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The extraction conditions and chromatographic analysis from seeds of Inga edulis were optimized and provided one anthocyanin from aqueous fraction and a mixture of three anthocyanins from methanolic fraction. The pure anthocyanin obtained was subjected to structural modifications and the products obtained were subjected to chemical and pharmacological assays, as well as quantum chemical calculations based on DFT and TD-DFT methods. Hence, the anthocyanin fractions were evaluated for their chemical-pharmacological potential through chemical and biological assays: antioxidant activity by the DPPH, determination of the Solar Protection Factor (SPF) and cytotoxic activity (hepatocellular carcinoma infected with hepatitis C virus). The results indicated that even the anthocyanin and derivatized compounds having high antioxidant potential showed an SPF lower than six, which is lower than the minimum accepted by current Brazilian legislation. In addition, none of compounds presented significant cytotoxic activity against the tumour cell line studied. [ABSTRACT FROM AUTHOR]

The nanoparticles of BaCeGdO (BCGO) with x = 0.01 and 0.02 mol% Gd respectively, were synthesized by the polymeric precursor method. The nanocrystals analyzed by X-ray diffraction (XRD) displayed an orthorhombic perovskite-type structure. The sintered samples were characterized using Archimedes method, field emission scanning electronic microscopy (FE-SEM), and dilatometric measurements are reported. The values obtained relative to the average crystallite sizes calculated by the Scherrer equation were found to be dependent on Gd dopant concentration in the samples under investigation. The samples were sintered via both conventional and microwave sintering methods at 1480 °C for 4 h and at 1370 °C for 1 h respectively. By applying a heating rate of 50 °C min in a microwave oven, a satisfactory final density (95.1% of the theoretical density) was obtained using relatively lower temperatures compared to the conventional method. Both sintering methods were successfully employed towards obtaining dense BCGO ceramic. Comparatively, however, domestic microwave sintering was found to bear advantages over conventional sintering. Among such advantages include rapid heating, selective material coupling in addition to the enhancement of reaction kinetics. These relevant merits, in essence, render microwave sintering suitably more attractive for the synthesis of diverse ceramic materials. [ABSTRACT FROM AUTHOR]

The focus of this paper is on the analysis of the structural and electronic order–disorder effects at long, medium and short ranges of titanium dioxide (TiO2) nanoparticles synthesized by the sol–gel process followed by the microwave-assisted solvothermal (MAS) method at low temperatures and short reaction times. X-ray diffraction (XRD), Rietveld refinement, micro-Raman (MR) spectroscopy, transmission electron microscopy (TEM) and X-ray spectroscopy (EDX) were used to characterize the TiO2 nanoparticles. Optical properties were investigated by ultraviolet-visible (UV-vis) and photoluminescence (PL) measurements performed at room temperature. XRD and Rietveld refinement confirmed the presence of the anatase and brookite phases; nonetheless anatase is the major phase. The X-ray photoelectron spectroscopy (XPS) analysis revealed the presence of only Ti4+ but the nonstoichiometry revealed that TiO2 NPs contain defects assigned to oxygen vacancies that lead to structural and electronic order–disorder effects observed by band gap narrowing and PL wide band emission. These intermediary energy levels (shallow and deep levels) created within the band gap act as acceptors/donors of electrons and recombination centers. The oxygen vacancies (VOx, VOṖ and VOṖṖ) responsible by degree of structural order–disorder are related to distortions (tilts) on the [TiO6] octahedron and changes in the bond lengths and bond angles between oxygen and titanium atoms that gave rise to new species of cluster makers such as [TiO6]′, [TiO5·VOx], [TiO5·VOṖ] and [TiO5·VOṖṖ]. This structural transformation is consistent with a redistribution of electron density from highly ordered [TiO6]x clusters which form distorted [TiO6]′ as well as complex [TiO5·VOx], [TiO5·VOṖ] and [TiO5·VOṖṖ] clusters assigned to oxygen vacancies which were understood as displacements in the oxygen atoms’ position in the bond lengths (Ti–O). [ABSTRACT FROM AUTHOR]

