Linkage Effect Induced by Hierarchical Architecture in Magnetic MXene-based Microwave Absorber.

Hierarchical architecture engineering is desirable in integrating the physical-chemical behaviors and macroscopic properties of materials, which present great potential for developing multifunctional microwave absorption materials. However, the intrinsic mechanisms and correlation conditions among cellular units have not been revealed, which are insufficient to maximize the fusion of superior microwave absorption (MA) and derived multifunctionality. Herein, based on three models (disordered structure, porous structure, lamellar structure) of structural units, a range of MXene-aerogels with variable constructions are fabricated by a top-down ice template method. The aerogel with lamellar structure with a density of only 0.015 g cm-3 exhibits the best MA performance (minimum reflection loss: -53.87 dB, effective absorption bandwidth:6.84 GHz) at a 6 wt.% filling ratio, which is preferred over alternative aerogels with variable configurations. This work elucidates the relationship between the hierarchical architecture and the superior MA performance. Further, the MXene/CoNi Composite aerogel with lamellar structure exhibits >90% compression stretch after 1000 cycles, excellent compressive properties, and elasticity, as well as high hydrophobicity and thermal insulation properties, broadening the versatility of MXene-based aerogel applications. In short, through precise microstructure design, this work provides a conceptually novel strategy to realize the integration of electromagnetic stealth, thermal insulation, and load-bearing capability simultaneously.

Multi-Server Multi-Function Distributed Computation.

The work here studies the communication cost for a multi-server multi-task distributed computation framework, as well as for a broad class of functions and data statistics. Considering the framework where a user seeks the computation of multiple complex (conceivably non-linear) tasks from a set of distributed servers, we establish the communication cost upper bounds for a variety of data statistics, function classes, and data placements across the servers. To do so, we proceed to apply, for the first time here, Körner's characteristic graph approach-which is known to capture the structural properties of data and functions-to the promising framework of multi-server multi-task distributed computing. Going beyond the general expressions, and in order to offer clearer insight, we also consider the well-known scenario of cyclic dataset placement and linearly separable functions over the binary field, in which case, our approach exhibits considerable gains over the state of the art. Similar gains are identified for the case of multi-linear functions.

The relationships among metacognitive functions, sleep-related thought-control strategies and sleep quality: A mediation analysis.

In the context of sleep disturbances, increasing evidence suggests a critical role of sleep-related dysfunctional metacognitive activity, including metacognitive control of intrusive thoughts in the pre-sleep period. Although the relationship between sleep-related thought-control strategies and poor sleep quality is well recognized, the possible contribution of general metacognitive functioning within this relation is still unclear. In this study, we performed a mediation analysis to examine the role of thought-control strategies on the relationship between metacognitive abilities and sleep quality in individuals with different self-reported sleep characteristics. Two-hundred and forty-five individuals participated in the study. Participants completed the Pittsburgh Sleep Quality Index, the Thought Control Questionnaire Insomnia-Revised, and the Metacognition Self-Assessment Scale to evaluate sleep quality, thought-control strategies and metacognitive functions, respectively. The results showed that worry strategy in the pre-sleep period mediates the relationship between metacognitive functions and sleep quality. Particularly, the ability to understand one's mental states and mastery functions could be the two metacognitive domains primarily involved in the dysfunctional metacognitive thought-control activity responsible for reduced sleep quality. The observed effect suggests that inadequate metacognitive functioning is associated with poor sleep quality in healthy subjects via the mediation of dysfunctional worry strategy. These findings suggest the potential relevance of clinical interventions to enhance specific metacognitive abilities, with the aim to promote more functional strategies for managing cognitive and emotional processes during the pre-sleep period.

Development of naringenin-O-carbamate derivatives as multi-target-directed liagnds for the treatment of Alzheimer's disease.

In this work, a series of naringenin-O-carbamate derivatives was designed and synthesized as multifunctional agents for the treatment of Alzheimer's disease (AD) through multi-target-directed ligands (MTDLs) strategy. The biological activity in vitro showed that compound 3c showed good antioxidant potency (ORAC = 1.0 eq), and it was a reversible huAChE (IC50 = 9.7 µM) inhibitor. In addition, compound 3c significantly inhibited self-induced Aß1-42 aggregation, and it could activate UPS degradation pathway in HT22 cells and clear the aggregated proteins associated with AD. Moreover, compound 3c was a selective metal chelator, and it significantly inhibited and disaggregated Cu2+-mediated Aß1-42 aggregation. Furthermore, compound 3c displayed remarkable neuroprotective effect and anti-inflammatory property. Interestingly, compound 3c displayed good hepatoprotective effect by its antioxidant activity. More importantly, compound 3c demonstrated favourable blood-brain barrier penetration in vitro and drug-like property. Therefore, compound 3c was a promising multifunctional agent for the treatment of AD.

