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This essay presents the professional journey and philosophical underpinnings of a visual artist, Chiara Passa, who has been deeply engaged with multimedia arts since 1996. Educated at the Academy of Fine Arts in Rome, the artist has explored the interplay between physical and virtual spaces using Virtual and Augmented Reality as tools to probe architectural concepts and challenge the static nature of places. The work often transcends traditional artistic boundaries to create immersive, interactive experiences that blend real and virtual worlds, encouraging viewers to engage actively with the artwork. Significant projects utilize augmented reality and artificial intelligence to offer dynamic and unexpected artistic encounters, reflecting on emptiness and space transformation themes. The artist’s work underscores a long-term commitment to integrating cutting-edge technology with artistic expression, contributing to the ongoing discourse on the role of digital technology in the evolution of art.

The conservation of endemic plant species has come into the global spotlight, not only because of their contribution to biodiversity but also their vulnerability and high extinction risk due to environmental and anthropogenic threats. Based on these developments, it is now essential to monitor and protect these species by applying integrated conservation strategies, especially in view of climate change, which is one of the most severe threats to plants. Genetic and genomic tools provide new potential in assessing and quantifying genetic diversity and thus can be utilized to devise conservation strategies and contribute to biodiversity conservation efforts. Greece comprises a plant biodiversity hotspot in the Mediterranean Basin with a wide variety of rare, threatened, and endemic plant taxa. In this review, we examine several cases where a broad spectrum of genetic tools has been utilized so far in the diversity assessment and conservation management of Greek Endemic Plants (GEPs). Following an extensive database search, we have identified and included in our final data collection 19 studies concerning 32 GEPs for which molecular markers have been used for the determination of population genetic structure and diversity assessment, while at the same time, the research outcomes have been taken into consideration for conservation management. The limited application of genetic and genomic tools in GEP management is demonstrated, while the significance of implementing a comprehensive conservation strategy that will integrate genetic analyses and the data derived therein is also highlighted.

Landraces and indigenous varieties comprise valuable sources of crop species diversity. Their utilization in plant breeding may lead to increased yield and enhanced quality traits, as well as resilience to various abiotic and biotic stresses. Recently, new approaches based on the rapid advancement of genomic technologies such as deciphering of pangenomes, multi-omics tools, marker-assisted selection (MAS), genome-wide association studies (GWAS), and CRISPR/Cas9 gene editing greatly facilitated the exploitation of landraces in modern plant breeding. In this paper, we present a comprehensive overview of the implementation of new genomic technologies and highlight their importance in pinpointing the genetic basis of desirable traits in landraces and indigenous varieties of annual, perennial herbaceous, and woody crop species cultivated in the Mediterranean region. The need for further employment of advanced -omic technologies to unravel the full potential of landraces and indigenous varieties underutilized genetic diversity is also indicated. Ultimately, the large amount of genomic data emerging from the investigation of landraces and indigenous varieties reveals their potential as a source of valuable genes and traits for breeding. The role of landraces and indigenous varieties in mitigating the ongoing risks posed by climate change in agriculture and food security is also highlighted.

