Search Results (204)

Picornaviruses pose a significant threat to both human and animal health, causing many diseases in humans and swine. Porcine sapelovirus (PSV) is a globally reported enteric picornavirus commonly associated with subclinical or mild enteric infections in swine populations. Critically, unlike other neurotropic picornaviruses such as Enterovirus A71, no PSV strain has been reported to breach the blood–brain barrier (BBB). Since 2023, outbreaks of diarrhea with concurrent neurological signs like ataxia and lameness have been observed in weaned piglets across China, in particular, on a farm in Zhejiang province in 2025 with 100% morbidity and 20% mortality among the cases. Routine diagnostics ruled out common swine pathogens, but qPCR was positive for PSV. We successfully isolated three PSV strains (ZJ, FJ, SD) from affected piglets. Genetic analysis revealed that the PSV-ZJ is a novel recombinant between strains YC2011/2012 (China, 2011) and XTND/2019 (Vietnam, 2018). Pathogenicity assessment confirmed that the recombinant PSV-ZJ is highly pathogenic, causing severe diarrhea, growth retardation, and significant viral shedding via the respiratory and digestive tracts. qPCR and histopathology confirmed viral presence in intestinal and brain tissues, indicating that PSV-ZJ can cross the blood–brain barrier. This study presents the first quantitative viral load and histopathological data for a highly pathogenic recombinant PSV strain in China and emphasizes the critical role of recombination in driving viral virulence evolution, necessitating enhanced surveillance and the development of targeted preventive strategies. Full article

Conventional photodetectors and image sensors deliver high-fidelity digital outputs but face a growing data-movement bottleneck: the energy and latency cost of transferring raw pixel streams to off-chip memory and processors increasingly dominates over both sensing and computation in modern machine-vision pipelines. An emerging response is the neuromorphic photodetector, a class of optoelectronic device that converts incident light into an electrical signal while simultaneously storing, modulating, and pre-processing that signal in a manner inspired by biological synapses and retinas. Over the past decade, demonstrations have spanned at least eight material platforms—organic semiconductors, organic–carbon-nanotube hybrids, perovskite and perovskite hybrids, metal oxides (including ultra-wide-bandgap and printable variants), wide-bandgap III-nitrides and 4H-SiC, two-dimensional materials, photo-memristors, and silicon CMOS in-sensor compute architectures—and have been realised through four distinct architectural families: phototransistor synapses, photo-memristors, heterojunction in-sensor compute, and linear photovoltaic neural networks. Here, we provide a quantitative cross-platform benchmark across forty in-scope articles, identify persistent photoconductivity as a near-universal device-physical substrate underlying synaptic functionality, characterise the responsivity–speed–energy trade-off structure observed across platforms, and present a critical assessment of energy-reporting practice in the field. We further identify three best-practice exemplars from three independent material platforms that converge on operating biases of 0.01–0.1 V and energies of 0.07–0.8 fJ per event, and we propose a unified reporting framework to enable meaningful cross-platform benchmarking of next-generation neuromorphic photodetectors. Full article

The increasing computational demands of deep neural network inference drive the need for energy-efficient hardware accelerators that minimize data movement between memory and processing units. Compute-in-memory (CIM) architectures address this bottleneck by embedding computation directly within memory arrays, reducing the overhead of repeated weight transfers in conventional von Neumann systems. Conventional 6T SRAM-based digital CIM bitcells incur significant transistor overhead as arrays scale, motivating exploration of reduced-transistor bitcell alternatives. We propose a compact 4T+2T SRAM-based digital CIM bitcell implemented in 45 nm CMOS, combining a 4T SRAM storage cell with a 2T multiplier for bitwise multiply-and-accumulate (MAC) operations. The proposed design reduces transistor count from 8 to 6 compared to the 6T+2T reference, lowering parasitic capacitance and hardware overhead without compromising memory or computation functionality. Transient simulations confirm correct write, read, and CIM operations. The bitcell achieves a read delay of 26.91 ps, read power of 1.351 nW, and read energy of 0.005403 fJ—reductions of 98.7%, 86.5%, and 73.1% over the 6T+2T reference, respectively. For CIM operation, bitwise multiplication power decreases from 1.772 µW to 0.8014 µW and energy from 10.63 fJ to 4.808 fJ, representing a 54.8% reduction in both metrics, with only a marginal CIM delay increase of 3.13 ps. Monte Carlo analysis across 100 samples confirms robust write behavior under process variation, with write delay ranging from 55.02 to 69.59 ps and write energy from 0.05870 to 0.06557 fJ. Static noise margin analysis yields an SNM of 83.7 mV under nominal conditions, confirming stable data retention. These results demonstrate that the proposed 4T+2T bitcell offers strong transistor efficiency, energy savings, and computational correctness, making it a promising candidate for area-efficient digital CIM architectures targeting edge AI inference. Full article

