bluuebunny/crossref_metadata_2025 huggingface dataset:
Tissue Regeneration and Remodeling in Rat Models after Application of Hypericum perforatum L. Extract-Loaded Bigels
Authors: Sotirova Yoana , Kiselova-Kaneva Yoana , Vankova Deyana , Tasinov Oskan , Ivanova Diana , Popov Hristo , Hristova Minka , Nikolova Krastena , Andonova Velichka
Published: May 2024

The wound-healing effect of St. John’s Wort (SJW) is mainly attributed to hyperforin (HP), but its low stability restricts its topical administration. This study investigates how “free” HP-rich SJW extract (incorporated into a bigel; B/SJW) and extract “protected” by nanostructured lipid carriers (also included in a biphasic semisolid; B/NLC-SJW) affect tissue regeneration in a rat skin excision wound model. Wound diameter, histological changes, and tissue gene expression levels of fibronectin (Fn), matrix metalloproteinase 8 (MMP8), and tumor necrosis factor-alpha (TNF-α) were employed to quantify the healing progress. A significant wound size reduction was achieved after applying both extract-containing semisolids, but after a 21-day application period, the smallest wound size was observed in the B/NLC-SJW-treated animals. However, the inflammatory response was affected more favorably by the bigel containing the “free” SJW extract, as evidenced by histological studies. Moreover, after the application of B/SJW, the expression of Fn, MMP8, and TNF-α was significantly higher than in the positive control. In conclusion, both bigel formulations exhibited beneficial effects on wound healing in rat skin, but B/SJW affected skin restoration processes in a comprehensive and more efficient way.
Factors Influencing Social Isolation among Cancer Patients: A Systematic Review
Authors: Wang Can , Qiu Xiaoke , Yang Xueli , Mao Jiayu , Li Qiuping
Published: May 2024

(1) Background: Social isolation, which has numerous adverse effects on health status, is prevalent among cancer patients. This review proposes to identify the influencing factors of social isolation among cancer patients. (2) Methods: Articles published in English or Chinese from six electronic databases before December 2023 were identified via a systematic search. A manual search was also performed. (3) Results: Twenty-eight studies were identified in this systematic review. The factors associated with social isolation can be summarized into the following categories: demographic characteristics, having cancer, health status, coping, social support and social interaction. Despite the heterogeneity, 20 factors were significantly associated with social isolation, including age, gender, comorbidity burden, education level, residence, medical insurance, occupation status, personality, race, smoking status, having children, not living alone, household income level, marital status, the role of primary caregiver, physical health status, mental health status, social health status, coping styles, and the level of social support and social interaction. (4) Conclusions: The systematic review showed that cancer patients’ social isolation was influenced by their demographic characteristics, cancer-related factors, physical condition, psychological status, social health status, coping styles, and level of social support and social interaction. In addition, future group intervention could be considered to improve social isolation.
Enhancing Secondary Metabolite Production in Pelargonium graveolens Hort. Cell Cultures: Eliciting Effects of Chitosan and Jasmonic Acid on Bioactive Compound Production
Authors: Elbouzidi Amine , Taibi Mohamed , Baraich Abdellah , Haddou Mounir , Loukili El Hassania , Asehraou Abdeslam , Mesnard François , Addi Mohamed
Published: May 2024

This study explores the effects of chitosan (CHT) and jasmonic acid (JA) elicitors on rose-scented geranium (Pelargonium graveolens Hort.) cell suspension cultures, aiming to enhance the production of phenolics and flavonoids and antioxidant properties. Elicitation with CHT and JA resulted in varied biomass yields and callus characteristics, with higher concentrations generally leading to increased phenolic accumulation. Optimal biomass was achieved with CHT4 (75 mg/mL) and JA3 (50 µM) treatments. HPLC-DAD analysis revealed changes in phenolic compound composition and quantities, with specific compounds induced by either CHT4 or JA3. For instance, gallic acid content increased significantly in CHT4-treated cells, while catechin content increased notably in both CHT4 and JA3 treatments. Antioxidant enzyme activities like superoxide dismutase and peroxidase increased with elicitor concentration, particularly in CHT4 and JA3 treatments. Both treatments exhibited potent antioxidant activity, with JA3 exhibiting the lowest IC50 value in the DPPH assay and highest total antioxidant capacity (TAC) values. Surprisingly, both CHT4 and JA3 extracts effectively inhibited tyrosinase activity. These findings underscore the efficacy of CHT and JA elicitors in enhancing phenolic and flavonoid production, boosting antioxidant capacity, and inhibiting tyrosinase activity in P. graveolens cultures, offering promising implications for further research and industrial applications in pharmaceutical and cosmetic sectors.
QUMA: Quantum Unified Medical Architecture Using Blockchain
Authors: Balasubramaniam Akoramurthy , Surendiran B.
Published: May 2024

