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In the present work, the response of composite hybrid laminates made of carbon and glass fibers in different stacking configurations was tested under low-velocity impact loads. Experimental drop impact tests were conducted on three different stacking sequences and three rising impact energy levels. The results from the tests were assumed for the development and validation of a numerical impact model reproducing for each stacking sequence and all the impact energy levels, the laminates impact response. The validated model investigated the occurred damage mechanisms, their distribution in the panel thickness and their extension on the plane of the laminate. Depending on the stacking sequence and the impact energy level, the energy absorption capacity was related to the dominant damage mechanism. The percentage contribution of interlaminar and intralaminar damages was presented and conclusions were drawn about the influence of stacking sequences on energy absorption and damage characteristics.

The impact of COVID-19 changed the use and delivery of health care services, requiring an abrupt shift in treatment and staffing models 1,2. This is particularly salient in youth acute and intensive treatment services (AITS), including inpatient psychiatric hospitals (IPH), intensive outpatient programs (IOP), and partial hospitalization programs (PHP), because of challenging issues of maintaining high-quality care and a safe therapeutic milieu during increased demand for acute services,3 all while limiting transmission of COVID-19 on locked units, in close quarters, and for youths traveling back and forth to day-programs. Over the past year, AITS adapted and evolved without the ability to pause services and plan, increase staffing, or allocate additional resources. This article discusses themes of changes made based on more than 20 facilities across the United States through the American Psychological Association Child and Adolescent Psychology Division’s Acute, Intensive, and Residential Service Special Interest Group.4 These facilities include psychiatric inpatient units and day-treatment programs. We discuss lessons learned from these changes, the need for evaluating these changes, and application of these lessons in future crises.

Background There is a positive continuous association between Lipoprotein(a) (Lp[a]) levels and the risk of recurrent ischemic events in patients with recent myocardial infarction (MI). However, the prognostic significance of the association between high Lp(a) levels and diabetes has been poorly investigated after MI. Purpose The aim of this study was to evaluate the association of Lp(a) levels with the long-term risk of adverse events in post-MI patients, and to investigate whether diabetes may influence this association. Methods Consecutive MI patients who underwent urgent/emergent coronary angiography at our Institution from February 2013 to June 2019 were prospectively collected. Lp(a) serum concentrations was expressed for increasing range values (≤10, >10–30, >30–50, >50–70, and ≥70 mg/dL). The primary outcome was the recurrence of MI; the secondary outcome was all-cause death. The propensity score weighting technique was used to account for potential confounding between patients with and without diabetes. Results The study population consisted of 1018 post-MI patients (median age: 63 years; 76% males). Diabetes was reported in 280 patients (27.5%). The median value of Lp(a) was 10 mg/dL, and patients with diabetes showed significantly lower Lp(a) levels than patients without diabetes (p=0.025). At a median follow-up of 1121 days, the primary outcome was reported in 109 patients (10.7%), and the secondary outcome in 100 (9.8%). After propensity score weighting, there was a significant association between increasing Lp(a) range values and the primary outcome both in the overall population (p trend = 0.030) and in non-diabetic patients (p trend = 0.009), but not in diabetics. Conversely, no significant association with the risk of all-cause mortality across increasing Lp(a) categories both in the overall population and in the study groups according to the presence or not of diabetes was found. Compared with the lowest Lp(a) category, Lp(a) plasma levels >70 mg/dL were independently associated with the risk of recurrent MI (HR: 3.222; 95% CI, 1.225–8.478, p=0.018) and all-cause death (HR: 2.656; 95% CI, 1.009–6.991, p=0.048) in non-diabetic patients, but not in diabetics. Conclusions In this real-world post-MI population, Lp(a) serum levels were lower in diabetic than in non-diabetic patients. Increasing Lp(a) levels were significantly associated with the risk of recurrent MI, and very high Lp(a) serum concentration (>70 mg/dL) independently predicted recurrent MI and death in non-diabetic patients, but not in diabetics. These results reinforce the importance of routine assessment of Lp(a) levels after MI, particularly in patients without diabetes. Funding Acknowledgement Type of funding sources: None.

Background The Academic Research Consortium for High Bleeding Risk (ARC–HBR) has recently proposed, by consensus, twenty clinical criteria for the assessment of the bleeding risk after percutaneous coronary intervention (PCI). A major criterion was defined as any individual clinical condition conferring in isolation a risk for major bleeding ≥4% up to 1 year after PCI; instead, a minor criterion was considered to confer a bleeding risk of Methods MEDLINE, COCHRANE, Web of Sciences, and SCOPUS were searched for studies aimed at validating the ARC–HBR criteria in patients treated with PCI. The primary outcome measure of this meta–analysis was major bleeding. Results The analysis included 10 studies encompassing 67,862 patients undergoing PCI; the HBR definition was fulfilled in 44.7% of the cases. The risk of major bleeding was significantly higher in HBR vs. Non–HBR group (RR, 2.56, 95% CI 2.28–2.89). The average C–statistic was 0.64 (95% CI 0.60–0.68), indicating modest discrimination. The risk of intracranial hemorrhage, gastrointestinal bleeding, fatal bleeding, ischaemic stroke, cardiac death and all–cause death was higher in HBR vs. Non–HBR group. Despite a higher incidence of myocardial infarction and stent thrombosis in patients deemed at HBR, the rate of target lesion revascularization was comparable between groups (RR, 1.01, 95% CI 0.88–1.16). When assessed in isolation, the mean cumulative incidence of major bleeding at 1 year exceeded the cut–off value of 4% for all the major criteria and for two out of six minor criteria, including age ≥75 years and moderate chronic kidney disease (CKD) (Figure). Conclusion The ARC–HBR definition identifies patients at higher risk of major bleeding and other adverse cardiovascular events after PCI. Almost all major criteria, but also two of the minor criteria, were individually associated with rates of major bleeding above 4% thus fulfilling the definition of major HBR criteria. These findings corroborate the ability of ARC–HBR major criteria in identifying PCI patients who are more likely to develop adverse events, but also suggest caution in the decision making of patients with isolated minor criteria, including age≥75 years and moderate CKD.

