bluuebunny/crossref_metadata_2025 huggingface dataset:
A Multiple-Cantilever Piezoelectric Vibration Energy Harvester for Self-Powered CO2 Monitoring in Transformer Substations
Authors: Chen Li , Zhang Min , Xu Zufeng , Chen Han , Xu Jiawen
Published: November 2024

The long-term CO2 emissions of transformer substations require constant monitoring. In this study, we propose a piezoelectric vibration energy harvester designed for self-powered CO2 monitoring of transformer substations. The proposed harvester comprises multiple slender piezoelectric cantilevers arranged in parallel, which results in a higher operational frequency and a significantly enhanced power output capability. Experimental investigations were conducted to assess the energy harvesting performance. The results show that the harvester can effectively capture the vibration energy, yielding an RMS power output of 2.99 mW, corresponding to the operational frequency of the transformer substation. Additionally, a wireless CO2 sensor node was developed, demonstrating an operational mechanism for CO2 monitoring. The capacitor takes approximately 1220 s to charge for the initial data measurement and transmission. The findings confirm that the energy harvester is capable of providing sufficient power to operate the sensor node for CO2 monitoring in transformer substations.
Mineral Powder Extraction by the Natural Drying of Water from the Public Springs in Borsec
Authors: Avram Simona Elena , Platon Denisa Viviana , Tudoran Lucian Barbu , Borodi Gheorghe , Petean Ioan
Published: November 2024

Borsec is one of the most important mineral water spa resorts in Romania and is also an important mineral water bottling facility. There are several public springs with significant mineral content. The present paper focuses on mineral powder extraction by the drying of water samples collected from springs no. 3, 5, 6, 10, and 11. These springs have a continuous flow being available for everyone who wants to fill a bottle; meanwhile, the rest of the water is discarded into the river. Thus, the dissolved ions such as Ca2+, Mg2+, Na+, and Cl− are wasted. This study aims to investigate the possibility of mineral content extraction as crystalline powder by drying. The dissolved ions’ reaction with carbonic acid generates carbonates which crystallize progressively with the water evaporation. Mineralogical investigation including X-ray diffraction (XRD) and polarized light optical microscopy (POM) reveal that calcite (rhombohedral and pseudo-hexagonal crystals of about 5–25 µm) is the dominant mineral followed by pseudo-dolomite (columnar crystals of about 5–20 µm), aragonite (rhombic and granular crystals of 2.5–15 µm), and natron (prismatic crystals of about 5–20 µm), in addition to small amounts of halite. Scanning electron microscopy (SEM) investigation combined with energy dispersive (EDS) elemental analysis indicates that traces of K are uniformly distributed in the calcite mass and some S traces for springs 3 and 11 are distributed predominantly into the pseudo-dolomite crystals. The crystalline germs precipitate from the supersaturated solution via homogeneous germination and progressively grow. The latest stage is characterized by the formation of a dendritic crust of calcite mixed with halite that embeds the individually grown crystals. The amount of the formed crystals strongly depends on the water’s total dissolved solids (TDS) and salinity: the springs with high TDS and salinity form a large number of crystals and spectacular dendritic crusts such as spring 10 followed by springs 6 and 5. Lower mineralization was observed in springs 3 and 5, which was related with the S traces. Also, it is evident that mineralization is seasonally dependent: the mineral amount was lower in November 2023 than for the samples collected in March 2024. The obtained mineral powder might be used for spa baths or for the electrolytic balance regulation in dietary supplements due to the high calcium and magnesium content.
Interpreting CNN-RNN Hybrid Model-Based Ensemble Learning with Explainable Artificial Intelligence to Predict the Performance of Li-Ion Batteries in Drone Flights
Authors: Ersöz Betül , Oyucu Saadin , Aksöz Ahmet , Sağıroğlu Şeref , Biçer Emre
Published: November 2024

Li-ion batteries are important in modern technology, especially for drones, due to their high energy density, long cycle life, and lightweight properties. Predicting their performance is crucial for enhancing drone flight safety, optimizing operations, and reducing costs. This involves using advanced techniques like machine learning (e.g., Convolutional Neural Network-CNNs, Recurrent Neural Network-RNNs), statistical modeling (e.g., Kalman Filtering), and explainable AI (e.g., SHAP, LIME, PDP) to forecast battery behavior, extend battery life, and improve drone efficiency. The study aims to develop a CNN-RNN-based ensemble model, enhanced with explainable AI, to predict key battery metrics during drone flights. The model’s predictions will aid in enhancing battery performance via continuous, data-driven monitoring, improve drone safety, optimize operations, and reduce greenhouse gas emissions through advanced recycling methods. In the present study, comparisons are made for the behaviors of two different drone Li-ion batteries, numbered 92 and 129. The ensemble model in Drone 92 showed the best performance with MAE (0.00032), RMSE (0.00067), and R2 (0.98665) scores. Similarly, the ensemble model in Drone 129 showed the best performance with MAE (0.00030), RMSE (0.00044), and R2 (0.98094) performance metrics. Similar performance results are obtained in the two predictions. However, drone 129 has a minimally lower error rate. When the Partial Dependence Plots results, which are one of the explainable AI (XAI) techniques, are interpreted with the decision tree algorithm, the effect of the Current (A) value on the model estimations in both drone flights is quite evident. When the current value is around −4, the model is more sensitive and shows more changes. This study will establish benchmarks for future research and foster advancements in drone and battery technologies through extensive testing.
Discovery of N-Aryl-Benzimidazolone Analogs as Novel Potential HSP90 Inhibitors: A Computational Approach
Authors: Mazri Radhia , Bourougaa Lotfi , Zekri Afaf , Ouassaf Mebarka , Alhatlani Bader Y.
Published: November 2024

