Impact of extended starvation conditions on bioelectrocatalytic activity of a methane-producing microbial electrolysis cell.

The performance of a methane-producing microbial electrolysis cell (MEC) markedly relies on the activity and resilience of its electroactive anodic biofilm. Here, the capability of an MEC anodic biofilm to recover following extended starvation periods (90 days) and to function under different applied anode potentials (i.e., +0.20 and -0.10 V, vs. Standard Hydrogen Electrode-SHE) was investigated. Cyclic voltammetry proved to be an insightful means to characterize the biofilm electrocatalytic activity and to track the dynamics of biofilm reactivation. Under all tested conditions the anodic biofilm rapidly and completely recovered from starvation in less than 144 h. However, starvation reduced the electron transfer redundancy of the biofilm causing the disappearance of redox sites operating at the more positive potentials (around 0.0 V vs. SHE) and retaining those having a formal potential lower than -0.18 V vs. SHE. This study presents compelling evidence for the resilience and efficiency of methane-producing MEC.

Formal estimation of wireless network services for signal strength and electromagnetic wave association in an International Green University.

The United Nations focuses on 17 urgent problems to call for action in all countries. Goal 7 of the 17 urgent problems is based on affordable and clean energy. Since 2017, National Taitung University (NTTU) has dedicated more time and effort to attain the wisdom, health, sustainability and aesthetics as an international green university. To accomplish this, we adhere and construct a safe radiofrequency and electromagnetic wave environment to achieve healthy and sustainable campus objectives. According to the UI GreenMetric World University Rankings, NTTU was ranked 74th in 2021, 67th in 2022 and 58th in 2023. In this study, we propose a formal estimation of wireless network services for classrooms or smart spaces to achieve the goal of safe radiofrequency and electromagnetic waves. Inside classrooms or smart spaces, better wireless signal strength and safer electromagnetic waves are achieved. Moreover, the proposed method can be used to determine the quantity of wireless access points for a given classroom or smart space to avoid unsafe electromagnetic waves and inappropriate energy consumption. The experimental results show that all benchmarks meet the wireless exposure limits of the WHO and physician safe technologies in the NTTU.

The iterative development and refinement of health psychology theories through formal, dynamical systems modelling: a scoping review and initial expert-derived 'best practice' recommendations.

This scoping review aimed to synthesise methodological steps taken by researchers in the development of formal, dynamical systems models of health psychology theories. We searched MEDLINE, PsycINFO, the ACM Digital Library and IEEE Xplore in July 2023. We included studies of any design providing that they reported on the development or refinement of a formal, dynamical systems model unfolding at the within-person level, with no restrictions on population or setting. A narrative synthesis with frequency analyses was conducted. A total of 17 modelling projects reported across 29 studies were included. Formal modelling efforts have largely been concentrated to a small number of interdisciplinary teams in the United States (79.3%). The models aimed to better understand dynamic processes (69.0%) or inform the development of adaptive interventions (31.0%). Models typically aimed to formalise the Social Cognitive Theory (31.0%) or the Self-Regulation Theory (17.2%) and varied in complexity (range: 3-30 model components). Only 3.4% of studies reported involving stakeholders in the modelling process and 10.3% drew on Open Science practices. We conclude by proposing an initial set of expert-derived 'best practice' recommendations. Formal, dynamical systems modelling is poised to help health psychologists develop and refine theories, ultimately leading to more potent interventions.

The Unequal Economic and Livelihood Impacts of COVID-19 Lockdowns: Qualitative Evidence from Uganda.

Lockdowns were a key policy response to the COVID-19 pandemic. While they were viewed as a necessary intervention, concerns were raised about their potential for harmful economic and livelihood impacts. However, few studies have addressed the unequal economic and livelihood impacts of lockdowns. Our article reports findings from a qualitative study conducted in Uganda on economic and livelihood impacts of COVID-19 lockdowns in urban and rural settings. This study used 14 focus group discussions, 40 household, and 31 key informant interviews in both urban (Kampala district) and rural (Wakiso district) areas in central Uganda. Data analysis was conducted thematically with NVivo 2020 (QSR International). The findings emphasize the unequal impacts of the COVID-19 lockdowns across a range of dimensions: informal sector activities, formal employment, fluctuating prices alongside scarcity and surpluses, food insecurity, and government interventions. Wealthier households in urban areas were least affected, with urban households reliant on informal sector activities experiencing the most significant impacts. Our findings also suggest that longer-term development strategies, such as increased food self-sufficiency and informal sector interventions can support future pandemic preparedness and response. To address these impacts, policymakers should provide targeted support, alongside protecting key productive sectors, and supply chains.

