bluuebunny/crossref_metadata_2025 huggingface dataset:
Decreased influenza activity during the COVID-19 pandemic in Ghana, 2020
Authors: Asante Ivy Asantewaa , Nyarko Stephen Ofori , Awuku-Larbi Yaw , Obeng Richard Asomadu , Sarpong Gifty Mawuli , Amenuvor Esinam Aku Apefa , Adusei-Poku Mildred , Boatemaa Linda , Magnusen Vanessa , Wutsika Jennifer , Ago Samuel , Kwasah Lorreta , Wordui Juliet , Tackie Roberta Aprilyn , Laryea Dennis Odai , Asiedu-Bekoe Franklin , Asiedu William , Mingle Daniel Lartei , Nyarko Edward Owusu , Fox Anne , Nimo-Paintsil Shirley C. , Attram Naiki , Sanders Terrel , Ampofo William Kwabena
Published: January 2024

Introduction

The COVID-19 pandemic had a significant effect on influenza activity globally. In this study, we analyzed trends of influenza activity in 2020 during the COVID-19 pandemic in Ghana.

Methods

This was a cross-sectional study using active prospective influenza surveillance data from 29 sentinel sites. At the sentinel sites, we enrolled patients presenting with symptoms based on the WHO case definition for influenza-like illness (ILI) and severe acute respiratory illness (SARI). Oro and nasopharyngeal swabs were collected from patients and tested for the presence of influenza viruses using specific primers and probes described by the US-CDC. The percentage of positivity for influenza between 2017–2019 and 2021 was compared to 2020. Using the test for proportions in STATA 17.0 we estimated the difference in influenza activities between two periods.

Results and discussion

Influenza activity occurred in a single wave during the 2020 surveillance season into 2021, September 28 2020–March 7 2021 (week 40, 2020–week 9, 2021). Influenza activity in 2020 was significantly lower compared to previous years (2017– 2019, 2021). Influenza A (H3) was more commonly detected during the early part of the year (December 30, 2019–March 8, 2020), while influenza B Victoria was more commonly detected toward the end of the year (September 28–December 28). In Ghana, adherence to the community mitigation strategies introduced to reduce transmission of SARS-CoV-2, which affected the transmission of other infectious diseases, may have also impacted the transmission of influenza. To the best of our knowledge, this is the first study in Ghana to describe the effect of the COVID-19 pandemic on influenza activity. The continuation and strict adherence to the non-pharmaceutical interventions at the community level can help reduce influenza transmission in subsequent seasons.
The core functions and forms paradigm throughout EPIS: designing and implementing an evidence-based practice with function fidelity
Authors: Terrana Alec , Viglione Clare , Rhee Kyung , Rabin Borsika , Godino Job , Aarons Gregory A. , Chapman Jessica , Melendrez Blanca , Holguin Margarita , Osorio Liliana , Gidwani Pradeep , Juarez Nunez Cynthia , Firestein Gary , Hekler Eric
Published: January 2024

There are numerous frameworks for implementing evidence-based practices (EBPs) in novel settings to achieve “fidelity.” However, identifying appropriate referents for fidelity poses a challenge. The Core Functions and Forms paradigm offers a model that can inform adaptation decisions throughout all phases of the Exploration, Preparation, Implementation, Sustainment (EPIS) framework. We applied the Core Functions-Forms paradigm throughout the Exploration and Preparation phases of EPIS in the design of two EBPs targeting family protective factors among Latinos in San Diego, as well as describe plans for its use in Implementation and Sustainment. We employed a distinct approach for each intervention element to contrast adaptation decisions that prioritize adherence to either form or function fidelity. We describe our application of the functions-forms paradigm within the EPIS framework, focusing on the Preparation phase. We also provide functions-forms matrices that map out the relationship between individual intervention components (forms) and the essential processes (functions) by which components are theorized to exert their impact. This case study of how the core functions-forms framework can be mapped onto EPIS can support a conceptual shift from prioritizing form fidelity to also focusing on function fidelity. This might allow interventionists to target appropriate fidelity referents when adapting an EBP, rather than defaulting to maintaining fidelity to forms as described in the protocol. We see great promise for using this framework for guiding actions throughout all EPIS phases and informing future applications of this paradigm to foster more robust fidelity to function.
The interplay between bacterial biofilms, encrustation, and wall shear stress in ureteral stents: a review across scales
Authors: Amado Pedro , Zheng Shaokai , Lange Dirk , Carugo Dario , Waters Sarah L. , Obrist Dominik , Burkhard Fiona , Clavica Francesco
Published: January 2024

Ureteral stents are hollow tubes that are inserted into the ureter to maintain the flow of urine from the kidney to the bladder. However, the use of these indwelling stents is associated with potential complications. Biofilm, an organized consortium of bacterial species embedded within a self-producing extracellular matrix, can attach to the outer and inner surfaces of ureteral stents. Furthermore, encrustation - defined as the buildup of mineral deposits on the stent surface - can occur independently or in parallel with biofilm formation. Both phenomena can cause stent obstruction, which can lead to obstructive pyelonephritis and make stent removal difficult. Understanding the influence of flow on the development of biofilm and encrustation and the impact of small mechanical environmental changes (e.g., wall shear stress distribution) is key to improve the long-term performance of stents. Identifying the optimal stent properties to prevent early bacterial attachment and/or crystal deposition and their growth, would represent a breakthrough in reducing biofilm-/encrustation-associated complications. This review identifies the most prevalent bacterial strains and crystal types associated with ureteral stents, and the process of their association with the stent surface, which often depends on patient comorbidities, stent material, and indwelling time. Furthermore, we focus on the often-overlooked role of fluid dynamics on biofilm and encrustation development in ureteral stents, across a range of physical scales (i.e., from micro- to macro-scale) with the aim of providing a knowledge base to inform the development of safer and more effective ureteral stents.
Climate smart agriculture impact on food and nutrition security in Ethiopia
Authors: Teklu Abyiot , Simane Belay , Bezabih Mintewab
Published: January 2024

Introduction

The objective of this study was to analyze how innovations in Climate-smart agriculture (CSA) contribute to improving the food and nutrition security of smallholder households, thereby promoting sustainable food systems.