Objectives: (1) To replicate the assessment of the internal construct validity of the Coma Recovery Scale-Revised (CRS-R) within the Rasch Measurement Theory framework using a larger multicenter sample size and (2) to compare the different sets of item-level diagnostic criteria against the measurement ruler constructed from Rasch analysis to understand how those criteria relate to the overall level of persons' consciousness., Design: Multicenter retrospective study., Setting: Seven centers., Participants: A total of 380 inpatients with a disorder of consciousness with one or more observations, for a total sample of 1460 observations., Interventions: Not applicable., Main Outcome Measure: CRS-R., Results: We created 2 subsamples: a validation subsample of 1 randomized assessment per subject (N=380) and a confirmation subsample using the further available assessments per subject (N=347). The Rasch analyses, conducted on the validation subsample and replicated on the confirmation one, demonstrated adequate satisfaction of all the model's requirements, including monotonicity, unidimensionality, local independence, invariance (χ 2 df =40.224; P=.020), and absence of significant differential item functioning across all person factors explored, including etiology. The reliability (Person Separation Index>0.870) was sufficient for individual person measurement, with the distinction of five Distinct Levels of Performance Ability. The CRS-R rulers based on the Rasch calibration allowed the visual comparison of the various sets of disorder of consciousness diagnostic criteria available, suggesting the possibility of a further refinement of these criteria., Conclusions: This study improved the results of a previous Rasch analysis published in 2013. It delivered a new stable Rasch calibration of the CRS-R within the largest multicenter sample size available to date and without any differential item functioning by patient's etiology. The adopted measurement-based approach provided further insights into the diagnostic meaning of several score categories of the CRS-R, confirming previous findings and suggesting that "automatic motor response" (item: motor function) and "object recognition" (item: visual function) are likely to represent behavioral manifestations of MCS+ and eMCS, respectively., (Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved.)

Background: Uncertainty and inconsistency in terminology regarding the risk factors (RFs) for in-hospital falls are present in the literature., Objective: (1) To perform a literature review to identify the fall RFs among hospitalized adults; (2) to link the found RFs to the corresponding categories of international health classifications to reduce the heterogeneity of their definitions; (3) to perform a meta-analysis on the risk categories to identify the significant RFs; (4) to refine the final list of significant categories to avoid redundancies., Methods: Four databases were investigated. We included observational studies assessing patients who had experienced in-hospital falls. Two independent reviewers performed the inclusion and extrapolation process and evaluated the methodological quality of the included studies. RFs were grouped into categories according to three health classifications (ICF, ICD-10, and ATC). Meta-analyses were performed to obtain an overall pooled odds ratio for each RF. Finally, protective RFs or redundant RFs across different classifications were excluded., Results: Thirty-six articles were included in the meta-analysis. One thousand one hundred and eleven RFs were identified; 616 were linked to ICF classification, 450 to ICD-10, and 260 to ATC. The meta-analyses and subsequent refinement of the categories yielded 53 significant RFs. Overall, the initial number of RFs was reduced by about 21 times., Conclusion: We identified 53 significant RF categories for in-hospital falls. These results provide proof of concept of the feasibility and validity of the proposed methodology. The list of significant RFs can be used as a template to build more accurate measurement instruments to predict in-hospital falls., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2024 La Porta, Valpiani, Lullini, Negro, Pellicciari, Bassi, Caselli, Pecoraro and Govoni.)