This study aims to identify N-aryl-benzimidazolone analogs as potential inhibitors of the HSP90 protein, which is involved in various diseases. For this, we used computational techniques such as pharmacophoric modeling, virtual screening, in silico ADMET prediction, and molecular dynamics simulations. A target-based pharmacophore model (ADDRR) was developed from the MEY ligand to identify the main binding features. This model was used to screen approximately 30,994 similar compounds, leading to the identification of 3019 candidates. Among these, five compounds (L1, L2, L3, L4, and L5) showed strong binding affinity, with docking scores lower than the reference ligand MEY (−7.94 kcal/mol). The ADMET properties of these compounds were favorable, confirming their potential as drug candidates. The two top-performing compounds in the docking studies demonstrated high stability in dynamics studies, the results demonstrated remarkable stability of the ligand−protein complexes, as evidenced by favorable values of metrics such as RMSD, RMSF, Rg, and SASA. These findings provide a promising foundation for further experimental validation and the potential development of effective HSP90 inhibitors.
Obtaining Dissipative Kerr Solitons Deterministically Using Dual-Coupled Microresonators and a Simple Frequency Sweep
Authors: Calvo-Salcedo Andrés F. , González Neil Guerrero , Jaramillo-Villegas Jose A.
Published: November 2024

The reliable generation of dissipative Kerr solitons (DKSs) enables applications in communications, metrology, optical clocks, and, more recently, artificial intelligence. We show how single DKS can be generated by Si3N4 dual-coupled microring resonators (DCMs). We modeled this coupled structure using the Lugiato–Lefever equation (LLE), including mode interactions in the dispersion profile. We also characterized the pump power and detuning parameter space for several mode interaction strengths and frequencies, and we found parameters for which a DKS could be deterministically obtained using a single, adiabatic frequency sweep with a constant pump power. We demonstrated deterministic single DKS generation for this path by simulating 200 times with different random noise inputs. This result paves the way for reliable, inexpensive, and deterministic single DKS generation in a simple setup.
End-to-End Latency Optimization for Resilient Distributed Convolutional Neural Network Inference in Resource-Constrained Unmanned Aerial Vehicle Swarms
Authors: Kim Jeongho , Seon Joonho , Kim Soohyun , Lee Seongwoo , Kim Jinwook , Hwang Byungsun , Sun Youngghyu , Kim Jinyoung
Published: November 2024

An unmanned aerial vehicle (UAV) swarm has emerged as a powerful tool for mission execution in a variety of applications supported by deep neural networks (DNNs). In the context of UAV swarms, conventional methods for efficient data processing involve transmitting data to cloud and edge servers. However, these methods often face limitations in adapting to real-time applications due to the low latency of cloud-based approaches and weak mobility of edge-based approaches. In this paper, a new system called deep reinforcement learning-based resilient layer distribution (DRL-RLD) for distributed inference is designed to minimize end-to-end latency in UAV swarm, considering the resource constraints of UAVs. The proposed system dynamically allocates CNN layers based on UAV-to-UAV and UAV-to-ground communication links to minimize end-to-end latency. It can also enhance resilience to maintain mission continuity by reallocating layers when inoperable UAVs occur. The performance of the proposed system was verified through simulations in terms of latency compared to the comparison baselines, and its robustness was demonstrated in the presence of inoperable UAVs.
Hierarchical Residual Attention Network for Musical Instrument Recognition Using Scaled Multi-Spectrogram
Authors: Chen Rujia , Ghobakhlou Akbar , Narayanan Ajit
Published: November 2024

Musical instrument recognition is a relatively unexplored area of machine learning due to the need to analyze complex spatial–temporal audio features. Traditional methods using individual spectrograms, like STFT, Log-Mel, and MFCC, often miss the full range of features. Here, we propose a hierarchical residual attention network using a scaled combination of multiple spectrograms, including STFT, Log-Mel, MFCC, and CST features (Chroma, Spectral contrast, and Tonnetz), to create a comprehensive sound representation. This model enhances the focus on relevant spectrogram parts through attention mechanisms. Experimental results with the OpenMIC-2018 dataset show significant improvement in classification accuracy, especially with the “Magnified 1/4 Size” configuration. Future work will optimize CST feature scaling, explore advanced attention mechanisms, and apply the model to other audio tasks to assess its generalizability.
Evaluation of the Wachtel Healing Index and Its Correlation with Early Implantation Success or Failured at Two Months
Authors: Moya-Villaescusa María José , Sánchez-Pérez Arturo , Lara-Hernández Nerea , Jornet-García Alfonso , Montoya-Carralero José María
Published: November 2024