A significant increase in the demand for quality healthcare has resulted from people becoming more aware of health issues. With blockchain, healthcare providers may safely share patient information electronically, which is especially important given the sensitive nature of the data contained inside them. However, flaws in the current blockchain design have surfaced since the dawn of quantum computing systems. The study proposes a novel quantum-inspired blockchain system (Qchain) and constructs a unique entangled quantum medical record (EQMR) system with an emphasis on privacy and security. This Qchain relies on entangled states to connect its blocks. The automated production of the chronology indicator reduces storage capacity requirements by connecting entangled BloQ (blocks with quantum properties) to controlled activities. We use one qubit to store the hash value of each block. A lot of information regarding the quantum internet is included in the protocol for the entangled quantum medical record (EQMR). The EQMR can be accessed in Medical Internet of Things (M-IoT) systems that are kept private and secure, and their whereabouts can be monitored in the event of an emergency. The protocol also uses quantum authentication in place of more conventional methods like encryption and digital signatures. Mathematical research shows that the quantum converged blockchain (QCB) is highly safe against attacks such as external attacks, intercept measure -repeat attacks, and entanglement measure attacks. We present the reliability and auditability evaluations of the entangled BloQ, along with the quantum circuit design for computing the hash value. There is also a comparison between the suggested approach and several other quantum blockchain designs.
An Intelligent Model and Methodology for Predicting Length of Stay and Survival in a Critical Care Hospital Unit
Authors: Maldonado Belmonte Enrique , Oton-Tortosa Salvador , Gutierrez-Martinez Jose-Maria , Castillo-Martinez Ana
Published: May 2024

This paper describes the design and methodology for the development and validation of an intelligent model in the healthcare domain. The generated model relies on artificial intelligence techniques, aiming to predict the length of stay and survival rate of patients admitted to a critical care hospitalization unit with better results than predictive systems using scoring. The proposed methodology is based on the following stages: preliminary data analysis, analysis of the architecture and systems integration model, the big data model approach, information structure and process development, and the application of machine learning techniques. This investigation substantiates that automated machine learning models significantly surpass traditional prediction techniques for patient outcomes within critical care settings. Specifically, the machine learning-based model attained an F1 score of 0.351 for mortality forecast and 0.615 for length of stay, in contrast to the traditional scoring model’s F1 scores of 0.112 for mortality and 0.412 for length of stay. These results strongly support the advantages of integrating advanced computational techniques in critical healthcare environments. It is also shown that the use of integration architectures allows for improving the quality of the information by providing a data repository large enough to generate intelligent models. From a clinical point of view, obtaining more accurate results in the estimation of the ICU stay and survival offers the possibility of expanding the uses of the model to the identification and prioritization of patients who are candidates for admission to the ICU, as well as the management of patients with specific conditions.
Representative Dynamic Accumulation of Hydrate-Bearing Sediments in Gas Chimney System since 30 Kyr BP in the QiongDongNan Area, Northern South China Sea
Authors: Guan Jinan , Wang Menghe , Zhang Wei , Wan Lihua , Haeckel Matthias , Wu Qi
Published: May 2024