Background: Robot-assisted total knee arthroplasty (raTKA) improves the precision of component positioning and coronal alignment restoration, but it remains uncertain whether that technical accuracy modifies the clinical effect of alignment strategy in different varus phenotypes. The present report evaluates alignment strategy and correction magnitude, explicitly as a post hoc exploratory deformity-subgroup analysis within a randomized raTKA cohort. Methods: This single-center, open-label, randomized study enrolled 296 patients with varus knee osteoarthritis who underwent raTKA between 2023 and 2025 using either mechanical alignment (MA; n = 149) or limited/restricted kinematic alignment (lim.-KA; n = 147). The parent randomized comparison was conducted at the whole-cohort level; the deformity-based subgroups reported here were defined after the whole-cohort analysis and are therefore post hoc and exploratory. Patients were stratified according to preoperative varus severity into a mild-deformity subgroup (≤10°; lim.-KA-I n = 99, MA-I n = 102) and a moderate-deformity subgroup (11–20°; lim.-KA-II n = 48, MA-II n = 47). Outcomes included hip–knee–ankle angle (HKA), correction angle, range of motion (ROM), visual analog scale (VAS; 0–10 points), Knee Society Score (KSS; knee and function), Oxford Knee Score (OKS), and Forgotten Joint Score-12 (FJS-12) over 12 months. Estimates are presented with 95% confidence intervals where applicable. Because multiple post hoc subgroup comparisons were performed without formal multiplicity adjustment, p-values are interpreted descriptively and in conjunction with effect sizes and 95% confidence intervals. Results: The primary whole-cohort randomized comparison did not demonstrate an overall between-group advantage of either alignment strategy. The post hoc moderate-varus subgroup showed favorable unadjusted 12-month differences for lim.-KA versus MA in KSS-knee (+6.8 points; 95% CI 5.3 to 8.3; nominal p < 0.001), KSS-function (+4.0 points; 95% CI 2.7 to 5.2; nominal p < 0.001), OKS (+6.4 points; 95% CI 4.5 to 8.3; nominal p < 0.001), and FJS-12 (+11.3 points; 95% CI 9.4 to 13.1; nominal p < 0.001). In contrast, ROM favored MA rather than lim.-KA in the moderate-varus subgroup (−11.8°; 95% CI −16.6 to −7.0; nominal p < 0.001), indicating greater 12-month ROM after MA, and VAS pain, reported on a 0–10 scale, did not support a lim.-KA pain advantage (+0.26 points; 95% CI 0.05 to 0.48; higher scores indicate worse pain; nominal p = 0.018). Exploratory, unadjusted, post hoc 12-month alignment-by-deformity interaction terms were significant for ROM, KSS-knee, KSS-function, OKS, and FJS-12, but not for VAS. Because multiple post hoc comparisons were performed without formal multiplicity adjustment, the results are interpreted descriptively, along with effect sizes and confidence intervals. Conclusions: The primary randomized comparison did not demonstrate a clinical advantage of lim.-KA over MA in the whole cohort. In post hoc exploratory analyses, mild varus deformity was associated with outcomes broadly similar to those after both alignment strategies. In the moderate-varus subgroup, patient-level analyses suggested a possible phenotype-dependent signal for KSS-knee, KSS-function, OKS, and FJS-12 after lim.-KA, whereas ROM favored MA, and VAS pain did not support a lim.-KA pain advantage. These subgroup findings should be interpreted separately from the primary randomized result, considered hypothesis-generating only, and not used in isolation to change clinical practice without prospective confirmation. Full article