Methods

A cross-sectional household survey was conducted among a multi-stage sample of 424 smallholder farmers drawn from five different agroecosystems. To examine households’ food and nutrition security, we used food consumption score (FCS) and modified household dietary diversity score (HDDS) in propensity score matching (PSM) and endogenous switching regression (ESR) estimation models.

Results

PSM results showed that crop residue management, compost, and agroforestry have a significant effect on improving households’ food and nutrition security by 21.3, 13.6, and 16.6%, respectively, whereas Soil and water conservation (SWC) has reduced adopters’ food security by 12.9%. However, the conditional average treatment effect, or ESR result, reveals that households’ food and nutrition security has improved as a result of the adoption of crop residue management, compost, SWC, and agroforestry.

Discussion

Although the impact of crop residue management, compost, and agroforestry is positive, the effect of SWC on household food security has been inconclusive. Hence, it is important to upscale the adoption of multiple CSA innovations to improve smallholder household’s food security in the face of climate change.
Digital technologies and food security during crisis: COVID-19 experiences from smallholder farmers in Odisha, India
Authors: Ferguson Rhonda , Mishra Suvankar , Qureshi Sumaire , Injac Lidia , Talukder Byomkesh , Orbinski James
Published: January 2024

This research explores the significance of digital agricultural technology concerning food security for smallholder farmers and their communities in Odisha, India, amidst the COVID-19 pandemic. The study is a collaborative effort between academic researchers based in Canada, 15 small-scale farmers from Odisha, and the India-based social enterprise, eKutir. The farmers’ experiences utilizing eKutir’s technology are examined to understand how it aids them in meeting their food security requirements, sustaining their livelihoods and participating in local food systems before and during the pandemic. eKutir shares transactional data that illustrate how their platform facilitates food movement through local food systems during the pandemic while exploring its potential to enhance food security and food system resilience further. The primary goal of this research is to strengthen the adaptive capacity of smallholder farmers and the food systems dependent on them, particularly during non-conflict crises like the COVID pandemic, that affect economic, physical, and social aspects of life. This research is also intended to contribute to the continued development of digital technology in a way that supports smallholder farmer interests. Our findings reveal that access to eKutir’s platform enabled farmers to remain connected to essential markets, continue earning income, and support local food systems during the COVID pandemic. While potential negative consequences associated with data-focused agricultural technologies can acrue, when technology design is guided by and tailored to the needs of resource-constrained farmers, it can substantially contribute to their resilience in the face of contemporary challenges and risks.
Genomic insights into ESBL-producing Escherichia coli isolated from non-human primates in the Peruvian Amazon
Authors: Bazalar-Gonzales Jhonathan , Silvestre-Espejo Thalía , Rodríguez Cueva Carmen , Carhuaricra Huamán Dennis , Ignación León Yennifer , Luna Espinoza Luis , Rosadio Alcántara Raúl , Maturrano Hernández Lenin
Published: January 2024

Introduction

Extended-spectrum beta-lactamase (ESBL)-producing Enterobacteriaceae are on the WHO priority pathogens list because they are associated with high mortality, health-care burden, and antimicrobial resistance (AMR), a serious problem that threatens global public health and should be addressed through the One Health approach. Non-human primates (NHP) have a high risk of acquiring these antibiotic-resistant bacteria due to their close phylogenetic relationship with humans and increased anthropogenic activities in their natural environments. This study aimed to detect and analyze the genomes of ESBL-producing Escherichia coli (ESBL-producing E. coli) in NHP from the Peruvian Amazon.

Materials and methods

We collected a total of 119 fecal samples from semi-captive Saguinus labiatus, Saguinus mystax, and Saimiri boliviensis, and captive Ateles chamek, Cebus unicolor, Lagothrix lagothricha, and Sapajus apella in the Loreto and Ucayali regions, respectively. Subsequently, we isolated and identified E. coli strains by microbiological methods, detected ESBL-producing E. coli through antimicrobial susceptibility tests following CLSI guidelines, and analyzed their genomes using previously described genomic methods.

Results

We detected that 7.07% (7/99) of E. coli strains: 5.45% (3/55) from Loreto and 9.09% (4/44) from Ucayali, expressed ESBL phenotype. Genomic analysis revealed the presence of high-risk pandemic clones, such as ST10 and ST117, carrying a broad resistome to relevant antibiotics, including three blaCTX-M variants: blaCTX-M-15, blaCTX-M-55, and blaCTX-M-65. Phylogenomic analysis confirmed the clonal relatedness of high-risk lineages circulating at the human-NHP interface. Additionally, two ESBL-producing E. coli strains were identified as EPEC (eae) and ExPEC according to their virulence profiles, and one more presented a hypermucoviscous phenotype.

