bluuebunny/crossref_metadata_2025 huggingface dataset:
Blowflies are potential vector for avian influenza virus at enzootic area in Japan
Authors: Fujita Ryosuke , Tachi Takuji , Hino Masato , Nagata Kosuke , Saiki Masahiro , Inumaru Mizue , Higa Yukiko , Itokawa Kentaro , Uemura Nozomi , Matsumura Ryo , Kai Izumi , Sawabe Kyoko , Kobayashi Mutsuo , Isawa Haruhiko , Kusakabe Takahiro , Matsuo Kazunori , Kasai Shinji
Published: May 2024

High pathogenicity avian influenza (HPAI) poses a significant threat to both domestic and wild birds globally. The avian influenza virus, known for environmental contamination and subsequent oral infection in birds, necessitates careful consideration of alternative introduction routes during HPAI outbreaks. This study focuses on blowflies (genus Calliphora), in particular Calliphora nigribarbis, attracted to decaying animals and feces, which migrate to lowland areas of Japan from northern or mountainous regions in early winter, coinciding with HPAI season. Our investigation aims to delineate the role of blowflies as HPAI vectors by conducting a virus prevalence survey in a wild bird HPAI-enzootic area. In December 2022, 648 Calliphora nigribarbis were collected. Influenza virus RT-PCR testing identified 14 virus-positive samples (2.2% prevalence), with the highest occurrence observed near the crane colony (14.9%). Subtyping revealed the presence of H5N1 and HxN1 in some samples. Subsequent collections in December 2023 identified one HPAI virus-positive specimen from 608 collected flies in total, underscoring the potential involvement of blowflies in HPAI transmission. Our observations suggest C. nigribarbis may acquire the HPAI virus from deceased wild birds directly or from fecal materials from infected birds, highlighting the need to add blowflies as a target of HPAI vector control.
Evaluation of ChatGPT’s responses to information needs and information seeking of dementia patients
Authors: Saeidnia Hamid Reza , Kozak Marcin , Lund Brady D. , Hassanzadeh Mohammad
Published: May 2024

Many people in the advanced stages of dementia require full-time caregivers, most of whom are family members who provide informal (non-specialized) care. It is important to provide these caregivers with high-quality information to help them understand and manage the symptoms and behaviors of dementia patients. This study aims to evaluate ChatGPT, a chatbot built using the Generative Pre-trained Transformer (GPT) large language model, in responding to information needs and information seeking of such informal caregivers. We identified the information needs of dementia patients based on the relevant literature (22 articles were selected from 2442 retrieved articles). From this analysis, we created a list of 31 items that describe these information needs, and used them to formulate 118 relevant questions. We then asked these questions to ChatGPT and investigated its responses. In the next phase, we asked 15 informal and 15 formal dementia-patient caregivers to analyze and evaluate these ChatGPT responses, using both quantitative (questionnaire) and qualitative (interview) approaches. In the interviews conducted, informal caregivers were more positive towards the use of ChatGPT to obtain non-specialized information about dementia compared to formal caregivers. However, ChatGPT struggled to provide satisfactory responses to more specialized (clinical) inquiries. In the questionnaire study, informal caregivers gave higher ratings to ChatGPT's responsiveness on the 31 items describing information needs, giving an overall mean score of 3.77 (SD 0.98) out of 5; the mean score among formal caregivers was 3.13 (SD 0.65), indicating that formal caregivers showed less trust in ChatGPT's responses compared to informal caregivers. ChatGPT’s responses to non-clinical information needs related to dementia patients were generally satisfactory at this stage. As this tool is still under heavy development, it holds promise for providing even higher-quality information in response to information needs, particularly when developed in collaboration with healthcare professionals. Thus, large language models such as ChatGPT can serve as valuable sources of information for informal caregivers, although they may not fully meet the needs of formal caregivers who seek specialized (clinical) answers. Nevertheless, even in its current state, ChatGPT was able to provide responses to some of the clinical questions related to dementia that were asked.
Production, characterization, and application of Pseudoxanthomonas taiwanensis biosurfactant: a green chemical for microbial enhanced oil recovery (MEOR)
Authors: Purwasena Isty Adhitya , Amaniyah Maghfirotul , Astuti Dea Indriani , Firmansyah Yoga , Sugai Yuichi
Published: May 2024

Biosurfactants, as microbial bioproducts, have significant potential in the field of microbial enhanced oil recovery (MEOR). Biosurfactants are microbial bioproducts with the potential to reduce the interfacial tension (IFT) between crude oil and water, thus enhancing oil recovery. This study aims to investigate the production and characterization of biosurfactants and evaluate their effectiveness in increasing oil recovery. Pseudoxanthomonas taiwanensis was cultured on SMSS medium to produce biosurfactants. Crude oil was found to be the most effective carbon source for biosurfactant production. The biosurfactants exhibited comparable activity to sodium dodecyl sulfate (SDS) at a concentration of 400 ppm in reducing IFT. It was characterized as glycolipids, showing stability in emulsions at high temperatures (up to 120 °C), pH levels ranging from 3 to 9, and NaCl concentrations up to 10% (w/v). Response surface methodology revealed the optimized conditions for the most stable biosurfactants (pH 7, temperature of 40 °C, and salinity of 2%), resulting in an EI24 value of 64.45%. Experimental evaluations included sand pack column and core flooding studies, which demonstrated additional oil recovery of 36.04% and 12.92%, respectively. These results indicate the potential application of P. taiwanensis biosurfactants as sustainable and environmentally friendly approaches to enhance oil recovery in MEOR processes.
Breath-by-breath comparison of a novel percutaneous phrenic nerve stimulation approach with mechanical ventilation in juvenile pigs: a pilot study
Authors: Deininger Matthias Manfred , Ziles Dmitrij , Borleis Annegret , Seemann Teresa , Erlenkoetter Fabian , Bleilevens Christian , Lohse Arnhold , Benner Carl-Friedrich , Leonhardt Steffen , Walter Marian , Breuer Thomas
Published: May 2024

