bluuebunny/crossref_metadata_2025 huggingface dataset:
Intelligent recognition of coal and gas outburst precursor and potential hazards using YOLOv8 neural network
Authors: Liu Xiaofei , Du Zinan , Wang Enyuan , Jiang Ao , Tian He , Wang Kaiyuan , Xiong Yinghao , Wang Heng
Published: July 2024

Fluctuations in gas emission or concentration at working face represent primary indicators of impending coal and gas outbursts, making them essential for monitoring processes. However, the direct use of original signals for predictive purposes may cause false warnings due to the inability to recognize valuable potential information. This can result in decreased prediction accuracy. Additionally, gas emission or concentration is affected by potential hazards such as sensor calibration, borehole spraying, and air duct damage, leading to complexity of their behavior and recognition process. This paper proposes an intelligent recognition method leveraging YOLOv8 neural network to discern coal and gas outburst precursors and potential hazards. By employing continuous wavelet transform (CWT) on the gas concentration signal processed by critical slowing down (CSD) method, a two-dimensional time–frequency representation is generated. This representation is then fed into YOLOv8 model to recognize the outburst precursor characteristics and potential hazards. The research results show that YOLOv8-based intelligent recognition adeptly identifies the relevant precursor characteristics and potential hazards, enhancing both coal mine safety protocols and the accuracy of early outburst warning mechanisms.
In the Mood for Food: Monotony, Boredom and Snacking During Work
Authors: Vasiļjeva Dārta , Nübold Annika , Nederkoorn Chantal , Hülsheger Ute R.
Published: July 2024

Although unhealthy snacking may have detrimental consequences for employee health and organizational outcomes, the role of working conditions on snacking still remains poorly understood. Drawing from optimal arousal theory, we propose and test a conceptual model that explains how under-stimulating conditions of job monotony increase unhealthy snacking behaviors during work due to experienced boredom. Given that individual differences play an important role for eating behaviors, we further propose that trait mindfulness may moderate the relationship between daily work-related boredom and unhealthy snacking, as it can decrease impulsive reactions to boredom. Results from diary data across two workweeks (N = 105) confirmed the positive effect of daily job monotony on unhealthy snacking through work-related boredom. Supplementary analyses revealed that these results persisted above and beyond over-stimulating work stressors (daily workload) and alternative mediators (daily negative affect). Surprisingly, the protective nature of trait mindfulness was not confirmed by our results. The implications of our findings are discussed for theory and practice.
Numerical and experimental investigation of solute transports through different types of dialyzer membrane
Authors: Klahan Tarinthon , Pattamaprom Cattaleeya , Eiamsitrakoon Thanee , Pakdee Watit
Published: July 2024

The flow and mass transport through different membrane types from different hemodialyzers are investigated in a co-current direction to emphasize the effect of solute diffusion through the dialyzer membranes. The numerical model consists of the blood flowing in a hollow fiber surrounded by a dialysate flow, where the mass transport and fluid flow were simultaneously calculated. The high flux dialyzers considered in the present study are FINEFLUX FIX-210S eco, ELISIO-210HR, and PEPA FDY-21B, which differ mainly in characteristics of the membrane structure and surface. Urea and maltodextrin solutions are used as model solutes to consider the effect of molecular size difference. The numerically predicted outlet concentrations closely align with experimental values, where the variation between predicted and measured values remain below 10% across all dialyzer types for urea solutions, and specifically below 8% for maltodextrin solution. Among the various dialyzers tested, FINEFLUX membrane could provide the highest maltodextrin clearance (83.09 ml/min) and overall mass transfer area coefficient (KoA) (119.56 ml/min) potentially due to its fast-diffusion characteristic. In this co-current flow study, the results suggest that urea transport is primarily influenced by flow control with minimal impact from boundary layers, while maltodextrin transport is predominantly governed by diffusion control.
Interactions of antidepressants with concomitant medications—safety of complex therapies in multimorbidities
Authors: Dołoto Anna , Bąk Ewelina , Batóg Gabriela , Piątkowska-Chmiel Iwona , Herbet Mariola
Published: July 2024

Depression is the fourth most serious disease in the world. Left untreated, it is a cause of suicide attempts, emergence or exacerbation worsening of serious diseases, bodily and mental disorders, as well as increased risk of cardiovascular diseases, stroke, diabetes, and obesity, as well as endocrine and neurological diseases. Frequent coexistence of depression and other diseases requires the simultaneous use of several drugs from different therapeutic groups, which very often interact and intensify comorbidities, sometimes unrelated mechanisms. Sufficient awareness of potential drug interactions is critical in clinical practice, as it allows both to avoid disruption of proper pharmacotherapy and achieve substantive results. Therefore, this review aims to analyze the interactions of antidepressants with other concomitant medications. Against the backdrop of experimental research and a thorough analysis of the up-to-date literature, the authors discuss in detail the mechanisms and effects of action of individual drug interactions and adaptogens, including the latest antidepressants.
Engineering and microstructural properties of environmentally friendly alkali-activated composites containing clinker aggregate: heat-curing regime and elevated-temperature effect
Authors: Bayrak Barış , İpek Süleyman , Alcan Haluk Görkem , Kaplan Gökhan , Aydın Abdulkadir Cüneyt , Güneyisi Erhan
Published: July 2024