Multifunctional Role of Silica in Pharmaceutical Formulations.

Due to the high surface area, adjustable surface and pore structures, and excellent biocompatibility, nano- and micro-sized silica have certainly attracted the attention of many researchers in the medical fields. This review focuses on the multifunctional roles of silica in different pharmaceutical formulations including solid preparations, liquid drugs, and advanced drug delivery systems. For traditional solid preparations, it can improve compactibility and flowability, promote disintegration, adjust hygroscopicity, and prevent excessive adhesion. As for liquid drugs and preparations, like volatile oil, ethers, vitamins, and self-emulsifying drug delivery systems, silica with adjustable pore structures is a good adsorbent for solidification. Also, silica with various particle sizes, surface characteristics, pore structure, and surface modification controlled by different synthesis methods has gained wide attention owing to its unparalleled advantages for drug delivery and disease diagnosis. We also collate the latest pharmaceutical applications of silica sorted out by formulations. Finally, we point out the thorny issues for application and survey future trends pertaining to silica in an effort to provide a comprehensive overview of its future development in the medical fields. Graphical Abstract.

Design, synthesis and evaluation of cinnamic acid hybrids as multi-target-directed agents for the treatment of Alzheimer's disease.

Herein, combining 1,2,3,4-tetrahydroisoquinoline and benzylpiperidine groups into cinnamic acid derivatives, a series of novel cinnamic acid hybrids was rationally designed, synthesized and evaluated by the multi-target-directed ligands (MTDLs) strategy. Hybrid 4e was the most promising one among these hybrids with a reversible huBuChE inhibitor (IC50 = 2.5 µM) and good MAO-B inhibition activity (IC50 = 1.3 µM) and antioxidant potency (ORAC = 0.4 eq). Moreover, compound 4e significantly inhibited self-mediated Aß1-42 aggregation (65.2% inhibition rate). Compound 4e exhibited remarkable anti-inflammatory propery and neuroprotective effect. Furthermore, compound 4e displayed favourable blood-brain barrier penetration via parallel artificial membrane permeation assay (PAMPA). The obtained results also revealed that compound 4e significantly improved dyskinesia recovery rate and response efficiency on AD model zebrafish. Further, 4e did not show obvious acute toxicity at dose up to 1500 mg/kg in vivo and improved scopolamine-induced memory impairment. Importantly, compound 4e showed good stability in both artificial gastric fluid and artificial intestinal fluid. Therefore, compound 4e presented a promising multi-targeted active molecule for treating AD.

Development of genistein-O-alkylamines derivatives as multifunctional agents for the treatment of Alzheimer's disease.

The multi-target-directed ligands have been regarded as the promising multifunctional agents for the treatment of Alzheimer's disease (AD). Based on our previous work, a series of genistein-O-alkylamines derivatives was developed to further explore the structure-activity-relationship. The results showed that compound 7d indicated reversible and highly selective hAChE inhibitory activity with IC50 value of 0.53 µM. Compound 7d also displayed good antioxidant activity (ORAC = 1.1 eq.), promising neuroprotective effect and selective metal chelation property. Moreover, compound 7d significantly inhibited self-induced, hAChE-induced and Cu2+-induced Aß aggregation with 39.8%, 42.1% and 74.1%, respectively, and disaggregated Cu2+-induced Aß1-42 aggregation (67.3%). In addition, compound 7d was a potential autophagy inducer and improved the levels of GPX4 protein. Furthermore, compound 7d presented good blood-brain-barrier permeability in vitro. More importantly, compound 7d did not show any acute toxicity at doses of up to 1000 mg/kg and presented good precognitive effect on scopolamine-induced memory impairment. Therefore, compound 7d was a promising multifunctional agent for the development of anti-AD drugs.

Performance evaluation of time-sharing utilization of multi-function sponge space to reduce waterlogging in a highly urbanizing area.

