Excessive and prolonged alcohol use can have long-term severe neurological consequences. The mechanisms involved may be complicated; however, new evidence seems to indicate the involvement of iron accumulation and neuroinflammation. Prolonged alcohol consumption has been linked to the accumulation of iron in specific regions of the brain. Evidence suggests that excess iron in the brain can trigger microglia activation in response. This activation leads to the release of pro-inflammatory cytokines and reactive oxygen species, which can cause damage to neurons and surrounding brain tissue. Additionally, iron-induced oxidative stress and inflammation can disrupt the blood–brain barrier, allowing immune cells from the periphery to infiltrate the brain. This infiltration can lead to further neuroinflammatory responses. Inflammation in the brain subsequently disrupts neuronal networks, impairs synaptic plasticity, and accelerates neuronal cell death. Consequently, cognitive functions such as memory, attention, and decision-making are compromised. Additionally, chronic neuroinflammation can hasten the development and progression of neurodegenerative diseases, further exacerbating cognitive impairment. Therefore, alcohol could act as a trigger for iron-induced neuroinflammation and cognitive decline. Overall, the mechanisms at play here seem to strongly link alcohol with cognitive decline, with neuroinflammation resulting from alcohol-induced iron accumulation playing a pivotal role. Full article

Simultaneous carotid artery stenosis (CS) and coronary artery disease (CAD) is a common condition among patients with several cardiovascular risk factors; however, its optimal management still remains under investigation, such as the assumption that carotid disease is causally related to perioperative stroke and that preventive carotid revascularization decrease the risk of this complication. Synchronous surgical approach to both conditions, performing carotid endarterectomy (CEA) before coronary artery bypass graft (CABG) during the same procedure, should still be considered in selective patients, in order to reduce the risk of perioperative stroke during coronary cardiac surgery. For the same purpose, staged approaches, such as CEA followed by CABG or CABG followed by CEA during the same hospitalization or a few weeks later have been described. Hybrid approach with carotid artery stenting (CAS) and CABG can also be an option in selected cases, offering a minimally invasive procedure to treat CS among patients whom CABG cannot be postponed. When carotid intervention is indicated in patients with concomitant CAD requiring CABG, a personalized and tailored approach is mandatory, especially in asymptomatic patients, in order to define the ideal surgical strategy. The aim of this paper is to summarize the current “state of the art” of the different approaches to carotid artery diseases in patients undergoing CABG. Full article

The transportation sector is regarded as the main culprit in greenhouse gas emission in the urban network, particularly idling vehicles waiting at signalized intersections. Although autonomous vehicles can be a promising technology to tackle vehicle idling, their environmental benefits receive little attention compared with their safety and mobility issues. This study investigated the environmental benefits of autonomous vehicles equipped with an automatic idling control function based on the queue discharge time and traffic signal information transmitted from the traffic signal controller via V2I communication using microscopic mobility and emission simulation models, VISSIM and MOVES, in Haeundae-gu in Busan, Korea. This study found that the function contributes to a significant reduction in CO₂ emissions by 23.6% for all-inclusive emission and 94.3% for idling emission, respectively. Moreover, total reduced idling time accounts for 47.6% of the total travel time and 94.3% of the total idling time, respectively. Consequently, the autonomous vehicles equipped with automatic vehicle idling control function under C-ITS can play an important role in reducing greenhouse gas emissions and fuel consumption as well in the urban network. Full article

Introduction: Descending necrotizing mediastinitis is one of the most lethal forms of acute mediastinitis. It originates from an odontogenic or deep neck infection, which descends to the mediastinum through the fascial planes. It is a rare condition, but mortality rates remain high, especially in the presence of comorbidities or predisposing factors. Delay in diagnosis has been shown to be one of the most important factors for the disease outcome. Therefore, early diagnosis and treatment by a multidisciplinary team are of utmost importance. Case series: Four healthy young males with descending necrotizing mediastinitis were treated at our institution. None of them had any comorbidities, but all of them waited between 3 and 4 days before seeking medical help. Upon their arrival at the hospital, in addition to the presence of a severe neck infection, the presence of mediastinitis was also found. Despite the timely surgical treatment of both the source of the infection and the mediastinitis, three of the four cases had a fatal outcome. Conclusion: We believe that the time factor is of greater importance for the outcome of acute descending mediastinitis than the factors of age and presence of accompanying diseases. Proper and rapid treatment by a multidisciplinary team is essential, even for young and healthy people. Full article