BackgroundTranscranial magnetic stimulation (TMS) is a widely used noninvasive brain stimulation technique for psychiatric and cognitive disorders. In recent years, deep TMS (dTMS) has shown promise as an enhanced form of TMS able to stimulate deeper brain structures and target broader networks. Various magnetic Hesed-coil (H-coil) designs—a novel feature of dTMS—have been used to stimulate brain regions implicated in the pathophysiology of specific psychiatric and cognitive disorders, thereby producing therapeutic effects. Given the novelty of dTMS in psychiatry, little is known about the clinical efficacy of dTMS across psychiatric and cognitive disorders—that is, whether dTMS performs superiorly to sham or control. ObjectiveIn this paper, we outline a protocol for a systematic review investigating the clinical efficacy of dTMS. The primary objective is to conduct a systematic review of the literature on dTMS for psychiatric and cognitive disorders and, if feasible, a meta-analysis to compare the efficacy of active dTMS versus sham/control for psychiatric disorders. Dementia and related cognitive disorders will also be examined. A secondary objective will be to examine subgroup differences (by age, sex, H-coil design, and dTMS parameters [ie, pulses per session, percentage of motor threshold, etc]) to evaluate whether dTMS differentially influences clinical outcomes based on these factors. MethodsA comprehensive search of the APA PsycINFO, Embase, MEDLINE, and PubMed databases will be conducted using keywords such as “H-coil” and “dTMS.” Two authors (AD and MD) will be responsible for screening relevant articles, assessing article eligibility (according to predetermined inclusion and exclusion criteria), and data extraction. All included articles will undergo a quality and risk of bias assessment. Data from included articles will be summarized qualitatively in a systematic review. If a sufficient number of equivalent studies are available, a meta-analysis will be performed to (1) determine the effect of active versus sham dTMS (or another control arm) across psychiatric and cognitive disorders, and (2) examine subgroup effects of clinical outcomes. ResultsThe preliminary search rendered a total of 1134 articles from the APA PsycINFO, Embase, and MEDLINE databases. After full-text screening, 21 eligible articles remained. One additional article was identified from the references section of an existing systematic review. In total, 22 eligible articles were included. Data extraction and quality of assessment procedures are ongoing. ConclusionsWe will outline the evidence relating to the clinical efficacy of dTMS in various psychiatric and cognitive disorders. The results of the prospective systematic review will provide clinicians with valuable insight into the clinical (ie, participant age, sex, psychiatric or cognitive disorder, etc) and methodological factors (ie, H-coil design, dTMS parameters, etc) which may contribute to dTMS efficacy, and thereby may assist clinicians in their decision to prescribe dTMS for specific psychiatric and cognitive disorders. Trial RegistrationPROSPERO CRD42022360066; https://tinyurl.com/5ev6byrn International Registered Report Identifier (IRRID)DERR1-10.2196/45213

The size of organic waste materials plays a pivotal role in the composting process, influencing parameters such as decomposition rate, microbial activity, aeration, and nutrient availability. Currently, the study of compost has focused on the degradatiom of organic matter. The study began by varying the sizes of oil palm EFB to 1-3, 3-5, and 5-7 cm. Subsequently, the EFB were placed into a basket composter (33 cm length x 23 cm width x 40 cm height), and active organic liquid fertilizer was added to achieve a moisture content of around 55-65%. The observation period lasted for 60 days. Throughout the composting process, the moisture content was maintained at 55-65% by adding active organic liquid fertilizer, and the composter was turned every 3 days. Analyzed parameters during the composting process included temperature, pH, volatile suspended solids, electrical conductivity, and water holding capacity. The best results were obtained with a cutting size of 3-5 cm, yielding the following values: temperature 26.75 °C, pH 7.5, volatile suspended solids 211,640 mg/L, electrical conductivity 4.05 dS/m, and water holding capacity 65%.

