bluuebunny/crossref_metadata_2025 huggingface dataset:
Inflammatory Monocytes Are Rapidly Recruited to the Post Ischaemic Liver in Patients Undergoing Liver Transplantation and Cytokines Associated with Their Activation Correlate with Graft Outcomes
Authors: Robertson Francis , Cuff Antonia O , Male Victoria , Wright Graham P , Pallett Laura J. , Fuller Barry , Davidson Brian
Published: November 2024

Liver ischaemia-reperfusion (IR) injury remains a major cause of morbidity and mortality following liver transplantation and resection. CD4+ T cells have been shown to play a key role in murine models however there is currently a lack of data to support their role in human patients.

Methods:
Data on clinical outcomes and complications were documented prospectively in 28 patients undergoing first elective liver transplant surgery. Peripheral blood samples were collected at baseline (pre-op), 2 hours post graft reperfusion, immediately post-op and at 24 hours post-op. A post reperfusion biopsy was analysed in all patients and in 5 patients a donor liver biopsy was available pre-implantation. Circulating cytokines were measured and T cells were analysed for activation markers and cytokine production.

Results:
Circulating levels of cytokines associated with innate immune cell recruitment and activation were significantly elevated in the peri-transplant period. High circulating IL-10 levels corresponded with the development of graft-specific complications. The proportion of CD4+ T cells in the peripheral circulation fell throughout the peri-operative period suggesting CD4+ T cell recruitment to the graft. Although TNF was the predominant cytokine produced by CD4+ T cells in the intra-hepatic environment, production of IFN was significantly upregulated by circulating CD4+ T cells. Furthermore we demonstrated clear recruitment of inflammatory monocytes in the peri-operative period. In donor and recipient pairs with a mismatch at the HLA-A2 or A3 allele we demonstrated that inflammatory monocytes in the liver are recipient-derived.

Discussion:
This is the first study to our knowledge to track early immune cell responses in humans undergoing liver transplantation. The recruitment of inflammatory monocytes from the recipient and their cytokine release is associated liver specific complications. Inflammatory monocytes would be an attractive target to ameliorate ischaemia reperfusion injury.
Chemical Bonding and Dynamic Structural Fluxionality of a Boron-Based B8Al3+ Cluster
Authors: Gao Shu-Juan , Yu Tan-Lai
Published: November 2024

We studied the boron-based composite cluster B8Al3+ doped with Al atoms. The global minimum structure of the B8Al3+ cluster is a three-layer structure, consisting of three parts: Al2 unit, B8 ring and isolated Al atom. Charge calculations analysis shows that the cluster can be expressed as [Al]+[B8]2−[Al2]2+, has 6/6 double aromaticity, and follows the (4n+2) Hückel rule. Born–Oppenheimer molecular dynamics (BOMD) simulation shows that, B8Al3+ cluster has dynamic fluxionality properties. Remarkably, at the single-point CCSD(T) level, the energy barrier for intramolecular rotation is merely 0.19 kcal mol−1. [B8]2− molecular wheels has magical 6/6 double aromaticity properties, providing a continuous cloud of delocalized electrons, which is a key factor in the dynamic fluxionality of the cluster. The B8Al3+ cluster provides a new example of dynamic structural fluxionality in molecular systems.
Adsorption of pure CO2 on shales from the Middle Magdalena Valley Basin in Colombia
Authors: Acevedo Acosta Valentina , Ortiz Cancino Olga Patricia , David Bessieres
Published: November 2024

CO2 injection is considered as an alternative method for recovering shale gas and storing CO2 permanently into the geological trap. To better understand this field, an experimental study was carried out using shale samples from the Middle Magdalena Valley Basin in Colombia to investigate the adsorption mechanism of CO2 on shales. The effect of mineral composition, total organic carbon (TOC) content and thermal maturity on CO2 adsorption capacity has been discussed. The exper-iments were carried out using the manometric method to measure the excess sorption isotherms of CO2 at 50°C and pressures up to 3.5 MPa. The results indicate that the effect of clay minerals is not very significant in the adsorption of CO2; TOC has a major contribution to the adsorption uptake. In addition, a conclusive effect of maturity needs further measurements.
Predictive and Cross-Validation Analysis of Aerobic and Anaerobic Performance Based on Maximum Strength
Authors: Sá Filho Alberto Souza , Inacio Pedro Augusto , Aprigliano Vicente , Leonardo Patricia Sardinha , Oliveira-Silva Iransé , Cunha Raphael Martins , Chiappa Gaspar Rogério , Fajemiroye James Oluwagbamigbe , Vieira Rodolfo de Paula , Lopes-Martins Rodrigo Alvaro Brandão , Sales Marcelo Magalhães
Published: November 2024

