The rapid growth of conversational systems has highlighted the critical need for models capable of generating contextually accurate and relevant responses, particularly in knowledge-dependent interactions. A novel approach is introduced through the integration of retrieval-augmented generation (RAG) and model distillation, allowing enhanced alignment between generated responses and dynamic external knowledge sources. This method not only improves the factual correctness of responses but also addresses the limitations of static, pre-trained models, which often struggle with hallucinations and outdated information. Experiments reveal that the modified model demonstrates superior performance in terms of retrieval accuracy, response coherence, and computational efficiency, particularly in multi-turn conversations requiring complex knowledge integration. The synergy between retrieval mechanisms and generative processes significantly improves the model's scalability and adaptability, making it suitable for real-time applications across diverse query types. Additionally, the streamlined computational footprint achieved through model distillation ensures that the student model retains the teacher's high accuracy while operating with reduced resource requirements.

Flower-derived eDNA holds great promise as a rapid and non-invasive tool for monitoring pollinators and their plant-associations. However, pollinators often only briefly interact with a plant and leave little eDNA, making them particularly challenging to detect. In addition, taxonomic biases in eDNA deposition and PCR amplification prevent quantitative analysis of pollinator diversity. These limitations have so far precluded the widespread use of eDNA in pollinator monitoring. Comparing flower-derived eDNA with conventional monitoring in flower strips, we here explore the utility of eDNA to detect community diversity, species abundances and ecological specificity of plant-associated arthropods. We show that read abundances are a bad predictor of true abundances at the community level. Instead, the occupancy of individual species in replicated flower eDNA samples provides reliable quantitative estimates of pollinator biodiversity and detects their ecological specificity very well. Also, we find that pollinator eDNA can be collected non-invasively, by washing off from flowers in the field. Our work highlights eDNA analysis as a powerful tool for the rapid future monitoring of plant-arthropod interactions and plant-pollinator networks.

Ecohydrology engineering provides a valuable framework for addressing emerging environmental challenges by integrating ecological and environmental engineering principles. In this study, we discuss the potential of parsimonious, physically-based ecohydrological models through the lens of three case studies: sustainable irrigation, urban heat island mitigation via green roofs, and mangrove restoration for climate change mitigation. First, we investigate sustainable irrigation strategies, illustrating the trade-offs between water conservation and soil salinization. This highlights the delicate balance required to optimize crop yield while mitigating soil degradation. Second, we explore the role of green roofs in urban heat island mitigation, showing how vegetation and water dynamics on rooftops can enhance latent heat flux, thereby potentially reducing urban temperatures and improving building energy efficiency. Lastly, we assess the climate mitigation potential of mangrove restoration, accounting for the impacts of salinization and sea-level rise. We demonstrate that carbon sequestration in mangrove ecosystems may be strongly limited by productivity reduction due to salinity and reduced area availability under sea-level rise. These examples highlight the value of simple ecohydrological models in providing critical insights into sustainable environmental management. Ecohydrological engineering, therefore, offers promising avenues for developing innovative solutions that leverage the intricate connections between water and biota to address emerging challenges.

The water hyacinth challenge is widespread throughout many tropical and subtropical areas of the planet. It is an invasive, floating aquatic plant that poses a substantial threat of unanticipated water loss and highly impacts on physicochemical water quality of a standing water body. The study aimed to evaluate the evapotranspiration rate of water hyacinth and water quality deterioration on Lake Tana. The experiment was carried out in two artificial ponds (i.e., control and with water hyacinth). Each pond had a 1-meter width, 1-meter length, and 0.94 meters height. The pond water level measurement was carried out for three months. To evaluate the impacts on water hyacinth on lake water, samples were taken from Lake Tana at 0.5 meter depth and 2 kilometers intervals by using judgmental sampling methods. Samples were taken at four points: with water hyacinth and without water hyacinth. The statistical analyses of dissolved oxygen with water hyacinth were 6.65 ± 0.44 mg/l, and without water hyacinth was 7.93 ± 0.42 mg/l with a p-value of (p < 0.0058). The total dissolved solid with water hyacinth was 90.6 ±1.06 mg/l, and without water hyacinth was 92.1 ± 0.54 mg/l, with a p-value of (p<0.05). The temperature of the Lake with water hyacinth was 23.70 ± 0.42 0c, and without water hyacinth was 22.08 ± 0.33 0c with a p-value of (p<0.0057) and the PH of the Lake with water hyacinth was 5.53±0.53, and without water hyacinth was 6.53±0.40 with a p-value of (p<0.0021). In the experiment, the result showed that the water loss by water hyacinth was 1.6 times greater than free water surface evaporation from the control pond. The result of water loss by water hyacinth, in a 1 m 2 area of the pond was 0.28 m 3/ month. Then, the estimated water loss by water hyacinth on Lake Tana was minimally about 779,240 m 3/month and maximally 7,012,600 m 3/month. However, water loss by water hyacinth on the Lake was comparatively very low, because the water loss by water hyacinth on Lake Tana for evapotranspiration is more suitable than from the experiment station by the factor of albedo.