Pain and depression frequently co-occur. Due to its antidepressant and analgesic properties, ketamine has been used for the management of treatment-resistant depression and pain. This systematic review examined the literature on the efficacy of sub-anesthetic doses of ketamine in individuals experiencing comorbid depression and chronic pain (CDCP), as well as comorbid depression and acute pain (CDAP). A secondary objective was to provide an assessment of dosage, route, and adverse effects of ketamine treatment for CDCP and CDAP. A literature search was conducted on MEDLINE, PsycINFO, and Embase databases, coupled with a manual screening of the bibliography sections of included articles. In addition, registered ongoing and planned trials were searched on Clinicaltrials.gov. The end date of the search was April 9th, 2022. Included studies assessed changes in depression and pain in patients receiving at least one sub-anesthetic dose of ketamine. Assessment of quality was conducted using the GRADE checklist. Of the 7 CDCP clinical trials, 3 reported a reduction in depression and pain, 3 reported a reduction in depression or pain only, and 1 reported no improvement in either comorbidity. Among the 7 CDAP clinical trials, 4 studies found improvements in depression and pain while the remaining 3 reported improvements in only one parameter. Ten of the 12 case studies and 2 of the 3 observational studies assessing CDCP and CDAP found improvements in pain and depression scores post-treatment with effects of variable duration. The planned methodologies of the registered clinical trials are in line with those of the published research. Preliminary evidence supports the efficacy of ketamine in treating CDCP and CDAP. However, the current review identified a small number of heterogeneous studies with mixed results, preventing comprehensive conclusions. More longitudinal placebo-controlled studies are needed to identify the effects of ketamine for patients with CDCP and CDAP.

Volatile Organic Compounds (VOCs) over the harvest period have been assessed in twenty-five strawberry genotypes cultivated in western Greece. Using liquid–liquid extraction and gas chromatography–mass spectrometry (GC–-MS), twenty-eight volatiles were monitored at early (T1) and mid-harvest (T3) time points to investigate the effect of the genotype and harvest time on strawberry volatilome. A quantitative impact of both harvest date and genotype on VOCs associated with aroma was demonstrated, with the most significant VOCs being terpenes, esters, and acids, followed by lactones and furanones. Harvest date was crucial for terpenoid and phenylpropanoid content, and important for esters, short-chain acids, and lactones. Six out of the twenty-five genotypes (four commercial varieties, including ‘Rociera’, ‘Victory’, ‘Leyre’, and ‘Inspire’, and two advanced selection genotypes (G2 and G8) were evaluated at two additional time points, covering the entire harvest season. The volatile levels were higher in fruits harvested at early stages (T1–T2) for most of the genotypes examined. The G2 genotype turned out to have a less ample but more stable volatile profile throughout harvesting, while ‘Victory’, ‘Leyre’, and ‘Inspire’ exhibited less abrupt changes than ‘Rociera’. This study demonstrates that the determination of VOCs provides significant information regarding the differences in strawberry genotypes related to aroma and enables the selection of genotypes based on specific VOCs content and/or volatile stability over the harvest period. Furthermore, this study pinpoints that growers could opt for optimal harvest dates based on the genotypes and the VOC content.

A major goal in Engineering Biology and Materials Science is the development of active, autonomous scaffolds that mimic those present in biological cells. Here the authors report a toolkit for programming the dynamic behaviour of nucleic acid scaffolds in minimal cell-like compartments.

Preliminary evidence supports the use of psychedelics for major depressive disorder (MDD). However, less attention has been given to the neural mechanisms behind their effects. We conducted a systematic review examining the neuroimaging correlates of antidepressant response following psychedelic interventions for MDD. Through MEDLINE, Embase, and APA PsycINFO, 187 records were identified and 42 articles were screened. Six published studies and one conference abstract were included. Five ongoing trials were included from ClinicalTrials.gov. Our search covered several psychedelics, though included studies were specific to psilocybin, ayahuasca, and lysergic acid diethylamide. Three psilocybin studies noted amygdala activity and functional connectivity (FC) alterations that correlated with treatment response. Two psilocybin studies reported that FC changes in the medial and ventromedial prefrontal cortices correlated with treatment response. Two trials from a single study reported global decreases in brain network modularity which correlated with antidepressant response. One ayahuasca study reported increased activity in the limbic regions following treatment. Preliminary evidence suggests that the default mode and limbic networks may be a target for future research on the neural mechanisms of psychedelics. More data is required to corroborate these initial findings as the evidence summarized in this review is based on four datasets.

