bluuebunny/crossref_metadata_2025_split huggingface dataset:
Disturbance pre-exposure of key species improves resilience of entire communities and metacommunities
Authors: Cairns Johannes , Hogle Shane , Alitupa Elizaveta , Mustonen Ville , Hiltunen Teppo 
Published: January 2024

Abstract

Understanding when communities are resilient, that is, able to resist and recover from change when facing disturbances, is critical for solving key global challenges. These include the effects of medication on the gut microbiota and global warming on biodiversity. There is still scant evidence from controlled experiments on factors affecting resilience. Among those hypothesized to affect community response are prior disturbance exposure, priming communities to cope with future disturbance, and species flow between disturbed and undisturbed patches in a metacommunity. The rate of species flow may also be important for whether connectivity protects from or spreads the disturbance effect across a metacommunity. Here we set up an in vitro system to test these questions, manipulating the pre-exposure history of a 23-species model bacterial community and serially passaging each community type in three patches exposed to no, low or high disturbance level (antibiotic concentration) at no, low or high rate of community mixing (connectivity). As expected, pre-exposure, causing evolution of resistance traits, protected species from change in abundance. The more abundant the pre-exposed species had been in the undisturbed community, the less the entire community changed, with protective effects on other species potentially contributing to this effect. In the absence of pre-exposure, increasing rates of community mixing caused an increasing spread of the disturbance across the metacommunity. By protecting communities from the disturbance, pre-exposure cancelled this effect of community mixing rate, keeping the metacommunity close to the undisturbed state. Our findings demonstrate that pre-exposure is an important modifier of ecological resilience in a metacommunity setting.
Designing a double deep reinforcement learning selection tool for resilient demand prediction
Authors: Benziane Bilel Abderrahmane , Lardeux Benoit , Jr Maher , Mcharek Ayoub 
Published: January 2024

Abstract
Supply chain optimization has attracted many scientific studies for decades. This topic continues to evolve due to the increasing worldwide commercial interactions and the recent progress of artificial intelligence. Artificial intelligence models have emerged as competitive forecasting methods for several years and consumer demands of goods remain a hot topic in supply chain optimisation. However, the process of selecting an appropriate forecasting solution becomes a daunting task, particularly for non-experts because they exhibit a strong dependency on databases. Even specialists face potential errors, considering that each model aligns better with a specific set of problems. This complexity arises due to the distinctive features inherent in each dataset, such as high seasonality, substantial bias, noise, volatility, intermittence, and more. This research endeavors to construct a double deep reinforcement learning model, enabling the automatic selection of a forecasting model from the forecasting committee at the time of prediction. The set of forecasting methods available to be selected in this research holds various neural network based forecasting approaches which have been proven to perform well each one in different dataset configurations; such as feed forward neural networks, recurrent neural networks, convolutional neural networks, boosting ensemble neural networks and stacking ensemble neural networks. To assess the model's performance, an empirical study is conducted using two distinct datasets selected for their diversity in order to ensure robustness to variations of the overall solution approach. The results of experiments demonstrate the resilience of the proposed approach when compared to the state-of-the-art methods.
Pexider invariance equation for embeddable mean-type mappings
Authors: Pasteczka Paweł 
Published: January 2024

Abstract

We prove that whenever $M_1,\dots,M_n\colon I^k \to I$, ($n,k \in \mathbb{N}$) are symmetric, continuous means on the interval $I$ and
$S_1,\dots,S_m\colon I^k \to I$ ($m
Cerebral Haemodynamics and Intracranial Pressure during Haemorrhagic Shock and Resuscitation with Total Endovascular Balloon Occlusion of the Aorta in an Animal Model
Authors: Bader Sam Er , Brorsson Camilla , Lofgren Niklas , Lofgren Filip , Blind PerJonas , Sundström Nina , Öman Mikalel , Olivecrona Magnus 
Published: January 2024