Analyzing language ability in first-episode psychosis and their unaffected siblings: A diffusion tensor imaging tract-based spatial statistics analysis study.

Schizophrenia (SZ) is a highly heritable mental disorder, and language dysfunctions play a crucial role in diagnosing it. Although language-related symptoms such as disorganized speech were predicted by the polygenic risk for SZ which emphasized the common genetic liability for the disease, few studies investigated possible white matter integrity abnormalities in the language-related tracts in those at familial high-risk for SZ. Also, their results are not consistent. In this current study, we examined possible aberrations in language-related white matter tracts in patients with first-episode psychosis (FEP, N = 20), their siblings (SIB, N = 20), and healthy controls (CON, N = 20) by applying whole-brain Tract-Based Spatial Statistics and region-of-interest analyses. We also assessed language ability by Thought and Language Index (TLI) using Thematic Apperception Test (TAT) pictures and verbal fluency to see whether the scores of these language tests would predict the differences in these tracts. We found significant alterations in language-related tracts such as inferior longitudinal fasciculus (ILF) and uncinate fasciculus (UF) among three groups and between SIB and CON. We also proved partly their relationship with the language test as indicated by the significant correlation detected between TLI Impoverished thought/language sub-scale and ILF. We could not find any difference between FEP and CON. These results showed that the abnormalities, especially in the ILF and UF, could be important pathophysiological vulnerability indexes of schizophrenia. Further studies are required to understand better the role of language as a possible endophenotype in schizophrenia with larger samples.

Exploring Saccharomycotina Yeast Ecology Through an Ecological Ontology Framework.

Yeasts in the subphylum Saccharomycotina are found across the globe in disparate ecosystems. A major aim of yeast research is to understand the diversity and evolution of ecological traits, such as carbon metabolic breadth, insect association, and cactophily. This includes studying aspects of ecological traits like genetic architecture or association with other phenotypic traits. Genomic resources in the Saccharomycotina have grown rapidly. Ecological data, however, are still limited for many species, especially those only known from species descriptions where usually only a limited number of strains are studied. Moreover, ecological information is recorded in natural language format limiting high throughput computational analysis. To address these limitations, we developed an ontological framework for the analysis of yeast ecology. A total of 1,088 yeast strains were added to the Ontology of Yeast Environments (OYE) and analyzed in a machine-learning framework to connect genotype to ecology. This framework is flexible and can be extended to additional isolates, species, or environmental sequencing data. Widespread adoption of OYE would greatly aid the study of macroecology in the Saccharomycotina subphylum.

Formal analysis of signal protocol based on logic of events theory.

The Signal is an end-to-end encrypted communication protocol composed of a double ratchet (DR) protocol and an extended triple Diffie-Hellman (X3DH) protocol. Its complex ratchet structure and the characteristics of protocol composition make it challenging to realize formal analysis. A formal analysis method based on logic of events theory (LoET) is proposed to conduct a security analysis of the Signal protocol. The method includes inference rules with key relation and key chain as the core to realize the formal analysis of ratchet structure, and the inference relation between sub-protocols is established by putting forward the composition theorem. The proposed method achieves a formal analysis of Signal, revealing that it does not satisfy a strong authentication property during the X3DH phase. The results show that the LoET-based method can be effectively applied in the formal analysis of Signal protocols, thus promoting the application and development of these protocols with ratchet structure and composition properties.

Can formal home and community-based care substitute informal care? Evidence from Chinese Longitudinal Healthy Longevity Survey.