Implants are increasingly used in dentistry. Nevertheless, several factors can cause treatment failure. To assess initial wound healing, various indices have been developed. The purpose of this study was to assess the relationship between early wound healing and implant success. Fifty single implants (25 in women and 25 in men) were placed in patients meeting the inclusion criteria. The implants (Ticare®) were placed via the two-stage technique. Patients were assessed at 24 h, one week, one month, and two months post-implantation. At the final evaluation, implantation failure or success was recorded. Postoperative pain in these patients at one week after placement was assessed with a visual analogue scale (VAS), and the Wachtel soft tissue early healing index was used to measure healing. Two months after implant placement, the success rate was 92%. No statistically significant relationship was found between the Wachtel index and short-term implant success or failure. Additionally, there was no relationship between implant success or failure and variables such as smoking, diabetes status, age, sex, or guided bone regeneration (GBR). Neither the Wachtel index nor any of the other variables studied is a predictor of early implantation success.
Barriers to the Export of Farmed Pangasius and Tilapia from Bangladesh to the International Market: Evidence from Primary and Secondary Data
Authors: Alam Md. Mehedi , Haque Mohammad Mahfujul , Santi Morena
Published: November 2024

The rapid growth of pangasius and tilapia aquaculture has created export opportunities for Bangladesh; however, this industry is facing multiple barriers to becoming a competitive whitefish exporter in the international market. We analyzed a widely used conceptual framework and reviewed the available literature to unpack the barriers to pangasius and tilapia exports in mainstream global markets. Primary data were collected by interviewing 60 associated stakeholders to consolidate the research objectives. A meta-analysis of the literature and primary data revealed that pangasius and tilapia exporters face various internal (company and product barriers) and external (industry, market, and macroenvironment barriers) barriers. To overcome these barriers, the pangasius and tilapia industries need separate export-oriented policies and legislation to be developed by the competent authority, namely, the Department of Fisheries (DoF), which needs to provide common guidelines to meet international standards of aquaculture practices, food safety, quality, certification, and export markets. The DoF should ensure robust oversight through effective monitoring and surveillance mechanisms to implement the regulations and policies. Drawing insights from China and Vietnam’s experiences in responsible aquaculture practices, navigating export markets, and instituting aquaculture certification could provide invaluable lessons for Bangladesh. Using these lessons to overcome impediments could catalyze the flourishing of Bangladesh’s pangasius and tilapia sectors in the global whitefish market.
Biobank Digitalization: From Data Acquisition to Efficient Use
Authors: Bukreeva Anastasiia S. , Malsagova Kristina A. , Petrovskiy Denis V. , Butkova Tatiana V. , Nakhod Valeriya I. , Rudnev Vladimir R. , Izotov Alexander A. , Kaysheva Anna L.
Published: November 2024

Biobanks are involved in a broad range of studies, including both basic and clinical research, so their functions and roles are evolving. Digital biobanks have emerged due to digitalization in this field; however, it also entails an increasing number of ethical and legal issues, in particular those related to the protection of donor data and potential commercial applications. The development of biobanks and the size of stored datasets lay the groundwork for proceeding to digital biobanks that intensely employ artificial intelligence tools. Digital biobanks can simplify the search for and access to biological specimens, thus contributing to the conduction of research and creating new collaborations. They are becoming an increasingly important tool for personalized medicine and an individualized approach to disease treatment, contributing to the elaboration of more accurate diagnostic methods and the development of innovative therapeutic strategies.
Physiological Stress Response and Oxidative Status in Tambaqui (Colossoma macropomum) Fed Diets Supplemented with Selenium
Authors: Ferreira Celma Maria , Sinhorin Valéria Dornelles Gindri , Hoshiba Márcio Aquio , Abreu Janessa Sampaio de
Published: November 2024

The present study aimed to evaluate the physiological responses to transport stress in juvenile tambaqui (Colossoma macropomum) fed a diet supplemented with hydroxy-selenomethionine (OH-SeMet; Selisseo®, Adisseo) and determine through stress biomarkers whether selenium supplementation could reduce the impact of transport stress on tambaqui resilience. Juvenile fish (15.71 ± 1.90 g) were randomly distributed into five experimental groups; one fed a basal diet without inclusion of OH-SeMet (0.0 mg Se/kg) and four other groups fed supplemented diets with selenium in the form of OH-SeMet at concentrations of 0.3, 0.6, 0.9, and 1.2 mg Se/kg over 75 days. After this period, the fish were transported for 4 h in plastic bags (60 L), and sampling took place before transport (baseline), immediately after transport, and 24 h later. The effects of dietary OH-SeMet in tambaqui challenged by transport were studied in terms of antioxidative status (superoxide dismutase, catalase, glutathione peroxidase, glutathione s-transferase, and reduced glutathione); stress markers (serum cortisol, blood glucose, ionic and hematological parameters), and immunological status (respiratory burst activity and total protein, A/G ratio). Following transport, we observed an elevation in cortisol and blood glucose concentrations, accompanied by hemoconcentration, as evidenced by elevated hematocrit, erythrocyte count, hemoglobin concentration, and mean corpuscular hemoglobin concentration (MCHC). Additionally, there was a decrease in immune response, indicated by reduced respiratory activity of leukocytes and an osmotic imbalance, which culminated in hypochloremia, increased plasma protein concentration, and a rise in red blood cell volume, all of which were measured 24 h after the stressor was applied. Twenty-four hours after transport, the antioxidant defense system was activated, and no recovery of homeostasis was observed for most of the parameters analyzed. The dietary inclusion of selenium did not alleviate the hormonal, metabolic, hematological, and ionic changes caused by transport, but at a concentration of 0.9 mg Se/kg, it was able to increase the activity of enzymes related to oxidative stress (catalase and superoxide dismutase, mainly) in tambaqui juveniles submitted to this challenge.
Exploring Trimethylaminuria: Genetics and Molecular Mechanisms, Epidemiology, and Emerging Therapeutic Strategies
Authors: Sidoti Antonina , D’Angelo Rosalia , Castagnetti Andrea , Viciani Elisa , Scimone Concetta , Alibrandi Simona , Giannini Giuseppe
Published: November 2024