The parameters of the roll characteristics of a large-scale round bale machine were collected in real time to investigate the bale rolling mechanism. This investigation develops a set of adaptable and highly integrated data acquisition systems for the bale rolling performance parameters of large-type round bale machines. A rolling experiment is conducted using sunflower straw as the material, and the power consumption and radial tension of the roller-round bale machine during the bale rolling process are studied. In the grass core formation stage, the round bale machine’s torque need was minimal, the radial tension of the bale remained nearly constant, and the bale chamber was primarily filled with loose sunflower straw. The motor torque and the straw bale’s radial tension both showed a tendency of gradual increase when the round bale machine was in the grass-filling stage. The motor torque and bale radial tension displayed a roughly linear trend of rapid rise as the sunflower straw continued to enter the rolling bale chamber; this was when the round bale machine was in the compressed bale rolling stage. When the power consumption of the round bale machine was measured using the data acquisition system during the test bench empty run and core-creation stage, the energy consumption comparison analysis produced a relative error of 5.8%. During the stage of bale rolling and compression, the data acquisition system monitored the power consumption of the round bale machine. The relative error was 9.5%. The data acquisition system of the round bale machine test bed has an accuracy of 90.5%–94.2% when measuring the machine’s power consumption, indicating that it is a stable and efficient system. This study provides a foundation for further research on intelligent the roller-round bale machine. Full article

Gastrointestinal tract perforation is uncommon in children, accounting for <10% of cases of blunt abdominal trauma. Diagnosis of bowel perforation in children can be challenging due to poor diagnostic imaging accuracy. Intra-abdominal free air is found only in half of the children with bowel perforation. Ultrasound findings are nonspecific and suspicious for perforation in only two-thirds of cases. A computer tomography (CT) scan has a sensitivity and specificity of 50% and 95%, respectively. Surgical decisions should be made based on clinical examination despite normal CT results. Management of bowel perforation in children includes primary repair in 50–70% and resection with anastomosis in 20–40% of cases. Full article

Chronic school absenteeism is a common problem in childhood and adolescence, and it is frequently observed in patients with somatic symptom and related disorders (SSRDs). This study aimed to determine whether and to what extent the presence of school absenteeism may be a risk factor for the diagnosis of SSRDs in hospitalised patients. This matched cohort study included children and adolescents aged between 8 and 17 years, admitted to the paediatric ward of the IRCCS Burlo Garofolo in Trieste from 2021 to 2023, who were divided into two groups, the first including children with at least 15 days of absence from school for medical reasons and the second including children with regular school attendance, matched to the former group by age and sex. We consecutively enrolled 70 patients, 35 in the absentee group and 35 in the control group. In the absentee group, 30/35 (85.7%) patients were diagnosed with an SSRD, while in the control group, 1/35 (2.9%) was diagnosed with an SSRD. The absentee group had a 30-fold higher risk of being diagnosed with SSRDs than the control group (RR = 30 [95% CI = 4.3–208]; p < 0.001). This study shows that in hospitalised children, a history of school absenteeism of more than two weeks is an important risk factor for the diagnosis of SSRDs. Full article

For decades, linguists have been working to formulate an objective means of distinguishing dialects from languages, but dialect recognition has largely remained a subjective enterprise. Only recently have some studies proposed a processing-based psycholinguistic approach toward dialect recognition. These studies argued that dialect words are stored as a co-dependent representation, not as an independent representation of the words of bilingual speakers. Based on these studies, we investigated the lexical selection and processing mechanisms of bilingual and bidialectal speakers of two understudied languages, Oromo and Amharic, using the picture–word interference paradigm. We found independent lexical representations for both the bilingual and the bidialectal groups, which implies the involvement of the same cognitive mechanisms in both language and dialect processing. Thus, we argue that bidialectal speakers have flexible lexical representation and selection mechanisms that are dependent on the speakers’ previous language experience. Here, we propose a dynamic lexical selection model that accommodates diverse dialect ecologies. Full article

This article explores transgenerational return migration to Galicia, Spain, focusing on participants of the Scholarships for Outstanding Youth Abroad (BEME) programme. It examines how descendants of Galician emigrants, primarily grandchildren and great-grandchildren of Galician emigrants to Latin America, engage with the Spanish and Galician languages. Drawing on semi-structured interviews with 30 participants, the article explores participants’ language ideologies regarding Galician as a minoritised language and Spanish as a global language. This article highlights the role of language as a symbolic resource in transgenerational return migration, offering a sociolinguistic perspective to the understanding of this migration phenomenon. Full article

