bluuebunny/crossref_metadata_2025_split huggingface dataset:
Comparative assessment of deep belief network and hybrid adaptive neuro-fuzzy inference system model based on a meta-heuristic optimization algorithm for precise predictions of the potential evapotranspiration
Authors: Akiner Muhammed Ernur , Ghasri Mehdi 
Published: June 2024

AbstractAccurately predicting potential evapotranspiration (PET) is crucial in water resource management, agricultural planning, and climate change studies. This research aims to investigate the performance of two machine learning methods, the adaptive network-based fuzzy inference system (ANFIS) and the deep belief network (DBN), in forecasting PET, as well as to explore the potential of hybridizing the ANFIS approach with the Snake Optimizer (ANFIS-SO) algorithm. The study utilized a comprehensive dataset spanning the period from 1983 to 2020. The ANFIS, ANFIS-SO, and DBN models were developed, and their performances were evaluated using statistical metrics, including R2, $${R}_{adj}^2$$

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, NSE, WI, STD, and RMSE. The results showcase the exceptional performance of the DBN model, which achieved R2 and $${R}_{adj}^2$$

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values of 0.99 and NSE and WI scores of 0.99 across the nine stations analyzed. In contrast, the standard ANFIS method exhibited relatively weaker performance, with R2 and $${R}_{adj}^2$$

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values ranging from 0.52 to 0.88. However, the ANFIS-SO approach demonstrated a substantial improvement, with R2 and $${R}_{adj}^2$$

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values ranging from 0.94 to 0.99, suggesting the value of optimization techniques in enhancing the model’s capabilities. The Taylor diagram and violin plots with box plots further corroborated the comparative analysis, highlighting the DBN model’s superior ability to closely match the observed standard deviation and correlation and its consistent and low-variance predictions. The ANFIS-SO method also exhibited enhanced performance in these visual representations, with an RMSE of 0.86, compared to 0.95 for the standard ANFIS. The insights gained from this study can inform the selection of the most appropriate modeling technique, whether it be the high-precision DBN, the flexible ANFIS, or the optimized ANFIS-SO approach, based on the specific requirements and constraints of the application.
Improving mentalizing deficits in older age with region-specific transcranial direct current stimulation
Authors: Lischke Alexander , Pahnke Rike , Mäder Anna , Martin Andrew K. , Meinzer Marcus 
Published: June 2024

AbstractOlder adults have difficulties to detect the intentions, thoughts, and feelings of others, indicating an age-associated decline of socio-cognitive abilities that are known as “mentalizing”. These deficits in mental state recognition are driven by neurofunctional alterations in brain regions that are implicated in mentalizing, such as the right temporo-parietal junction (rTPJ) and the dorso-medial prefrontal cortex (dmPFC). We tested whether focal transcranial current stimulation (tDCS) of the rTPJ and dmPFC has the potential to eliminate mentalizing deficits in older adults. Mentalizing deficits were assessed with a novel mindreading task that required the recognition of mental states in child faces. Older adults (n = 60) performed worse than younger adults (n = 30) on the mindreading task, indicating age-dependent deficits in mental state recognition. These mentalizing deficits were ameliorated in older adults who received sham-controlled andodal tDCS over the rTPJ (n = 30) but remained unchanged in older adults who received sham-controlled andodal tDCS over the dmPFC (n = 30). We, thus, showed for the first time that anodal tDCS over the rTPJ has the potential to remediate age-dependent mentalizing deficits in a region-specific way. This provides a rationale for exploring stimulation-based interventions targeting mentalizing deficits in older age.
Cerebrovascular dysregulation and postoperative cognitive alterations after carotid endarterectomy
Authors: Sándor Ágnes Dóra , Czinege Zsófia , Szabó András , Losoncz Eszter , Tóth Krisztina , Mihály Zsuzsanna , Sótonyi Péter , Merkely Béla , Székely Andrea 
Published: June 2024