Trimethylaminuria (TMAU) is a rare metabolic syndrome caused by the accumulation of trimethylamine in the body, causing odor emissions similar to rotten fish in affected patients. This condition is determined by both genetic and environmental factors, especially gut dysbiosis. The multifactorial nature of this syndrome makes for a complex and multi-level diagnosis. To date, many aspects of this disease are still unclear. Recent research revealed the FMO3 haplotypes’ role on the enzyme’s catalytic activity. This could explain why patients showing only combined polymorphisms or heterozygous causative variants also manifest the TMAU phenotype. In addition, another research hypothesized that the behavioral disturbances showed by patients may be linked to gut microbiota alterations. Our review considers current knowledge about TMAU, clarifying its molecular aspects, the therapeutic approaches used to limit this condition, and the new therapies that are under study.
Hedgehog Signaling Pathway in Fibrosis and Targeted Therapies
Authors: Hu Yuchen , Peng Linrui , Zhuo Xinyu , Yang Chan , Zhang Yuwei
Published: November 2024

Hedgehog (Hh) signaling is a well-established developmental pathway; it is crucial for early embryogenesis, cell differentiation, and damage-driven regeneration. It is being increasingly recognized that dysregulated Hh signaling is also involved in fibrotic diseases, which are characterized by excessive extracellular matrix deposition that compromises tissue architecture and function. As in-depth insights into the mechanisms of Hh signaling are obtained, its complex involvement in fibrosis is gradually being illuminated. Notably, some Hh-targeted inhibitors are currently under exploration in preclinical and clinical trials as a means to prevent fibrosis progression. In this review, we provide a concise overview of the biological mechanisms involved in Hh signaling. We summarize the latest advances in our understanding of the roles of Hh signaling in fibrogenesis across the liver, kidneys, airways, and lungs, as well as other tissues and organs, with an emphasis on both the shared features and, more critically, the distinct functional variations observed across these tissues and organs. We thus highlight the context dependence of Hh signaling, as well as discuss the current status and the challenges of Hh-targeted therapies for fibrosis.
Structure and Dynamics of the Bacterial Flagellar Motor Complex
Authors: Nakamura Shuichi , Minamino Tohru
Published: November 2024

Many bacteria swim in liquids and move over solid surfaces by rotating flagella. The bacterial flagellum is a supramolecular protein complex that is composed of about 30 different flagellar proteins ranging from a few to tens of thousands. Despite structural and functional diversities of the flagella among motile bacteria, the flagellum commonly consists of a membrane-embedded rotary motor fueled by an ion motive force across the cytoplasmic membrane, a universal joint, and a helical propeller that extends several micrometers beyond the cell surface. The flagellar motor consists of a rotor and several stator units, each of which acts as a transmembrane ion channel complex that converts the ion flux through the channel into the mechanical work required for force generation. The rotor ring complex is equipped with a reversible gear that is regulated by chemotactic signal transduction pathways. As a result, bacteria can move to more desirable locations in response to environmental changes. Recent high-resolution structural analyses of flagella using cryo-electron microscopy have provided deep insights into the assembly, rotation, and directional switching mechanisms of the flagellar motor complex. In this review article, we describe the current understanding of the structure and dynamics of the bacterial flagellum.
Interleukin-27 and Autoimmune Disorders: A Compressive Review of Immunological Functions
Authors: Yazdanpanah Esmaeil , Pazoki Alireza , Dadfar Sepehr , Nemati Mohammad Hosein , Sajad Siadati Seyed Mohammad , Tarahomi Mahdieh , Orooji Niloufar , Haghmorad Dariush , Oksenych Valentyn
Published: November 2024

Autoimmune disorders (ADs) pose significant health and economic burdens globally, characterized by the body’s immune system mistakenly attacking its own tissues. While the precise mechanisms driving their development remain elusive, a combination of genetic predisposition(s) and environmental triggers is implicated. Interleukin-27 (IL-27), among numerous cytokines involved, has emerged as a key regulator, exhibiting dual roles in immune modulation. This review delves into the molecular structure and signaling mechanisms of IL-27, highlighting its diverse effects on various immune cells. Additionally, it explores the involvement of IL-27 in autoimmune diseases, such as multiple sclerosis (MS) and rheumatoid arthritis (RA), offering insights into its potential therapeutic implications. Moreover, its involvement in autoimmune diseases like type 1 diabetes (T1D), inflammatory bowel disease (IBD), myasthenia gravis (MG), Sjögren’s syndrome (SS), and Guillain-Barré syndrome (GBS) is multifaceted, with potential diagnostic and therapeutic implications across these conditions. Further research is essential to fully understand IL-27’s mechanisms of action and therapeutic potential in autoimmune diseases.
A 30-Min Exposure on Permethrin and Deltamethrin Modifies Ion Transport Pathways in the Skin
Authors: Szewczyk-Golec Karolina , Mądra-Gackowska Katarzyna , Szeleszczuk Łukasz , Szczegielniak Jan , Hołyńska-Iwan Iga
Published: November 2024