Wildfire frequency, intensity, and severity are increasing across the Western U.S. Significant tree mortality can occur years after fire events, but this has received little attention compared to the immediate tree loss during a fire. We overlapped forest cover loss data with burn severity maps in the U.S. Pacific Northwest and quantified the total and delayed forest canopy loss after fires. We found that wildfires resulted in total canopy losses of 89%, 67%, and 31% within three years in areas burned at high, moderate, and low severity, respectively. The delayed canopy loss accounted for approximately 1/3, 1/2, and 2/3 of the total canopy loss for high, moderate, and low severity burns. Delayed canopy loss was greater in moist and cool areas than in dry and warm areas, possibly because tree species in the wetter areas are less adapted to tolerate fires with traits such as bark thickness and crown height. Across all forests, delayed canopy loss was greater in dry and warm years. These results suggest greater canopy losses will occur as wildfires expand into areas that historically experienced infrequent fires.

The hydrothermal springs (HTSs) are unique environments characterised by the emergence of geothermally heated groundwater that often releases large amounts of dissolved minerals. Despite interest in HTSs, the microbial composition of these sites remains largely under-explored, particularly concerning the interactions between marine invertebrates and microorganisms. As an example, the shallow HTSs of Trapani (West coast of Sicily, Italy) maintain a constant temperature of 31 °C throughout the year and two invertebrates and are inhabited by the nudibranch Peltodoris atromaculata (P. atromaculata) and the sponge Petrosia ficiformis (P. ficiformis). This study aimed to analyse the bacterial communities associated with the sponge P. ficiformis and the mantle and gut of P. atromaculata. Our results, based on Next-Generation sequencing of the bacterial marker gene (16S rDNA), revealed that the bacterial communities associated with the sponge P. ficiformis and the mantle of P. atromaculata are strikingly similar, suggesting a shared bacterial community, while also exhibiting distinct bacterial differences. However, signatures of bacterial families were found in the gut and mantle of P. atromaculata. These findings shed light on the bacterial composition of the nudibranch P. atromaculata and the sponge P. ficiformis, both considered bioindicators of environmental conditions and highlight the importance of investigating the microbial biodiversity in these peculiar environments to be preserved at every taxonomic level. Additionally, to date, we have provided a brief introduction to understanding the role of host-bacteria interactions in marine invertebrates and these unique environments in shaping entire communities.

Objective: Individuals with schizotypal traits can be considered at high-risk for schizophrenia. Studies have shown that individuals with schizotypal traits exhibited neurophysiological abnormalities. However, whether and to what extent could electroencephalogram (EEG) data discriminate individuals with high and low schizotypal traits remained unknown. The present study aimed to examine this issue using a deep learning approach. Method: The resting-state EEG data were collected in 48 individuals with high schizotypal traits and 50 individuals with low schizotypal traits during both eyes-open and eyes-closed conditions. Three EEG datasets were constructed: the eyes-open dataset, the eyes-closed dataset, and the combined dataset. Subsequently, the EEG data of the two groups were classified using the Long and Short-Term Memory Network combined with a one-dimensional Convolutional Neural Network (LSTM-1DCNN) model. Results: The LSTM-1DCNN model demonstrated high accuracy in identifying individuals with schizotypal traits across the eyes-open, eyes-closed and combined datasets, with an accuracy of 94.86%, 94.26%, and 95.30%, respectively. The state of participants’ eyes (open or closed) did not affect the identification accuracy. Conclusion: Individuals with high schizotypal traits exhibited distinct EEG patterns compared to those with low schizotypal traits. EEG data and deep learning algorithm can be employed to identify individuals at risk for schizophrenia.