Discussion

We report the detection and genomic analysis of seven ESBL-producing E. coli strains carrying broad resistome and virulence factors in NHP from two regions of the Peruvian Amazon. Some of these strains are closely related to high-risk pandemic lineages previously reported in humans and domestic animals, highlighting the negative impact of anthropogenic activities on Amazonian wildlife. To our knowledge, this is the first documentation of ESBL-producing E. coli in NHP from the Amazon, underscoring the importance of adopting the One Health approach to AMR surveillance and minimizing the potential transmission risk of antibiotic-resistant bacteria at the human-NHP interface.
Future impact of thymoquinone-loaded nanoemulsion in rabbits: prospects for enhancing growth, immunity, antioxidant potential and resistance against Pasteurella multocida
Authors: Abd El-Hamid Marwa I. , El-Azzouny Mona M. , El-Malt Rania M. S. , Elkenawy Mona E. , Abdelwarith Abdelwahab A. , Younis Elsayed M. , Youssef Wessam , Dawod Rehab E. , Elged Dalia W. A. H. , Habaka Manal A. M. , El Oksh Amal S. A. , Mekawy Soad , Davies Simon J. , Ibrahim Doaa
Published: January 2024

Phytochemical nanoemulsions, such as thymoquinone nanoemulsions (TQN), are regarded as innovative alternatives to antimicrobials that significantly improve the performance, digestion, antioxidant potential and immunity of rabbits. Thus, the potential effects of TQN on growth, digestibility, antioxidant potential, immunity and resistance against Pasteurella multocida (P. multocida) in rabbits were assessed. Herein, 240 rabbits were offered either a basal diet or diets fortified with three TQN-graded concentrations. At 60 days of age, rabbits were challenged with multidrug-resistant (MDR) virulent P. multocida strain. Our outcomes described that dietary inclusion of TQN, especially at higher concentrations, significantly enhanced the growth performance of rabbits, which was supported by increasing the levels of jejunal lipase, amylase and trypsin enzymes. Of note, the levels of muscle and jejunal antioxidant enzymes [superoxide dismutase (SOD), glutathione peroxidase (GPX), catalase (CAT) and total antioxidant capacity (T-AOC)], serum immunological markers (IgG, IgG, IgM and total Igs) and blood phagocytic percentage were significantly provoked after TQN fortification; meanwhile, the levels of muscle and jejunal MDA, serum biochemical parameters (total cholesterol, TG and LDL), abdominal fat percentage, breast and thigh cholesterol were significantly decreased following TQN supplementations. Our findings showed that TQN protected rabbits against P. multocida experimental challenge as evidenced by reducing P. multocida counts in rabbits’ lungs, downregulating the transcription levels of P. multocida virulence-related genes (ptfA, toxA and nanB) at 48 and 96 h post-infection and ameliorating the expression levels of cytokines-related genes (IL-1β, IL-10, IL-8, IL-6, DEFB1, TNF-α, TLR-4 and TLR-2) at 96 h post-infection. Our findings suggest the utilization of TQN in rabbits’ diets due to their stimulating effects on digestibility as well as their growth-promoting, anti-inflammatory, antioxidant, antibacterial, anti-virulence and immunostimulant properties, which enhance the rabbits’ P. multocida resistance.
Los significados de la arquitectura. De la investigación a la práctica
Authors: Lara Calderón M. Lenin ,   Universidad Internacional del Ecuador, Nieto Julián Juan Enrique ,   Universidad de Sevilla, del Pino Martínez Inés Angélica ,   Pontificia Universidad Católica del Ecuador, González González Mauricio Javier ,   Universidad Central del Ecuador, Orquera Jácome María Isabel ,   Universidad Central del Ecuador, Camacho Aguirre Santiago ,   Universidad Central del Ecuador, González Romero Daniel ,   Universidad de Guadalajara, Pérez Bourzac María Teresa ,   Universidad de Guadalajara, Crespo Sánchez Carlos Alberto ,   Universidad de Guadalajara, Coronel Chávez Jorge Elías ,   Universidad Central del Ecuador, Durán Larrea Manuel Eduardo ,   Universidad Central del Ecuador
Published: January 2024

Los significados de la arquitectura, de la investigación a la práctica... trata de romper el mito de que las investigaciones poco o nada son aplicables por la academia y la vida profesional, generando una aproximación interesante de investigaciones desarrolladas en los últimos años por varios de los autores. Asimismo, el uso del # como identificador universal para depositar en plataformas web, redes sociales, etc. y difundir el libro a las nuevas generaciones de estudiantes, investigadores, profesionales y público en general. Académicos, amigos e investigadores de varias universidades y localidades hemos unido esfuerzos para hacer de este manuscrito un instrumento de consulta y aplicación para los profesionales vinculados con la arquitectura, la representación gráfica, el urbanismo y las ingenierías. En la publicación de #significados hemos dividido el libro en tres temáticas, iniciamos con el principio... #metáfora #estrategiacreativa; el contexto... #habitar #latinoamerica #sostenibilidad; así como el lugar... #quito #iglesiadelacompañia. Avatares, convocatorias inconclusas y problemas propios dilataron la producción de este manuscrito, hasta que en junio del 2023 se benefició de la convocatoria publicación de la Dirección General de Investigación (DGI) de la Universidad Internacional del Ecuador Powered by ASU, para divulgación científica de las obras relevantes de libros con sello editorial UIDE.
Optimizing Reinforcement Learning Using a Generative Action-Translator Transformer
Authors: Li Jiaming , Xie Ning , Zhao Tingting
Published: January 2024