A stratigraphic complex composed of mass transport deposits (MTDs), where the gas occurrence allows for the formation of a gas chimney and pipe structure, is identified based on seismic interpretation in the QiongDongNan area of the northern South China Sea. During the Fifth Gas Hydrate Drilling Expedition of the Guangzhou Marine Geological Survey, this type of complex morphology that has close interaction with local gas hydrate (GH) distribution was eventually confirmed. A flow-reaction model is built to explore the spatial–temporal matching evolution process of massive GH reservoirs since 30 kyr before the present (BP). Five time snapshots, including 30, 20, 10, and 5 kyr BP, as well as the present, have been selected to exhibit key strata-evolving information. The results of in situ tensile estimation imply fracturing emergence occurs mostly at 5 kyr BP. Six other environmental scenarios and three cases of paleo-hydrate existence have been compared. The results almost coincide with field GH distribution below the bottom MTD from drilling reports, and state layer fracturing behaviors always feed and probably propagate in shallow sediments. It can be concluded that this complex system with 10% pre-existing hydrates results in the exact distribution and occurrence in local fine-grained silty clay layers adjacent to upper MTDs.
Using a Public Preference Questionnaire and Eye Movement Heat Maps to Identify the Visual Quality of Rural Landscapes in Southwestern Guizhou, China
Authors: Yao Xuhui , Sun Yan
Published: May 2024

Rural landscapes serve as important platforms to determine the landscape characteristics (LCs) of rural areas, demonstrating the landscape characteristics specific to certain regions to the public. However, the development trend of urban and rural areas is continuous and impacts the characteristics of rural landscapes, which directly affects the public’s visual experience and landscape perception. In order to improve the characteristics of rural landscapes, this study evaluates and analyzes their visual quality based on public preferences and eye movement heat maps. The results show that most subjects have a high preference for horizontal, open-view rural landscapes with fields and landform features as the dominant landscape elements. This study also found that the combination of strip-like or planar settlement buildings with regional characteristics and landform features has an active impact on the visual quality of rural landscapes. These results show that rural landscapes characterized by scattered settlement buildings without significant regional characteristics, horizontally curved roads, bridges, and other human-made landscape elements, and mixed and disorderly vegetation have low landscape preference, which degrades their visual quality. These research results provide crucial suggestions for landscape managers to protect and renew rural landscape features.
A Proximity-Based Approach for the Identification of Fallen Species of Street Trees during Strong Wind Events in Lisbon
Authors: Mendes Flávio Henrique , Petean Felipe Coelho de Souza , Correia Ezequiel Luís Tavares , Lopes António Manuel Saraiva
Published: May 2024

The benefits of urban trees are very well known, but they can fall and cause damage, putting people’s lives at risk. There are few studies on the vulnerability of species to falling. In Lisbon (Portugal), fallen trees have been recorded since 1990 without, however, the identification of the species, knowledge of which is fundamental for improving their management. This study aimed to identify the tree species most vulnerable to falling in Lisbon through a proximity-based approach of known species, since the city has 47,713 inventoried trees, of which only 26,595 (55.7%) were identified. Four criteria were designed to presume the species: (i) the tree must be within 15 m from the street median axis; (ii) at least three individuals within 30 m from the occurrence must belong to the same species; (iii) the surrounding species must be representative in the street (>50%); and (iv) visual identification of avenue medians. Through this approach, considering 3767 fallen trees, it was possible to identify 736 cases, representing 19.5% of all occurrences throughout the studied time and representing 43 different species. Species like Morus nigra L., Tipuana tipu (Benth.) Kuntze, Liriodendron tulipifera L., Prunus cerasifera Ehrh., and Koelreuteria paniculata Laxm. were most vulnerable. Additionally, in 57.7% of cases (425 fallen trees), the wind speed 12-h before the occurrence was greater than 7 m s−1. This research will provide important data for urban planners seeking to maximize the ecosystem services of urban trees.
Interaction Studies of Hexameric and Pentameric IgMs with Serum-Derived C1q and Recombinant C1q Mimetics
Authors: John Maria Magdalena , Hunjadi Monika , Hawlin Vanessa , Reiser Jean-Baptiste , Kunert Renate
Published: May 2024