Aim: Cannabis use disorder (CUD) typically onsets before age 22 and accounts for the majority of substance use treatment presentations by Australian youth. There are no established pharmacotherapies for CUD. Guanfacine extended-release (XR) is an alpha 2a adrenergic receptor agonist that is approved for attention deficit hyperactivity disorder in children and adolescents. Immediate-release guanfacine alleviates some cannabis withdrawal symptoms in adults. The XR formulation can be taken once daily, is well-characterised in children and adolescents, and reduces impulsivity in those with ADHD. The GRACE study – embedded within youth substance use treatment services in Victoria, Australia – will assess whether guanfacine XR added to treatment as usual (TAU) reduces the frequency of cannabis use following monitored abstinence in youth with CUD. Methods: GRACE is a pragmatic Phase 2b, double-blind, parallel-group superiority randomised controlled trial of guanfacine XR for youth aged 12-25 years seeking treatment for CUD (mild-severe). Participants (N=100) are randomly assigned in a 1:1 ratio to receive guanfacine XR (target dose 4 mg/day) or placebo plus TAU, including residential admission for supervised withdrawal for up to 14 days. The primary endpoint is efficacy, indexed by change from baseline in frequency of cannabis use (days/week) during 4-weeks in the community following discharge from residential withdrawal, measured weekly with the Timeline Follow Back. Results. GRACE commenced recruitment in August 2023; data collection is ongoing. Conclusions. The GRACE trial will investigate the efficacy of guanfacine XR – a promising candidate for CUD – in young people presenting for CUD treatment.

Aim The genus Camellia is widely distributed, primarily in East Asia. Camellia japonica is located at the northern limit of this genus distribution, and elucidating its distribution changes is crucial for understanding the evolution of plants in this region, as well as their relationship with geological history and climate change. Also, the classification of sect. Camellia in Japan has not been clarified. Therefore, the aim of this study is to understand the evolutionary history of Japanese sect. Camellia. Location Japan, Korea, Taiwan, and the coastal area of China Taxon Camella (Theaceae). Methods The genetic population structure was analyzed by SNP data using MIG-seq. The relationship between Japanese sect. Camellia including the related species in China was further inferred from the phylogeny generated by RA x ML, SplitsTree and PCA. Population genetic structure was inferred using a Bayesian clustering method (ADMIXTURE). We then employed approximate Bayesian computation to explore the changes in population, asking which events best explain the phylogeographical signature. Ecological niche modeling was combined with genetic analyses to compare current and past distributions. Results The analyses consistently showed that C. japonica and C. rusticana are distinct, having diverged from each other between approximately 5.4 and 12 million years ago. Furthermore, C. japonica differentiated into four major populations (North, South, Ryukyu-Taiwan, and Continent). Main Conclusion Japanese sect. Camellia underwent speciation during archipelago formation, reflecting its ancient evolutionary history compared with other native Japanese plants. The conventional hypothesis that C. rusticana diverged from C. japonica in snow-rich environments under Quaternary period was rejected. Our results suggest that both species have been independent since ancient times, and that ancestral populations of C. japonica have persisted in northern regions. Furthermore, it is estimated that C. japonica population on the continent experienced a back-dispersal event from southern Japan during the late Pleistocene glaciation.

A document by Olawale Akinola. Click on the document to view its contents.