Air-dried mutton is a traditional, culturally significant meat product, yet its spontaneous fermentation is inherently constrained by unstable microbial communities, leading to batch-to-batch quality inconsistency and potential food safety hazards. Elucidating whether composite starter cultures can modulate the microbiota and enhance product quality is therefore critical for standardized industrial processing. Herein, we investigated the effects of a defined starter culture (composed of Lactiplantibacillus plantarum and Pediococcus pentosaceus in a 2:1 ratio, with a total inoculum of 10⁸ CFU/g) on the quality and flavor of air-dried mutton, comparing inoculated samples (FJ) with naturally fermented controls (ZR). The fermentation was conducted at 30 °C and 95% relative humidity (RH) for 24 h, followed by air-drying at 4 °C for 21 d, with all assays performed in three biological and three technical replicates. Starter inoculation significantly reduced the pH, water activity (Aw), total volatile basic nitrogen (TVB-N), and thiobarbituric acid reactive substances (TBARS) values while improving sensory acceptability (p < 0.05). Amplicon sequencing analysis revealed a lactic acid bacteria (LAB)-dominated microbiota in FJ samples, with elevated abundances of Pediococcus and Lactobacillus and reduced abundance of Pseudomonas. The inoculated group also exhibited altered eicosapentaenoic acid content and a more diverse volatile flavor profile, with eight key aroma compounds positively correlating with LAB abundance. These findings demonstrate that composite starter inoculation improves physicochemical quality, stabilizes the microbial community, and enhances flavor in air-dried mutton. Further mechanistic validation and scale-up trials are required to confirm industrial applicability. Full article

Fusarium wilt caused by Fusarium oxysporum f. sp. cucumerinum Owen (FOC) is a major disease affecting cucumber production. Developing environmentally friendly prevention and control strategies is essential for managing cucumber Fusarium wilt (CFW). Bacillus velezensis is a beneficial microorganism with biocontrol potential against plant diseases. To investigate the biocontrol efficacy and induced disease resistance mechanism of B. velezensis FJ17-4 against CFW, the biocontrol effect of FJ17-4 on CFW was determined through indoor pot cultivation experiments, and the transcriptome of cucumber root samples treated with FJ17-4 was sequenced and analyzed by RNA-Seq technology. The results showed that CFW incidence was significantly reduced after FJ17-4 treatment, with 68.75% control efficacy, higher than that of Kasugamycin. A total of 1041 differentially expressed genes (DEGs) were induced, including 477 upregulated and 564 downregulated genes. DEGs associated with plant–pathogen interaction pathways (such as carbon metabolism, phenylpropanoid biosynthesis and amino acid biosynthesis), calcium (Ca²⁺) signaling pathway, and plant hormone signaling pathways [such as salicylic acid (SA), ethylene (ET), and jasmonic acid (JA)] were induced. These responses activated the disease resistance system of cucumber against CFW. Quantitative RT-PCR validation of 10 annotated DEGs confirmed consistent expression trends with the transcriptomic data. The results indicate that FJ17-4-induced disease resistance involves multiple genes and coordinated regulation of metabolisms, with hormone-mediated defense signaling pathways playing important roles. The transcriptome sequencing data provides a scientific basis for exploring the induced disease resistance mechanism of FJ17-4 and developing environmentally friendly biocontrol strategies. Full article

Ganoderma lucidum spore powder is widely recognized as a high-grade Ganoderma product and is extensively consumed as a functional food and dietary supplement in China. To compare quality differences, nine batches of sporoderm-broken G. lucidum spore powders (DX, SD, FJ, JL, XZ, LQ, AH, LN, and GZ) were collected from representative producing regions across China. Their physicochemical properties, antioxidant activities, and enzyme inhibition capacities were analyzed in this work. The results revealed varying degrees of differences in color, chemical composition, antioxidant activity, and metabolic enzyme inhibitory effects among the samples. Notably, sample GZ contained the highest levels of total sugar, polysaccharides, lipids, protein, total phenolics, and total triterpenoids; sample XZ had the highest ergosterol content; and sample LN exhibited the highest levels of reducing sugar and nucleosides. GZ demonstrated the strongest radical scavenging activity, ferric-reducing antioxidant power (FRAP), cupric ion-reducing capacity, and inhibitory effects against α-glucosidase, α-amylase, lipase, acetylcholinesterase, and xanthine oxidase. Sample AH showed the greatest Fe²⁺-chelating capacity. Principal component analysis indicated that GZ, AH, and LN exhibited stronger antioxidant and metabolic enzyme inhibition activities, whereas LQ and FJ showed lower activities. These findings confirm significant quality differences among G. lucidum spore powders sourced from different geographical regions. Full article

