Miracle-dz/UniFAR-FTUs huggingface dataset:
Fear and anxiety related to COVID-19 pandemic may predispose to perinatal depression in Italy

The COVID-19 pandemic situation significantly affected the mental health of the general and clinical population. However, few studies investigated which COVID-19-related psychopathological determinants may predispose to perinatal depression. We evaluated the impact of COVID-19 related anxiety and fear on perinatal depression in Italy. We retrospectively screened 184 perinatal outpatients afferent to Perinatal Mental Health outpatient service, during March 2020-March 2021, by administering the Edinburgh Postnatal Depression Scale (EPDS), the Fear of COVID-19 (FCV-19-S) and the Coronavirus Anxiety Scale (CAS). Among these, 85 patients agreed to be recruited in the present study. The mean EPDS score was 9.0, experiencing a clinically relevant perinatal depression in 45.7% of the sample. The mean FCV-19-S score was 15.0 and CAS was 1.7. Linear regression analyses demonstrated that FCV-19-S and CAS scores statistically significantly predicted EPDS total scores. A positive significant correlation was reported between FCV-19-S and EPDS and between CAS and EPDS. During the COVID-19 pandemic, women in their perinatal period, independently of previous psychiatric history, experienced increased levels of anxiety, fear and psychological distress, due to subsequent isolation, quarantine, lockdown and deprivation of their normal social support. Further preventive and screening strategies should be implemented in order to early identify at-risk pregnant and puerperal women during the COVID-19 pandemic.
Effectiveness of a hybrid digital substance abuse prevention approach combining e-Learning and in-person class sessions

Background Effective school-based programs for preventing substance abuse offer considerable public health potential. Yet limited class time and uneven implementation fidelity can be barriers to widespread adoption and high-quality implementation. A hybrid digital approach may be effective and help address these barriers. Objective To evaluate the effectiveness of a hybrid substance abuse prevention program for middle school students consisting of e-learning modules and in-person class sessions. Design Twenty-three United States (U.S.) middle schools were randomly assigned either to an intervention condition (13 schools) or a treatment-as-usual control condition (10 schools) where standard health education material was delivered. There were 1,447 participants who completed the pre-test and post-test assessments, of which 48.3% were male and 51.7% female. Intervention The hybrid digital intervention consisted of 14 brief e-learning modules and six classroom sessions adapted from an evidence-based program designed for classroom implementation to increase knowledge of adverse consequences of substance use and improve social skills, personal coping skills, and skills for resisting social influences to smoke, drink, or use drugs. Measures Participating students completed online pre-test and post-test surveys to assess substance use, knowledge, and life skills. Results There were significant reductions in substance use for the hybrid digital condition compared to the control condition as well as significant increases in health knowledge, skills knowledge, and life skills. Conclusions A hybrid digital approach to substance abuse prevention is effective and offers potential for overcoming common barriers to widespread adoption and high-quality implementation.
Design study of a HPGe detector array for β-decay investigation in laboratory ECR plasmas

In the frame of the PANDORA project, a new experimental approach aims at measuring in-plasma β-decay rate as a function of thermodynamical conditions of the environment, namely a laboratory magnetized plasma able to mimic some stellar-like conditions. The decay rates (expected to change dramatically as a function of the ionization state) will be measured as a function of the charge state distribution of the in-plasma ions. The new experimental approach aims at correlating the plasma environment and the decay rate. This can be performed by simultaneously identifying and discriminating—through an innovative multi-diagnostic system working synergically with a γ-ray detection system —the photons emitted by the plasma and γ-rays emitted after the isotope β-decay. In this study, the numerical simulations supporting the design of the γ-ray detector array, including a statistical significance study to check the feasibility of measuring the in-plasma decay rates, are presented. Geant4 simulations focused on the design of the array of γ-ray detectors and the evaluation of total efficiency depending on the detector type and the optimal displacement of detectors around the trap (including collimation systems and shielding). The simulation results showed that, due to technical limitations in the number of apertures that can be created in the magnetic trap, the best compromise is to use 14 HPGe (70% of relative efficiency) detectors surrounding the magnetic trap. The HPGe detectors were chosen for their excellent energy resolution (0.2% @ 1 MeV), since the harsh environment (the background is represented by the intense plasma self-emission) strongly affects the signal-to-background ratio. Once determined the total photopeak efficiency (0.1–0.2%), the sensitivity of the PANDORA experiment was checked in a “virtual experimental run,” by exploring the measurability of isotope decay rates for the first three physical cases of PANDORA: 176Lu, 134Cs and 94Nb. The preliminary results demonstrated the feasibility of the measurement in terms of the signal-to-background ratio and significance that it is possible to reach. The results indicated that experimental run durations could take from several days to 3 months, depending on the isotope under investigation, thus shedding new light on the role of weak interactions in stellar nucleosynthesis.
Response to unexpected social inclusion: A study using the cyberball paradigm