The objective was to establish the capacity of absolute maximum strength and relative to body mass (BM) in the Deadlift (DL) and Squat (SQ) exercises to estimate the maximum anaerobic running performance (MART) and maximum aerobic power (VPeak), among individuals stratified into high (HS) vs. low strength score (LS). The sum of workloads (DL+SQ) was also analyzed and cross-validation was tested. Thirty-four students performed 5 visits in the first phase. In the first three visits were performed: sample characterization and consistency analysis of the maximum repetition (RM) for DL and SQ. Participants were stratified based on DL and SQ relativized by BM (DL/BM and SQ/BM). In the last two visits, MART and VPeak were tested. Linear regression for HS participants was not predicting MART for all strength measures. In contrast, the regressive model was significant for DL (R2=0.482; p=0.002), DL/BM (R2=0.764; p<0.001), SQ (R2=0.357; p=0.011) and SQ/BM (R2=0.644; p<0.001) in LS participants, compared to MART performance. For VPeak, linear regression also did not demonstrate an association for all strength measures in HS participants. However, SQ (R2=0.309; p=0.021), DL/BM (R2=0.343; p=0.013) and SQ/BM (R2=0.618; p<0.001), they were able to predict VPeak. The prediction from the sum of the DL+SQ produced an association for MART (R2=0.451; p=0.003) and VPeak (R2=0.273; p=0.031) in LS participants. In the second phase of the study, 17 participants performed cross-validation by testing the prediction equations. The same methodological procedures were performed for this phase, but only LS participants were tested. The Wilcoxon test compared real MART vs. predicted for DL (p=0.02) and SQ (p=0.043), showing differences, but not for DL/BM (p=0.051) and SQ/BM (p=0.093). Wilcoxon also showed differences for real VPeak vs. predicted for DL/BM (p=0.002), SQ (p=0.019) and SQ/BM (p=0.05). The MART predictive equation based on the DL+SQ did not show differences (p=0.148), but the same did not occur for VPeak based on the DL+SQ (p=0.008). Maximum strength did not show predictive capacity in HS participants. However, it was significant for LS participants. DL showed greater predictive prominence for MART. In contrast, for VPeak, SQ/BM satisfactorily explained the variations in running performance (61%). The predictive equations of MART by DL/BM and SQ/BM were shown to be accurate, as well as, DL+SQ to predict MART.
Exploring Outer Surface Protein A from Borrelia afzelii: Cloning, Expression, and Characterization for Zoonotic Disease Research
Authors: Nik Kamarudin Nik Abdul Aziz , Mawang Christina Injan , Mohamed Zahidi Jama’ayah , Mustaffa Khairul Mohd Fadzli , Ahamad Mariana
Published: November 2024

Lyme disease (LD), caused by Borrelia burgdorferi sensu lato, is transmitted through the bite of infected ticks. Outer surface protein A (OspA) is a major lipoprotein expressed by Borrelia species, playing a critical role in the colonization of the tick midgut. OspA is a key target in diagnostic and vaccine development due to its conserved nature across Borrelia species. This study focuses on the expression and characterization of soluble recombinant OspA protein from Borrelia afzelii in the Escherichia coli expression system and its subsequent purification and functionality evaluation. The OspA gene from B. afzelii strain BO23 was cloned into the pET-28a(+) expression vector and transformed into E. coli BL21 Star (DE3) cells. Protein expression was induced under various growth conditions, including differing induction times, media types (Luria broth and 2xYT), and glucose concentrations. Optimization efforts centered on enhancing the yield of soluble OspA. Protein purification was carried out using a HisTrap column, and the purified protein's reactivity was assessed via Western blot using commercial OspA monoclonal antibodies. The optimal conditions for OspA expression were determined to be five hours of induction with 0.5 mM isopropyl β-d-1-thiogalactopyranoside (IPTG) in LB broth supplemented with 0.2% glucose, at 37°C. This has resulted in high yields of soluble OspA (12 mg/mL). Purified OspA demonstrated strong immuno reactivity to anti-OspA monoclonal antibodies, confirming its ability to bind to active epitope of OspA protein. This study successfully optimized the expression and purification of functional OspA in E. coli, providing a valuable resource for further Lyme disease research, including diagnostics and vaccine development.
Real-Time Query Management for Large Scale Online Classes
Authors: Bijlani Kamal , Sunil Sreya , Asokan Navabhaarathi , Dharshan SP Saran , E Vigneshwar , Aadhithya A Aadharsh
Published: November 2024

This study introduces an AI-driven approach for real-time query management and FAQ generation, addressing the challenges of scalability and immediate responsiveness in large-scale online learning environments. The proposed solution includes a sophisticated student query-handling pipeline designed to enhance the platform’s responsiveness and scalability. This is achieved by embedding course material into a high-dimensional vector space, organizing it through topic clustering, and constructing an FAQ database pre-validated by instructors. During live sessions, student queries are embedded and evaluated against the FAQ knowledge base using a dissimilarity metric. Queries that exceed a predefined dissimilarity threshold are escalated to instructors, while those with lower dissimilarity are addressed by a Retrieval-Augmented Generation (RAG) model optimized to ensure minimal latency and high accuracy in real-time responses.
A Novel Vaccine for Bovine Diarrhea Complex Utilizing Recombinant enterotoxigenic Escherichia coli and Salmonella Expressing Surface-Displayed Chimeric Antigens from Enterohemorrhagic Escherichia coli O157:H7
Authors: Ramírez Hernán , Vilte Daniel A. , Hozbor Daniela , Zurita Eugenia , Bottero Daniela , Casabonne María C , Cataldi Angel A , Wigdorovitz Andrés , Larzábal Mariano
Published: November 2024