Aims To describe the baseline clinical, laboratory and angiographic characteristics of patients with acute myocardial infarction (MI) according to the presence or not of diabetes mellitus (DM), and to evaluate if DM may influence the effect of lipoprotein(a) [Lp(a)] serum level on long–term outcome in this very high–risk population. Methods This was a retrospective, single–center, study including consecutive patients admitted with MI diagnosis between January 1, 2017, and December 31, 2020. The availability of data on baseline Lp(a) serum level was considered as an inclusion criterion. The study population was divided into two groups according to the presence or not of DM. The Lp(a) value of 50 mg/dL was used to test the hypothesis of a different effect of Lp(a) on the clinical outcome of patients with or without DM. The primary study outcome was all–cause death at 3–year follow–up. Results The study population included 997 patients (mean age 63.7±13.5 years; 75.7% were males). Diabetes was reported in 280 (28.1%) patients. DM patients were older than those without DM (67.8±12.1 vs. 62.0±13.7 years, p Conclusion In this MI population, Lp(a) was independently associated with long–term mortality in patients without DM, but not in patients with DM. Whether DM can modify the effect of Lp(a) on clinical outcome after MI requires confirmation by larger prospective studies.

American Indian (AI) and Indigenous peoples utilize traditional medicine/healing (TM/H) for health and well-being. Allopathic health care practitioners (HCPs) receive minimal training and education on TM/H and its application and integration into health care settings. Lack of knowledge and practice guidelines on how to navigate these 2 health care perspectives (allopathic and traditional) creates uncertainties in the treatment of AI and Indigenous peoples. Such conflicts can undermine patient autonomy and result in culturally incongruent practice. This article presents a case study showcasing suggestions for how HCPs can direct clinical decision making when working with AI/Indigenous patients who utilize TM/H. The article argues that health professions education institutions and HCPs must dedicate effort to expanding awareness of and education about TM/H to enhance the delivery of evidence-based and integrated clinical treatment for AI/Indigenous patients.

Background Two prospective studies that were performed before the era of highly sensitive solid-phase assays have shown a lower incidence of acute rejection in highly sensitized kidney-transplant patients given polyclonal antibodies compared with those given anti-CD25 monoclonal antibodies. Methods This prospective pilot randomized French multicenter study aimed to compare anti–T-lymphocyte Ig (ATLG) (n = 32) and basiliximab (n = 27) in highly sensitized kidney-transplant patients without preformed donor-specific antibodies (pDSAs) as assessed by a Luminex Single-Antigen flow bead assay. Only patients with a calculated panel reactive antibody ≥50%, with at least 1 antibody with a mean fluorescence intensity ≥5000 and without a historical pDSA and without a pDSA on the day of transplantation were included. Results Treatment failure as defined by biopsy-proven acute rejection, patient lost to follow-up, graft loss, and death was observed in 18.8% (95% confidence interval [CI], 8.9%–37.1%) and 18.8% (95% CI, 8.9%–37.1%) in patients who received ATLG and 14.8% (95% CI, 5.8%–34.8%) and 28.2% (95% CI, 14.2%–51.2%) of patients who received basiliximab, respectively at 6 (P = 0.66) and 12 (P = 0.62) months post-transplantation. One T cell–mediated rejection was observed in ATLG-treated patients (3.1%). One antibody-mediated rejection due to a de novo donor-specific antibody (DSA) occurred in basiliximab-treated patients (3.7%). Patient survival, graft survival, kidney parameters, and infection rate were similar in the 2 groups. Conclusion This pilot study indicates that in highly sensitized kidney-transplant patients without pDSAs, both ATLG and basiliximab can be used efficiently and safely. However, because of the lack of power, these results should be interpreted with caution., Graphical abstract