AbstractThere are controversial data about the effect of carotid endarterectomy regarding postoperative cognitive function. Our aim was to analyze the effect of cerebral tissue saturation monitored by near-infrared spectroscopy (NIRS) on cognitive function. Perioperative data of 103 asymptomatic patients undergoing elective carotid surgery under general anesthesia were analyzed. Preoperatively and 3 months after the operation, MMSE (Mini Mental State Examination) and MoCA (Montreal Cognitive Assessment) tests were conducted. For cerebral monitoring, NIRS was used, and the lowest rSO2 value and the degree of desaturation were calculated. Cognitive changes were defined as one standard deviation change from the preoperative test scores, defined as postoperative neurocognitive decline (PNCD) and cognitive improvement (POCI). PNCD was found in 37 patients (35.92%), and POCI was found in 18 patients (17.47%). Female gender, patients with diabetes, and the degree of desaturation were independently associated with PNCD. The degree of desaturation during the cross-clamp period negatively correlated with the change in the MoCA scores (R =  − 0.707, p = 0.001). The 15.5% desaturation ratio had 86.5% sensitivity and 78.8% specificity for discrimination. For POCI, a desaturation of less than 12.65% had 72.2% sensitivity and 67.1% specificity. POCI was associated with lower preoperative MOCA scores and a lower degree of desaturation. We found a significant relation between the change of postoperative cognitive function proven by the MoCA test and cerebral tissue saturation during the clamping period in patients undergoing carotid endarterectomy.
Minocycline Abrogates Individual Differences in Nerve Injury-Evoked Affective Disturbances in Male Rats and Prevents Associated Supraspinal Neuroinflammation
Authors: O’Brien Jayden A. , Austin Paul J. 
Published: June 2024

Abstract
Chronic neuropathic pain precipitates a complex range of affective and behavioural disturbances that differ markedly between individuals. While the reasons for differences in pain-related disability are not well understood, supraspinal neuroimmune interactions are implicated. Minocycline has antidepressant effects in humans and attenuates affective disturbances in rodent models of pain, and acts by reducing neuroinflammation in both the spinal cord and brain. Previous studies, however, tend not to investigate how minocycline modulates individual affective responses to nerve injury, or rely on non-naturalistic behavioural paradigms that fail to capture the complexity of rodent behaviour. We investigated the development and resolution of pain-related affective disturbances in nerve-injured male rats by measuring multiple spontaneous ethological endpoints on a longitudinal naturalistic foraging paradigm, and the effect of chronic oral minocycline administration on these changes. Disrupted foraging behaviours appeared in 22% of nerve-injured rats – termed ‘affected’ rats – and were present at day 14 but partially resolved by day 21 post-injury. Minocycline completely prevented the emergence of an affected subgroup while only partly attenuating mechanical allodynia, dissociating the relationship between pain and affect. This was associated with a lasting downregulation of ΔFosB expression in ventral hippocampal neurons at day 21 post-injury. Markers of microglia-mediated neuroinflammation were not present by day 21, however proinflammatory microglial polarisation was apparent in the medial prefrontal cortex of affected rats and not in CCI minocycline rats. Individual differences in affective disturbances following nerve injury are therefore temporally related to altered microglial morphology and hippocampal neuronal activation, and are abrogated by minocycline.

Graphical Abstract
Trajectories of Satisfaction with Life Following a Collective, Critical Life Event and Their Relationship with Sociodemographic Factors and Internal Migration: The Example of the German Reunification 1989/90
Authors: Hahm Stefanie , Altweck Laura , Schmidt Silke , Ulke Christine , Fleischer Toni , McLaren Thomas , Speerforck Sven , Schomerus Georg , Beutel Manfred E. , Brähler Elmar , Muehlan Holger 
Published: June 2024