The common wisdom in the literature about clinker aggregate (CA) is that it improves the performance properties of mortar or concrete to some extent. The current study, in this context, investigated the physical characteristics and mechanical performances of alkali-activated composites (AACs) made entirely with CA. The CA was used in three particle sizes of 0–2 mm (named No.10), 2–4 mm (named No.5), and 4–8 mm (named medium). To examine the impact of the fine CA-size fraction on the characteristics of AAC, No.10 CA was partially replaced by No.5 CA up to 50%, while the content of the medium CA was kept constant in all AAC mixtures. Moreover, to evaluate the influence of the 8-h curing temperature on the performance of the AACs, different temperature-based curing strategies (ambient, 45, and 75 °C) were applied to the AACs. In the production of AACs, granulated blast furnace slag was employed as an aluminosilicate-rich raw material, and a sodium silicate and sodium hydroxide combination was used as an alkaline activator. Physical properties (flowability, water absorption, capillary water absorption, and dry unit weight), and 8-h strength performances (flexural and compressive) were determined. Furthermore, to monitor the influence of high temperatures on the characteristics of the AAC, the mixtures were exposed to elevated temperatures (200, 500, and 800 °C). In SEM image analysis, it was determined that spherical CSH gels were formed in the heat-cured AACs. It has been observed that the geopolymerization products decompose in AACs exposed to 800 °C. To evaluate statistically the experimental results, a multi-factor analysis of variance (ANOVA) was also applied. The results revealed that increasing the coarser fine aggregate fraction led to higher water absorption and apparent porosity capacities and lower unit weight. Besides, strength performance was improved by applying a heat-curing strategy to the AAC, whereas a decrease was observed by increasing the No.5 CA fraction. There was a remarkable reduction in compressive strength and considerable loss of mass when the AAC mixes were exposed to high temperatures.
Pseudodifferential Operators on Noncommutative Tori: A Survey
Authors: Jiménez Carolina Neira
Published: July 2024

This article presents a survey of recent developments on pseudodifferential operators on noncommutative tori. We describe currently available constructions of those operators: by means of a $$C^{*}$$

C

∗

-dynamical system, by using an analogue of the Fourier series representation of a function in the (commutative) torus $$C^\infty ({\mathbb {T}}^n)$$

C
∞

(

T

n

)

, as Rieffel deformations of the standard pseudodifferential operators on $$C^\infty ({\mathbb {T}}^n)$$

C
∞

(

T

n

)

, and in association to certain spectral triples.
Analysis of organic and mineral nitrogen, total organic carbon and humic fractions in Ferralsols: an approach using Vis-NIR-SWIR, MIR and X-ray fluorescence spectroscopy
Authors: de Lima Bruna Coelho , dos Santos Carlos H. , Tiritan Carlos S. , Demattê José A. M. , Gomez Andres M. R. , Albarracín Heidy S. R. , A. Bartsch Bruno
Published: July 2024

This work aimed to develop suitable predictive models for ammonium, nitrate, total nitrogen, total organic carbon and soil humic fractions, for Ferralsols, using Vis-NIR-SWIR, MIR and X-ray fluorescence spectroscopic techniques in conjunction with machine learning algorithms, Cubist, PLSR, Random Forest and Support Vector Machine. Chemical analyzes were carried out to determine nitrate, total nitrogen, total organic carbon and chemical fractionation of soil organic matter, as well as spectral analyzes using Vis-NIR-SWIR spectroscopy, MIR and X-ray fluorescence. The spectroscopy results were processed using RStudio v. 4.1.3, applying Cusbist, PLSR, Random Forest and Support Vector Machine machine learning algorithms to create predictive models and describe spectral curves and Pearson correlation. Of the prediction models developed for nitrogen, total organic carbon and humic fractions, the PLSR and Support Vector Machine algorithms presented the best predictive performances. The descriptive analysis of the spectra identified the main absorption bands and the location of the bands sensitive to the attributes of interest. The correlation analysis proposed that the use of Vis-NIR-SWIR, MIR and XRF spectroscopic techniques were effective in predicting the contents of nitrogen, total organic carbon and humic fractions in soil with a medium sandy texture. However, it is important to highlight that each technique has its characteristic mechanism of action, Vis-NIR-SWIR and MIR detect the element based on overtones and fundamental tones, while XRF is based on the atomic number of the elements or elemental association.
The agricultural decision process in a small tank cascade system in Sri Lanka: diagnosing options for adaptive governance
Authors: Kekulandala Bhathiya , Jacobs Brent , Cunningham Rebecca
Published: July 2024

Small Tank Cascade Systems (STCS) are interconnected small reservoirs constructed in shallow valleys in the dry zone of Sri Lanka. STCS have assumed heightened significance for their potential contribution to climate adaptation of agricultural systems. Local communities managed STCS to store water by capturing seasonal rain and cultivating crops that suited local conditions over millennia. The British colonial centralisation of STCS governance led to the degradation and deterioration of STCS. Contemporary water governance literature identifies STCSs as complex multifunctional systems. Adaptive co-management (ACM) approaches can reconcile complex resource governance issues by combining co-management with co-governance. We studied Palugaswewa STCS in North Central Sri Lanka to explore farmer and government officials' views, perceptions, knowledge, and experiences about agricultural decision-making including current governance, issues, and proposed improvements seeking evidence for ACM in practice. We interviewed eleven farmers and four extension officials selected from the analysis preceding this research. Our results show that an informal decision process (pre-cultivation meeting) precedes and informs the formal decision process (cultivation meeting), farmers use their collective knowledge and experience to anticipate seasonal weather and plan cultivation, and government officials facilitate a community-led decision process with institutional limitations. We concluded that the informal process compensates for the lack of timely meteorological information, allows space for sharing and co-development of knowledge and facilitates ACM. Future governance interventions in STCS need to recognise informal processes that drive decision-making, provide timely user-centred meteorological information, and rethink legal frameworks at local and national levels to provide flexibility for local farmers.
Leveraging geo-computational innovations for sustainable disaster management to enhance flood resilience
Authors: Jain Harshita
Published: July 2024