Objective: The objective of this study was to perform a meta-analysis of the minimal clinically important difference (MCID) of the Disabilities of the Arm, Shoulder and Hand (DASH) questionnaire and its shortened version (ie, the QuickDASH)., Methods: MEDLINE, EMBASE, CINAHL, PsycINFO, Web of Science, Cochrane Library, and Scopus were searched up to July 2022. Studies on people with upper limb musculoskeletal disorders that calculated the MCID by anchor-based methods were included. Descriptive and quantitative synthesis was used for the MCID and the minimal detectable change with 90% confidence (MDC90). Fixed-effects models and random-effect models were used for the meta-analysis. I2 statistics was computed to assess heterogeneity. The methodological quality of studies was assessed with the Consensus-Based Standards for the Selection of Health Measurement Instruments checklist for measurement error and an adaptation of the checklist for the studies on MCID proposed by Bohannon and Glenney., Results: Twelve studies (1677 patients) were included, producing 17 MCID estimates ranging from 8.3 to 18.0 DASH points and 8.0 to 18.1 QuickDASH points. The pooled MCIDs were 11.00 DASH points (95% CI = 8.59-13.41; I2 = 0%) and 11.97 QuickDASH points (95% CI = 9.60-14.33; I2 = 0%). The pooled MDC90s were 9.04 DASH points (95% CI = 6.46-11.62; I2 = 0%) and 9.03 QuickDASH points (95% CI = 6.36-11.71; I2 = 18%). Great methodological heterogeneity in the calculation of the MCID was identified among the primary studies., Conclusion: Reasonable MCID ranges of 12 to 14 DASH points and 12 to 15 QuickDASH points were established. The lower boundaries represent the first available measure above the pooled MDC90, and the upper limits represent the upper 95% CI of the pooled MCID., Impact: Reasonable ranges for the MCID of 12 to 14 DASH points and 12 to 15 QuickDASH points were proposed. The lower boundaries represent the first available measure above the pooled MDC90, and the upper limits represent the upper 95% CI of the pooled MCID. Information regarding the interpretability of the 2 questionnaires was derived from very different methodologies, making it difficult to identify reliable thresholds. Now clinicians and researchers can rely on more credible data. The proposed MCIDs should be used to assess people with musculoskeletal disorders. Heterogeneity was found related particularly to the anchor levels used in the primary studies. To promote comparability of MCID values, shared rules defining the most appropriate types of anchoring will be needed in the near future., (© The Author(s) 2024. Published by Oxford University Press on behalf of the American Physical Therapy Association. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Objective: To assess the internal construct validity, including local independence, unidimensionality, monotonicity, and invariance, reliability, and targeting of the Forgotten Joint Score within the Rasch Measurement Theory framework., Design: Cross-sectional study., Patients: A total of 111 patients with total hip arthroplasty at least 3 months after surgery., Methods: The Forgotten Joint Score was submitted to each subject during their rehabilitative treatment in an Italian centre and then to Rasch analysis., Results: The base Rasch analysis showed a satisfactory fit to the model with strict unidimensionality and no differential item functioning. However, monotonicity (11 out of 12 items showed disordered thresholds) and local independence were  violated. After rescoring 10 items and creating 5 subtests to account for local dependence, the scale satisfied all the other Rasch model requirements (i.e. invariance, local independence, monotonicity, unidimensionality, and multi-group invariance), with reliability indexes (> 0.850) for measurement at the individual level and proper targeting. A raw-score-to-measure conversion table was provided., Conclusion: After structural (i.e. collapsing items categories) and non-structural (i.e. creating subtests) strategies, the Forgotten Joint Score satisfied the measurement requirements of the Rasch model, and it can be used in patients with total hip arthroplasty in clinical and research settings.

Introduction: Millions of people survive injuries to the central or peripheral nervous system for which neurorehabilitation is required. In addition to the physical and cognitive impairments, many neurorehabilitation patients experience pain, often not widely recognised and inadequately treated. This is particularly true for multiple sclerosis (MS) patients, for whom pain is one of the most common symptoms. In clinical practice, pain assessment is usually conducted based on a subjective estimate. This approach can lead to inaccurate evaluations due to the influence of numerous factors, including emotional or cognitive aspects. To date, no objective and simple to use clinical methods allow objective quantification of pain and the diagnostic differentiation between the two main types of pain (nociceptive vs neuropathic). Wearable technologies and artificial intelligence (AI) have the potential to bridge this gap by continuously monitoring patients' health parameters and extracting meaningful information from them. Therefore, we propose to develop a new automatic AI-powered tool to assess pain and its characteristics during neurorehabilitation treatments using physiological signals collected by wearable sensors., Methods and Analysis: We aim to recruit 15 participants suffering from MS undergoing physiotherapy treatment. During the study, participants will wear a wristband for three consecutive days and be monitored before and after their physiotherapy sessions. Measurement of traditionally used pain assessment questionnaires and scales (ie, painDETECT, Doleur Neuropathique 4 Questions, EuroQoL-5-dimension-3-level) and physiological signals (photoplethysmography, electrodermal activity, skin temperature, accelerometer data) will be collected. Relevant parameters from physiological signals will be identified, and AI algorithms will be used to develop automatic classification methods., Ethics and Dissemination: The study has been approved by the local Ethical Committee (285-2022-SPER-AUSLBO). Participants are required to provide written informed consent. The results will be disseminated through contributions to international conferences and scientific journals, and they will also be included in a doctoral dissertation., Trial Registration Number: NCT05747040., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)