BACKGROUND: Formal home and community-based care are often considered as the preferable option to institutional care, offering older individuals the convenience of receiving care in their homes. Although research has found that these services may alleviate the burden on informal caregivers, there is a lack of research on which specific types of formal home and community-based care influence informal care provision. METHODS: Employing fixed-effects and quantile regression models, this study seeks to explore the effects that various formal home and community-based care services have on reducing the burden of informal care. This study draws data from the Chinese Longitudinal Healthy Longevity Survey 2005, 2008, 2011, 2014, and 2018. RESULTS: Our findings indicate that two types of formal care substantially influence the provision of informal care. The availability of daily living assistance services correlates with reduced informal caregiving hours, especially for those with extensive care needs. The availability of community-based health care services is linked to a reduction in the direct expenses incurred from informal caregiving, especially for those incurring greater direct caregiving costs. These effects are more prominent among urban residents. Other services, such as mental health support and legal advice services, do not demonstrate significant effects on reducing informal care hours and costs. CONCLUSIONS: Daily living assistance and community-based health care services play a crucial role in benefiting informal caregivers. It is important to prioritize the expansion of these services, especially among those with greater care needs.

SpecRep: Adversary Emulation Based on Attack Objective Specification in Heterogeneous Infrastructures.

Cybercriminals have become an imperative threat because they target the most valuable resource on earth, data. Organizations prepare against cyber attacks by creating Cyber Security Incident Response Teams (CSIRTs) that use various technologies to monitor and detect threats and to help perform forensics on machines and networks. Testing the limits of defense technologies and the skill of a CSIRT can be performed through adversary emulation performed by so-called "red teams". The red team's work is primarily manual and requires high skill. We propose SpecRep, a system to ease the testing of the detection capabilities of defenses in complex, heterogeneous infrastructures. SpecRep uses previously known attack specifications to construct attack scenarios based on attacker objectives instead of the traditional attack graphs or a list of actions. We create a metalanguage to describe objectives to be achieved in an attack together with a compiler that can build multiple attack scenarios that achieve the objectives. We use text processing tools aided by large language models to extract information from freely available white papers and convert them to plausible attack specifications that can then be emulated by SpecRep. We show how our system can emulate attacks against a smart home, a large enterprise, and an industrial control system.

A Strategy for the Formal C-N Cross-Coupling of Tertiary Amines.

We report a strategy for the C-N cross-coupling of tertiary amines via the in situ generation and displacement of N-acyl ammonium species. Specifically, treatment of diverse tertiary amines with TFAA or choroformates in the presence of NaI leads to the efficient generation of alkyl iodides, which can be engaged directly in Ni-catalyzed cross-couplings. The protocol is applicable to acyclic and cyclic systems, including highly hindered variants. Applications to the late-stage modification of complex heterocycles are presented.

Transitions between care networks: a prospective study among older adults in the Netherlands.

As health impairment increases, older adults utilize care from different types of caregivers, but little is known about changes in the composition of care networks. We mapped the transitions between different care networks to gain insight into which people develop care networks that include informal, privately and publicly paid care. We used three waves (2012-2015-2018) of the Longitudinal Aging Study Amsterdam with 1413 Dutch community-dwelling adults, aged 64-100. Network types were identified using six types of caregivers: (1) co-resident, (2) non-co-resident children, (3) other kin, (4) neighbours/friends/acquaintances, (5) publicly paid, (6) privately paid, in a latent transition analysis with mortality and moving to a care facility as missing states. Five types of care networks were identified: (1) no care, (2) privately paid, (3) mixed informal, (4) mixed publicly paid, (5) co-resident. The co-resident network was the most unstable and had a high transition rate to nursing homes. Participants from the privately paid care network often transitioned to a mixed informal network and rarely transitioned to a mixed publicly paid network. Transitions out of the no-care network were mostly to the privately paid network. The two mixed care networks were the most stable. Transitions appeared to be most triggered by deteriorating health. Transitions to institutional care were most likely in the mixed informal, mixed publicly paid and the co-resident network. Thus, these networks appear to require additional support to facilitate ageing in place.

An approach leveraging radiomics and model checking for the automatic early diagnosis of adhesive capsulitis.