Enterohemorrhagic Escherichia coli (EHEC) O157:H7, primarily found in cattle, is a zoonotic pathogen associated with Hemolytic Uremic Syndrome (HUS) in humans that is typically transmitted through contaminated food. Among its many virulence factors, the Type Three Secretion System (T3SS) is responsible for gut colonization. Neonatal calf diarrhea (NCD), in contrast, is primarily caused by pathogens such as enterotoxigenic Escherichia coli (ETEC), Salmonella spp, Bovine Coronavirus (BCoV) and Bovine Rotavirus type A (BRoVA). In this study, we engineered and expressed a chimeric protein combining EspB and Int280γ—two key components of the T3SS—in the membrane of Salmonella dublin and ETEC. We confirmed successful membrane anchorage, stability and preservation of the chimera and assessed its immunogenicity in murine and guinea pig models. Immune response evaluations showed that combining recombinant bacteria did not enhance immunogenicity, indicating either bacterium could be effective in a single formulation. Chimeric expression achieved equivalent immunogenicity to 10 µg of recombinant chimera protein, with similar antibody titers across doses, indicating that a single vaccination may suffice. IgG1 and IgG2a levels, along with Th1, Th2, and Th17 markers, suggest a mixed immune response, providing broad humoral and cellular protection. Additionally, the immune response to BCoV, BRoVA, ETEC and Salmonella antigens remained high and showed no interference with the chimera-specific responses, which could enhance the overall efficacy of an NCD vaccine. The results underscore the robust immunogenicity of the chimera, supporting its potential as a commercially viable and effective vaccine candidate against EHEC O157:H7. This strategy could enhance the valency of NCD vaccines by offering broader protection against calf diarrhea and contribute to public health by reducing the risk of HUS transmission from cattle to humans.
Role of Hypoxia Associated LncRNA in Cancer Chemotherapy Resistance
Authors: Elahi Muhammad Affan , Tariq Aamira , Malik Ambrin , Zhra Mahmoud
Published: November 2024

Hypoxia is a well-known characteristic of the tumor microenvironment that significantly influences cancer development and is closely linked to unfavorable outcomes. Long noncoding RNAs (lncRNAs), which are part of the noncoding genome, have garnered increasing attention because of their varied functions in the tumor metastasis. Long noncoding RNAs (lncRNAs) are defined as noncoding RNAs that are longer than 200 nucleotides. LncRNAs are regulators of diverse cellular processes by modulating gene expression at transcriptional, post-transcriptional and epigenetic level. Hypoxia is a well-established environmental factor that enhances the metastasis of solid tumors. Epithelial-mesenchymal transition (EMT) represents one of the key mechanisms triggered by hypoxia that contributes to metastasis. Numerous lncRNAs have been identified as being upregulated by hypoxia. These lncRNA significantly contributes towards cancer cells migration, invasion and metastasis. Recent studies have identified a crucial role of these hypoxia induced lncRNA towards chemotherapy resistance. These hypoxia related lncRNAs can be plausible therapeutic targets for devising effective cancer therapies.
Verification of Spatial Heterodyne Spectral Velocimetry Technology Based on Solar Spectrum
Authors: Peng Xiang , Gu Mu , Li Sujun , Ren Qifeng , Zhao Rujin
Published: November 2024

Deep space exploration is one of the key development directions in aerospace field. With the significant increase of detection distance, the traditional space exploration methods may be ineffective by effects such as signal energy attenuation and channel delay. There is an urgent need for a miniaturized, quasi real time, high-precision space velocity measurement instrument to be mounted on deep space aircraft and providing autonomous navigation. Spatial heterodyne spectral velocimetry technology is a newly proposed high-precision velocimetry method in recent years, and relevant research units have also obtained excellent measurement results in applications. However, this technology originally used laser light sources for active detection, which differs from the passive detection based on stellar light sources required for deep space vehicles in terms of prerequisites. Therefore, this article focuses on the technical route and feasibility exploration of using spatial heterodyne spectral velocimetry technology for stellar absorption spectrum, and proposes a practical measurement scheme based on the technical principle of background light synchronous cancellation method. With measured the radial velocity difference caused by the sun's rotation at different positions on the solar image plane through outside validation experiments built in a simulated environment on the ground. The experimental results indicate that, under the current stability conditions of ground-based solar observation, we have achieved the same level measurement accuracy as large ground-based telescopes by using instruments and equipment much smaller size. It can be considered that the spatial heterodyne spectral velocity measurement scheme proposed in this article has achieved feasibility verification based on stellar spectral detection capability under the premise of instrument miniaturization and quasi real-time processing. The research content provides a preliminary verification for the development of spatial heterodyne spectral velocimetry technology in the aerospace field, and also provides reference for the realization of high-precision autonomous navigation capability in the future aerospace technology.
Linkage Mapping Revealed Non Association of the Green Revolution Genes (Rht1 and Rht2) with Drought Tolerance in Wheat (Triticum aestivum)
Authors: Vikram Prashant , Goel Sonia , Gupta Priyanka , Mohan Amita , Rawale Kanwardeep Singh , Sehgal Deepmala , Singh Nitesh , Sharma Manoj Kumar , Singh Anuradha , Singh Sanjay , Singh Sukhwinder , Babu Prashanth
Published: November 2024