About one in three critically ill patients requires mechanical ventilation (MV). Prolonged MV, however, results in diaphragmatic weakness, which itself is associated with delayed weaning and increased mortality. Inducing active diaphragmatic contraction via electrical phrenic nerve stimulation (PNS) not only provides the potential to reduce diaphragmatic muscular atrophy but also generates physiological-like ventilation and therefore offers a promising alternative to MV. Reasons why PNS is not yet used in critical care medicine are high procedural invasiveness, insufficient evidence, and lack of side-by-side comparison to MV. This study aims to establish a minimal-invasive percutaneous, bilateral electrode placement approach for sole PNS breathing and thereby enable, for the first time, a breath-by-breath comparison to MV. Six juvenile German Landrace pigs received general anesthesia and orotracheal intubation. Following the novel ultrasound-guided, landmark-based, 4-step approach, two echogenic needles per phrenic nerve were successfully placed. Stimulation effectiveness was evaluated measuring tidal volume, diaphragmatic thickening and tomographic electrical impedance in a breath-by-breath comparison to MV. Following sufficient bilateral phrenic nerve stimulation in all pigs, PNS breaths showed a 2.2-fold increase in diaphragmatic thickening. It induced tidal volumes in the lung-protective range by negative pressure inspiration and improved dorso-caudal regional ventilation in contrast to MV. Our study demonstrated the feasibility of a novel ultrasound-guided, percutaneous phrenic nerve stimulation approach, which generated sufficient tidal volumes and showed more resemblance to physiological breathing than MV in a breath-by-breath comparison.
Deep-learning-based stock market prediction incorporating ESG sentiment and technical indicators
Authors: Lee Haein , Kim Jang Hyun , Jung Hae Sun
Published: May 2024

As sustainability emerges as a crucial factor in the development of modern enterprises, integrating environmental, social, and governance (ESG) information into financial assessments has become essential. ESG indicators serve as important metrics in evaluating a company’s sustainable practices and governance effectiveness, influencing investor trust and future growth potential, ultimately affecting stock prices. This study proposes an innovative approach that combines ESG sentiment index extracted from news with technical indicators to predict the S&P 500 index. By utilizing a deep learning model and exploring optimal window sizes, the study explores the best model through mean absolute percentage error (MAPE) as an evaluation metric. Additionally, an ablation test clarifies the influence of ESG and its causality with the S&P 500 index. The experimental results demonstrate improved predictive accuracy when considering ESG sentiment compared to relying solely on technical indicators or historical data. This comprehensive methodology enhances the advantage of stock price prediction by integrating technical indicators, which consider short-term fluctuations, with ESG information, providing long-term effects. Furthermore, it offers valuable insights for investors and financial market experts, validating the necessity to consider ESG for financial assets and introducing a new perspective to develop investment strategies and decision-making processes.
Impact of specialized fatigue and backhand smash on the ankle biomechanics of female badminton players
Authors: He Zhanyang , Liu Gongju , Zhang Bin , Ye Binyong , Zhu Houwei
Published: May 2024

During fatigued conditions, badminton players may experience adverse effects on their ankle joints during smash landings. In addition, the risk of ankle injury may vary with different landing strategies. This study aimed to investigate the influence of sport-specific fatigue factors and two backhand smash actions on ankle biomechanical indices. Thirteen female badminton players (age: 21.2 ± 1.9 years; height: 167.1 ± 4.1 cm; weight: 57.3 ± 5.1 kg; BMI: 20.54 ± 1.57 kg/m2) participated in this study. An 8-camera Vicon motion capture system and three Kistler force platforms were used to collect kinematic and kinetic data before and after fatigue for backhand rear-court jump smash (BRJS) and backhand lateral jump smash (BLJS). A 2 × 2 repeated measures analysis of variance was employed to analyze the effects of these smash landing actions and fatigue factors on ankle biomechanical parameters. Fatigue significantly affected the ankle-joint plantarflexion and inversion angles at the initial contact (IC) phase (p < 0.05), with both angles increasing substantially post-fatigue. From a kinetic perspective, fatigue considerably influenced the peak plantarflexion and peak inversion moments at the ankle joint, which resulted in a decrease the former and an increase in the latter after fatigue. The two smash landing actions demonstrated different landing strategies, and significant main effects were observed on the ankle plantarflexion angle, inversion angle, peak dorsiflexion/plantarflexion moment, peak inversion/eversion moment, and peak internal rotation moment (p < 0.05). The BLJS landing had a much greater landing inversion angle, peak inversion moment, and peak internal rotation moment compared with BRJS landing. The interaction effects of fatigue and smash actions significantly affected the muscle force of the peroneus longus (PL), with a more pronounced decrease in the force of the PL muscle post-fatigue in the BLJS action(post-hoc < 0.05). This study demonstrated that fatigue and smash actions, specifically BRJS and BLJS, significantly affect ankle biomechanical parameters. After fatigue, both actions showed a notable increase in IC plantarflexion and inversion angles and peak inversion moments, which may elevate the risk of lateral ankle sprains. Compared with BRJS, BLJS poses a higher risk of lateral ankle sprains after fatigue.
Mechanism and deterioration pattern of sandstone surrounding rock voiding at bottom of heavy-haul railway tunnel
Authors: Li Zi-qiang , Yang Shi-jian , Feng Jian-wen , Zhang Hang , Huang Wei-wei , Li Zheng
Published: May 2024