Urban waterlogging is a dilemma faced by many highly urbanizing areas. To solve the contradiction between the space requirement for waterlogging control and the scarcity of urban space, time-sharing utilization of the multi-function sponge space (MFSS) is promoted in some urbanizing areas. The MFSS is designed to have certain social or economic functions during dry or light rain events and detains stormwater on heavy rain events. However, there is lack of understanding on how to achieve the maximum benefit of multi-function. In this study, three time-sharing utilization modes are proposed to use MFSS to detain runoff: when the rain event begins (Mode A), when cumulative rainfall is greater than a specific threshold (Mode B), or when rainfall intensity is higher than a specific threshold (Mode C). A methodological framework based on the Storm Water Management Model (SWMM) is proposed to evaluate the waterlogging reduction performance of the three modes under different rainfall conditions and thresholds for enabling MFSS in an urbanizing catchment in Shenzhen, China. The performance is measured by comparing the total volume of overflow from manholes of the drainage system with and without MFSS during a storm event. The results indicate that: (1) Under Mode A, the performance is more effective under a light storm event with an early peak; (2) Under Mode B, as the cumulative rainfall threshold for enabling MFSS increases, the overflow first decreases and then increases. Different threshold values have to be set for different types of rainfall events to achieve the best performance; (3) Under Mode C, as the rainfall intensity threshold for enabling MFSS increases, the overflow also first decreases and then rapidly increases at a high threshold value. The mode has an identical range of optimal thresholds under different types of rainfall events. Furthermore, Mode C has higher efficiency in overflow reduction than the other two modes, no matter whether under design storms or historical storms. Therefore, Mode C is recommended as an efficient and stable utilization mode for MFSS.

Novel Approach for the Recognition and Prediction of Multi-Function Radar Behaviours Based on Predictive State Representations.

The extensive applications of multi-function radars (MFRs) have presented a great challenge to the technologies of radar countermeasures (RCMs) and electronic intelligence (ELINT). The recently proposed cognitive electronic warfare (CEW) provides a good solution, whose crux is to perceive present and future MFR behaviours, including the operating modes, waveform parameters, scheduling schemes, etc. Due to the variety and complexity of MFR waveforms, the existing approaches have the drawbacks of inefficiency and weak practicability in prediction. A novel method for MFR behaviour recognition and prediction is proposed based on predictive state representation (PSR). With the proposed approach, operating modes of MFR are recognized by accumulating the predictive states, instead of using fixed transition probabilities that are unavailable in the battlefield. It helps to reduce the dependence of MFR on prior information. And MFR signals can be quickly predicted by iteratively using the predicted observation, avoiding the very large computation brought by the uncertainty of future observations. Simulations with a hypothetical MFR signal sequence in a typical scenario are presented, showing that the proposed methods perform well and efficiently, which attests to their validity.

Customized Pore Creation Strategies for Hyperelastic, Robust, Insulating Multifunctional MXene Aerogels for Microwave Absorption.

The construction of heterogeneous microstructure and the selection of multicomponents have turned into a research hotspot in developing ultralight, multifunctional, high-efficiency electromagnetic wave absorbing (EMA) materials. Although aerogels are promising materials to fulfill the above requirements, the increase in functional fillers inevitably leads to the deterioration of intrinsic properties. Tuning the electromagnetic properties from the structural design point of view remains a difficult challenge. Herein, we design customized pore creation strategies via introducing sacrificial templates to optimize the conductive path and construct the discontinuous dielectric medium, increasing dielectric loss and achieving efficient microwave absorption properties. A 3D porous composite (MEM) was crafted, which encapsulated an EVA/FeCoNi (EVA/MNPs) framework with Ti3C2Tx MXene coating by employing a direct heated cross-linking and immersion method. Controllable adjustment of the conductive network inside the porous structure and regulation of the dielectric character are achieved by porosity variation. Eventually, the MEM-5 with a porosity of 66.67% realizes RLmin of -39.2 dB (2.2 mm) and can cover the entire X band. Moreover, through off-axis electronic holography and the calculation of conduction loss and polarization loss, the dielectric property is deeply investigated, and the inner mechanism of optimization is pointed out. Thanks to the inherent characteristic of EVA and the porous structure, MEM-5 showed excellent thermal insulating and superior compressibility, which can maintain 60 °C on a 90-100 °C continuous heating stage and reached a maximum compressive strength of 60.12 kPa at 50% strain. Conceivably, this work provides a facile method for the fabrication of highly efficient microwave absorbers applied under complex conditions.

"Reservoir-law" synergistic reinforcement of electrostatic spun polylactic acid composites with cellulose nanocrystals and 2-hydroxypropyl-ß-cyclodextrin for intelligent bioactive food packaging.