Impact of the green revolution genes on rice and wheat productivity under rainfed environments has been debated since past few decades. Here we made an attempt to assess the impact of two major green revolution genes Rht B1 and Rht D1 on grain yield under drought stress. A total of four recombinant inbred line (RIL) populations were analyzed for this objective including PBW343 × Muu, PBW343 × Kingbird, PBW343 × Kenyaswara and Jal 95.4.3 × Kachu/Kiritati/Kachu. These populations segregated for either or both the Rht gene alleles. Our results revealed an invariable non-association of tall/ dwarf alleles of Rht B1 and Rht D1 genes with grain yield under drought stress. Tightly linked sequence tags with Rht and Vrn genes were identified for future application in wheat breeding. A genetic linkage map of 1170 DArt-seq markers covering 2870 cM was constructed in Jal 95.4.3 × Ka-chu/Kiritati/Kachu RIL population and QTLs for yield related traits were identified. Study provides an insight for researchers involved in developing the next generation climate resilient wheat varieties that can cope well with rainfed/ drought prone en-vironments.
Feeling the Heat: A Thermodynamic Perspective on Emotions, Motivation, and Time Perception
Authors: Deli Eva , Schoeller Felix , Safron Adam , Jain Abhinandan , Tozzi Arturo , Adrien Vladimir , Reggente Nicco
Published: November 2024

We are introducing a novel thermodynamic emotion model. In this model, emotions are regarded as deviations from equilibrium, akin to fluctuations in body temperature. This bipolar regulation maintains bodily and psychological homeostasis while spurring mental development. Emotional regulation typically occurs through expanding one's perception of time. Positive, low-information content emotions can reduce action drive, but stressful, information-rich conditions can heighten it. However, action accelerates time perception to facilitate fluid action performance, where a unique state of contentment and challenge represents flow. Therefore, time perception can control emotions’ capacity to control motivation. By anchoring psychological processes to the principles of energy and entropy, our model offers a comprehensive bipolar foundation for understanding motivation and behavior. Beyond its theoretical implications, this model also lays the groundwork for addressing mental health conditions resulting from the dysregulation of emotions. It can inspire potential interventions to harness the mind-body connections elucidated in our thermodynamic perspective.
Honey Robbing: Causes, Impacts and Preventive Measure
Authors: Wang Xinyu , Huang Ting , Ji Quanzhi , Guo Jun , Zhao Yazhou
Published: November 2024

Honey robbing, which typically occurs during times of food scarcity, is a perilous foraging strategy for bee colonies and presents a formidable challenge in the realm of beekeeping. This article provides a comprehensive and multifaceted exploration of honey robbing, including the morphology, behavioral traits, timing, and scope of this phenomenon. This exploration elucidates the specific manifestations of honey robbing, offering readers a deeper understanding of its various facets. Next, this article investigates the root causes of honey robbing by examining both abiotic and biotic factors. The resulting harms are outlined, and corresponding preventive and control measures are suggested. Finally, the article succinctly summarizes the current obstacles in research related to honey robbing and outlines promising avenues for future exploration. The objective of this study was to elucidate the occurrence mechanism of honey robbing, ultimately aiming to contribute to the sustainable growth of the beekeeping industry.
Short Take: Investigating the Efficacy and Toxicity of Rejuvenation Interventions
Authors: Palmer Daniel , Avelar Roberto A. , Fruijtier Claudia , Fuellen Georg
Published: November 2024

This study investigates the potential risks and mechanisms of action of rejuvenation therapies, focusing on metformin and partial reprogramming, using an integrative approach that combines gene expression, protein interaction networks, and toxicological annotations.
Blockchain Applications in the Military Domain: A Systematic Review
Authors: Kostopoulos Nikos , Stamatiou Yannis C. , Halkiopoulos Constantinos , Antonopoulou Hera
Published: November 2024

Background: Blockchain technology can be transformative in military operations, increasing security, transparency, and gaining efficiency. It addresses many of the problems related to data security, privacy, communication, and supply chain management. Those aspects that have been most researched are its integration with emerging technologies, such as artificial intelligence, IoT, application in unmanned aerial vehicles, and secure communications; Methods: A systematic review of 43 peer-reviewed articles was performed to find out the applications of blockchain in defense. Key areas analyzed include the role of blockchain in securing communications, fostering transparency, promoting real-time data sharing, and using smart contracts for maintenance management. Challenges were assessed, including scalability, interoperability, and integration with the legacy system, alongside possible solutions, such as sharding and optimized consensus mechanisms; Results: In the case of blockchain, great potential benefits were shown in enhancing military operations, including secure communication, immutable record-keeping, and real-time integration of data with IoT and AI. Smart contracts optimized resource allocation and reduced maintenance procedures. However, challenges remain, such as in scalability, interoperability, and high energy requirements. Proposed solutions like sharding and hybrid architecture show promise to address these issues; Conclusions: Blockchain is set to revolutionize the efficiency and security of the military. Its potential is huge, but it must overcome issues of scalability, interoperability, and integration. Further research and strategic adoption will thus allow blockchain to become one of the cornerstones of future military operations.
In-situ Tracking of Nanoparticles during Electrophoresis in Hydrogels using a Fiber-based UV-Vis System
Authors: Barasinski Matthäus , Jasper Valentin , Görke Marion , Garnweitner Georg
Published: November 2024