This study combines laboratory experiments and discrete element simulation methods to analyze the mechanism and deterioration patterns of sandstone surrounding rock voiding the bottom of a heavy-haul railway tunnel. It is based on previously acquired measurement data from optical fiber grating sensors installed in the Taihangshan Mountain Tunnel of the Wari Railway. By incorporating rock particle wastage rate results, a method for calculating the peak strength and elastic modulus attenuation of surrounding rock is proposed. Research indicates that the operation of heavy-haul trains leads to an instantaneous increase in the dynamic water pressure on the bottom rock ranging 144.4–390.0%, resulting in high-speed water flow eroding the rock. After 1–2 years of operation, the bottom water and soil pressures increase by 526.5% and 390.0%, respectively. Focusing on sandstone surrounding rock with high observability, laboratory experiments were conducted to monitor the degradation stages of infiltration, particle loss, and voiding of rock under the action of dynamic water flow. The impact of water flow on the “cone-shaped” bottom rock deformation was also clarified. The extent of rock deterioration and voiding was determined using miniature water and soil pressure sensors in conjunction with discrete element numerical simulations. The measured rock particle loss was used as a criterion. Finally, a fitting approach is derived to calculate the peak strength and elastic modulus attenuation of surrounding rock, gaining insight into and providing a reference for the maintenance and disposal measures for the bottom operation of heavy-haul railway tunnels.
Optical coherence tomography choroidal enhancement using generative deep learning
Authors: Bellemo Valentina , Kumar Das Ankit , Sreng Syna , Chua Jacqueline , Wong Damon , Shah Janika , Jonas Rahul , Tan Bingyao , Liu Xinyu , Xu Xinxing , Tan Gavin Siew Wei , Agrawal Rupesh , Ting Daniel Shu Wei , Yong Liu , Schmetterer Leopold
Published: May 2024

Abstract

Spectral-domain optical coherence tomography (SDOCT) is the gold standard of imaging the eye in clinics. Penetration depth with such devices is, however, limited and visualization of the choroid, which is essential for diagnosing chorioretinal disease, remains limited. Whereas swept-source OCT (SSOCT) devices allow for visualization of the choroid these instruments are expensive and availability in praxis is limited. We present an artificial intelligence (AI)-based solution to enhance the visualization of the choroid in OCT scans and allow for quantitative measurements of choroidal metrics using generative deep learning (DL). Synthetically enhanced SDOCT B-scans with improved choroidal visibility were generated, leveraging matching images to learn deep anatomical features during the training. Using a single-center tertiary eye care institution cohort comprising a total of 362 SDOCT-SSOCT paired subjects, we trained our model with 150,784 images from 410 healthy, 192 glaucoma, and 133 diabetic retinopathy eyes. An independent external test dataset of 37,376 images from 146 eyes was deployed to assess the authenticity and quality of the synthetically enhanced SDOCT images. Experts’ ability to differentiate real versus synthetic images was poor (47.5% accuracy). Measurements of choroidal thickness, area, volume, and vascularity index, from the reference SSOCT and synthetically enhanced SDOCT, showed high Pearson’s correlations of 0.97 [95% CI: 0.96–0.98], 0.97 [0.95–0.98], 0.95 [0.92–0.98], and 0.87 [0.83–0.91], with intra-class correlation values of 0.99 [0.98–0.99], 0.98 [0.98–0.99], and 0.95 [0.96–0.98], 0.93 [0.91–0.95], respectively. Thus, our DL generative model successfully generated realistic enhanced SDOCT data that is indistinguishable from SSOCT images providing improved visualization of the choroid. This technology enabled accurate measurements of choroidal metrics previously limited by the imaging depth constraints of SDOCT. The findings open new possibilities for utilizing affordable SDOCT devices in studying the choroid in both healthy and pathological conditions.
The implications of APOBEC3-mediated C-to-U RNA editing for human disease
Authors: Van Norden Melissa , Falls Zackary , Mandloi Sapan , Segal Brahm H. , Baysal Bora E. , Samudrala Ram , Elkin Peter L.
Published: May 2024

