Weak Strength Research Articles

JPEG-compatible Joint Image Compression and Encryption Algorithm with File Size Preservation

Joint image compression and encryption algorithms are intensively investigated due to their powerful capability of simultaneous image data compression and sensitive information protection. Unfortunately, most of the existing algorithms suffered from either poor compression efficiency or weak encryption strength, making them vulnerable to cryptanalysis. To address these limitations, we propose a chaos-based JPEG-compatible joint image compression and encryption algorithm. We separate the luminance and chrominance coefficients to preserve file size and encrypt the discrete cosine transform (DCT) coefficients in parallel. The proposed inter-block DC encryption strategy achieves high encryption intensity based on the permutation-substitution structure. In addition, we apply both inter- and intra-block permutations to AC coefficients and strengthen the encryption using an inter-block substitution for non-zero AC coefficients. The results of security and performance analyses demonstrate that the proposed algorithm offers robust encryption of image data while maintaining compression efficiency for real-time transmission.

Experimental investigation on shear strength deterioration at the interface between different rock types under cyclic loading

The shear strength deterioration of bedding planes between different rock types induced by cyclic loading is vital to reasonably evaluate the stability of soft and hard interbedded bedding rock slopes under earthquake; however, rare work has been devoted to this subject due to lack of attention. In this study, experimental investigations on shear strength weakening of discontinuities with different joint wall material (DDJM) under cyclic loading were conducted by taking the interface between siltstone and mudstone in the Shaba slope of Yunnan Province, China as research objects. A total of 99 pairs of similar material samples of DDJM (81 pairs) and discontinuities with identical joint wall material (DIJM) (18 pairs) were fabricated by inserting plates, engraved with typical surface morphology obtained by performing three-dimensional laser scanning on natural DDJMs sampled from field, into mold boxes. Cyclic shear tests were conducted on these samples to study their shear strength changes with the cyclic number considering the effects of normal stress, joint surface morphology, shear displacement amplitude and shear rate. The results indicate that the shear stress vs. shear displacement curves under each shear cycle and the peak shear strength vs. cyclic number curves of the studied DDJMs are between those of DIJMs with siltstone and mudstone, while closer to those of DIJMs with mudstone. The peak shear strengths of DDJMs exhibit an initial rapid decline followed by a gradual decrease with the cyclic number and the decrease rate varies from 6% to 55.9% for samples with varied surface morphology under different testing conditions. The normal stress, joint surface morphology, shear displacement amplitude and shear rate collectively influence the shear strength deterioration of DDJM under cyclic shear loading, with the degree of influence being greater for larger normal stress, rougher surface morphology, larger shear displacement amplitude and faster shear rate.

Advanced strategies for marine antifouling based on nanomaterial-enhanced functional PDMS coatings

Marine biofouling seriously affects human marine exploitation and transportation activities, to which marine antifouling (AF) coatings are considered to be the most cost-effective solution. Since the mid-20th century, human beings have dedicated their efforts on developing AF coatings with long cycle and high performance, leading to a large number of non-target organisms' distortion, death and marine environmental pollution. Polydimethylsiloxane (PDMS), is considered as one of the representative environment-friendly AF materials thanks to its non-toxic, hydrophobic, low surface energy and AF properties. However, PDMS AF coatings are prone to mechanical damage, weak adhesion strength to substrate, and poor static AF effect, which seriously restrict their use in the ocean. The rapid development of various nanomaterials provides an opportunity to enhance and improve the mechanical properties and antifouling properties of PDMS coating by embedding nanomaterials. Based on our research background and the problems faced in our laboratory, this article presents an overview of the current progress in the fields of PDMS composite coatings enhanced by different nanomaterials, with the discussion focused on the advantages and main bottlenecks currently encountered in this field. Finally, we propose an outlook, hoping to provide fundamental guidance for the development of marine AF field.