Funding Acknowledgements Type of funding sources: None. Backgrounds although right ventricular (RV) systolic dysfunction seems to be associated with adverse outcome after transcatheter edge-to-edge mitral valve repair (TEER) with the MitraClip system, the prognostic value of RV free wall strain in this setting has not been yet investigated. Purpose aim of this study is to evaluate RV free wall strain as predictor of outcome in patients with severe or moderate-to-severe functional MR undergoing TEER and its prognostic role compared with tricuspid annular plane systolic excursion (TAPSE). Methods 102 patients [73 (IQR 66.8-77.0) years, 73 males (71.6%)] were retrospectively selected from March 2012 to February 2021. Echocardiograms were performed by using General Electric machines. RV free wall strain was assessed through RV modified apical 4-chamber view, setting the region of interest to minimum size (Figure 1). Values of RV free wall strain >-20% were recognized as abnormal. We considered a composite endpoint including rehospitalization for heart failure (HF) and overall death as primary outcome. Secondary outcomes were overall death, cardiac death and rehospitalization for HF. All patients were assessed at the longest available follow-up [median 22.1 (IQR 9.7-49.3) months]. Results primary outcome was found in 60 (58.8%) patients, while secondary outcomes, i.e. overall death, cardiac death and rehospitalization for HF, were found respectively in 50 (50.0%), 31 (30.4%) and 36 (35.3%) patients. Mean TAPSE was 16.7 ± 4.0 mm and mean RV free wall strain was -16.9 ± 6.0%. At univariable analysis both TAPSE (HR 0.907, CI 0.848-0.970, p value 0.004) and RV free wall strain (HR 0.937, CI 0.897-0.979, p value 0.004) were significantly associated with the primary outcome. Kaplan-Meier survival curves showed that patients with TAPSE -20% also showed a lower survival free from the composite outcome compared with patients with RV free wall strain ≤-20% (Log Rank 0.004). Among patients with preserved RV systolic longitudinal function as indicated by TAPSE ≥17 mm, subjects with RV free wall strain >-20% had a significantly higher incidence of the composite outcome compare with those with RV free wall strain ≤-20% (Log-Rank = 0.008, Figure 2). Conversely, no difference was found among patients with TAPSE Conclusions RV dysfunction assessed either by TAPSE and RV free wall strain is associated with poorer outcome in patients with severe or moderate-to-severe functional MR undergoing TEER. Compared with TAPSE, RV free wall strain seems to be superior in identifying patients at higher risk of adverse events during follow-up. Our data encourage the use of this speckle tracking-derived echocardiographic parameter in routinely evaluation of patients with functional MR candidate for TEER. Abstract Figure. Abstract Figure 2

International audience; Recently, Akalin et al.1 reported a 28% mortality among kidney‐transplant patients infected with Severe Acute Respiratory Syndrome Coronavirus 2 (SARS‐CoV‐2). Two of the 10 patients who died had been transplanted within the previous 5 weeks. During the coronavirus disease (COVID)‐19 outbreak, kidney transplant programs were suspended in several countries2. Although the pandemic is still ongoing, the stop of lockdown has prompted several transplant centers to restart kidney transplantation programs. It is recommended to consider that donors and recipients are screened for SARS‐CoV‐2 before transplantation by means of nuclear acid tests with or without chest CT scans.

1,3:2,4-Dibenzylidene-D-sorbitol (DBS) and 12-hydroxystearic acid (12-HSA) are well-known as low-molecular-weight organogelators (LMOGs) capable of gelling an organic liquid phase. Considering their unique chemical and physical properties, we assessed their potential effects in new lipstick formulations by discrimination testing, in vitro measurements of the sun protection factor (SPF), and thermal, mechanical and texture analyzes. DBS and 12-HSA were used to formulate four types of lipsticks: L1 (1% DBS), L2 (10% 12-HSA), L3 (1.5% DBS) and L4 (control, no LMOGs). The lipsticks were tested for sensory perception with an untrained panel of 16 consumers. LMOG formulations exhibited higher UVA protection factor (UVA-PF) and in vitro SPF, particularly in the 12-HSA-based lipstick. Regarding thermal properties, the 12-HSA-based lipstick and those without LMOGs were more heat-amenable compared to thermoresistant DBS-based lipsticks. The results also showed the viscoelastic and thermally reversible properties of LMOGs and their effect of increasing pay-off values. In general, the texture analysis indicated that 12-HSA-based lipstick was significantly harder to bend compared to control, while the other formulations became softer and easier to bend throughout the stability study. This work suggests the potential use of LMOGs as a structuring agent for lipsticks, paving the way towards more photoprotective and sustainable alternatives.

Autobiographical memory studies conducted with narrative methods are onerous, requiring significant resources in time and labor. We have created a semi-automated process that allows autobiographical transcribing and scoring methods to be streamlined. Our paper focuses on the Autobiographical Interview (AI; Levine, Svoboda, Hay, Winocur, & Moscovitch, Psychology and Aging, 17, 677-89, 2002), but this method can be adapted for other narrative protocols. Specifically, here we lay out a procedure that guides researchers through the four main phases of the autobiographical narrative pipeline: (1) data collection, (2) transcribing, (3) scoring, and (4) analysis. First, we provide recommendations for incorporating transcription software to augment human transcribing. We then introduce an electronic scoring procedure for tagging narratives for scoring that incorporates the traditional AI scoring method with basic keyboard shortcuts in Microsoft Word. Finally, we provide a Python script that can be used to automate counting of scored transcripts. This method accelerates the time it takes to conduct a narrative study and reduces the opportunity for error in narrative quantification. Available open access on GitHub ( https://github.com/cMadan/scoreAI ), our pipeline makes narrative methods more accessible for future research.

Growth hormone-releasing peptide-6 (GHRP-6) is part of a group of small synthetic peptides with potent GH-releasing activity that have gained attention in the last two decades by virtue of their cyto- and cardioprotective effects. Despite numerous preclinical studies highlighting the potential cardiovascular benefits of GHRP-6, confirmation of clinical efficacy is still awaited. Recent advances in transdermal drug delivery systems have been made to address challenges related to the poor skin permeation rate of peptides by using pain-free microneedle (MN) devices. Accordingly, highly sensitive and validated analytical methods are required for the potential clinical translation of MN-based peptides. The ultra-performance liquid chromatography tandem mass spectrometry (UHPLC-MS/MS) methods developed in this study aimed to quantify GHRP-6 in biological matrices (plasma, skin) and dissolving polymeric MNs. UHPLC/MS-MS method detection limits of 0.1, 1.1, 0.9 and 1.5 ng/mL were achieved in neat solution, plasma, MN polymer solution, and skin matrices, respectively. Method validation also involved assessment of precision, accuracy, limits of quantification, linearity of matched calibration curves (R2 > 0.990), extraction recovery, matrix effect, stability studies, selectivity, and carry-over effect. Additionally, quality control samples were analyzed at three concentration levels to determine recovery (85–109%) and accuracy/bias (3.2–14.7%). Intra- and inter-day precision were within the range of acceptance (RSDs of 3.0–13.9% and 0.4–14.5%, respectively). The validity and applicability of such methods were successfully demonstrated for transdermal GHRP-6 delivery using GHRP-6-loaded MN patches applied to pig skin.