Intra-organism biodiversity is thought to arise from epigenetic modification of constituent genes and post-translational modifications of translated proteins. Here, we show that post-transcriptional modifications, like RNA editing, may also contribute. RNA editing enzymes APOBEC3A and APOBEC3G catalyze the deamination of cytosine to uracil. RNAsee (RNA site editing evaluation) is a computational tool developed to predict the cytosines edited by these enzymes. We find that 4.5% of non-synonymous DNA single nucleotide polymorphisms that result in cytosine to uracil changes in RNA are probable sites for APOBEC3A/G RNA editing; the variant proteins created by such polymorphisms may also result from transient RNA editing. These polymorphisms are associated with over 20% of Medical Subject Headings across ten categories of disease, including nutritional and metabolic, neoplastic, cardiovascular, and nervous system diseases. Because RNA editing is transient and not organism-wide, future work is necessary to confirm the extent and effects of such editing in humans.
Infection-induced cascading failures – impact and mitigation
Authors: Li Bo , Saad David
Published: May 2024

In the context of epidemic spreading, many intricate dynamical patterns can emerge due to the cooperation of different types of pathogens or the interaction between the disease spread and other failure propagation mechanism. To unravel such patterns, simulation frameworks are usually adopted, but they are computationally demanding on big networks and subject to large statistical uncertainty. Here, we study the two-layer spreading processes on unidirectionally dependent networks, where the spreading infection of diseases or malware in one layer can trigger cascading failures in another layer and lead to secondary disasters, e.g., disrupting public services, supply chains, or power distribution. We utilize a dynamic message-passing method to devise efficient algorithms for inferring the system states, which allows one to investigate systematically the nature of complex intertwined spreading processes and evaluate their impact. Based on such dynamic message-passing framework and optimal control, we further develop an effective optimization algorithm for mitigating network failures.
In‐field comparison between G.652 and G.655 optical fibres for polarisation‐based quantum key distribution
Authors: Agnesi Costantino , Giacomin Massimo , Sartorato Daniele , Artuso Silvia , Vallone Giuseppe , Villoresi Paolo
Published: May 2024

Integration of Quantum Key Distribution (QKD) in existing telecommunication infrastructure is crucial for the widespread adoption of this quantum technology that offers the distillation of unconditionally secure keys between users. The authors report a field trial between the Points of Presence placed in Treviso and in Venezia—Mestre, Italy, exploiting the QuKy commercial polarisation‐based QKD platforms developed by ThinkQuantum S.r.l. and two different standards of single‐mode optical fibres, that is, G.652 and G.655 as a quantum channel. In this field trial, several configurations were tested, including the co‐existence of classical and quantum signals over the same fibre, providing a direct comparison between the performances of the G.652 and G.655 fibre standards for QKD applications.
Exploring measurement estimation strategies through concept cartoons designed with Realistic Mathematics Education
Authors: Çilingir Altiner Emel
Published: May 2024

Concept cartoons, in relationship with Realistic Mathematics Education (RME), not only serve as a dynamic platform for problem-solving but also intricately weave mathematical concepts into the fabric of real-world scenarios, creating a harmonious fusion of theory and practical application. By using relatable characters and presenting ideas through engaging narratives, students are encouraged to tackle problems within the given context. The aim of this study was to investigate the measurement estimation strategies used by students when exposed to concept cartoons specifically designed for RME. A qualitative research methodology was followed, involving 46 fourth-grade students from a primary school. The data collection instrument utilized was “RME-Supported Concept Cartoons.” Descriptive analysis was employed to analyze the collected data. The concept cartoon activities incorporated measurement estimation strategies such as prior knowledge, unit iteration/separation, segmentation/chunking, and comparison, which students could potentially prefer. However, it was observed that students predominantly utilized division into unit iteration/separation and segmentation/chunking strategies over other estimation strategies. Furthermore, the frequency of strategy use did not exhibit significant variations based on gender. When examining the strategies developed by the students, it is noteworthy that the presence of “another solution-oriented option” and “irrelevant answers” was prominent.
Utilizing rare earth titanates to improve performance of solid-state electrochromic device
Authors: Nain Ritu , Bansal Love , Sagdeo P R , Kumar Rajesh
Published: May 2024

Exploring new materials and synthesis recipes are required to enhance the electrochromic performance especially, when used in solid-state devices. Here, polycrystalline gadolinium titanate (Gd2TiO5 or GTO), synthesized using a simple solid-state reaction method, has been used for this purpose by combining it with polythiophene (P3HT). The electrochemical investigation of the Gd2TiO5 doped P3HT electrode has been carried out using cyclic voltammetry (CV) and electrochemical impedance spectroscopy (EIS), which reveals the dominance of diffusion-controlled mechanism over charge storage on the electrode surface as compared to the P3HT electrode. The Gd2TiO5 doped P3HT solid-state electrochromic device shows color modulation at 515 nm and 670 nm wavelengths with a color contrast of as high as 79% and 42%, respectively, under an external bias of as low as ±1.4 V. The prepared device switches between maroon to a transparent state in less than a second under the external bias (±1.4 V) with a high coloration efficiency of 346 cm2/C. The device shows improved cycle life over 100 switching cycles at both the wavelengths, which makes it more suitable for real-life applications.
Culture, Cooperation, and Communication: The Co-evolution of Hominin Cognition, Sociality, and Musicality
Authors: Killin Anton
Published: May 2024