The increasing frequency of flood disasters around the globe highlights the need for creative approaches to improve disaster preparedness. This thorough analysis and assessment explore the topic of enhancing flood disaster resilience by utilising cutting-edge geo-computational techniques. By combining a variety of techniques, such as remote sensing, geographic information systems (GIS), LiDAR, unmanned aerial vehicles (UAVs), and cutting-edge technologies like machine learning and geospatial big data analytics, the study provides a complex framework for flood monitoring, risk assessment, and mitigation. By using remote sensing technology, flood occurrences can be tracked in real time and inundations may be precisely mapped, which makes proactive response plans possible. GIS facilitates effective evacuation planning by streamlining spatial analysis and decision-making procedures and providing critical insights into risky locations. High-resolution elevation data is provided by LiDAR technology, which is essential for precise flood modelling and simulation. Unmanned Aerial Vehicles (UAVs) may be quickly deployed to assist with situational awareness and damage assessment during a disaster. Furthermore, predictive skills are enhanced by the combination of machine learning and geographic big data analytics, opening the door to the creation of adaptive reaction plans and early warning systems. This investigation highlights how geo-computational tools may significantly improve community resilience and lessen the negative effects of flood disasters. After a thorough review of the literature and case studies, this study clarifies how these approaches might improve disaster response and preparation to a great extent.
The analysis of potentially toxic heavy metal contamination in the Lake Bogoria geothermal springs
Authors: Sunguti Anzelim E. , Kibet Joshua K. , Kinyanjui Thomas K. , Oyugi Albert M. , Muhizi Theoneste
Published: July 2024

Lake Bogoria geothermal system is a natural geological site in Kenya that boasts a habitat for Flamingos which attract tourists, and its water find applications in agriculture and recreation. Accordingly, its geological processes, closed water systems and anthropogenic activities may lead to accumulation of potential toxic metal contamination. The present study focused on the analysis of potentially toxic metals — manganese (Mn), cadmium (Cd), lead (Pb), copper (Cu) and nickel (Ni) using atomic absorption spectrometry (AAS) in geothermal spring water samples after acid digestion method, and evaluated their health risks through dermal and ingestion exposures. Principal component analysis (PCA), enrichment factors (EF) and Pearson correlation coefficient (PCC) were performed to determine the sources and correlation between the metals investigated. Manganese, Cu and Ni recorded mean concentrations (ppm) of 0.19 ± 0.08, 0.02 ± 0.02 and 0.03 ± 0.02, respectively, which were below the permissible World Health Organisation (WHO) limits, whereas Pb (0.06 ± 0.04) and Cd (0.05 ± 0.02) levels were above the threshold standards. PCA revealed that these metals may have originated from geological regimes and surface run-offs. Copper and Cd metals were highly enriched indicating an anthropogenic origin. The Hazard quotients (HQ) of Pb and Cd were $$>1,$$

>
1
,

hence they are potential precursors for non-carcinogenic and carcinogenic risks in both children and adults. The findings of this study showed possible Pb and Cd metal contamination from geothermal waters. Therefore, there is need for remediation, continuous monitoring and assessment of geothermal waters before utilization for recreation, crop production and geothermal energy exploitation to ensure environmental conservation and human safety.
Role of chest ultrasound in the diagnosis of pulmonary embolism: a cohort study
Authors: Mohsen Mostafa , Hadidy Amr El , Taema khaled , Belal Soliman
Published: July 2024

Background

Pulmonary embolism (PE) is a common and usually fatal condition that is commonly misdiagnosed and consequently ignored. Lung ultrasonography is quickly becoming a valuable tool in the ER and ICU for assisting in emergency decisions.

Methods

One hundred fourteen patients with moderate/high probability of PE in the Critical Care Department meeting the inclusion/exclusion criteria were enrolled in the study. A detailed medical history and a full physical examination involving vital signs, transthoracic ultrasound, CT pulmonary angiography (CTPA), and echocardiography were done for the eligible participants. The goal of this study was to evaluate the diagnostic role of transthoracic ultrasound (TUS) in PE and to compare its specificity and sensitivity with CT pulmonary angiography. Multivariate logistic regression analysis was performed.

Results

Within the 75 patients with confirmed PE based on CTPA, 30 had LUS findings of confirmed PE (40%), and 45 had LUS findings not consistent with confirmed PE (60%). Within the 39 patients with no PE based on CTPA, all patients had LUS findings of non-confirmed PE (100%), and no patients had LUS findings of confirmed PE (0%). The diagnosis of pulmonary embolism based on confirmed LUS signs had sensitivity and specificity of 40% and 100% respectively with 100% positive predictive value and 46.4% negative predictive value.