Introduction Une faible immunogenicite des vaccins a ARN messager a ete rapportee chez les patients transplantes d’organes solides apres deux doses vaccinales. Description L’objectif de cette etude retrospective monocentrique etait d’identifier les facteurs predictifs de reponse vaccinale apres l’administration de deux doses de vaccin a ARN messager. Methodes Au total, 393 patients ont beneficie de deux doses de vaccins a ARN messager a 1 mois d’intervalle (vaccin BNT162b2, Pfizer-BioNTech, n = 391 ; vaccin mRNA 1273, Moderna, n = 2). Resultats A 1 mois de la seconde dose de vaccin a ARN messager, 97 des 288 transplantes renaux ont developpes des anticorps anti-SARS-CoV2 (33,7 %), contre 31 des 65 patients transplantes hepatiques (47,7 %), 5 des 35 patients transplantes thoraciques (14,3 %), et 1 des 5 transplantes du pancreas (20,0 %) (p = 0,005). Les patients ayant developpes une reponse vaccinale etaient plus jeunes, plus souvent des hommes et transplantes depuis plus longtemps que les patients non-repondeurs. Les patients ayant recu un traitement d’induction developpaient moins souvent des anticorps anti-SARS-CoV2 que les patients n’ayant pas recu de traitement d’induction. Les patients recevant de l’acide mycophenolique, des corticoides ou du belatacept developpaient moins souvent une reponse vaccinale. Inversement, les patients recevant des inhibiteurs des mTOR developpaient plus souvent des anticorps anti-SARS-CoV2. Finalement, quel que soit le type d’organe greffe, les patients ayant une reponse vaccinale avaient un DFG estime superieur a celui des patients n’ayant pas developpes d’anticorps. En analyse multivariee, etre un homme, a distance de la greffe et avoir un DFG eleve etaient associes a une reponse vaccinale positive. A l’inverse, etre jeune, receveur d’organe thoracique, sous traitement par acide mycophenolique, corticoides ou belatacept etaient associes a une reponse vaccinale negative. Conclusion La vaccination anti-SARS-CoV2 a ARN messager a deux doses possede une faible immunogenicite chez les receveurs d’organes solides. Le traitement immunosuppresseur serait le seul parametre modifiable permettant d’ameliorer la reponse vaccinale.

Additive manufacture (AM) technologies allow innovative structural design, including complex lattice structures. Selective laser melting (SLM) is an AM process that enables the manufacture of space filling lattice structures. Lattice structures are topologically ordered, three-dimensional open-celled structures composed of one or more repeating unit cells. From a mechanical designer viewpoint, a great advantage offered by cellular materials is high strength accompanied by a relatively low mass. Due to their complex structure, fine geometry and the absence of supports structures, the setting of the best parameters to print lattice structures is difficult and could negative influence their mechanical response. This study investigated how different parameters settings influence the compression behaviour of lattice structures in stainless steel 17-4PH (AISI-630) printed by SLM. A comparison between compressive response of structures printed with different parameters is presented and considerations about their behaviour exposed.

Composites are experiencing a new era. The spatial resolution at which is to date possible to build up complex architectured microstructures through additive manufacturing-based and sintering of powder metals 3D printing techniques, as well as the recent improvements in both filament winding and automated fiber deposition processes, are opening new unforeseeable scenarios for applying optimization strategies to the design of high-performance structures and metamaterials that could previously be only theoretically conceived. Motivated by these new possibilities, the present work, by combining computational methods, analytical approaches and experimental analysis, shows how finite element Design Optimization algorithms can be ad hoc rewritten by identifying as design variables the orientation of the reinforcing fibers in each ply of a layered structure for redesigning fiber-reinforced composites exhibiting at the same time high stiffness and toughening, two features generally in competition each other. To highlight the flexibility and the effectiveness of the proposed strategy, after a brief recalling of the essential theoretical remarks and the implemented procedure, selected example applications are finally illustrated on laminated plates under different boundary conditions, cylindrical layered shells with varying curvature subjected to point loads and composite tubes made of carbon fiber-reinforced polymers, recently employed as structural components in advanced aerospace engineering applications.