Cellulose nanocrystals (CNCs) were obtained from the extraction and bleaching of jute cellulose as the enhancer, 2-hydroxypropyl-ß-cyclodextrin (HP-ß-CD) as the carrier, the flavonoids-anthocyanidins and cinnamaldehyde as the bioactive agent, and finally a novel kind of polylactic acid (PLA)-based composite membrane was derived by electrostatic spun method. With the increasing concentration, HP-ß-CDs cooperated with CNCs to regulate or control the release rate of bioactive compounds, which had a synergistic effect on the performance of the PLA matrix. The mechanical strength of PLA-3.2 composite with tannic acid (TA) surface cross-linking was 29.6 % higher than neat PLA, and could also continuously protect cells from oxidative stress and free radicals. In addition, excellent cell biocompatibility was found, and attributed to the interaction between bioactive compounds and cell membrane. In addition, we also found two excellent properties from our experimental results: obvious intelligent color reaction and good antibacterial ability. Finally, PLA-3.2 composites could be degraded by soil and are conducive to plant root growth. Hence, this work could solve many of the current problems of biodegradability and functionality of biopolymers for potential applications in areas such as intelligent bioactive food packaging.

Macrophage metabolic reprogramming-based diabetic infected bone defect/bone reconstruction though multi-function silk hydrogel with exosome release.

Diabetic infected bone defects (DIBD) with abnormal immune metabolism are prone to the hard-to-treat bacterial infections and delayed bone regeneration, which present significant challenges in clinic. Control of immune metabolism is believed to be important in regulating fundamental immunological processes. Here, we developed a macrophage metabolic reprogramming hydrogel composed of modified silk fibroin (Silk-6) and poly-l-lysine (ε-PL) and further integrated with M2 Macrophage-derived Exo (M2-Exo), named Silk-6/ε-PL@Exo. This degradable hydrogel showed a broad-spectrum antibacterial performance against both Gram-positive and -negative bacteria. More importantly, the release of M2-Exo from Silk-6/ε-PL@Exo could target M1 macrophages, modulating the activity of the key enzyme hexokinase II (HK2) to control the inflammation-related NF-κB pathway, alleviate lactate accumulation, and inhibit glycolysis to normalize the cycle, thereby promoting M1-to-M2 balance. Using a rat model of DIBD, Silk-6/ε-PL@Exo hydrogel promoted infection control, balanced immune responses and accelerated the bone defect healing. Overall, this study demonstrates that this Silk-6/ε-PL @Exo is a promising filler biomaterial with multi-function to treat DIBD and emphasizes the importance of metabolic reprogramming in bone regeneration.

Design and assessment of a reconfigurable behavioral assistive robot: a pilot study.

Introduction: For patients with functional motor disorders of the lower limbs due to brain damage or accidental injury, restoring the ability to stand and walk plays an important role in clinical rehabilitation. Lower limb exoskeleton robots generally require patients to convert themselves to a standing position for use, while being a wearable device with limited movement distance. Methods: This paper proposes a reconfigurable behavioral assistive robot that integrates the functions of an exoskeleton robot and an assistive standing wheelchair through a novel mechanism. The new mechanism is based on a four-bar linkage, and through simple and stable conformal transformations, the robot can switch between exoskeleton state, sit-to-stand support state, and wheelchair state. This enables the robot to achieve the functions of assisted walking, assisted standing up, supported standing and wheelchair mobility, respectively, thereby meeting the daily activity needs of sit-to-stand transitions and gait training. The configuration transformation module controls seamless switching between different configurations through an industrial computer. Experimental protocols have been developed for wearable testing of robotic prototypes not only for healthy subjects but also for simulated hemiplegic patients. Results: The experimental results indicate that the gait tracking effect during robot-assisted walking is satisfactory, and there are no sudden speed changes during the assisted standing up process, providing smooth support to the wearer. Meanwhile, the activation of the main force-generating muscles of the legs and the plantar pressure decreases significantly in healthy subjects and simulated hemiplegic patients wearing the robot for assisted walking and assisted standing-up compared to the situation when the robot is not worn. Discussion: These experimental findings demonstrate that the reconfigurable behavioral assistive robot prototype of this study is effective, reducing the muscular burden on the wearer during walking and standing up, and provide effective support for the subject's body. The experimental results objectively and comprehensively showcase the effectiveness and potential of the reconfigurable behavioral assistive robot in the realms of behavioral assistance and rehabilitation training.