Objectives: The motor disability due to stroke compromises the autonomy of patients and caregivers. To support autonomy and other personal and social needs, trustworthy, multifunctional, adaptive, and interactive assistive devices represent optimal solutions. To fulfill this aim, an artificial intelligence system named MAIA would aim to interpret users' intentions and translate them into actions performed by assistive devices. Analyzing their perspectives is essential to develop the MAIA system operating in harmony with patients' and caregivers' needs as much as possible., Methods: Post-stroke patients and caregivers were interviewed to explore the impact of motor disability on their lives, previous experiences with assistive technologies, opinions, and attitudes about MAIA and their needs. Interview transcripts were analyzed using inductive thematic analysis., Results: Sixteen interviews were conducted with 12 post-stroke patients and four caregivers. Three themes emerged: (1) Needs to be satisfied, (2) MAIA technology acceptance, and (3) Perceived trustfulness. Overall, patients are seeking rehabilitative technology, contrary to caregivers needing assistive technology to help them daily. An easy-to-use and ergonomic technology is preferable. However, a few participants trust a system based on artificial intelligence., Conclusion: An interactive artificial intelligence technology could help post-stroke patients and their caregivers to restore motor autonomy. The insights from participants to develop the system depends on their motor ability and the role of patients or caregiver. Although technology grows exponentially, more efforts are needed to strengthen people's trust in advanced technology., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2023 Ventura, Ottoboni, Lullini, Chattat, Simoncini, Magni, Piperno, La Porta and Tessari.)

Background: The Early Rehabilitation Barthel Index (ERBI) comprises seven items of the Early Rehabilitation Index and ten items of the Barthel Index. The ERBI is usually used to measure functional changes in patients with severe acquired brain injury (sABI), but its measurement properties have yet to be extensively assessed., Aim: To study the unidimensionality and internal construct validity (ICV) of the ERBI through Confirmatory Factor Analysis (CFA), Mokken Analysis (MA), and Rasch Analysis (RA)., Design: Multicenter prospective study., Setting: Inpatients from five intensive rehabilitation centers., Population: Two hundred and forty-seven subjects with sABI., Methods: ERBI was administered on admission and discharge to study its unidimensionality through CFA and MA and its ICV, reliability, and targeting through RA., Results: The preliminary analyses showed a lack of unidimensionality (RMSEA=0.460 >0.06; SRMR=0.176 >0.06; CFI=1.000 >0.950; TLI=1.000 >0.950). According to CFA, "Confusional state" and "Behavioral disturbance" items showed low factor loadings (<0.40), whereas these two items composed a separate scale within the MA. Furthermore, the baseline RA showed that three items misfitted ("Mechanical ventilation," "Confusional state," "Behavioral disturbances") and a lack of conformity of several ICV requirements. After deletion of three misfitting items and further non-structural modifications (i.e., testlets creation to absorb local dependence between items and item misfit), the solution obtained showed adequate ICV, adequate reliability for measurements at the individual level (PSI>0.85), although with a frank floor effect. This final solution was successfully replicated in a total sample of the subjects. After post-hoc modifications of the score structure of two out of three misfitting items, the subsequent CFA (RMSEA=0.044 <0.06; SRMR=0.056 <0.06; CFI=1.000 >0.950 TLI=1.000 >0.950) and MA showed the resolution of the unidimensional issues., Conclusions: Although the ERBI is a potentially valuable tool for measuring functioning in the coma-to-community continuum, our analyses suggested its lack of ICV, partly due to an incorrect scoring design of some items. A new perspective multicenter study is proposed to validate a modified version of the ERBI that overcomes the problems highlighted in this analysis., Clinical Rehabilitation Impact: Our results do not support the use of the original structure of the ERBI in clinical practice and research, as a lack of ICV was highlighted.