In recent years, with the rapid advancements in Natural Language Processing (NLP) technologies, large models have become widespread. Traditional reinforcement learning algorithms have also started experimenting with language models to optimize training. However, they still fundamentally rely on the Markov Decision Process (MDP) for reinforcement learning, and do not fully exploit the advantages of language models for dealing with long sequences of problems. The Decision Transformer (DT) introduced in 2021 is the initial effort to completely transform the reinforcement learning problem into a challenge within the NLP domain. It attempts to use text generation techniques to create reinforcement learning trajectories, addressing the issue of finding optimal trajectories. However, the article places the training trajectory data of reinforcement learning directly into a basic language model for training. Its aim is to predict the entire trajectory, encompassing state and reward information. This approach deviates from the reinforcement learning training objective of finding the optimal action. Furthermore, it generates redundant information in the output, impacting the final training effectiveness of the agent. This paper proposes a more reasonable network model structure, the Action-Translator Transformer (ATT), to predict only the next action of the agent. This makes the language model more interpretable for the reinforcement learning problem. We test our model in simulated gaming scenarios and compare it with current mainstream methods in the offline reinforcement learning field. Based on the presented experimental results, our model demonstrates superior performance. We hope that introducing this model will inspire new ideas and solutions for combining language models and reinforcement learning, providing fresh perspectives for offline reinforcement learning research.
Enhancing Precision in Magnetic Map Interpolation for Regions with Sparse Data
Authors: Li Haibin , Zhang Qi , Pan Mengchun , Chen Dixiang , Yu Ziqiang , Xu Yujing , Ding Zengquan , Liu Xu , Wan Ke , Dai Weiji
Published: January 2024

The high-precision magnetic anomaly reference map is a prerequisite for magnetic navigation and magnetic target detection. However, it is difficult to reflect the detailed characteristics of magnetic anomaly changes by using conventional data interpolation and reconstruction in the areas where magnetic anomaly gradients vary drastically and the distribution of magnetic survey lines is sparse. To solve the problem, an improved variogram of the Kriging interpolation method is proposed to improve the spatial resolution of magnetic anomaly feature. This method selects the spherical variogram model and uses the third power of the lag distance to fit the trend of magnetic anomalies. Meanwhile, the second power of the lag distance is introduced to solve the problem of under-fitting between the lag distance and the value of the variation function near the origin of the sparse variogram graph of measured data. Hyperparameter λ is introduced to compensate for the unbalance caused by the introduction of quadratic lag in the spherical variogram model. The results of several sets of simulated and measured data show that the interpolation accuracy of the proposed method is improved by 30–50% compared with the traditional Gaussian, spherical, and exponential models in the region where the magnetic anomaly gradient changes drastically, and the proposed model provides an effective way to build a high-precision magnetic anomaly reference map of the complex magnetic background under the condition of sparse survey lines.
Mechanisms and Clinical Implications of Human Gut Microbiota-Drug Interactions in the Precision Medicine Era
Authors: Wang Shuaiqi , Ju Dianwen , Zeng Xian
Published: January 2024

The human gut microbiota, comprising trillions of microorganisms residing in the gastrointestinal tract, has emerged as a pivotal player in modulating various aspects of human health and disease. Recent research has shed light on the intricate relationship between the gut microbiota and pharmaceuticals, uncovering profound implications for drug metabolism, efficacy, and safety. This review depicted the landscape of molecular mechanisms and clinical implications of dynamic human gut Microbiota-Drug Interactions (MDI), with an emphasis on the impact of MDI on drug responses and individual variations. This review also discussed the therapeutic potential of modulating the gut microbiota or harnessing its metabolic capabilities to optimize clinical treatments and advance personalized medicine, as well as the challenges and future directions in this emerging field.
Exploring DNA Damage and Repair Mechanisms: A Review with Computational Insights
Authors: Chen Jiawei , Potlapalli Ravi , Quan Heng , Chen Lingtao , Xie Ying , Pouriyeh Seyedamin , Sakib Nazmus , Liu Lichao , Xie Yixin
Published: January 2024

DNA damage is a critical factor contributing to genetic alterations, directly affecting human health, including developing diseases such as cancer and age-related disorders. DNA repair mechanisms play a pivotal role in safeguarding genetic integrity and preventing the onset of these ailments. Over the past decade, substantial progress and pivotal discoveries have been achieved in DNA damage and repair. This comprehensive review paper consolidates research efforts, focusing on DNA repair mechanisms, computational research methods, and associated databases. Our work is a valuable resource for scientists and researchers engaged in computational DNA research, offering the latest insights into DNA-related proteins, diseases, and cutting-edge methodologies. The review addresses key questions, including the major types of DNA damage, common DNA repair mechanisms, the availability of reliable databases for DNA damage and associated diseases, and the predominant computational research methods for enzymes involved in DNA damage and repair.
In Situ pH Measurement in Microfluidic Porous Media Indicated by Surfaces Functionalized with Polyaniline (PAni)
Authors: Zhang Ge , Nazari Negar , Kovscek Anthony R.
Published: January 2024

