bluuebunny/crossref_metadata_2025 huggingface dataset:
Multi-Omics Reveal the Improvements of Nutrient Digestion, Absorption, and Metabolism and Intestinal Function via GABA Supplementation in Weanling Piglets
Authors: Zeng Yan , Hu Hong , He Yiwen , Deng Zhiying , Guo Yiting , Zhou Xihong
Published: November 2024

The nonprotein amino acid γ-aminobutyric acid (GABA) can enhance intestinal function in piglets; however, the mechanisms involved are not yet fully understood. To explore the effects of GABA and its underlying mechanisms, weanling piglets were randomly assigned to three groups, receiving either a basal diet or a basal diet supplemented with GABA (80 mg/kg or 120 mg/kg). The results demonstrated that dietary GABA improved growth performance and reduced diarrhea incidence (p < 0.05). Additionally, GABA supplementation decreased the serum and intestinal levels of pro-inflammatory cytokines (p < 0.05), and improved intestinal morphology. Multi-omics analyses were employed to explore the alterations caused by GABA supplementation and elucidate the related mechanisms. Microbiota profiling revealed improved beta-diversity and changes in the composition of ileal bacteria and fungi. Amino acid metabolism, lipid metabolism, and digestive processes were primarily enriched in the GABA group according to metabolomics analysis. A transcriptome analysis showed significant enrichment in ion transmembrane transport and nutrition absorption and digestion pathways in the ileum. Furthermore, increased lipase and trypsin activity, along with the elevated expression of tight junction proteins confirmed the beneficial effects of GABA on intestinal nutrient metabolism and barrier function. In conclusion, dietary 80 mg/kg GABA supplementation improved nutrient digestion and absorption and intestinal function in weanling piglets.
Effect of Partial or Complete Replacement of Dietary Inorganic Trace Minerals Supplement with an Advanced Chelated Source on Nutrient Digestibility in Sheep
Authors: Rajaei-Sharifabadi Hossein , Shokri Zahra , Rohollahi Mahdi , Yari Mojtaba , Fakharzadeh Saideh , Kalanaky Somayeh , Nazaran Mohammad Hassan , de la Fuente Oliver Gabriel , Seradj Ahmad Reza
Published: November 2024

The delicate balance of trace mineral supplementation is critical for optimizing rumen function and overall ruminant health. This study evaluated the solubility of an advanced chelate technology-based supplement and assessed its impact on rumen degradability and apparent total tract digestibility (ATTD) when replacing inorganic sources. The solubility of the advanced trace minerals supplement (ACTM) was assessed at pH 5 and pH 2. In situ ruminal degradability of dry matter (DM), organic matter (OM), and fiber fractions was evaluated using two fistulated rams fed diets supplemented with either ACTM or inorganic trace minerals. ATTD was determined in 6 lambs fed diets supplemented with 100% ACTM, 50% ACTM, and 50% inorganic (50% ACTM), or 100% inorganic sources in a Latin square design. Results showed solubilities ranging from 6.75% to 11.81% at pH 5, increasing to 69.24% to 80.47% at pH 2. ACTM supplementation significantly enhanced the rumen degradability of neutral detergent fiber (NDF) and acid detergent fiber (ADF) at 6 h of incubation (p ≤ 0.05). The 100% ACTM treatment significantly decreased rumen pH (p = 0.051) and improved DM, OM, NDF, and ADF digestibility, as well as trace mineral absorbability compared to 100% inorganic (p ≤ 0.05). These findings highlight the potential of ACTM supplementation to enhance ruminal degradability, promote better trace mineral absorption, and improve the ATTD of nutrients compared to inorganic sources.
Tick Infestation and Molecular Detection of Tick-Borne Pathogens from Indian Long-Eared Hedgehogs (Hemiechinus collaris) in Pakistan
Authors: Ali Shahzad , von Fricken Michael E. , Azam Asima , Hassan Ahmad , Cleary Nora G. , Iftikhar Kiran , Rashid Muhammad Imran , Razzaq Abdul
Published: November 2024

Hedgehogs can act as reservoirs for the transmission of tick-borne pathogens (TBPs) to domestic livestock, wild animals, and humans. Understanding host–tick dynamics is essential to evaluate the impact of TBPs. This study was conducted in Pakistan and aimed to determine the prevalence and species of TBPs in the blood and ticks of Indian long-eared hedgehogs captured from various environments. A total of 64 hedgehogs were captured to check for tick infestation. Tick species were identified morphologically and molecularly including ITS-2 region amplification by PCR and subsequent Sanger sequencing. Moreover, TBPs were identified in both ticks and the blood of hedgehogs through conventional PCR and sequencing, targeting the regions msp1b, 18S rRNA, and cytb for Anaplasma spp., Babesia spp., and Theileria spp., respectively. Out of 64 hedgehogs, 16 (25%) were found to be infested with ticks. Morphological and molecular analysis identified all 109 collected ticks as Rhipicephalus turanicus. Only one hedgehog (6.2%) was infected with A. marginale. From the tick samples, 3.7% tested positive for Theileria lestoquardi, 2.8% for Anaplasma marginale, and another 2.8% for Babesia bigemina. This study provides critical insights into circulating TBPs in this region and what possible role hedgehogs might play in disease maintenance for Anaplasma marginale while identifying multiple pathogens that are of concern to human and animal health.
From Burst to Sustained Release: The Effect of Antibiotic Structure Incorporated into Chitosan-Based Films
Authors: Sczesny Nathália F. , Wiggers Helton J. , Bueno Cecilia Z. , Chevallier Pascale , Copes Francesco , Mantovani Diego
Published: November 2024