Drag queens epitomise gender fluidity, where the heteronormative binarism male/female is blurred and parodied. Their unconventional nature is reflected in the structure of their community, where they have created alternatives to the heteronormative family, which is historically based on heterosexual marriage and parenthood. Drag families are to be seen as places of personal and financial support, a refuge for young gay men who have been rejected by their “real” families and have financial problems. This study seeks to give prominence to the construction of parenthood in RuPaul’s Drag Race (2009-2021) by analysing the discourse – i. e. the system of statements – around drag family, parenthood and sisterhood in a corpus of 174 episodes. The research is carried out in the light of Corpus Linguistics, with the use of #Lancsbox, a software for the analysis of language data and corpora.

Despite being an animated sitcom, The Simpsons is a satire of contemporary American society and culture. This article intends to apply a queer perspective to Audiovisual Translation Studies, in line with what Flotow (2019) defined the third approach to gender-focused audiovisual translation, that is, the investigation of gay and queer source texts and their treatment in the target text. This study deals with the process of sexualisation of fictional gay men through fictional gayspeak. The analysis focuses on excerpts where the Italian dubbing departs from the original, and the strategies that have been used to reproduce gayspeak into Italian. The investigation rests on the idea that translation is a gender-constructing activity implying the queering of the target text, which is a process that varies from language to language.

The objective of the study is to introduce an experimental un¬cer¬tainty budget process for concrete compressive strength test, based on a pro¬to¬col that incorporates effects of multiple factors significant for the measure¬ment result. The proposed procedure is rather useful for laboratories seeking accreditation according to ISO/IEC 17025, in order to emphasize the contri¬bu¬tion of type A uncertainty estimations, rather than relying on type B estimations that are unable to address the correlation between those factors. Two indepen¬dent experiments were performed. Experiment I is proposed as a simple, suit¬ably designed, reproducibility trial for laboratories performing EN 12390 test method, i.e. when a specified nominal curing age is targeted, following experi¬mental design on multiple uncertainty parameters. A sensitivity analysis was introduced based on a semi-empirical multifactorial regression model (experi¬ment II) for concrete compressive strength as a function of specimen�s curing age and W/C ratio. The present study is an effort towards an integrated and standardized method for experimental, semi-empirical multifactorial re¬gression estimation of the uncertainty budget for the EN 12390 test method, being useful, also, as a baseline for internal quality control programs when ad¬justed for the specific characteristics of concrete specimens tested by a laboratory

Lignocellulosic biomass is an abundant resource that can be valorized for the production of bioenergy. However, studies aiming to quantify the amount of biogas production potential per km forest road are scarce in the literature. In this study, fresh pine needles, pine needle litter, pine branches, and pine bark were digested in batch reactors under mesophilic conditions after a grinding/milling pre-treatment. All samples were collected from a low-altitude Mediterranean Pinus forest (North Greece) adjacent to a category G forest road with a gentle slope. The methane yield of fresh pine needles was between 115 and 164 NmL g−1 volatile solids (VS), depending on the Pinus tree size. Pine needle litter produced a significantly lower methane yield (between 58 and 77 NmL g−1 VS), followed by pine bark (85 NmL g−1 VS) and pine branches (138 NmL g−1 VS). Considering the quantity of pine needle litter accumulated on adjacent forest roads (600 ± 200 g m−2), it was possible to calculate the biomethane production potential per km of forest road (up to 500 Nm3 km−1) if the biomass collected was disposed of at an anaerobic digestion facility. The results of the study demonstrate that residual forest biomass represents an additional resource for bioenergy production. Moreover, harvesting residual forest biomass can decrease the incidence of devastating summer forest fires and their disastrous consequences for the environment, the economy, and the local populations.