Aqueous phase pH is a critical metric with significant importance in understanding reactive transport processes in porous media. At the microscale, however, traditional pH detection methods face challenges in capturing dynamic pH due to limited sample volume and sensing time. To overcome these limitations, we leveraged micro/nanofabrication techniques to create a microfluidic porous medium coated with polyaniline (PAni) on its surface. Using this innovative microfluidic design, we achieved colorimetric delineation of pH spatial distribution with fast response and robustness in porous media. By conducting coinjection tests with hydrochloric acid (pH = 2) and DI water (pH ≈ 5.8, equilibrated with air) at various flow rates and relative flow rate ratios in a sandstone-patterned microfluidic device, we observed dynamic pH changes in porous media and obtained a comprehensive understanding of the acid advection-diffusion dynamics. The results highlighted the capability of PAni to enable microscale pH sensing. This research contributes to the development of advanced porous media microfluidics and applications, particularly in mass transfer limits during reactive transport of carbon dioxide sequestration and geological hydrogen storage.
Plasma Cell-Free Tumor Methylome as a Biomarker in Solid Tumors: Biology and Applications
Authors: Sacdalan Danielle Benedict , Ul Haq Sami , Lok Benjamin H.
Published: January 2024

DNA methylation is a fundamental mechanism of epigenetic control in cells and its dysregulation is strongly implicated in cancer development. Cancers possess an extensively hypomethylated genome with focal regions of hypermethylation at CPG islands. Due to the highly conserved nature of cancer-specific methylation, its detection in cell-free DNA in plasma using liquid biopsies constitutes an area of interest in biomarker research. The advent of next-generation sequencing and newer computational technologies have allowed for the development of diagnostic and prognostic biomarkers that utilize methylation profiling to diagnose disease and stratify risk. Methylome-based predictive biomarkers can determine the response to anti-cancer therapy. An additional emerging application of these biomarkers is in minimal residual disease monitoring. Several key challenges need to be addressed before cfDNA-based methylation biomarkers become fully integrated into practice. The first relates to the biology and stability of cfDNA. The second concerns the clinical validity and generalizability of methylation-based assays, many of which are cancer type-specific. The third involves their practicability, which is a stumbling block for translating technologies from bench to clinic. Future work on developing pan-cancer assays with their respective validities confirmed using well-designed, prospective clinical trials is crucial in pushing for the greater use of these tools in oncology.
Comparison of 68Ga-DOTATATE Positron Emmited Tomography/Computed Tomography and Gadoxetic Acid-Enhanced Magnetic Resonance Imaging for the Detection of Liver Metastases from Well-Differentiated Neuroendocrine Tumors
Authors: Drucker Iarovich Moran , Hinzpeter Ricarda , Moloney Brian Michael , Hueniken Katrina , Veit-Haibach Patrick , Ortega Claudia , Metser Ur
Published: January 2024

This study aimed to compare the detection of neuroendocrine tumor liver metastases (NLMs) in hepatobiliary-specific contrast-enhanced MRI (pMR) versus 68Ga-DOTATATE PET/CT (DT-PET). This retrospective study cohort included 30 patients with well-differentiated neuroendocrine tumors who underwent both DT-PET and pMR. Two readers independently assessed NLMs count, SUVmax on DT-PET, and signal characteristics on pMR. A consensus review by two additional readers resolved discrepancies between the modalities. Results showed concordance between DT-PET and pMR NLM count in 14/30 patients (47%). pMR identified more NLMs in 12/30 patients (40%), of which 4 patients showed multiple deposits on pMR but only 0–1 lesions on DT-PET. DT-PET detected more in 4/30 patients (13%). Overall, pMR detected more metastases than DT-PET (p = 0.01). Excluding the four outliers, there was excellent agreement between the two methods (ICC: 0.945, 95%CI: 0.930, 0.958). Notably, pMR had a higher NLM detection rate than DT-PET, with correlations found between lesion size on pMR and DT-PET detectability, as well as diffusion restriction on pMR and SUVmax on DT-PET. In conclusion, in consecutive patients with well-differentiated NETs, the detection rate of NLM is higher with pMR than with DT-PET. However, when excluding patients whose tumors do not overexpress somatostatin receptors (13% of the cohort), high concordance in the detection of NLM is observed between DT PET and pMR.
Profile Assessment of Bioactive Peptides in the Greek Traditional Cheese “Tsalafouti”
Authors: Meleti Ermioni , Alexandraki Maria , Samara Antonia , Loffi Cecilia , Tedeshi Tullia , Galaverna Gianni , Manouras Athanasios , Koureas Michalis , Malissiova Eleni
Published: January 2024

In the Greek regions of Agrafa and Tzoumerka, Tsalafouti, a traditional spreadable cheese made from goat’s and sheep’s milk is produced. This product has emerged in recent years as a result of the campaign to acquire Geographical Indication. This study aimed to assess the biopeptide profile of Tsalafouti cheese in order to highlight its nutritional value. Using HPLC-MS, bioactive peptides in Tsalafouti cheese samples were identified and classified according to their bioactivity. The biopeptides detected are known to present antibacterial, anti-diabetic, anti-hypertensive, anti-thrombotic, antioxidant, and immunomodulatory activities, while ACE enzyme and dipeptidyl-4 (DPP-IV) inhibitors were also identified. Based on these results, Tsalafouti cheese presents an interesting bioactive peptides profile that may act as special motivation for consumers to choose this specific cheese.
Quantum Measurements and Delays in Scattering by Zero-Range Potentials
Authors: Gutiérrez Xabier , Pons Marisa , Sokolovski Dmitri
Published: January 2024