Background/Objectives: Medical devices are susceptible to bacterial colonization and biofilm formation, which can result in severe infections, leading to prolonged hospital stays and increased burden on society. Antibacterial films have the potential to assist in preventing biofilm formation, thereby reducing administration of antibiotics and the emergence of antibiotic-resistant strains. In a previous study, a chitosan-based matrix crosslinked with tannic acid and loaded with gentamicin was reported. In this study, five different antibiotics (moxifloxacin, ciprofloxacin, trimethoprim, sulfamethoxazole or linezolid) were loaded into these chitosan-based films, and their impact on the release behavior carefully assessed. Methods: The samples were characterized according to their thickness, swelling, and mass loss in phosphate-buffered saline (PBS), as well as by morphology using scanning electron microscopy (SEM) and optical phase contrast microscopy. Antibiotic release over time was quantified in PBS by high-performance liquid chromatography (HPLC). Antibacterial activity was investigated by disk diffusion test and antibiotic release over time. Finally, the cytotoxicity of the samples was assessed with human dermal fibroblasts. Results: The obtained results differed significantly, especially regarding the antibiotic release time and antibacterial activity, which varied from one day to six months, enabling classification of the films from burst/transient to prolonged release. The films also showed antibacterial features against bacteria mostly present in medical devices and displayed to be non-cytotoxic. Conclusions: In conclusion, it was demonstrated that the antibiotics structure significantly alters the release kinetics, and that by carefully selecting the antibiotic, the consequent release can be tuned. This approach yielded films that could be used for potentially-scalable release in antimicrobial coatings specific to medical devices, aiming to reduce biomaterial associated infections (BAIs).
Cultural Assessment as the Meeting Point in the Dialogue Between Heritage Studies and Architectural Practice—The Adaptive Reuse of Trinity College, Coimbra (Portugal)
Authors: Loren-Méndez Mar , García-Casasola Marta , Galán-Caro Domingo
Published: November 2024

More than a century after Riegl took the first steps in the theory of value that characterised the 20th century, conservation is now being challenged from the perspective of understanding heritage intervention projects. Critical transformation of heritage, based on knowledge, modifies the characteristics of what is of value, its significance and its materiality. This work process deals with questions related to citizens’ perceptions, where consensus is sought to agree on what has value in a heritage context and how intervention projects affect this consideration. This article represents a revision of heritage methodology insofar as it establishes a contemporary dialogue between architectural practice and heritage studies through the identification and management of cultural values. It takes as a case study the Trinity College in Coimbra, by Aires Mateus. This work is framed within the declaration of the University of Coimbra as a UNESCO World Heritage Site. This methodology can be extrapolated to other case studies, providing a necessary framework for understanding design action in different heritage contexts. This research attempts to equate the heritage asset’s initial values with those generated or activated after the intervention, highlighting the recognition of these values as a key objective of heritage studies and design action.
Targeting Menin in Acute Myeloid Leukemia: Therapeutic Advances and Future Directions
Authors: Dhiman Sandhya , Dhillon Vikram , Balasubramanian Suresh Kumar
Published: November 2024

Germline mutations in the MEN1 gene encoding menin protein cause multiple endocrine neoplasia type 1 (MEN1) syndrome. Recent evidence suggests that inhibiting the interaction of menin with its crucial oncogenic protein partners represents a promising therapeutic strategy to AML. Menin plays a critical role in lysine methyltransferase 2A (KMT2A)-gene-rearranged and NPM1-m acute leukemias, both associated with adverse outcomes with current standard therapies, especially in the relapsed/refractory setting. Disrupting the menin–KMT2A interaction affects the proleukemogenic HOX/MEIS transcription program. This disruption leads to the differentiation of KMT2Ar and NPM1-m AML cells. Small molecular inhibitors of the menin–KMT2A interaction target the central cavity of MEN1 to inhibit the MEN1-KMT2A interaction and could target a similar transcriptional dependency in other leukemia subsets, broadening their therapeutic potential. These agents, both as monotherapies and in combination with synergistic drugs, are undergoing preclinical and clinical evaluation with promising early results. With the growing literature around menin inhibitors in AML, we discussed the biology of menin, its mechanism of action, its interacting partners in leukemia, possible inhibitors, their implications, synergistic drugs, and future therapeutic strategies in this review.
Correction: Jeong et al. A Comparative Study of Postoperative Complications Associated with Distal Gastrectomy and Pylorus-Preserving Gastrectomy among Gastric Cancer Patients Based on Nationwide Survey Data and Propensity Score Weighting. Cancers 2024, 16, 2203
Authors: Jeong Sang-Ho , Park Miyeong , Seo Kyung Won , Kim Rock Bum , Min Jae-Seok ,   Information Committee of the Korean Gastric Cancer Association
Published: November 2024