Adhesive Capsulitis of the shoulder is a painful pathology limiting shoulder movements, commonly known as "Frozen Shoulder". Since this pathology limits movement, it is important to make an early diagnosis. Diagnosing capsulitis relies on clinical assessment, although diagnostic imaging, such as Magnetic Resonance Imaging, can provide predictive or supportive information for specific characteristic signs. However, its diagnosis is not so simple nor so immediate, indeed it remains a difficult topic for many general radiologists and expert musculoskeletal radiologists. This study aims to investigate whether it is possible to use disease signs within a medical image to automatically diagnose Adhesive Capsulitis. To this purpose, we propose an automatic Model Checking-based approach to quickly diagnose the Adhesive Capsulitis taking as input the radiomic feature values from the medical images. Furthermore, we compare the performance achieved by our method with diagnostic results obtained by professional radiologists with different levels of experience. To the best of our knowledge, this is the first method for the automatic diagnosis of Adhesive Capsulitis of the Shoulder.

Radiomics and 256-slice-dual-energy CT in the automated diagnosis of mild acute pancreatitis: the innovation of formal methods and high-resolution CT.

INTRODUCTION: Acute pancreatitis (AP) is a common disease, and several scores aim to assess its prognosis. Our study aims to automatically recognize mild AP from computed tomography (CT) images in patients with acute abdominal pain but uncertain diagnosis from clinical and serological data through Radiomic model based on formal methods (FMs). METHODS: We retrospectively reviewed the CT scans acquired with Dual Source 256-slice CT scanner (Somatom Definition Flash; Siemens Healthineers, Erlangen, Germany) of 80 patients admitted to the radiology unit of Antonio Cardarelli hospital (Naples) with acute abdominal pain. Patients were divided into 2 groups: 40 underwent showed a healthy pancreatic gland, and 40 affected by four different grades (CTSI 0, 1, 2, 3) of mild pancreatitis at CT without clear clinical presentation or biochemical findings. Segmentation was manually performed. Radiologists identified 6 patients with a high expression of diseases (CTSI 3) to formulate a formal property (Rule) to detect AP in the testing set automatically. Once the rule was formulated, and Model Checker classified 70 patients into "healthy" or "unhealthy". RESULTS: The model achieved: accuracy 81%, precision 78% and recall 81%. Combining FMs results with radiologists agreement, and applying the mode in clinical practice, the global accuracy would have been 100%. CONCLUSIONS: Our model was reliable to automatically detect mild AP at primary diagnosis even in uncertain presentation and it will be tested prospectively in clinical practice.

Perceived health and working life in caregivers from nursing homes that used or did not use nighttime personalized non-pharmacological therapies to address residents' behavioral and psychological symptoms of dementia.

Dementia is frequent in nursing home (NH), affecting between 40 and 50 % of the residents and is associated in 90 % of the cases with behavioral and psychological symptoms (BPSD) which are detrimental to caregivers' working life and perceived health. We compared perceived health and working life between NHs that used or did not use nighttime personalized non-pharmacological therapies (PNPT) to address BPSD. This anonymous survey included 96 caregivers from 25 NHs which used (n = 69) or not (n = 27) nighttime PNPT. Perceived health, nursing and medical care, quality of care and internal motivation were significantly higher, stress symptoms and workload were significantly lower and there was a tendency to enhanced satisfaction with work in caregivers from NHs which used nighttime PNPT. Our present data open a new window on the benefits of PNPT.

Sources of Social Support and Depressive Symptoms Among Chinese Older Adults: A Moderated Mediation of Social Adaptation and Filial Piety.

This study examined the mediating effect of social adaptation on the associations between sources of social support and depressive symptoms among Chinese older adults, and explored how filial piety moderated these associations in different ways. Data were drawn from the China Longitudinal Aging Social Survey in 2018 (N = 6617). Regression analysis and bootstrap test were used to assess the mechanisms underlying the inconsistency between different sources of social support and depressive symptoms. We found that social support, except for pension, significantly affected depressive symptoms through social adaptation. Moreover, filial piety positively moderated the mediating effect of social adaptation on the association between social support inside the family and depressive symptoms, while negatively moderating it in regard to social support outside the family, except for pension, and depressive symptoms. The results showed filial piety may affect the extent to which older adults convert different sources of social support into personal subjective welfare.

Integrating Intra- and Interindividual Phenomena in Psychological Theories.

