Photonic effects in the non-equilibrium optical response of two-dimensional semiconductors.

Transient absorption spectroscopy is a powerful tool to monitor the out-of-equilibrium optical response of photoexcited semiconductors. When this method is applied to two-dimensional semiconductors deposited on different substrates, the excited state optical properties are inferred from the pump-induced changes in the transmission/reflection of the probe, i.e., ΔT/T or ΔR/R. Transient optical spectra are often interpreted as the manifestation of the intrinsic optical response of the monolayer, including effects such as the reduction of the exciton oscillator strength, electron-phonon coupling or many-body interactions like bandgap renormalization, trion or biexciton formation. Here we scrutinize the assumption that one can determine the non-equilibrium optical response of the TMD without accounting for the substrate used in the experiment. We systematically investigate the effect of the substrate on the broadband transient optical response of monolayer MoS2 (1L-MoS2) by measuring ΔT/T and ΔR/R with different excitation photon energies. Employing the boundary conditions given by the Fresnel equations, we analyze the transient transmission/reflection spectra across the main excitonic resonances of 1L-MoS2. We show that pure interference effects induced by the different substrates explain the substantial differences (i.e., intensity, peak energy and exciton linewidth) observed in the transient spectra of the same monolayer. We thus demonstrate that the substrate strongly affects the magnitude of the exciton energy shift and the change of the oscillator strength in the transient optical spectra. By highlighting the key role played by the substrate, our results set the stage for a unified interpretation of the transient response of optoelectronic devices based on a broad class of TMDs.

Towards a Characterization of Late Talkers: The Developmental Profile of Children with Late Language Emergence through a Web-Based Communicative-Language Assessment.

Children acquire language naturally, but there is variation in language acquisition patterns. Indeed, different internal and external variables play a role in acquiring language. However, there are open research questions about the contribution of different variables to language development. Moreover, with societal changes and due to the pandemic situation, there has been a growing interest in testing digitalization related to indirect language acquisition assessment. In this study, a web-based assessment survey was developed to (1) describe the relation between expressive vocabulary, Socio-Conversational Skills (SCS), gender, parental education, executive functions (EFs), and pretend play; (2) determine whether the survey can detect differences between late talkers (LTs) and children with typical language development; (3) identify children with "overall high" and "overall low" communicative-language scores to test the validity of expressive vocabulary as a main indicator to detect LTs. The parents of 108 Italian children (51 males) aged 24-36 months participated in the study. The results showed that expressive vocabulary correlates with measures of SCS (assertiveness and responsiveness) and is reliable in identifying LTs (d = 2.73). Furthermore, SCS and EFs contribute to better characterizing the developmental profile of children aged 24-36 months.

Real-Time Oil Leakage Detection on Aftermarket Motorcycle Damping System with Convolutional Neural Networks.

In this work, we describe in detail how Deep Learning and Computer Vision can help to detect fault events of the AirTender system, an aftermarket motorcycle damping system component. One of the most effective ways to monitor the AirTender functioning is to look for oil stains on its surface. Starting from real-time images, AirTender is first detected in the motorbike suspension system, simulated indoor, and then, a binary classifier determines whether AirTender is spilling oil or not. The detection is made with the help of the Yolo5 architecture, whereas the classification is carried out with the help of a suitably designed Convolutional Neural Network, OilNet40. In order to detect oil leaks more clearly, we dilute the oil in AirTender with a fluorescent dye with an excitation wavelength peak of approximately 390 nm. AirTender is then illuminated with suitable UV LEDs. The whole system is an attempt to design a low-cost detection setup. An on-board device, such as a mini-computer, is placed near the suspension system and connected to a full hd camera framing AirTender. The on-board device, through our Neural Network algorithm, is then able to localize and classify AirTender as normally functioning (non-leak image) or anomaly (leak image).

Language production impairments in patients with a first episode of psychosis.