Music is a deeply entrenched human phenomenon. In this article, I argue that its evolutionary origins are intrinsically intertwined with the incremental anatomical, cognitive, social, and technological evolution of the hominin lineage. I propose an account of the evolution of Plio-Pleistocene hominins, focusing on traits that would be later implicated in music making. Such traits can be conceived as comprising the musicality mosaic or the multifaceted foundations of musicality. I then articulate and defend an account of protomusical behaviour, drawing theoretical licence from the social brain framework of Robin Dunbar and colleagues, as well as the evolutionary framework for human culture and cooperation developed by Kim Sterelny. The role of gene-culture co-evolution and niche construction is brought to the fore in articulating the evolutionary account. Finally, I defend the view that music subsequently developed via processes of social learning and cumulative culture.
Comparison of colorimetric methods for the analysis of total polyphenols in green tea extracts
Authors: Matsushita Kokoro , Honda Chihiro , Nakamura Yoriyuki , Kumazawa Shigenori
Published: May 2024

Two colorimetric methods are used to determine the total polyphenol contents of tea, namely, “the Folin-Ciocalteu method,” defined by the International Organization for Standardization, and the “iron tartrate method,” specified in the Standard Tables of Food Composition in Japan. In this study, we compared the Folin-Ciocalteu and iron tartrate methods using green tea extracts. When comparing the 2 methods, the sum of the 4 major catechins measured using high-performance liquid chromatography (HPLC) was regarded as the standard value. The total polyphenol contents obtained using the Folin-Ciocalteu method were closer to the HPLC value than those obtained using the iron tartrate method. However, the iron tartrate method is adequate if the current official method is improved, that is, our results suggest that the coefficients appropriate for common green tea varieties, as well as the degree and duration of cover cultivation, in the official iron tartrate method must be considered.
methscore: a comprehensive R function for DNA methylation-based health predictors
Authors: Xu Zongli , Niu Liang , Kresovich Jacob K , Taylor Jack A
Published: May 2024

Motivation

DNA methylation-based predictors of various biological metrics have been widely published and are becoming valuable tools in epidemiologic studies of epigenetics and personalized medicine. However, generating these predictors from original source software and web servers is complex and time consuming. Furthermore, different predictors were often derived based on data from different types of arrays, where array differences and batch effects can make predictors difficult to compare across studies.

Results

We integrate these published methods into a single R function to produce 158 previously published predictors for chronological age, biological age, exposures, lifestyle traits and serum protein levels using both classical and principal component-based methods. To mitigate batch and array differences, we also provide a modified RCP method (ref-RCP) that normalize input DNA methylation data to reference data prior to estimation. Evaluations in real datasets show that this approach improves estimate precision and comparability across studies.

Availability and implementation

The function was included in software package ENmix, and is freely available from Bioconductor website (https://www.bioconductor.org/packages/release/bioc/html/ENmix.html).
The brain’s arbitration system and obsessive-compulsive disorder
Authors: Robbins Trevor W
Published: May 2024

This scientific commentary relates to ‘Neurocomputational model of compulsivity: deviating from an uncertain goal-directed system’ by Kim et al. (https://doi.org/10.1093/brain/awae102).
Psilocybin reduces alcohol self-administration via selective left nucleus accumbens activation in rats
Authors: Jeanblanc Jérôme , Bordy Romain , Fouquet Grégory , Jeanblanc Virginie , Naassila Mickaël
Published: May 2024

The use of psilocybin to treat alcohol use disorder is very promising, but its mechanisms of action remain poorly understood. We combined behavioural, pharmacological and gene expression analyses to decipher the mechanisms of action of psilocybin, for the first time, when injected into the brain.

Male Long Evans rats underwent chronic operant ethanol self-administration before testing the effect of intraperitoneal psilocybin or directly within the nucleus accumbens core or the ventral tegmental area. Transcripts from the dopaminergic system were quantified in the nucleus accumbens and prefrontal cortex.

Psilocybin significantly reduced (by 50%) ethanol self-administration when injected 4 h before the session either intraperitoneally (1 mg/kg) or directly within the left nucleus accumbens (0.15 μg) but not the right nucleus accumbens or the left ventral tegmental area. The effect of intraperitoneal injection of psilocybin was prevented by intra-left nucleus accumbens injection of 0.3 μg of the 5-HT2A receptor antagonist ketanserin. In rats that self-administered ethanol but not in those self-administering saccharin, dopamine D2 receptor (D2R) mRNA was increased in both the nucleus accumbens and the prefrontal cortex by psilocybin, while dopamine D1 receptor mRNA was increased only in the prefrontal cortex.