Objectives: To evaluate the maternal and perinatal outcomes of pregnancies affected by SARS-CoV-2 infection. Methods: This was a multinational retrospective cohort study including women with a singleton pregnancy and laboratory-confirmed SARS-CoV-2 infection, conducted in 72 centers in 22 different countries in Europe, the USA, South America, Asia and Australia, between 1 February 2020 and 30 April 2020. Confirmed SARS-CoV-2 infection was defined as a positive result on real-time reverse-transcription polymerase chain reaction (RT-PCR) assay of nasopharyngeal swab specimens. The primary outcome was a composite measure of maternal mortality and morbidity, including admission to the intensive care unit (ICU), use of mechanical ventilation and death. Results: In total, 388 women with a singleton pregnancy tested positive for SARS-CoV-2 on RT-PCR of a nasopharyngeal swab and were included in the study. Composite adverse maternal outcome was observed in 47/388 (12.1%) women; 43 (11.1%) women were admitted to the ICU, 36 (9.3%) required mechanical ventilation and three (0.8%) died. Of the 388 women included in the study, 122 (31.4%) were still pregnant at the time of data analysis. Among the other 266 women, six (19.4% of the 31 women with first-trimester infection) had miscarriage, three (1.1%) had termination of pregnancy, six (2.3%) had stillbirth and 251 (94.4%) delivered a liveborn infant. The rate of preterm birth before 37 weeks' gestation was 26.3% (70/266). Of the 251 liveborn infants, 69/251 (27.5%) were admitted to the neonatal ICU, and there were five (2.0%) neonatal deaths. The overall rate of perinatal death was 4.1% (11/266). Only one (1/251, 0.4%) infant, born to a mother who tested positive during the third trimester, was found to be positive for SARS-CoV-2 on RT-PCR. Conclusions: SARS-CoV-2 infection in pregnant women is associated with a 0.8% rate of maternal mortality, but an 11.1% rate of admission to the ICU. The risk of vertical transmission seems to be negligible. © 2020 International Society of Ultrasound in Obstetrics and Gynecology. © 2020 International Society of Ultrasound in Obstetrics and Gynecology