Language production has often been described as impaired in psychiatric diseases such as in psychosis. Nevertheless, little is known about the characteristics of linguistic difficulties and their relation with other cognitive domains in patients with a first episode of psychosis (FEP), either affective or non-affective. To deepen our comprehension of linguistic profile in FEP, 133 patients with FEP (95 non-affective, FEP-NA; 38 affective, FEP-A) and 133 healthy controls (HC) were assessed with a narrative discourse task. Speech samples were systematically analyzed with a well-established multilevel procedure investigating both micro- (lexicon, morphology, syntax) and macro-linguistic (discourse coherence, pragmatics) levels of linguistic processing. Executive functioning and IQ were also evaluated. Both linguistic and neuropsychological measures were secondarily implemented with a machine learning approach in order to explore their predictive accuracy in classifying participants as FEP or HC. Compared to HC, FEP patients showed language production difficulty at both micro- and macro-linguistic levels. As for the former, FEP produced shorter and simpler sentences and fewer words per minute, along with a reduced number of lexical fillers, compared to HC. At the macro-linguistic level, FEP performance was impaired in local coherence, which was paired with a higher percentage of utterances with semantic errors. Linguistic measures were not correlated with any neuropsychological variables. No significant differences emerged between FEP-NA and FEP-A (p≥0.02, after Bonferroni correction). Machine learning analysis showed an accuracy of group prediction of 76.36% using language features only, with semantic variables being the most impactful. Such a percentage was enhanced when paired with clinical and neuropsychological variables. Results confirm the presence of language production deficits already at the first episode of the illness, being such impairment not related to other cognitive domains. The high accuracy obtained by the linguistic set of features in classifying groups support the use of machine learning methods in neuroscience investigations.

Only Words Count; the Rest Is Mere Chattering: A Cross-Disciplinary Approach to the Verbal Expression of Emotional Experience.

The analysis of sequences of words and prosody, meter, and rhythm provided in an interview addressing the capacity to identify and describe emotions represents a powerful tool to reveal emotional processing. The ability to express and identify emotions was analyzed by means of the Toronto Structured Interview for Alexithymia (TSIA), and TSIA transcripts were analyzed by Natural Language Processing to shed light on verbal features. The brain correlates of the capacity to translate emotional experience into words were determined through cortical thickness measures. A machine learning methodology proved that individuals with deficits in identifying and describing emotions (n = 7) produced language distortions, frequently used the present tense of auxiliary verbs, and few possessive determiners, as well as scarcely connected the speech, in comparison to individuals without deficits (n = 7). Interestingly, they showed high cortical thickness at left temporal pole and low at isthmus of the right cingulate cortex. Overall, we identified the neuro-linguistic pattern of the expression of emotional experience.

The beauty of diversity in cognitive neuroscience: The case of sex-related effects in language production networks.

Over the past few decades, several studies have focused on potential sex-related differences in the trajectories of language development and functioning. From a behavioral point of view, the available literature shows controversial results: differences between males and females in language production tasks may not always be detectable and, even when they are, are potentially biased by sociological and educational confounding factors. The problem regarding potential sex-related differences in language production has also been investigated at the neural level, again with controversial results. The current minireview focuses on studies assessing sex-related differences in the neural networks of language production. After providing a theoretical framework of language production, it is shown that the few available investigations have provided mixed results. The major reasons for discrepant findings are discussed with theoretical and methodological implications for future studies.

Gastric and colonic metastasis from NSCLC: A very unusual case report.

RATIONALE: Lung cancer is the most common cause of cancer-related deaths worldwide. Approximately 50% of patients is metastatic at diagnosis and the most common metastatic sites are bone, lungs, brain, adrenal glands, liver, and extra thoracic lymph nodes. The occurrence of gastrointestinal metastasis from lung carcinoma is rare and seems more commonly related to small cell lung cancer compared to non-small cell lung cancer (NSCLC). PATIENT INFORMATION AND DIAGNOSIS: A 78-year-old man with completely surgically resected NSCLC and no initial evidence of distant metastases developed colon and gastric metastases 7 months after diagnosis, confirmed by serial radiological examinations and endoscopic biopsies. INTERVENTIONS: The patient was subjected to total gastrectomy with D2 lymph node dissection plus partial colectomy for intraoperative detection of a transverse colon neoformation. Subsequent instrumental imaging showed bilateral lung tumor recurrence, treated with gemcitabine monotherapy for 8 months as first line chemotherapy for lung adenocarcinoma. RESULTS: The patient presented complete response to therapy and was disease-free for 4 years. LESSONS: Colonic and gastric metastasis are very infrequent in NSCLC. The resection of gastrointestinal metastasis may provide benefits in terms of both symptom control and survival in patients properly selected.

Gross, Fine and Visual-Motor Skills in Children with Language Disorder, Speech Sound Disorder and Their Combination.

