The Centers for Medicare & Medicaid Services (CMS) uses the Star quality program to evaluate Medicare Advantage (MA; Part C) care quality. Since the 21st Century Cures Act, End-stage renal disease (ESRD) enrollment within Medicare has shifted from less than 30% in 2021 with Medicare Advantage to more than 50% in 2024. Given this influx and growing chronic kidney disease (CKD) prevalence, evaluating how Stars measures shape kidney care has significant population health implications. The American Society of Nephrology (ASN) Quality Committee convened a working group to assess the 2026 Medicare Part C & D Stars quality measures. Measures were reviewed using a modified American College of Physicians Measure Review Criteria, which evaluates measure importance, appropriateness, evidence base, specifications, and feasibility, and Stars measures evaluating non-clinical outcomes were excluded (e.g., customer service). The ASN committee evaluated 25 (of 45) Star quality measures that were directly related to clinical outcomes. The committee assessment identified 13 high-validity Star measures that monitored care related to diabetes, hypertension, and care transitions, as well as 12 medium-validity measures that evaluated preventive care and other chronic care areas. The appropriateness and clinical evidence base of Star measures were generally strong but weaker in patients with ESRD. The committee noted concerns with 10 Stars measures that may exclude patients with ESRD. Only one measure captured guideline-directed kidney care (albuminuria screening in patients with diabetes). No Stars measures captured other guideline-directed recommendations, such as CKD screening and risk stratification, nephrology referral, use of kidney pharmacotherapies, CKD education, or pre-emptive kidney transplantation referral. The Medicare 2026 Part C & D Stars measures represent a missed opportunity to align care measures and guideline-directed kidney care to improve outcomes, reduce costs, and advance high-value care for the millions of Americans living with kidney disease.
Recent advances in molecular phylogenies have revolutionised our understanding of brittle star systematics and evolutionary history. Although genetic data have provided new grounds for age estimates of phylogenetic divergences, direct fossil evidence is currently the only robust means to determine the minimum age of clades. The present study discusses an exceptional opportunity to robustly pinpoint the minimum age of an extant genus of brittle star. The presumed ophiolepidid brittle star species Ophiolepis? falsa Jagt & Kutscher, in Jagt, 2000, from lower upper Campanian (Upper Cretaceous, c. 79 Ma) deposits in north-east Belgium, is here recorded from coeval strata in the Münsterland Basin (northern Germany) and transferred to the previously monospecific extant hemieuryalid genus Actinozonella Stöhr, 2011. An unusually well-preserved specimen, completely free from mineralised matrix, allows both dorsal and ventral sides of the disc and short arm stumps to be examined. In this way, characters not visible in the holotype of Ophiolepis? falsa could be analysed; these revealed its taxonomic affinity with Actinozonella, dating that genus to at least 79 Ma. The close morphological similarity between Actinozonella and Ophiomisidium Koehler, 1914, and to some species currently assigned to Ophiomastus Lyman, 1878, is discussed.
Marine ectotherms are vulnerable to physiological challenges wrought by climate change-driven ocean warming (OW). It is important to understand the impacts of OW on fundamental processes in keystone species such as the corallivorous crown-of-thorns sea star (CoTS; Acanthaster cf. solaris), which poses a key threat to coral reefs. The planktonic life phase of CoTS may benefit from OW through faster development, but increasing temperature can be metabolically costly. We tested whether CoTS larvae can maintain a positive energy budget under warming to offset increased energetic demands within their thermal tolerance range. We reared fed and unfed CoTS larvae at four temperature treatments (control: 26°C; warm: 28°C, 30°C, 32°C) based on current and projected OW and measured metabolic rate (oxygen consumption, V ˙ O 2 ) across development to the late larval stage. As predicted, warming increased metabolic rates, with oxygen consumption higher at 30°C and 32°C, than at the control 26°C. High mortality occurred at 32°C in late bipinnaria (14 days), likely due to cumulative heat stress over time. In the 28°C and 30°C treatments oxygen consumption of bipinnaria (14-21 days) and brachiolaria larvae decreased, potentially due to metabolic suppression. The resilience of unfed larvae (to 21 days) and the similar metabolic rates of fed and unfed larvae to Day 14 indicate that the energetic requirements for larval maintenance and growth were provided by maternal (egg) nutrients, a resilience trait of CoTS. Our results indicate that under increased temperature, CoTS larvae can maintain positive energy budgets. While the presence of food is not critical for development to late bipinnaria, reduced growth in warm treatments in the absence of food may have fitness consequences. Our results highlight the need to understand the energy budget across the entire life cycle of CoTS.
