bluuebunny/crossref_metadata_2025 huggingface dataset:
A Method for Optimizing Production Layers Regroup Based on Genetic Algorithm
Authors: Cui Lining , Zhang Jiqun , He Dehai , Pu Longchuan , Peng Boyang , Ping Xiaolin
Published: August 2024

As waterflooding multi-layer reservoirs get into the high-water-cut stage, inter-layer conflicts become increasingly serious, leading to a worsening development effect over time. Production layers regroup is an effective approach for resolving inter-layer conflicts and improving waterflooding efficiency. At the current stage, there are limitations for most of the methods of production layers regroup. This article proposes a smart method for optimizing the layer regroup plan based on genetic algorithm. Comprehensively considering various factors that affect the regroup of layers, based on the combination principle of "smaller intra-group variance and larger inter-group variance of each influencing factor are expected ", genetic algorithm is used to calculate the fitness value of the initial combination schemes, the advantageous schemes with higher fitness values are selected as the basis of the next generation. Then crossover and mutation operations are performed to those advantageous schemes to generate new schemes. Through continuous selection and evolution, until the global optimal solution with the highest fitness value is found, the optimal combination scheme is determined. Comparative analysis with numerical simulation results demonstrates the reliability of this intelligent method, with an increased oil recovery of 4.34% for the sample reservoir. Unlike selecting a preferable plan from a limited number of predefined combination schemes, this method is an automatic optimization to solve the optimal solution of the problem. It improves both efficiency and accuracy as compared to conventional reservoir engineering methods, numerical simulation methods and most of the mathematical methods, thus could provide effective guidance for EOR strategies of waterflooding reservoirs in high-water-cut stage.
Histropy: A Computer Program for Quantifications of Histograms of 2D Gray-Scale Images
Authors: Menon Sagarika , Moeck Peter
Published: August 2024

The computer program "Histropy" is an interactive Python program for the quantification of selected features of two-dimensional (2D) images/patterns (in either JPG/JPEG, PNG, GIF, BMP, or baseline TIF/TIFF formats) by means of calculations based on the pixel intensities in this data, their histograms, and user-selected sections of those histograms. The histograms of these images display pixel-intensity values along the x-axis (of a 2D Cartesian plot), with the frequency of each intensity value within the image represented along the y-axis. The images need to be of 8-bit or 16-bit information depth and can be of arbitrary size. (Up to 1024 pixels maximum on both sides is recommended as larger images tend to significantly slow the program’s performance). Histropy generates an image’s histogram surrounded by a graphical user interface that allows one to select any range of image-pixel intensity levels, i.e. sections along the histograms’ x-axis, using either the computer mouse or numerical text entries. The program subsequently calculates the (so-called Monkey Model) Shannon entropy and root-mean-square contrast for the selected section and displays them as part of what we call a "histogram-workspace-plot." To support the visual identification of small peaks in the histograms, the user can switch between a linear and log-base-10 display scale for the y-axis of the histograms. Pixel intensity data from different images can be overlaid onto the same histogram-workspace-plot for visual comparisons. The visual outputs of the program can be saved as histogram-workspace-plots in the PNG format for future usage. The source code of the program and a brief user manual are published in the supporting materials as well as on GitHub . Instead of taking only 2D images as inputs, the program’s functionality could be extended by a few lines of code to other potential uses employing data tables with one or two dimensions in the CSV format.
Endometrial Preparation Useful to Embryo Implantation
Authors: Bulletti Francesco Maria , Guido Maurizio , Palagiano Antonio , Coccia Maria Elisabetta , Bianchi Veronica , Sciorio Romualdo , Bulletti Carlo
Published: August 2024

Endometrial preparation is crucial in in vitro fertilization (IVF) protocols to create optimal conditions for embryo implantation and pregnancy. Successful embryo nidation requires a receptive endometrium, which is influenced by factors such as endometrial thickness, hormonal environment, autocrine and paracrine growth factors, and the presence of resident and non-resident stem cells within the endometrium basalis. Synchronization between endometrial and embryonic development is also essential. Endometrial preparation, whether achieved through spontaneous cycles, natural cycles with minimal support, ovulation induction, or hormone replacement therapy (HRT), results from a combination of biochemical and biophysical conditions, each independent of the others. These conditions are difficult to pinpoint within a fixed period (Window of Implantation, WOI) using any specific examination due to the variability in estrogen and progesterone production rates, their metabolic clearance rates (MCR) when administered exogenously, and their metabolism when given systemically, topically, or orally. These variations also occur in different phenotypes and over different durations. Moreover, the synchronization of endometrial preparation with incomplete decidualization and the uncertain duration of the implantation window pose challenges. It is also unknown if there are compliance mechanisms similar to diapause seen in other species. This review aims to outline a clinical approach that, while not an absolute clinical recommendation due to the lack of definitive certainties, assists in understanding complementary phenomena and provides a useful orientation for clinical practice.
Current State Of Monoclonal Antibody Therapy for Transthyretin Amyloidosis
Authors: Chakrabartty Avi
Published: August 2024