Increasing evidence shows that children with Communication Disorders (CDs) may show gross, fine, and visual-motor difficulties compared to children with typical development. Accordingly, the present study aims to characterize gross, fine and visual-motor skills in children with CDs, distinguishing children with CDs into three subgroups, i.e., with Language Disorders (LD), Speech Sound Disorders (SSD), and LD + SSD. In Experiment 1, around 60% of children with CDs (4 to 7 years; 21 with LD, 36 with SSD, and 90 with LD + SSD) showed clinical/borderline scores in balance skills, regardless of the type of communication deficit. However, children with LD, SSD, and LD + SSD did not differ in gross and fine motor skills. In Experiment 2, a higher percentage of children with CDs (4 to 7 years; 34 with LD, 62 with SSD, 148 with LD + SSD) obtained clinical/borderline scores in Visual Perception skills. Moreover, children with LD + SSD performed significantly worsen in Visual Perception and Fine Motor Coordination skills compared to children with SSD only. Our results underlined that CDs are generally associated with gross motor difficulties and that visual-motor difficulties are related to the type of communication deficit. Paying earlier attention to the motor skills of children with CDs could help clinicians design effective interventions.

The anti-IgE monoclonal antibody omalizumab as adjuvant treatment in desensitization to carboplatin in patients with ovarian cancer.

•Ovarian cancer is the most lethal among gynecological cancers.•Carboplatin-based chemotherapy identifies as the main systemic treatment for ovarian cancer patients.•Almost one every three patients treated with carboplatin experiences hypersensitivity reactions.•Patients may experience breakthrough reactions during drug desensitization.•Omalizumab represents a promising new treatment to overcome carboplatin hypersensitivity.

Subpicosecond metamagnetic phase transition in FeRh driven by non-equilibrium electron dynamics.

Femtosecond light-induced phase transitions between different macroscopic orders provide the possibility to tune the functional properties of condensed matter on ultrafast timescales. In first-order phase transitions, transient non-equilibrium phases and inherent phase coexistence often preclude non-ambiguous detection of transition precursors and their temporal onset. Here, we present a study combining time-resolved photoelectron spectroscopy and ab-initio electron dynamics calculations elucidating the transient subpicosecond processes governing the photoinduced generation of ferromagnetic order in antiferromagnetic FeRh. The transient photoemission spectra are accounted for by assuming that not only the occupation of electronic states is modified during the photoexcitation process. Instead, the photo-generated non-thermal distribution of electrons modifies the electronic band structure. The ferromagnetic phase of FeRh, characterized by a minority band near the Fermi energy, is established 350 ± 30 fs after the laser excitation. Ab-initio calculations indicate that the phase transition is initiated by a photoinduced Rh-to-Fe charge transfer.

Developmental Language Disorder: Early Predictors, Age for the Diagnosis, and Diagnostic Tools. A Scoping Review.

BACKGROUND: Developmental Language Disorder (DLD) is frequent in childhood and may have long-term sequelae. By employing an evidence-based approach, this scoping review aims at identifying (a) early predictors of DLD; (b) the optimal age range for the use of screening and diagnostic tools; (c) effective diagnostic tools in preschool children. METHODS: We considered systematic reviews, meta-analyses, and primary observational studies with control groups on predictive, sensitivity and specificity values of screening and diagnostic tools and psycholinguistic measures for the assessment of DLD in preschool children. We identified 37 studies, consisting of 10 systematic reviews and 27 primary studies. RESULTS: Delay in gesture production, receptive and/or expressive vocabulary, syntactic comprehension, or word combination up to 30 months emerged as early predictors of DLD, a family history of DLD appeared to be a major risk factor, and low socioeconomic status and environmental input were reported as risk factors with lower predictive power. Optimal time for screening is suggested between age 2 and 3, for diagnosis around age 4. Because of the high variability of sensitivity and specificity values, joint use of standardized and psycholinguistic measures is suggested to increase diagnostic accuracy. CONCLUSIONS: Monitoring risk situations and employing caregivers' reports, clinical assessment and multiple linguistic measures are fundamental for an early identification of DLD and timely interventions.

Beyond Conventional: The New Horizon of Targeted Therapy for the Treatment of Advanced Non Small Cell Lung Cancer.

In the last few years the advent of targeted therapies against oncogenic drivers significantly improved the survival of non small cell lung cancer (NSCLC) patients with a favourable toxicity profile. Therefore, genetic testing, including at least EGFR mutations and ALK/ROS1 rearrangements, should be performed in all NSCLC patients (in particular with adenocarcinoma) who received a diagnosis of advanced disease. This review focuses on novel druggable oncogenic drivers, such as MET exon 14 mutations/MET amplification, RET fusions, BRAF V600E mutations, KRAS G12C mutations, NTRK rearrangements, and HER2 alterations.

Endocrine-related adverse events in a large series of cancer patients treated with anti-PD1 therapy.