Due to a technical error, the author list at the end of this article is unfortunately incorrect. Elif Gül Yapar Eyi is not a co-author, and therefore, his name and affiliation should not appear in the list. The correct author list and affiliations read as follows: Daniele Di Mascio, Cihat Sen, Gabriele Saccone, Alberto Galindo, Amos Grünebaum, Jun Yoshimatsu, Milan Stanojevic, AsimKurjak, Frank Chervenak, María Jos´e Rodríguez Suárez, Zita Maria Gambacorti-Passerini, María de los Angeles Anaya Baz, Esther Vanessa Aguilar Galán, Yolanda Cuñarro López, Juan Antonio De León Luis, Ignacio Cueto Hernández, Ignacio Herraiz, Cecilia Villalain, Roberta Venturella, Giuseppe Rizzo, Ilenia Mappa, Giovanni Gerosolima, Lars Hellmeyer, Josefine Königbauer, Giada Ameli, Tiziana Frusca, Nicola Volpe, Giovanni Battista Luca Schera, Stefania Fieni, Eutalia Esposito, Giuliana Simonazzi, Gaetana Di Donna, Aly Youssef, Anna Nunzia Della Gatta, Mariano Catello Di Donna, Vito Chiantera, Natalina Buono, Giulio Sozzi, Pantaleo Greco, Danila Morano, Beatrice Bianchi, Maria Giulia Lombana Marino, Federica Laraud, Arianna Ramone, Angelo Cagnacci, Fabio Barra, Claudio Gustavino, Simone Ferrero, Fabio Ghezzi, Antonella Cromi, Antonio Simone Laganá, Valentina Laurita Longo, Francesca Stollagli, Angelo Sirico, Antonio Lanzone, Lorenza Driul, Fabiana Cecchini D, Serena Xodo, Brian Rodriguez, Felipe Mercado-Olivares, Deena Elkafrawi, Giovanni Sisti, Rosanna Esposito, Antonio Coviello, Marco Cerbone, Maddalena Morlando, Antonio Schiattarella, Nicola Colacurci, Pasquale De Franciscis, Ilaria Cataneo, Marinella Lenzi, Fabrizio Sandri, Riccardo Buscemi, Giorgia Gattei, Francesca della Sala, Eleonora Valori, Maria Cristina Rovellotti, Elisa Done, Gilles Faron, Leonardo Gucciardo, Valentina Esposito, Flaminia Vena, Antonella Giancotti, Roberto Brunelli, Ludovico Muzii, Luigi Nappi, Felice Sorrentino, Lorenzo Vasciaveo, Marco Liberati, Danilo Buca, Martina Leombroni, Francesca Di Sebastiano, Luciano Di Tizio, Diego Gazzolo, Massimo Franchi, Quintino Cesare Ianniciello, Simone Garzon, Giuliano Petriglia, Leonardo Borrello, Albaro Jos´e Nieto-Calvache, Juan Manuel Burgos-Luna, Caroline Kadji, Andrew Carlin, Elisa Bevilacqua, Marina Moucho, Pedro Viana Pinto, Rita Figueiredo, Jos´e Morales Roselló, Gabriela Loscalzo, Alicia Martinez-Varea, Vincente Diago, Jesús S Jimenez Lopez, Alicia Yeliz Aykanat, Stefano Cosma, Andrea Carosso, Chiara Benedetto, Amanda Bermejo, Otto Henrique May Feuerschuette, Ozlem Uyaniklar, Sakine Rahimli Ocakouglu, Zeliha Atak, Reyhan Gündüz, Esra Tustas Haberal, Bernd Froessler, Anupam Parange, Peter Palm, Igor Samardjiski, Chiara Taccaliti, Erhan Okuyan, George Daskalakis, Renato Augusto Moreira de Sa, Alejandro Pittaro, Maria Luisa Gonzalez-Duran, Ana Concheiro Guisan, Serife Özlem Genç, Blanka Zlatohlávková, Anna Luengo Piqueras, Dolores Esteban Oliva, Aylin Pelin Cil, Olus Api, Panos Antsaklis, Liana Ples, Ioannis Kyvernitakis, Holger Maul, Marcel Malan, Albert Lila, Roberta Granese, Alfredo Ercoli, Giuseppe Zoccali, Andrea Villasco, Nicoletta Biglia, Ciuhodaru Madalina, Elena Costa, Caroline Daelemans, Axelle Pintiaux, Elisa Cueto, Eran Hadar, Sarah Dollinger, Noa A. Brzezinski Sinai, Erasmo Huertas, Pedro Arango, Amadeo Sanchez, Javier Alfonso Schvartzman, Liviu Cojocaru, Sifa Turan, Ozhan Turan, Maria Carmela Di Dedda, Rebeca Garrote Molpeceres, Snezana Zdjelar, Tanja Premru-Srsen, Lilijana Kornhauser Cerar, Mirjam Druškovic, Valentina De Robertis, Vedran Stefanovic, Irmeli Nupponen, Kaisa Nelskylä, Zulfiya Khodjaeva, Ksenia A. Gorina, Gennady T. Sukhikh, Giuseppe Maria Maruotti, Silvia Visentin, Erich Cosmi, Jacopo Ferrari, Alessandra Gatti, Daniela Luvero, Roberto Angioli, Ludovica Puri, Marco Palumbo, Giusella D’Urso, Francesco Colaleo, Agnese Maria Chiara Rapisarda, Ilma Floriana Carbone, Antonio Mollo, Giovanni Nazzaro, Mariavittoria Locci, Maurizio Guida, Attilio Di Spiezio Sardo, Pierluigi Benedetti Panici, Vincenzo Berghella, Maria Elena Flacco, Lamberto Manzoli, Giuseppe Bifulco, Giovanni Scambia, Fulvio Zullo and Francesco D’Antonio Flaminia Vena, Antonella Giancotti, Roberto Brunelli, Ludovico Muzii and Pierluigi Benedetti Panici, Department of Maternal and Child Health and Urological Sciences, Sapienza University of Rome, Rome, Italy Rosanna Esposito, Antonio Coviello, Marco Cerbone, Giuseppe Maria Maruotti, Giovanni Nazzaro, Mariavittoria Locci, Maurizio Guida, Attilio Di Spiezio Sardo, Giuseppe Bifulco and Fulvio Zullo, Department of Neuroscience, Reproductive Sciences and Dentistry, School of Medicine, University of Naples Federico II, Naples, Italy Ignacio Herraiz and Cecilia Villalain, Department of Obstetrics and Gynaecology, Fetal Medicine Unit, Maternal and Child Health and Development Network, University Hospital 12 de Octubre, Complutense University of Madrid, Madrid, Spain María Jos´e Rodríguez Suárez, Hospital Universitario Central de Asturias, Asturias, Spain Zita Maria Gambacorti-Passerini, Department of Obstetrics and Gynaecology, Ciudad Real University General Hospital, Ciudad Real, Spain María de los Angeles Anaya Baz and Esther Vanessa Aguilar Galán, Department of Obstetrics and Gynaecology, Ciudad Real University General Hospital, Ciudad Real, Spain; University of Castilla-La Mancha, Ciudad Real, Spain Yolanda Cuñarro López, Juan Antonio De León Luis and Ignacio Cueto Hernández, Department of Obstetrics and Gynaecology, Fetal Medicine Unit, Maternal and Child Health and Development Network, Gregorio Marañón Hospital, Complutense University of Madrid, Madrid, Spain Roberta Venturella, Department of Obstetrics and Gynaecology, School of Medicine, Magna Graecia University of Catanzaro, Catanzaro, Italy Giuseppe Rizzo, University of Roma Tor Vergata, Division of Maternal Fetal Medicine, Ospedale Cristo Re Roma, Rome, Italy; Department of Obstetrics and Gynaecology, The First I.M. Sechenov Moscow State Medical University, Moscow, Russia Ilenia Mappa, University of Roma Tor Vergata, Division of Maternal Fetal Medicine, Ospedale Cristo Re Roma, Rome, Italy Giovanni Gerosolima, Department of Obstetrics and Gynaecology, Ospedale AOSG Moscati, Avellino, Italy Lars Hellmeyer, Josefine Königbauer and Giada Ameli, Department of Gynaecology and Obstetrics, Vivantes Klinikum im Friedrichshain, Berlin, Germany Tiziana Frusca, Nicola Volpe, Giovanni Battista Luca Schera and Stefania Fieni, Department of Obstetrics and Gynaecology, University of Parma, Parma, Italy Eutalia Esposito, Department of Obstetrics and Gynaecology, Ospedale di San Leonardo, Castellammare di Stabia, Italy Giuliana Simonazzi, Gaetana Di Donna, Aly Youssef and Anna Nunzia Della Gatta, Department of Obstetrics and Gynaecology, University of Bologna, Sant’Orsola- Malpighi University Hospital, Bologna, Italy Mariano Catello Di Donna, Vito Chiantera, Natalina Buono and Giulio Sozzi, Department of Gynaecologic Oncology, University of Palermo, Palermo, Sicilia, Italy Pantaleo Greco, Danila Morano, Beatrice Bianchi and Maria Giulia Lombana Marino, Department ofMedical Sciences, Section of Obstetrics and Gynaecology, Azienda Ospedaliera-Universitaria Sant’Anna, University of Ferrara, Ferrara, Italy Federica Laraud, Arianna Ramone, Angelo Cagnacci, Fabio Barra, Claudio Gustavino and Simone Ferrero, Academic Unit of Obstetrics and Gynaecology, IRCCS Ospedale Policlinico, San Martino, Genova, Italy Fabio Ghezzi, Antonella Cromi and Antonio Simone Laganà, Department of Obstetrics and Gynaecology, “Filippo Del Ponte” Hospita University of Insubria, Varese, Italy Valentina Laurita Longo, Department of Obstetrics and Gynaecology, Fondazione Policlinico Universitario A Gemelli IRCCS – Università Cattolica del Sacro Cuore, Rome, Italy; Istituto di Clinica Ostetrica e Ginecologica, Università Cattolica del Sacro Cuore, Rome, Italy; and Queen Margaret University, Institute for Global Health and Development, Edinburgh, UK Francesca Stollagli and Ludovica Puri, Istituto di Clinica Ostetrica e Ginecologica, Università Cattolica del Sacro Cuore, Rome, Italy Angelo Sirico and Giovanni Scambia, Department of Obstetrics and Gynaecology, Fondazione Policlinico Universitario A Gemelli IRCCS – Università Cattolica del Sacro Cuore, Rome, Italy Antonio Lanzone, Department of Obstetrics and Gynaecology, Fondazione Policlinico Universitario A Gemelli IRCCS – Università Cattolica del Sacro Cuore, Rome, Italy; Istituto di Clinica Ostetrica e Ginecologica, Università Cattolica del Sacro Cuore, Rome, Italy Lorenza Driul, Fabiana Cecchini D and Serena Xodo, Clinic of Obstetrics and Gynaecology, University of Udine, Udine, Italy Brian Rodriguez, Felipe Mercado-Olivares, Deena Elkafrawi and Giovanni Sisti, Department of Obstetrics and Gynaecology, New York Health and Hospitals/Lincoln Bronx, The Bronx, NY, USA Maddalena Morlando, Antonio Schiattarella, Nicola Colacurci and Pasquale De Franciscis, Department of Woman, Child and General and Specialized Surgery, University of Campania Luigi Vanvitelli, Naples, Italy Ilaria Cataneo, Marinella Lenzi and Fabrizio Sandri, Unit of Obstetrics and Gynaecology, Ospedale Maggiore, Bologna, Italy Riccardo Buscemi, Giorgia Gattei, Francesca della Sala and Maria Cristina Rovellotti, Department of Translational Medicine, University of Eastern Piedmont, Novara, Italy Eleonora Valori, Department of Translational Medicine, University of Eastern Piedmont, Novara, Italy; Hospital Castelli, Verbania, Italy Elisa Done, Gilles Faron and Leonardo Gucciardo, UZ Brussel, Universitair Ziekenhuis, Brussel, Belgium Valentina Esposito, University of Milan, Milan, Italy Luigi Nappi, Felice Sorrentino and Lorenzo Vasciaveo, Department of Obstetrics and Gynaecology, Department of Medical and Surgical Sciences, University of Foggia, Foggia, Italy. © 2021 De Gruyter. All rights reserved.