Background Dysfunctional expectations are considered core characteristics of Major Depressive Disorder (MDD) and should be focused in psychotherapy. Dysfunctional expectations are especially pronounced in the interpersonal area (social expectations). In the present study, we examine the effect of unexpected social inclusion (expectation violation) on the change of generalized and specific depression-typical social expectations. Method We conducted an online study to investigate the impact of social inclusion after a period of social exclusion (unexpected social inclusion) on social expectation change (sample size 144) in a non-clinical sample. Depressive symptoms were assessed via self-reporting. Participants took part in two rounds of the online ball-game Cyberball. In the first round, all participants were socially excluded by their two co-players (acquisition of negative social expectations). In the second round, participants were either once more excluded (expectation confirmation) or included equally (expectation violation) by the same co-players. Specific and generalized social expectations were assessed after each round. Results Specific and generalized social expectations increased following expectation violation. Even though depressive symptoms were related to lower levels of social expectations, we found that depressive symptoms did not moderate expectation change after positive expectation violations. Conclusions In the present experimental setup including the use of the online ball-game Cyberball, the establishment and change of social expectations can be experimentally manipulated. Under the given circumstances and in a non-clinical sample, negative expectations can be updated after unexpected positive experiences regardless of the number of depressive symptoms. The results are discussed in the context of current models of Major Depressive Disorder (MDD), expectation change, and cognitive behavioral therapy.
Effects of sacubitril/valsartan on life quality in chronic heart failure: A systematic review and meta-analysis of randomized controlled trials

Aims Sacubitril/valsartan has been demonstrated to have cardiovascular benefits in patients with chronic heart failure (CHF). We aimed to conduct a meta-analysis of its effects on life quality in patients with CHF, in comparison with the angiotensin-converting enzyme inhibitor/angiotensin receptor blocker (ACEI/ARB). Methods PubMed, Embase, Cochrane Central Register of Controlled Trials (CENTRAL), and ClinicalTrials.gov were searched from inception through March 2022 for all relevant randomized controlled trials assessing the impact of sacubitril/valsartan and ACEI/ARB on health-related quality of life (HRQoL) in patients with CHF. Two reviewers independently conducted study selection, data extraction, and assessment of bias and quality of evidence. Review Manager 5.3 software was used for meta-analysis. Results We included 10 clinical studies involving 10,426 patients with heart failure with reduced ejection fraction (HFrEF) and 7,689 patients with heart failure with preserved ejection fraction (HFpEF). Meta-analysis results showed that, in terms of the primary outcome, the sacubitril/valsartan group was superior than the ACEI/ARB group in improving HRQoL of HFrEF, and the difference was statistically significant (SMD 1.26; 95% CI: 0.14, 2.37; p = 0.03), while there was no significant difference between the two groups in HFpEF (SMD 0.37; 95% CI: −0.35, 1.09; p = 0.32). The effect of sacubitril/valsartan on the secondary outcome of the minimal important improvement rate of HRQoL in HFrEF was consistent with the primary outcome, while the effect in HFpEF was not clear. The descriptive analysis of individual studies indicated no significant difference in the improvement of 6-min walk distance between the two groups. Conclusion Sacubitril/valsartan is beneficial to improve HRQoL outcome in patients with HFrEF with high quality of evidence. Compared with ACEI/ARB, sacubitril/valsartan was more effective. While in patients with HFpEF, this improvement was similar between the two groups.
Gene therapy targeting inflammatory pericytes corrects angiopathy during diabetic wound healing

Wound healing is impaired in the diabetic status, largely attributable to diabetes-associated angiopathy. Pericytes play critical roles in the stabilization of the formed vessels. The loss and dysfunction of pericytes have been reported in inflammation during diabetes and associated with the pathology of diabetic angiopathy. However, a practical approach that targets inflammatory pericytes to improve diabetic wound healing is lacking. In the current study, we showed that the inflammatory pericytes from wound skin of diabetic patients were impaired in growth potential and underwent oxidative stress and apoptosis. Expression of antioxidant gene oxidation resistance protein 1 (OXR1) specifically in pericytes through an adenovirus carrying OXR1 under a pericyte-specific neuron glia antigen-2 (NG2) promoter (AV-NG2p-OXR1) relieved the oxidative stress, reduced the apoptosis, and recovered the growth potential in diabetic pericytes. Moreover, expression of OXR1 in diabetic pericytes retrieved their potential of both suppressing the migration of co-cultured HUVECs and inducing cell aggregates at the branching points, indicating a functional recovery. In vivo gene therapy using this AV-NG2p-OXR1 to DB/DB mice, the mouse model for type 2 diabetes, significantly improved wound healing, likely through enhancing blood flow at the wound rather than increasing vessel density. Together, our data suggest that gene therapy targeting inflammatory pericytes may improve diabetes-associated impaired wound healing.
Centromedian thalamic neuromodulation for the treatment of idiopathic generalized epilepsy