A regional attentive empirical orthogonal function analysis: An application to North Atlantic Oscillation

AbstractEmpirical orthogonal function (EOF) analysis is widely adopted for identifying spatial patterns in regular latitude‐longitude gridded geographical data. However, a standard EOF analysis could underestimate variances from low latitudes due to the increasing grid cell areas when moving toward the equator. A broadly adopted compensating approach is the area‐weighted EOF, where the grid data are multiplied by a factor proportional to the grid area, thereby forcing each datum to represent identical areas. In this article, we revisit the area‐weighting scheme and discuss its potential drawbacks. In particular, we show that along with compensating the unequal areas, another unaddressed issue is which region of the data is more relevant to our focused problem. We propose a regional attentive EOF (RA‐EOF) method, which resolves area‐compensation and region selection simultaneously. We conduct case studies of the North Atlantic Oscillation (NAO) analysis and perform RA‐EOF to the sea level pressure variability in the North Atlantic sector. Experiments show that our method evidently detects the NAO pattern in the leading mode of sea level pressure variability and suggests the southwestward movement of the southern action centre of NAO during the summers. Our findings clarify the ambiguity about the summer NAO in previous studies. The proposed methodology provides a potent instrument for discerning the spatial distribution and analysing the temporal variability of atmospheric teleconnections and oscillations, particularly in cases characterized by weak signal strength.

Turing Pattern Formation in Reaction-Cross-Diffusion Systems with a Bilayer Geometry

Conditions for self-organisation via Turing’s mechanism in biological systems represented by reaction-diffusion or reaction-cross-diffusion models have been extensively studied. Nonetheless, the impact of tissue stratification in such systems is under-explored, despite its ubiquity in the context of a thin epithelium overlying connective tissue, for instance the epidermis and underlying dermal mesenchyme of embryonic skin. In particular, each layer can be subject to extensively different biochemical reactions and transport processes, with chemotaxis - a special case of cross-diffusion - often present in the mesenchyme, contrasting the solely molecular transport typically found in the epidermal layer. We study Turing patterning conditions for a class of reaction-cross-diffusion systems in bilayered regions, with a thin upper layer and coupled by a linear transport law. In particular, the role of differential transport through the interface is explored together with the presence of asymmetry between the homogeneous equilibria of the two layers. A linear stability analysis is carried out around a spatially homogeneous equilibrium state in the asymptotic limit of weak and strong coupling strengths, where quantitative approximations of the bifurcation curve can be computed. Our theoretical findings, for an arbitrary number of reacting species, reveal quantitative Turing conditions, highlighting when the coupling mechanism between the layered regions can either trigger patterning or stabilize a spatially homogeneous equilibrium regardless of the independent patterning state of each layer. We support our theoretical results through direct numerical simulations, and provide an open source code to explore such systems further.

A review of terahertz metamaterial sensors and their applications

Terahertz (THz) waves possess unique characteristics such as high transmission, strong absorption, and low photon energy. THz metamaterial sensors, as label-free and rapid optical sensors, offer significant advantages in detection technology. These sensors enable high-sensitivity, efficient, non-destructive, and low-dose sensing due to the properties of THz waves, the sensitivity of metamaterial devices to changes in the surrounding dielectric environment and the characteristic fingerprint spectrum of biochemical molecules. THz metamaterial sensors hold great potential for applications in biomedicine, non-destructive testing, as well as the food and agricultural sectors. This paper provides a comprehensive review of various detection methods employed by THz metamaterial sensors, which consists of THz refractive index sensors, biometric fingerprint (characteristic absorption peak) sensors and biomass sensors. The study critically discusses different device structures and modulation principles used in these sensors, analyzing their respective strengths weaknesses and development trend. This review represents a broad introduction for beginners.

Integrated optimization method for transonic turbine based on direct free-form deformation and prescreening differential evolutionary optimizer

With the increased load of turbine stages, shock waves and secondary flow influence the performance of turbines more and more significantly. Aiming at improving the aerodynamic efficiency of transonic turbines, an integrated aerodynamic optimization platform for turbines has been established. The aerodynamic shape of the flow path and blades is simultaneously parametrized by a directly manipulated free-form deformation (DFFD) method, and the optimization is conducted via a data-driven differential evolutionary algorithm. Furthermore, a prescreening strategy is introduced to enhance the convergence speed of the optimizer. The TTM-stage is selected as the research object. The result shows that the turbine isentropic efficiency at the design point increases from 90.45 % to 91.94 % after optimization. The main reasons for aerodynamic performance enhancement are the weakening of shock waves and the reduction of separation regions. As a comparison, another two optimization cases are carried out. One optimizes the blades individually with the same methods and configurations, and the other optimizes the blades and flow path simultaneously without the prescreening strategy. The optimized isentropic efficiency in the latter two cases is 91.31 % and 90.92 %, whichis 0.63 % and 1.02 % lower than the first optimization result, respectively. This shows the effectiveness of the proposed optimization method for turbine performance improvement.