Text Correction [...]
Modifying the Glycocalyx of Melanoma Cells via Metabolic Glycoengineering Using N-Acetyl-d-glucosamine Analogues
Authors: Harris David , Groß Marcel , Staebler Sebastian , Ebert Regina , Seibel Jürgen , Boßerhoff Anja Katrin
Published: November 2024

Tumor cells are decorated with aberrant glycan structures on cell surfaces. It is well known that the glycocalyx serves as a main cellular regulator, although its role in cancer is still not completely understood. Over recent decades, several non-natural monosaccharides carrying clickable groups have been introduced in melanoma cells. This technique, called Metabolic Glycoengineering (MGE), opens up the possibility of altering the cell’s glycocalyx via click chemistry using a two-step approach. This study expands the field of MGE by showing the successful metabolic incorporation of novel alternative artificial glucosamine derivatives. The latter were either deoxygenated or blocked by methyl ether in position 4 to generate deficient glycosylation patterns, while being extended by an alkyne to enable click chemistry as a one-step approach. As a result, we observed a reduced proliferation rate of melanoma cells. Furthermore, using a lectin array, the decrease in high mannose epitopes was observed. In summary, the successful use of alternative artificial glucosamine derivatives enabled a significant alteration in the glycocalyx, consequently influencing cell behavior.
The Interfacial Reaction Traits of (Al63Cu25Fe12)99Ce1 Quasicrystal-Enhanced Aluminum Matrix Composites Produced by Means of Hot Pressing
Authors: Wang Juan , Yang Zhong
Published: November 2024

This study fabricated (Al63Cu25Fe12)99Ce1 quasicrystal-enhanced aluminum matrix composites using the hot-pressing method to investigate their interfacial reaction traits. Microstructure analysis revealed that at 490 °C for 30 min of hot-pressing, the interface between the matrix and reinforcement was clear and intact. Chemical diffusion between the I-phase and aluminum matrix during sintering led to the formation of Al7Cu2Fe, AlFe, and AlCu phases, which, with their uniform and fine distribution, significantly enhanced the alloy’s overall properties. Regarding compactness, it first increased and then decreased with different holding times, reaching a maximum of about 98.89% at 490 °C for 30 min. Mechanical property analysis showed that compressive strength initially rose and then fell with increasing sintering temperature. After 30 min at 490 °C, the reinforcement particles and matrix were tightly combined and evenly distributed, with a maximum compressive strength of around 790 MPa. Additionally, the diffusion dynamics of the transition layer were simulated. The reaction rate of the reaction layer increased with hot-pressing temperature and decreased with holding time. Selecting a lower temperature and appropriate holding time can control the reaction layer thickness to obtain composites with excellent properties. This research innovatively contributes to the preparation and property study of such composites, providing a basis for their further application.
Multiple Speciation and Extinction Rate Shifts Shaped the Macro-Evolutionary History of the Genus Lycium Towards a Rather Gradual Accumulation of Species Within the Genus
Authors: Chen Haikui , Yessoufou Kowiyou , Zhang Xiu , Lin Shouhe , Mankga Ledile
Published: November 2024

The Neotropics are the most species-rich region on Earth, and spectacular diversification rates in plants are reported in plants, mostly occurring in oceanic archipelagos, making Neotropical and island plant lineages a model for macro-evolutionary studies. The genus Lycium in the Solanaceae family, originating from the Neotropics and exhibiting a unique disjunct geography across several islands, is therefore expected to experience exceptional diversification events. In this study, we aimed to quantify the diversification trajectories of the genus Lycium to elucidate the diversification events within the genus. We compiled a DNA matrix of six markers on 75% of all the species in the genus to reconstruct a dated phylogeny. Based on this phylogeny, we first revisited the historical biogeography of the genus. Then, we fitted a Compound Poisson Process on Mass Extinction Time model to investigate the following key evolutionary events: speciation rate, extinction rate, as well as mass extinction events. Our analysis confirmed that South America is the origin of the genus, which may have undergone a suite of successive long-distance dispersals. Also, we found that most species arose as recently as 5 million years ago, and that the diversification rate found is among the slowest rates in the plant kingdom. This is likely shaped by the multiple speciation and extinction rate shifts that we also detected throughout the evolutionary history of the genus, including one mass extinction at the early stage of its evolutionary history. However, both speciation and extinction rates remain roughly constant over time, leading to a gradual species accumulation over time.
Research on Classification and Identification of Crack Faults in Steam Turbine Blades Based on Supervised Contrastive Learning
Authors: Zhang Qinglei , Tang Laifeng , Qin Jiyun , Duan Jianguo , Zhou Ying
Published: November 2024

Steam turbine blades may crack, break, or suffer other failures due to high temperatures, high pressures, and high-speed rotation, which seriously threatens the safety and reliability of the equipment. The signal characteristics of different fault types are slightly different, making it difficult to accurately classify the faults of rotating blades directly through vibration signals. This method combines a one-dimensional convolutional neural network (1DCNN) and a channel attention mechanism (CAM). 1DCNN can effectively extract local features of time series data, while CAM assigns different weights to each channel to highlight key features. To further enhance the efficacy of feature extraction and classification accuracy, a projection head is introduced in this paper to systematically map all sample features into a normalized space, thereby improving the model’s capacity to distinguish between distinct fault types. Finally, through the optimization of a supervised contrastive learning (SCL) strategy, the model can better capture the subtle differences between different fault types. Experimental results show that the proposed method has an accuracy of 99.61%, 97.48%, and 96.22% in the classification task of multiple crack fault types at three speeds, which is significantly better than Multilayer Perceptron (MLP), Residual Network (ResNet), Momentum Contrast (MoCo), and Transformer methods.
Renewable Solar Energy Facilities in South America—The Road to a Low-Carbon Sustainable Energy Matrix: A Systematic Review
Authors: Cacciuttolo Carlos , Guzmán Valentina , Catriñir Patricio
Published: November 2024