The disease of transthyretin (TTR) amyloidosis (ATTR) has been known since the 1960s, and during these past 60 or so years, there has been a sustained peri-od of steady discoveries that have led to the current model of ATTR pathogene-sis. More recent research has achieved major advances in both diagnostics and therapeutics for ATTR, which are having a significant impact on ATTR patients today. Aiding these recent achievements has been the remarkable ability of cryo-electron microscopy (EM) to determine high-resolution structures of amy-loid fibrils obtained from individual patients. Here, we will examine cryo-EM structures of transthyretin amyloid fibrils to explore the structural basis of re-cent monoclonal antibody therapies for ATTR, including ALXN-2220 and Co-ramitug; as well as to point out potential applications of this approach to other systemic amyloid diseases.
Fourier Features and Machine Learning for the Contour Profile Inspection in CNC Milling Parts: A Novel Intelligent Inspection Method (NIIM)
Authors: Méndez Manuel Meraz , Quintana Juan A. Ramírez , Jardón Elva lilia Reynoso , Nandayapa Manuel , Vergara Osslan Osiris
Published: August 2024

Form deviation generated during the milling profile process poses challenges to the precision and functionality of industrial fixtures and product manufacturing across various sectors. The inspection of contour profile quality often relies on commonly employed contact methods for measuring form deviation, but these methods frequently face limitations that can impact the reliability and overall accuracy of the inspection process. This paper introduces a novel approach, the novel intelligent inspection method (NIIM), developed to accurately inspect and categorize contour profiles in machined parts manufactured through the milling process by computer numerical control (CNC) machines. The NIIM integrates a calibration piece, a vision system (RAM−StarliteTM), and machine learning techniques to analyze the line profile and classify the quality of contour profile deformation generated during CNC milling. The calibration piece is specifically designed to identify form deviations in the contour profile during the milling process. The RAM−StarliteTM vision system captures contour profile images corresponding to curves, lines, and slopes. An algorithm generates a profile signature, extracting Fourier descriptor features from the contour profile to analyze form deviations when compared to an image reference. A feed-forward neural network is employed to classify contour profiles based on quality properties. Experimental evaluations involving 60 machined calibration pieces, resulting in 356 images for training and testing, demonstrate the accuracy and computational efficiency of the proposed NIIM for profile line tolerance inspection. Results demonstrate that the NIIM offers 96.99% accuracy, low computational requirements, 100% inspection capability, quality classification.
Temperature-dependent Population Model of Apple leafminer, Phyllonorycter ringoniella (Lepidoptera: Gracillariidae)
Authors: Geng Shubao , Chen Lei , Hou Heli , Qiao Li , Guo Shibao , Zhou Zhou , Tu Hongtao , Jung Chuleui
Published: August 2024

The Asiatic apple leafminer, Phyllonorycter ringoniella (Matsumura), is a significant secondary pest of apple trees in Northeast Asia. To better understand its population dynamics, a population model based on temperature-developmental relationships was constructed. This model includes three sub-models: spring emergence, immature stage transition, and adult oviposition. Field data were collected from sex-pheromone baited traps in apple orchards in Andong, Korea, dur-ing 2015 and 2016 to validate the model. Simulations under six pesticide-natural enemy scenari-os showed that the population size of each generation was best simulated when weighted mor-tality factors for pesticides and natural enemies were applied. Using daily temperature inputs, the model demonstrated that P. ringoniella typically undergoes five generations per year, with peak times predicted within a seven-day margin of field data. Sensitivity analyses revealed that population size was influenced by total fecundity and the larval stage model, but peak times remained consistent despite parameter changes. Higher temperatures led to earlier adult peak dates, especially in summer generations. This model serves as a fundamental tool for estimating population dynamics and abundance changes of P. ringoniella and can guide the timings of pesti-cide application. Further validation is necessary to test the model's efficacy in controlling pests in apple orchards.
Determining the Position and Role of Isfahan Chamber of Commerce, Industries, Mines and Agriculture in the Porter’s Diamond Model
Authors: Pournayebzadeh Sina , Ansari Manoucher , Ashrafi Hossein
Published: August 2024

Porter's diamond model was used because it is an index in the field of competitiveness and increasing the index of competition in the international arena. In order to measure actions in the field of commerce and marketing trends and its compliance with Porter's diamond model, an organization named Isfahan Chamber of Commerce, Industries, Mines and Agriculture was selected from among the existing non-governmental organizations in Iran. This non-governmental organization, having different departments has members and subgroups related and influential in the field of commerce and marketing. In order to answer the question raised in this research, that is, to determine the position of the Isfahan Chamber of Commerce, Industries, Mines and Agriculture in Porter's diamond model, by referring to this organization in person, the available documents, information and data available in a descriptive-survey manner. It was reviewed until October 2022. All key activities and works performed in this organization in the period from March 2019 to March 2022 were identified and separated according to the internal factors of Porter's Diamond model. Finally, the credibility and effectiveness of this non-governmental organization as a link between the private sector and the government was measured in the Porter's diamond model.
One Class of Ideally Secret Autonomous Symmetric Ciphering Systems Based on Wiretap Polar Codes
Authors: Milosavljević Milan , Radomirović Jelica , Unkašević Tomislav , Božilović Boško
Published: August 2024