Abstract

Purpose
To assess changes of cerebral haemodynamic and intracranial pressure (ICP) in animals, with or without elevated ICP, during controlled haemorrhagic shock and resuscitation with Total REBOA (tREBOA).
Method
In 22 anesthetized and normoventilated pigs, after placement of catheters for monitoring invasive proximal blood pressure (pMAP), ICP, and vital parameters, and 60 minutes stabilization phase, a controlled haemorrhagic shock (HS), was conducted. In 11 pigs (EICPG), an elevated ICP of 25–30 mmHg at the end HS was achieved by simulating an epidural mass. In 11 pigs (NICPG), the ICP was normal. tREBOA was then applied for 120 minutes. The changes of pMAP and ICP was followed and cerebral perfusion pressure (CPP) calculated. The integrity of the autoregulation was estimated using a calculated modified PRx index.
Results
After stabilization, hemodynamics and physiological parameters were similar and normal in both groups. At the end of the HS, ICP was 16 mmHg in NICPG vs 32 in EICPG (p = 0.0010). CPP was 30 mmHg in NICPG vs 6 mmHg in EICPG (p = 0.0254). After aorta occlusion CPP increased immediately in both groups reaching after 15 minutes up to104 mmHg in NICPG vs 126 mmHg in EICPG. Cerebrovascular reactivity seems to be altered during bleeding and occlusion phases in both groups with positive PRx. The alteration was more pronounced in EICPG, but reversible in both groups.
Conclusion
tREBOA is lifesaving by restoration the cerebral circulation defined as CPP in animals with HS with normal or elevated ICP. Despite the observation of short episodes of cerebral autoregulation impairment during the occlusion, mainly in EICPG, tREBOA seems to be an effective tool for improving cerebral perfusion in HS that extends the crucial early window sometimes known as the “golden hour” for resuscitation even after a traumatic brain injury.
Complete mitogenome analysis of Fasciola gigantica from Sudan
Authors: Salim Bashir , Mohamed Nouh S. , Ibrahim Kamal , Alasmari Saeed , Chatanga Elisha , Ohari Yuma , Nonaka Nariaki , Almathen Faisal , Nakao Ryo 
Published: January 2024

Abstract
Complete mitochondrial (mt) genomes are increasingly being used as molecular markers for investigating phylogenetic relationships. We sequenced the complete mt genome of the Fasciola gigantica of 16 samples from cattle, sheep and goats from Sudan using Illumina MiSeq platform. The complete mt genome of F. gigantica was 14,483 bp in length. Its genome is circular, and consists of 36 genes, including 12 protein-coding genes, 2 subunit ribosomal RNA genes (rRNA), and 22 genes for tRNA. The start and stop codons of the12 protein-coding genes are ATG and TAG respectively, which are identical to reference mt genomes except for the ND5 the start codon GTG and the stop codon of the ND4 which was TAA. Additionally, the lengths of the the12 protein-coding genes were identical in 10 genes, however, the ND4L of the reference was 12 bp longer with 273 bp as compared to the Sudan isolates which was 261 bp long and COX1 in the reference was 9 bp shorter which was 1,533 bp long as compared to Sudan isolates which 1,542 bp long. In contrast, the non-coding regions differed by 20 bp and 4 bp length in the long and the short non-coding regions of Sudan isolates. Nucleotide variability in the mt genome among F. gigantica from Sudan is quite different from the reference as revealed by the sliding window analysis. Phylogenetic analysis of the concatenated amino acid sequence data for all 12 protein-coding genes showed that all F. gigantica from Sudan clustered separately from the available F. gigantica. More interestingly, based on stem-loop (non-coding regions) it revealed better resolution on how the evolutionary process has affected host specificity and in particular for the sheep and goats. It is concluded that these novel complete mt genomes of F. gigantica from different host species provide additional genetic markers for studying epidemiology, population genetics, and phylogeographics of F. gigantica, as well as for understanding interplay and the host species.
No drains versus drains after perforated Peptic Ulcer Repair: aRandomized Controlled Trail
Authors: nageeb Mohammed Elshwadfy , tobar Wael , saqr Ahmed , ragab Amr aly , salah Ahmed mohammed 
Published: January 2024