Gel electrophoresis is a powerful method for the separation of nanoparticulate suspensions into several fractions with distinct particle properties. To monitor particle migration through the three-dimensional net structure of the gel and gain insights about the separation process, this study introduces a self-designed fiber-based UV-Vis measurement system equipped with five probes for the sequential in-situ recording of absorption spectra. The system was employed to investigate the migration and separation of Au and Fe3O4 particles within hydrogels of varying agarose concentrations (0.15 – 0.50 wt.-%), revealing an increase in scattering with higher agarose content. The identification of specific particle fractions with a spherical or rod-shaped morphology was successfully achieved within the gels, due to characteristic absorption peaks allowing real-time observation of particle separation. For the separation of a binary mixture, an adequate migration distance is needed according to the difference in electrophoretic mobility of the two samples. The particle tracking and an additional mathematical deconvolution allowed the analysis of mixed particle samples within the gel, so that their weight ratio could be determined. Finally, the system was calibrated for a determination of the particle concentration within the gel matrix quantitatively revealing the particle concentration at a specific point in the gel.
The Influence of Including Goalkeepers On The Intensity Demands Of Walking Football Practice
Authors: Costa Júlio A. , Coelho César André , Ferraz António , Brito João , Guilherme José , Seabra André , Travassos Bruno , Folgado Hugo , Gonçalves Bruno
Published: November 2024

This study examined the effects of playing walking football with and without a goalkeeper (GK) on physiological, physical, technical, and perceptual variables in older men. Twenty participants (67 ± 4.7 years) engaged in two 5 vs. 5 walking football sessions: one WITH-GK and one WITH-OUT-GK, using a randomized crossover design. Heart rate (HR), distance covered, technical ac-tions, perceived exercise intensity, and enjoyment were measured. Results showed significantly higher average HR (131 bpm vs. 123 bpm, p < .001), %HRmax (79% vs. 74%, p < .001), and time in higher HR zones (>80%HRmax, p < .05) in the WITH-GK condition. Participants also covered more total distance in the WITH-GK condition (1123 m vs. 1083 m, p < .001), particularly at speeds above 4 km/h (834 m vs. 781 m, p < .001). Conversely, more passes were made in the WITHOUT-GK condition (20 vs. 16 passes, p < .001), while the WITH-GK condition showed more shots (2 vs. 1, p < .001). Perceived exercise intensity was slightly higher in the WITH-OUT-GK condition (5 vs. 4, p = .01), though enjoyment levels were similar, with a slight preference for WITHOUT-GK. Overall, playing WITHOUT-GK provides a safer, lower-intensity alternative to WITH-GK, reducing physical strain while maintaining enjoyment. This makes WITHOUT-GK particularly suitable for older adults or individuals with health conditions, promoting partici-pation and rehabilitation with minimized risks.
Associative Memory and Memory Complaints in People with First Episode of Depression: Use of the Face-Name Associative Memory Exam (FNAME)
Authors: Rubiño José Ángel , Martín-Reina Aida , Nicolau M. Cristina , Canellas Francesca , Flores-Vazquez Juan Francisco Francisco , Enriquez-Geppert Stefanie , Andrés Pilar
Published: November 2024

Major depressive disorder (MDD) can lead to cognitive dysfunction. The objective is to assess associative episodic memory and subjective memory complaints in daily life in people with a first episode of depression (FED). Analytical observational design. Fifteen patients with FED mean age 50.20 (8.04) years and 15 healthy control (HCtrl) mean age 45.07 (8.64) years participants, both middle-aged adults, were assessed. The recruitment was from Mental Health Units in Mallorca, and this lasted between March 2021 to October 2022. DSM-5® diagnostic criteria and the Interna-tional Neuropsychiatric Interview (MINI) were used to diagnose depression. This study was an analytical, cross-sectional, prospective, observational design. The following cognitive tests were used for cognitive assessment: 1) an adapted version of the Face-Name Associative Memory Exam (FNAME-12A), 2) the daily life memory questionnaire (MFE-30), and 3) the Montreal Cognitive Assessment Test (MoCA). People with FED showed a mean score of 43.33 (25.40) compared to the HCtrl 19.66 (10.12) significantly higher scores (p = .05) on the MFE-30, but there were no significant differences in the FNAME. Furthermore, no significant correlations were observed between sub-jective (MFE-30) and objective (FNAME) memory performance. We observed a dissociation be-tween FED patients’ perception of memory difficulties and their objectively measured memory. These results support the idea that patients suffering from depression (even in the first episode) tend to overestimate their memory difficulties.
Effects of Therapeutic Interventions on Physical and Respiratory Functionality in Female Fibromyalgia Patients: A Cross-over Study
Authors: Rubio Zarapuz Alejandro , Apolo Arenas María Dolores , Carus Pablo Thomas , Tornero-Aguilera José Francisco , Clemente-Suarez Vicente Javier , Parraça Jose A.
Published: November 2024