This paper introduces a class of symmetric ciphering systems with a finite secret key, which provides ideal secrecy, autonomy in key generation and distribution, and robustness against the probabilistic structure of messages (Ideally Secret Autonomous Robust – ISAR system). The ISAR system is based on wiretap polar codes constructed over an artificial wiretap channel with a maximum secrecy capacity of 0.5. The system autonomously maintains a minimum level of key equivocation by continuously refreshing secret keys without needing additional key generation and distribution infrastructure. Thus, this class of systems generalizes Shannon's ideal and strongly ideal ciphering systems. Additionally, it can transform any stream ciphering system with a finite secret key of known length into an ISAR system without the necessity of knowing and/or changing its algorithm. Therefore, this class of system strongly supports privacy, a critical requirement for contemporary security systems. The ISAR system's reliance on wiretap polar coding for strong secrecy ensures resistance to passive attacks with known plaintext messages. Furthermore, resistance to passive attacks on generated keys follows directly from ideal secrecy and autonomy. The results presented offer an efficient methodology for synthesizing this class of systems with predetermined security margins and a complexity of the order of nlogn, where n is the block length of the applied polar code.
Beyond Brainstorming: Design Thinking as a Catalyst for Transformation
Authors: Moraga-Díaz Roberto , Laguna Fernandez Maria
Published: August 2024

In a constantly transforming retail financial sector, TCS has established a strategic alliance with Cencosud Scotiabank, expanding its role beyond consultancy to become an essential partner in the journey of growth and transformation. This collaboration reflects a shared commitment to advancing together in the competitive world of retail financial services, driving significant strategic change at Cencosud Scotiabank. As part of this effort, TCS has co-designed a series of practical workshops aimed at fostering and expanding the culture of innovation within the organization. These practical workshops are fundamental in the transformation process, providing deep and practical learning that serves as a solid foundation for the desired change. Each workshop session, carefully designed and executed according to an innovation playbook, aligns visual thinking tools with practical techniques to ensure smooth and effective execution of the work. The goal of these efforts is twofold: on the one hand, to strengthen the culture of innovation at Cencosud Scotiabank through collaboration; on the other, to firmly center the organization around the customer. The workshops are not just meetings; rather, they are collaborative spaces where creativity, deep user understanding, and agility converge to shape innovative solutions.
Maximizing Synergy: The Benefits of a Joint Implementation of Knowledge Management and Artificial Intelligence Systems Standards
Authors: Khazieva Natalia , Pauliková Alena , Chovanová Henrieta Hrablik
Published: August 2024

In response to the increasing importance of knowledge as a key competitive advantage, the role of knowledge management in value creation cannot be overstated. The International Standards Organization (ISO) has recognized this and announced a Management Standard for Knowledge Management Systems (KMS). This initiative is significant because, by viewing knowledge strategically, organizations are seeking ways to enhance their processes and align them to address their challenges. A synergistic effect can be achieved when another management system highly relevant to KMS is joined and later integrated. This new system is Artificial Intelligence Management (AIMS). The paper is structured as follows: Firstly, we explore knowledge and knowledge management (KM), along with the challenges companies face in implementing and operating KM. Next, we examine the ISO 30401:2018 standard as a guide for KM implementation. Finally, we discuss how ISO 30401:2018 and ISO/IEC 42001:2023 can help solve key organizational problems and support machine learning and knowledge extraction through AI. In conclusion, we summarize the key outcomes of the paper. The main purpose of the paper is to determine how these standards contribute to solving practical problems in the creation and development of a knowledge management system supported by artificial intelligence and to demonstrate their synergistic effect when used together.
Stress Analysis of GFRP Joints Bonded with Different Epoxy Adhesives and Fillers at Various Temperatures
Authors: Caglar Hasan , Idapalapati Sridhar , Sharma Mohit , Sin Chian Kerm
Published: August 2024

This study examines stress distributions in adhesive joints under various loading and temperature conditions. Finite element analysis (FEA) was employed to compute the peel and shear stresses at the adhesive interface and bondline midpoint. The analytical solutions proposed by Goland and Reissner were analyzed with modifications by Hart-Smith and Zhao. FEA revealed stress distributions at the adhesive/adherend interface and bondline midpoint. DP490 adhesive joints exhibited lower stresses than EA9696 due to a lower Young's modulus and the use of thicker adherends. Temperature variations significantly affected joint behavior, particularly above the adhesive’s glass transition temperature (Tg). Both EA9696 and DP490 adhesive joints displayed distinct responses to stress and temperature changes. The comparison between parabolic and biquadratic solutions for functionally graded adhesive (FGA) joints showed that the biquadratic solution consistently yielded higher shear and peel stress values, with an increase ranging from 15% to 71% compared to the parabolic solution at various temperatures. Comparing stress distributions between peel and shear stresses, emphasizing the importance of selecting adhesives based on stress type, temperature, and solution methods in optimizing adhesive bonding applications. These findings provide valuable insights for thermomechanical applications where thermal stimuli may be used for controlled debonding.
Commodity WiFi-Based Wireless Sensing Advancements over the Past 5 Years
Authors: Zhu Hai , Dong Enlai , Xu Mengmeng , Lv Hongxiang , Wu Fei
Published: August 2024