Healthcare-associated infections (HAIs) driven by multi-drug-resistant biofilms remain a critical challenge in clinical settings. The emergence of antibiotic-resistant strains has intensified the need for innovative antimicrobial strategies, particularly for effective surface treatments in clinical environments. This study presents a novel bifunctional nanoplatform designed to eradicate Staphylococcus aureus biofilms through a dual-action mechanism. We synthesized a custom star-shaped polycaprolactone (PCL-COOH) architecture to serve as a robust nanocarrier, enabling high quercetin loading (PCL-Q NPs) and effective surface conjugation of α-amylase (PCL-E NPs). The nanoparticles demonstrated excellent physical stability over a 120-day storage period and a sustained quercetin release profile up to 90 days. Unlike standard studies using laboratory strains, our platform was rigorously validated against four distinct clinical isolates of S. aureus collected from hospital surfaces, accounting for the natural heterogeneity of environmental biofilms. To ensure objective evaluation, we developed a high-resolution AFM-based quantification method utilizing systematic binarization and topographical analysis, moving beyond traditional bulk assays. Results showed enhanced combined activity for most isolates: the enzymatic component disrupts the extracellular polymeric substance (EPS) matrix, while the released quercetin neutralizes the sequestered bacterial cells, thus supporting the potential of the proposed approach as a dual-action strategy for healthcare-surface biofilm removal.
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The topological architecture of polymer carriers is a critical determinant of their drug loading capacity and release characteristics. This study employed dissipative particle dynamics (DPD) simulations to systematically investigate the drug distribution and pH-responsive release behavior of three ABC-type polymer carriers with identical block compositions (where A is hydrophobic, B is pH-responsive, and C is hydrophilic) but distinct topologies: miktoarm star polymer, linear triblock copolymer, and star block copolymer. The simulation results revealed the fundamental differences in the drug distribution mechanism induced by the topological architecture of polymers. The miktoarm star polymer enables a unique "core-shell dual loading" mode, where drug molecules (doxorubicin, DOX) are simultaneously encapsulated within both the hydrophobic core and the pH-responsive intermediate layer. In contrast, within the micelles of linear and block-star copolymers, drug molecules are predominantly confined to the intermediate layer. Despite both the linear and star block copolymer systems exhibiting a "shell-loading" mode for drug distribution, the star block copolymers demonstrate a faster drug release under acidic conditions, whereas the linear block copolymers exhibit gradual drug release. Through the analysis of the interfacial electrostatic environment, we observed that a balanced ion distribution facilitates drug release in the star block copolymer system, whereas a counterion barrier arising from an overcharging effect impedes release in the linear block copolymer system. This study highlights the topological design as a robust strategy for precisely modulating both the spatial distribution and release behavior of therapeutic agents within nanocarriers.
The trace anomaly of dense matter, Δ≡1/3-P/ϵ, defined through the ratio w≡P/ϵ of pressure P to energy density ϵ, quantifies deviations from conformal symmetry and provides a dimensionless measure of the stiffness of the equation of state (EOS) relevant for both neutron stars and heavy-ion collisions. While Δ(ϵ) has recently been inferred from neutron star observations, we report the first Bayesian extraction of the trace anomaly from collective flow observables in intermediate-energy heavy-ion collisions. By employing transport-model simulations that explicitly decouple the cold matter mean-field potential from thermal effects, we directly constrain the EOS of cold dense matter. Remarkably, the trace anomaly inferred from laboratory flow data agrees quantitatively, within 68% credible intervals, with independent astrophysical posterior bands. This nontrivial agreement demonstrates that heavy-ion collisions and neutron star observations probe the same macroscopic properties in a mutually consistent way, establishing the dense-matter trace anomaly as a composition-insensitive macroscopic bridge observable across widely different physical environments.
Objective
Stereotactic arrhythmia radioablation (STAR) offers a non-invasive treatment option for refractory tachycardia; however, precise dose delivery remains challenging due to the complexity of cardiorespiratory motion. This study evaluated the geometric and dosimetric performance of multiple deformable image registration (DIR) algorithms using ECG-gated four-dimensional CT (ECG-4DCT) in both virtual phantom and clinical datasets.