COMBINING MAGNETICALLY ASSISTED AND MATRIX-ASSISTED 3D BIOPRINTING FOR ANISOTROPIC TISSUE ENGINEERING

A major obstacle in biofabrication is replicating the organization of the extracellular matrix and cellular patterns found in anisotropic tissues within bioengineered constructs. While magnetically-assisted 3D bioprinting techniques have the potential to create scaffolds that mimic natural biological structures, they currently lack the ability to accurately control the dispersion of magnetic substances within the bioinks without compromising the fidelity of the intended composite. To overcome this dichotomy, the concepts of magnetically- and matrix-assisted 3D bioprinting are combined here. This method preserves the resolution of printed structures by keeping low viscosity bioinks uncrosslinked during printing, which allows for the arrangement of magnetically-responsive microfibers without compromising the structural integrity of the design. Solidification is induced after the microfibers are arranged in the desired pattern. Furthermore, the precise design of these magnetic microfillers permits the utilization of low levels of inorganic materials and weak magnetic field strengths, which reduces the potential risks that may be associated with their use. The effectiveness of this approach is evaluated in the context of tendon tissue engineering, and the results demonstrate that combining the tendons like anisotropic fibrous microstructure with remote magneto-mechanical stimulation during in vitro maturation provides both biochemical and biophysical cues that effectively guide human adipose-derived stem cells towards a tenogenic phenotype In summary, the developed strategy allows the fabrication of anisotropic high-resolution magnetic composites with remote stimulation functionalities, opening new horizons for tissue engineering applications.Acknowledgments: ERC Grant CoG MagTendon nr 772817, BioChips PoC project nr 10106930, (PD/BD/129403/2017), (CEECIND/01375/2017), (2020.03410.CEECIND), (2022.05526.PTDC), (ED481B2019/025).

Gut-muscle axis mechanism of exercise prevention of sarcopenia.

Sarcopenia refers to an age-related systemic skeletal muscle disorder, which is characterized by loss of muscle mass and weakening of muscle strength. Gut microbiota can affect skeletal muscle through a variety of mechanisms. Gut microbiota present distinct features among elderly people and sarcopenia patients, including a decrease in microbial diversity, which might be associated with the quality and function of the skeletal muscle. There might be a gut-muscle axis; where gut microbiota and skeletal muscle may affect each other bi-directionally. Skeletal muscle can affect the biodiversity of the gut microbiota, and the latter can, in turn, affect the anabolism of skeletal muscle. This review examines recent studies exploring the relationship between gut microbiota and skeletal muscle, summarizes the effects of exercise on gut microbiota, and discusses the possible mechanisms of the gut-muscle axis.

Study on the Compressive Properties of RPC Restrained by CFRP Sheet under Low-Temperature Curing

Abstract To address the problem of significant degradation of compressive properties of reactive powder concrete (RPC) after freezing during the curing period in a low-temperature environment, carbon fiber–reinforced polymer (CFRP) was used to restrain RPC specimens with carbon fiber filament content of 0 or 1 %, and axial compression tests were performed after low-temperature curing (20°C, −5°C, −15°C, and −25°C). The effects of temperature, restraint, and carbon fiber filament content on the compression properties of the RPC were analyzed. Results of the analysis showed that the mechanical properties of RPC under compression decreased with decreasing curing temperature. The use of CFRP sheets for the restraint of RPC specimens and the addition of carbon fiber filaments can both increase the ultimate load capacity of RPC specimens at each curing temperature, and the specimens were relatively intact after damage. With the addition of carbon fiber filaments, which can slow down the rate of decay of load capacity as curing temperature decreases, the degree of load capacity improvement is greater the lower the temperature. The degree of load capacity increase of the CFRP sheet decreases with decreasing temperature because of the weakening of the epoxy resin adhesive bond strength in the CFRP sheet at low temperatures. Both CFRP sheets and carbon fiber filament can increase the compressive pre-crack energy absorbed by RPC at each of the temperatures and can increase the toughness of RPC at low temperatures.