Pyrethroids are pesticides used in agriculture, the textile industry, wood processing, and human and animal medicine. Pyrethroids inhibit voltage-sensitive sodium channels (VSSCs) in insects and mammals. It results in the premature opening and/or delayed closing of the channels, causing a prolonged influx of Na+ ions into the cell. Insects absorb pyrethroids throughout the entire body surface, while poisoning in humans most often occurs by inhalation and through the skin. In this study, 52 fragments of human skin taken from the eyelid fold were examined. A modified Ussing chamber was used to measure the active ion transport in epithelial tissue and quantify the tissue viability and integrity. Both permethrin and deltamethrin solutions induced changes in the transport of ions, mainly sodium, but by different mechanisms. Permethrin affected the transepithelial transport of sodium ions in a long-term mechanism, while deltamethrin affected the ability to respond to stimuli in an immediate mechanism. Contact with deltamethrin may cause a delay/slowness of sensation, inflammation, hypersensitivity, and/or allergy. The action of permethrin takes place in the intercellular spaces and is associated with the possibility of faster decomposition/metabolism, while deltamethrin interacts with receptors, channels, and the cell membrane, which translates into slower decomposition and longer action in the tissue.
Advancing Brain MRI Image Classification: Integrating VGG16 and ResNet50 with a Multi-Verse Optimization Method
Authors: Sarshar Nazanin Tataei , Sadeghi Soroush , Kamsari Mohammadreza , Avazpour Mahrokh , Ghoushchi Saeid Jafarzadeh , Ranjbarzadeh Ramin
Published: November 2024

Background/Objectives: The accurate categorization of brain MRI images into tumor and non-tumor categories is essential for a prompt and effective diagnosis. This paper presents a novel methodology utilizing advanced Convolutional Neural Network (CNN) designs to tackle the complexity and unpredictability present in brain MRI data. Methods: The methodology commences with an extensive preparation phase that includes image resizing, grayscale conversion, Gaussian blurring, and the delineation of the brain region for preparing the MRI images for analysis. The Multi-verse Optimizer (MVO) is utilized to optimize data augmentation parameters and refine the configuration of trainable layers in VGG16 and ResNet50. The model’s generalization capabilities are significantly improved by the MVO’s ability to effectively balance computational cost and performance. Results: The amalgamation of VGG16 and ResNet50, further refined by the MVO, exhibits substantial enhancements in classification metrics. The MVO-optimized hybrid model demonstrates enhanced performance, exhibiting a well-calibrated balance between precision and recall, rendering it exceptionally trustworthy for medical diagnostic applications. Conclusions: The results highlight the effectiveness of MVO-optimized CNN models for classifying brain tumors in MRI data. Future investigations may examine the model’s applicability to multiclass issues and its validation in practical clinical environments.
The Role of Extracellular Vesicles in Liver Fibrosis: Friends or Foes?
Authors: Tao Xiang , Chen Can , Liu Mei
Published: November 2024

Liver fibrosis represents a common pathway in the progression of various chronic liver diseases towards cirrhosis and liver failure. Extracellular vesicles (EVs) are membrane-enclosed particles secreted by diverse cell types, including exosomes, microvesicles, apoptotic vesicles, and the recently identified migrasomes. These vesicles can be taken up by recipient cells, thereby modulating their function through the transport of cargo molecules. EVs facilitate intercellular communication and play a significant role in the development of liver fibrosis. Moreover, the detection of EVs in various body fluids offers sensitive diagnostic tools for assessing liver fibrosis. Additionally, EVs may serve as therapeutic targets, potential therapeutic agents, and drug delivery vehicles. This article reviews recent advances in the field of EVs concerning liver fibrosis and related diseases, with a particular focus on the potential role of the newly discovered migrasomes in intracellular crosstalk within the liver.
Kinematic and Aerodynamic Analysis of a Coccinella septempunctata Performing Banked Turns in Climbing Flight
Authors: Yang Lili , Fang Zhifei , Deng Huichao
Published: November 2024

Many Coccinella septempunctata flights, with their precise positioning capabilities, have provided rich inspiration for designing insect-styled micro air vehicles. However, researchers have not widely studied their flight ability. In particular, research on the maneuverability of Coccinella septempunctata using integrated kinematics and aerodynamics is scarce. Using three orthogonally positioned high-speed cameras, we captured the Coccinella septempunctata’s banking turns in the climbing flight in the laboratory. We used the measured wing kinematics in a Navier–Stokes solver to compute the aerodynamic forces acting on the insects in five cycles. Coccinella septempunctata can rapidly climb and turn during phototaxis or avoidance of predators. During banked turning in climbing flight, the translational part of the body, and the distance flown forward and upward, is much greater than the distance flown to the right. The rotational part of the body, through banking and manipulating the amplitude of the insect flapping angle, the stroke deviation angle, and the rotation angle, actively creates the asymmetrical lift and drag coefficients of the left and right wings to generate right turns. By implementing banked turns during the climbing flight, the insect can adjust its flight path more flexibly to both change direction and maintain or increase altitude, enabling it to effectively avoid obstacles or track moving targets, thereby saving energy to a certain extent. This strategy is highly beneficial for insects flying freely in complex environments.
Creativity and Mental Illness: A Case Study of a Patient with Progressive Bulbar Palsy
Authors: Geser Felix , Mitrovics Tibor C. G. , Obexer Laura , Streicher Peter , Haybaeck Johannes , Yilmazer-Hanke Deniz
Published: November 2024