The interaction between IgM and C1q represents the first step of the classical pathway of the complement system in higher vertebrates. To identify the significance of particular IgM/C1q interactions, recombinant IgMs were used in both hexameric and pentameric configurations and with two different specificities, along with C1q derived from human serum (sC1q) and two recombinant single-chain variants of the trimeric globular region of C1q. Interaction and complement activation assays were performed using the ELISA format, and bio-layer interferometry measurements to study kinetic behavior. The differences between hexameric and pentameric IgM conformations were only slightly visible in the interaction assay, but significant in the complement activation assay. Hexameric IgM requires a lower concentration of sC1q to activate the complement compared to pentameric IgM, leading to an increased release of C4 compared to pentameric IgM. The recombinant C1q mimetics competed with sC1q in interaction assays and were able to inhibit complement activation. The bio-layer interferometry measurements revealed KD values in the nanomolar range for the IgM/C1q interaction, while the C1q mimetics exhibited rapid on and off binding rates with the IgMs. Our results make C1q mimetics valuable tools for developing recombinant C1q, specifically its variants, for further scientific studies and clinical applications.
Valorization of Ginkgo biloba Leaf Powder as a Substrate in King Oyster Mushroom (Pleurotus eryngii) Cultivation
Authors: Li Haikang , Liu Peng , Li Zihao , Xu Congtao , Pan Jinlong , Zhou Yi , Hu Qingxiu , Zheng Suyue , Zou Yajie
Published: May 2024

Ginkgo biloba is widely planted as a colorful foliage tree, and its leaf can be used as a biomass energy source, but it has been underutilized for a long time. The aim of this study was to investigate the potential of garden waste as a substrate component in the cultivation process of the king oyster mushroom (Pleurotus eryngii), with the goal of enhancing both the yield of P. eryngii and the efficiency of energy use. The percentages of G. biloba leaf powder in the substrate were 10.5% and 21% to replace sawdust or sugarcane bagasse in a typical substrate. A substrate formulation that could completely replace sawdust and sugarcane bagasse was selected by analyzing mycelial growth rate, days of production, fruiting body length, biological efficiency, yield, stipe thickness, pileus diameter and laccase activity. The results showed that Y1 (treatment with 21% G. biloba leaf powder and sugarcane bagasse) had the highest yield (303.1 ± 31.9 g), which was higher than that of CK (control) (259.3 ± 37.4 g). The crude fiber content of the samples grown on substrate Y1 (as 7.43%) was higher than CK (7.37%). In addition, P. eryngii grown on substrate Y1 had the highest laccase activity for the complete colonization of the mycelium. Thus, these findings suggest that G. biloba leaf powder represents a viable and economical supplement for enhancing both the yield and quality of P. eryngii.
Molecular Diversity and Combining Ability in Newly Developed Maize Inbred Lines under Low-Nitrogen Conditions
Authors: Kamara Mohamed M. , Mansour Elsayed , Khalaf Ahmed E. A. , Eid Mohamed A. M. , Hassanin Abdallah A. , Abdelghany Ahmed M. , Kheir Ahmed M. S. , Galal Ahmed A. , Behiry Said I. , Silvar Cristina , El-Hendawy Salah
Published: May 2024

Nitrogen is an essential element for maize growth, but excessive application can lead to various environmental and ecological issues, including water pollution, air pollution, greenhouse gas emissions, and biodiversity loss. Hence, developing maize hybrids resilient to low-N conditions is vital for sustainable agriculture, particularly in nitrogen-deficient soils. Combining ability and genetic relationships among parental lines is crucial for breeding superior hybrids under diverse nitrogen levels. This study aimed to assess the genetic diversity of maize inbred lines using simple sequence repeat (SSR) markers and evaluate their combining ability to identify superior hybrids under low-N and recommended conditions. Local and exotic inbred lines were genotyped using SSR markers, revealing substantial genetic variation with high gene diversity (He = 0.60), moderate polymorphism information content (PIC = 0.54), and an average of 3.64 alleles per locus. Twenty-one F1 hybrids were generated through a diallel mating design using these diverse lines. These hybrids and a high yielding commercial check (SC-131) were field-tested under low-N and recommended N conditions. Significant variations (p < 0.01) were observed among nitrogen levels, hybrids, and their interaction for all recorded traits. Additive genetic variances predominated over non-additive genetic variances for grain yield and most traits. Inbred IL3 emerged as an effective combiner for developing early maturing genotypes with lower ear placement. Additionally, inbreds IL1, IL2, and IL3 showed promise as superior combiners for enhancing grain yield and related traits under both low-N and recommended conditions. Notably, hybrids IL1×IL4, IL2×IL5, IL2×IL6, and IL5×IL7 exhibited specific combining abilities for increasing grain yield and associated traits under low-N stress conditions. Furthermore, strong positive associations were identified between grain yield and specific traits like plant height, ear length, number of rows per ear, and number of kernels per row. Due to their straightforward measurability, these relationships underscore the potential of using these traits as proxies for indirect selection in early breeding generations, particularly under low-N stress. This research contributes to breeding nitrogen-efficient maize hybrids and advances our understanding of the genetic foundations for tolerance to nitrogen limitations.
Progress in Theoretical Modelling of Macroscopic and Microscopic Dynamics of Bolted Joints in Complex Equipment
Authors: Lu Xiaohan , Zhu Min , Wang Shengao , Li Shengnan , Xu Zijian , Liu Yilong
Published: May 2024