Background/Objectives: Fibromyalgia is a chronic condition characterized by widespread pain, fatigue, and impaired physical functionality, significantly impacting patients' quality of life. This study aimed to evaluate and compare the effects of two therapeutic interventions—neuromodulation using the EXOPULSE Mollii suit and a structured exercise training program—on the physical and respiratory functionality of female fibromyalgia patients. Methods: A crossover randomized controlled trial was conducted with 10 female fibromyalgia patients (mean age: 51.6 ± 7.18 years). Participants underwent two interventions, each consisting of 16 sessions, with a two-week washout period between treatments. Neuromodulation sessions employed a standardized electrode configuration, while the exercise program included strength training and high-intensity interval training. Outcome measures included respiratory variables (FEV1, FEV6, FEV1/FEV6 ratio, chest perimeter differences) and functional tests (handgrip strength, chair stand, 10-meter up-and-go, and balance tests). Results: Both interventions improved physical and respiratory functionality. Significant gains in the chair stand test (neuromodulation: +6.7 repetitions; exercise: +3.86 repetitions) and FEV1/FEV6 ratio were observed. Neuromodulation yielded greater improvements in balance and handgrip strength, while the exercise intervention demonstrated superior effects on mobility and speed, as evidenced by the 10-meter up-and-go test (final time: neuromodulation 5.4 s vs. exercise 4.97 s). Conclusions: Both neuromodulation and structured exercise programs are effective non-pharmacological interventions for enhancing physical and respiratory functionality in fibromyalgia patients. The complementary effects observed suggest that integrating these therapies could provide a holistic approach to managing fibromyalgia symptoms and improving quality of life.
Biological Control of Streptomyces sp. PR69 Against Phytophthora capsici and Its Growth-Promoting Effects on Plants
Authors: López-Reyes Perla Karina , De la Torre-Zavala Susana , Cortés-González María Mercedes , Galán-Wong Luis Jesús , Avilés-Arnaut Hamlet
Published: November 2024

Actinomycetes are a group of bacteria that have been reported as potential controllers of several plant pathogens and as plant growth promoting agents. This study focused on the isolation of 60 actinobacterial strains from the Cuatro Cienegas Basin, Coahuila, Mexico, with an emphasis on evaluating their potential as biocontrol agents against plant pathogens. Among the strains tested, the isolate PR69 exhibited significant in vitro antagonistic activity against eight plant pathogens, with inhibition rates ranging from 44% to 73%, including Phytophthora capsici. The genome of PR69 was sequenced and assembled, confirming its classification as a member of the genus Streptomyces through a phylogenetic analysis based on concatenated multiple sequence alignments of 81 core bacterial genes. Additionally, volatile compounds produced by PR69 enhanced the growth of Arabidopsis thaliana seedlings in vitro, increasing seedling weight, primary root length, and the number of secondary roots. Furthermore, the soil treated with Streptomyces sp. PR69 effectively controlled the infection caused by the pathogen P. capsici in bell pepper plants, reducing disease symptoms by 50% compared to plants inoculated solely with the pathogen. PR69-treated plants also showed an increase in fresh weight compared to untreated controls. These findings suggest that Streptomyces sp. PR69 holds promise as a bioinoculant for promoting pepper plant growth and controlling P. capsici populations.
The Weather On Demand Framework
Authors: Rögnvaldsson Ólafur , Stanislawska Karolina , Hackerott João A.
Published: November 2024

This paper describes the Weather On Demand (WOD) forecasting framework which is a software stack used to run operational and on-demand weather forecasts.
The WOD framework is a distributed system for:
Running the WRF weather model for data-assimilation and forecasts by triggering either scheduled or on-demand jobs.
Gathering upstream weather forecasts and observations from a wide variety of sources.
Processing data for long to medium-term storage.
Making results available through APIs.
Making data files available to custom post-processors.
Much effort is put into starting processing as soon as the required data becomes available, and in parallel where possible.
In addition to being able to create short- to medium-range weather forecasts for any location on the globe, users are granted access to a plethora of both global and regional weather forecasts and observations, as well as seasonal outlooks from the National Oceanic and Atmospheric Admin-istration (NOAA) in the USA through WOD integrated APIs. All this information can be inte-grated with third party software solutions via the WOD APIs.
The software is maintained in Git and can be installed on suitable hardware, bringing the full flexibility and power of the WRF modelling system to the user in a matter of hours.
Antimicrobial Resistance of Staphylococcus and Enterococcus Bacteria in Rural Dogs in Hungary – a Preliminary Report
Authors: Baráth Ágnes Magdolna , Ombula Kimba Duncan , Abdalrahman Bawan Mustafa , Csivincsik Ágnes
Published: November 2024

Antimicrobial resistance (AMR) is one of the most relevant health challenges globally. Since resistant bacteria and their resistance genes circulate through the ecosystem, AMR is among the main focuses of One Health. Dogs are the best friends of humans, therefore their relationships with the owners are mostly very close. This connection can make the dogs vehicles of AMR between the environment and humans. Based on this hypothesis, we investigated faecal samples from 37 dogs in Inner Somogy, Hungary. We isolated and investigated for antibiotic susceptibility 21 and 6 strains of Staphylococcus and Enterococcus genera, respectively. Among staphylococci and enterococci, 12 and 3 strains proved to be resistant to at least one antibiotic. Multidrug resistant strains were detected only among coagulase negative staphylococci, mainly in S. sciuri species. The antibiotics that proved to be inefficient against the most strains were benzylpenicillin (8 strains), moxifloxacin (6 strains), clindamycin (5 S. sciuri strains), and fusidic acid (12 strains). In the case of moxifloxacin and fusidic acid, the MIC excessed the EUCAST clinical breakpoint. Analysing the epidemiological background of the animals, outdoors keeping and higher income level of the owners seemed risk factors of AMR carrying, though the sample size of this study could not confirm statistically the apparent interdependence.
Anticancer Activity of Plant Tocotrienols, Fucoxanthin, Fucoidan and Polyphenols in Dietary Supplements
Authors: Lara-Hernández Gabriel , Ramos-Silva José Alberto , Sánchez-Chapul Laura , Pérez-Soto Elvia , Andrade-Cabrera José Luis , Luna-Angulo Alexandra , Landa-Solís Carlos , Avilés-Arnaut Hamlet
Published: November 2024