With the compelling popularity of integrated sensing and communication (ISAC), WiFi sensing has drawn increasing attention in recent years. Starting from 2010, WiFi CSI-based wireless sensing has enabled various exciting applications such as indoor localization, target imaging, activity recognition and vital sign monitoring. In this paper, we retrospect the up-to-date achievements of WiFi sensing using commodity-off-the-shelf (COTS) devices over the past 5 years in detail. Specifically, this paper first presents the background of CSI signal and related sensing models. Then, recent researches are categorized from two perspectives, namely according to their application scenario diversity and corresponding sensing methodology difference respectively. Next, this paper points out the challenges faced by WiFi sensing including domain dependency and sensing range limitation. Finally, three imperative research directions are highlighted, which are critical for realizing more ubiquitous and practical WiFi sensing in real-life applications.
Calculation of Some Low-Lying Electronic Excitations of Barium Monofluoride Using the Eom-CC3 Method with an Effective Core Potential Approach
Authors: Horbatsch Marko
Published: August 2024

Barium monofluoride (BaF) is a polar molecule of interest to measurements of the electron electric dipole moment [1, 2]. For this purpose efforts are under way to investigate this molecule embedded within cryogenic matrices, e.g., in solid Ne [3]. For a theoretical understanding of the electronic structure of such an embedded molecule the need arises for efficient methods which are accurate, but also can handle a number of atoms which surround the molecule. The calculation for gas-phase BaF can be reduced to involve only outer electrons by representing the inner core of Ba with a pseudopotential [4] while carrying out a non-relativistic calculation with an appropriate basis set [5]. In this work we demonstrate to which extent this can be achieved using coupled-cluster methods to deal with electron correlation. As a test case the SrF(X 2Σ+ → B 2Σ+) transition is investigated and excellent accuracy is obtained with the EOM-CC3 method. For the BaF(X 2Σ+ → A′ 2∆, X 2Σ+ → A 2Π, X 2Σ+ → B 2Σ+) transitions various coupled-cluster approaches are compared with very good agreement for EOM-CC3 with experimentally derived spectroscopic parameters except for the excitation to the A′ 2∆ state for which the excitation energy is overestimated by 200 cm−1.
Low Temperature Fabrication of BiFeO3 Films on Aluminum Foils under an N2-Rich Atmosphere
Authors: Yan Jing
Published: August 2024

To be CMOS-compatible, a low preparation temperature (< 500 °C) of ferroelectric films is required. In this study, BiFeO3 films were successfully fabricated at a low annealing temperature (< 450 °C) on aluminum foils by a metal-organic decomposition process. The annealing atmosphere on performance of BiFeO3 films was assessed at 440 ± 5℃. By replacing an O2-rich atmosphere with an N2-rich one, a better crystalline morphology was achieved in BiFeO3 films, resulting in better electric properties targeted for high-density ferroelectric random-access memory applications. These properties included a large remnant polarization (Pr~78.1 μC/cm2 @ 1165.2 kV/cm) and a high rectangularity (~91.3% @ 1165.2 kV/cm) of the P-E loop, along with excellent charge-retaining ability up to 1.0 × 103 s and a fatigue resistance reaching 1.0 × 109 switching cycles. The enhanced performance of BiFeO3 film in an N2-rich atmosphere maybe originated from the slightly high content of oxygen vacancies during the annealing process. Furthermore, decent electrical properties (Pr~70 μC/cm2 @ 1118.1 kV/cm) of the BiFeO3 films were achieved at a very low annealing temperature of 365 ±5 °C on aluminum foil substrates. These results offer a new idea for lowering the annealing temperature for integrated ferroelectrics in high-density FeRAM applications.
Cub Survival in a Wild Leopard (Panthera pardus fusca) Population
Authors: Yosef Reuven , Kumbhojkar Swapnil , Kosicki Jakub Z.
Published: August 2024

We investigated the cub’s survival in a wild Indian Leopard (Panthera pardus fusca) population in the Jhalana Forest Reserve, India. The research focuses on the survival analysis of leopard cubs during their first two years of life and determining the critical period of the reproductive cycle that influences survival. Survival functions were estimated using the Kaplan-Meier method using data collected with trail cameras over four years from 2018 to 2021. We found that the mean survival probability of cubs during the 2-year period they depend on their mother was 0.618, the first year – 0.739, and higher during the second year of life (0.831). The results also indicate that the first 12 months of a leopard cub's life are crucial for survival. These findings allow for understanding critical periods in the life history of individuals and are essential for effective conservation strategies in fragmented habitats.
Bridging Anesthesia and Sustainability: A Special Article for a Path Towards Eco-Conscious Practice
Authors: Cappellini Iacopo , Schirru Elena
Published: August 2024

