bluuebunny/crossref_metadata_2025_split huggingface dataset:
Theoretical and mathematical codynamics of nonlinear tuberculosis and COVID-19 model pertaining to fractional calculus and probabilistic approach
Authors: Rashid Saima , Hamidi Sher Zaman , Akram Saima , Raza Muhammad Aon , Elagan S. K. , Alsubei Beida Mohsen Tami 
Published: April 2024

AbstractSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a novel virus known as coronavirus 2 (SARS-CoV-2) that affects the pulmonary structure and results in the coronavirus illness 2019 (COVID-19). Tuberculosis (TB) and COVID-19 codynamics have been documented in numerous nations. Understanding the complexities of codynamics is now critically necessary as a consequence. The aim of this research is to construct a co-infection model of TB and COVID-19 in the context of fractional calculus operators, white noise and probability density functions, employing a rigorous biological investigation. By exhibiting that the system possesses non-negative and bounded global outcomes, it is shown that the approach is both mathematically and biologically practicable. The required conditions are derived, guaranteeing the eradication of the infection. Sensitivity analysis and bifurcation of the submodel are also investigated with system parameters. Furthermore, existence and uniqueness results are established, and the configuration is tested for the existence of an ergodic stationary distribution. For discovering the system’s long-term behavior, a deterministic-probabilistic technique for modeling is designed and operated in MATLAB. By employing an extensive review, we hope that the previously mentioned approach improves and leads to mitigating the two diseases and their co-infections by examining a variety of behavioral trends, such as transitions to unpredictable procedures. In addition, the piecewise differential strategies are being outlined as having promising potential for scholars in a range of contexts because they empower them to include particular characteristics across multiple time frame phases. Such formulas can be strengthened via classical technique, power-law, exponential decay, generalized Mittag–Leffler kernels, probability density functions and random procedures. Furthermore, we get an accurate description of the probability density function encircling a quasi-equilibrium point if the effect of TB and COVID-19 minimizes the propagation of the codynamics. Consequently, scholars can obtain better outcomes when analyzing facts using random perturbations by implementing these strategies for challenging issues. Random perturbations in TB and COVID-19 co-infection are crucial in controlling the spread of an epidemic whenever the suggested circulation is steady and the amount of infection eliminated is closely correlated with the random perturbation level.
Assessment of mechanical behavior of sprayed concrete reinforced with waste tire textile fibers
Authors: Khosh Behzad , Atapour Hadi 
Published: April 2024

AbstractThe primary objective of this research is to assess the mechanical properties of shotcrete or sprayed concrete reinforced with waste tire textile fibers (WTTFs). Shotcrete is extensively employed in civil and mining engineering projects for support systems. This study examines the physical and mechanical characteristics of shotcrete samples, both without fibers and reinforced with WTTFs, including density, water absorption, volume of permeable voids, ultrasonic pulse velocity, uniaxial compressive strength, and splitting tensile strength. The reinforced samples consist of WTTF fibers at 0.5%, 1%, and 1.5% concentrations. Test results demonstrate that the inclusion of waste tire textile fibers enhances the mechanical properties of shotcrete, particularly its deformability and energy absorption capacity. Based on the test outcomes, a 1% fiber concentration is recommended as the most suitable ratio for utilizing waste tire textile fibers in shotcrete. Furthermore, these flexible fibers do not impede shotcrete pumping or spraying capabilities.
Distinct learning, retention, and generalization patterns in de novo learning versus motor adaptation
Authors: Gastrock Raphael Q. , ’t Hart Bernard Marius , Henriques Denise Y. P. 
Published: April 2024