As in humans, psilocybin reduced ethanol self-administration in rats through the 5-HT2A receptor within the left nucleus accumbens, possibly through increased D2R expression. Our results open unexpected perspectives regarding the hemispheric lateralization of psychedelic effects.
Use of waste plastic oil as a fuel in reactivity-controlled compression ignition engines: a bibliometric investigation from 2017–23
Authors: Kanchan Sumit , Singh Sandhu Sarbjot
Published: May 2024

Waste plastic oil, generated through the pyrolysis of plastic without oxygen, known as plastic-to-fuel conversion, stands as a promising alternative fuel. This research employs bibliometric analysis, a quantitative method, to comprehensively assess publications in the domain of waste plastic oil integration within reactivity-controlled compression ignition engines. Utilizing Scopus as the primary repository post-2017, the study categorizes information into pivotal aspects, including influential journals, countries, authors, affiliations, document types, thematic areas, sponsors and keywords. The analysis reveals significant contributions from diverse nations, prominently India, China, Turkey and Malaysia. Noteworthy is the prevalence of Energy, Engineering and Chemical Engineering as thematic focal points, with the journal Fuel leading the count followed by the journal Energy emerging as a prominent conduit. Institutional contributions are prolific, led by Gandhi Institute of Technology and Management University and Vellore Institute of Technology. Renowned authors ‘Gugulothu S.K’ and ‘He Z’ play a pivotal role in shaping the discourse. The National Natural Science Foundation of China stands out as a primary patron. This bibliometric analysis provides a structured understanding of waste plastic oil integration in reactivity-controlled compression ignition engines, laying the groundwork for future research avenues. The study identifies potential research platforms beyond Scopus, including Web of Science, CrossRef, Science Direct and Google Scholar, as valuable repositories for further exploration. Moreover, after careful observation of the research articles published by the top 10 authors as found in the study, it was found that the authors share a few common characteristics that helped them in advancing the understanding and application of waste plastic oil in reactivity-controlled compression ignition engines. These are also summarized in the present study with supporting data.
Autoimmune, cardiovascular/metabolic and psychiatric comorbidities associated with rosacea: a cross-sectional study in the All of Us database
Authors: Joshi Tejas P , Rivera Ana , Gedeon Francesca , Khalfe Nasim
Published: May 2024

Rosacea is a chronic, common inflammatory skin disorder. However, studies investigating the comorbidities associated with rosacea in a diverse cohort of American patients are lacking. Here, we use the National Institutes of Health All of Us research programme to explore the association of rosacea with autoimmune, cardiovascular and psychiatric comorbidities.
Elevated type-17 cytokines are present in axial spondyloarthritis stool
Authors: Brough India , Thompson Kelsey , Latore Ciara , Penkava Frank , Regan Chelsea , Pearson Claire , Shi Hui , Ridley Anna , Simone Davide , Lam Lilian , Bullers Samuel , Moussa Caroline , Feeney Rachel ,   Inflammatory Arthritis Microbiome Consortium (IAMC) Investigators Group, Al-Mossawi Mohammed H , Powrie Fiona , Young Stephen , Huttenhower Curtis , Bowness Paul
Published: May 2024

Axial spondyloarthritis (axSpA) is characterized by type-17 immune-driven joint inflammation, and intestinal inflammation is present in around 70% of patients. In this study, we asked whether axSpA stool contained Th17-associated cytokines and whether this related to systemic Th17 activation. We measured stool cytokine and calprotectin levels by ELISA and found that patients with axSpA have increased stool IL-17A, IL-23, GM-CSF, and calprotectin. We further identified increased levels of circulating IL-17A+ and IL-17F+ T-helper cell lymphocytes in patients with axSpA compared to healthy donors. We finally assessed stool metabolites by unbiased nuclear magnetic resonance spectroscopy and found that multiple stool amino acids were negatively correlated with stool IL-23 concentrations. These data provide evidence of type-17 immunity in the intestinal lumen, and suggest its association with microbial metabolism in the intestine.
Inhibition profile of three biological nitrification inhibitors and their response to soil pH modification in two contrasting soils
Authors: Rojas-Pinzon Paula A , Prommer Judith , Sedlacek Christopher J , Sandén Taru , Spiegel Heide , Pjevac Petra , Fuchslueger Lucia , Giguere Andrew T
Published: May 2024

Up to 70% of the nitrogen (N) fertilizer applied to agricultural soils is lost through microbially mediated processes, such as nitrification. This can be counteracted by synthetic and biological compounds that inhibit nitrification. However, for many biological nitrification inhibitors (BNIs), the interaction with soil properties, nitrifier specificity, and effective concentrations are unclear. Here, we investigated three synthetic nitrification inhibitors (SNIs) (DCD, DMPP, and nitrapyrin) and three BNIs [methyl 3(4-hydroxyphenyl) propionate (MHPP), methyl 3(4-hydroxyphenyl) acrylate (MHPA), and limonene] in two agricultural soils differing in pH and nitrifier communities. The efficacies of SNIs and BNIs were resilient to short-term pH changes in the neutral pH soil, whereas the efficacy of some BNIs increased by neutralizing the alkaline soil. Among the BNIs, MHPA showed the highest inhibition and was, together with MHPP, identified as a putative AOB/comammox-selective inhibitor. Additionally, MHPA and limonene effectively inhibited nitrification at concentrations comparable to those used for DCD. Moreover, we identified the effective concentrations at which 50% and 80% of inhibition is observed (EC50 and EC80) for the BNIs, and similar EC80 values were observed in both soils. Overall, our results show that these BNIs could potentially serve as effective alternatives to SNIs currently used.
Light over mechanics: microbial community structure and activity in simulated migrating bedforms are controlled by oscillating light rather than by mechanical forces
Authors: Oprei Anna , Schreckinger José , Franzmann Insa , Lee Hayoung , Mutz Michael , Risse-Buhl Ute
Published: May 2024