Background: Escalating climate change concerns have prompted the healthcare sector, particularly anaesthesia, to reassess its practices to align with environmental sustainability. Anesthetic gases like desflurane, sevoflurane, and isoflurane significantly impact the environment due to their high Global Warming Potentials (GWPs) and prolonged atmospheric lifetimes. This manuscript investigates these impacts and advocates for strategies to reduce the carbon footprint of anesthetic care while maintaining patient safety. Methods: We reviewed the environmental impacts of anesthetic gases and explored various strategies for sustainable anaesthesia. These strategies include adopting anesthetics with lower GWPs, enhancing recycling and waste reduction techniques, transitioning to intravenous anaesthesia, and implementing low-flow anaesthesia methods. We also examined barriers to these strategies, such as educational gaps, technological challenges, resistance to change, and policy limitations. Results: Adopting anesthetics with lower GWPs, such as sevoflurane over desflurane, and implementing low-flow anaesthesia can significantly reduce greenhouse gas emissions. Recycling and waste reduction techniques, though challenging, offer additional environmental benefits. Transitioning to intravenous anaesthesia can eliminate the direct GWP contributions from volatile anesthetic gases. However, these strategies require comprehensive education, advocacy for research and innovation, strategic change management, and supportive policies. Conclusions: Continuous monitoring and evaluation are crucial to ensure the effectiveness of sustainable practices in anaesthesia. Establishing robust Key Performance Indicators (KPIs) and utilizing advanced analytical tools will enable the anaesthesia community to adapt and refine practices. Collaborative efforts among clinicians, policymakers, and stakeholders are essential to significantly reduce the environmental impact of anaesthesia and promote ecological responsibility within healthcare.
Subthreshold Cannabidiol Potentiates Levetiracetam in the Kainic Acid Model of Temporal Lobe Epilepsy
Authors: Lucchi Chiara , Marcucci Mattia , Aledresi Kawther Ameen Muhammed Saeed , Costa Anna-Maria , Cannazza Giuseppe , Biagini and Giuseppe
Published: August 2024

Refractoriness to antiseizure medications is still a major concern in the pharmacotherapy of epilepsy. For this reason, we decided to evaluate the combination of levetiracetam and cannabidiol, administered at a subthreshold dose, to limit the possible adverse effects of this phytocannabinoid. We administered levetiracetam (300 mg/kg/day, via osmotic minipumps), cannabidiol (120 mg/kg/day, injected once a day subcutaneously), or their combination for one week in epileptic rats. Saline-treated epileptic rats were the control group. Animals were monitored with video electroencephalography the week before and after the treatment. No changes were found in the controls. Levetiracetam did not significantly reduce the total seizure number or the overall seizure duration. Still, the overall number of seizures (p<0.001, Duncan’s new multiple range test) and their total duration (p<0.01) increased in the week following treatment withdrawal. Cannabidiol did not change seizures when administered as a single drug. Instead, levetiracetam combined with cannabidiol resulted in a significant reduction in the overall number and duration of seizures (p<0.05), when comparing values measured during treatment with both pre- and post-treatment values. These findings depended on changes in convulsive seizures, while non-convulsive seizures were stable. These results suggest cannabidiol determined a remarkable potentiation of levetiracetam antiseizure effects at a subthreshold dose.
Risk Stratification for Future Cardiac Arrest after COVID-19 Vaccination
Authors: McCullough Peter , Hulscher Nicolas
Published: August 2024

Unheralded cardiac arrest among previously healthy young people without antecedent illness, months or years after COVID-19 vaccination, highlights the urgent need for risk stratification. The most likely underlying pathophysiology is subclinical myopericarditis and reentrant ventricular tachycardia or spontaneous ventricular fibrillation that is commonly precipitated after a surge in catecholamines during exercise or the waking hours of terminal sleep. Small patches of inflammation and/or edema can be missed on cardiac imaging and autopsy, and the heart can appear grossly normal. This paper reviews evidence linking COVID-19 vaccines to cardiac arrest where unfortunately the majority of victims have had no antecedent clinical evaluation. We propose a comprehensive strategy for evaluating cardiovascular risk post-vaccination, incorporating detailed patient history, antibody testing, and cardiac diagnostics in the best attempt to detect abnormalities before sudden cardiac death. This approach aims to identify individuals at higher risk of cardiac events after COVID-19 vaccination and guide appropriate clinical management. It is prudent for each primary care physician to have a pre-established plan when addressing this issue in their practice.
Quantitative Proteomics Analysis of ABA and GA3 Treated Malbec Berries Reveals Insights into H2O2 Scavenging and Anthocyanin Dynamics
Authors: Murcia Germán , Alonso Rodrigo , Berli Federico , Arias Leonardo , Bianchimano Luciana , Pontin Mariela , Fontana Ariel , Casal Jorge José , Piccoli Patricia
Published: August 2024