Dictyophora rubrovolvata is highly regarded and increasingly cultivated in China for its nutritional value, unique taste, and medicinal properties. However, the chemical composition of fresh D. rubrovolvata is unclear. This study applied a comprehensive metabolomic analysis of D. rubrovolvata to characterize and compare the metabolite profiles and identify significantly differential metabolites from three geographical origins in China. Ultra-high-performance liquid chromatography-quadrupole time-of-flight mass spectrometry (UHPLC-Q-TOF-MS/MS) combined with chemometrics was employed to conduct untargeted metabolomics analysis of fresh D. rubrovolvata samples collected from the Sichuan, Fujian, and Guizhou provinces in China. Among the 383 identified metabolites, lipids and organic acids were the predominant classes. There were notable variations in metabolite composition across the three geographical areas. The Sichuan (SC) group showed a high concentration of phospholipids, the Guizhou (GZ) group was characterized by specific oxidized lipids and bioactive benzenoids, and the Fujian (FJ) group showed elevated levels of the antioxidant ergothioneine. We identified 17 unique metabolites, including tryptophol, 12-oxophytodienoic acid, and various fatty acid derivatives, which may act as significantly differential metabolites for different origins. Analysis of KEGG enrichment indicated that the main metabolic pathways involved were tryptophan metabolism, glycerophospholipid metabolism, and phenylpropanoid biosynthesis. Full article

Edge intelligence is often limited by the computation–energy trade-off in resource-constrained devices. Boltzmann machines (BMs) provide strong unsupervised learning capability, yet their reliance on Gibbs sampling makes digital implementations costly in both computation and energy. In this paper, we present a voltage-controlled magnetic anisotropy magnetic tunnel junction (VCMA-MTJ)-based MRAM system that performs in-memory stochastic sampling for state generation and updates in restricted/deep Boltzmann machines (RBMs/DBMs). By exploiting the intrinsic stochastic switching of VCMA-MTJs, the proposed system achieves probabilistic sampling with an energy as low as ∼10 fJ per sample. Implemented on a microcontroller-based edge platform, it enables real-time multi-sensor anomaly detection with an F1-score of 0.9854 and stable operation. The proposed hardware–algorithm co-design achieves in situ stochastic computing and storage within a single MRAM cell, providing an ultra-low-power substrate for probabilistic inference at the edge. Full article

In light of the global issue of “Carbon Neutrality”, a high proportion of renewable energy integrated into modern power systems has become the key to energy strategic transformation, which has escalated the demand for high-gain, high-power converters for DC energy conversion. In this paper, a non-isolated double-layer multi-port parallel-connected high-gain DC–DC conversion system has been proposed. The system consists of two energy layers: the upper layer is designed as a non-isolated high-gain three-port DC conversion topology, which includes two energy inputs and one output port, and the bottom layer is a three-port constant current output module. The output ports of these layers are connected in parallel, while the input ports are independent. Thus, both high output voltage gain and power capacity were fulfilled for the renewable power application condition. The system is capable of operating in both input-parallel–output-parallel (IPOP) and multi-input–independent-output-parallel (MIIOP) modes, thereby enabling multi-port high-gain DC power conversion. Detailed analysis of the operation strategies under a switching cycle for both energy layers is presented. A small signal was introduced to establish the mathematical model of both energy topologies. In order to simultaneously regulate the output voltage and achieve dynamic current sharing between the layers, an adaptive current-sharing control strategy was developed based on the established system models. The proposed control strategy can control the output voltage through the upper-layer topology and dynamically allocates output current between the layers based on the output power level, which will effectively enhance the system’s power rating. The simulation mode was built in the PSIM environment, open-loop simulations were carried out for obtaining system characteristics, and closed-loop simulations were conducted for control efficiency validation. Finally, a 2000-W experimental prototype was developed based on the digital control center dsPIC33FJ64GS606. Open-loop and closed-loop experiments were carried out for system performance evaluation. Both simulation and experimental results successfully evaluated the power transfer performance and control system performance of the proposed system, and a peak efficiency of 95.7% under 10 times voltage gain was achieved. Full article