Plants and algae harbor diverse molecules with antioxidant activity that have been demonstrated to directly inhibit the growth of cancer cells and alleviate the oxidative damage side effects of certain antitumor therapies. Although supplementation with antioxidants alone or in combination with chemotherapy has shown promise in improving quality of life, further investigation is needed into the effects of antioxidant combinations on specific cancer cell lines. In this study, the in vitro cytotoxic and apoptotic properties of plant/algae natural compounds and dietary supplements were investigated on various human cancer cell lines, including bone, leukemia, colorectal, breast and prostatic cancers. Apple polyphenols, fucoxanthin, and plant tocotrienols exhibited cytotoxic effects across all lines, with tocotrienols particularly potent, showing a low half- inhibitory concentration (IC50) in bone cancer cells (4.3 μg/mL). Analysis of dietary supplements 2.1, 4.0 and 10.0, revealed that supplement 10.0 exhibited specific cytotoxic activity against the TIB-223 bone cancer line, with an IC50 of 126 μg/mL. Both tocotrienols and supplement 10.0, induced morphological changes, inhibited cell migration (anti-metastatic activity), and promoted apoptosis in TIB-223 cells, as demonstrated by caspase 3/7 activation. These findings provide valuable insights for the development of specific dietary supplements to enhance the anticancer effect of traditional chemotherapies for certain cancer types.
The Role of Natural Language Processing in Streamlining Supply Chain Communication
Authors: Holloway Samuel
Published: November 2024

This study explores the transformative role of Natural Language Processing (NLP) in streamlining communication within supply chain management, a critical domain that demands precision, agility, and seamless coordination. With the growing complexities of global supply chains, the ability to manage vast amounts of data and ensure effective communication among stakeholders has become paramount. NLP has emerged as a pivotal technology, enabling organizations to automate repetitive tasks, enhance real-time communication, and gain valuable insights from unstructured data. This research highlights how NLP facilitates decision-making, strengthens supplier and customer relationships, and fosters cross-functional collaboration through its advanced capabilities in sentiment analysis and contextual understanding. By reducing communication silos and promoting multilingual interactions, NLP proves particularly advantageous for global operations, ensuring inclusivity and operational efficiency. The study also examines the integration of NLP with emerging technologies like artificial intelligence and machine learning, showcasing its potential in predictive analytics and intelligent automation. Despite its transformative benefits, the implementation of NLP faces challenges such as data quality issues, high costs, and the need for significant customization. Through a qualitative approach, this research provides insights into the practical applications of NLP in supply chains, analyzing its impact on operational processes, stakeholder engagement, and strategic planning. The findings underscore the dual nature of NLP as both a facilitator and a challenge, offering organizations substantial opportunities to innovate while highlighting the importance of strategic adoption. This study concludes that NLP is not merely a tool but a strategic enabler, poised to revolutionize supply chain communication in an increasingly digitalized world.
Optimizing Consultation Services Through Spiritual Guidance: Religious Counselors in Overcoming Religious Problems in Kudus Communities
Authors: Bastomi Hasan , Mundakir Akhmad
Published: November 2024

Optimizing Consultation Services Through Spiritual Guidance: Religious Counselors in Overcoming Religious Problems in Kudus Communities. This research aims to reveal religious counselors in overcoming religious problems in the Kudus community through consultation services. This research on religious instructors in overcoming religious problems in the Kudus community through consultation services was carried out using a qualitative approach with the type of field research with data collection techniques using Interview, Observation and Documentation techniques. The research subjects or informants in this research were religious instructors and the Kudus community. The results of the research show that the Optimization of Kudus Regency Religious Extension Consultation Services in the Development of the Islamic Community is carried out in the form of spiritual counseling to the assisted communities to help them overcome spiritual crises, moral conflicts, or questions about religious beliefs in the Kudus community. For further research, it is recommended to explore more deeply the various factors that influence the effectiveness of spiritual guidance, such as the counselor's educational background, the approach used, and institutional support.
Keywords: Optimization, Consultation Services, Religious Counselors, Religious Problems, Kudus Society
Döngüsel Ekonomi Yaklaşımıyla Sağlık Sektöründe Atık Yönetiminin Dönüşümü: Politika ve Uygulama Önerileri
Authors: Sayan İlknur
Published: November 2024