Abscisic acid (ABA) and gibberellic acid (GA3) are regulators of fruit color and sugar levels, and the application of these hormones is a common practice in commercial vineyards dedicated to the production of table grapes. However, the effects of exogenous ABA and GA3 on wine cultivars remains unclear. We investigated the impact of ABA and GA3 applications on Malbec grapevine berries across three developmental stages. We found similar patterns of berry total anthocyanin accumulation, induced by both treatments, closely associated with berry H2O2 levels. Quantitative proteomics revealed that ABA and GA3 positively modulated antioxidant defense proteins, mitigating H2O2. Consequently, proteins involved in phenylpropanoid biosynthesis were downregulated, leading to decreased anthocyanin content at almost ripe stage, particularly petunidin-3-G and peonidin-3-G. Additionally, we noted increased levels of the non-anthocyanins E-viniferin and quercetin in the treated berries, which may enhance H2O2 scavenging at almost ripe stage. Using a linear mixed-effects model, we found statistical significance of the fixed effects berry H2O2 and sugar contents, demonstrating their roles in anthocyanin accumulation. In conclusion, our findings suggest a common molecular mechanism by which ABA and GA3 influence berry H2O2 content, ultimately impacting anthocyanin dynamics during ripening.
Populus trichocarpa EXPA6 Increases Salt Sensitivity by Facilitating Radial and Longitudinal Transport of Sodium Ions in Poplars
Authors: Liu Zhe , Yin Kexin , Zhang Ying , Yan Caixia , Zhao Ziyan , Li Jing , Liu Yi , Feng Bing , Zhao Rui , Liu Jian , Dong Kaiyue , Yao Jun , Zhao Nan , Zhou Xiaoyang , Chen Shaoliang
Published: August 2024

Expansins are cell wall (CW) proteins that mediate the CW loosening and regulate salt tolerance in a positive or negative way. The transcription of Populus trichocarpa expansin A6 (PtEXPA6) was downregulated upon prolonged duration of salt stress (48 h) after a transient increase induced by NaCl (100 mM). The role of PtEXPA6 in salt tolerance was determined by transferring the PtEXPA6 gene into the hybrid species Populus alba × P. tremula var. glandulosa clone 84K (84K) and Populus tremula × P. alba INRA '717-1B4' (717-1B4). The PtEXPA6-transgenic poplars of 84K and 717-1B4 showed a greater reduction in photosynthesis, stem height and diameter growth under salt stress and a reduced capacity for ROS scavenging by antioxidant enzymes, which is associated with excessive Na+ accumulation in roots and shoots. NMT flux recordings showed that the radial translocation of Na+ salt into the root xylem and real-time Na+ translocation from roots to leaves were greater in PtEXPA6-transgenic poplars than in wild-type poplars. Analysis of comparative contractility and comparative extensibility of intact root tips indicated that PtEXPA6 increased the CW loosening in the transgenic poplars of 84K and 717-1B4. Noteworthy, the PtEXPA6-promoted CW loosening was shown to facilitate radial and longitudinal transport of Na+ in transgenic poplars. We conclude that overexpression of PtEXPA6 leads to CW loosening that facilitates radial translocation of Na+ into the root xylem and subsequent Na+ translocation from roots to leaves, resulting in excessive Na+ accumulation and consequently reduced salt tolerance in transgenic poplars.
The State of the Art of Image Guided Superficial Radiation Therapy Treatment of Non-melanoma Skin Cancer in Outpatient Dermatology Clinics and Review of the Literature
Authors: Harris Peyton , Farberg Aaron , Hopkins Janine , Ma Liqiao , Serure Donna , Robbins Blake , Osborne Candace , Bravo Luis , Lausser Pauline , Boatner Amanda
Published: August 2024

Introduction Image Guided Superficial Radiation Therapy (IGSRT) is a novel technology which combines traditional superficial radiation therapy (SRT) with high resolution dermal ultrasound (HRDUS) to treat non-melanoma skin cancers (NMSC). Since development, IGSRT use has expanded dramatically in outpatient clinics. We review the IGSRT literature and state of the art operating principles in US dermatologic practices. Materials and Methods A literature search of electronic databases (Medline, Pubmed, Cochrane Library, Science Direct) combined with various authors’ published and unpublished documents, procedures and clinical experience with IGSRT were synthesized for this paper. Results Studies have demonstrated IGSRT consistently delivers high cure rates( >99%) with low complications for early stage (stage 0, I, or II) squamous cell and basal cell carcinomas. Control rates are statistically superior to non-image guided SRT and external beam radiation (XRT) as well as Mohs Micrographic Surgery(MMS). This improvement is attributed to in-vivo dermal tumor visualization via HRDUS and using an interdisciplinary approach to deliver care. IGSRT use in the dermatologic clinic for early stage NMSCs has become common practice and continues to expand. Conclusion While the safety and cosmetic benefits of SRT/XRT has been long documented, IGSRT represents a significant leap forward in efficacy (statistically significant) by adding in-vivo dermal tumor imaging. Results rival and appear on one study to surpass tumor control obtained with MMS. A contributing factor to the success may be the availability and use of an interdisciplinary team approach that includes dermatologists, radiation therapists, radiation oncologists and medical physicists. The high tumor control rates, minimal side effects, favorable cosmesis and ability to treat multiple lesions per session using IGSRT is establishing this modality as a standard first line therapy for early stage NMSCs in dermatology clinics. IGSRT may represent the most effective option for the non-surgical treatment of early stage NMSC to date.
Metabolite Profiling and Identification of Sweet/Bitter Taste Compounds in the Growth of Cyclocarya paliurus Leaves Using Multiplatform Metabolomics
Authors: Chen Liang , Lu Dai , Zou Yaqian , Zhang Ruiyi , Zhou Tao , Long Bin , Zhu Kangming , Wang Wei , Tian Xing
Published: August 2024