Background and Purpose Hydrogen sulphide (H2S) is synthesised endogenously through cystathionine β-synthase (CBS), cystathionine γ-lyase (CSE), and 3-mercaptopyruvate sulfurtransferase (3-MST). Although exogenous H2S is known to produce vasodilatation, the vascular effect of H2S produced through 3-MST is unknown. In this study we demonstrate the effect of a novel inhibitor of 3-MST, DPHE, and determined the effect of this compound on contractile responses in porcine coronary artery. Experimental Approach Synthesis of H2S through 3-MST, and CBS/CSE was determined in rat liver cytosols. Effects of 3-MST inhibitors DPHE, 3-PAB, or I3MT-3, or CBS/CSE inhibitors AOAA and PPG on contractile responses in porcine coronary arteries were determined using isolated tissue baths. Key Results DPHE inhibited the production of H2S from 3-meraptopyruvate (IC50 ~8 µM). The 3-MST inhibitors DPHE, I3MT-3, and 3-PAB all inhibited contractions to U46619 in porcine coronary artery segments through an endothelium-independent mechanism. DPHE and 3MT-3 reduced the U46619 contractions in the absence of extracellular calcium and inhibited the contraction to the L-type calcium channel opener BAY K8644. The combination of AOAA (100 µM) and PPG (10 µM) had no effect on the U46619 contractions. The inhibitory effect of the 3-MST inhibitors does not appear to involve Rho kinase, ERK-MAP kinase, or the mitochondrial electron transport chain. Conclusions and Implications Inhibition of 3-MST in coronary arteries leads to an inhibition of both calcium-dependent and -independent contractions, whereas CBS/CSE inhibitors had no effect on receptor mediated contractions. These data suggest that 3-MST, not CBS/CSE, regulates vascular tone in porcine coronary artery.

Sub-models representing transformation processes by microorganisms and hydrolases, a one-dimensional (1-D) biofilm, and a bioreactor were integrated to simulate organic-matter fermentation and methane (CH 4) production in an anaerobic moving bed biofilm reactor (AnMBBR). The integrated models correctly represented all experimental observations and identified mechanisms underlying how and why AnMBBR performance changed when the volumetric loading rate (VLR) of total chemical oxygen demand (TCOD) increased from 3.9 to 19.5 kg COD T/m 3-d. The fractional removal of TCOD and CH 4 production decreased as the VLR of TCOD increased due in part to an increasing biofilm thickness that filled the interior channels of plastic carriers and led to a decrease in biofilm surface area and an increase in the mass-transfer boundary layer. Also, the ~25-day duration for each VLR of TCOD was too short to allow the biofilm to establish a new quasi steady state with respect to biofilm thickness. The mechanistic understanding of how biofilm characteristics and process performance respond to increased VLR of TCOD can be applied in engineering practice to improve AnMBBR process design and operation.

Background: Current protocols for the management of severe asthma exacerbations include step therapy with bronchodilators (short-acting beta 2-agonists, and ipratropium bromide) administered by nebulizer or meter doses inhaler (MDI) with a valved holding chamber, corticosteroids, and magnesium sulfate EV. This study aims to evaluate the effectiveness of a new device (SOBIstat-F ®) for bronchodilator administration via MDI compared to the conventional method. Methods: A randomized clinical trial was conducted in children with severe acute asthma seen in two pediatric emergency departments. Patients were assigned to one of the following groups: MDI-SOBx in which they received bronchodilators in MDI through the SOBIstat-F® device, or in MDI with oxygen via cannula or mask (MDI-OxStand). The main outcome was the need for hospitalization at the end of 8 hours of treatment. Results: 84 patients participated in the study, of which 43 were treated with the MDI-SOBx device and 41 with MDI-OxStand. There were no differences in demographic characteristics or severity of the exacerbations between the groups. Those children treated with MDI-SOBx had a lower hospitalization rate versus those with the MDI-OxStand (9.3% vs. 26.8%, respectively, p=0.036). Also, a significant clinical improvement (pulmonary score) was observed from 90 minutes (p<0.001) and oxygen saturation from 60 min (p<0.001) in children in the MDI-SOBx group. Side effects were similar. Conclusions: The administration of bronchodilators using the SOBIstat-F ® device demonstrated, for the first time, to be more effective than the conventional method in reducing hospitalizations and in the clinical improvement of children with severe asthma exacerbations.