South America is a place on the planet that stands out with enormous potential linked to renewable energies. Countries in this region have developed private investment projects to carry out an energy transition from fossil energies to clean energies and contribute to climate change mitigation. The sun resource is one of the more abundant sources of renewable energies that stands out in South America, especially in the Atacama Desert. In this context, South American countries are developing sustainable actions/strategies linked to implementing solar photovoltaic (PV) and concentrated solar power (CSP) facilities and achieving carbon neutrality for the year 2050. As a result, this systematic review presents the progress, new trends, and the road to a sustainable paradigm with disruptive innovations like artificial intelligence, robots, and unmanned aerial vehicles (UAVs) for solar energy facilities in the region. According to the findings, solar energy infrastructure was applied in South America during the global climate change crisis era. Different levels of implementation in solar photovoltaic (PV) facilities have been reached in each country, with the region being a worldwide research and development (R&D) hotspot. Also, high potential exists for concentrated solar power (CSP) facilities considering the technology evolution, and for the implementation of the hybridization of solar photovoltaic (PV) facilities with onshore wind farm infrastructures, decreasing the capital/operation costs of the projects. Finally, synergy between solar energy infrastructures with emerging technologies linked with low-carbon economies like battery energy storage systems (BESSs) and the use of floating solar PV plants looks like a promising sustainable solution.
Dynamic Indoor Environmental Quality Assessment in Residential Buildings: Real-Time Monitoring of Comfort Parameters Using LoRaWAN
Authors: Longares Jose Manuel , Mselle Boniface Dominick , Gutierrez Galindo Jose Ignacio , Ballestin Victor
Published: November 2024

This study addresses an identified literature gap regarding indoor environmental quality in residential buildings, where the primary focus has traditionally been on energy performance rather than comfort optimization. Leveraging the low-cost and easy-to-implement LoRaWAN protocol, this research collects and analyses real-time data on comfort parameters, including temperature, CO2 levels, humidity, lighting, atmospheric pressure, and total volatile organic compounds (TVOC) across various buildings within the INCUBE EU project. The results highlight the dynamic nature of the parameters and emphasize the importance of continuous monitoring to enhance comfort and energy efficiency in smart residential buildings. The findings advocate for integrating technologies like LoRaWAN to optimize indoor environmental quality, ultimately improving residential comfort and occupant well-being.
Optimizing the Operation of an Electrolyzer with Hydrogen Storage Using Two Different Methods: A Trade-Off Between Simplicity and Precision in Minimizing Hydrogen Production Costs Using Day-Ahead Market Prices
Authors: Saars Lukas , Madsen Marius , Meyer Jörg
Published: November 2024

The potential for hydrogen is high in industrial processes that are difficult to electrify. Many companies are asking themselves at what cost they can produce hydrogen using water electrolysis with hydrogen storage. This article presents a user-friendly and less computationally intensive method (called method 1 in the following) for determining the minimum of the levelized cost of hydrogen (LCOH) by optimizing the combination of electrolyzer size and hydrogen storage size and their operation, depending on electricity prices on the day-ahead market. Method 1 is validated by comparing it with a more accurate and complex method (called method 2 in the following). The methods are applied to the example of a medium-sized industrial company in the mechanical engineering sector with a total natural gas demand of 8 GWh per year. The optimized LCOH of the analyzed company in method 1 is 5.00 €/kg. This is only slightly higher than in method 2 (4.97 €/kg). The article shows that a very good estimate of the LCOH can be made with the user-friendly and less computationally intensive method 1. For further validation of the methods, they were applied to other companies and the results are presented below.
Method for Calculating the Unbalanced Current in Ungrounded Double Wye C-Type Harmonic Filters
Authors: Arrieta Meza Sergio , Salinas Salinas Fernando , Trujillo Guajardo Luis Alonso , Rodríguez Alfaro Luis Humberto , González Vázquez Mario Alberto , Rodríguez Maldonado Johnny , Platas-Garza Miguel Angel
Published: November 2024