This study investigated the failure mechanism and load-bearing capacity of ultra-high-performance concrete (UHPC) columns confined with high-strength spiral stirrups under axial compression. Based on tests of 75 specimens, a structural stability analysis method was employed to convert multi-point strain measurements into the normalized generalized strain energy density (E_j,norm). The mutation point (Point U) on the E_j,norm-F_j curve, identified via the Mann–Kendall criterion, was proposed as a novel indicator for structural instability and the practical failure load. Parametric analysis showed that increasing the UHPC compressive strength from 100 MPa to 180 MPa raised the failure load by 63%, while increasing the stirrup volumetric ratio from 0.9% to 2.0% yields a further 7.5% increase in the failure load. In contrast, the yield strength of stirrups exerts a negligible influence on the failure load, as the stirrups do not reach their yield strength at the failure load of the concrete columns. A new predictive model for the failure load was developed, which exhibited excellent agreement with test results (mean ratio = 1.000, standard deviation = 0.046, errors within ±13%). The proposed method provided a reliable and stable approach for evaluating the failure load-bearing capacity of confined UHPC columns. The validated predictive model enabled engineers to determine the failure load of confined UHPC columns through simple calculation rather than expensive experimental testing, reducing project costs by 5–10% through optimized material selection and accelerating design timelines by weeks, thereby making UHPC columns more economically competitive for mainstream infrastructure applications. Full article

Background/Objectives: This study investigates a surgical concept that restores constitutional bony alignment within predefined safety boundaries in primary total knee arthroplasty (TKA) using modern 3D navigation. The technique combines a standard knee implant with advanced navigation technology to achieve patient-specific alignment and recreate native joint mechanics. One-year outcome was evaluated to assess first clinical results. Methods: In this retrospective study, a consecutive series of 185 TKAs (171 patients) was analyzed. All patients underwent patient-specific restoration of constitutional alignment within predefined safety boundaries using a 3D navigation system and a standard knee arthroplasty implant. The clinical outcomes were assessed using the 2011 Knee Society Score (KSS), the Forgotten Joint Score (FJS-12), the UCLA Activity Scale, and a five-step Likert scale to evaluate satisfaction. Results: In a total of 87.6% of cases, the patients reported being either satisfied or very satisfied with their TKA. No patients reported strong dissatisfaction. The KSS demonstrated significant improvements in all subcategories (all p < 0.001). The FJS-12 increased significantly from a preoperative average of 32.5 points to 79.3 points postoperatively (p < 0.001). The mean UCLA activity score rose from 4.9 preoperatively to 6.6 postoperatively (p < 0.001). In 97.7% and 90.2% of cases, the femoral mechanical angle (FMA) and tibial mechanical angle (TMA) bone cuts were within ± 1° of the planned angles. A strong correlation was observed between the planned and verified bone cuts for the FMA (ρ = 0.939) and the TMA (ρ = 0.875). Conclusions: Patient-specific restoration of constitutional alignment within predefined safety boundaries in primary TKA using modern 3D navigation is a promising strategy for personalized joint reconstruction using a standard knee arthroplasty implant. It combines precision and reproducibility with high patient satisfaction by respecting each patient’s constitutional alignment. Full article

Phascolosoma esculenta is an economic species endemic in China and a highly prized delicacy along the country’s southeastern coast. This study focused on five P. esculenta populations and investigated their genetic diversity, population structure, and historical population dynamics. These populations were sampled from five locations, namely Beihai (BH) and Fangchenggang (FCG), in Guangxi; Putian, in Fujian (FJ); Danzhou, in Hainan (HN); and Zhanjiang (ZJ), in Guangdong. Genomic data were obtained through restriction site-associated DNA sequencing (RAD-seq) of 100 individuals. After quality filtering, a panel of 158,264 high-quality single nucleotide polymorphism (SNP) markers was established for subsequent analysis. The results revealed that the observed heterozygosity (Ho = 0.1872–0.2065) was lower than the expected heterozygosity (He = 0.2304–0.2382), with inbreeding coefficients (Fis) ranging from 0.1114 to 0.1592, indicating heterozygote deficiency and moderate inbreeding. Genetic diversity was moderate across all populations, as reflected in the values I (0.5220–0.5530), π (0.2415–0.2478), and PIC (0.1914–0.1982). Low genetic differentiation was observed among populations (Fst: 0.0339–0.0509) accompanied by high gene flow (Nm = 4.6658–7.1192), suggesting ongoing genetic exchange between populations. Analysis of Molecular Variance (AMOVA) indicated that most genetic variation occurred within populations. Genetic distance and genetic similarity ranged from 0.0345 to 0.0522 and 0.9491 to 0.9661, respectively, with no significant isolation by distance (Mantel test, R = 0.0793, p = 0.4307). Analysis of the species’ historical population dynamics suggests that P. esculenta may have experienced a substantial population contraction beginning approximately 300 years ago. Overall, the five populations exhibit moderate genetic diversity, though signs of inbreeding and recent population decline may indicate early stages of germplasm degradation. These findings provide important insights for the conservation and sustainable aquaculture of this species. Full article