In the present paper a mathematical model able to reproduce the mechanical response of a shape memory alloy (SMA) helical spring is presented. The proposed model is based on a simplified but effective theory of the helix that assumes small strains and large displacements. The kinematics of the helix and the related generalized strain measures are introduced, with stress resultants conjugated to them and the corresponding equilibrium equations of the curved beam. A specific constitutive law for this structural model is then presented for the SMA material, which accounts for the phase transformation due to the coupling of the shear and axial strains and to the effect of the temperature variation as well. Then, a numerical procedure, based on the backward Euler time integration algorithm and the prediction-correction technique for solving the nonlinear time step, is developed. Several numerical applications are presented to assess the reliability of the proposed SMA helix model and the implemented numerical procedure, and to investigate the response of the helix. Initially, the behavior of a circular SMA cross-section is studied, comparing the results obtained by the proposed modeling approach with the ones carried out by finite element analyses. Then, the helix structural element is considered and results are again compared with finite element outcomes. Finally, a sensitivity analysis is performed varying the pitch of the helix.

In the field of impact response of thermoplastic reinforced composites, several investigations about material behaviour in terms of delamination, indentation and fracture mechanism were conducted. Although a significant influence of the polymer temperature on the overall material impact response is expected, a limited number of studies are available in this regard. Most of the available scientific evidence concerns thermosetting composites and thermoplastic composites response only at room temperature. In particular, the purpose of this contribution is to better understand the dissipation mechanisms involved in thermoplastic reinforced composite under impact conditions for different temperatures. Starting from the few available literature data about the modelling of the problem, the aim of the present work is the development of a numerical approach able to reproduce the experimentally tested conditions. An experimental campaign on hot pressed polyamide 6 /basalt plain fabric laminates impact was selected as the benchmark for the numerical approach. The laminates impact response at increasing values of impact energy between 5J and 30J were simulated under three temperature conditions set around the polymer transition temperature (40°C, 80°C and 100°C). By validating the overall numerical model response on the room temperature experiment, considerations about the magnitude of viscous dissipation and its influence, for the different tested temperatures and in function of the adopted lamination technology, were made.