This paper presents a methodology to calculate the neutral unbalanced current in C-type filters with an ungrounded double Wye topology; this equipment is widely used in the steel sector to mitigate the harmonic content in electrical installations caused by electric furnaces used in metal smelting processes. A common failure in these filters is the current unbalance caused by the degradation of the capacitor and inductor modules, leading to dangerous surges that affect these components, possible harmonic resonances, and deficient filtering by the equipment. Currently, there are no documented strategies for calculating the neutral current that allow for the proper adjustment of neutral protection in this type of equipment, resulting in catastrophic failures, costly unscheduled shutdowns, and potential harm to plant personnel. In this paper, we propose a methodology for calculating the unbalanced current in double Wye C-type harmonic filters, considering the natural degradation of capacitor and inductor modules and based on on-site measurements of the impedances for each element of the equipment. This allows for the predictive maintenance of these devices and the precise adjustment of neutral overcurrent protection. First, we review the operating principle of C-type harmonic filters and the neutral protection scheme. Then, the calculation methodology is proposed and validated in two practical case studies. In the first case, a 45 Mvar C-type second harmonic filter connected to a 34.5 kV bus is analyzed. In the second case, an 18.5 Mvar C-type second harmonic filter, part of a ±80 Mvar STATCOM system, connected to a 34.5 kV bus is examined. In both cases, these filters reduce the harmonic content in two steel plants: the first connected to a 400 kV bus and the second to a 230 kV bus. The results obtained with the proposed methodology were implemented in the protection device for a neutral current imbalance, considering different degradation values of the capacitors, and compared with the manufacturer’s suggested settings. The discussion highlights the good performance of the proposed methodology, particularly in terms of the protection device’s response speed to a risky unbalanced current.
Disentangling the Complex Effects of Seasonal Drought, Floor Mass, and Roots on Soil Microbial Biomass in a Subtropical Moist Forest
Authors: Yang Yali , Liu Xianbin , Li Tao , Gao Jinbo , Liu Yuntong , Wang Chao
Published: November 2024

Severe seasonal droughts driven by global climate change significantly alter the cycling of carbon and nutrients in forest ecosystems, while the investigation into the impacts of floor mass and plant roots on soil microbial biomass within the context of recurrent seasonal droughts is still rare. To investigate the environmental determinants governing soil microbial biomass with the escalating severity of seasonal droughts, we conducted a study in a montane subtropical moist evergreen broad-leaved forest in southwestern China from June 2019 to May 2023. The study results revealed that soil microbial biomass, as well as soil moisture, floor mass, and plant roots, showed an apparent single-hump modal within one year. In the comparative analysis of the soil microbial biomass fluctuation amplitudes across control and watered plots, a discernible disparity was observed, indicating significant differences in microbial biomass dynamics between the respective experimental conditions. The pooled data revealed a statistically significant influence of seasonal drought, floor mass, plant roots, and their reciprocal interactions on the soil microbial biomass, highlighting these factors as pivotal determinants of microbial community dynamics. This study elucidates the interactive regulatory mechanisms by which seasonal drought, floor mass, and plant roots collectively modulate soil microbial biomass within tropical and subtropical forests, offering insights into the complex ecological processes governing microbial community dynamics. This interactive regulation might influence the trajectory of plant species and soil microbial communities, facilitating their adaptive development and evolutionary responses.
Machine Learning-Based Resource Allocation Algorithm to Mitigate Interference in D2D-Enabled Cellular Networks
Authors: Kamruzzaman Md , Sarkar Nurul I. , Gutierrez Jairo
Published: November 2024

Mobile communications have experienced exponential growth both in connectivity and multimedia traffic in recent years. To support this tremendous growth, device-to-device (D2D) communications play a significant role in 5G and beyond 5G networks. However, enabling D2D communications in an underlay, heterogeneous cellular network poses two major challenges. First, interference management between D2D and cellular users directly affects a system’s performance. Second, achieving an acceptable level of link quality for both D2D and cellular networks is necessary. An optimum resource allocation is required to mitigate the interference and improve a system’s performance. In this paper, we provide a solution to interference management with an acceptable quality of services (QoS). To this end, we propose a machine learning-based resource allocation method to maximize throughput and achieve minimum QoS requirements for all active D2D pairs and cellular users. We first solve a resource optimization problem by allocating spectrum resources and controlling power transmission on demand. As resource optimization is an integer nonlinear programming problem, we address this problem by proposing a deep Q-network-based reinforcement learning algorithm (DRL) to optimize the resource allocation issue. The proposed DRL algorithm is trained with a decision-making policy to obtain the best solution in terms of spectrum efficiency, computational time, and throughput. The system performance is validated by simulation. The results show that the proposed method outperforms the existing ones.
Design and Evaluation of Steganographic Channels in Fifth-Generation New Radio
Authors: Walter Markus , Keller Jörg
Published: November 2024

Mobile communication is ubiquitous in everyday life. The fifth generation of mobile networks (5G) introduced 5G New Radio as a radio access technology that meets current bandwidth, quality, and application requirements. Network steganographic channels that hide secret message transfers in an innocent carrier communication are a particular threat in mobile communications as these channels are often used for malware, ransomware, and data leakage. We systematically analyze the protocol stack of the 5G–air interface for its susceptibility to network steganography, addressing both storage and timing channels. To ensure large coverage, we apply hiding patterns that collect the essential ideas used to create steganographic channels. Based on the results of this analysis, we design and implement a network covert storage channel, exploiting reserved bits in the header of the Packet Data Convergence Protocol (PDCP). the covert sender and receiver are located in a 5G base station and mobile device, respectively. Furthermore, we sketch a timing channel based on a recent overshadowing attack. We evaluate our steganographic storage channel both in simulation and real-world experiments with respect to steganographic bandwidth, robustness, and stealthiness. Moreover, we discuss countermeasures. Our implementation demonstrates the feasibility of a covert channel in 5G New Radio and the possibility of achieving large steganographic bandwidth for broadband transmissions. We also demonstrate that the detection of the channel by a network analyzer is possible, limiting its scope to application scenarios where operators are unaware or ignorant of this threat.
Quantitative Trait Loci Mapping for Powdery Mildew Resistance in Wheat Genetic Population
Authors: Zhao Zhiyong , Qiu Yuliang , Cao Menglin , Bi Hongyuan , Si Guan , Meng Xianghai
Published: November 2024