Background: The Berg Balance Scale (BBS) is one of the most used tools to quantify balance in Persons with Multiple Sclerosis, a population at high risk of falling., Aim: To evaluate the measurement characteristics of the BBS in Multiple Sclerosis through Rasch analysis., Design: Retrospective study., Setting: Outpatients in three Italian Rehabilitation centers., Population: Eight hundred and fourteen persons with Multiple Sclerosis able to stand independently for more than 3 s., Methods: The sample ( N = 1,220) was split into one validating (B1) and three confirmatory subsamples. Following the Rasch analysis performed on B1, the item estimates were exported and anchored to the three confirmatory subsamples. After obtaining the same final solution across all samples, we studied the convergent and discriminant validity of the final BBS-MS using the EDSS, the ABC scale, and the number of falls., Results: The base analysis on the B1 subsample failed the monotonicity, local independence, and unidimensionality requirements and did not fit the Rasch model. After grouping locally dependent items, the BBS-MS fitted the model ( χ 2 8 = 23.8; p = 0.003) and satisfied all requirements for adequate internal construct validity (ICV). However, it was mistargeted to the sample, given the striking prevalence of higher scores (targeting index 1.922) with a distribution-independent Person Separation Index sufficient for individual measurements (0.962). The B1 item estimates were anchored to the confirmatory samples with confirmation of adequate fit ( χ 2 = [19.0, 22.8], value of p s = [0.015, 0.004]) and satisfaction of all ICV requirements for all subsamples. The final BBS-MS directly correlated with the ABC scale (rho = 0.523) and inversely with EDSS (rho = -0.573). The BBS-MS estimates significantly differed across groups according to the pre-specified hypotheses (between the three EDSS groups, between the ABC cut-offs, distinguishing 'fallers' vs. 'non-fallers', and between the 'low' vs. 'moderate' vs. 'high' levels of physical functioning; and, finally, between 'no falls' vs. 'one or more falls')., Conclusion: This study supports the internal construct validity and reliability of the BBS-MS in an Italian multicentre sample of persons with Multiple Sclerosis. However, as the scale is slightly mistargeted to the sample, it represents a candidate tool to assess balance, mainly in more disabled people with an advanced walking disability., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2023 Caselli, Sabattini, Cattaneo, Jonsdottir, Brichetto, Pozzi, Lugaresi and La Porta.)

Background: Cranioplasty (CP) is supposed to improve the functional outcome of severe acquired brain injury (sABI) patients with decompressive craniectomy (DC). However, ongoing controversies exist regarding its indications, optimum materials, timing, complications, and relationships with hydrocephalus (HC). For these reasons, an International Consensus Conference (ICC) on CP in traumatic brain injury (TBI) was held in June 2018 to issue some recommendations., Aim: The aims of this study were: to investigate cross-sectionally before the ICC the prevalence of DC/CP in sABI inpatients admitted to neurorehabilitation units in Italy; to assess the perception of Italian clinicians working in the sABI neurorehabilitation settings on the management of inpatients with DC/CP during their rehabilitation stay., Design: Cross-sectional., Setting and Population: Physiatrists or neurologists working in 38 Italian rehabilitation centers involved in the care of sABI, giving a pooled sample of 599 inpatients., Methods: Survey questionnaire consisting of 21 closed-ended questions with multiple-choice answers. Sixteen questions regarded the respondents' opinions and experiences regarding the clinical and management aspects of patients. Survey data were collected via e-mail between April and May 2018., Results: About 1/3 of the 599 inpatients had either a DC (18.9%) or a CP (13.5%). TBI and cerebral hemorrhage were strongly associated with DC/CP, although the association was much stronger for TBI. Significant discrepancies were uncovered between some of the recommendations of the ICC and the corresponding perceptions of the respondents, especially regarding the clinical management of patients (i.e., CP timing). Clear guidelines were perceived as the most crucial factor in improving clinical pathways., Conclusions: Early collaboration between the neurosurgical and the neurorehabilitation teams is crucial to optimize all clinical and organizational factors, which could expedite CP and minimize the risk of complications, such as infections and HC, to ensure the best possible outcome for DC patients, regardless of the etiology of the sABI., Clinical Rehabilitation Impact: There may be different attitudes and perceptions, if not controversies, between neurorehabilitation physicians and neurosurgeons regarding the optimal clinical and care pathway management of patients with DC/CP in Italy. Therefore, an Italian Consensus Conference involving all stakeholders on the clinical and management pathways of DC/CP patients admitted to neurorehabilitation is advocated.