Conclusion

Positive TUS findings with moderate/high suspicion for PE may prove a valuable tool in the diagnosis of PE at the bedside, especially in the emergency setting, but a negative TUS study cannot rule out PE with certainty.
The Effects of Posture on Mind Wandering
Authors: Qian Binbin , Liu Yuxuan , Yang Xinrui , Zhang Zhijun
Published: July 2024

Abstract: Using two executive tasks, we explored how body posture influences mind wandering, a universal internally self-generated activity. Specifically, participants were instructed to perform the Sustained Attention Response Task (SART) and the Flanker task under three postural conditions: lying supine, sitting, and standing upright. These tasks reflect the proactive and reactive modes of executive control, respectively. To measure the frequency of mind wandering, we employed the probe-caught technique, presenting prompts at irregular intervals. The results indicate that, compared to standing and sitting positions, lying supine significantly increased mind wandering, while posture had no effect on either measure of executive control. We suggest that changes in posture alter cognitive activity related to self-generated thoughts and external tasks, whereas the relationship between mind wandering and executive control requires further research.
Psychometric Evaluation of the Swedish Version of the Empathic Experience Scale (EES)
Authors: Sarling Andreas , Sundin Örjan , Jansson Billy
Published: July 2024

Abstract: Background: This study assessed the factor structure and psychometric properties of the Swedish version of the Empathic Experience Scale (EES), a recently developed scale for empathic traits ( Innamorati et al., 2019 ). According to previous research, EES has two dimensions: Vicarious Experience and Intuitive Understanding. Methods: We used a split-sample method with a combination of exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) for an adult population ( N = 805) from both Sweden and Finland. Results: Our findings support previous research, favoring a two-factor model over a unidimensional model. The final model provided support for measurement invariance across different grouping variables. Consistent with previous research on empathic traits, women obtained higher scores on both dimensions of the scale compared to men. Furthermore, the EES showed high internal consistency, good discriminant, and convergent validity.
How Well Does the DOE Global Storm Resolving Model Simulate Clouds and Precipitation Over the Amazon?
Authors: Tian Jingjing , Zhang Yunyan , Klein Stephen A. , Terai Christopher R. , Caldwell Peter M. , Beydoun Hassan , Bogenschutz Peter , Ma Hsi‐Yen , Donahue Aaron S.
Published: July 2024

This study assesses a 40‐day 3.25‐km global simulation of the Simple Cloud‐Resolving E3SM Model (SCREAMv0) using high‐resolution ground‐based observations from the Atmospheric Radiation Measurement (ARM) Green Ocean Amazon (GoAmazon) field campaign. SCREAMv0 reasonably captures the diurnal timing of boundary layer clouds yet underestimates the boundary layer cloud fraction and mid‐level congestus. SCREAMv0 well replicates the precipitation diurnal cycle, however it exhibits biases in the precipitation cluster size distribution compared to scanning radar observations. Specifically, SCREAMv0 overproduces clusters smaller than 128 km, and does not form enough large clusters. Such biases suggest an inhibition of convective upscale growth, preventing isolated deep convective clusters from evolving into larger mesoscale systems. This model bias is partially attributed to the misrepresentation of land‐atmosphere coupling. This study highlights the potential use of high‐resolution ground‐based observations to diagnose convective processes in global storm resolving model simulations, identify key model deficiencies, and guide future process‐oriented model sensitivity tests and detailed analyses.
Asymmetric and Irreversible Response of Tropical Cyclone Potential Intensity to CO2 Removal
Authors: Huan Dubin , Yan Qing
Published: July 2024

Understanding the behaviors of tropical cyclone (TC) intensity under the CO2 removal scenario is important for future climate adaptation and policy making. Based on the idealized CO2 ramp‐up (from 284.7 to 1,138.8 ppm) and symmetric ramp‐down experiments, our results suggest an asymmetric and irreversible response of TC potential intensity to CO2 reduction. Potential intensity shows an additional enhancement at the same CO2 level during the CO2 ramp‐down relative to the ramp‐up periods (though with regional differences), and does not completely return to the initial value even when CO2 recovers on multi‐decadal to centennial timescale. The enhanced potential intensity is dominated by the increased thermodynamic disequilibrium, which is mainly attributed to the weakened surface winds arising from the El Niño‐like warming pattern and inter‐hemispheric ocean temperature contrast. Our results highlight the potential risks of stronger storms on the socioeconomic development under the negative carbon emissions pathways.
Tissue microenvironment induces tissue specificity of ILC2
Authors: Qin Minjing , Fang Yuanyuan , Zheng Qitong , Peng Mengyun , Wang Lu , Sang Xia’nan , Cao Gang
Published: July 2024