Approach
ECG-4DCT data from the XCAT phantom and 20 patients were analyzed across 10 cardiac phases using six DIR algorithms, with a seventh algorithm, TransMorph, additionally evaluated on the clinical datasets. Registration accuracy was assessed using the Dice similarity coefficient (DSC), Hausdorff distance (HD95), and average surface distance (ASD), while dosimetric accuracy was evaluated using dose-volume histogram metrics and γ analysis. Four-dimensional dynamic dose (4DDD) variability was quantified using the coefficient of variation (CV) and maximum pairwise absolute dose difference (MPADD).
Main results
Registration accuracy was lowest between the end-systolic and end-diastolic phases in both phantom and clinical datasets. In the phantom study, MIM achieved the highest γ passing rate (89.6% at 1%/1 mm) and the slightest deviation from the reference, with differences of -0.02 Gy in D95 and -0.2% in V25. In the clinical datasets, patients without metallic implants exhibited reduced geometric accuracy and increased 4DDD variability (mean CVs of 0.01 for V25 and 0.02 for D95; MPADDs up to 11.3% and 1.15 Gy). TransMorph achieved the highest geometric accuracy, with mean DSC values of 0.86 in patients without implants and 0.89 in those with implants; however, this improved geometry was accompanied by steeper deformation gradients and pronounced localized dose discrepancies.
Significance
Current DIR algorithms remain limited in capturing complex cardiac motion for STAR. Geometric accuracy alone is insufficient to ensure physiologically plausible deformation, underscoring the need for cardiac-specific, physiology-constrained DIR frameworks to enable robust and clinically reliable 4DDD evaluation.
Core-collapse supernovae (CC-SNe) represent the final evolutionary explosive phase of sufficiently massive stars. Their characterization consists in understanding the progenitor star's physical properties such as stellar mass, radius, and explosion energy, and is crucial in many fields like astrophysics, cosmology, and multi-messenger astronomy. However, current methods require significant human expertise and are computationally prohibitive, taking weeks to months per event, and cannot keep up with the increasing number of SNe observations, especially with the advent of large-scale transient surveys. Here, we present a machine learning framework that can infer the physical parameters of CC-SN events with sub-second computation on standard hardware, enabling the rapid and accurate characterization of thousands of CC-SNe. Our deep learning model, trained on synthetic light curves from astrophysical simulations, achieves errors below 5% for most physical parameters when tested on real observations. Using explainable artificial intelligence techniques, we identify which phases of SN evolution are most informative for determining progenitor properties, providing insights for optimizing observational strategies.
Double-expressor lymphoma (DEL), characterized by concurrent overexpression of MYC and BCL2 without gene rearrangements, represents 20%-30% of DLBCL and confers inferior outcomes with standard R-CHOP. However, no head-to-head trials comparing novel R-CHOP-based regimens specifically in DEL exist. We conducted a frequentist network meta-analysis to compare four modified R-CHOP regimens in treatment-naïve DEL patients. PubMed, EMBASE, Cochrane Library, and Web of Science were searched through December 2025. The efficacy analysis included four studies (CAVALLI, DEB, POLARIX, Randomised Evaluation of Molecular guided therapy for Diffuse Large B-cell lymphoma with Bortezomib (REMoDL-B); 1,016 DEL patients) evaluating Pola-R-CHP, Ven-R-CHOP, VR-CHOP, and CR-CHOP versus R-CHOP in a star-shaped network in which all interexperimental comparisons are purely indirect through the common R-CHOP comparator. For progression-free survival (PFS), Pola-R-CHP was the only regimen achieving statistical significance (HR = 0.65, 95% CI = 0.45-0.94; SUCRA = 76.1%), reducing progression risk by 35%. A supplementary Bayesian analysis confirmed this finding (posterior probability of HR < 1: 90.2%). No regimen significantly improved overall survival (OS). CR-CHOP showed the most favorable OS trend (HR = 0.77, 95% CI = 0.53-1.13; SUCRA = 69.8%). Safety analysis from intention-to-treat populations revealed that Ven-R-CHOP significantly increased grade 3-4 thrombocytopenia (OR = 17.24), neutropenia (OR = 3.42), and anemia (OR = 3.29), whereas Pola-R-CHP demonstrated a safety profile comparable to R-CHOP (any grade 3-4 AE: OR = 1.04). Sensitivity analyses excluding CAVALLI (historical control design), using alternative DEL definitions for REMoDL-B, and excluding REMoDL-B confirmed robustness. Pola-R-CHP may offer a favorable benefit-risk profile in DEL; however, this is based on indirect, subgroup-level evidence of moderate-to-low certainty, and prospective DEL-specific trials are needed for confirmation. The study protocol was registered on INPLASY (registration number: INPLASY202630036; DOI: 10.37766/inplasy2026.3.0036).