AbstractPeople correct for movement errors when acquiring new motor skills (de novo learning) or adapting well-known movements (motor adaptation). While de novo learning establishes new control policies, adaptation modifies existing ones, and previous work have distinguished behavioral and underlying brain mechanisms for each motor learning type. However, it is still unclear whether learning in each type interferes with the other. In study 1, we use a within-subjects design where participants train with both 30° visuomotor rotation and mirror reversal perturbations, to compare adaptation and de novo learning respectively. We find no perturbation order effects, and find no evidence for differences in learning rates and asymptotes for both perturbations. Explicit instructions also provide an advantage during early learning in both perturbations. However, mirror reversal learning shows larger inter-participant variability and slower movement initiation. Furthermore, we only observe reach aftereffects following rotation training. In study 2, we incorporate the mirror reversal in a browser-based task, to investigate under-studied de novo learning mechanisms like retention and generalization. Learning persists across three or more days, substantially transfers to the untrained hand, and to targets on both sides of the mirror axis. Our results extend insights for distinguishing motor skill acquisition from adapting well-known movements.
Multifractal characteristics of soil particle size distribution of abandoned homestead reclamation under different forest management modes
Authors: Meng Tingting , Han Jichang , Zhang Yang , Sun Yingying , Liu Zhe , Zhang Ruiqing 
Published: April 2024

AbstractIn this study, fast-growing poplar reclaimed from abandoned homestead in Xixian New District, Xi’an City, Shaanxi Province, was used as the research object to explore the multi-fractal characteristics of soil particle size distribution under different management modes of abandoned land (control), irrigation, fertilizer irrigation and mixed fertilizer irrigation. The results showed that the mean values of soil clay, silt and sand in abandoned land were 14.58%, 81.21% and 4.22% respectively, 14.08%, 79.92% and 5.99% under irrigation, 15.17%, 81.19% and 3.64% under fertilizer irrigation, and 16.75%, 80.20% and 3.05% in mixed fertilizer treatment. From 40 cm, with increasing soil depth, soil clay particles increase under irrigation, fertilizer irrigation, and mixed fertilizer irrigation modes. The single fractal dimension of soil particle size distribution (D) in each treatment ranges from 2.721 to 2.808. At 60–100 cm, D shows fertilizer irrigation > mixed fertilizer irrigation > irrigation > abandoned land, indicating that fertilization and irrigation can increase the fine-grained matter of deep soil particles and reduce soil roughness. Compared with abandoned land, under irrigation, fertilizer irrigation and mixed fertilizer modes the capacity dimension (D0), entropy dimension (D1), correlation dimension(D2), shape characteristics of the multifractal spectrum (Δf) and overall inhomogeneity of the soil particle size distribution (D0–D10) indicate an uneven distribution of soil particle size; fractal structure characteristics of soil (D−10–D0) indicate a simplified soil structure, and degree of dispersion of soil particle size distribution (D1/D0) indicates that soil particle size is distributed in dense areas. Pearson correlation analysis showed that D was significantly correlated with clay, sand, D0–D10, soil organic matter (SOM) and soil available phosphorus (SAP) (P < 0.05). Stepwise regression analysis showed that clay was the main controlling factor of D and D0–D10 changes. The research results can provide some potential indicators for the quality evaluation of abandoned homestead reclamation.
The role of leaf superoxide dismutase and proline on intra-specific photosynthesis recovery of Schima superba following drought
Authors: Duan Honglang , Shao Changchang , Zhao Nan , Wang Defu , Resco de Dios Víctor , Tissue David T. 
Published: April 2024

AbstractUnderstanding the physiological and biochemical responses of tree seedlings under extreme drought stress, along with recovery during rewatering, and potential intra-species differences, will allow us to more accurately predict forest responses under future climate change. Here, we selected seedlings from four provenances (AH (Anhui), JX (Jiangxi), HN (Hunan) and GX (Guangxi)) of Schima superba and carried out a simulated drought-rewatering experiment in a field-based rain-out shelter. Seedlings were progressively dried until they reached 50% and 88% loss of xylem hydraulic conductivity (PLC) (i.e. P50 and P88), respectively, before they were rehydrated and maintained at field capacity for 30 days. Leaf photosynthesis (Asat), water status, activity of superoxide dismutase (SOD), and proline (Pro) concentration were monitored and their associations were determined. Increasing drought significantly reduced Asat, relative water content (RWC) and SOD activity in all provenances, and Pro concentration was increased to improve water retention; all four provenances exhibited similar response patterns, associated with similar leaf ultrastructure at pre-drought. Upon rewatering, physiological and biochemical traits were restored to well-watered control values in P50-stressed seedlings. In P88-stressed seedlings, Pro was restored to control values, while SOD was not fully recovered. The recovery pattern differed partially among provenances. There was a progression of recovery following watering, with RWC firstly recovered, followed by SOD and Pro, and then Asat, but with significant associations among these traits. Collectively, the intra-specific differences of S. superba seedlings in recovery of physiology and biochemistry following rewatering highlight the need to consider variations within a given tree species coping with future more frequent drought stress.
High temperature and humidity in the environment disrupt bile acid metabolism, the gut microbiome, and GLP-1 secretion in mice
Authors: Chen Song , Hu Zongren , Tang Jianbang , Zhu Haipeng , Zheng Yuhua , Xiao Jiedong , Xu Youhua , Wang Yao , Luo Yi , Mo Xiaoying , Wu Yalan , Guo Jianwen , Zhang Yongliang , Luo Huanhuan 
Published: April 2024