Abstract
Purpose: the study aimed to evaluate safety of omitting the intraabdominal drains after perforated peptic ulcer repairs.
Materials and methods
We conducted a prospective, randomized, controlled trial from January 2022 to January 2024 at the Emergency surgery department. Patients with perforated peptic ulcers were evaluated for eligibility.
They were randomly assigned into two groups. In group A: two intraabdominal drains (pelvic and hepatorenal). in group B: no intraabdominal drains. The primary outcome was hospital length of stay (LOS), and the secondary outcomes included parameters of recovery and 30-day morbidities. The data were analyzed using SPSS 16 ®.
The Results
Thirty five patients were in the no drain group, while 36 patients were in the drain group. Patients in the no drains group had significantly earlier bowel motion (21.6 vs 28.69; p = 0.004), fluid diet (73.54 vs 86.78; p 0.001), and solid intake (84.4 vs. 98; p 0.001), less pain severity (p=0.0001) and shorter hospital stay (4.74 vs 5.75 days; p 0.001(
A significant less morbidity, including surgical site infection (p = 0.01), and respiratory complications (p 0.0001), were in the no drain group.
There was no difference of fever duration nor wound dehiscence.
Conclusions
Omitting the intraabdominal drains is safe after peptic ulcer perforation repair. It can improve outcomes.
The study was registered at ClinicalTrials.gov Identifier: NCT06084741.
Application of Spectral Imaging Technology Based on Computer Simulation in the Prevention of Sports Injuries in Aerobics
Authors: Li Lin , Wei Yuan , Xiang Shuizhen 
Published: January 2024

Abstract

Calisthenics is a widely popular and high-intensity exercise, but the frequency of sports injuries has increased accordingly. Therefore, this paper explores the application potential of spectral imaging technology based on sports biomechanics in the early warning system of aerobics sports injury to provide opportunities for early injury recognition and intervention. The biomechanical data and spectral imaging data of aerobics athletes during their training were collected through experimental research. Changes in specific joint angles and muscle strength of athletes during exercise were observed to exhibit features associated with injury. Spectral imaging techniques can provide accurate measurements of biological signals such as skin surface temperature and blood flow, further revealing the underlying mechanisms of sports injuries. Therefore, the spectral imaging technology based on sports biomechanics has the potential to be applied to the early warning system of sports injury in aerobics. It enables early identification of potential injury risks and interventions to protect athlete health and safety by monitoring joint Angle changes and muscle strength in athletes, combined with quantitative analysis of spectral imaging data.
Application of Light Remote Sensing Technology Based on Transfer Learning Algorithm in Sustainable Management of Ecological Economy
Authors: Cao Jingzhi , Wu Haiquan , Zou Yuyou 
Published: January 2024

Abstract

With the widespread application of optical remote sensing technology in resource and environmental management, researchers have begun to focus on applying it to sustainable ecological and economic management. Research focuses on using transfer learning algorithms to transfer optical remote sensing models to the field of ecological and economic management, in order to achieve efficient and accurate extraction of ecological information and resource management. We chose the optical remote sensing model as the initial model, used transfer learning methods, retained the underlying feature extractor of the initial model, and applied it to ecological and economic data to further optimize the model to adapt to the characteristics and needs of ecological and economic data. By conducting supervised training on the ecological economic dataset, adjusting the weights and parameters of the model to better adapt to the distribution and characteristics of ecological economic data. In the adjusted and optimized optical remote sensing model, utilize its powerful ecological information extraction and resource management capabilities to address key issues in sustainable ecological and economic management. The results indicate that after optimization by transfer learning algorithms, optical remote sensing technology can more accurately extract ecological information, effectively manage resources, and promote sustainable development of ecological economy.
Real-time Hybrid Facial Expression Analysis Model Using Quantum Distance-based Classifier and Classical Artificial Neural Networks : QUADCANN
Authors: Rengasamy Karthikeyan , Joshi Piyush , VVS Raveendra 
Published: January 2024