Creativity and the production of artwork can have an impact on the course and treatment of comorbid severe mental illness and neurodegeneration. We report on a 70-year-old male patient with highly original artistic behavior, who suffered from lifelong recurrent major depression and subsequently developed symptoms of progressive bulbar palsy (PBP). In the context of a systematic literature review, we detail the patient’s personal and artistic biographies and portray artwork from his artistic portfolio together with his disease history, clinical examination, psychopathological and neuropsychological evaluations, blood and cerebrospinal fluid analyses, neuroimaging, neurophysiological testing, and psychotherapeutic treatment. The patient’s 1–2-year history of primarily bulbar motor symptoms and signs aligned with electromyography, showing widespread signs of continuing denervation/chronic neurogenic changes. Slight impairments in semantic fluency, executive control, and visuoconstructive abilities were observed in neuropsychological testing, in conjunction with right-sided medial temporal lobe atrophy in an MRI. He was prescribed medication, including extended-release venlafaxine, trazodone, pramipexole, and zolpidem, and took his medication regularly, usually at high doses. For most of his life, the patient had attributed professional “success” and artistic output to, at times, excessive alcohol consumption. Later, however, his interest in creative work continued despite alcohol reduction and cessation. Psychotherapy grounded him in reality via goal-centered behaviors, making him realize that his physical and mental ailments rather hindered his creative output. In summary, creative behavior can be utilized in the treatment of patients with psychiatric conditions (affective or addictive disorders) and/or neurodegenerative diseases. In the reported case, specific psychopharmacology and psychotherapy that address goal-directed self-efficacy experiences of reality were critical to the patient’s treatment.
Self-Control Buffers the Mortality Salience Effect on Fairness-Related Decision-Making
Authors: Li Wen , Guan Lili
Published: November 2024

Fairness-related decision-making often involves a conflict between egoistic and prosocial motives. Previous research based on Terror Management Theory (TMT) indicates that mortality salience can promote both selfish and prosocial behaviors, leaving its effect on fairness-related decision-making uncertain. This study integrates TMT with the strength model of self-control to investigate the effects of mortality salience on fairness-related decision-making and to examine the moderating role of dispositional self-control. Participants were primed with either mortality salience or negative affect and then asked to make a series of binary choices (equal allocation vs. unequal allocation favoring themselves) to distribute monetary resources. In both studies, mortality salience heightened selfish tendencies, leading to less equitable monetary allocation. Study 2 further revealed that this effect occurred among participants with low, but not high, self-control. These findings indicate that mortality salience promotes selfishness and inequitable monetary allocation, but that self-control can buffer these effects.
Optimization of Parameters of a Vertical Ground Heat Exchanger in a Geothermal Heating System
Authors: Jezierski Walery , Rynkowski Piotr
Published: November 2024

This study presents the results of an original study on the influence of selected parameters on the thermal efficiency of a vertical ground heat exchanger (VGHE) in a ground-source heat pump (GSHP) system. The research objective was an analysis of the specific thermal efficiency of a vertical ground heat exchanger q, received by a U-shaped element made of plastic pipes placed in a borehole, depending on seven direct influencing factors: the ground temperature Tg; the soil thermal conductivity coefficient λg; the thermal conductivity coefficient of the well material λm; the temperature of the heating medium (glycol) Tw at the feed to the ground heat exchanger and its flow rate M; the internal diameter of the pipes of the ground heat exchanger dw; and the distances between the external walls of the pipes of the ground heat exchanger L. The analysis was carried out for the climatic conditions of the Podlasie Voivodeship (Poland). Based on the results of the computational experiment obtained using the TRNSYS numerical environment, a deterministic mathematical model of this relationship was developed, and the effects of the influence of selected factors on the specific thermal efficiency q of the vertical ground heat exchanger, received by the U-shaped element, were analysed. Based on the model, the contribution of each parameter to the efficiency of the heat exchanger was determined. It turned out that changes in the values of the factors Tg (X1), λg (X2), λm (X3), M (X5), dw (X6) and L (X7) from the lower to the upper level caused an increase in the specific efficiency q of the heat exchanger by 34.04, 7.90, 15.20, 55.42, 6.58 and 24.26%. Only factor Tw (X4), with such a change, caused a decrease in the thermal efficiency of the tested heat exchanger by 44.22%. The parameters of the tested element of the geothermal heating system were also optimized according to the energy criterion using a numerical method in the Matlab environment. The information may be useful for scientists, designers, producers and consumers of heating systems based on heat pumps with a vertical ground heat exchanger as the lower heat source.
Effect of Fiber Type and Length on Strength, Fracture Energy, and Durability Properties of Microwave-Cured Fiber-Reinforced Geopolymer Mortars
Authors: Gultekin Adil
Published: November 2024