Our developed C2-symmetric SPINOL-derived phosphine (NUSIOC-Phos) was first applied in transition metal catalysis as one novel chiral monodentate ligand, enabling the palladium-catalyzed enantioselective arylvinylation of N-allyl-o-iodobenzamides with N-tosylhydrazones. This protocol employed readily accessible starting materials and exhibited broad substrate scope, affording chiral 3,4-dihydroisoquinolinones bearing all-carbon quaternary stereogenic centers in good yields with excellent enantioselectivities. Notably, the synthetic utility of this approach was demonstrated through late-stage functionalization of natural products, as well as versatile transformations of the formed C = C double bond.
A revision is provided for the Rhagoveliaauga subgroup, endemic to the higher mountain areas of New Guinea, and a segregate of the larger Rhagovelia novacaledonica group. This treatment covers 3 previously described species-R. auga D. Polhemus, R. crinita Lansbury, and R. thysanotos Lansbury-and also provides descriptions of 14 new species as follows: R. kaindi from the Owen Stanley Range of Papua New Guinea; R. fordi from the Saruwaged Range of Papua New Guinea; R. maai, R. gressitti, R. sinofi and R. nonduglana from the Eastern Highlands of Papua New Guinea; R. microcephala and R. altamontana from the Western Highlands of Papua New Guinea; R. bosavi from Mt. Bosavi, Papua New Guinea; R. cyclopica from the Cyclops Mountains of Indonesian New Guinea; R. bintang from the Star Mountains of Indonesian New Guinea; R. dani from the Baliem Valley of Indonesian New Guinea; and R. wapoga and R. ziwa from the Sudirman Range of Indonesian New Guinea. Photomicrographs of the dorsal habitus in both sexes, male genitalia, and other key morphogical characters are provided for all of the new species proposed, accompanied by photographs of representative habitats, distribution maps and a key to the species of the subgroup.
Amnestic mild cognitive impairment (aMCI) is often considered an early clinical stage of Alzheimer's disease (AD), but its subtle presentation leads to infrequent neurological evaluations. Early plasma biomarker screening during routine check-ups in community hospitals could enhance aMCI detection rates. Advances in proteomics, particularly mass spectrometry, have enabled the detection of low-abundance plasma proteins, opening new possibilities for aMCI biomarker identification. This study included 84 participants from the STAR cohort. We utilized deep plasma proteomics to detect low-abundance proteins, enriched with nanoparticle magnetic beads. An early diagnostic model for aMCI was developed through bioinformatics and machine learning, with performance compared to the Simoa assay. We identified 4268 low-abundance plasma proteins and constructed a 12-protein diagnostic panel (AUC = 0.992 in the training set, AUC = 0.933 in the testing set), outperforming the Simoa assay (accuracy: 93.9% vs 24.4%). In conclusion, the 12-protein panel provides a cost-effective method for early aMCI detection, potentially improving screening efficacy.
Alpha-gal syndrome (AGS) is a delayed allergic reaction to red meat linked to bites of various species of ticks around the world, with the common culprits in North America identified as the Ixodes and Lone Star ticks. Most cases are asymptomatic, but some may result in mild allergic reactions or could progress to severe anaphylaxis. This report presents the case of a 64-year-old male with a history of coronary artery disease who presented with chest pain. During his hospitalization, he experienced two episodes of ventricular fibrillation (VF) with successful resuscitation. Following discharge, he continued to experience episodic palpitations, abdominal pain, nausea, vomiting, and diarrhea. An immunologist later diagnosed him with AGS and introduced the possible association of the VF events with a severe hyperacute reaction to intravenous heparin exposure, either in conjunction with or independent of the STEMI the patient was experiencing. His chronic longitudinal symptoms resolved entirely with dietary restrictions, specifically avoiding beef and porcine meat derivative products. This report highlights the importance of considering AGS in patients with unexplained allergic or periprocedural reactions following exposure to mammalian-derived products such as heparin.
