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Service-learning models serve as noteworthy curriculum paradigms that can help students engage with their communities while continuously learning. This article recounts the implementation of a service-learning model within a student initiative aimed to help combat vaccine hesitancy and promote the uptake of vaccinations within the Rhode Island community. Through a collaborative effort between students, faculty, and the university, the student initiative was able to construct a credit-bearing course to help assess and alleviate vaccine hesitancy within Rhode Island. This article highlights the journey the organization took to develop a service-learning model within the course, the project details, and the impact of their project on the community. A detailed analysis of the service-learning model's impact on students as well as key takeaways of the project are also highlighted below.

Abstract Background Rendena is a dual-purpose cattle breed, which is primarily found in the Italian Alps and the eastern areas of the Po valley, and recognized for its longevity, fertility, disease resistance and adaptability to steep Alpine pastures. It is categorized as 'vulnerable to extinction' with only 6057 registered animals in 2022, yet no comprehensive analyses of its molecular diversity have been performed to date. The aim of this study was to analyse the origin, genetic diversity, and genomic signatures of selection in Rendena cattle using data from samples collected in 2000 and 2018, and shed light on the breed's evolution and conservation needs. Results Genetic analysis revealed that the Rendena breed shares genetic components with various Alpine and Po valley breeds, with a marked genetic proximity to the Original Braunvieh breed, reflecting historical restocking efforts across the region. The breed shows signatures of selection related to both milk and meat production, environmental adaptation and immune response, the latter being possibly the result of multiple rinderpest epidemics that swept across the Alps in the eighteenth century. An analysis of the Rendena cattle population spanning 18 years showed an increase in the mean level of inbreeding over time, which is confirmed by the mean number of runs of homozygosity per individual, which was larger in the 2018 sample. Conclusions The Rendena breed, while sharing a common origin with Brown Swiss, has developed distinct traits that enable it to thrive in the Alpine environment and make it highly valued by local farmers. Preserving these adaptive features is essential, not only for maintaining genetic diversity and enhancing the ability of this traditional animal husbandry to adapt to changing environments, but also for guaranteeing the resilience and sustainability of both this livestock system and the livelihoods within the Rendena valley.

This paper investigates the experiences of children associated with Boko Haram in Northeast Nigeria. The central argument posits that, within highly coercive environments, exploitation and agency are mutually constitutive. While acknowledging the prevalent exploitation of these children, it is crucial to recognise how such exploitation is intimately connected to their agency. As economic, social, and political pressures mount, children may perceive participation in Boko Haram (and self-exploitation) as the only viable means to achieve various goals—from protecting their families and communities to seeking self-significance. Consequently, exploitation—whether orchestrated by group leaders or members—may be consciously embraced by children as a means to create new horizons of possibilities. Simultaneously, by engaging in Boko Haram’s activities, children reproduce a system aimed to their own exploitation and vilification. Neglecting the complexities inherent in children’s associations with Boko Haram has potential implications for their reintegration and community healing processes.

Introduction Medication adherence was defined by the WHO as “the extent to which a person’s behavior coincides with the medical advice given” (WHO, 2003). Existing literature indicates that approximately 49% of patients with major psychiatric disorders do not fully adhere to their prescribed psychopharmacological therapy (Colom et al, 2002). Non-adherence can lead to partial therapeutic responses or treatment resistance, increased risk of relapse, re-hospitalization, elevated suicide risk, and overall poorer functioning, thereby compromising the patient-doctor therapeutic relationship (Garcìa et al, 2016). Objectives The aim of the present study was to assess potential differences in terms of clinical features related to adherence to treatment in a large cohort of psychiatric patients of an Italian psychiatric department. Methods The study included 307 psychiatric patients, of any gender or age, diagnosed with unipolar depression (UD), bipolar depression (BD), anxiety disorders (AD), schizophrenic spectrum disorders (SS) or a primary diagnosis of personality disorders (PD), based on DSM-5 criteria. Patients were consecutively recruited from the Department of Psychiatry at Luigi Sacco University Hospital, in Milan. The patient’s adherence to treatment was evaluated using the Clinician Rating Scale (CRS), with a cut-off of ≥ 5 defining adherence subgroups (A+: score ≥ 5; A-: score < 5). Comparative and predictive analysis were performed for the whole sample and the two adherence subgroups. Results Overall, nearly one-third of the whole sample reported suboptimal medication adherence. Specifically, rates were approximately 35.3% and 32.7% for BD and SS, respectively, followed by 30.8% for PD, 28% for AD and, 20.3% for UD (see Figure 1). Patients with A- showed significantly higher current substance abuse (17.8% vs 4.5%, p