AbstractHigh temperature and humidity in the environment are known to be associated with discomfort and disease, yet the underlying mechanisms remain unclear. We observed a decrease in plasma glucagon-like peptide-1 levels in response to high-temperature and humidity conditions. Through 16S rRNA gene sequencing, alterations in the gut microbiota composition were identified following exposure to high temperature and humidity conditions. Notably, changes in the gut microbiota have been implicated in bile acid synthesis. Further analysis revealed a decrease in lithocholic acid levels in high-temperature and humidity conditions. Subsequent in vitro experiments demonstrated that lithocholic acid increases glucagon-like peptide-1 secretion in NCI-H716 cells. Proteomic analysis indicated upregulation of farnesoid X receptor expression in the ileum. In vitro experiments revealed that the combination of lithocholic acid with farnesoid X receptor inhibitors resulted in a significant increase in GLP-1 levels compared to lithocholic acid alone. In this study, we elucidate the mechanism by which reduced lithocholic acid suppresses glucagon-like peptide 1 via farnesoid X receptor activation under high-temperature and humidity condition.
Methane emissions decreased in fossil fuel exploitation and sustainably increased in microbial source sectors during 1990–2020
Authors: Chandra Naveen , Patra Prabir K. , Fujita Ryo , Höglund-Isaksson Lena , Umezawa Taku , Goto Daisuke , Morimoto Shinji , Vaughn Bruce H. , Röckmann Thomas 
Published: April 2024

AbstractMethane (CH4) emission reduction to limit warming to 1.5 °C can be tracked by analyzing CH4 concentration and its isotopic composition (δ13C, δD) simultaneously. Based on reconstructions of the temporal trends, latitudinal, and vertical gradient of CH4 and δ13C from 1985 to 2020 using an atmospheric chemistry transport model, we show (1) emission reductions from oil and gas exploitation (ONG) since the 1990s stabilized the atmospheric CH4 growth rate in the late 1990s and early 2000s, and (2) emissions from farmed animals, waste management, and coal mining contributed to the increase in CH4 since 2006. Our findings support neither the increasing ONG emissions reported by the EDGARv6 inventory during 1990–2020 nor the large unconventional emissions increase reported by the GAINSv4 inventory since 2006. Total fossil fuel emissions remained stable from 2000 to 2020, most likely because the decrease in ONG emissions in some regions offset the increase in coal mining emissions in China.
Adaptive link dynamics drive online hate networks and their mainstream influence
Authors: Zheng Minzhang , Sear Richard F. , Illari Lucia , Restrepo Nicholas J. , Johnson Neil F. 
Published: April 2024

AbstractOnline hate is dynamic, adaptive— and may soon surge with new AI/GPT tools. Establishing how hate operates at scale is key to overcoming it. We provide insights that challenge existing policies. Rather than large social media platforms being the key drivers, waves of adaptive links across smaller platforms connect the hate user base over time, fortifying hate networks, bypassing mitigations, and extending their direct influence into the massive neighboring mainstream. Data indicates that hundreds of thousands of people globally, including children, have been exposed. We present governing equations derived from first principles and a tipping-point condition predicting future surges in content transmission. Using the U.S. Capitol attack and a 2023 mass shooting as case studies, our findings offer actionable insights and quantitative predictions down to the hourly scale. The efficacy of proposed mitigations can now be predicted using these equations.
Enhanced semantic communication schemes for speech signals
Authors: Yeo Yerin , Kim Junghyun , Song Hong‐Yeop 
Published: April 2024