PURPOSE: Immune checkpoint inhibitors have opened a new scenario in the treatment of cancer. These agents can elicit adverse events, which may affect different systems and organs, including the endocrine system. The aims of this study were to evaluate the impact of the anti-PD-1 molecules nivolumab and pembrolizumab on endocrine toxicity and on patient outcome. METHODS: A retrospective and multicentre study was designed, which involved a total of 251 patients affected by different tumors (mostly non-small cell lung cancer, 68.92% and melanoma, 24.30%) and treated with the PD-1 inhibitors nivolumab (61.35%) or pembrolizumab (38.65%) for up to 60 months. Clinical and biochemical data were recorded until July 31, 2020. RESULTS: Endocrine toxicity occurred in 70 out of 251 patients (27.89%). It was mostly related to thyroid dysfunction and in 75% of cases occurred within 6 months from the beginning of therapy. A previous endocrine morbidity and female gender were predictors of endocrine toxicity. There was no association between endocrine dysfunction and patient outcome. However, when all toxicities (i.e., endocrine and non endocrine) were considered, a significant association with progression-free survival and overall survival was found. CONCLUSIONS: Thyroid alterations are frequently observed in cancer patients treated with anti PD-1 drugs, particularly in women and in the presence of a previous endocrinopathy. We suggest that regular thyroid assessment should be performed in these patients, especially in the first months of therapy. Finally, the onset of side effects, related to anti PD-1 agents, appears to be associated with a better outcome.

Non-linear self-driven spectral tuning of Extreme Ultraviolet Femtosecond Pulses in monoatomic materials.

Self-action nonlinearity is a key aspect - either as a foundational element or a detrimental factor - of several optical spectroscopies and photonic devices. Supercontinuum generation, wavelength converters, and chirped pulse amplification are just a few examples. The recent advent of Free Electron Lasers (FEL) fostered building on nonlinearity to propose new concepts and extend optical wavelengths paradigms for extreme ultraviolet (EUV) and X-ray regimes. No evidence for intrapulse dynamics, however, has been reported at such short wavelengths, where the light-matter interactions are ruled by the sharp absorption edges of core electrons. Here, we provide experimental evidence for self-phase modulation of femtosecond FEL pulses, which we exploit for fine self-driven spectral tunability by interaction with sub-micrometric foils of selected monoatomic materials. Moving the pulse wavelength across the absorption edge, the spectral profile changes from a non-linear spectral blue-shift to a red-shifted broadening. These findings are rationalized accounting for ultrafast ionization and delayed thermal response of highly excited electrons above and below threshold, respectively.

Gambling disorder and dissociative features: A systematic review and meta-analysis.

OBJECTIVE: Multilevel consequences related to gambling disorder (GD) are glaring enough to make gambling a worldwide public health issue. Dissociation has been pointed out in clinical, empirical, and theoretical contributions as a key variable accounting for the development and maintenance of GD. However, we still lack a systematization of available empirical data that may facilitate further accurate conclusions. METHOD: A systematic review and meta-analysis were performed with the goal to answer to open questions. We followed the PRISMA guidelines conducting a systematic search of 5 scientific databases (PsycINFO, PsycARTICLES, MEDLINE, Scopus, Web of Science, and PubMed) including grey literature. RESULTS: A total of 843 records were screened, and 20 studies were included in the qualitative and quantitative analyses. A systematic review of selected studies outlines the high heterogeneity in the operationalization of the dissociation construct as well as the absence of studies examining the role played by the specific dimensions of the pathological dissociative feature in GD. A significant, positive, and moderate effect size (r = .37) was found linking GD to dissociation. Moreover, this effect appears to not be moderated by the quality of studies, age, and gender of participants nor measures used to evaluate dissociation. CONCLUSIONS: Despite empirical evidences supporting the theoretical assertions toward the relationship between GD and dissociation, few studies have reached an articulated understanding of this topic, mostly failing to identify specific dissociative features involved in GD. Furthermore, the existence of the current gap in the literature are discussed to delineate future lines of research. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Self-projection in middle childhood: a study on the relationship between theory of mind and episodic future thinking.

Growing evidence suggests that theory of mind (ToM) and episodic future thinking (EFT) are closely related at both brain and functional level. This study explored the relationship between ToM and EFT in 96 Italian-speaking children with typical development aged between 8 and 10.11 using a behavioral design. ToM was assessed through an emotional facial expression recognition task. EFT was assessed with a task where participants were required to project themselves forward in time by anticipating future states of the self; this resulted in two scores: a nonverbal measure and a verbal explanation measure. Results showed that the participants' performance on the task assessing ToM correlated with and predicted the nonverbal measure of the EFT task. These findings are discussed in the light of theories suggesting that each of these abilities is governed by a common system devoted to self-projection.

Emotional Regulation and Overeating Behaviors in Children and Adolescents: A Systematic Review.