Characteristics of Skeletal Muscle Strength in Subjects With Interstitial Lung Disease

ObjectivesTo investigate muscle strength and the prevalence of muscle weakness in adults with interstitial lung diseases (ILDs) compared to healthy subjects. DesignCross-sectional (description of clinical features). SettingPublic referral center (University Hospital). ParticipantsOne hundred and twelve adults with ILD (n=48, 60±10yr, 68% female) and healthy counterparts (control group, n=64, 57±10yr, 58% female) (N=112). InterventionNot applicable. Main Outcome Measure(s)Muscle strength and prevalence of muscle weakness in adults with ILD. Muscle strength was assessed via maximal isometric voluntary contraction of dominant upper and lower limb muscle groups. Data from the control group were used to generate reference equations. Muscle weakness was defined as a muscle strength value below the lower limit of normal calculated using data from the control group. Data were expressed as mean ± SD or median [interquartile range] according to the data distribution. ResultsCompared to the control group, adults with ILD had lower muscle strength for all muscle groups assessed (values presented as %predicted: pectoralis major 75[57-86]%; quadriceps 72[58-87]%; latissimus dorsi 76[57-103]%; deltoid 74[64-98]%; biceps brachii 78[64-91]%; triceps brachii 84[62-101]%; P≤.001 for all). Prevalence of muscle weakness in people with ILD was 40% for pectoralis major, 25% for latissimus dorsi, 16% for triceps brachii, 20% for biceps brachii, 27% for deltoid and 46% for quadriceps. ConclusionsAdults with ILD present a generalised reduction in peripheral Muscle strength, ranging between 20% to 46% of people depending on the muscle group assessed. and it was more prevalent in lower limb muscles.

Sarcopaenia

Sarcopaenia is a common condition characterized by loss of muscle mass presenting with muscle weakness and loss of strength. Progressive and widespread decline in both skeletal muscle mass and strength can result from natural aging process andor prolonged periods of immobility. Muscle mass loss encompasses a decline in both the quantity of muscle fibers and a reduction in their individual sizes. The rate at which muscle loss occurs is influenced by various factors including ones level of physical activity the loss or presence of concurrent medical conditions dietary habits and other relevant factors. Sarcopaenia influences the health of the individual through frailty and disability. Sarcopenia is frequently linked with reduced endurance lack of physical activity diminished walking speed impaired balance and decreased overall mobility. There is difficulty in climbing stairs and increased risk of falls in elderly. It affects their functional independence.

The effect of carboxymethyl cellulose (CMC) and banana puree (Musa acuminata Colla) addition on the characteristics and microstructure of goat milk yogurt

Yogurt is one of the fermented products which may have increased functional value. However, yogurt made from goat milk has a weak gel strength and high level of syneresis which may reduce consumer acceptance. The addition of CMC and banana puree was expected to improve the characteristics of yogurt. The aim of this research was to study the effect of the addition of CMC (0.75; 1; and 1.25%) and banana puree (10 and 20%) on the characteristics of goat milk yogurt (viscosity, syneresis, total lactic acid bacteria, total acid, and pH). Further analysis was carried out using Scanning Electron Microscopy (SEM) to study the microstructure of goat milk yogurt in depth. The results showed that the addition of CMC had a significant effect on the viscosity, while the addition of banana puree had a significant effect not only on the viscosity, but also total acid and pH. There was an interaction between these two factors on the syneresis. The best treatment was obtained at the addition of 1% CMC and 20% banana puree with the viscosity of 7991 cP, syneresis of 6.23%, total lactic acid bacteria of 2.4 x 108 CFU/mL, total acid of 1.49% and pH of 4.49. The microstructure of best treatment goat milk yogurt had denser, more compact and smaller voids than those of control one.

Metal-ion-determined geometrical configurations of metallo-cages with different emission properties.

The formation of metallo-cages is affected by a variety of factors such as the ligands, metals, and anions, among which the impact of metals with different binding capacities is particularly important, but has rarely been studied in three-dimensional metallo-cages. Herein, we report the design of truxene-centered terpyridine ligands and the self-assembly of a series of tetrameric metallo-cages. The utilization of metal ions with strong (Zn2+, Fe2+) or weak (Cd2+) binding strength afforded 3D metallo-cages with low symmetry or highly symmetric metallo-tetrahedra, respectively, possessing totally different geometrical configurations. In addition, their photophysical properties and host-guest chemical properties were investigated.