Abstract Indicine cattle, also referred to as zebu (Bos taurus indicus), play a central role in pastoral communities across a wide range of agro-ecosystems, from extremely hot semiarid regions to hot humid tropical regions. However, their adaptive genetic changes following their dispersal into East Asia from the Indian subcontinent have remained poorly documented. Here, we characterize their global genetic diversity using high-quality whole-genome sequencing data from 354 indicine cattle of 57 breeds/populations, including major indicine phylogeographic groups worldwide. We reveal their probable migration into East Asia was along a coastal route rather than inland routes and we detected introgression from other bovine species. Genomic regions carrying morphology-, immune-, and heat-tolerance-related genes underwent divergent selection according to Asian agro-ecologies. We identify distinct sets of loci that contain promising candidate variants for adaptation to hot semi-arid and hot humid tropical ecosystems. Our results indicate that the rapid and successful adaptation of East Asian indicine cattle to hot humid environments was promoted by localized introgression from banteng and/or gaur. Our findings provide insights into the history and environmental adaptation of indicine cattle.

This contribution reflects on the state of comparative studies devoted to East Slavic literatures in Italy. Between the end of the 20th and beginning of the 21st century, Italian scholars of Slavic studies and the editors of Italian journals have made a number of interesting proposals on the subject. However, hyper-specialization has often hampered efforts to put theory into practice. I foreground some of these important methodological contributions by Italian scholars on comparative Slavic studies and discuss them both in the international context and with reference to other methodologies and research fields, most notably postcolonial studies. After the full-scale invasion of Ukraine by the Russian Federation in February 2022, comparative studies at the crossroads of Belarusian, Russian, and Ukrainian cultures have become a thorny issue. Scholars should seek to strike a balance between a philological approach and the ethical need to respect the different cultural orientations of East Slavic nations.

The organic molecules adsorbed on antiferromagnetic surfaces can produce interesting interface states, characterized by charge transfer mechanisms, hybridization of molecular-substrate orbitals, as well as magnetic couplings. Here, we apply an ab initio approach to study the adsorption of Fe phthalocyanine on stoichiometric Cr2O3(0001). The molecule binds via a bidentate configuration forming bonds between two opposite imide N atoms and two protruding Cr ones, making this preferred over the various possible adsorption structures. In addition to the local modifications at these sites, the electronic structure of the molecule is weakly influenced. The magnetic structure of the surface Cr atoms shows a moderate influence of molecule adsorption, not limited to the atoms in the close proximity of the molecule. Upon optical excitation at the onset, electron density moves toward the molecule, enhancing the ground state charge transfer. We investigate this movement of charge as a mechanism at the base of light-induced modifications of the magnetic structure at the interface.

Artificial Intelligence (AI) and Machine Learning (ML) approaches that could learn from large data sources have been identified as useful tools to support clinicians in their decisional process; AI and ML implementations have had a rapid acceleration during the recent COVID-19 pandemic. However, many ML classifiers are “black box” to the final user, since their underlying reasoning process is often obscure. Additionally, the performance of such models suffers from poor generalization ability in the presence of dataset shifts. Here, we present a comparison between an explainable-by-design (“white box”) model (Bayesian Network (BN)) versus a black box model (Random Forest), both studied with the aim of supporting clinicians of Policlinico San Matteo University Hospital in Pavia (Italy) during the triage of COVID-19 patients. Our aim is to evaluate whether the BN predictive performances are comparable with those of a widely used but less explainable ML model such as Random Forest and to test the generalization ability of the ML models across different waves of the pandemic.