Sophora alopecuroides L., a perennial herb in the arid and semi-arid regions of northwest China, has the ecological functions of windbreaking and sand fixation and high medicinal value. In recent years, global warming and human activities have led to changes in suitable habitats for S. alopecuroides, which may affect the accumulation of natural products. In this study, MaxEnt 3.4 and ArcGIS 10.4 software were used to predict the distribution of potentially suitable habitats for S. alopecuroides in China under climate change. Furthermore, the geographical distribution of S. alopecuroides as affected by human activities, the differences in the content of natural products of S. alopecuroides between different suitable habitats, and the correlation between natural products and environmental factors were analyzed. The results showed that suitable habitats for S. alopecuroides were projected to expand in the future, and the major environmental factors were temperature (Bio1), rainfall (Bio18), and soil pH (pH). When Bio1, Bio18, and pH were 8.4283 °C, 7.1968 mm, and 9.9331, respectively, the distribution probability (P) of S. alopecuroides was the highest. After adding a human activity factor, the accuracy of the model prediction results was improved, and the area of suitable habitats was greatly reduced, showing a fragmented pattern. Meanwhile, habitat suitability had a specific effect on the content of natural products in S. alopecuroides. Specifically, the content of natural products in S. alopecuroides in wild habitats was higher than that in artificial cultivation, and highly suitable habitats showed higher contents than those in non-highly suitable habitats. The contents of total alkaloids and total flavonoids were positively correlated with human activities and negatively correlated with land use types. Among them, total alkaloids were negatively correlated with aspect, and total flavonoids were positively correlated with aspect. In addition, it is suggested that Xinjiang should be the priority planting area for S. alopecuroides in China, and priority should be given to protection measures in the Alashan area. Overall, this study provides an important foundation for the determination of priority planting areas and resource protection for S. alopecuroides. Full article

Crowdsourced spatial analytics is a rapidly developing field that involves collecting and analyzing geographical data, utilizing the collective power of human observation. This paper explores the field of spatial data analytics and crowdsourcing and how recently developed tools, cloud-based GIS, and artificial intelligence (AI) are being applied in this domain. This paper examines and discusses cutting-edge technologies and case studies in different fields of spatial data analytics and crowdsourcing used in a wide range of industries and government departments such as urban planning, health, transportation, and environmental sustainability. Furthermore, by understanding the concerns associated with data quality and data privacy, this paper explores the potential of crowdsourced data while also examining the related problems. This study analyzes the obstacles and challenges related to “geospatial crowdsourcing”, identifying significant limitations and predicting future trends intended to overcome the related challenges. Full article

Hydrogen peroxide (H₂O₂) is a signaling molecule that has the capacity to control a variety of biological processes in organisms. Cancer cells release more H₂O₂ during abnormal tumor growth. There has been a considerable amount of interest in utilizing H₂O₂ as a biomarker for the diagnosis of cancer tissue. In this study, an electrochemical sensor for H₂O₂ was constructed based on 3D reduced graphene oxide (rGO), MXene (Ti₃C₂), and multi-walled carbon nanotubes (MWCNTs) composite. Three-dimensional (3D) rGO–Ti₃C₂–MWCNTs sensor showed good linearity for H₂O₂ in the ranges of 1–60 μM and 60 μM–9.77 mM at a working potential of −0.25 V, with sensitivities of 235.2 µA mM⁻¹ cm⁻² and 103.8 µA mM⁻¹ cm⁻², respectively, and a detection limit of 0.3 µM (S/N = 3). The sensor exhibited long-term stability, good repeatability, and outstanding immunity to interference. In addition, the modified electrode was employed to detect real-time H₂O₂ release from cancer cells and cancer tissue ex vivo. Full article

Islam is widely spread throughout every corner of China, with the Hui people, the largest Muslim ethnic group in China, numbering over 10 million people, serving as its main carrier. Their culture types and local features exhibit great diversity across different provinces. The ceremony of Prophet’s Day or Mawlid al-Nabi in China, as one of the three fundamental festivals of the Hui people alongside Eid al-Fitur and Eid al-Qurban, appears to be more comprehensive, open, and localized. Drawing from fieldwork in three Hui communities—Xi’an in Shaanxi province, Najiaying in Yunnan province, and Hezhou in Gansu province—this paper approaches the topic from the perspective of inculturation and cultural innovation. It aims to describe the ritual processes observed in these three different Hui communities and discuss how the Hui people integrate Islam with traditional Chinese culture in their local contexts, with the intention of forming and preserving their own cultural characteristics. Full article