Psychological science is divided into two distinct methodological traditions. One tradition seeks to understand how people function at the individual level, while the other seeks to understand how people differ from each other. Methodologies that have grown out of these traditions typically rely on different sources of data. While both use statistical models to understand the structure of the data, and these models are often similar, Molenaar (2004) showed that results from one type of analysis rarely transfer to the other, unless unrealistic assumptions hold. This raises the question how we may integrate these approaches. In this paper, we argue that formalized theories can be used to connect intra- and interindividual levels of analysis. This connection is indirect, in the sense that the relationship between theory and data is best understood through the intermediate level of phenomena: robust statistical patterns in empirical data. To illustrate this, we introduce a distinction between intra- and interindividual phenomena, and argue that many psychological theories will have implications for both types of phenomena. Formalization provides us with a methodological tool for investigating what kinds of intra- and interindividual phenomena we should expect to find if the theory under consideration were true.

Model Predictive Control with Variational Autoencoders for Signal Temporal Logic Specifications.

This paper presents a control strategy synthesis method for dynamical systems with differential constraints, emphasizing the prioritization of specific rules. Special attention is given to scenarios where not all rules can be simultaneously satisfied to complete a given task, necessitating decisions on the extent to which each rule is satisfied, including which rules must be upheld or disregarded. We propose a learning-based Model Predictive Control (MPC) method designed to address these challenges. Our approach integrates a learning method with a traditional control scheme, enabling the controller to emulate human expert behavior. Rules are represented as Signal Temporal Logic (STL) formulas. A robustness margin, quantifying the degree of rule satisfaction, is learned from expert demonstrations using a Conditional Variational Autoencoder (CVAE). This learned margin is then applied in the MPC process to guide the prioritization or exclusion of rules. In a track driving simulation, our method demonstrates the ability to generate behavior resembling that of human experts and effectively manage rule-based dilemmas.

Cannabis use, social support and social engagement among working-age adults in rural America.

Objective: Cannabis use has been linked to physical, psychological, and behavioral changes. Although research indicates separately that informal social support and formal social engagement - which are correlated measures - serve as protective factors in cannabis use, much of this research focuses on youth and more urban samples, limiting our understanding of if these findings are true for rural populations where social support and social engagement are particularly important for health and health behaviors. To fill the research gap, this study examines the effects of informal social support (tangible support and emotional support) and formal social engagement on cannabis use among rural working-age adults. Methods: This research analyzed 1,122 observations from a cross-sectional online survey conducted in 2022 of working-age adults (18-64) from rural America. Multilevel logistic regression models were used to predict cannabis use in the past 12 months using informal social support (tangible support and emotional support) and formal social engagement and other sociodemographic covariates and state legalization status. Results: Multilevel logistic modeling indicates that low emotional support and low formal social engagement are associated with a higher odds of reporting cannabis use in the past 12 months among rural working-age adults, net of other sociodemographic variables and state legalization status. Conclusions: The study suggests that emotional support and social engagement may contribute to cannabis use prevention among rural working-age adults. These findings should inform future research as well as the development of tailored health interventions targeting rural working-age adults.

Development and Usability of a Mobile Support Application for Sexual Violence Victims Connecting With Formal Support Organizations.

The lack of awareness and accessibility about the support organizations for preventing sexual violence and assisting victims hampers the effectiveness of the social safety net. A mobile application based on a connection to support agencies was developed and evaluated for usability. A group of 15 experts and a group of 30 users evaluated usability. The developed mobile application focused on "Emergency Report," "Support Agencies and Services," and "Counseling for Support." The strength of the application was acknowledged in providing easy-to-find, reliable, useful, and necessary information, highlighting the positive usability and applicability of the mobile support application for sexual violence victims.

An enantioselective formal synthesis of thienamycin.

Thienamycin is a carbapenem antibiotic with potent activity against gram-negative and gram-positive bacteria. Due to its promising activity but lack of chemical stability, thienamycin serves as inspiration for new synthetic antibiotic scaffolds. In this study, we report a nine-step enantioselective formal synthesis of thienamycin. Our route utilizes an asymmetric reduction, enabled by NaBH4 and D-tartaric acid, followed by a series of diastereoselective reactions to access the key azetidinone precursor to thienamycin. This azetidinone precursor could be used as an intermediate to further develop and expand the scope of next-generation beta-lactam antibiotic scaffolds.