AbstractTwo new models for semantic communication systems are proposed. The first model incorporates the convolutional block attention module, which considers attention techniques in both the channel and spatial domains. The second model applies the efficient channel attention (ECA) network with reduced complexity. Experimental results demonstrate that the convolutional block attention module‐equipped model improved signal‐to‐distortion ratio performance by at a signal‐to‐noise ratio of while maintaining a similar number of parameters compared to the existing model using squeeze‐and‐excitation network. Meanwhile, the efficient channel attention‐equipped model reduced parameters by approximately without any degradation in performance compared to the existing model.
Experimental qualification and sensitivity study of antipodal patch antenna structures for orientation independent detection of partial discharges
Authors: Friebe Kerstin , Jenau Frank 
Published: April 2024

AbstractPartial discharge diagnosis is an important part of monitoring and diagnosing components of the power transmission system. Four different patch antenna structures for the detection of partial discharges are investigated. These patch antennas, which are realisable in a variety of geometric structures, are already the subject of research. They offer the advantage of contactless detection without intervention in the test object or the measuring circuit, and also offer the possibility of alignment independent detection compared to directional antennas. However, it is important and required to examine different structures extensively at the same measurement setup and to compare their performance. To achieve this, four different configurations of patch antenna structures based on basic geometries all in antipodal design are realised: a logarithmic periodic structure, a Hilbert fractal structure and two tapered slot antennas. They are exposed to the same conditions on a special and unique measurement setup. As the main aspect, the performance of orientation independent detection of partial discharges patch antennas with varying distance and rotation in relation to the partial discharge source as well as the operating bandwidth is examined. To rate the structures, an evaluation scheme is created and a sensitivity matrix is generated.
Electromagnetic time reversal for online partial discharge location in power cables: Influence of interfering reflections from grid components
Authors: Ragusa Antonella , Wouters Peter A. A. F. , Sasse Hugh , Duffy Alistair , Rachidi Farhad , Rubinstein Marcos 
Published: April 2024

AbstractIn online single‐sided partial discharge (PD) location, the measured PD reflection patterns are affected by the characteristics of all the components of the associated power network. This paper analyses the performance of a PD location method based on electromagnetic time reversal (EMTR) theory, when interfering reflections contribute to the transient signals emitted by the PD event. The topology analysed is formed from a ring main unit (RMU) in a medium voltage grid with mixed cross‐linked polyethylene and paper‐insulated lead‐covered (PILC) cable sections. The PD reflection patterns, observed at the RMU, are disturbed by the reflections coming from the impedance discontinuities of the circuit and by the reflections coming from the cable ends of the PILC cables connected to the RMU. The simulated configuration is chosen such that classical location techniques tend to fail due to overlapping peaks and other signal distortion. This is because the classic techniques are based on identifying individual reflection peaks from which the PD source can be determined via differences in time of arrival. The numerical investigation shows that the accuracy of the EMTR‐based location method is robust against these effects, achieving a PD localisation with an error less than the 0.1%. The results also show that the EMTR‐based method can localise PDs using a PD monitoring point located somewhere along the network and not necessarily at the line termination.
Overcoming the Challenges Faced by Leaders of Purpose-Led Medium-Sized Businesses: The Role of Corporate Communication and its Interplay with Corporate Reputation and Organisational Identity
Authors: Ibn-Mohammed Taofeeq , Herath Suranga , Swallow Nicholas , Gower Charlie , Puente Montes Adriana , Brooks Dawn , Perez Garcia Andres , Morrison-Saunders Angus 
Published: April 2024