Type 2 innate lymphoid cells were found to be members of the innate immune cell family, which is involved in innate and adaptive immunity to resist the invasion of foreign antigens and induce allergic reactions caused by allergens. The advancement of ILC2 research has pointed out that ILC2s have a high degree of diversity, challenging the notion of their homogeneity as a cellular population. An increasing number of studies indicate that ILC2 is a cell population with tissue specificity which can be induced by the tissue microenvironment. In addition, crosstalk between tissues can change ILC2 functions of migration and activation. Here, we emphasize that ILC2 undergoes adaptive changes under the regulation of the tissue microenvironment and distant tissues, thereby coordinating the organization’s operation. In addition, ILC2 alterations induced by the tissue microenvironment are not limited to the ILC2 cell population, and ILC2 can also transdifferentiate into another class of ILC cell population (ILC1 or ILC3). In this review, we summarized the tissue-specific effects of ILC2 by tissue microenvironment and focused on the function of ILC2 in inter-tissue crosstalk. Lastly, we discussed the transdifferentiations of ILC2 caused by the abnormal change in tissue environment.
Controlling 229Th isomeric state population in a VUV transparent crystal
Authors: Hiraki Takahiro , Okai Koichi , Bartokos Michael , Beeks Kjeld , Fujimoto Hiroyuki , Fukunaga Yuta , Haba Hiromitsu , Kasamatsu Yoshitaka , Kitao Shinji , Leitner Adrian , Masuda Takahiko , Guan Ming , Nagasawa Nobumoto , Ogake Ryoichiro , Pimon Martin , Pressler Martin , Sasao Noboru , Schaden Fabian , Schumm Thorsten , Seto Makoto , Shigekawa Yudai , Shimizu Kotaro , Sikorsky Tomas , Tamasaku Kenji , Takatori Sayuri , Watanabe Tsukasa , Yamaguchi Atsushi , Yoda Yoshitaka , Yoshimi Akihiro , Yoshimura Koji
Published: July 2024

The radioisotope thorium-229 (229Th) is renowned for its extraordinarily low-energy, long-lived nuclear first-excited state. This isomeric state can be excited by vacuum ultraviolet (VUV) lasers and 229Th has been proposed as a reference transition for ultra-precise nuclear clocks. To assess the feasibility and performance of the nuclear clock concept, time-controlled excitation and depopulation of the 229Th isomer are imperative. Here we report the population of the 229Th isomeric state through resonant X-ray pumping and detection of the radiative decay in a VUV transparent 229Th-doped CaF2 crystal. The decay half-life is measured to 447(25) s, with a transition wavelength of 148.18(42) nm and a radiative decay fraction consistent with unity. Furthermore, we report a new “X-ray quenching” effect which allows to de-populate the isomer on demand and effectively reduce the half-life. Such controlled quenching can be used to significantly speed up the interrogation cycle in future nuclear clock schemes.
Biophysical neural adaptation mechanisms enable artificial neural networks to capture dynamic retinal computation
Authors: Idrees Saad , Manookin Michael B. , Rieke Fred , Field Greg D. , Zylberberg Joel
Published: July 2024

Adaptation is a universal aspect of neural systems that changes circuit computations to match prevailing inputs. These changes facilitate efficient encoding of sensory inputs while avoiding saturation. Conventional artificial neural networks (ANNs) have limited adaptive capabilities, hindering their ability to reliably predict neural output under dynamic input conditions. Can embedding neural adaptive mechanisms in ANNs improve their performance? To answer this question, we develop a new deep learning model of the retina that incorporates the biophysics of photoreceptor adaptation at the front-end of conventional convolutional neural networks (CNNs). These conventional CNNs build on ’Deep Retina,’ a previously developed model of retinal ganglion cell (RGC) activity. CNNs that include this new photoreceptor layer outperform conventional CNN models at predicting male and female primate and rat RGC responses to naturalistic stimuli that include dynamic local intensity changes and large changes in the ambient illumination. These improved predictions result directly from adaptation within the phototransduction cascade. This research underscores the potential of embedding models of neural adaptation in ANNs and using them to determine how neural circuits manage the complexities of encoding natural inputs that are dynamic and span a large range of light levels.
1,3-Difunctionalization of [1.1.1]propellane through iron-hydride catalyzed hydropyridylation
Authors: Kim Changha , Kim Yuhyun , Hong Sungwoo
Published: July 2024

Current methodologies for the functionalization of [1.1.1]propellane primarily focus on achieving 1, 3-difunctionalized bicyclo[1.1.1]pentane or ring-opened cyclobutane moiety. Herein, we report an innovative approach for the 1, 3-difunctionalization of [1.1.1]propellane, enabling access to a diverse range of highly functionalized cyclobutanes via nucleophilic attack followed by ring opening and iron-hydride hydrogen atom transfer. To enable this method, we developed an efficient iron-catalyzed hydropyridylation of various alkenes for C − H alkylation of pyridines at the C4 position, eliminating the need for stoichiometric quantities of oxidants or reductants. Mechanistic investigations reveal that the resulting N-centered radical serves as an effective oxidizing agent, facilitating single-electron transfer oxidation of the reduced iron catalyst. This process efficiently sustains the catalytic cycle, offering significant advantages for substrates with oxidatively sensitive functionalities that are generally incompatible with alternative approaches. The strategy presented herein is not only mechanistically compelling but also demonstrates broad versatility, highlighting its potential for late-stage functionalization.
Homologous but not heterologous COVID-19 vaccine booster elicits IgG4+ B-cells and enhanced Omicron subvariant binding
Authors: Hartley Gemma E. , Fryer Holly A. , Gill Paul A. , Boo Irene , Bornheimer Scott J. , Hogarth P. Mark , Drummer Heidi E. , O’Hehir Robyn E. , Edwards Emily S. J. , van Zelm Menno C.
Published: July 2024