Abstract

Facial expressions bring human interactions to life with nonverbal cues that convey hues of emotions, feelings, and cultural intent. Analyzing these expressions is essential in the age of digital transformation. Traditional approaches to real-time facial expression analysis have limitations in capturing the complexity of these expressions and consume enormous computational power. The promising computing capacity of quantum computers is poised to solve current problems and set new standards by meeting growing demands. We have created a hybrid model that leverages the capabilities of the classical and quantum domains. The proposed model uses a quantum distance-based classifier along with classical artificial neural networks to perform real-time facial expression analysis and classification. Based on a thorough review of the literature, this novel and comprehensive work is, to the best of our knowledge, one of the few that addresses eight different emotions in the quantum domain. The implementation of a novel quantum error correction method has improved the accuracy of this hybrid model. Our model was trained on the CK+ facial expression database. To ensure fairness of the study, we tested our model on the largest facial expression database, AffectNet-8, and compared the performance with state-of-the-art models. Our model accuracy is 10.83% higher than that of the state-of-the-art models. From a holistic perspective, our proposed novel hybrid model appears to have universal value for all kinds of real-time image analysis and classification problems. As we move forward, we planned to focus on quantum neural networks for image processing and facial expression analysis.
Global analysis for a modified SEIR model with general non-linear incidence function
Authors: Mohamed Yahya , Ahmedou Aziza , Vall Mohamed Saad Bouh Elemine 
Published: January 2024

Abstract

This study introduces a segmented mathematical model, crafted for dissecting the spread mechanisms of a specific disease. It refines the classic SEIR framework by bifurcating the infected segment (I) into two subcate-gories: the uneducated infected (Iu) and the educated infected (Ie). Central to this model is a complex infection rate function, delineated as f(S) (g(Iu) + h(Ie)). Critical to our analysis are certain presumptions regarding the functions f, g, and h. By utilizing the next generation matrix technique, we successfully derived the fundamental reproduction rate, denoted as R0. The research confirms the existence of two vital states of equilibrium within the model: one signifying the absence of disease and the other, its persistent presence. The global asymptotic stability of these equilibriums is validated using Lyapunov’s direct method coupled with LaSalle’s invariance principle. To reinforce our theoretical findings, we executed a series of numerical simulations, applying specific variations of the functions f, g, and h.
AMS Mathematics Subject Classification : 92D25, 34D08, 34D23, 03H05.
On developing structural and technical solutions to ensure the vibratory displacement of the working medium
Authors: Bolshakov R. S. , Kargapoltsev S. K. 
Published: January 2024

A research study into using vibration technologies for the transport of granular working medium was carried out. A vibration testing machine, whose calculation model includes a mechanical vibration system having two degrees of freedom with a rigid body on elastic supports, was selected as an object of research. The study involved analysing the variation in the system vibrations by using the structural theory for vibration isolation systems, where a dynamic equivalent represented by a structural diagram of an automatic control system is compared to the initial calculation model. The structural diagram of the system is based on the motion equations in operator form obtained using Lagrange differential equations of the second kind. The Laplace transform was used to transform the initial data for the system of differential motion equations. The paper addresses the characteristics of a new structural and technical solution in the field of vibratory displacement of a granular working medium using the working body of a vibration technological machine, which involves introducing a number of additional weights, levers, springs, and hinges. Here, springs comprise generalised structures containing both elastic elements and vibration dampers. To connect the coordinates of the endpoints in the working body of the vibration technological machine, analytical relations were obtained. It was established that varying the parameters of the elements within the elastic-lever blocks allows the dynamic state of the vibration technological machine to be controlled. In addition, it was shown that the obtained structural diagram helps to derive mathematical expressions for transfer functions, comprising the ratio between the motion coordinates of a technical object and an external force disturbance. On the basis of these expressions, the transfer function for the ratio of the motion coordinates of the vibration technological machine was formulated. A mathematical model of a vibration technological machine was obtained in the form of a transfer function, including a large number of additional elastic and massinertial elements, where the parameters of vibration displacement can be adjusted automatically. The research results will allow the existing technical solutions in the field of technological engineering to be modernised.
Adsorption of phosphate ions and RBBR dye from aqueous solution using thermally activated mandarin peel waste
Authors: Özdemir Nihan Canan , Bilici Zeynep , Saleh Mohammed , Dizge Nadir 
Published: January 2024