In the frame of an extended research program dealing with wood shavings utilization in mortar, a set of procedures were developed for verifying effects of wood shavings addition to specific mortar properties. Mixes containing wood shavings replacing fine aggregates by 0, 30, 50 and 70% of their volume were made. Workability, fresh mortar unit weight, ultrasonic pulse velocity (UPV) and flexural and compressive strength were determined, based on measurements, at various curing ages. Measurement results and analysis suggest that compressive strength reduction caused by wood shavings addition could be predicted. The outcome was standardized in the form of a multifactorial sigmoidal model. It was also made evident that the mix proportion of cement increases when wood shavings are used as a by volume replacement of conventional fine aggregates, due to the low value of specific gravity of wood compared to conventional aggregates. Another procedure is suggested based on mass and volume measurements aiming at the verification of the mix proportions in the final mortar mixture.

Communities In Schools, Inc. (CIS) is a nationwide initiative designed to connect needed community resources with schools to help students, particularly those identified as at-risk, successfully learn, stay in school, and prepare for life. As part of a comprehensive 5-year national evaluation of CIS, ICF International conducted a school-level quasi-experimental study on 123 CIS high schools and 123 matched comparison high schools, using public use data from 7 different states. The study examined the differences in high school dropout and graduation rates between CIS and its comparison schools over a 4-year period, starting from the year prior to CIS implementation to 3 years after implementation. Our analyses showed that CIS high schools made stronger gains in on-time graduation rates, and had greater reductions in dropout rates, than comparison schools over the same period. Results were considerably stronger for CIS schools that implemented the CIS model with a high degree of fidelity. (Contains 8 tables, 2 figures, and 2 footnotes.)

Representative perlite bulk rock samples from two areas of Milos Island, Greece were collected and the expansion properties of their industrial product were investigated. Coarse crude perlite from Tsigrado exhibits better expansibility, which is assigned to the presence of coarser crystallites in its bulk parent rock. During thermal treatment, the finer crystallites of the coarse crude perlite from Trachilas are entrapped in the groundmass and lead to overheating, which inhibits expansion and eventually results in shrinkage. Geochemical modification of the expanded perlites relative to their crude precursors were investigated, using the isocon method. Volatilisation of crystalline water is the main factor controlling mass reduction of the expanded perlites. Other elements, during the adequate expansion of the Tsigrado perlite, can be classified into three categories. The elements that participate preferentially in crystals decrease in the expanded material at amounts higher than the total mass loss of the rock, due to their escape controlled mainly by the removal of the crystalline phases. The elements equally participating in crystals and the groundmass show losses equivalent to the total mass loss of the rocks, as they escaped in the crystalline phases and airborne particles from the groundmass during thermal treatment. Decrease of highly incompatible elements, which mostly participate in the groundmass, in the expanded products is less than the total mass loss, as they escaped mainly in the airborne particles. The inadequate expansion and burst of the Trachilas perlite did not allow for a similar categorisation, due to random and unpredictable escape of the elements. We propose the application of this method to an artificial system to predict unexpandable mineral phases in bulk perlite, as well as elements that are most likely to participate in the amorphous perlite phase, which cannot be determined from a regular industrial production line. This graphical method may also predict environmental pollution of the atmosphere from the release of volatile compounds and airborne particles during thermal treatment of perlite or other processes of mineral treatment.

The "drug discovery pipeline" is a model used to describe product development activities in the pharmaceutical industry. Research has shown that this model struggles to explain certain drug development behavior because it does consider various legal, economic, and social forces. This begs the question: How can a more-representative drug discovery model be produced and what insights could be derived from the new model? This report attempts to address this question by applying Phaal et al.'s method of mapping industrial emergence to the pharmaceutical industry. Case studies of both asthma medications and administration methods were used to provide the data for analysis. A timeline of significant events, i.e. those of a scientific, economic, social, or legal nature, was developed for each treatment and administration method. Using the data collected, emergence maps were created for each of the treatment methods. The results confirm that many important contributors to drug discovery lay outside the traditional drug discovery pipeline. Consequently, an adaptation to the model is offered combining the traditional drug discovery pipeline model with Phaal et al.'s method, thereby exploiting the benefits of both. [ABSTRACT FROM AUTHOR]