AbstractThere are considerable interindividual differences in adjustment processes in satisfaction with life (SWL) following critical life events. We focused on a collective life event, the German reunification in 1989/90, which prompted fundamental changes in the political, social, and economic conditions to investigate the heterogeneity of short- and long-term trajectories of SWL and their association with sociodemographic factors and internal migration. Using data (short-term: 1990–1994, long-term: 1990–2019) from the German Socioeconomic Panel (N = 5548), we applied growth mixture modelling with categorical time for short-term and continuous (quadratic) time for long-term trajectories. Multinomial logistic regression was used to examine associations of the trajectories with internal migration (West German (reference)/East German non-migrants, East-West/West-East migrants), baseline characteristics (sex, age, education, marital status, employment status, household income) and changes (becoming not employed, becoming divorced/separated, change in household income). The best models indicated four classes both long- and short-term, with the majority showing high stable SWL (86.7% (short-term) vs. 62.3% (long-term)); other classes were ‘improvement’ (2.5%, vs. 16.4%), ‘decline-improvement’ (5.2% vs. 9.4%), and ‘decline’ (5.6% vs. 11.9%). For short-term trajectories, East German non-migrants and East-West migrants were more likely to show unstable trajectories. Long-term, both East German non-migrants and East-West migrants had higher odds of increasing SWL, whereas West-East migrants had higher chances for decline-improvement. Differential associations with baseline sociodemographic characteristics and changes thereof were found. The study highlights distinct SWL trajectories following the collective event of German reunification. These trajectories vary based on short- versus long-term perspectives, sociodemographic background, and internal migration patterns.
GPU-based key-frame selection of pulmonary ultrasound images to detect COVID-19
Authors: Torti Emanuele , Gazzoni Marco , Marenzi Elisa , Leporati Francesco 
Published: June 2024

AbstractIn the last decades, technological advances have led to a considerable increase in computing power constraints to simulate complex phenomena in various application fields, among which are climate, physics, genomics and medical diagnosis. Often, accurate results in real time, or quasi real time, are needed, especially if related to a process requiring rapid interventions. To deal with such demands, more sophisticated approaches have been designed, including GPUs, multicore processors and hardware accelerators. Supercomputers manage high amounts of data at a very high speed; however, despite their considerable performance, their limitations are due to maintenance costs, rapid obsolescence and notable energy consumption. New processing architectures and GPUs in the medical field can provide diagnostic and therapeutic support whenever the patient is subject to risk. In this context, image processing as an aid to diagnosis, in particular pulmonary ultrasound to detect COVID-19, represents a promising diagnostic tool with the ability to discriminate between different degrees of disease. This technique has several advantages, such as no radiation exposure, low costs, the availability of follow-up tests and the ease of use even with limited resources. This work aims to identify the best approach to optimize and parallelize the selection of the most significant frames of a video which is given as the input to the classification network that will differentiate between healthy and COVID patients. Three approaches have been evaluated: histogram, entropy and ResNet-50, followed by a K-means clustering. Results highlight the third approach as the most accurate, simultaneously showing GPUs significantly lowering all processing times.
A systematic review of peer-reviewed gender literature in sustainability science
Authors: Frank Elisabeth , Mühlhaus Rike , Mustelin Katinka Malena , Trilken Esther Lara , Kreuz Noemi Katalin , Bowes Linda Catharine , Backer Lina Marie , von Wehrden Henrik 
Published: June 2024

AbstractWe conducted a systematic review of the available peer-reviewed literature that specifically focuses on the combination of sustainability and gender. We analyzed the existing peer-reviewed research regarding the extent to which gender plays a role in the empirical literature, how this is methodologically collected and what understanding of gender is applied in those articles. Our aim is to provide an overview of the current most common fields of research and thus show in which areas gender is already being included in the sustainability sciences and to what extent and in which areas this inclusion has not yet taken place or has only taken place to a limited extent. We identified 1054 papers that matched our criteria and conducted research on at least one sustainable development goal and gender research. Within these papers (i), the overall number of countries where lead authors were located was very high (91 countries). While the majority of lead authors were located in the Global North, less than a third of the articles were led by authors located in the Global South. Furthermore, gender is often just used as a category of empirical analysis rather than a research focus. We were able to identify (ii) a lack in coherent framing of relevant terms. Often no definition of sustainability was given, and only the sustainability goals (SDGs or MDGs) were used as a framework to refer to sustainability. Both gender and sustainability were often used as key words without being specifically addressed. Concerning the knowledge types of sustainability, our expectation that system knowledge dominates the literature was confirmed. While a problem orientation dominates much of the discourse, only a few papers focus on normative or transformative knowledge. (iii) Furthermore, the investigated literature was mainly contributing to few SDGs, with SDG 5 ‘Gender Equality’ accounting for 83% of all contributions, followed by SDG 8 ‘Decent Work and Economic Growth’ (21%), SDG 3 ‘Good Health and Well-being’ (15%) and SDG 4 ‘Quality Education’ (12%). We were additionally able to identify seven research clusters in the landscape of gender in sustainability science. (iv) A broad range of diverse methods was utilized that allow us to approximate different forms of knowledge. Yet within different research clusters, the spectrum of methodologies is rather homogeneous. (v) Overall, in most papers gender is conceptualized in binary terms. In most cases, the research is explicitly about women, running the risk that gender research in sustainability sciences grows into a synonym for women's studies.
Topographic and climatic effects on Pinus halepensis s.l. growth at its drought tolerance margins under climatic change
Authors: Sarris Dimitrios , Christodoulakis Dimitrios 
Published: June 2024