Abstract

In this study, the use of mandarin peels as an absorbent for phosphate and Remazol Brilliant Blue-R (RBBR) removals was investigated. The impact of variations in activation temperature, pH levels, and adsorbent dosage on the removal of phosphate and RBBR was examined and optimized. For phosphate and RBBR removal, 900°C thermally activated mandarin peels were selected. The optimal parameters for phosphate removal were found to be at the initial pH of 5.9, an adsorbent dose of 0.75 g/L, and a contact time of 60 min, which achieved a phosphate removal efficiency of 100%. The maximum RBBR removal conditions were obtained at the original pH (5.35), 1.75 g/L absorbent dose, and 60 min contact time. The RBBR removal efficiency was found to be 95% under these conditions. These data show that mandarin peel waste can be used efficiently as an adsorbent in the absorption process.
Design and development of a pilot plant for the treatment of pharmaceutical wastewater containing molasses
Authors: Penmetsa Suresh Raju , Allam Bharat Kumar , Pise Deepak , Gautam Pavan Kumar , Banerjee Sushmita , Kumar Vijay 
Published: January 2024

Abstract

The present work deals with the anaerobic treatment of molasses-bearing pharmaceutical wastewater using a specifically designed downflow anaerobic bioreactor (DFAB). The capacity of the designed DFAB was 1,000 L of adequate volume with necessary operational controls. Two types of anaerobic treatment, i.e. mesophilic and thermophilic treatments, were applied to the anaerobic biotransformation of wastewater under investigation. The efficiency of both treatments was compared in terms of reducing biochemical oxygen demand (BOD) and chemical oxygen demand (COD) load, as well as methane production. The anaerobic digestion process was carried out with the help of bacterial strains. The bacterial strains used in the mesophilic operation were acclimatised and utilised for the thermophilic treatment, which is a cost-effective and sustainable approach. A significant reduction in BOD and COD content of the wastewater was noticed after 10 days of retention time. Nearly 72–83% and 80–90% reduction in BOD values were recorded under mesophilic and thermophilic operations, respectively. Approximately 73–86% and 82–93% of COD content were reduced by mesophilic and thermophilic treatment, correspondingly. Methane production of 67 and 74% was achieved under mesophilic and thermophilic treatment, respectively. The designed DFAB showed remarkable treatment efficiency for wastewater and methane production.
Molecular detection of Human Adenovirus and Human Bocavirus in wastewater and drain water in the western Nile Delta of Egypt
Authors: Badr Kareem R. , Elmahdy Elmahdy M. , Shaheen Mohamed N. F. 
Published: January 2024

Abstract

HAdV and HBoV are frequently found in different water sources throughout the year. Due to their health impact on humans, continuous monitoring of these viruses is considered an important tool to evaluate their circulation within society. This study investigates the prevalence of HAdV and HBoV in different environmental samples collected from the western Nile Delta of Egypt. In total, 264 samples were collected from treated and untreated sewage (48), sewage sludge (24), drainage water (96), and drainage sediment (96) from December 2019 to November 2021. Molecular detection was performed to detect both viruses in the collected samples. The results indicated that HAdV was more prevalent than HBoV in all types of sewage samples, with the highest detection rate in untreated sewage. Both viruses were relatively lower in sludge sewage samples, while in drainage water and sediment samples were detected with similar frequencies, although the detection rates were generally lower than those observed in sewage samples. Moreover, no significant seasonal distribution of both viruses was observed throughout the year. The results of this study emphasize the importance of monitoring the presence of these viruses in environmental samples with proper treatment and disposal of sewage to ensure public health and safety.