Microwave curing can be an alternative curing method for geopolymer production. Although many properties of microwave-cured geopolymer composites have been investigated, the effect of microwave curing on the strength and durability properties of fiber-reinforced geopolymers remains a topic that requires investigation. In this study, the effect of fiber type and length on the properties of microwave-cured metakaolin-based geopolymers was investigated. For this purpose, PVA (6, 12 mm) and polymer (15, 30 mm) fibers were utilized. Compressive and flexural strength, fracture energy, abrasion resistance, high-temperature resistance, water absorption capacity and rate of capillary water absorption tests were conducted and the microstructure was examined using scanning electron microscopy. For curing, a household microwave oven was used at a power level of 300 watts. With the fibers’ inclusion, fracture energies could be increased by up to 1150%, ductility was enhanced, flexural strengths were increased and compressive strengths decreased. Moreover, the rate of capillary water absorption decreased by up to 13%, while water absorption values increased by between 5% and 12%. The results suggested that microwave curing could be an alternative curing method for the production of fiber-reinforced geopolymer composites, offering shorter curing times and lower energy consumption.
Combined Cytokine Blockade Therapy (CCBT) Using Basiliximab and Infliximab for Treatment of Steroid-Refractory Graft-Versus-Host Disease (SR-GvHD)
Authors: Pourhassan Hoda , Nguyen Tina , Yang Dongyun , Otoukesh Salman , Arslan Shukaib , Blackmon Amanda , Agrawal Vaibhav , Amanam Idoroenyi , Ball Brian , Koller Paul , Salhotra Amandeep , Aribi Ahmed , Becker Pamela , Curtin Peter , Artz Andrew , Aldoss Ibrahim , Ali Haris , Stewart Forrest , Smith Eileen , Stein Anthony , Marcucci Guido , Forman Stephen J. , Nakamura Ryotaro , Al Malki Monzr M.
Published: November 2024

Background: The standard first-line treatment for acute graft-versus-host disease (aGvHD) is systemic, high-dose glucocorticoids which have historically had limited responses. Combined cytokine blockade therapy (CCBT) with the monoclonal antibodies infliximab (a TNF-α inhibitor) and basiliximab (an IL-2 receptor blocker) has had limited discussion in the literature. Methods: Sixty patients with steroid-refractory aGVHD were analyzed. The primary objective was to determine the overall response rate (ORR) for CCBT. Secondary outcomes included non-relapse mortality (NRM) and overall survival (OS). Results: ORR for CCBT at day 7, 14, and 28 were 28.3% (17/60; CR 5.0%/PR 23%), 38.3% (23/60; CR 11.3%/PR 27%), and 38.3% (23/60; CR 23.3%/PR 15%), respectively. Patients who received ruxolitinib prior to CCBT had lower ORR (25% CR = 15%/PR = 10%) compared to those who did not (47.5% CR = 27.5%/PR = 20%). In patients with and without ruxolitinib initiated prior to CCBT, NRM at 6 months was 60% (95% CI, 34.5–78) and 47.5% (95% CI, 31–62), while OS at 12 months was 30% (95% CI, 12–50) vs. 40% (95% CI, 25–55), respectively. Conclusions: CCBT has shown potential efficacy in steroid-refractory GI aGvHD, and given the observed ORR when used as second-line therapy, CCBT could serve as an acceptable alternative for patients who are ruxolitinib-intolerant. Ruxolitinib-refractory GI GvHD remains an area of unmet need and CCBT can provide salvage therapy for some patients.
Proton-Exchange Membrane Electrolysis for Green Hydrogen Production: Fundamentals, Cost Breakdown, and Strategies to Minimize Platinum-Group Metal Content in Hydrogen Evolution Reaction Electrocatalysts
Authors: Araújo Henrique F. , Gómez Julián A. , Santos Diogo M. F.
Published: November 2024

Green hydrogen (H2) has emerged as a promising energy carrier for decarbonizing the industrial, building, and transportation sectors. However, current green H2 production technologies face challenges that limit cost reduction and scaling up. Platinum-group metals (PGMs), including platinum and iridium, present exceptional electrocatalytic properties for water splitting, but their high cost is a significant barrier. This directly impacts the overall cost of electrolyzers, thus increasing green H2 production costs. The present work covers the fundamentals of water electrolysis, the currently available technologies, focusing on proton-exchange membrane electrolyzers, and the critical role of electrocatalysts, discussing potential strategies for reducing the PGM content and, consequently, decreasing green H2 cost.
Impact of Physical Activity on Cellular Metabolism Across Both Neurodegenerative and General Neurological Conditions: A Narrative Review
Authors: Clemente-Suárez Vicente Javier , Rubio-Zarapuz Alejandro , Belinchón-deMiguel Pedro , Beltrán-Velasco Ana Isabel , Martín-Rodríguez Alexandra , Tornero-Aguilera José Francisco
Published: November 2024