Stroke patients with left Hemispatial Neglect (LHN) show deficits in perceiving left contralesional stimuli with biased visuospatial perception towards the right hemifield. However, very little is known about the functional organization of the visuospatial perceptual neural network and how this can account for the profound reorganization of space representation in LHN. In the present work, we aimed at (1) identifying EEG measures that discriminate LHN patients against controls and (2) devise a causative neurophysiological model between the discriminative EEG measures. To these aims, EEG was recorded during exposure to lateralized visual stimuli which allowed for pre-and post-stimulus activity investigation across three groups: LHN patients, lesioned controls, and healthy individuals. Moreover, all participants performed a standard behavioral test assessing the perceptual asymmetry index in detecting lateralized stimuli. The between-groups discriminative EEG patterns were entered into a Structural Equation Model for the identification of causative hierarchical associations (i.e., pathways) between EEG measures and the perceptual asymmetry index. The model identified two pathways. A first pathway showed that the combined contribution of pre-stimulus frontoparietal connectivity and individual-alpha-frequency predicts post-stimulus processing, as measured by visual-evoked N100, which, in turn, predicts the perceptual asymmetry index. A second pathway directly links the inter-hemispheric distribution of alpha-amplitude with the perceptual asymmetry index. The two pathways can collectively explain 83.1% of the variance in the perceptual asymmetry index. Using causative modeling, the present study identified how psychophysiological correlates of visuospatial perception are organized and predict the degree of behavioral asymmetry in LHN patients and controls., Competing Interests: Declaration of Competing Interest Authors declare no competing interests., (Copyright © 2023. Published by Elsevier Inc.)

We carried out theoretical and experimental analyses of ZnO and ZnS nanoparticles as smart semiconductor materials in light-activated antimicrobial coating for application in masks. We used low-cost hydrothermally processable precursors to direct the growth of the coatings on cotton fabric. Both ZnO and ZnS coatings had high reactivities as disinfection agents in photocatalysis reactions for the degradation of a methylene blue dye solution. Also, these coatings showed excellent UV protection properties. For understanding at the molecular level, the broad-spectrum biological activities of the ZnO and ZnS coatings against Fusarium Oxysporum fungi, Escherichia coli bacteria, and severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) virus and their variants, were investigated computationally. Hexagonal Zn 6 O 6 and Zn 6 S 6 clusters were used as models for the simulations through excited- and ground-state calculations. The theoretical findings show that changes in the local chemical environment in these excited systems have a profound impact on their physical and chemical properties and thus, can provide a better understanding to engineer new functional materials in light-activated antimicrobial coatings for the mitigation of SARS-CoV-2 infection., Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (© 2022 Elsevier Ltd. All rights reserved.)