The late Roman discourse on divinatory dreams and their interpretation reflects a context of cultural fragmentation. The political turbulence of the 350s to 360s was due partly to the ongoing external war with the (Persian) Sasanians, but also to the internal struggle between the heirs of Constantine for rule over the Roman empire, still undergoing a process of Christianization when Julian was acclaimed Augustus in 360. A third arena of fragmentation was religious beliefs and practices during the 350s and 360s. The contested transformation of Rome in the religious sphere was the context of Julian’s dynastic vision of the two trees, received in late 358 or 359. Full article

In the majority of Abhidharmic Buddhist schools, smṛti serves the crucial function of ensuring the recollection of past events and is thus conceptualized as memory in scholarly discourse nowadays. Nevertheless, upon closer examination of various doctrinal perspectives, the interpretation of smṛti diverges significantly among different schools. Notably, it is deemed to be omnipresent in every moment of perception within the Sarvāstivādin tradition, while in Yogācāra, it is regarded as a specific response to an experienced object. This paper seeks to delve into the concept of smṛti within the latter tradition, with a specific focus on the Cheng Weishi Lun (成唯識論, henceforth: CWSL). Drawing upon the foundational principles of Yogācāra doctrine, which posit the ālayavijñāna as an underlying substratum responsible for retaining past information, I contend that smṛti embodies a cognitive faculty that intensifies the apprehension of learned objects when they are present. Furthermore, I argue that smṛti serves as the inception point for a series of cognitive processes acquiring knowledge that helps decision-making. Additionally, I will demonstrate that the function of smṛti in the CWSL diverges from both traditional Buddhist conceptions of memory and contemporary understandings thereof. Full article

The International Regulations for Preventing Collisions at Sea 1972 (COLREGs) have been the cornerstone of maritime navigation since their introduction. Knowledge and implementation of these rules are paramount in collision avoidance at sea. However, terms found in these rules are sometimes imprecise or fuzzy, as they are written by humans for humans, giving them some freedom in interpretation. The term Very Large Ship used in Rule 7 of the COLREGs is, by its nature, fuzzy. While human navigators understand this term’s meaning, it could be challenging for machines or autonomous ships to understand such an unprecise expression. Fuzzy sets could easily describe unprecise terms used in maritime navigation. A fuzzy set consists of elements with degrees of membership in a set, making them perfect for interpreting some terms where boundaries are unclear. This research was conducted among 220 navigational experts to describe linguistic variables used in maritime regulations. This research consists of an internationally distributed questionnaire. Membership data were collected with the adapted horizontal method, and the results were statistically analyzed, followed by regression analyses to describe the range and shape of membership functions. A conceptual model of the implementation of linguistic variables is presented. The novelty of this study derives from the data collecting, modeling, and quantification of the important but neglected linguistic term Very Large Ship based on a large number of navigational experts. The same quantification method could be easily used for other COLREGs linguistic variables, which could easily lift barriers to advances in intelligent solutions based on fuzzy sets. The obtained quantified fuzzy sets can be used in decision support or control systems used by conventional or autonomous ships in the future. Full article

High-rise timber residential towers (≥eight-stories) represent a burgeoning and auspicious sector, predominantly due to their capability to provide significant ecological and financial advantages throughout their lifecycle. Like numerous other building types, spatial optimization in high-rise timber residential structures stands as a pivotal design factor essential for project viability. Presently, there exists no comprehensive investigation on space efficiency in such towers. This study analyzed data from 51 case studies to enhance understanding of the design considerations influencing space efficiency in high-rise timber residential towers. Key findings included (1) the average space efficiency within the examined cases was recorded at 83%, exhibiting variances ranging from 70% to 93% across different cases, (2) the average percentage of core area to gross floor area (GFA) was calculated at 10%, demonstrating fluctuations within the range of 4% to 21% across diverse scenarios, and (3) no notable distinction was observed in the effect of various core planning strategies on spatial efficiency when properly designed, and similar conclusions were drawn regarding building forms and structural materials. This research will aid in formulating design guidelines tailored for various stakeholders such as architectural designers involved in high-rise residential timber building developments. Full article

Hereditary transthyretin amyloidosis (hATTR) is a multisystemic, rare, inherited, progressive and adult-onset disease, affecting the sensory-motor nerves, heart, autonomic function, and other organs. There are over 130 mutations known in the TTR gene. The His90Asn mutation has been previously reported in several reports, but its pathogenetic role is still debated. We report two sporadic cases of adult women with a heterozygous His90Asn mutation in TTR gene and neurological involvement extensively investigated. A typical Congo red-positive pathologic deposition of amyloid fibrils in the salivary glands was documented in one subject. Patients were successfully treated with patisiran with a good clinical outcome. These data support a pathogenetic role of His90Asn mutation in hATTR, and suggest early treatment in symptomatic carriers of His90Asn mutation. Full article