A Life-Threatening Neurotoxicity in Bungarus Candidus Snake Bite: A Case Report

Background: Bungarus Candidus, a snake inducing severe neurotoxic symptoms. Case: A 31-year-old female presented to the emergency department with complaints of pain in the whole body, limb weakness, shortness of breath after being bitten by a snake. Neurological examination, ptosis of both eyelids was found with normal movement of the eyeballs. Muscle strength in all extremities is 4 followed by decreased physiological reflexes. There are fang marks in the form of 2 slightly swollen and reddened black dots on the left foot. During observation, the patient had decreased consciousness, severe shortness of breath with desaturation without any signs of shock. Other clinical revealed bilateral dilated pupils, dysphonia, dysarthria, and muscle strength that was difficult to assess. The patient was intubated and subsequently admitted to the ICU. The patient regained consciousness but still had difficulty opening his eyes and weak muscle strength on the 2nd of ICU. The patient's condition improved on the 5th of ICU, extubating was performed and transferred to the non-ICU. The treatment obtained included 17 vials of SABU, analgesics, antibiotics, anticholinesterase, and anticholinergic. The patient was discharged after 11 days of hospitalization. Discussion: The neurotoxicity of snake venom is related to mechanisms of neuromuscular transmission blockade, pre-synaptic and post-synaptic. Bungarus Candidus has a peculiar type of toxin, candoxin that acts by inhibiting nicotinic acetylcholine receptors at the postsynaptic site. Recognition of symptoms and management interventions in snakebite cases are critical to patient outcomes and survival.

Emerging environmentally friendly bio-based nanocomposites for the efficient removal of dyes and micropollutants from wastewater by adsorption: a comprehensive review.

Water scarcity will worsen due to population growth, urbanization, and climate change. Addressing this issue requires developing energy-efficient and cost-effective water purification technologies. One approach is to use biomass to make bio-based materials (BBMs) with valuable attributes. This aligns with the goal of environmental conservation and waste management. Furthermore, the use of biomass is advantageous because it is readily available, economical, and has minimal secondary environmental impact. Biomass materials are ideal for water purification because they are abundant and contain important functional groups like hydroxyl, carboxyl, and amino groups. Functional groups are important for modifying and absorbing contaminants in water. Single-sourced biomass has limitations such as weak mechanical strength, limited adsorption capacity, and chemical instability. Investing in research and development is crucial for the development of efficient methods to produce BBMs and establish suitable water purification application models. This review covers BBM production, modification, functionalization, and their applications in wastewater treatment. These applications include oil-water separation, membrane filtration, micropollutant removal, and organic pollutant elimination. This review explores the production processes and properties of BBMs from biopolymers, highlighting their potential for water treatment applications. Furthermore, this review discusses the future prospects and challenges of developing BBMs for water treatment and usage. Finally, this review highlights the importance of BBMs in solving water purification challenges and encourages innovative solutions in this field.

Comparison of distance-based spatial weight matrix in modeling Internet signal strengths in Tasikmalaya regency using logistic spatial autoregressive model

To ensure that national development objectives in rural areas are achieved evenly and sustainably, the Government of Indonesia applies the principles of Village Sustainable Development Goals (SDGs), which are derivative programs of SDGs. One of the indicators in measuring the progress and independence of villages in Indonesia is the availability of cellular phone signal access. Cellular phone signals have a vital role because most internet users in Indonesia rely on mobile data connections from cellular operators. However, the signal emitted by a provider tower has a limited range. According to the data of the Developing Villages Index in 2022, Tasikmalaya Regency is one of the regencies with the highest number of villages that have weak signal strength in West Java Province, Indonesia. To examine the effect of distance and height difference between the placement of the nearest provider tower and the location of the Village Office on the internet signal strength category in Tasikmalaya Regency, Logistic Spatial Autoregressive modeling is needed. In this study, the Bayesian Markov-Chain Monte Carlo estimation method was used, because it has advantages in flexibility and computational efficiency. In spatial modeling, there is a spatial weight matrix determined by the researcher’s understanding of the observed phenomenon. The variable observed in this study is signal strength, which has an orientation at a distance. However, there are several types of distance-based spatial weight matrices, such as K-nearest neighbor, radial distance, power distance, and exponential distance. To determine the most suitable distance-based spatial weight matrix in internet signal strength modeling, the four (4) weight matrices were compared based on the goodness of fit measure models, calculated from the confusion matrix. The results of the analysis showed that the radial distance weight matrix with a threshold distance of d = 1.7km is the most suitable use of distance-based spatial weight matrix in internet signal modeling in Tasikmalaya Regency. The weight matrix exerted a positive spatial autocorrelation effect of 57.141%. In addition, the height difference factor between the location of the provider tower with the location of the village office has a greater effect than the horizontal distance.