Powdery mildew is a prevalent wheat disease that affects yield and quality. The characterization and fine mapping of genes associated with powdery mildew resistance can benefit marker-assisted breeding. In this study, quantitative trait loci (QTL) associated with powdery mildew were mapped using a high-density 35K DArT genetic linkage map developed from a population of double haploid lines (DHs) created by crossing “Jinmai 33 (a highly resistance line) with Yannong 19 (a highly susceptible line)”. Three stable QTLs for powdery mildew were identified on chromosomes 1B, 2B, and 6A combined with the composite interval graphing method and multiple interval mapping, explaining phenotypic variations (PVE) that range from 4.98% to 13.25%. Notably, Qpm.sxn-1B and Qpm.sxn-2B were identified across three environments, with the PVE ranging from 9.37% to 13.25% and from 4.98% to 5.23%, respectively. The synergistic effects of these QTLs were contributed by the parental line “Jinmai 33”. Qpm.sxn-1B was the major stable QTL, and Qpm.sxn-2B was close to Pm51. Furthermore, Qpm.sxn-6A was identified in two environments, accounting for PVE values of 7.13% and 7.65%, respectively, with the resistance effects originating from the male parent. Remarkably, this locus has not been reported previously, indicating that Qpm.sxn-6A represents a newly dis-covered QTL governing powdery mildew genes. Conclusions Five molecular markers available for mark-er-assisted selection were selected for tracking Qpm.sxn-1B and Qpm.sxn-2B in the program. The identification of this novel newly discovered QTL and markers reported in this study will be useful for marker-assisted selection of powdery mildew resistance.
Application of GIS in Introducing Community-Based Biogas Plants from Dairy Farm Waste: Potential of Renewable Energy for Rural Areas in Bangladesh
Authors: Aktar Kohinur , Yabar Helmut , Mizunoya Takeshi , Islam Md. Monirul
Published: November 2024

Dairy production is one of the most important economic sectors in Bangladesh. However, the traditional management of dairy cow manure and other wastes results in air pollution, eutrophication of surface water, and soil contamination, highlighting the urgent need for more sustainable waste management solutions. To address the environmental problems of dairy waste management, this research explored the potential of community-based biogas production from dairy cow manure in Bangladesh. This study proposed introducing community-based biogas plants using a geographic information system (GIS). The study first applied a restriction analysis to identify sensitive areas, followed by a suitability analysis to determine feasible locations for biogas plants, considering geographical, social, economic, and environmental factors. The final suitable areas were identified by combining the restriction and suitability maps. The spatial distribution of dairy farms was analyzed through a cluster analysis, identifying significant clusters for potential biogas production. A baseline and proposed scenario were designed for five clusters based on the input and output capacities of the biogas plants, estimating the location and capacity for each cluster. The study also calculated electricity generation from the proposed scenario and the net greenhouse gas (GHG) emissions reduction potential of the biogas plants. The findings provide a land-use framework for implementing biogas plants that considers environmental and socio-economic criteria. Five biogas plants were found to be technically and spatially feasible for electricity generation. These plants can collectively produce 31 million m3 of biogas annually, generating approximately 200.60 GWh of energy with a total electricity capacity of 9.8 MW/year in Bangladesh. Implementing these biogas plants is expected to increase renewable energy production by at least 1.25%. Furthermore, the total GHG emission reduction potential is estimated at 104.26 Gg/year CO2eq through the annual treatment of 61.38 thousand tons of dairy manure.
The Implications of Handwashing and Skin Hygiene on Infectious Disease Dynamics: The African Scenario
Authors: Akinsulie Olalekan Chris , Aliyu Victor Ayodele , Idris Ibrahim , Ajulo Samuel , Olukogbe Oluwagbemisola , Ukauwa Chizaram , Akinsulie Jesuferanmi Mary
Published: November 2024

Infectious diseases are largely preventable, yet they continue to pose a significant threat to public health, particularly among vulnerable populations in developing countries. Basic hygiene practices, especially hand and skin hygiene, have been shown to significantly reduce the risk of the cross-transmission of infections, including those caused by multi-drug-resistant organisms. In light of the growing global concern about antimicrobial resistance, there is an urgent need to review and reinforce these practices. This study provides a general overview of the role that hand hygiene practices play in decreasing infectious diseases by conducting a comprehensive review. Multiple online databases, including Google Scholar, Scopus, and Web of Science, were searched using relevant keywords such as “hygiene practices”, “infectious diseases”, “public health”, “Africa”, and “sanitation”. After filtering the search results for relevancy, selected studies were narratively synthesized to present the latest data on hand hygiene and its impact on infectious diseases. Strengthening hand and skin hygiene, along with environmental sanitation and preventive measures, can help reduce the spread of nosocomial infections. By emphasizing the importance of these fundamental hygiene practices, particularly in regions where the burden of infectious diseases is highest, the development of antibiotic-resistant diseases can be prevented, improving patient safety, and enhancing public health outcomes. Adopting comprehensive hygiene policies, including regular handwashing, is crucial for reducing the prevalence of infectious diseases and improving health outcomes in developing countries.
Pathogenic Mechanisms of Collagen TypeⅦA1 (COL7A1) and Transporter Protein Transport and Golgi Organization 1 (TANGO1) in Rheumatoid Arthritis: A New Therapeutic Target
Authors: Chakraborty Debolina , Agnihotri Prachi , Joshi Lovely , Saquib Mohd , Malik Swati , Kumar Uma , Biswas Sagarika
Published: November 2024