Interest in psychosocial predictors of doping has been increasing as a way of finding new approaches to reduce the use of performance-enhancing drugs. This investigation aimed to test the psychometric properties of an instrument to assess doping attitudes in Brazilian athletes. The PEAS was validated in Brazilian sports through a process of translation, back-translation and content validity assessment, presenting satisfactory evidence based on its content (CVC > 0.80). Then, 994 athletes from different sexes, types of sports and competitive levels answered the Brazilian version of the PEAS. The results showed satisfactory evidence of validity based on its response process, internal structure (X²/df = 2.04; RMSEA = 0.032 (0.026–0.038); CFI = 0.96; TLI = 0.95) and reliability (Cronbach’s α, McDonald’s ω and CR > 0.70). Network analysis was also used to further explore the PEAS’s internal structure. Overall, the results provide support for the adoption of the PEAS for Brazilian athletes and possibly other Portuguese-speaking countries. Full article

In 2019, the International Consortium for Personalised Medicine (ICPerMed) developed a vision on how the use of personalized medicine (PM) approaches will promote “next-generation” medicine in 2030 more firmly centered on the individual’s personal characteristics, leading to improved health outcomes within sustainable healthcare systems through research, development, innovation, and implementation for the benefit of patients, citizens, and society. Nevertheless, there are significant hurdles that healthcare professionals, researchers, policy makers, and patients must overcome to implement PM. The ICPerMed aims to provide recommendations to increase stakeholders’ awareness on actionable measures to be implemented for the realization of PM. Starting with best practice examples of PM together with consultation of experts and stakeholders, a careful analysis that underlined hurdles, opportunities, recommendations, and information, aiming at developing knowledge on the requirements for PM implementation in healthcare practices, has been provided. A pragmatic roadmap has been defined for PM integration into healthcare systems, suggesting actions to overcome existing barriers and harness the potential of PM for improved health outcomes. In fact, to facilitate the adoption of PM by diverse stakeholders, it is mandatory to have a comprehensive set of resources tailored to stakeholder needs in critical areas of PM. These include engagement strategies, collaboration frameworks, infrastructure development, education and training programs, ethical considerations, resource allocation guidelines, regulatory compliance, and data management and privacy. Full article

Under the new wave of scientific and technological revolution, the construction industry finds itself with a critical need to alter the traditional and outdated production mode through technological innovation in order to realize industry transformation and move towards a new era characterized by digitalization, informatization, and intelligence. As intelligent construction is the indispensable pathway for the transformation and upgrading of the construction industry, it is of great significance to conduct in-depth research on its evaluation indicators and causality. This paper adopts the system dynamics method, based on the overall structure of intelligent construction, extracts the causality chain and causal feedback loop of intelligent construction, and presents a causality diagram and system dynamics diagram to build a robust system dynamics model for intelligent construction. On this basis, an evaluation index system for intelligent construction is constructed from the five dimensions—investment, design, construction, operation, and environment—for a holistic assessment of the current state of intelligent construction. The research aims to provide a valuable reference for professionals focusing on intelligent construction and the broader development of the industry. Full article

“Obesity”, is defined as a body mass index (BMI) ≥ 30. Yet the tool, BMI, has been shown to be flawed in its weight classing. BMI categories were made by relying nearly exclusively on data about middle-class white males, creating “the normal (white) man”. Yet, BMI continues to be used as a diagnostic tool, and is increasingly deployed to stigmatize fat persons as “diseased”. This has critical implications for women—especially Black women and Latinas—who have some of the highest BMIs in the country. But, despite the consternation over the size of the bodies women of color have, there are nearly no studies to date examining the relationship between BMI and rates of chronic illness by race and gender. In this study, we examined the associations between BMI and type 2 diabetes (T2D) for women across race in comparison to white men. Relying on 20 years of NHANES data, we found that while Latinas and Black women were nearly 3 times and over 5 times as likely to have T2D than white men, respectively, the association between BMI and T2D was significantly weaker for Latinas than for white men. The association between BMI and T2D was markedly weaker for Black women. This study shows that racial and gendered health disparities cannot be explained by differences in rates of “obesity” as defined by a white male norm. Full article