Biofilm formation is important for microbial survival in hostile environments and a phenotype that provides microorganisms with antimicrobial resistance. Zinc oxide (ZnO) and Zinc sulfide (ZnS) nanoparticles (NPs) present potential antimicrobial properties for biomedical and food industry applications. Here, we aimed to analyze, for the first time, the bactericidal and antibiofilm activity of ZnS NPs against Staphylococcus aureus, Klebsiella oxytoca, and Pseudomonas aeruginosa, all medically important bacteria in developed countries. We compared ZnS NPs antimicrobial activity to ZnO NPs, which have been extensively studied. Using the colorimetric XTT reduction assay to observe the metabolic activity of bacterial cells and the crystal violet assay to measure biofilm mass, we demonstrated that ZnS and ZnO had similar efficacy in killing planktonic bacterial cells and reducing biofilm formation, with S. aureus being more susceptible to both therapeutics than K. oxytoca and P. aeruginosa. Crystal violet staining and confocal microscopy validated that Zn NPs inhibit biofilm formation and cause architectural damage. Our findings provide proof of principle that ZnS NPs have antibiofilm activity, and can be potentially used in medical and food industry applications, such as treatment of wound infections or package coating for food preservation. IMPORTANCE Zinc (Zn)-based nanoparticles (NPs) can be potentially used in medical and food preservation applications. As proof of principle, we investigated the bactericidal and antibiofilm activity of zinc oxide (ZnO) and zinc sulfide (ZnS) NPs against medically important bacteria. Zn-based NPs were similarly effective in killing planktonic and biofilm-associated Staphylococcus aureus, Klebsiella oxytoca, and Pseudomonas aeruginosa cells. However, S. aureus was more susceptible to these investigational therapeutics. Although further studies are warranted, our findings suggest the possibility of future use of Zn-based NPs in the treatment of skin infections or preservation of food.

Liquid metal catalysts have recently attracted attention for synthesizing high-quality 2D materials facilitated via the catalysts' perfectly smooth surface. However, the microscopic catalytic processes occurring at the surface are still largely unclear because liquid metals escape the accessibility of traditional experimental and computational surface science approaches. Hence, numerous controversies are found regarding different applications, with graphene (Gr) growth on liquid copper (Cu) as a prominent prototype. In this work, novel in situ and in silico techniques are employed to achieve an atomic-level characterization of the graphene adsorption height above liquid Cu, reaching quantitative agreement within 0.1 Å between experiment and theory. The results are obtained via in situ synchrotron X-ray reflectivity (XRR) measurements over wide-range q-vectors and large-scale molecular dynamics simulations based on efficient machine-learning (ML) potentials trained to first-principles density functional theory (DFT) data. The computational insight is demonstrated to be robust against inherent DFT errors and reveals the nature of graphene binding to be highly comparable at liquid Cu and solid Cu(111). Transporting the predictive first-principles quality via ML potentials to the scales required for liquid metal catalysis thus provides a powerful approach to reach microscopic understanding, analogous to the established computational approaches for catalysis at solid surfaces., (© 2022 The Authors. Advanced Science published by Wiley-VCH GmbH.)

Background: There is a tremendous clinical and research need to bridge the gap between disorder of consciousness and functional independence scales with a single unidimensional measure in people with acquired brain injury., Aim: To calibrate an essentially unidimensional subset of items from the Italian Early Functional Abilities (EFA), demonstrating internal construct validity and sufficient reliability for individual patient measurement., Design: Multicenter observational cross-sectional study., Setting: Inpatients from 11 different Italian Rehabilitation centers., Population: Three hundred sixty-two adult patients with a disorder of consciousness due to an acquired brain injury., Methods: The Italian version of EFA was administered to the sample and then submitted to Mokken analysis, Confirmatory Factor Analysis, Rasch analysis, Confirmatory Bifactor Analysis, and external construct validity., Results: According to Mokken Analysis (all item scalability coefficients Hj positive; all item-pair scalability coefficients Hij >0.3; scale coefficient H=0.762), and Confirmatory Factor Analysis (RMSEA=0.081; SRMR=0.048; CFI=0.995; TLI=0.995), the Italian EFA showed a sufficient preliminary unidimensionality. Within Rasch Analysis, a final 12-item solution for the EFA (EFA-R) was calibrated. EFA-R is "essentially unidimensional" according to the following requirements: 1) analysis of residual correlations which supported item essential local independence; 2) a robust correlation between item subtests (rho=0.950); 3) only 2.1% of cases with significant difference between person parameter estimates by different subscales; 4) an explained common variance equal to 0.916 obtained from a final Confirmatory Bifactor Analysis. It also satisfied invariance requirement (unconditional χ220=9.81; P=0.457, conditional class-interval based χ235=33.1; P=0.557), and monotonicity. The reliability (Person Separation Index=0.887) was adequate for person measurements. A practical raw-score-to-measure conversion table based on the EFA-R calibration was devised. Finally, EFA-R strongly correlated with Coma Recovery Scale-Revised (rho=0.922) and motor FIM ™ (rho=0.808)., Conclusions: EFA-R is an essentially unidimensional subset of 12 items with adequate internal construct validity and sufficient reliability for individual patient measurement under the Rasch Model Theory framework., Clinical Rehabilitation Impact: EFA-R has the potential to measure people's functional abilities whose consciousness is improving despite ongoing severe motor-functional impairments during the early stages of rehabilitation. It provides "a measurement bridge" between the disorder of consciousness and the functional independence scales in patients with severe acquired brain injury.