The Eastern Spotted Dove (Spilopelia chinensis) is a widespread human-commensal bird, frequently involved in wildlife law enforcement cases. Following such cases, confiscated individuals are often released back into the wild, yet the potential genetic impacts of these releases remain unclear due to limited understanding of the species' population genetic structure in China. This study aimed to assess the genetic diversity and population structure of Eastern Spotted Doves in Jiangsu Province to provide a scientific basis for the management of confiscated individuals. This study analyzed the genetic diversity and structure of 139 individuals from 13 sampling sites across five avian geographical regions in Jiangsu Province, China, using mitochondrial cytochrome b (Cytb) and Displacement loop (D-loop) sequences, and explored the impact of urbanization on genetic differentiation. A total of 49 haplotypes were detected. The samples exhibited high haplotype diversity (H d  = 0.896) but low nucleotide diversity (pi = 0.00216). The maximum likelihood phylogenetic tree showed that no geographical clustering, and the haplotype network displayed a star-shaped topology with core haplotypes shared across all regions. AMOVA revealed that genetic differentiation among groups was negligible and non-significant, regardless of grouping by geography or urbanization level. Pairwise F st values were close to zero and non-significant, while gene flow estimates (N m ) exceeded 28 in all comparisons. These findings indicate that the Eastern Spotted Doves in Jiangsu Province lack significant population genetic structure, with strong gene flow maintained across regions. The species' high adaptability to urban environments and dispersal capacity likely sustain genetic connectivity. From a mitochondrial genetic perspective, the in situ or proximate release of confiscated individuals within Jiangsu Province poses minimal genetic contamination risk. However, validation using nuclear markers, such as microsatellites or single nucleotide polymorphisms, is recommended.
This study focuses on university students and examines the relationship between perception of involution and emotional exhaustion, with psychological resilience and self-compassion included as mediating variables. A cross-sectional design was employed. A survey was conducted among 763 university students via the Questionnaire Star platform. Perception of involution was positively correlated with emotional exhaustion. Psychological resilience and self-compassion partially mediated the relationship between perception of involution and emotional exhaustion. Students with higher levels of perception of involution reported more severe emotional exhaustion and lower levels of psychological resilience and self-compassion, with the association between perception of involution and psychological resilience being particularly pronounced. Female students scored higher than males in perception of involution, emotional exhaustion, and psychological resilience, whereas male students scored higher in self-compassion. This study describes the associative patterns linking perception of involution with emotional exhaustion among university students and provides theoretical support for mental health education in higher education institutions. Targeted interventions may be considered according to differences in perception of involution, gender, and academic year to support the psychological well-being of university students.
Quantum information theory, the formalism for representing information contained in quantum systems, is based on complex Hilbert spaces. It was recently shown that in quantum networks involving three parties with nontrivial locality constraints, this formalism predicts correlations that cannot be explained by real quantum theory, a variant of quantum mechanics based on real Hilbert spaces. In this work, we study a scenario with N + 1 parties sharing quantum systems in a star network. We then construct a multipartite Bell inequality that exhibits a gap between quantum theory and its variant based on real numbers, which grows linearly with N, and is thus arbitrarily large in the asymptotic limit. This implies, that, as the number of parties grows, Hilbert space formalism based on real numbers becomes exceedingly worse at describing complex networks of quantum systems. We also compute the tolerance of this gap to experimental errors.
Precise experimental information on hyperon-nucleon interactions is scarce but of paramount importance to our understanding of the inner structure of compact stars. In this Letter, we report the first experimental results of correlation functions between deuterons (d) and Λ hyperons in Au+Au collisions at sqrt[s_{NN}]=3.0  GeV measured by the STAR experiment at the Relativistic Heavy Ion Collider. A clear enhancement at small relative momenta has been observed in the correlation function. Through a Bayesian inference analysis, the source size parameters as a function of collision centrality and the spin-dependent strong interaction parameters (scattering length f_{0} and effective range d_{0}) are extracted using the Lednický-Lyuboshitz formalism. The derived doublet spin state parameters (f_{0}, d_{0}) lead to a novel method to precisely determine Λ separation energy for the weakly bounded hypertriton _{Λ}^{3}H.