From Feast to Famine: A Systematic Study of Accretion onto Oblique Pulsars with 3D GRMHD Simulations

Disk-fed accretion onto neutron stars can power a wide range of astrophysical sources ranging from X-ray binaries, to accretion-powered millisecond pulsars, ultraluminous X-ray sources, and gamma-ray bursts. A crucial parameter controlling the gas–magnetosphere interaction is the strength of the stellar dipole. In addition, coherent X-ray pulsations in many neutron star systems indicate that the star's dipole moment is oblique relative to its rotation axis. Therefore, it is critical to systematically explore the 2D parameter space of the star's magnetic field strength and obliquity, which is what this work does, for the first time, in the framework of 3D general-relativistic magnetohydrodynamics. If the accretion disk carries its own vertical magnetic field, this introduces an additional factor: the relative polarity of the disk and stellar magnetic fields. We find that depending on the strength of the stellar dipole and the star–disk relative polarity, the neutron star's jet power can either increase or decrease with increasing obliquity. For weak dipole strength (equivalently, high accretion rate), the parallel polarity results in a positive correlation between jet power and obliquity, whereas the antiparallel orientation displays the opposite trend. For stronger dipoles, the relative-polarity effect disappears, and jet power always decreases with increasing obliquity. The influence of the relative polarity gradually disappears as obliquity increases. Highly oblique pulsars tend to have an increased magnetospheric radius, a lower mass accretion rate, and enter the propeller regime at lower magnetic moments than aligned stars.

Exploring fluctuations and interconnected movements in stock, commodity, and cryptocurrency markets

Abstract This research employs a vector autoregression (VAR) analysis to explore the volatility and dynamic interactions between stock, commodity, and cryptocurrency markets. It focuses on the returns of the S&P 500, gold, crude oil, and Bitcoin to analyse their interconnections. Our results indicate that Bitcoin returns positively affect S&P 500 and crude oil, but negatively impact gold. Conversely, crude oil returns have a positive influence on gold but lead to decreased returns for Bitcoin and the S&P 500. Similarly, higher gold returns correspond to increased returns in crude oil and S&P 500 but decreased returns in Bitcoin. The rise of the S&P 500 negatively influences Bitcoin and crude oil returns, while gold returns remain unaffected. However, these relationships exhibit weak and limited strength. Including these assets in a portfolio can help risk mitigation, as Bitcoin diversifies crude oil, gold, and S&P 500, and crude oil diversifies S&P 500. These findings contribute to our understanding of global financial dynamics and inform decision-making in risk assessment, portfolio management, risk mitigation, and diversification strategies.

Trajectories and Predictors of Weight-Bearing and Non-Weight-Bearing Pain in Knee Osteoarthritis: A 9-Year Follow-Up Study.

To identify distinct developmental trajectories of weight-bearing pain (WBP) and non-weight-bearing pain (NWBP) and examine the trajectory predictors in individuals with or at risk of knee osteoarthritis. We included 971 participants from the Osteoarthritis Initiative whose baseline magnetic resonance imaging data and 9-year follow-up data on pain were available. We applied group-based trajectory modeling to identify WBP and NWBP trajectories over 9 years. Univariate and multivariate multinomial logistic regression analyses were performed to examine the predictors of identified trajectories. Three distinct WBP trajectories were identified: "no pain" (32.4%), "mild pain" (44.6%), and "moderate pain" (23%). Three distinct NWBP trajectories were identified: "no pain" (50.9%), "mild pain" (33.4%), and "moderate pain" (15.7%). In multivariate analyses, high body mass index, depression, multisite pain, radiographic knee OA, and comorbidities were associated with worse development trajectories for WBP and NWBP. Weak quadriceps strength and bone marrow lesion were only associated with worse WBP trajectories, whereas low education level was only associated with worse NWBP trajectories. The developmental course of pain is heterogeneous in WBP or NWBP. Quadriceps strength and bone marrow leisure may be WBP-specific predictors, whereas education level may be a NWBP-specific predictor. The assessment of knee pain should be more accurate, which may help select appropriate therapeutic targets.