Bolt connection structure is a common form of connecting large and complex equipment. Its object contact surfaces under normal and tangential loads will appear in the form of slip and adhesion, which affects the service life of mechanical equipment. Bolted connection structures cause changes in stiffness and damping, which have great impacts on the dynamic characteristics. Experimental studies and numerical simulations have difficulty predicting the overall performance of bolts in a timely manner, hence cannot ensure the reliability and safety of complex equipment. In order to improve the overall performance of complex equipment, it is necessary to study the contact theory model of bolt connection structures. Based on the relationship between friction force and velocity in the classical friction model, the mathematical expressions of restoring force and tangential displacement in the kinetic theory model are deduced to predict the stiffness degradation of the bolted structure and to characterise the kinetic properties and laws of the bolted structure. From the perspective of theoretical calculation, it makes up for the situation in which it is difficult to measure the performance of bolts due to the existence of spanning scale and provides theoretical support for the reliability of connecting complex equipment. This paper summarises and analyses the contact theory model of bolt connection structures, ranging from macroscopic to microscopic; describes the static friction model, kinetic friction model, statistical summation contact model, fractal contact model; and analyses the influencing factors of the microscopic contact mechanism. The advantages and disadvantages of the kinetic theoretical models are described, the manifestation of friction and the relationship between tangential force–displacement are discussed, and the key research directions of the kinetic theoretical models of bolted structures in the future are elucidated.
Optimizing Machining Efficiency in High-Speed Milling of Super Duplex Stainless Steel with SiAlON Ceramic Inserts
Authors: Guimarães Monica , Saciotto Victor , He Qianxi , DePaiva Jose M. , Diniz Anselmo , Veldhuis Stephen
Published: May 2024

Super duplex stainless steels (SDSSs) are widely utilized across industries owing to their remarkable mechanical properties and corrosion resistance. However, machining SDSS presents considerable challenges, particularly at high speeds. This study investigates the machinability of SDSS grade SAF 2507 (UNS S32750) under high-speed milling conditions using SiAlON insert tools. Comprehensive analysis of key machinability indicators, including chip compression ratio, chip analysis, shear angle, tool wear, and friction conditions, reveals that lower cutting speeds optimize machining performance, reducing cutting forces and improving chip formation. Finite element analysis (FEA) corroborates the efficacy of lower speeds and moderate feed rates. Furthermore, insights into friction dynamics at the tool–chip interface are offered, alongside strategies for enhancing SDSS machining. This study revealed the critical impact of cutting speed on cutting forces, with a significant reduction in forces at cutting speeds of 950 and 1350 m/min, but a substantial increase at 1750 m/min, particularly when tool wear is severe. Furthermore, the combination of 950 and 1350 m/min cutting speeds with a 0.2 mm/tooth feed rate led to smoother chip surfaces and decreased friction coefficients, thus enhancing machining efficiency. The presence of stick–slip phenomena at 1750 m/min indicated thermoplastic instability. Optimizing machining parameters for super duplex stainless steel necessitates balancing material removal rate and surface integrity, as the latter plays an important role in ensuring long-term performance and reliability in critical applications.
The Adjoint of α-Times-Integrated C-Regularized Semigroups
Authors: Bachar Mostafa
Published: May 2024

We consider an operator {S(t)}t≥0 on a Banach space X with generator A, characterized by being an α-times-integrated C-regularized semigroup. The adjoint family S*(t):X*→X* is introduced for analysis. {S*(t)}t≥0 maintains the characteristics of an α-times-integrated C-regularized semigroup, though with strong continuity and Bochner integrals being substituted by weak* continuity and weak* integrals, respectively. Our investigation focuses on the closed subspace X⊙, where {S*(t)}t≥0 exhibits strong continuity. Additionally, a comparison between the adjoint A* of A and the generator of the adjoint family is conducted.
Remote Sensing Image Classification Based on Neural Networks Designed Using an Efficient Neural Architecture Search Methodology
Authors: Song Lan , Ding Lixin , Yin Mengjia , Ding Wei , Zeng Zhigao , Xiao Chunxia
Published: May 2024