Eisenbud–Wigner–Smith delay and the Larmor time give different estimates for the duration of a quantum scattering event. The difference is most pronounced in the case where the de Broglie wavelength is large compared to the size of the scatterer. We use the methods of quantum measurement theory to analyse both approaches and to decide which one of them, if any, describes the duration a particle spends in the region that contains the scattering potential. The cases of transmission, reflection, and three-dimensional elastic scattering are discussed in some detail.
Can Denoising Enhance Prediction Accuracy of Learning Models? A Case of Wavelet Decomposition Approach
Authors: Tamilselvi C. , Yeasin Md , Paul Ranjit Kumar , Paul Amrit Kumar
Published: January 2024

Denoising is an integral part of the data pre-processing pipeline that often works in conjunction with model development for enhancing the quality of data, improving model accuracy, preventing overfitting, and contributing to the overall robustness of predictive models. Algorithms based on a combination of wavelet with deep learning, machine learning, and stochastic model have been proposed. The denoised series are fitted with various benchmark models, including long short-term memory (LSTM), support vector regression (SVR), artificial neural network (ANN), and autoregressive integrated moving average (ARIMA) models. The effectiveness of a wavelet-based denoising approach was investigated on monthly wholesale price data for three major spices (turmeric, coriander, and cumin) for various markets in India. The predictive performance of these models is assessed using root mean square error (RMSE), mean absolute percentage error (MAPE), and mean absolute error (MAE). The wavelet LSTM model with Haar filter at level 6 emerged as a robust choice for accurate price predictions across all spices. It was found that the wavelet LSTM model had a significant gain in accuracy than the LSTM model by more than 30% across all accuracy metrics. The results clearly highlighted the efficacy of a wavelet-based denoising approach in enhancing the accuracy of price forecasting.
Some Fractional Stochastic Models for Neuronal Activity with Different Time-Scales and Correlated Inputs
Authors: Pirozzi Enrica
Published: January 2024

In order to describe neuronal dynamics on different time-scales, we propose a stochastic model based on two coupled fractional stochastic differential equations, with different fractional orders. For the specified choice of involved functions and parameters, we provide three specific models, with/without leakage, with fractional/non-fractional correlated inputs. We give explicit expressions of the process representing the voltage variation in the neuronal membrane. Expectation values and covariances are given and compared. Numerical evaluations of the average behaviors of involved processes are presented and discussed.
Application of Tilt Integral Derivative for Efficient Speed Control and Operation of BLDC Motor Drive for Electric Vehicles
Authors: Sayed Khairy , El-Zohri Hebatallah H. , Ahmed Adel , Khamies Mohamed
Published: January 2024

This study presents the tilt integral derivative (TID) controller technique for controlling the speed of BLDC motors in order to improve the real-time control of brushless direct current motors in electric vehicles. The TID controller is applied to the considered model to enhance its performance, e.g., torque and speed. This control system manages the torque output, speed, and position of the motor to ensure precise and efficient operation in EV applications. Brushless direct current motors are becoming more and more popular due to their excellent torque, power factor, efficiency, and controllability. The differences between PID, TID, and PI controllers are compared. The outcomes demonstrated that the TID control enhanced the torque and current stability in addition to the BLDC system’s capacity to regulate speed. TID controllers provide better input power for BLDC (brushless DC) drives than PI and PID controllers do. Better transient responsiveness and robustness to disturbances are features of TID controller design, which can lead to more effective use of input power. TID controllers are an advantageous choice for BLDC drive applications because of their increased performance, which can result in increased system responsiveness and overall efficiency. In an experimental lab, a BLDC motor drive prototype is implemented in this study. To fully enhance the power electronic subsystem and the brushless DC motor’s real-time performance, a test bench was also built.
How to Incorporate Cultural Values and Heritage in Maritime Spatial Planning: A Systematic Review
Authors: Barianaki Eirini , Kyvelou Stella Sofia , Ierapetritis Dimitrios G.
Published: January 2024

Understanding aspects of maritime/underwater cultural heritage (MUCH) and the associated cultural values and integrating them into maritime spatial planning (MSP) processes is a new global challenge alongside the rapid increase in human activities at sea and climate change impacts on the seas and the oceans. This article highlights the significance of cultural values in shaping human interactions with marine environments and how MSP can address the cultural dimensions of marine resources management. The key research question addresses the prerequisites and methods for a better incorporation of MUCH in the MSP processes. This review revealed a diversity of literature addressing the inclusion of MUCH in (a) coastal and marine management but also in (b) marine/maritime spatial planning (346 articles from the Scopus database). In the first case, there is a strong focus on cultural ecosystem services (CES) and cultural values, the role of indigenous and local communities, the transfer of traditional ecological knowledge, and participatory approaches and tools. As for the latter, this review demonstrated quite a lot of relatively recent MSP endeavors that seem to be influenced by the above approaches identified in the coastal and marine management literature. This article concludes that for MSPlans to be innovative and mainly acceptable by local communities, the “missing layer” of socio-cultural values and data is indispensable. Furthermore, a collaborative MSP between governments and regional/provincial authorities may boost sustainable blue activities while preserving ecological and cultural values.
Establishment of an Ex Situ Collection of Glycyrrhiza glabra L. as a Prerequisite for Field Cultivation in Bulgaria
Authors: Kozhuharova Asya , Nikolova Milena , Stoyanov Stoyan , Yankova-Tsvetkova Elina , Ilinkin Vladimir , Berkov Strahil , Stanilova Marina
Published: January 2024