AbstractUnder global warming, drought will reduce productivity of Pinus halepensis s.l. (subspecies halepensis and brutia) and cause a retreat from its rear edge distribution (latitudinal/elevational) in the Mediterranean. To test whether topography can influence this scenario, we studied for approximately 40 years the growth of six natural pine stands in water-limited habitats on the islands of Zakinthos and Samos (eastern Mediterranean Greece), and determined the critical moisture sources that drove pine growth. Dominant pines were selected with no permanent water sources under contrasting moisture conditions created by topography (“wet”-gulley/valley vs. “dry”-upslope habitats). The responses of P. halepensis s.l. to drought under a moderate and a worst case scenario were tested, projected under global warming (approx. − 25% and 40% in annual precipitation compared to 1961–1990 average). Our results show that “wet” habitat pines had higher productivity under normal to wet climate. However, the more precipitation declined, “wet” habitat tree growth was reduced at a significantly faster rate, but also showed a faster recovery, once rainfall returned. Thus, Pinus halepensis s.l. populations in gullies/valleys, may be more drought resilient and less likely to retreat towards higher elevation/latitudes under global warming, compared to pines on dry upslope sites. Under moderate drought, both ecosystems relied on deeper moisture pools supplied by rainfall of the previous 3–6 years (including the year of growth). However, valley/gully habitat pines on significantly deeper soils (and probably on deeper heavily weathered bedrock), appeared to utilize surface moisture from winter/spring rainfall more efficiently for survival and recovery. Thus, deep soils may provide the key “buffer” for pine survival in such ecosystems that could act as potential refugia for P. halepensis s.l. under climate change.
The emerging role of robotics in plastic and reconstructive surgery: a systematic review and meta-analysis
Authors: Awad Laura , Reed Benedict , Bollen Edward , Langridge Benjamin J. , Jasionowska Sara , Butler Peter E. M. , Ponniah Allan 
Published: June 2024

AbstractThe role of robotics has grown exponentially. There is an active interest amongst practitioners in the transferability of the potential benefits into plastic and reconstructive surgery; however, many plastic surgeons report lack of widespread implementation, training, or clinical exposure. We report the current evidence base, and surgical opportunities, alongside key barriers, and limitations to overcome, to develop the use of robotics within the field. This systematic review of PubMed, Medline, and Embase has been conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PROSPERO (ID: CRD42024524237). Preclinical, educational, and clinical articles were included, within the scope of plastic and reconstructive surgery. 2, 181, articles were screened; 176 articles met the inclusion criteria across lymph node dissection, flap and microsurgery, vaginoplasty, craniofacial reconstruction, abdominal wall reconstruction and transoral robotic surgery (TOR). A number of benefits have been reported including technical advantages such as better visualisation, improved precision and accuracy, and tremor reduction. Patient benefits include lower rate of complications and quicker recovery; however, there is a longer operative duration in some categories. Cost presents a significant barrier to implementation. Robotic surgery presents an exciting opportunity to improve patient outcomes and surgical ease of use, with feasibility for many subspecialities demonstrated in this review. However, further higher quality comparative research with careful case selection, which is adequately powered, as well as the inclusion of cost-analysis, is necessary to fully understand the true benefit for patient care, and justification for resource utilisation.
Regulating the sharing economy: The effects of day caps on short- and long-term rental markets and stakeholder outcomes
Authors: Gauß Patrick , Gensler Sonja , Kortenhaus Michael , Riedel Nadine , Schneider Andrea 
Published: June 2024