Background: Fall risk in the elderly is a major public health issue due to the injury-related consequences and the risk of associated long-term disability. However, delivering preventive interventions in usual clinical practice still represents a challenge., Aim: To evaluate the efficacy of a multiple-component combined with a multifactorial personalized intervention in reducing fall rates in a mixed population of community-dwelling elderly compared to usual care., Design: Randomized Controlled Trial (NCT03592420, clinicalTrials.gov)., Setting: Outpatients in two Italian centers., Population: 403 community-dwelling elderly at moderate-to-high fall risk, including subjects with Parkinson's Disease and stroke., Methods: After the randomization, the described interventions were administered to the intervention group ( n = 203). The control group ( n = 200) received usual care and recommendations to minimize fall risk factors. In addition, each participant received a fall diary, followed by 12 monthly phone calls. The primary endpoint was the total number of falls in each group over 12 months, while the secondary endpoints were other fall-related indicators recorded at one year. In addition, participants' functioning was assessed at baseline (T1) and 3-month (T3)., Results: 690 falls were reported at 12 months, 48.8% in the intervention and 51.2% in the control group, with 1.66 (± 3.5) and 1.77 (± 3.2) mean falls per subject, respectively. Subjects with ≥ 1 fall and ≥2 falls were, respectively, 236 (58.6%) and 148 (36.7%). No statistically significant differences were observed between groups regarding the number of falls, the falling probability, and the time to the first fall. According to the subgroup analysis, no significant differences were reported. However, a statistically significant difference was found for the Mini-BESTest ( p = 0.004) and the Fullerton Advanced Balance Scale ( p = 0.006) for the intervention group, with a small effect size (Cohen's d 0.26 and 0.32, respectively), at T1 and T3 evaluations., Conclusions: The intervention was ineffective in reducing the number of falls, the falling probability, and the time to the first fall at 12 months in a mixed population of community-dwelling elderly. A significant improvement for two balance indicators was recorded in the intervention group. Future studies are needed to explore different effects of the proposed interventions to reduce falls and consequences., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2022 La Porta, Lullini, Caselli, Valzania, Mussi, Tedeschi, Pioli, Bondavalli, Bertolotti, Banchelli, D'Amico, Vicini, Puglisi, Clerici, Chiari and the PRECISA Group.)

Accurate outcome detection in neuro-rehabilitative settings is crucial for appropriate long-term rehabilitative decisions in patients with disorders of consciousness (DoC). EEG measures derived from high-density EEG can provide helpful information regarding diagnosis and recovery in DoC patients. However, the accuracy rate of EEG biomarkers to predict the clinical outcome in DoC patients is largely unknown. This study investigated the accuracy of psychophysiological biomarkers based on clinical EEG in predicting clinical outcomes in DoC patients. To this aim, we extracted a set of EEG biomarkers in 33 DoC patients with traumatic and nontraumatic etiologies and estimated their accuracy to discriminate patients' etiologies and predict clinical outcomes 6 months after the injury. Machine learning reached an accuracy of 83.3% (sensitivity = 92.3%, specificity = 60%) with EEG-based functional connectivity predicting clinical outcome in nontraumatic patients. Furthermore, the combination of functional connectivity and dominant frequency in EEG activity best predicted clinical outcomes in traumatic patients with an accuracy of 80% (sensitivity = 85.7%, specificity = 71.4%). These results highlight the importance of functional connectivity in predicting recovery in DoC patients. Moreover, this study shows the high translational value of EEG biomarkers both in terms of feasibility and accuracy for the assessment of DoC.