Sandy sediments of lowland streams are transported as migrating ripples. Benthic microorganisms colonizing sandy grains are exposed to frequent moving–resting cycles and are believed to be shaped by two dominant environmental factors: mechanical stress during the moving phase causing biofilm abrasion, and alternating light–dark cycles during the resting phase. Our study consisted of two laboratory experiments and aimed to decipher which environmental factor causes the previously observed hampered sediment-associated microbial activity and altered community structure during ripple migration. The first experiment tested the effect of three different migration velocities under comparable light conditions. The second experiment compared migrating and stationary sediments under either constant light exposure or light oscillation. We hypothesized that microbial activity and community structure would be more strongly affected by (1) higher compared to lower migration velocities, and by (2) light oscillation compared to mechanical stress. Combining the results from both experiments, we observed lower microbial activity and an altered community structure in sediments exposed to light oscillation, whereas migration velocity had less impact on community activity and structure. Our findings indicate that light oscillation is the predominating environmental factor acting during ripple migration, resulting in an increased vulnerability of light-dependent photoautotrophs and a possible shift toward heterotrophy.
Measuring Tree Diameter Using LiDAR Equipped iPad: An Evaluation of ForestScanner and Arboreal Forest Applications
Authors: Howie Noah A , De Stefano Andrea
Published: May 2024

Forest owners need simple and efficient tools to capture and understand forest metrics. Additionally, they could benefit from emerging technologies in forest analysis. Light detection and ranging (LiDAR) sensors allow for precise measurements of different variables and can be used more easily in forestry settings thanks to their introduction into smartphones and tablets. ForestScanner and Arboreal Forest are two applications (apps) that allow for the measurement of tree diameter at breast height (DBH) on LiDAR-equipped devices. Our study sought to analyze and compare (1) the timing of traditional and LiDAR-based forest inventory methods and (2) the accuracy of traditional and LiDAR-based forest measurements. We established a series of plots to record and compare tree DBH and measurement time between a traditional diameter tape, ForestScanner, and Arboreal Forest. We found that DBH measurements from the apps were in good agreement with diameter tape measurements; however, both apps tended to underestimate DBH. Additionally, measurement time for both apps was found to be significantly shorter than traditional tape measurements. Further improvements in LiDAR apps can present a simple and efficient way for future forest analysis by seasoned foresters and private landowners.

Study Implications: LiDAR smartphone applications represent a cost-effective and time-efficient method for wide-spread forest management, especially among landowners who have little access to forestry-specific equipment. As these technologies continue to advance, the incorporation of functions for plot establishment, height measurements, biomass estimations, and ecosystem dynamics could become valuable assets in the forest industry. We encourage individuals to further test LiDAR measurement applications themselves, as further training on these applications will help developers to improve application accuracy.
Regulation of Green Fluorescent Proteins by Sea Anemones (Anthopleura spp.) in Response to Light
Authors: Staats Ethan G , Clarke Donald Nathaniel , Pearse Vicki Buchsbaum , Govenar Kelly , De Meulenaere Evelien , Deheyn Dimitri D
Published: May 2024

SYNOPSIS

Green fluorescent proteins (GFPs) are a family of proteins with a disjunct systematic distribution; their biological functions remain speculative for the most part. Here, we report studies of three closely related species of green sea anemones (Anthopleura) that express GFPs throughout their ectoderm. Individuals of these species maintain facultative symbiosis with zooxanthellae in their endoderm and inhabit the rocky intertidal or shallow subtidal. Thus, they depend on exposure to light to maintain photosynthesis of their symbionts and simultaneously need to manage stresses associated with this exposure. We present experimental evidence that these sea anemones regulate the amount of GFP in their bodies in response to the surrounding light environment: they increase or reduce GFP when exposed to brighter or dimmer light, respectively, yet they maintain some GFP while in darkness for surprisingly long periods.
Universal Neyman–Pearson classification with a partially known hypothesis
Authors: Boroumand Parham , Fàbregas Albert Guillén i
Published: May 2024

We propose a universal classifier for binary Neyman–Pearson classification where the null distribution is known, while only a training sequence is available for the alternative distribution. The proposed classifier interpolates between Hoeffding’s classifier and the likelihood ratio test and attains the same error probability prefactor as the likelihood ratio test, i.e. the same prefactor as if both distributions were known. In addition, such as Hoeffding’s universal hypothesis test, the proposed classifier is shown to attain the optimal error exponent tradeoff attained by the likelihood ratio test whenever the ratio of training to observation samples exceeds a certain value. We propose a lower bound and an upper bound to the optimal training to observation ratio. In addition, we propose a sequential classifier that attains the optimal error exponent tradeoff.
Cultivable epiphytic bacteria of the Chlorophyta Ulva sp.: diversity, antibacterial, and biofilm-modulating activities
Authors: Paulino Sauvann , Petek Sylvain , Le Strat Yoran , Bourgougnon Nathalie , Le Blay Gwenaelle
Published: May 2024

Aims

Macroalgae harbor a rich epiphytic microbiota that plays a crucial role in algal morphogenesis and defense mechanisms. This study aims to isolate epiphytic cultivable microbiota from Ulva sp. surfaces. Various culture media were employed to evaluate a wide range of cultivable microbiota. Our objective was to assess the antibacterial and biofilm-modulating activities of supernatants from isolated bacteria.