Glycyrrhiza glabra L. (Fabaceae), commonly known as licorice, is a perennial medicinal plant. Its healing properties are due mainly to the secondary metabolites glycyrrhizin and flavonoids accumulated in the roots of plants aged 3 years or more. Overexploitation of licorice populations in Bulgaria led to their rapid decrease. The species is protected by the national Biodiversity Act. The present study aimed at establishing of an ex situ collection of G. glabra using plant material originating from its Bulgarian populations in order to evaluate the main characteristics of the cultivated plants and their potential use as a source of plant material for the creation of a plantation. Plants were obtained from stolon cuttings of donor wild-growing plants from three Bulgarian populations and then cultivated for 3 years in the experimental field plot. Plants originating from all three populations produced glycyrrhizin and flavonoids in similar concentrations under the controlled conditions of the ex situ collection, despite the significant inter-population differences noted in situ. The soil type and supply of soil organic matter, total nitrogen and other nutrients turned out to be most important for the quality of plants in terms of both their growth and biosynthetic capacity. In addition, in vitro micropropagation has proven to be a suitable method for accelerating seedling production. These results would be of practical importance in establishing an agricultural plantation of G. glabra.
The Value of Urinary NGAL, KIM-1, and IL-18 Measurements in the Early Detection of Kidney Injury in Oncologic Patients Treated with Cisplatin-Based Chemotherapy
Authors: Szumilas Dawid , Owczarek Aleksander Jerzy , Brzozowska Aniceta , Niemir Zofia Irena , Olszanecka-Glinianowicz Magdalena , Chudek Jerzy
Published: January 2024

Cisplatin is still a widely used anticancer drug characterized by significant nephrotoxicity. Acute kidney injury (AKI), diagnosed based on the Kidney Disease: Improving Global Outcomes (KDIGO) criteria, has limitations, including a delayed increase in creatinine. We determined the usefulness of neutrophil gelatinase-associated lipocalin (NGAL), kidney injury molecule-1 (KIM-1), and interleukin-18 (IL-18) in diagnosing AKI according to the KDIGO criteria in patients treated with cisplatin. We recruited 21 subjects starting cisplatin-based chemotherapy (Cisplatin-based group) and 11 treated with carboplatin-based chemotherapy or 5-fluorouracil regimens (non-cisplatin-based group). Blood and urine samples were collected during four subsequent cycles of chemotherapy (68 and 38 cycles, respectively). AKI occurred in four patients in the cisplatin-based group (5.9% of 68 cisplatin-based chemotherapy cycles). Among them, three urinary markers were increased by over 100% in two cases, two in one case and one in another. A doubling of at least one investigated parameter was observed more frequently during cisplatin-based chemotherapy (80.3% vs. 52.8%; OR = 3.65, 95% CI: 1.49–8.90; p < 0.01). The doubling of at least one new urinary AKI marker was more common in patients receiving cisplatin and frequently was not associated with overt AKI. Thus, a subclinical kidney injury detected by these markers occurs more frequently than deterioration in kidney function stated with creatinine changes.
Inhibitory Effects of Shikonin Dispersion, an Extract of Lithospermum erythrorhizon Encapsulated in β-1,3-1,6 Glucan, on Streptococcus mutans and Non-Mutans Streptococci
Authors: Nomura Ryota , Suehiro Yuto , Tojo Fumikazu , Matayoshi Saaya , Okawa Rena , Hamada Masakazu , Naka Shuhei , Matsumoto-Nakano Michiyo , Unesaki Rika , Koumoto Kazuya , Kawauchi Keiko , Nishikata Takahito , Akitomo Tatsuya , Mitsuhata Chieko , Yagi Masatoshi , Mizoguchi Toshiro , Fujikawa Koki , Taniguchi Taizo , Nakano Kazuhiko
Published: January 2024

Shikonin is extracted from the roots of Lithospermum erythrorhizon, and shikonin extracts have been shown to have inhibitory effects on several bacteria. However, shikonin extracts are difficult to formulate because of their poor water solubility. In the present study, we prepared a shikonin dispersion, which was solubilized by the inclusion of β-1,3-1,6 glucan, and analysed the inhibitory effects of this dispersion on Streptococcus mutans and non-mutans streptococci. The shikonin dispersion showed pronounced anti-S. mutans activity, and inhibited growth of and biofilm formation by this bacterium. The shikonin dispersion also showed antimicrobial and antiproliferative effects against non-mutans streptococci. In addition, a clinical trial was conducted in which 20 subjects were asked to brush their teeth for 1 week using either shikonin dispersion-containing or non-containing toothpaste, respectively. The shikonin-containing toothpaste decreased the number of S. mutans in the oral cavity, while no such effect was observed after the use of the shikonin-free toothpaste. These results suggest that shikonin dispersion has an inhibitory effect on S. mutans and non-mutans streptococci, and toothpaste containing shikonin dispersion may be effective in preventing dental caries.
A Versatile Aldehyde: Ferredoxin Oxidoreductase from the Organic Acid Reducing Thermoanaerobacter sp. Strain X514
Authors: Nissen Laura Sofie , Moon Jimyung , Hitschler Lisa , Basen Mirko
Published: January 2024