Cyclocarya paliurus tea, also known as "sweet tea", a health substitute tea with Cyclocarya paliurus leaves as raw material, is famous for its unique nutritional benefits and flavor. However, due to the unique "bittersweet" of Cyclocarya paliurus tea, it is still unable to fully satisfy consumers' high-quality taste experience and oral pleasure. The taste and sensory quality of Cyclocarya paliurus tea are mainly determined by secondary metabolites. Therefore, this study aimed to explore the metabolites in Cyclocarya paliurus leaves during their growth process, particularly the composition and variation of sweet and bitter taste compounds, by combining multi-platform metabolomics analysis with an electronic tongue system and molecular docking simulation technology. The results indicated that there were significant differences in the contents of total phenols, flavonoids, polysaccharides and saponins of C. paliurus leaves in different growing months, among which the bioactive components in leaves harvested in July were the highest, and the best balance between sweetness and bitterness was achieved. A total of 575 secondary metabolites were identified as potential active metabolites related to sweet/bitter taste using nontargeted metabolomics based on UHPLC-MS/MS analysis. Molecular docking technology was utilized to study the interactions between candidate metabolites and the sweet receptor T1R2/T1R3 and the bitter receptor T2R4/T2R14. Six key compounds with high sweetness and low bitterness were successfully identified by using computational simulation analysis, including cis-Anethole, Gluconic acid, beta-D-Sedoheptulose, Asparagine, Proline, and Citrulline, which may serve as candidates for taste modification in Cyclocarya paliurus leaves. These findings provide a new perspective for understanding the sweet and bitter taste characteristics metabolites that contribute to the distinctive sensory quality of Cyclocarya paliurus leaves.
Catalytic Oxidation-Like Nuclear Nano-Fusion; Fractal Involving of Magnetically Induced Room Temeprature Muon-Catalyzed Fusion
Authors: Maksoed Widastra
Published: August 2024

The nuclear fusion reaction can be catalyzed in a suitable fusion fuel by muons(heavy electron)."For the fractal relation, ranging from DNA knots to solar neutrino flux signals" ever derived f scale-invariant properties distinguished between classical invariant theory & quantum invariant theory subfactors. Accompanying isomorphicity & Connes Fusion Tensor Product retrieved to muon-catalyzed fusions where surroundings of room temperature fusion driven by the balance in mt-Dna fusion &fission.
Optimization of Supply-Demand Balance Dispatching and Economic Benefit Improvement in the Multi-Energy Virtual Power Plant within the Jiangxi Power Market
Authors: Xinfa Tang , Jingjing Wang , Yonghua Wang , Youwei Wan
Published: August 2024

This paper proposes an optimization method for the scheduling of a multi-energy virtual power plant supply-demand balance in the power market environment of Jiangxi Province. The objective of this method is to enhance the operational efficiency of the power grid, reduce energy costs, and facilitate economical and efficient energy distribution in the power market. The method comprehensively considers the characteristics and uncertainties of renewable energy sources such as solar and wind energy, and incorporates advanced multi-objective optimization algorithms. Additionally, real-time market price feedback is integrated to achieve accurate allocation of power supply and demand. Through a case study of a multi-energy virtual power plant in Jiangxi Province, this paper examines the optimal combination model for various energy sources within VPP, and analyzes the impact of different market environments on supply-demand balance. The results demonstrate that the proposed scheduling optimization method significantly improves economic benefits while ensuring grid stability. Compared with traditional power supply models, it reduces average electricity costs by 15% and increases renewable energy utilization efficiency by 20%.
Monitoring of Long COVID Symptoms Using Digitalised COVID-19 Yorkshire Rehabilitation Scale (C19-YRS) in Patients Attending Long COVID Rehabilitation Clinic
Authors: Myat Noe Hsu , Knight Sean , Diar Bakerly Laura , Richardson L Kay , Kaur Momi Harmeet , Gibbons Clare , Ramjug Sheila , Diar Bakerly Nawar
Published: August 2024

Abstract
Introduction: Long COVID (LC) affects multiple systems and has a significant health impact on patients and society. Therefore, long COVID services should address patients’ needs through a holistic assessment and monitoring of patients’ symptoms.
Aim: The aim was to understand which of the symptoms were most and least likely to improve, after our rehabilitation intervention so that the rehabilitation measures in the clinic could be modified to meet patients’ needs. At the same time, we wanted to assess the feasibility of using C19-YRS ELAROS application in monitoring of LC symptoms during and after the rehabilitation clinic attendance.
Methodology: In this study, a total of 50 patients who have attended long COVID rehabilitation clinic in Salford, UK; were assessed by using digitalised C19-YRS ELAROS application. A total of 100 eligible initial and final post rehabilitation assessments were analysed.
Conclusion: Pain and anxiety symptoms were the two most likely symptoms to improve after intervention at LC rehabilitation clinic, whereas swallowing difficulty is least likely to improve. Issues with caring for family/ social life (symptoms affecting social role) are likely to worsen even after treatment.
It is feasible to monitor and track Long COVID symptoms utilising the digitalised version of C19-YRS via the ELAROS App. This also allows the tracking of symptoms overtime.
Promoted Ru/PrOx Catalysts for Mild Ammonia Synthesis
Authors: Drummond Samuel M. , Naglic Jennifer , Onsree Thossaporn , Balijepalli S. K. , Allegro Alexis , Orraca Albino Stephanie N. , O’Connell Katherine M. , Lauterbach Jochen
Published: August 2024