Methods and results

Sixty-nine bacterial isolates from Ulva sp. were identified based on 16S rRNA gene sequencing. Their antibacterial activity and biofilm modulation potential were screened against three target marine bacteria: 45%, mostly affiliated with Gammaproteobacteria and mainly grown on diluted R2A medium (R2Ad), showed strong antibacterial activity, while 18% had a significant impact on biofilm modulation. Molecular network analysis was carried out on four bioactive bacterial supernatants, revealing new molecules potentially responsible for their activities.

Conclusion

R2Ad offered the greatest diversity and proportion of active isolates. The molecular network approach holds promise for both identifying bacterial isolates based on their molecular production and characterizing antibacterial and biofilm-modulating activities.
The export of Old Masters from Poldi Pezzoli’s Milan to international museums
Authors: Piccolo Olga
Published: May 2024

The mid-and later nineteenth century saw the creation and enrichment of some major international museum collections alongside the development of connoisseurship. In this process, Milan was an important hub for the supply of major works of art. This essay offers new insights into Milan’s art market of the period through the methodical examination of export documents; analysis of the unpublished manuscripts of two great exponents of international connoisseurship of this period, Giovanni Battista Cavalcaselle and Joseph Archer Crowe; and new sources from the archives of the National Gallery in London. A number of case-studies are presented in chronological order, focusing on examples of works of art imported from Milan by the National Gallery, the Musée du Louvre in Paris, the Royal Museums in Berlin and the Imperial Hermitage Museum in St Petersburg. The conclusions that emerge from this study pave the way for a comparative investigation of other Italian cities in the same period.
Consumers of insect-based foods: a cross-cultural study between Belgium and Gabon
Authors: Detilleux Loïc , Bayendi Loudit Sandrine , Le Gall Philippe , Francis Frédéric , Caparros Megido Rudy , Dogot Thomas
Published: May 2024

Human consumption of insects has previously been examined in cross-cultural studies. However, such studies rarely include African countries and willingness-to-pay for insect-based food has never been assessed in cross-cultural studies. The current study presents a cross-cultural study conducted with 409 urban dwellers from Belgium (191 males; 218 females) and 412 urban dwellers from Gabon (219 males; 193 females). Each respondent was surveyed with a questionnaire following the Knowledge, Attitude, and Practices model and included questions relative to willingness-to-pay for 2 insect-based foods (insect baguette and insect burger). More than 90% of respondents from both countries were familiar with edible insects. However, acceptance of entomophagy was lower in respondents from Gabon than in respondents from Belgium. Intercultural differences were also recorded between Gabonese ethnic groups. Most respondents who accepted entomophagy were willing to eat the insect baguette and/or the insect burger. These findings confirm that entomophagy could further develop in Belgium and Gabon. Willingness-to-pay varied between countries and between insect-based foods. In Belgium, the average prices of comparable conventional foods (i.e., same foods but without insects) were lower than the average willingness-to-pay for insect-based foods. In Gabon, respondents were not willing to pay extra for insect-based foods. Setting the right price for insect-based foods is a necessary step to promote more frequent insect consumption.
Interaction of sound-audition traits between eared insects and arthropodophagous bats: using a DNA approach to assess diet
Authors: Segura-Trujillo Cintya A , Iñiguez-Dávalos Luis Ignacio , Álvarez-Castañeda Sergio Ticul , Castañeda-Rico Susette , Maldonado Jesús E
Published: May 2024

Arthropod–bat interactions are often considered as a base model for studying factors underlying predator–prey coevolutionary processes. Bats developed ultrasonic echolocation to hunt, and in response some arthropods developed defense mechanisms such as ultrasonic hearing, allowing them to elude bat predators. The present study analyzes the feeding patterns of bats, focusing on sonic-auditory sensory mechanisms in predator–prey interactions. Next-generation DNA sequence data from fecal samples were used to analyze the diet of 17 bat species from Mexico. Arthropod prey taxa were classified according to their auditory traits, and echolocation data were recompiled from literature review. We: (i) classified arthropod families according to their hearing ability; (ii) estimated arthropod taxon richness and proportion in the diet of each bat species; and (iii) used multidimensional scaling, principal component analysis, and regression to analyze prey consumption patterns in relation to their auditory traits and in relation to echolocation characteristics of bats. Finally, we analyzed the relationship between foraging time and auditory characteristics of prey. Families with hearing organs correspond to the orders Lepidoptera and Orthoptera. We registered 20 families of Lepidoptera and 5 of Orthoptera—7 and 3 with hearing organs, respectively. Of these orders, families lacking ears were recorded in the diet of a few bat species. Our results support the allotonic frequency hypothesis predicting a difference in emission frequency intervals between predator and prey. However, we found that the consumption of earless moths is less frequent and is related to diurnal and twilight activity—hence, their consumption is limited to bat species foraging early. Results indicate bats feed on arthropod prey successfully despite the ultrasonic hearing ability of the prey. These results may be due to counteradaptations that allow maintenance of an asymmetric “arms race” between bats and eared insects that favors the predator.