AbstractHome sharing platforms have experienced a rapid growth over the last decade. Following negative publicity, many cities have started regulating the short-term rental market. Regulations often involve a cap on the number of days a property can be rented out on a short-term basis. We draw on rich data for short-term rentals on Airbnb and for the long-term rental market to examine the impact of short-term rental regulations with a day cap on various stakeholders: hosts, guests, the platform provider, and residents. Based on a difference-in-differences design, we document a sizable drop in Airbnb activity. Interestingly, not only targeted hosts (i.e., hosts with reservation days larger than the day cap), but also non-targeted hosts reduce their Airbnb activity. The reservation days of non-targeted hosts decrease between 26.27% and 51.89% depending on the treatment. Targeted hosts experience a similar decline. There is, nevertheless, significant non-compliance: more than one third of hosts do not comply with enacted short-term rental regulations. Additional analyses show that few properties are redirected from short-term rental to long-term rental use and that there is no significant drop in long-term rents. Drawing on a theoretical model, we tie the estimated effects to changes in stakeholders’ welfare: Regulations significantly reduce the welfare of hosts, and the loss ranges between 46.30% and 9.02%. The welfare loss of the platform provider is proportional to the loss of the hosts. Welfare of guests decreases moderately ranging between 4.5% to 4.1%. The welfare of residents increases minimal. These results question the effectiveness and desirability of the studied short-term rental regulations.
Weighted Breaths: Exploring Biologic and Non-Biologic Therapies for Co-Existing Asthma and Obesity
Authors: Pilkington Albert W. , Buragamadagu Bhanusowmya , Johnston Richard A. 
Published: June 2024

Abstract
Purpose of Review
To discuss the effectiveness of biologics, some of which comprise the newest class of asthma controller medications, and non-biologics in the treatment of asthma co-existing with obesity.

Recent Findings
Our review of recent preliminary and published data from clinical trials revealed that obese asthmatics respond favorably to dupilumab, mepolizumab, omalizumab, and tezepelumab, which are biologics currently indicated as add-on maintenance therapy for severe asthma. Furthermore, clinical trials are ongoing to assess the efficacy of non-biologics in the treatment of obese asthma, including a glucagon-like peptide-1 receptor agonist, a Janus kinase inhibitor, and probiotics.

Summary
Although many biologics presently indicated as add-on maintenance therapy for severe asthma exhibit efficacy in obese asthmatics, other phenotypes of asthma co-existing with obesity may be refractory to these medications. Thus, to improve quality of life and asthma control, it is imperative to identify therapeutic options for all existing phenotypes of obese asthma.
Bioaerosol Exposures and Respiratory Diseases in Cannabis Workers
Authors: Eidem Tess , Nordgren Tara , Hernandez Mark 
Published: June 2024

Abstract
Purpose of Review
This review investigates occupational inhalation hazards associated with biologically derived airborne particles (bioaerosols) generated in indoor cannabis cultivation and manufacturing facilities.

Recent Findings
Indoor cannabis production is growing across the US as are recent reports of respiratory diseases among cannabis workers, including occupational asthma morbidity and mortality. More information is needed to understand how bioaerosol exposure in cannabis facilities impacts worker health and occupational disease risk.

Summary
Preliminary studies demonstrate a significant fraction of airborne particles in cannabis facilities are comprised of fungal spores, bacteria, and plant material, which may also contain hazardous microbial metabolites and allergens. These bioaerosols may pose pathogenic, allergenic, toxigenic, and pro-inflammatory risks to workers. The absence of multi-level, holistic bioaerosol research in cannabis work environments necessitates further characterization of the potential respiratory hazards and effective risk prevention methods to safeguard occupational health as the cannabis industry continues to expand across the US and beyond.