Booster vaccinations are recommended to improve protection against severe disease from SARS-CoV-2 infection. With primary vaccinations involving various adenoviral vector and mRNA-based formulations, it remains unclear if these differentially affect the immune response to booster doses. We examined the effects of homologous (mRNA/mRNA) and heterologous (adenoviral vector/mRNA) vaccination on antibody and memory B cell (Bmem) responses against ancestral and Omicron subvariants. Healthy adults who received primary BNT162b2 (mRNA) or ChAdOx1 (vector) vaccination were sampled 1-month and 6-months after their 2nd and 3rd dose (homologous or heterologous) vaccination. Recombinant spike receptor-binding domain (RBD) proteins from ancestral, Omicron BA.2 and BA.5 variants were produced for ELISA-based serology, and tetramerized for immunophenotyping of RBD-specific Bmem. Dose 3 boosters significantly increased ancestral RBD-specific plasma IgG and Bmem in both cohorts. Up to 80% of ancestral RBD-specific Bmem expressed IgG1+. IgG4+ Bmem were detectable after primary mRNA vaccination, and expanded significantly to 5–20% after dose 3, whereas heterologous boosting did not elicit IgG4+ Bmem. Recognition of Omicron BA.2 and BA.5 by ancestral RBD-specific plasma IgG increased from 20% to 60% after the 3rd dose in both cohorts. Reactivity of ancestral RBD-specific Bmem to Omicron BA.2 and BA.5 increased following a homologous booster from 40% to 60%, but not after a heterologous booster. A 3rd mRNA dose generates similarly robust serological and Bmem responses in homologous and heterologous vaccination groups. The expansion of IgG4+ Bmem after mRNA priming might result from the unique vaccine formulation or dosing schedule affecting the Bmem response duration and antibody maturation.
Lifetime optimisation of integrated thermally and electrically driven solar desalination plants
Authors: Winchester Benedict , Huang Gan , Beath Hamish , Sandwell Philip , Cen Jiajun , Nelson Jenny , Markides Christos N.
Published: July 2024

We compare the performance of photovoltaic (PV), flat-plate and evacuated-tube solar-thermal (ST), and hybrid photovoltaic-thermal (PV-T) collectors to meet the energy demands of multi-effect distillation (MED) desalination plants across four locations. We consider three scales: 1700 m3day−1, 120 m3day−1 and 3 m3day−1. We find a strong dependence of the capacity and configuration of the solar collectors on both the cost of sourcing electricity from the grid and the specific collector employed. We find specific costs as low as 7.8, 3.4 and 3.7 USDm−3 for the three plant capacities. We find that solar-driven systems optimised for the lowest specific cost result in CO2eq emissions equal to, or higher than, those from grid-driven reverse osmosis (RO) and in line with PV-RO. This highlights the need to consider the environmental footprint of these systems to ensure that desalination is in line with the United Nations’ Sustainable Development Goal 6.
A systematic search for RNA structural switches across the human transcriptome
Authors: Khoroshkin Matvei , Asarnow Daniel , Zhou Shaopu , Navickas Albertas , Winters Aidan , Goudreau Jackson , Zhou Simon K. , Yu Johnny , Palka Christina , Fish Lisa , Borah Ashir , Yousefi Kian , Carpenter Christopher , Ansel K. Mark , Cheng Yifan , Gilbert Luke A. , Goodarzi Hani
Published: July 2024

RNA structural switches are key regulators of gene expression in bacteria, but their characterization in Metazoa remains limited. Here, we present SwitchSeeker, a comprehensive computational and experimental approach for systematic identification of functional RNA structural switches. We applied SwitchSeeker to the human transcriptome and identified 245 putative RNA switches. To validate our approach, we characterized a previously unknown RNA switch in the 3ʹ untranslated region of the RORC (RAR-related orphan receptor C) transcript. In vivo dimethyl sulfate (DMS) mutational profiling with sequencing (DMS-MaPseq), coupled with cryogenic electron microscopy, confirmed its existence as two alternative structural conformations. Furthermore, we used genome-scale CRISPR screens to identify trans factors that regulate gene expression through this RNA structural switch. We found that nonsense-mediated messenger RNA decay acts on this element in a conformation-specific manner. SwitchSeeker provides an unbiased, experimentally driven method for discovering RNA structural switches that shape the eukaryotic gene expression landscape.
Deep learning pose detection model for sow locomotion
Authors: de Paula Tauana Maria Carlos Guimarães , de Sousa Rafael Vieira , Sarmiento Marisol Parada , Kramer Ton , de Souza Sardinha Edson José , Sabei Leandro , Machado Júlia Silvestrini , Vilioti Mirela , Zanella Adroaldo José
Published: July 2024

Lameness affects animal mobility, causing pain and discomfort. Lameness in early stages often goes undetected due to a lack of observation, precision, and reliability. Automated and non-invasive systems offer precision and detection ease and may improve animal welfare. This study was conducted to create a repository of images and videos of sows with different locomotion scores. Our goal is to develop a computer vision model for automatically identifying specific points on the sow's body. The automatic identification and ability to track specific body areas, will allow us to conduct kinematic studies with the aim of facilitating the detection of lameness using deep learning. The video database was collected on a pig farm with a scenario built to allow filming of sows in locomotion with different lameness scores. Two stereo cameras were used to record 2D videos images. Thirteen locomotion experts assessed the videos using the Locomotion Score System developed by Zinpro Corporation. From this annotated repository, computational models were trained and tested using the open-source deep learning-based animal pose tracking framework SLEAP (Social LEAP Estimates Animal Poses). The top-performing models were constructed using the LEAP architecture to accurately track 6 (lateral view) and 10 (dorsal view) skeleton keypoints. The architecture achieved average precisions values of 0.90 and 0.72, average distances of 6.83 and 11.37 in pixel, and similarities of 0.94 and 0.86 for the lateral and dorsal views, respectively. These computational models are proposed as a Precision Livestock Farming tool and method for identifying and estimating postures in pigs automatically and objectively. The 2D video image repository with different pig locomotion scores can be used as a tool for teaching and research. Based on our skeleton keypoint classification results, an automatic system could be developed. This could contribute to the objective assessment of locomotion scores in sows, improving their welfare.
Comparison of three primer pairs for molecular sex determination in Eurasian pygmy owls (Glaucidium passerinum)
Authors: Stehlíková Sovadinová Simona , Mekadim Chahrazed , Korpimäki Erkki , Mrázek Jakub , Kouba Marek
Published: July 2024