Bu çalışma, döngüsel ekonomi (DE) yaklaşımının sağlık sektöründeki atık yönetimi uygulamalarına entegrasyonunu ve bu entegrasyonun politika ve uygulama düzeylerinde yaratabileceği potansiyel dönüşümleri derinlemesine incelemeyi amaçlamaktadır. 2014-2024 yılları arasındaki ulusal ve uluslararası literatürdeki pek çok çalışmayı derleyen bu araştırma, DE prensiplerinin sağlık sektöründeki atık yönetimi politikaları ve uygulamalarına başarıyla nasıl entegre edilebileceğini, bu entegrasyonun sağlık sektörüne özgü atık yönetimi üzerindeki etkilerini ve yenilikçi uygulama önerilerini çok boyutlu bir perspektiften değerlendirmektedir. Sağlık sektöründe DE prensiplerinin uygulanmasının, atık miktarının azaltılması, kaynak verimliliğinin artırılması ve çevresel sürdürülebilirliğin desteklenmesi gibi önemli faydalar sağlayabileceği gözler önüne serilmektedir. Çalışmanın temel amacı, sağlık sektöründe sürdürülebilirlik vizyonuyla uyumlu atık yönetimi uygulamalarını yeniden şekillendirerek, bu alanda somut dönüşümler yaratmak ve böylece sürdürülebilir kalkınma hedeflerine katkıda bulunmak için yasa yapıcılarda ve sağlık kurumları yöneticilerinde bir farkındalık yaratmaktır. Önerilen dönüşümlerin başarıyla uygulanabilmesi için, multidisipliner iş birlikleri ve tüm paydaşların aktif katılımı gerektiğine vurgu yapılarak sağlık sektöründe döngüsel ekonomiye geçiş sürecinde, atık yönetimi uygulamalarının sürdürülebilir bir şekilde iyileştirilmesine yönelik önemli bir farkındalık yaratılmak istenmektedir.
Research on the Development of an Intelligent Prediction Model for Blood Pressure Variability During Hemodialysis
Authors: Ren Zhijian , Zhang Minqiao , Wang Pingping , Chen Kanan , Wang Jing , Wu Lingping , Hong Yue , Qu Yihui , Luo Qun , Cai Kedan
Published: November 2024

Objective: Blood pressure fluctuations during dialysis, including intradialytic hypotension (IDH) and intradialytic hypertension (IDHTN), are coon complications among patients undergoing maintenance hemodialysis. Early prediction of IDH and IDHTN can help reduce the occurrence of these fluctuations. With the development of artificial intelligence, machine learning and deep learning models have become increasingly sophisticated in the field of hemodialysis. Utilizing machine learning to predict blood pressure fluctuations during dialysis has become a viable predictive method.
Methods: Our study included data from 67,524 hemodialysis sessions conducted at Ningbo No.2 Hospital and Xiangshan First People's Hospital from August 1, 2019, to Septeer 30, 2023. 47,053 sessions were used for model training and testing, while 20,471 sessions were used for external validation. We collected 45 features, including general information, vital signs, blood routine, blood biochemistry, and other relevant data. Data not meeting the inclusion criteria were excluded, and feature engineering was performed. The definitions of IDH and IDHTN were clarified, and 10 machine learning algorithms were used to build the models. For model development, the dialysis data were randomly split into a training set (80%) and a testing set (20%). To evaluate model performance, six metrics were used: accuracy, precision, recall, F1 score, ROC-AUC, and PR-AUC. Shapley Additive Explanation (SHAP) method was employed to identify eight key features, which were used to develop a clinical application utilizing the Streamlit framework.
Results: Statistical analysis showed that IDH occurred in 56.63% of hemodialysis sessions, while the incidence of IDHTN was 23.53%. Multiple machine learning models (e.g., CatBoost, RF) were developed to predict IDH and IDHTN events. XGBoost performed the best, achieving ROC-AUC scores of 0.89 for both IDH and IDHTN in internal validation, with PR-AUC scores of 0.95 and 0.78, and high accuracy, precision, recall, and F1 scores. The SHAP method identified pre-dialysis systolic blood pressure, BMI, and pre-dialysis mean arterial pressure as the top three important features. It has been translated into a convenient application for use in clinical settings.
Conclusion: Using machine learning models to predict IDH and IDHTN during hemodialysis is feasible and provides clinically reliable predictive performance. This can help timely implement interventions during hemodialysis to prevent problems, reduce blood pressure fluctuations during dialysis, and improve patient outcomes.
A study on a correction method for channel wave energy consistency under geophone-bolt coupling
Authors: Ji Guangzhong , Shi Lingyun , Zhang Yawei , XU Shuai , Liu Keyue
Published: November 2024

Channel wave seismic exploration is an important means to detect geological structure anomalies in coal seam working faces. The coupling of geophones has a great impact on channel waves. At present, the commonly used coupling method is to connect the geophone to a bolt outcrop. However, the coupling state between the bolt and coal wall can vary greatly, resulting in poor channel wave data consistency, thus affecting the imaging effect. At present, there are few studies on eliminating the effects of bolts. In addition, the excitation conditions of each shot are different, and the effects of shots also need to be eliminated. This article proposes an algorithm to eliminate the effects of geophone-bolt coupling and excitation conditions. An influence factor is set for the effect of each shot or each geophone on the channel wave, and a matrix equation is established for the data of all traces based on the channel wave attenuation formula. The overdetermined equation is solved to obtain the influence factor, which can be eliminated to obtain the true amplitude, thus achieving consistent correction of the channel wave energy. The algorithm is verified with theoretical data and achieves good results when using the field data, thus making up for the shortcomings of the current channel wave construction method.