Elsinoe fawcettii is a devastating citrus pathogen worldwide, yet high-quality genomic resources are lacking, limiting insights into its adaptive mechanisms. Seventeen strains collected from 13 host species across 5 Chinese provinces were confirmed as E. fawcettii by multi-loci (ITS, rpb2, tef1-α) phylogenetic and morphological analyses. A near-telomere-to-telomere (near-T2T) genome for representative strain FJ-Y-3 was constructed using integrated PacBio and Hi-C sequencing. The 24.40 Mb assembly was organized into 11 chromosomes with exceptional completeness (BUSCO: 97.1%) and continuity (scaffold N50: 2.18 Mb). Pan-genome analysis revealed a closed structure, with core genes representing 77.19% of the total, suggesting evolutionary adaptation through fine-regulation of conserved elements rather than extensive gene content variation. Accessory genes were significantly enriched in terpenoid/polyketide metabolism, cell surface remodeling, and xenobiotic degradation, underscoring metabolic plasticity. Whole-genome resequencing showed single-nucleotide polymorphisms as the dominant variant, with ~60% residing in regulatory regions, implicating cis-regulation as a key adaptive mechanism. This work provides a high-quality genome and multi-omics framework for E. fawcettii, establishing a crucial molecular foundation for understanding pathogen adaptation and developing sustainable disease management strategies. Full article

Background: Total knee arthroplasty (TKA) is an effective procedure for symptomatic end-stage knee arthritis with good clinical and survivorship outcomes. However, up to 20% of patients report dissatisfaction following TKA. Recent studies have suggested that this may be at least partially due to suboptimal limb alignment or ligament imbalance. This study compared clinical outcomes at 1 year post-operatively (i.e., the 2011 Knee Society Score [KSS] and Forgotten Joint Score [FJS]) between two robotic-assisted personalised TKA techniques: functional alignment (FA) and an original technique combining restricted kinematic alignment (rKA) with a load sensor to achieve reliable ligament balancing (via bone re-cutting with a robotic arm). Methods: This single-centre, prospective, comparative study was performed at a robotic-assisted arthroplasty centre. The study population consisted of an FA group (43 patients) and rKA/sensor group (47 patients). Clinical outcomes were measured at 1 month post-operatively (visual analogue scale [VAS] pain score, flexion, range of motion [ROM], use of a mobility aid and stiffness) and at 1 year (2011 KSS, FJS, VAS, flexion and ROM). Results: There were no statistical significant differences in 2011 KSS or FJS at 1 year post-operatively between the two groups. Multivariate analysis showed no independent association of either technique with the 1-year follow-up KSS Objective Knee Indicators score (adjusted beta coefficient (aβ) = −2.371 [−7.380; 2.638], p = 0.357), KSS Patient Satisfaction score (aβ = −2.522 [−6.887; 1.842], p = 0.262), KSS Patient Expectations score (aβ = 0.629 [−0.928; 2.186], p = 0.431), KSS Functional Activities score (aβ = −3.399 [−10.881; 4.082], p = 0.377) or 1-year follow-up FJS (aβ = −5.168 [−19.887; 9.550], p = 0.494). Conclusions: There were no significant differences between the FA and rKA/load sensor groups in the 2011 KSS or FJS at 1 year post-operatively. To our knowledge, this is the first study to compare clinical outcomes between robotic-assisted FA TKA and rKA TKA. Clinical outcomes in the rKA/sensor group were similar to previous studies using rKA without robotic assistance or a load sensor. This was also the first report of the clinical outcomes of FA. The results need to be validated by larger scale studies to avoid potential type 2 errors. Full article