Ammonia synthesis is one of the most important chemical reactions. Due to thermodynamic restrictions and the reaction requirements of the current commercial iron catalysts, it is also one of the worst reactions for carbon dioxide emissions and energy usage. Ruthenium-based catalysts can substantially improve the environmental impact as they operate at lower pressures and temperatures. In this work, we provide a screening of more than 40 metals as possible promoter options based on a Ru/Pr2O3 catalyst. Cesium was the best alkali promoter and was held constant for the series of double-promoted catalysts. Ten formulations outperformed the Ru-Cs/PrOx benchmark, with barium being the best second promoter studied and the most cost-effective option. Designs of experiments were utilized to optimize both the pretreatment conditions and the promoter weight loadings of the doubly promoted catalyst. As a result, optimization led to more than a five-fold increase in activity compared to the unpromoted catalyst, therefore creating a possibility for low ruthenium ammonia synthesis catalysts to be used at scale. Further, we have explored the roles of promoters using kinetic analysis, XPS, and in situ infrared spectroscopy. Here, we have shown that the role of barium is to act as a hydrogen scavenger and donor, which may permit new active sites for the catalyst, and have demonstrated that the associative reaction mechanism is likely used for the unpromoted Ru/PrOx catalyst with hydrogenation of the triple bond of the dinitrogen occurring first before any dinitrogen bond breakage.
A Botanical Bioflavonoid Composition from Scutellaria baicalensis and Acacia catechu Protected Mice against D-Galactose-Induced Immunosenescence, and Cyclophosphamide Induced Immune Suppression
Authors: Yimam Mesfin , Horm Teresa , O’Neal Alexandria , Chua Paola , Jiao Ping , Hong Mei , Jia Qi
Published: August 2024

Oxidative stress and chronic inflammation create a perpetual cycle in the elderly, where impaired immune function amplifies susceptibility to oxidative damage, and oxidative stress further weakens the immune response. This cycle is particularly detrimental to the respiratory system of the elderly, which is an easy target for constant exogenous harmful attacks during cold/flu season or under heavy air pollution. Herbal medicines that protect respiratory function are seen as safer alternatives to conventional therapies; however, there is limited availability of scientifically validated, safe, and effective natural supplements for these conditions. In this study, we evaluated a standardized bioflavonoid composition, UP446, which contains bioactives from the roots of Scutellaria baicalensis and the heartwoods of Acacia catechu, as a natural and nutritional supplement for its antioxidative and immunoregulatory effects in oxidative stress-accelerated aging and chemically induced immune suppression mouse models. Immunosenescence was induced by continual subcutaneous injection of D-galactose (D-Gal) at a dose of 500 mg/kg/day in CD-1 mice. UP446 was administered orally at doses of 100 mg/kg and 200 mg/kg starting in the fifth week of immunosenescence induction. The study lasted a total of ten weeks. All mice received a quadrivalent influenza vaccine 14 days before the end of the study. Whole blood, serum, spleen homogenate, and thymus tissues were used for analysis.Cyclophosphamide (Cy)-induced immunosuppression was triggered by three consecutive injections of cyclophosphamide at 80 mg/kg/day, followed by oral administration of UP446 for 18 days at doses of 100 mg/kg and 200 mg/kg. Blood was collected from each animal at necropsy, and serum was isolated for IgA and IgG ELISA analysis. UP446 was found to improve immune response, as evidenced by stimulation of innate (NK cells) and adaptive immune responses (T cells and cytotoxic T cells), an increase in antioxidant capacity (glutathione peroxidase), preservation of vital immune organs (the thymus), and a reduction in NFκB. UP446 also increased serum levels of IgA and IgG. The findings presented in this report demonstrate the antioxidative, anti-inflammatory, and immune-regulatory activities of UP446, suggesting its potential use in respiratory conditions involving immune stress due to aging, oxidative stress, and/or pathogenic challenges.
Recommender System for University Degree Selection: A Socioeconomic and Standardized Test Data Approach
Authors: DelaHoz-Dominguez Enrique , Hijón-Neira Raquel
Published: August 2024

Recommender systems in education are becoming more widespread, typically focusing on recommending courses or study materials. This study proposes a machine learning approach to recommend a university degree based on high school and university standardised test results, incorporating students' socioeconomic information as input variables. The objective is to develop a tool for students’ decision-making, supporting the sustainable development goal of Quality Education by providing a data schema to maximise the likelihood of a successful match between the student's profile and the academic program. With its focus on equity in education, this study provides a data-driven approach to assist students in selecting suitable university degrees, aiming to improve educational outcomes and inspire a more equitable education system.