Background: Regular physical activity plays a crucial role in modulating cellular metabolism and mitigating the progression of neurodegenerative diseases such as Alzheimer’s, Parkinson’s, and Multiple Sclerosis. Objective: The objective of this review is to evaluate the molecular mechanisms by which exercise influences cellular metabolism, with a focus on its potential as a therapeutic intervention for neurological disorders. Methods: A comprehensive literature review was conducted using peer-reviewed scientific articles, with a focus on the period between 2015 and 2024, to analyze the effects of exercise on mitochondrial function, oxidative stress, and metabolic health. Results: The findings indicate that exercise promotes mitochondrial biogenesis, enhances oxidative phosphorylation, and reduces reactive oxygen species, contributing to improved energy production and cellular resilience. These metabolic adaptations are associated with delayed disease progression and reduced symptoms in patients with neurodegenerative conditions. Additionally, integrating exercise with nutritional strategies may further enhance therapeutic outcomes by addressing metabolic disturbances comprehensively. Conclusions: This review concludes that personalized exercise protocols should be developed to optimize metabolic benefits for patients with neurological diseases, while future research should focus on biomarker development for individualized treatment approaches. These findings highlight the importance of non-pharmacological interventions in managing neurodegenerative diseases.
Exosomal MALAT1 from Rapid Electrical Stimulation-Treated Atrial Fibroblasts Enhances Sox-6 Expression by Downregulating miR-499a-5p
Authors: Chuang Cheng-Yen , Wang Bao-Wei , Yu Ying-Ju , Fang Wei-Jen , Lin Chiu-Mei , Shyu Kou-Gi , Chua Su-Kiat
Published: November 2024

Background: Atrial fibrillation (AF) is a common cardiac arrhythmia associated with significant morbidity and mortality. Rapid electrical stimulation (RES) of atrial fibroblasts plays a crucial role in AF pathogenesis, but the underlying molecular mechanisms remain unclear. This study investigates the regulatory axis involving MALAT1, miR-499a-5p, and SOX6 in human cardiac fibroblasts from adult atria (HCF-aa) under RES conditions. Methods: HCF-aa were subjected to RES at 0.5 V/cm and 10 Hz. The expression levels of metastasis-associated lung adenocarcinoma transcript 1 (MALAT1), miR-499a-5p, and SRY-Box Transcription Factor 6 (SOX6) were measured using qPCR and Western blot analyses. Luciferase reporter assays were performed to confirm target relationships. The effects of MALAT1 siRNA, miR-499a-5p mimics/inhibitors, and SOX6 overexpression on gene expression and apoptosis were assessed. Results: RES increased exosomal MALAT1 expression, peaking at 2 h. MiR-499a-5p levels initially increased, then decreased at 2 h, coinciding with peak MALAT1 expression. SOX6 mRNA and protein levels increased, peaking at 4 and 6 h, respectively. Luciferase assays confirmed MALAT1 and SOX6 as miR-499a-5p targets. MALAT1 knockdown increased miR-499a-5p levels and reduced SOX6 expression. MiR-499a-5p overexpression decreased SOX6 levels and inhibited RES-induced apoptosis. Conclusion: In HCF-aa under RES, increased exosomal MALAT1 expression counteracts miR-499-5p’s suppression of SOX6, suggesting that MALAT1-containing exsosomes derived from HCF-aa may offer a novel cell-free therapeutic approach for AF.
Physicochemical Factors Affecting the Rheology and Stability of Peach Puree Dispersions
Authors: Kyroglou Smaro , Ritzoulis Christos , Theocharidou Athina , Vareltzis Patroklos
Published: November 2024

The rheological properties and sedimentation phenomena in fruit purees are of particular importance for the food industry and product acceptance by consumers. The aim of this study was to correlate the phase separation with the underlying mechanisms. First, the influence of soluble solids content and temperature on the flow properties of peach puree was determined. Furthermore, considering the fruit puree matrix as a colloidal dispersion, the sedimentation rate, particle size and zeta potential were also determined. The peach puree samples exhibited pseudoplastic behavior, which was effectively described by the power law model. Both the flow consistency coefficient and apparent viscosity increased as the concentration rose. On the contrary, viscosity decreased as temperature increased. In addition, there was no significant effect of temperature on the flow behavior index. Low zeta potential values resulted in sedimentation as expressed by the phase separation index, and the highest sedimentation rate was observed for the sample with the lowest sucrose content.
Emerging Trends in Skin Anti-Photoaging by Lactic Acid Bacteria: A Focus on Postbiotics
Authors: Jin Xiangji , Nguyen Trang Thi Minh , Yi Eun-Ji , Zheng Qiwen , Park Se-Jig , Yi Gyeong-Seon , Yang Su-Jin , Kim Mi-Ju , Yi Tae-Hoo
Published: November 2024

Background: Reflecting the increasing interest and research on living a healthy life as society ages, there has been a surge in attention and studies on photodamage. Probiotics have been studied for their ability to enhance skin integrity and provide protection from ultraviolet radiation (UVR). However, despite this, extensive research has revealed various issues and side effects, prompting increased interest in alternative options that can effectively and safely protect the skin. We focused on postbiotics as a promising solution for photodamage, aiming to demonstrate their potential as a safe and stable alternative to probiotics. Methods: We investigated papers on “skin aging” or “photoaging” and “probiotics” or “postbiotics” from 2013 to 2023 using the Web of Science, PubMed, and Scopus. Additionally, we compared and analyzed publications, authors, countries, keywords, and citations using the VOS viewer program. Results: According to our search results, the majority of papers on photodamage and probiotics were published in PubMed, with the United States leading in publication volume among countries. The most common keywords were “photodamage” and “skin”. The most cited paper recorded 470 citations. Furthermore, upon focused analysis of five papers on postbiotics and photodamage, postbiotics demonstrated preventive and protective effects against skin photodamage. Conclusions: Postbiotics for photodamage show potential as a safe and stable alternative to probiotics. However, research on postbiotics and photodamage remains limited, and additional studies and long-term tracking are essential to substantiate our claims.