Bird sex determination is fundamental in various ecological and biological studies, although many avian species cannot be sexed visually due to their monomorphic and/or monochromatic appearance. Thus, reliable laboratory methods for sexing are a prerequisite. Most avian nestlings lack sex-related signs, including the Eurasian pygmy owl (Glaucidium passerinum). We performed laboratory sex determination analysis of this species using blood samples of 242 juveniles and nine adults. It relied on the qPCR of the specific intron from the chromo-helicase DNA-binding protein 1 gene. We tested three primer sets, the P2/P8, 2550F/2718R, and CHD1F/CHD1R, commonly used for bird laboratory sexing. The outcomes were displayed on an agarose gel electrophoresis and a plot from melt curve analysis, which had not been previously conducted in Eurasian pygmy owls. We found that only primer set CHD1F/CHD1R proved reliable, as the only one determined sex with one and two band/s and peak/s on the electrophoresis and the melt curve plot for males and females, respectively. The other two primer pairs failed and depicted one band/peak in all specimens regardless of their sex. Therefore, we recommend performing Eurasian pygmy owls’ laboratory sexing by qPCR with CHD1F/CHD1R primers only.
SGLT2 inhibitors attenuate endothelial to mesenchymal transition and cardiac fibroblast activation
Authors: Schmidt Kevin , Schmidt Arne , Groß Sonja , Just Annette , Pfanne Angelika , Fuchs Maximilian , Jordan Maria , Mohr Elisa , Pich Andreas , Fiedler Jan , Thum Thomas
Published: July 2024

Beneficial effects of sodium glucose co-transporter 2 inhibitors (SGLT2is) in cardiovascular diseases have been extensively reported leading to the inclusion of these drugs in the treatment guidelines for heart failure. However, molecular actions especially on non-myocyte cells remain uncertain. We observed dose-dependent inhibitory effects of two SGLT2is, dapagliflozin (DAPA) and empagliflozin (EMPA), on inflammatory signaling in human umbilical vein endothelial cells. Proteomic analyses and subsequent enrichment analyses discovered profound effects of these SGLT2is on proteins involved in mitochondrial respiration and actin cytoskeleton. Validation in functional oxygen consumption measurements as well as tube formation and migration assays revealed strong impacts of DAPA. Considering that most influenced parameters played central roles in endothelial to mesenchymal transition (EndMT), we performed in vitro EndMT assays and identified substantial reduction of mesenchymal and fibrosis marker expression as well as changes in cellular morphology upon treatment with SGLT2is. In line, human cardiac fibroblasts exposed to DAPA showed less proliferation, reduced ATP production, and decelerated migration capacity while less extensive impacts were observed upon EMPA. Mechanistically, sodium proton exchanger 1 (NHE1) as well as sodium-myoinositol cotransporter (SMIT) and sodium-multivitamin cotransporter (SMVT) could be identified as relevant targets of SGLT2is in non-myocyte cardiovascular cells as validated by individual siRNA-knockdown experiments. In summary, we found comprehensive beneficial effects of SGLT2is on human endothelial cells and cardiac fibroblasts. The results of this study therefore support a distinct effect of selected SGLT2i on non-myocyte cardiovascular cells and grant further insights into potential molecular mode of action of these drugs.
Association between vitamin B1 intake and hyperuricemia in adults
Authors: Li Yi-Ming , Xu Xiao-Hu , Xu Xiao-Fan , Yang Xia-Xia , Dai Yi-Long , Song Dong-Xue , Jin Cheng-Qiang , Jia Yan-Xia
Published: July 2024

Studies investigating the relationship between dietary vitamin B1 intake and risk of Hyperuricemia (HU) are scarce, the present study aimed to examine the association of dietary vitamin B1 intake and HU among adults. This cross-sectional study included 5750 adults whose data derived from National Health and Nutrition Examination Survey (NHANES) from March 2017 to March 2020. The dietary intake of vitamin B1 was assessed using 24-h dietary recall interviews. The characteristics of study participants were grouped into five levels according to the levels of vitamin B1 quintile. Multivariate logistic regression analysis was used to estimate the odds ratio (OR) and 95% confidence interval (CI) of HU, according to the vitamin B1 intake quintile for male and female separately. The dose–response relationship was determined by the restricted cubic spline (RCS). Smoothed curve fitting was used to assess serum uric acid concentration versus dietary vitamin B1 intake in the study population. The prevalence of hyperuricemia was 18.90% (20.15% and 17.79% for males and females, respectively) in the United States from March 2017 to March 2020. Multiple logistic regression analyses showed that in the male population, the HU ratio (OR) of vitamin B1 intake in Q2 to Q5 compared with the lowest quintile (Q1) was 0.75 (95% CI 0.52, 1.09), 0.70 (95% CI 0.48, 1.02), 0.66 (95% CI 0.44, 0.99) and 0.55 (95% CI 0.34, 0.90). The P for trend was 0.028. In women, the ORs for vitamin B1 intake Q2 to Q5 were 0.87 (95% CI 0.64, 1.19), 0.97 (0.68–1.38), 1.05 (0.69–1.60) and 0.75 (0.42–1.34), respectively. The P for trend was 0.876. The RCS curve revealed a linear relationship between vitamin B1 intake and the risk of hyperuricemia in men (P nonlinear = 0.401). Smoothed curve fitting demonstrated a negative association between vitamin B1 intake and serum uric acid concentration in men, whereas there was no significant association between dietary vitamin B1 intake and the risk of hyperuricemia in women. In the US adult population, dietary vitamin B1 intake was negatively associated with hyperuricemia in males.
Unveiling the ecotoxicological effects of azoxystrobin-based fungicides at realistic concentrations on the land snail, Theba pisana
Authors: Radwan Mohamed A. , Gad Amira F. , Abd El-Aziz Amira M. , El-Gendy Kawther S.
Published: July 2024