Successful applications of machine learning for the analysis of remote sensing images remain limited by the difficulty of designing neural networks manually. However, while the development of neural architecture search offers the unique potential for discovering new and more effective network architectures, existing neural architecture search algorithms are computationally intensive methods requiring a large amount of data and computational resources and are therefore challenging to apply for developing optimal neural network architectures for remote sensing image classification. Our proposed method uses a differentiable neural architecture search approach for remote sensing image classification. We utilize a binary gate strategy for partial channel connections to reduce the sizes of the network parameters, creating a sparse connection pattern that lowers memory consumption and NAS computational costs. Experimental results indicate that our method achieves a 15.1% increase in validation accuracy during the search phase compared to DDSAS, although slightly lower (by 4.5%) than DARTS. However, we reduced the search time by 88% and network parameter size by 84% compared to DARTS. In the architecture evaluation phase, our method demonstrates a 2.79% improvement in validation accuracy over a manually configured CNN network.
Using Game Theory to Explore the Multinational Supply Chain Production Inventory Models of Various Carbon Emission Policy Combinations
Authors: Pan Jialiang , Wu Kun-Shan , Yang Chih-Te , Lu Chi-Jie , Lu Shin
Published: May 2024

This study uses Stackelberg game theory, considering different combinations of carbon emission reduction policies and that high-carbon-emission enterprises may face various carbon emission reduction regulations, to explore the production inventory problems in a multinational supply chain system. The purpose is to determine the manufacturer’s optimal production, shipping, carbon reduction investment, and the retailer’s replenishment under the equilibrium for different carbon emission policy combinations. To develop the production inventory models, this study first develops the total profit and carbon emission functions of the supply chain members, respectively, and then obtains the optimal solutions and total profits of the manufacturer and the retailer under different carbon emission policy combinations through the mathematical analysis method. Further, this study used several numerical examples to solve and compare the proposed models. The results of numerical analysis show that regardless of the increase in carbon price or carbon tax, the manufacturer and retailer will adjust their decisions to reduce carbon emissions. Specifically, an increase in the carbon price contributes to an increase in the total profit of manufacturers, while an increase in the carbon tax reduces the total profit of manufacturers. This study also explores a sensitivity analysis on the main parameters and has yielded meaningful management insights. For instance, in cases where low-carbonization strategies are required, the manufacturer or retailer can effectively reduce the carbon emissions resulting from production or purchasing activities, thereby significantly reducing overall carbon emissions. It is believed that the results of this study can provide enterprises/supply chains with reference to their respective production, transportation, carbon reduction investment, and inventory decisions under carbon emission policies, as well as information on partner selection and how to adjust decisions under environmental changes.
Analysis of Soil Slope Stability under Underground Coal Seam Mining Using Improved Radial Movement Optimization with Lévy Flight
Authors: Li Haotian , Jin Liangxing , Liu Pingting
Published: May 2024

Underground coal seam mining significantly reduces the stability of slopes, especially soil slopes, and an accurate evaluation of the stability of soil slopes under underground mining conditions is crucial for mining safety. In this study, the impact of coal seam mining is considered as the additional horizontal and vertical stresses acting on the slope, and an equation for calculating the safety factor of soil slopes under underground mining conditions is derived based on the rigorous Janbu method. Then, the Improved Radial Movement Optimization (IRMO) algorithm is introduced and combined with Lévy flight optimization to conduct global optimization searches, obtaining the critical sliding surface and corresponding safety factor of the soil slope under underground coal seam mining. Through comparisons with the numerical simulation results in three different case studies, the feasibility of applying the IRMO algorithm with Lévy flight to analyze the stability of soil slopes under underground mining is demonstrated. This ensures the accuracy and stability of the calculation results while maintaining a high convergence efficiency. Furthermore, the effects of the mining thickness and mining direction on slope stability are analyzed, and the results indicate that a smaller mining thickness and mining along the slope are advantageous for slope stability. The method proposed in this study provides valuable insights for preventing the slope instability hazards caused by underground coal seam mining.
Parameterizations of Delaunay Surfaces from Scratch
Authors: Mladenova Clementina D. , Mladenov Ivaïlo M.
Published: May 2024