Idiopathic generalized epilepsy (IGE) is a common type of epilepsy and despite an increase in the number of available anti-seizure medications, approximately 20–30% of people with IGE continue to experience seizures despite adequate medication trials. Unlike focal epilepsy, resective surgery is not a viable treatment option for IGE; however, neuromodulation may be an effective surgical treatment for people with IGE. Thalamic stimulation through deep brain stimulation (DBS) and responsive neurostimulation (RNS) have been explored for the treatment of generalized and focal epilepsies. Although the data regarding DBS and RNS in IGE is limited to case reports and case series, the results of the published studies have been promising. The current manuscript will review the published literature of DBS and RNS within the centromedian nucleus of the thalamus for the treatment of IGE, as well as highlight an illustrative case.
POF (paclitaxel/oxaliplatin/5-fluorouracil/leucovorin) vs. SOX/CAPOX/FOLFOX as a postoperative adjuvant chemotherapy for curatively resected stage III gastric cancer: Study protocol for a randomized controlled trial, FNF-014 trial

Background Postoperative chemotherapy is a standard treatment for stage II and III gastric cancer in Asia. With regard to single-agent or doublet, the need for improvement has consistently been pointed out because of the relatively poor outcome for patients with stage III gastric cancer. Triplet has shown significant survival benefits in the perioperative setting. We conducted a randomized, multicenter, phase III study to compare triplet to doublet regimens for patients with stage III gastric cancer. Methods This is currently enrolling patients (n = 230) with pathologic stage III gastric cancer after D2 lymph node dissection and achieved R0 resection. Patients are randomized 1:1 and stratified by tumor stage (IIIA, IIIB, or IIIC, AJCC 8th) into POF or SOX/CAPOX/FOLFOX. S-1 and oxaliplatin (SOX): oxaliplatin 130 mg/m2 on day 1, oral S-1 80–120 mg/m2 divided by two on days 1–14 every 21 days for 8 cycles. Capecitabine and oxaliplatin (CAPOX): oxaliplatin 130 mg/m2 on day 1, oral capecitabine 1000 mg/m2 twice daily on days 1–14 every 21 days for 8 cycles. Folinic acid (or leucovorin), 5-fluorouracil and oxaliplatin (FOLFOX): oxaliplatin 85 mg/m2, levo-leucovorin 200 mg/m2, and 5-fluorouracil (5-FU) 400 mg/m2 bolus on day 1, then 5-FU 2400 mg/m2 continuous infusion over 46 h, every 14 days for 12 cycles. Three doublets were chosen by the clinicians. Paclitaxel, oxaliplatin, 5-fluorouracil, and leucovorin (POF): paclitaxel 135 mg/m2, followed by FOLFOX omitted 5-FU bolus, every 14 days for 12 cycles. The primary end point is 3-year disease-free survival (3-year-DFS). Secondary end points are overall survival (OS) and safety (any adverse event). Discussion The results of this study will help establish postoperative clinical evidence for patients with locally advanced gastric adenocarcinoma or gastroesophageal junction adenocarcinoma. Clinical Trial Registration [www.ClinicalTrials. gov], identifier [NCT0378826].
Teaching data science to undergraduate translation trainees: Pilot evaluation of a task-based course

The advancement in technology has changed the workflow and the role of human translator in recent years. The impact from the trend of technology-mediated translation prompted the ratification of technology literacy as a major competence for modern translators. Consequently, teaching of translation technology including but not limited to Computer-aided Translation (CAT) and Machine Translation (MT) became part of comprehensive curricula for translation training programs. However, in many institutions, the teaching of translation technology was haunted by issues such as: narrow scope of curriculum design, outdated technologies, and unbalance between theories and practices in teaching. The study was the pilot evaluation of a tailored course to foster translation trainees’ knowledge and abilities of data science. The course was designed to be a fundamental step toward sophisticated translation technologies. During the pilot evaluation of the 8-week course, 85 students (n = 85) were recruited as participants. The study adopted a mix-method design by employing a survey to investigate student’s level of satisfaction toward the course and focus group discussion to understand students’ attitudes and perceptions of key aspects of the course. By interpreting the results from statistical analysis of the survey (5.39/7) and thematic analysis of the focus group discussion, the course of data science for translators was well received among participants. The evaluation project manifested the feasibility and effectiveness of a translator-oriented data science course.
Bibliometric-Based Evaluation of the Neuromarketing Research Trend: 2010–2021