Aldehyde:ferredoxin oxidoreductases (AORs) have been isolated and biochemically-characterized from a handful of anaerobic or facultative aerobic archaea and bacteria. They catalyze the ferredoxin (Fd)-dependent oxidation of aldehydes to acids. Recently, the involvement of AOR in the reduction of organic acids to alcohols with electrons derived from sugar or synthesis gas was demonstrated, with alcohol dehydrogenases (ADHs) carrying out the reduction of the aldehyde to the alcohol (AOR-ADH pathway). Here, we describe the biochemical characterization of an AOR of the thermophilic fermentative bacterium Thermoanaerobacter sp. strain X514 (AORX514). The putative aor gene (Teth514_1380) including a 6x-His-tag was introduced into the genome of the genetically-accessible, related species Thermoanaerobacter kivui. The protein was purified to apparent homogeneity, and indeed revealed AOR activity, as measured by acetaldehyde-dependent ferredoxin reduction. AORX514 was active over a wide temperature (10 to 95 °C) and pH (5.5 to 11.5) range, utilized a wide variety of aldehydes (short and branched-chained, aliphatic, aromatic) and resembles archaeal sensu stricto AORs, as the protein is active in a homodimeric form. The successful, recombinant production of AORX514 in a related, well-characterized and likewise strict anaerobe paves the road towards structure-function analyses of this enzyme and possibly similar oxygen-sensitive or W/Mo-dependent proteins in the future.
Coatings for Cardiovascular Stents—An Up-to-Date Review
Authors: Udriște Alexandru Scafa , Burdușel Alexandra Cristina , Niculescu Adelina-Gabriela , Rădulescu Marius , Grumezescu Alexandru Mihai
Published: January 2024

Cardiovascular diseases (CVDs) increasingly burden health systems and patients worldwide, necessitating the improved awareness of current treatment possibilities and the development of more efficient therapeutic strategies. When plaque deposits narrow the arteries, the standard of care implies the insertion of a stent at the lesion site. The most promising development in cardiovascular stents has been the release of medications from these stents. However, the use of drug-eluting stents (DESs) is still challenged by in-stent restenosis occurrence. DESs’ long-term clinical success depends on several parameters, including the degradability of the polymers, drug release profiles, stent platforms, coating polymers, and the metals and their alloys that are employed as metal frames in the stents. Thus, it is critical to investigate new approaches to optimize the most suitable DESs to solve problems with the inflammatory response, delayed endothelialization, and sub-acute stent thrombosis. As certain advancements have been reported in the literature, this review aims to present the latest updates in the coatings field for cardiovascular stents. Specifically, there are described various organic (e.g., synthetic and natural polymer-based coatings, stents coated directly with drugs, and coatings containing endothelial cells) and inorganic (e.g., metallic and nonmetallic materials) stent coating options, aiming to create an updated framework that would serve as an inception point for future research.
Concise and Free-Metal Access to Lactone-Annelated Pyrrolo[2,1-a]isoquinoline Derivatives via a 1,2-Rearrangement Step
Authors: Obydennik Arina Y. , Titov Alexander A. , Listratova Anna V. , Borisova Tatiana N. , Rybakov Victor B. , Voskressensky Leonid G. , Varlamov Alexey V.
Published: January 2024

Here, An efficient approach to obtaining previously unknown furo[2′,3′:2,3]pyrrolo[2,1-a]isoquinoline derivatives from readily available 1-R-1-ethynyl-2-vinylisoquinolines is described. The reaction features a simple procedure, occurs in hexaflouroisopropanol and does not require elevated temperatures. It has been found that the addition of glacial acetic acid significantly increases the yields of the target spirolactone products. Using trifluoroethanol instead of hexaflouroisopropanol results in the formation of pyrido[2,1-a]isoquinolines.
Nutrient Combinations Sensed by L-Cell Receptors Potentiate GLP-1 Secretion
Authors: Sodum Nalini , Mattila Orvokki , Sharma Ravikant , Kamakura Remi , Lehto Vesa-Pekka , Walkowiak Jaroslaw , Herzig Karl-Heinz , Raza Ghulam Shere
Published: January 2024

Obesity is a risk factor for cardiometabolic diseases. Nutrients stimulate GLP-1 release; however, GLP-1 has a short half-life (<2 min), and only <10–15% reaches the systemic circulation. Human L-cells are localized in the distal ileum and colon, while most nutrients are absorbed in the proximal intestine. We hypothesized that combinations of amino acids and fatty acids potentiate GLP-1 release via different L-cell receptors. GLP-1 secretion was studied in the mouse enteroendocrine STC-1 cells. Cells were pre-incubated with buffer for 1 h and treated with nutrients: alpha-linolenic acid (αLA), phenylalanine (Phe), tryptophan (Trp), and their combinations αLA+Phe and αLA+Trp with dipeptidyl peptidase-4 (DPP4) inhibitor. After 1 h GLP-1 in supernatants was measured and cell lysates taken for qPCR. αLA (12.5 µM) significantly stimulated GLP-1 secretion compared with the control. Phe (6.25–25 mM) and Trp (2.5–10 mM) showed a clear dose response for GLP-1 secretion. The combination of αLA (6.25 µM) and either Phe (12.5 mM) or Trp (5 mM) significantly increased GLP-1 secretion compared with αLA, Phe, or Trp individually. The combination of αLA and Trp upregulated GPR120 expression and potentiated GLP-1 secretion. These nutrient combinations could be used in sustained-delivery formulations to the colon to prolong GLP-1 release for diminishing appetite and preventing obesity.