AbstractInduced by worsening environmental conditions, pursuing purpose, not solely profit, now constitutes an ethical obligation for leaders of business organisations, towards future generations. Consequently, increasing numbers of businesses seek to become purpose-led (PLBs), but challenges exist. Despite the significant growth in PLB research since the turn of the millennium, attention has mainly focussed on multinational companies, although small- and medium-sized businesses (MSBs) hugely impact any economy. This research sets out to better understand the challenges faced by leaders of companies undergoing purpose-led MSB transitioning. Thematic analysis of the interview data from founders and leaders of B-Corp certified purpose-led MSBs revealed six specific challenges consistent with literature findings, but also provided uniquely useful insights from the leaders’ perspectives. Integrated business strategies or solutions, which meet multiple challenges simultaneously, revolve around a strong corporate reputation and organisational identity driven by corporate communication. Corporate communication engages stakeholders, builds trust, reinforces reputation, and serves as a strategic intervention for differentiating purpose-led MSBs in the marketplace, shaping organisational identity. Overall, the work provides leaders of MSBs with a practical guide for navigating their challenges and developing leadership practices to enable purpose-led transformations.
The ion-gas-neutral interactions with surfaces-2 (IGNIS-2) facility for the study of plasma–material interactions
Authors: Schamis Hanna , Jaramillo-Correa Camilo , Parsons Matthew S. , Marchhart Trevor , Allain Jean Paul , Hargrove Chase , Judge Aidan , Kawashimo Kenta , Kunz Ethan , López Pérez Camila , Nieto-Perez Martin , Shober Haiden 
Published: April 2024

The Ion-Gas-Neutral Interactions with Surfaces-2 (IGNIS-2) surface science facility has been designed at the Pennsylvania State University with the specific purpose of enabling experiments to study plasma–material interactions. This in situ surface modification and characterization facility consists of multiple reconfigurable substations that are connected through a central transfer chamber. This fully connected vacuum system ensures that the physical and chemical properties of samples are not altered between surface modification and analysis. The modification techniques in IGNIS-2 include a low-energy (&lt;300 eV), high-flux (up to 1016 cm−2 s−1) broad-beam ion source, a liquid metal dropper, a lithium injection system, an RF sputter source, and an evaporator. Its characterization techniques include charged particle-based techniques, such as low-energy ion scattering (enabled by two &lt;5 keV ion sources) and x-ray photoelectron spectroscopy, and photon and light-based techniques, such as x-ray fluorescence, multi-beam optical stress sensors, and optical cameras. All of these techniques can be utilized up to mTorr pressures, allowing both in situ and in operando studies to be conducted. Results are presented on lithium wetting experiments of argon-irradiated tungsten-based composites, surface stress measurements of tungsten films during deuterium ion irradiation, and temperature-programmed desorption of deuterium-irradiated graphite to demonstrate the in situ capabilities of this new facility.
Treatment of Toxocara canis infections in mice with liposome-incorporated benzimidazole carbamates and immunomodulator glucan
Authors: Hrčkova G. , Velebný S. 
Published: April 2024

AbstractBenzimidazole carbamates (mebendazole, albendazole and fenbendazole) are the most commonly used anthelmintic drugs for the treatment of larval toxocariasis (Toxocara canis) in paratenic hosts. However, the bioavailability of these drugs for tissues is very low due to their extremely low solubility, resulting in the administration of relatively high doses over a long period. To overcome this problem, neutral, negatively or positively charged and stabilized liposome drug carriers were examined in the chronic phase of T. canis infections in mice each orally inoculated with 1000 eggs. Moreover, liposomized albendazole and fenbendazole were co-administered with liposomized immunomodulator glucan. The highest efficacy of both drugs, evaluated 4 weeks after treatment, was recorded after their subcutaneous administration (ten doses of 25 mg kg-1) in stabilized liposomes and intramuscular co-administration of liposomized glucan (two doses of 5 mg kg-1). Fenbendazole was more effective in muscles (91.5%) whereas albendazole was more effective in the brain (92.2%). Liposomes with incorporated benzimidazole carbamate anthelmintics provide sustained drug-release reservoirs and can considerably enhance drug efficacy. Moreover, despite suppression by T. canis antigens, stimulation of the immune system by the immunomodulator glucan potentiates the effects of these antiparasitic drugs.