The worldwide prevalence of obesity has dramatically increased, mostly in children and adolescents. The Emotional Eating theoretical model has proposed that the failure in emotional regulation could represent a risk factor for establishing maladaptive overeating behavior that represents an inadequate response to negative emotions and allows increasing body-weight. This systematic review investigates the relationship between overeating and both emotional regulation and emotional intelligence in childhood and adolescence, considering both cross-sectional and longitudinal studies. Moreover, another goal of the review is evaluating whether emotional regulation and emotional intelligence can cause overeating behaviors. The systematic search was conducted according to the PRISMA-statement in the databases Medline, PsychArtcles, PsychInfo, PubMed, Scopus, and Web of Sciences, and allows 484 records to be extracted. Twenty-six studies were selected according to inclusion (e.g., studies focused on children and adolescents without clinical conditions; groups of participants overweight or with obesity) and exclusion (e.g., studies that adopted qualitative assessment or cognitive-affective tasks to measure emotional variables; reviews, commentary, or brief reports) criteria detailed in the methods. Cross-sectional studies showed a negative association between emotional regulation and overeating behavior that was confirmed by longitudinal studies. These findings highlighted the role of maladaptive emotion regulation on overeating and being overweight. The relationship between these constructs in children and adolescents was consistent. The results indicated the complexity of this association, which would be influenced by many physiological, psychological, and social factors. These findings underline the need for further studies focused on emotion regulation in the development of overeating. They should analyze the mediation role of other variables (e.g., attachment style, peer pressure) and identify interventions to prevent and reduce worldwide overweight prevalence.

Time-Dependent Screening Explains the Ultrafast Excitonic Signal Rise in 2D Semiconductors.

We calculate the time evolution of the transient reflection signal in an MoS2 monolayer on a SiO2/Si substrate using first-principles out-of-equilibrium real-time methods. Our simulations provide a simple and intuitive physical picture for the delayed, yet ultrafast, evolution of the signal whose rise time depends on the excess energy of the pump laser: at laser energies above the A- and B-exciton, the pump pulse excites electrons and holes far away from the K valleys in the first Brillouin zone. Electron-phonon and hole-phonon scattering lead to a gradual relaxation of the carriers toward small Active Excitonic Regions around K, enhancing the dielectric screening. The accompanying time-dependent band gap renormalization dominates over Pauli blocking and the excitonic binding energy renormalization. This explains the delayed buildup of the transient reflection signal of the probe pulse, in excellent agreement with recent experimental data. Our results show that the observed delay is not a unique signature of an exciton formation process but rather caused by coordinated carrier dynamics and its influence on the screening.

NEUTRON AND GAMMA ALBEDO EVALUATION AT AN IRRADIATION FACILITY.

The irradiation facility of the University of Pisa (UNIPI) is a neutron and gamma irradiation facility of the University of Pisa used for calibration purposes and to evaluate detectors and dosemeters for mixed neutron and gamma fields. The facility consists of a fairly large room (5.0 × 7.8 × 2.5 m3) with concrete walls and roof designed to minimise radiation scattering. Sealed neutron and gamma radionuclide sources are stored in the facility for calibration and test purposes. In order to perform accurate response measurements, this study applied a methodology of general validity to assess the neutron and gamma room scatter contributions (albedo) to the fluence and to the ambient dose equivalent rates. The assessment was done for the standard irradiation points of the facility, using detailed Monte Carlo simulations and considering several source-to-wall and source-to-detector distances.

Drivers' Braking Behavior Affected by Cognitive Distractions: An Experimental Investigation with a Virtual Car Simulator.

In this study, a cohort of 78 university students performed a driving experience in a virtual urban scenario, by means of a car driving simulator, to examine effects of a planned hands-free mobile phone conversation on young drivers' braking behaviors. To this aim, a control group was left free to drive without any imposed cognitive task. An experimental group faced the same scenario while engaged in a phone call. The conversation via earphones was arranged to diminish the amount of cognitive resources allocated to the driving task. For both groups, the analyses focused on the moment at which a child entered a pedestrian crossing from a sidewalk. The results of a mixed two-way ANOVA showed the presence of a significant difference for distracted and non-distracted drivers with the absence of gender-related differences across the two groups. Distracted participants assumed lower initial speeds, took the first action to stop at shorter distances from the zebra crossing, and had more difficulty in keeping speed variations under control. These findings suggest that the distraction induced by the use of earphones may induce risk compensation behaviors and delay pedestrian perception. Moreover, the effects on the participants' braking behavior suggest that the procedure adopted to increase cognitive load, based on a story retelling, is an effective method to analyze the impact of hands-free cellphone use on driving skills in a car simulation experiment.