Background: Despite its potential oncologic benefit, complete mesocolic excision (CME) has rarely been offered to elderly patients. The present study evaluated the effect of age on postoperative outcomes among patients undergoing laparoscopic right colectomies with CME for right-sided colon cancer (RCC). Methods: Data of patients undergoing laparoscopic right colectomies with CME for RCC between 2015 and 2018 were retrospectively analyzed. Selected patients were divided into two groups: the under-80 group and the over-80 group. Surgical, pathological, and oncological outcomes among the groups were compared. Results: A total of 130 patients were selected (95 in the under-80 group and 35 in the over-80 group). No difference was found between the groups in terms of postoperative outcomes, except for median length of stay and adjuvant chemotherapy received, which were in favor of the under-80 group (5 vs. 8 days, p < 0.001 and 26.3% vs. 2.9%, p = 0.003, respectively). No difference between the groups was found regarding overall survival and disease free survival. Using multivariate analysis, only the ASA score > 2 (p = 0.01) was an independent predictor of overall complications. Conclusions: laparoscopic right colectomy with CME for RCC was safely performed in elderly patients ensuring similar oncological outcomes compared to younger patients.

Background: Artificial intelligence (AI) has proved to be of great value in diagnosing and managing Sars-Cov-2 infection. ALFABETO (ALL-FAster-BEtter-TOgether) is a tool created to support healthcare professionals in the triage, mainly in optimizing hospital admissions. Methods: The AI was trained during the pandemic's “first wave” (February-April 2020). Our aim was to assess the performance during the “third wave” of the pandemics (February-April 2021) and evaluate its evolution. The neural network proposed behavior (hospitalization vs home care) was compared with what was actually done. If there were discrepancies between ALFABETO's predictions and clinicians' decisions, the disease's progression was monitored. Clinical course was defined as “favorable/mild” if patients could be managed at home or in spoke centers and “unfavorable/severe” if patients need to be managed in a hub center. Results: ALFABETO showed accuracy of 76%, AUROC of 83%; specificity was 78% and recall 74%. ALFABETO also showed high precision (88%). 81 hospitalized patients were incorrectly predicted to be in “home care” class. Among those “home-cared” by the AI and “hospitalized” by the clinicians, 3 out of 4 misclassified patients (76.5%) showed a favorable/mild clinical course. ALFABETO’s performance matched the reports in literature. Conclusions: The discrepancies mostly occurred when the AI predicted patients could stay at home but clinicians hospitalized them; these cases could be handled in spoke centers rather than hubs, and the discrepancies may aid clinicians in patient selection. The interaction between AI and human experience has the potential to improve both AI performance and our comprehension of pandemic management.

The lack in process intensification (PI) training may be limiting processes to achieve sustainability goals. This project developed a hands-on course on intensified membrane processes to address knowledge gaps in PI. Bench-scale activities introduced concepts of membrane separation, operating engineering-scale modules provided a near-industrial experience, and simulation software allowed modeling and optimization of a process. Student evaluations showed that the combination of modeling, experimental, and peer-instruction work helped them understand the application of theoretical concepts.

Article Highlights An eco-friendly underactuated soft gripper is presented and described for application in the waste industry, to help or partially replace humans in harmful works. Its design oriented to sustainability is described and the mechanical characteristics are analyzed by Finite Element Modelling (FEM). Results and different application strategies for the waste industry are presented and discussed.

The dramatic developments devastating Ukraine since February 2022 represent a true watershed not only for social and political dynamics in both countries, but also for Russian and Ukrainian studies. In this article, the authors aim to contribute to a preliminary review of the most relevant issues touched upon by the academic debate emerging in the months following the start of the war of aggression waged by the Russian Federation in Ukraine.