Chronic atrophic gastritis (CAG) is an important precancerous lesion of gastric cancer, with Helicobacter pylori (H. pylori) infection being a major etiological factor. Although quadruple therapy is the first-line treatment for H. pylori eradication, it still has certain limitations. The comparative efficacy of oral Chinese patent medicines combined with quadruple therapy remains unclear. Therefore, this study conducted a network meta-analysis (NMA) to systematically evaluate their efficacy and safety. Randomized controlled trials (RCTs) on oral Chinese patent medicines combined with quadruple therapy for chronic atrophic gastritis were searched electronically in databases including China National Knowledge Infrastructure (CNKI), VIP, WanFang, Chinese Biomedical Literature Database (CBM), PubMed, Web of Science, and Cochrane Library from January 1, 2016, to April 1, 2026. Network Meta-analysis was performed on the included RCTs using Stata and R software. A total of 45 RCTs were included, involving 4,465 participants and 10 kinds of oral Chinese patent medicines. The network Meta-analysis showed that the 10 oral Chinese patent medicines (OCPMs) combined with quadruple therapy (QT) could effectively eradicate H. pylori eradication rates, improve gastrin and pepsinogen levels, and reduce inflammatory factor levels. The SUCRA ranking indicated that, Weisu granule combined with QT may be associated with greater benefit for improving H. pylori eradication rate, increasing motilin levels, and reducing interleukin-6 and tumor necrosis factor-α levels. Weifuchun tablets showed a favorable SUCRA ranking for increasing gastrin levels and reducing C-reactive protein and interleukin-8 levels. Moluo pills showed the highest SUCRA ranking for reducing interleukin-1β levels, while Jinghua Weikang Capsule showed the highest SUCRA probability for improving pepsinogen I levels. In addition, Biling Weitong granule ranked highest by SUCRA for improving pepsinogen II levels and the pepsinogen I/pepsinogen II ratio. However, these findings are based on indirect evidence and require confirmation in future head-to-head trials. Within the limitations of low-certainty evidence, the 10 oral Chinese patent medicines combined with quadruple therapy showed exploratory trends in improving H. pylori eradication rates, gastrin, pepsinogen, and inflammatory factor levels in patients with chronic atrophic gastritis, with few adverse reactions. However, the evidence network was predominantly star-shaped without closed loops, lacking direct head-to-head comparisons among different patent medicines. Restricted by the small sample size, methodological flaws and high clinical heterogeneity of included trials, the current findings should be regarded as hypothesis-generating rather than definitive clinical conclusions. Further large-sample, multicenter, high-quality randomized controlled trials are still required to verify our exploratory results and support precise clinical decision-making. https://www.crd.york.ac.uk/PROSPERO/view/CRD420261366962, CRD420261366962.
Polycystic ovary syndrome (PCOS) is characterized by hyperandrogenism, disrupted folliculogenesis, and subfertility. This study evaluated the therapeutic efficacy of zingerone(4-(4-hydroxy-3-methoxyphenyl)-2-butanone) in a letrozole-induced hyperandrogenised PCOS-like mouse model. Zingerone administration, particularly at 25 and 50 mg/kg, significantly improved ovarian morphology by enhancing follicular development and corpus luteum formation. This was accompanied by increased granulosa cell proliferation (PCNA) and attenuation of apoptosis, evidenced by up-regulation of BCL2 and reduced TUNEL staining. Zingerone reprogrammed ovarian steroidogenesis by reducing circulating testosterone, down-regulating androgen receptor expression, suppressing StAR, and up-regulating aromatase, thereby promoting a shift toward estrogen biosynthesis. Autophagy analysis indicated restoration of autophagic flux, reflected by decreased p62 levels and modulation of Beclin1 and LC3B expression. These coordinated molecular and cellular changes resulted in functional recovery, with significant improvement in fertility and litter size at higher doses (25 and 50 mg/kg). Collectively, zingerone exerts dose-dependent, multi-target effects to restore endocrine, cellular, and autophagic homeostasis, thereby ameliorating ovarian dysfunction in PCOS.