Rheumatoid arthritis (RA) is an autoimmune disorder causing chronic inflammation primarily due to collagen regulation and transport imbalances. Collagen VII A1(COL7A1), a major component of anchoring fibrils, regulates inflammation via interacting with its transporter protein Transport and Golgi organization 2 homologs (TANGO1). The study revealed a significant increase in COL7A1 levels in both the plasma and PBMCs of RA patients. Additionally, a positive correlation between COL7A1 and ACCPA (anti-cyclic citrullinated peptide antibody) levels was observed among RA patients. TANGO1 mRNA expression was also found to be elevated in PBMCs. The knockdown of COL7A1 in RA synoviocytes using siRNA affected the expression of TANGO1 and inflammatory genes. Western blot analysis showed that COL7A1 si-RNA in TNF-α-induced SW982 cells reduced the expression of COL7A1, TANGO1, and NF-kBp65. The mRNA expression of inflammatory genes TNF-α, NF-kB p65, and IL-6 simultaneously decreased after the knockdown of COL7A1, as measured by qRT-PCR. An in silico analysis found 20 common interacting proteins of COL7A1 and TANGO1, with pathway enrichment analysis linking them to antigen presentation, class I and II MHC, and adaptive immunity pathways in RA. Among the common proteins, The DisGeNET database depicted that COL1A1, MIA3, SERPINH1, and GORASP1 are directly linked to RA. The molecular docking analysis of COL7A1 and TANGO1 revealed strong interaction with a −1013.4 energy-weighted score. Common RA-used drugs such as Adalimumab, Golimumab, and Infliximab were found to inhibit the interaction between COL7A1 and TANGO1, which can further impede the transport of COL7A1 from ER exit sites, indicating COL7A1 and TANGO1 as potential therapeutic targets to diminish RA progression.
Best IDEAS: Special Issue of the International Database Engineered Applications Symposium
Authors: Revesz Peter Z.
Published: November 2024

Database engineered applications cover a broad range of topics including various design and maintenance methods, as well as data analytics and data mining algorithms and learning strategies for enterprise, distributed, or federated data stores [...]
Influence of Previous Infestation of Wheat Leaves and Ears by Sitobion avenae on Interaction with Rhopalosiphum padi
Authors: Bühler Andreas , Schweiger Rabea
Published: November 2024

Different herbivorous species that share a host plant may interact via competition or facilitation, depending on whether the interaction partners are hindered by or benefit from the interaction. Sap-sucking insects, such as aphids, can influence each other indirectly by altering the composition of the shared phloem sap. Aphid-induced changes in the plant may affect aphid performance and lead to a shift in the balance between different co-occurring aphid species. In this study, we compared the performance of the English grain aphid (Sitobion avenae) and the bird cherry-oat aphid (Rhopalosiphum padi) simultaneously infesting leaves or ears of wheat (Triticum aestivum) plants, which had been either previously infested by S. avenae or kept uninfested. Colonies of S. avenae were larger on ears than on leaves, while the opposite pattern was found for R. padi. Pre-infestation of ears, but not of leaves, by S. avenae led to a higher total aphid number and colony size of S. avenae at some time points. The balance between the two species was only slightly affected by previous infestation at some time points. The findings of this study contribute to the understanding of plant–aphid as well as aphid–aphid interactions in agricultural fields.
The Nexus of Influencers and Purchase Intention: Does Consumer Brand Co-Creation Behavior Matter?
Authors: Kilumile Jerum William , Zuo Li
Published: November 2024

The advancement of social media has led to the rise of influencers who are powerful in shaping consumer purchasing behavior. While influencer attributes play a role in shaping consumer behavior, little attention has been paid to the interplay of the attributes of social presence, influencer congruence with the endorsed brand, and purchasing intention. Thus, the current study investigates the effect of social presence and influencer congruence on purchase intention through consumer brand co-creation behavior. A survey approach was used to collect data from consumers who actively interact with at least one social media influencer in Tanzania. Using a sample size of 422, PLS-SEM was applied to test the hypotheses. The results showed that social presence and congruence affected consumer brand co-creation behavior, which subsequently affected purchase intention. Unlike influencer congruence, the social presence of the influencer did not directly affect purchase intention. Furthermore, the study holds that stimulating consumer brand co-creation behavior catalyzes the effects of social presence and influencer congruence on purchase intention. Therefore, in designing an influencer marketing campaign, selecting an influencer with social presence and congruence attribute is pivotal for the effectiveness of the influencer marketing strategy. Marketers should be relational rather than transaction-focused when designing and implementing the influencer marketing strategy.
Soil-Dwelling Arthropods’ Response to Land Abandonment Is Taxon-Specific in a Mediterranean Olive Grove Agroecosystem
Authors: Dellapiana Matteo , Caselli Alice , Monteforti Gaia , Petacchi Ruggero , Moonen Anna-Camilla
Published: November 2024