Neuromarketing has become a new and important topic in the field of marketing in recent years. Consumer behavior research has received increasing attention. In the past decade, the importance of marketing has also been recognized in many fields such as consumer behavior, advertising, information systems, and e-commerce. Neuromarketing uses neurological methods to determine the driving forces behind consumers’ choices. Various neuroscience tools, such as eye movements, have been adopted to help reveal how consumers react to particular advertisements or objects. This information can be used as the basis for new advertising campaigns and brand promotions. To effectively explore the research trends in this field, we must understand the current situation of neuromarketing. A systematic bibliometric analysis can solve this problem by providing publishing trends and information on various topics. In this study, journals that focused on neuromarketing in the field of marketing between 2010 and 2021 were analyzed. These journals were core journals rated by the Association of Business Schools with three or more stars. According to the data analysis results, neuromarketing has 15 main journals with relevant papers. Based on the data collected by the Web of Science (WOS), this study mainly collected 119 references and analyzed the most productive countries, universities, authors, journals, and prolific publications in the field of neuromarketing via Citespace. Through the analysis of knowledge maps, this study explored the mapping of co-citation, bibliographic coupling (BC), and co-occurrence (CC). Moreover, the strongest citation bursts were used to study popular research at different time stages and analyze the research trends of neuromarketing research methods and tools. This study provides an overview of the trends and paths in neuromarketing, which can help researchers understand global trends and future research directions.
Neural signals implicated in the processing of appetitive and aversive events in social and non-social contexts

In 2014, we participated in a special issue of Frontiers examining the neural processing of appetitive and aversive events. Specifically, we reviewed brain areas that contribute to the encoding of prediction errors and value versus salience, attention and motivation. Further, we described how we disambiguated these cognitive processes and their neural substrates by using paradigms that incorporate both appetitive and aversive stimuli. We described a circuit in which the orbitofrontal cortex (OFC) signals expected value and the basolateral amygdala (BLA) encodes the salience and valence of both appetitive and aversive events. This information is integrated by the nucleus accumbens (NAc) and dopaminergic (DA) signaling in order to generate prediction and prediction error signals, which guide decision-making and learning via the dorsal striatum (DS). Lastly, the anterior cingulate cortex (ACC) is monitoring actions and outcomes, and signals the need to engage attentional control in order to optimize behavioral output. Here, we expand upon this framework, and review our recent work in which within-task manipulations of both appetitive and aversive stimuli allow us to uncover the neural processes that contribute to the detection of outcomes delivered to a conspecific and behaviors in social contexts. Specifically, we discuss the involvement of single-unit firing in the ACC and DA signals in the NAc during the processing of appetitive and aversive events in both social and non-social contexts.
Experimenting with automated driving for technology or for the city? A matter of governance cultures

Urban experiments have been promoted as means to enable innovation for sustainability, particularly in urban mobility. Yet, they have been criticized for struggling to stimulate broader transformations, as they often are detached from public-value principles, lack embeddedness in the cities' everyday realities and are industry-oriented. How cultural changes on different governance levels intersect to produce urban experiments with transformative potential has received little attention. This paper focuses on how urban experiments are co-created with broader governance cultures in multiple governance levels, and what the implications of this co-creation are for urban transformation. We provide a theoretical background on the interrelations between governance cultures and urban experimentation, and the debate on urban experimentation within Science and Technology Studies, transition/innovation studies and urban studies to identify the main barriers for urban transformation. We, then, present our methodology consisting of the case study selection of the multi-level governance nexus State-Region-City in Stuttgart and Karlsruhe, our data collection with interviews and documents, and the analytical tool of storylines to capture the co-production of governance cultures and urban experiments. We continue with the analysis of the case study of automated driving experimentation with the concept of storylines. Our findings show that urban experiments are more likely to lead to urban transformation when the local public sector has a strong role in governance processes, and when experiments emerge through deliberation on daily urban problems and policy agendas. When governance processes are mainly led by state and industry actors who prioritize testing technologies as universal and scalable byproducts, it is less likely for urban experiments to lead to urban transformation. Finally, we discuss when urban experimentation advances technology per se and when it adds public value and advances sustainability, arguing for a co-existence of different kinds of urban experiments. We conclude with future research and policy implications.
Applications of the Octet Baryon Quark-Meson Coupling Model to Hybrid Stars

In this study we have investigated a particular state-of-the-art model which is currently used to refine our knowledge of the workings of the strong interaction and the way that it is manifested in both neutron stars and heavy nuclei, although we have placed emphasis on the former for reasons of personal interest. The main body of this work has surrounded an effective field theory known as Quantum Hadrodynamics (QHD) and its variations, as well as an extension to this known as the Quark-Meson Coupling (QMC) model, and variations thereof. We further extend these frameworks to include the possibility of a phase transition from hadronic matter to deconfined quark matter to produce hybrid stars, using various models. We have investigated these pre-existing models to deeply understand how they are justified, and given this information, we have expanded them to incorporate a modern understanding of how the strong interaction is manifest.