Robotic Process Automation (RPA) is an innovative technology that stands out in the current era of digital transformation. It has the potential to automate financial calculations and improve audit reliability for the accounting and financial industries. RPA ”Bots” are excellent at doing complex jobs quickly, especially when paired with AI and machine learning tools. The new lease accounting standard IFRS 16 has brought about significant changes, but many businesses struggle with implementation. This study contributes to academic knowledge by experimentally analyzing the effects of RPA on lease accounting under IFRS 16, providing concrete recommendations for using RPA in the banking industry. Innovative technology known as robotic process automation (RPA) has transformed the finance sector. RPA uses highly developed software robots to automate complicated and repetitive operations previously completed by humans. This technology has the ability to completely change how many industries perform business. Improved accuracy, dependability, and significant cost reductions are all provided by RPA. It can change how firms run; it does more than just automated operations. This section will examine the fundamental elements, benefits, and several financial applications of RPA. It will also discuss its impact on the sector and its significance in leasing calculations, a crucial financial process.

Killer whales (Orcinus orca) have been documented to prey on white sharks (Carcharodon carcharias), in some cases causing localised shark displacement and triggering ecological cascades. Notably, a series of such predation events have been reported from South Africa over the last decade, with killer whales specifically targeting shark’s liver. However, observations of these interactions are rare and knowledge of their frequency across the world’s oceans remain limited. In October 2023, a 4.7 m (total length) white shark carcass washed ashore in south-eastern Australia, coinciding with reports from citizen scientists of killer whales hunting a large, unidentified prey item in the area. Visual inspection of the carcass revealed that the liver, digestive and reproductive organs were missing, and the presence of four distinctive bite wounds, one of which was characteristic of killer whale liver extraction as seen in South Africa. Genomic analyses performed on swabs taken from the bite wounds confirmed the presence of killer whale DNA in the major bite area, while the other bites were embedded with genetic material from the scavenging broadnose sevengill shark (Notorynchus cepedianus). These results provide confirmed evidence of killer whale predation on white sharks in Australia, and the likely selective consumption of the liver, suggesting predations of this nature are more globally prevalent than currently assumed.

In this letter, the posterior Cram\’{e}r-Rao lower bounds (PCRLB) for three-dimensional (3D) star-convex shaped extended target tracking (3D-ETT) is proposed to quantify the accuracy of the extended target state estimation within the Gaussian process (GP) framework.In view of the complex interdependence between the 3D target pose and the extent description, the PCRLB recursion of translation, rotation and extent states is derived.The resulting PCRLB are compared on simulation with the performance of the ETT algorithms using the GP for extent estimation.

This research focuses on fabricating a nylon honeycomb structured 3D filter for grey wastewater treatment using analytical fused filament fabrication (AFF) and evaluating its water treatment performance. The honeycomb module offered a tortuous pathway for particulate deposition during dead-end and depth filtration. A TiO2 nanoparticle coating was applied to the filter surface via spin coating to enhance clogging effects. A preliminary simulation setup was also incorporated as an initial study of model complexity through iterations analysis. SEM analysis visualized particulate accumulation within the 3D honeycomb pores and layered fibrous structure. FTIR confirmed uniform TiO2 nanoparticle deposition, the filter was also subjected to EDX analysis, which showed a valid change in compounds on the surface of the honeycomb membrane for both depth and dead-end techniques. Water quality parameters (BOD, COD, UV-Vis) and treatment efficiency were evaluated. The results of the UV-vis investigation demonstrated the filter’s ability to marginally remove contaminants from grey wastewater in the dead-end and depth filtrate water compared to initial greywater, confirmed by BOD and COD results. TiO2 nanoparticles promoted faster clogging kinetics. However, filtration efficiency was decently improved and further optimization is the new field of research.