ABSTRACT: Sperm motility is directly related to the ability of sperm to move through the female reproductive tract to reach the ovum. Sperm motility is a complex trait that is influenced by environmental and genetic factors and is associated with male fertility, oocyte penetration rate, and reproductive success of cattle. In this study we carried out a GWAS in Italian Holstein bulls to identify candidate regions and genes associated with variations in progressive and total motility (PM and TM, respectively). After quality control, the final data set consisted of 5,960 records from 949 bulls having semen collected in 10 artificial insemination stations and genotyped at 412,737 SNPs (call rate >95%; minor allele frequency >5%). (Co)variance components were estimated using single trait mixed models, and associations between SNPs and phenotypes were assessed using a genomic BLUP approach. Ten windows that explained the greatest percentage of genetic variance were located on Bos taurus autosomes 1, 2, 4, 6, 7, 23, and 26 for TM and Bos taurus autosomes 1, 2, 4, 6, 8, 16, 23, and 26 for PM. A total of 150 genes for TM and 72 genes for PM were identified within these genomic regions. Gene Ontology enrichment analyses identified significant Gene Ontology terms involved with energy homeostasis, membrane functions, sperm-egg interactions, protection against oxidative stress, olfactory receptors, and immune system. There was significant enrichment of quantitative trait loci for fertility, calving ease, immune response, feed intake, and carcass weight within the candidate windows. These results contribute to understanding the architecture of the genetic control of sperm motility and may aid in the development of strategies to identify subfertile bulls and improve reproductive success.

In recent decades, extensive attention has been paid to the study and development of robotic devices specifically designed for hand rehabilitation. Accordingly, a many concepts concerning rigid, soft, and hybrid types have emerged in the literature, with significant ongoing activity being directed towards the development of new solutions. In this context, the paper focuses on the technical features of devices conceived for the robotic rehabilitation of the hand with reference to the three kinds of exoskeleton architecture and the clinical requirements demanded by the target impairment of the end-user. The work proposes a roadmap (i) for both the design and selection of exoskeletons for hand rehabilitation, (ii) to discriminate among the peculiarities of soft, rigid, and hybrid devices, and (iii) with an impairment-oriented rationale. The clinical requirements expected for an exoskeleton are identified by applying a PICO-inspired approach focused on the impairment analysis; the technical features are extracted from a proposed design process for exoskeletons combined with a narrative literature review. A cross-analysis between device families and features is presented to provide a supporting tool for both the design and selection of exoskeletons according to an impairment-oriented rationale.

Abstract Exploring the genetic variability in yield and yield-related traits is essential to continue improving genetic gains. Fifty-nine Argentinian durum wheat cultivars were analyzed for important agronomic traits in three field experiments. The collection was genotyped with 3565 genome-wide SNPs and functional markers in order to determine the allelic variation at Rht-B1 and Ppd-A1 genes. Population structure analyses revealed the presence of three main groups, composed by old, modern and genotypes with European or CIMMYT ancestry. The photoperiod sensitivity Ppd-A1b allele showed higher frequency (75%) than the insensitivity one Ppd-A1a (GS105). The semi-dwarfism Rht-B1b and the Ppd-A1a (GS105) alleles were associated with increases in harvest index and decreases in plant height, grain protein content and earlier heading date, although only the varieties carrying the Rht-B1 variants showed differences in grain yield. Out of the two main yield components, grain number per plant was affected by allelic variants at Rht-B1 and Ppd-A1 loci, while no differences were observed in thousand kernel weight. The increases in grain number per spike associated with Rht-B1b were attributed to a higher grain number per spikelet, whereas Ppd-A1a (GS105) was associated with higher grain number per spikelet, but also with lower spikelets per spike.