Background In cardiac amyloidosis the application of Speckle Tracking Echocardiography allows to identify a specific left ventricular (LV) longitudinal strain (LS) pattern characterized by “apical sparing”, with a prominent involvement of basal and middle segments and normal LS of apical cap. The pattern of regional LS has been never investigated in monoclonal gammopathy of undetermined significance (MGUS), a condition which can predispose to cardiac amyloidosis. Purpose To compare LV regional LS patterns and LS base-to-apex behaviour of patients affected by MGUS in comparison with healthy subjects. Methods We enrolled 40 patients affected by MGUS (M/F=20/20; age 62.6±13.8 years), asymptomatic for cardiac symptoms, and a control group of 40 healthy subjects, matched for sex and age. Nineteen (47%) MGUS patients showed prevalent free K light chain and 21 (53%) had prevalent free λ light chain. Participants underwent standard echo-Doppler exam, including Speckle Tracking of the three apical views. Global longitudinal strain (GLS), the average LS of six basal (BLS), six middle (MLS), and six apical (ALS) segments (considered in absolute values) and relative regional strain ratio RRSR [=ALS/(BLS+MLS)] were computed. Exclusion criteria were overt heart failure, LV ejection fraction Results The two groups were comparable for body mass index, blood pressure and heart rate. LV mass index, relative wall thickness, left atrial volume index and Doppler-derived LV diastolic parameters did not differ significantly between the two groups. LV ejection fraction was also similar in MGUS and healthy controls. GLS resulted significantly lower in MGUS group than in controls (20.5±3.0 vs. 22.4±2.0%, p1. The figure depicts a LS bull'eye of a MGUS patient showing the prominent involvement of LV basal segments. Conclusions In presence of a normal LV ejection fraction, MGUS patients show a subclinical LV longitudinal systolic dysfunction. This is testified by a reduction of GLS and of regional LS which involves mainly LV basal segments, without substantial changes of relative regional strain ratio. LV regional longitudinal dysfunction could be useful to monitor LV myocardial mechanics during follow-up of MGUS patients. LS bull's eye in a MGUS patient Funding Acknowledgement Type of funding source: None

The foraging success of orb-web spiders depends primarily on the structure and maintenance of their webs. The purpose of this study was to examine how the presence and degree of web damage affected web-building responses in Zygiella x-notata. Part 1 of the study investigated the severity of damage with: a control, a partial web damage group, and a complete web damage group. Part 2 investigated frequency of damage over a 5-day period with: a control group, an infrequent web damage group, and a frequent web damage group. Four spiders were allocated randomly to each experimental group, and four trials for each were conducted. Results suggested that spiders were unlikely to relocate, regardless of the type of web damage that occurred. Web sizes exhibited a decreasing trend for all experimental groups after web damage, except for controls and partial damage groups, with the largest decreases seen in frequent and complete damage groups. Anchor thread count increased after partial and complete damage; however, it decreased after damage in both repetitive web damage groups. Overall, these preliminary findings suggest that web-building spiders will likely rebuild instead of relocate in areas where damage occurs to their webs. When the damage is partial and non-repetitive, they expend more energy repairing and reinforcing their webs. However, when faced with repetitive and complete damage, their behavior is an adaptation to reduce the amount of energy expended in web repair.

DNA methylation is a fundamental epigenetic modification regulating gene expression. Aberrant DNA methylation is the most common molecular lesion in cancer cells. However, medical intervention has been limited to the use of broadly acting, small molecule-based demethylating drugs with significant side-effects and toxicities. To allow for targeted DNA demethylation, we integrated two nucleic acid-based approaches: DNMT1 interacting RNA (DiR) and RNA aptamer strategy. By combining the RNA inherent capabilities of inhibiting DNMT1 with an aptamer platform, we generated a first-in-class DNMT1-targeted approach – aptaDiR. Molecular modelling of RNA-DNMT1 complexes coupled with biochemical and cellular assays enabled the identification and characterization of aptaDiR. This RNA bio-drug is able to block DNA methylation, impair cancer cell viability and inhibit tumour growth in vivo. Collectively, we present an innovative RNA-based approach to modulate DNMT1 activity in cancer or diseases characterized by aberrant DNA methylation and suggest the first alternative strategy to overcome the limitations of currently approved non-specific hypomethylating protocols, which will greatly improve clinical intervention on DNA methylation.

Autobiographical memory studies conducted with narrative methods are onerous, requiring significant resources in time and labor. We have created a semi-automated process that allows autobiographical transcribing and scoring methods to be streamlined. Our paper focuses on the Autobiographical Interview (AI; Levine, Svoboda, Hay, Winocur,Moscovitch, Psychology and Aging, 17, 677-89, 2002), but this method can be adapted for other narrative protocols. Specifically, here we lay out a procedure that guides researchers through the four main phases of the autobiographical narrative pipeline: (1) data collection, (2) transcribing, (3) scoring, and (4) analysis. First, we provide recommendations for incorporating transcription software to augment human transcribing. We then introduce an electronic scoring procedure for tagging narratives for scoring that incorporates the traditional AI scoring method with basic keyboard shortcuts in Microsoft Word. Finally, we provide a Python script that can be used to automate counting of scored transcripts. This method accelerates the time it takes to conduct a narrative study and reduces the opportunity for error in narrative quantification. Available open access on GitHub ( https://github.com/cMadan/scoreAI ), our pipeline makes narrative methods more accessible for future research.

Organogels are semi-solid systems with an organic liquid phase immobilized by a three-dimensional network composed of self-assembled, crosslinked or entangled gelator fibers. Organogel applications are various, including chemistry, pharmaceuticals, cosmetics, biotechnologies and food technology. In pharmacology, they are used as drug and vaccine delivery platforms for active ingredients via diverse routes such as transdermal, oral and parenteral. In a close past, their uses as drug delivery systems have been unfortunately hampered by the toxicity of the selected organic solvents. More recently, the synthesis of more biocompatible organogels has strengthened the development of several biomedical and pharmaceutical applications. This review provides a global view of organogels, such as nature, syntheses, characterizations and properties. An emphasis is placed on the most recent technologies used in the design of organogels as potential controlled delivery systems. A particular attention is provided to their newest therapeutic applications.