TitleAn Often Missed Cause of Chronic Pancreatitis: A Case Report on the Rare Presentation of Primary Hyperparathyroidism

TITLE:

Short Root Anomaly. A rare case of distortion in dental anatomy

Tubridge flow diverter for the treatment of pseudoaneurysm ruptured M2 segment of the middle cerebral artery: A case reportFangdi Xua, Hui Lib, Fuyang Wanga, Pengjie Zhanga, Jian Lic, Yuhai Liud, Yang Chend, Jing CaidaLinyi People’s Hospital, Shandong Second Medical University, Weifang, 261053, ChinabDepartment of Neurosurgery, Feixian People’s Hospital, Linyi, 273400, ChinacSchool of Clinical Medicine, Shandong First Medical University, Jinan, 250117, ChinadDepartment of Neurosurgery, Linyi People’s Hospital, Linyi, 276003, ChinaCorrespondence: Jing Cai, Department of Neurosurgery, Linyi People’s Hospital, Linyi, 276003, ChinaEmial: cj701229@126.com

： Nitrogen is critical for terrestrial ecosystems and productivity. However, the dynamics and drivers of nitrogen fractions in different years of vegetation restoration in karst areas remain to be elucidated. Thus, this investigation assessed the effectiveness of vegetation restoration over additional years on reactive nitrogen fractions, mineral-bound nitrogen, recombinant organic nitrogen, nitrogen storage and soil physicochemical indicators. The study’s results demonstrated that vegetation restoration could enhance the content of soil N fractions inside karst regions to a certain extent. In the vertical soil profile, total soil nitrogen and its component content in all years of restoration generally decreased with the increase of soil layer, and there was a Presence of surface aggregation. The annual increases in total nitrogen, microbial nitrogen, dissolved organic nitrogen and nitrogen storage were: shrub > grassland > orchard, and the yearly increases in particulate organic nitrogen, light group organic nitrogen, and recombinant organic nitrogen were: shrub > orchard > grassland. The N reserves of parks, shrubs and orchards were 1.22, 1.32 and 1.31 times higher than those of arable land. The redundancy analysis and interpretation rate of soil physicochemical indices showed that AN, AP, AK and SOC were the dominant factors controlling the distribution of soil nutrient fractions under vegetation restoration on karst sites. Soil N fractions and N storage varied with the period of vegetation restoration, and different vegetation restoration methods could improve the content of total and N fractions in karst areas to some extent. Shrub restoration favoured the accumulation of total nitrogen. Vegetation restoration promoted nitrogen fractions and storage, providing a theoretical underpinning for ecological rehabilitation and soil quality management in karst areas.

Ecological restoration in arid coal mining regions of western China faces challenges from severe water scarcity and high soil salinity. This study investigates the combined effects of soil layer reconstruction and microbial remediation on soil water retention and salinity management to promote plant growth. Using an indoor simulated soil column test, we employed a model with ecological, culvert, and waterproof layers, introducing interlayers of 0 cm, 4 cm, 7 cm, and 10 cm thickness between the culvert and ecological layers. We tested three conditions for each interlayer thickness: bare soil (CK), alfalfa growth (AL), and alfalfa with arbuscular mycorrhizal fungi (AMF). Results showed that interlayer thickness significantly (p<0.05) influenced soil water and salt distribution. The SWC in the ecological layer decreased by 12% and 16% under the 7 cm and 10 cm treatments but increased by 4% with a 4 cm interlayer. Surface soil salt accumulation was reduced by 40% with interlayer treatments. AMF inoculation enhanced alfalfa root development, increasing underground biomass by 2.1 times and boosting water content by 10.5% and salt content by 15.8% in the absence of an interlayer. The AMF + 4 cm and 7 cm interlayer treatments reduced surface soil salinity by 47% and 41%, respectively, and increased water use efficiency by 42% and 56%, respectively, with aboveground biomass increasing by 96% and 70%. These findings provide a foundation for the ecological restoration of mining dumps in arid regions.

The respiratory conditions Chronic Obstructive Pulmonary Disease (COPD) and Asthma result in significant reductions in life quality for millions worldwide and cost patients thousands of dollars per year in treatment and indirect costs. These conditions are currently inadequately treated in a chronic disease model which aims to reduce symptoms but does not heal underlying issues. This review presents a comprehensive guide to nutraceutical, herbal and lifestyle interventions which are capable at addressing respiratory diseases with minimal associated costs. Decreasing reliance on the official medical system can reduce costs and improve access for many people. This review establishes non-pharmaceutical interventions for COPD and asthma and estimates putative cost savings from following a more integrative approach.