Agricultural land abandonment is an increasing concern in the EU, especially in Mediterranean regions where traditional perennial crops like olive groves are left unmanaged. This study focuses on the impact of land abandonment on soil-dwelling arthropods in olive groves in Monte Pisano, Tuscany, examining ants, spiders, myriapods, and carabids. Using Generalized Linear Mixed Models, the potential olive fruit fly predator community was analyzed over two sampling periods repeated over two years to assess the effects of both abandonment and its proximity to managed fields. Ants were significantly more abundant in managed fields next to abandoned ones, though there were no differences between managed and abandoned fields. Spider abundance did not respond to abandonment nor proximity. Myriapods were more abundant in abandoned fields during the first sampling period, but the proximity of an abandoned field had no effect. Carabids were more abundant in managed fields, especially those adjacent to other managed fields. These results indicate that arthropod responses to abandonment are taxon-specific, highlighting that a mosaic of managed and abandoned fields can both enhance and reduce olive fruit fly predator abundance. Conservation strategies should integrate varying management intensities to optimize biodiversity in Mediterranean agroecosystems. Future research should investigate long-term effects and specific predator responses to abandonment.
Identification of Secondary Metabolites by Multi-Omics Methods
Authors: Fang Xin
Published: November 2024

Plant natural products, also known as plant specialized metabolites (SMs) due to their lineage-specific distribution, are small molecules synthesized by plants to adapt to changing environments [...]
Insight into the Corrosion Inhibition Performance of Pistia stratiotes Leaf Extract as a Novel Eco-Friendly Corrosion Inhibitor for Mild Steel in 1 M HCl Solution
Authors: Carmona-Hernandez Andres , Barreda-Serrano María Concepción , Saldarriaga-Noreña Hugo Albeiro , López-Sesenes Roy , González-Rodríguez José Gonzalo , Mejía-Sánchez Edgar , Ramírez-Cano Jorge Alberto , Orozco-Cruz Ricardo , Galván-Martínez Ricardo
Published: November 2024

In this research, the Pistia stratiotes leaf (PSL) extract was evaluated as a green corrosion inhibitor for the corrosion of mild steel in 1 M HCl using electrochemical measurements and surface characterization. Electrochemical impedance spectroscopy (EIS) spectra showed that the inhibitory activity of the phytochemical compounds enhanced with increasing concentration up to 400 ppm, which was reflected in the increase in the charge transfer resistance and double-layer capacitance. Regarding the effect of immersion time, EIS results indicated that the persistence of the PSL extract was between 4 h and 8 h of exposure time. From polarization curve (PCC) results, the best performance of the corrosion inhibitor was achieved at 400 ppm with an inhibition efficiency of 93.7%. The PSL extract acted as a mixed-type corrosion inhibitor. The adsorption of the phytomolecules on the metal surface obeyed the Langmuir isotherm through a mixed mechanism (physical and chemical interactions) dominated by physisorption. Scanning electron microscopy (SEM) examinations and energy-dispersive X-ray spectroscopy (EDS) elemental analysis of the corroded samples confirmed the anticorrosive protection of the PSL extract. Chemical characterization of the PSL extract by GC-MS revealed the presence of phytol, steroids, and aromatic and long-chain unsaturated fatty acid esters, in order of abundance. Chemical quantum calculations by DFT allowed for determining that the phthalic acid, di(2-propylpentyl) ester compound has the most significant potential to act as the main active component in corrosion inhibition activity.
Quercetin: A Promising Candidate for the Management of Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD)
Authors: Markowska Julia , Kasprzak-Drozd Kamila , Niziński Przemysław , Dragan Magdalena , Kondracka Adrianna , Gondek Ewa , Oniszczuk Tomasz , Oniszczuk Anna
Published: November 2024

Metabolic dysfunction-associated steatotic liver disease (MASLD) represents a chronic liver disease. The development of MASLD is influenced by a multitude of diseases associated with modern lifestyles, including but not limited to diabetes mellitus, hypertension, hyperlipidaemia and obesity. These conditions are often consequences of the adoption of unhealthy habits, namely a sedentary lifestyle, a lack of physical activity, poor dietary choices and excessive alcohol consumption. The treatment of MASLD is primarily based on modifying the patient’s lifestyle and pharmacological intervention. Despite the absence of FDA-approved pharmacological agents for the treatment of MASLD, several potential therapeutic modalities have demonstrated efficacy in reversing the histopathological features of the disease. Among the botanical ingredients belonging to the flavonoid group is quercetin (QE). QE has been demonstrated to possess a number of beneficial physiological effects, including anti-inflammatory, anticancer and antifungal properties. Additionally, it functions as a natural antioxidant. Preclinical evidence indicates that QE may play a beneficial role in reducing liver damage and improving metabolic health. Early human studies also suggest that QE may be an effective treatment for MASLD due to its antioxidant, anti-inflammatory, and lipid-regulating properties. This review aims to summarize the available information on the therapeutic effects of QE in MASLD.