Rational Design of Highly Comprehensive Liquid-Like Coatings with Enhanced Transparency, Concerted Multi-Function, and Excellent Durability: A Ternary Cooperative Strategy.

Durable repellent surfaces of high transparency find key applications in daily life and industry. Nevertheless, developing anti-reflective coatings with omni-repellency, concerted multi-function, and desirable durability remains a daunting challenge. Here, a highly comprehensive coating is designed based on the combination of structural design and molecular design. The resulting silica hybrid coating not only manifests enhanced transparency and exceptional omniphobicity, but also achieves integration of multi-function (e.g., anti-smudge, anti-icing, and anti-corrosion). The unprecedented durability of the coating is evidenced by maintaining slipperiness after rigorous treatments, such as 2.5 × 105-cycle mechanical abrasion with a high loading pressure of 100 kPa, 1000-cycle adhesion/peeling and soaking in extreme pH solutions, etc. This work provides a design blueprint for manufacturing versatile and durable coatings for wide-ranging applications.

In Situ Atomic Reconstruction Engineering Modulating Graphene-Like MXene-Based Multifunctional Electromagnetic Devices Covering Multi-Spectrum.

With the diversified development of big data, detection and precision guidance technologies, electromagnetic (EM) functional materials and devices serving multiple spectrums have become a hot topic. Exploring the multispectral response of materials is a challenging and meaningful scientific question. In this study, MXene/TiO2 hybrids with tunable conduction loss and polarization relaxation are fabricated by in situ atomic reconstruction engineering. More importantly, MXene/TiO2 hybrids exhibit adjustable spectral responses in the GHz, infrared and visible spectrums, and several EM devices are constructed based on this. An antenna array provides excellent EM energy harvesting in multiple microwave bands, with |S11| up to - 63.2 dB, and can be tuned by the degree of bending. An ultra-wideband bandpass filter realizes a passband of about 5.4 GHz and effectively suppresses the transmission of EM signals in the stopband. An infrared stealth device has an emissivity of less than 0.2 in the infrared spectrum at wavelengths of 6-14 µm. This work can provide new inspiration for the design and development of multifunctional, multi-spectrum EM devices.

Levenberg-Marquardt deep neural watermarking for 3D mesh using nearest centroid salient point learning.

Watermarking is one of the crucial techniques in the domain of information security, preventing the exploitation of 3D Mesh models in the era of Internet. In 3D Mesh watermark embedding, moderately perturbing the vertices is commonly required to retain them in certain pre-arranged relationship with their neighboring vertices. This paper proposes a novel watermarking authentication method, called Nearest Centroid Discrete Gaussian and Levenberg-Marquardt (NCDG-LV), for distortion detection and recovery using salient point detection. In this method, the salient points are selected using the Nearest Centroid and Discrete Gaussian Geometric (NC-DGG) salient point detection model. Map segmentation is applied to the 3D Mesh model to segment into distinct sub regions according to the selected salient points. Finally, the watermark is embedded by employing the Multi-function Barycenter into each spatially selected and segmented region. In the extraction process, the embedded 3D Mesh image is extracted from each re-segmented region by means of Levenberg-Marquardt Deep Neural Network Watermark Extraction. In the authentication stage, watermark bits are extracted by analyzing the geometry via Levenberg-Marquardt back-propagation. Based on a performance evaluation, the proposed method exhibits high imperceptibility and tolerance against attacks, such as smoothing, cropping, translation, and rotation. The experimental results further demonstrate that the proposed method is superior in terms of salient point detection time, distortion rate, true positive rate, peak signal to noise ratio, bit error rate, and root mean square error compared to the state-of-the-art methods.

Shear Thickening Fluid and Its Application in Impact Protection: A Review.

Shear thickening fluid (STF) is a dense colloidal suspension of nanoparticles in a carrier fluid in which the viscosity increases dramatically with a rise in shear rate. Due to the excellent energy absorption and energy dissipation of STF, there is a desire to employ STFs in a variety of impact applications. In this study, a comprehensive review on STFs' applications is presented. First, several common shear thickening mechanisms are discussed in this paper. The applications of different STF impregnated fabric composites and the STF's contributions on improving the impact, ballistic and stab resistance performance have also been presented. Moreover, recent developments of STF's applications, including dampers and shock absorbers, are included in this review. In addition, some novel applications (acoustic structure, STF-TENG and electrospun nonwoven mats) based on STF are summarized, to suggest the challenges of future research and propose some more deterministic research directions, e.g., potential trends for applications of STF.