Introduction Poor adherence to treatment is currently stated to be one of the causes of depression relapse and recurrence. Objectives Aim of the present study was to assess potential differences in terms of clinical and socio-demographic characteristics specifically related to adherence to treatment features, medical comorbidities, and substance abuse in a sample of patients diagnosed with Major Depression in an Italian psychiatric department. Methods Patients with a DSM-5 diagnosis of Unipolar or Bipolar Major Depressive Episode, of either gender or any age were recruited from the Psychiatry Department of Luigi Sacco University Hospital in Milan. Main clinical and socio-demographic variables were collected reviewing patients’ medical records. Moreover, adherence to psychopharmacological treatment was assessed using the Clinician Rating Scale (CRS; Kemp et al, 1996; 1998). Adherence was defined as ratings of > or =5 on the CRS. Descriptive and association analyzes were performed, setting the significance level at p

Introduction People with mental illness are overrepresented throughout the criminal justice system. In Italy, an ongoing process of deinstitutionalization has been enacted: the Judicial Psychiatric Hospitals are now on the edge of their closure in favor of small-scale therapeutic facilities (Residenze per l’Esecuzione delle Misure di Sicurezza - REMS). Law 81/2014 prescribes that a patient cannot stay in a REMS for a period longer than a prison sentence for the same index offense. Therefore, when patients end their duty for criminal behaviors, their clinical management moves back to outpatient psychiatric centers. Elevated risks of violent behavior are not equally shared across the spectrum of psychiatric disorders. In the past several years, multiple studies in the field of forensic psychiatry confirmed a close relationship between violent offenders and comorbid substance abuse. Objectives In order to broaden the research in this area, we analyzed sociodemographic, clinical and forensic variables of a group of psychiatric patients with a history of criminal behaviors, attending an outpatient psychiatric service in Milan, with a focus on substance abuse. Methods This is a cross-sectional single center study, conducted in 2020. Seventy-six subjects with a history of criminal behaviors aged 18 years or more and attending an outpatient psychiatric service were included. Demographic and clinical variables collected during clinical interviews with patients were retrospectively retrieved from patients’ medical records. Appropriate statistical analyses for categorical and continuous variables were conducted. Results Data were available for 76 patients, 51,3% of them had lifetime substance abuse. Lifetime substance abuse was significantly more common in patients with long-acting injectable antipsychotics therapy, >3 psychiatric hospitalizations, history of previous crimes and economic crime (Table 1). Additionally, this last potential correlation was confirmed by logistic regression. Table 1. Lifetime substance abusers (N=39) Non-lifetime substance abusers (N=37) Proportion Difference P-value N % N % Depot administration Yes 11 (28,9%) 0 (0%) 28,9% 0,02 Hospitalizations Four or more 25 (64,1%) 5 (33,3%) 30,8% 0,04 Economic crime Yes 15 (40,5%) 1 (6,7%) 33,8% 0,02 Previous crimes Yes 17 (51,4%) 2 (13,3%) 38,1% 0,02 Conclusions Data emerging from this survey provide new information about offenders in an Italian mental health service with a focus on lifetime substance abuse in these patients. Our preliminary results should be confirmed in larger sample sizes. Disclosure of Interest None Declared

Introduction The COVID-19 pandemic has strongly impacted mental health outcomes of healthcare workers (HWs). In spite of the large literature reporting on Post-Traumatic Stress Disorder (PTSD) symptoms, only a few studies focused on potential positive aspects that may follow the exposure to the COVID-19 pandemic, namely post-traumatic growth (PTG) among HWs. Objectives In a large sample of Italian HWs, we aimed to investigate the prevalence of PTSD, its correlates and whether PTG dimensions independently affect the risk of PTSD during the first COVID-19 wave. Methods An online self-report survey was submitted to HWs throughout physicians’ and nurses’ associations, social networks and researchers’ direct contacts, between April 4th and May 13th, 2020. Sociodemographic data, information about possible COVID-19 related stressful events, Impact of Event Scale-Revised (IES-R) and PTG Inventory-Short Form (PTGI-SF) scores were collected. IES-R and PTGI-SF scores were compared between subjects based on main sociodemographic, work- and COVID-19-related variables using the Student T-test or the one-way ANOVA where appropriate. Post-hoc comparisons were conducted using the Tukey test. Participants with total IES-R score >32 were assigned a provisional PTSD diagnosis and binary logistic regression analysis was conducted to investigate the contribution of each variable to the provisional PTSD diagnosis. Results Out of 930 respondents, 256 (27,1%) reported a provisional PTSD diagnosis. Female sex (p