The ecotoxicological consequences of azoxystrobin on land snails have not yet been addressed. Therefore, the present study aims to provide novel data on the threat of a commercial grade azoxystrobin (AMISTAR) at two environmentally relevant concentrations (0.3 µg/ml) and tenfold (3 µg/ml) on the model species, Theba pisana by physiological, biochemical, and histopathological markers for 28 days. Our results showed a reduction in animal food consumption and growth due to exposure to both azoxystrobin concentrations. It also induced oxidative stress and led to a significant decrease in lipid peroxidation (LPO) levels after 7 days of exposure, while the opposite effect occurred after 28 days. Except for the 7-day exposure, all treated snails had significantly reduced glutathione (GSH) content and increased catalase (CAT) activity at all-time intervals. Glutathione peroxidase (GPx), glutathione-S-transferase (GST) activities, and protein content (PC) were elevated in treated snails at all-time intervals. Moreover, alterations in acetylcholinesterase (AChE) activity between a decrease and an increase were noticed. Additionally, azoxystrobin exerted changes in T. pisana hepatopancreas architecture. Our study suggests that azoxystrobin may have negative ecological consequences for T. pisana and highlights its potential risks to the natural environment.
Ecofriendly micellar mediated spectrofluorimetric method for ultrasensitive quantification of the antiparkinsonian drug safinamide in pharmaceutical formulation and spiked human plasma
Authors: Ibrahim Engy A. , Marzouk Hoda M. , Hegazy Maha A. , Fattah Laila E. Abdel , Saad Samah S.
Published: July 2024

A novel, highly sensitive and eco-friendly micellar-mediated spectrofluorimetric method was developed and validated for the determination of the novel antiparkinsonian drug safinamide mesylate in the presence of its related precursor impurity, 4-hydroxybenzaldehyde. The proposed approach relies on increasing the inherent fluorescence emission at 296 nm of safinamide, by forming hydrogen bonds between the mentioned drug and sodium dodecyl sulfate in the micellar system using 0.1 N HCl as a solvent, following excitation at 226 nm. A thorough investigation was conducted into the experimental factors affecting spectrofluorimetric behavior of the studied drug. A linearity plot of safinamide over the concentration range of 10.0–1000.0 ng/mL against the relative fluorescence intensities was established. The proposed method demonstrated excellent sensitivity down to the nano-gram level with detection and quantitation limits of 1.91 and 5.79 ng/mL, respectively. The studied drug was effectively determined in Parkimedine® Tablets. Furthermore, the proposed method allows for ultrasensitive quantification of safinamide in spiked human plasma, with satisfactory percentage recovery (98.97–102.28%). Additionally, the greenness assessment using the advanced green certificate classification approach, the complementary green analytical procedure index (Complex-GAPI), and the analytical GREEness metric approach (AGREE), along with the practicality check using the Blue Applicability Grade Index in addition to the all-inclusive overall whiteness evaluation using the RGB-12 model were carried out. The outcomes demonstrated the effectiveness and whiteness of the proposed technique. Clearly, the suggested approach has the advantages of being simple, requiring no pretreatment steps, and relying solely on direct measuring procedures.
Perception and adaptation of receptive prosody in autistic adolescents
Authors: Kurumada Chigusa , Rivera Rachel , Allen Paul , Bennetto Loisa
Published: July 2024

A fundamental aspect of language processing is inferring others’ minds from subtle variations in speech. The same word or sentence can often convey different meanings depending on its tempo, timing, and intonation–features often referred to as prosody. Although autistic children and adults are known to experience difficulty in making such inferences, the science remains unclear as to why. We hypothesize that detail-oriented perception in autism may interfere with the inference process if it lacks the adaptivity required to cope with the variability ubiquitous in human speech. Using a novel prosodic continuum that shifts the sentence meaning gradiently from a statement (e.g., “It’s raining”) to a question (e.g., “It’s raining?”), we have investigated the perception and adaptation of receptive prosody in autistic adolescents and two groups of non-autistic controls. Autistic adolescents showed attenuated adaptivity in categorizing prosody, whereas they were equivalent to controls in terms of discrimination accuracy. Combined with recent findings in segmental (e.g., phoneme) recognition, the current results provide the basis for an emerging research framework for attenuated flexibility and reduced influence of contextual feedback as a possible source of deficits that hinder linguistic and social communication in autism.