Nanoengineered Design of inside-Heating Hot Nanoreactor Surrounded by Cool Environment for Selective Hydrogenations.

Catalysts with designable intelligent nanostructure may potentially drive the changes in chemical reaction techniques. Herein, a multi-function integrating nanocatalyst, Pt-containing magnetic yolk-shell carbonaceous structure, having catalysis function, microenvironment heating, thermal insulation, and elevated pressure into a whole is designed, which induces selective hydrogenation within heating-constrained nanoreactors surrounded by ambient environment. As a demonstration, carbonyl of α, ß-unsaturated aldehydes/ketones are selectively hydrogenated to unsaturated alcohols with a >98% selectivity at a nearly complete conversion under mild conditions of 40 °C and 3 bar instead of harsh requirements of 120 °C and 30 bar. It is creatively demonstrated that the locally increased temperature and endogenous pressure (estimated as ≈120 °C, 9.7 bar) in the nano-sized space greatly facilitate the reaction kinetics under an alternating magnetic field. The outward-diffused products to the "cool environment" remain thermodynamically stable, avoiding the over-hydrogenation that often occurs under constantly heated conditions of 120 °C. Regulation of the electronic state of Pt by sulfur doping of carbon allows selective chemical adsorption of the CO group and consequently leads to selective hydrogenation. It is expected that such a multi-function integrated catalyst provides an ideal platform for precisely operating a variety of organic liquid-phase transformations under mild reaction conditions.

Multi-functional identification of social-ecological landscape in ecologically fragile areas under the background of regional transformation development.

To realize the coordinated development of regional economy, society, and ecosystem is the ultimate goal of economic development and ecological protection in ecologically fragile areas. The multi-functional identification of socio-ecological landscape in ecologically fragile areas is helpful to alleviate the practical contradictions and conflicts faced by the region, and to better realize the optimal allocation of regional resources and the formulation of rational regional land management and planning strategies. This study takes Mizhi County, the most prominent and representative area of the ecologically fragile areas of the Loess Plateau, as the research area. The three dimensions of the ecosystem, social system, and production system were used to construct a landscape multi-functionality identification and evaluation model. A comprehensive identification method for the landscape multi-functionality evaluation, dominant-secondary function recognition, and dominant-secondary obstacle function recognition were carried out to realize the recognition of the landscape multi-functionality. The results were the following: (1) The identification of the landscape multi-functionality through multi-objective optimal decision making with limited scheme for the determination of regional functions should follow the optimal decision rule. (2) The multi-function comprehensive identification method for the landscape could be used to scientifically identify the landscape multi-functions in the ecologically fragile areas. (3) The multi-functions of the social-ecological landscape were obvious. An area with an extreme value was prominent and presented a state of aggregation. The spatial difference between the dominant and secondary functions (obstacle functions) was strong, and the degree of interdependence between functions was high. This study provides a scientific reference for landscape optimization management in the ecologically fragile areas of the Loess Plateau.

Improvement in the multiple sclerosis functional composite score by multi-function swing suspension training program.

BACKGROUND: Physical activity has been considered as a promising approach to slow down the disease process in Multiple Sclerosis (MS) patients. The functional impairments of MS have been studied in detail, while evidence of the efficacy of exercise training interventions on the Multiple Sclerosis functional composite (MSFC) score in these patients is limited. The aim of this study was to investigate the improvement in MSFC score by multi-function swing suspension training program (MFSST) in the women with MS. METHODS: The patients were divided into two groups as the intervention and control groups. A total of 47 MS patients completed the MSFC components at baseline and after the intervention: the timed 25-foot walk (T25FW); the 9-hole peg test (9HPT); and paced auditory serial addition test (PASAT). Z scores were created for each test based on control means. RESULTS: The MSFC score, 9HPT, T25FW, and PASAT showed a significant increment in comparison with the baseline levels in the four, six, and eight weeks following the first exercise session (all p<0.05). These differences in the control group were not significant. The improvement in the MSFC score and the component Z-scores in the intervention groups was found from the fourth week onwards. CONCLUSIONS: The study findings highlight that the progression of MS disability can be partially compensated by physical exercise. Overall, these results indicate that MFSST can be used as an effective treatment method in patients suffering from MS. Longer (years) exercise studies with larger samples of MS patients, with different MS subtypes, and of different sex, are needed to evaluate the effect of other types of exercise interventions on the MSFC score in MS patients with different disabilities.