Starting with the most fundamental differential-geometric principles we derive here new explicit parameterizations of the Delaunay surfaces of revolution which depend on two real parameters with fixed ranges. Besides, we have proved that these parameters have very clear geometrical meanings. The first one is responsible for the size of the surface under consideration and the second one specifies its shape. Depending on the concrete ranges of these parameters any of the Delaunay surfaces which is neither a cylinder nor the plane is classified unambiguously either as a first or a second kind Delaunay surface. According to this classification spheres are Delaunay surfaces of first kind while the catenoids are Delaunay surfaces of second kind. Geometry of both classes is established meaning that the coefficients of their fundamental forms are found in explicit form.
Preserving Global Information for Graph Clustering with Masked Autoencoders
Authors: Chen Rui
Published: May 2024

Graph clustering aims to divide nodes into different clusters without labels and has attracted great attention due to the success of graph neural networks (GNNs). Traditional GNN-based clustering methods are based on the homophilic assumption, i.e., connected nodes belong to the same clusters. However, this assumption is not always true, as heterophilic graphs are also ubiquitous in the real world, which limits the application of GNNs. Furthermore, these methods overlook global positions, which can result in erroneous clustering. To solve the aforementioned problems, we propose a novel model called Preserving Global Information for Graph Clustering with Masked Autoencoders (GCMA). We first propose a low–high-pass filter to capture meaningful low- and high-frequency information. Then, we propose a graph diffusion method to obtain the global position. Specifically, a parameterized Laplacian matrix is proposed to better control the global direction. To further enhance the learning ability of the autoencoders, we design a model with a masking strategy that enhances the learning ability. Extensive experiments on both homophilic and heterophilic graphs demonstrate GCMA’s advantages over state-of-the-art baselines.
Epidemiological Study of Pathogens in Spontaneous Bacterial Peritonitis in 2017–2024—A Preliminary Report of the University Hospital in South-Eastern Poland
Authors: Gruszecka Jolanta , Filip Rafał
Published: May 2024

Spontaneous Bacterial Peritonitis (SBP) is a serious complication and a common cause of death in patients with liver cirrhosis. Between January 2017 and March 2024, a retrospective study was conducted involving 302 patients (>18 years old) with ascites treated at a tertiary referral center in south-eastern Poland. Microbiological analysis of the ascitic fluids was performed in all patients. The presence of microorganisms was found in samples from 17 patients, and 21 pathogens were isolated, including 15 Gram-positive bacteria and 6 Gram-negative bacteria. Staphylococcus epidermidis, MRCNS (methicillin-resistant coagulase-negative staphylococci, resistant to all beta-lactam antibiotics: penicillins, penicillins with beta-lactamase inhibitor, cephalosporins and carbapenems) was the main pathogen detected (19.05%, 4/21), followed by Enterococcus faecalis (9.52%, 2/21), Enterococcus faecium (9.52%, 2/21), Staphylococcus haemolyticus, MRCNS (4.76%, 1/21), Streptococcus mitis (9.52%, 2/21), Streptococcus parasanguinis (9.52%, 2/21), Micrococcus luteus (4.76%, 1/21) and Bacillus spp. (4.76%, 1/21). The following Gram-negative bacteria were also found in the specimens examined: Escherichia coli, ESBL (extended-spectrum β-lactamase producing E. coli) (4.76%, 1/21), Escherichia coli (4.76%, 1/21), Pseudomonas aeruginosa (4.76%, 1/21), Klebsiella oxytoca (9.52%, 2/21) and Sphingomonas paucimobilis (4.76%, 1/21). Gram-positive bacteria caused nosocomial infections in nine patients with SBP, Gram-negative bacteria caused nosocomial infections in two patients. In six patients with SBP, community-acquired infections caused by Gram-negative bacteria were found in three cases, Gram-positive bacteria in two cases, and in one case, community-acquired infection was caused by mixed Gram-positive and Gram-negative. Bacteria isolated from patients with hospital-acquired SBP showed higher drug resistance than those found in patients with non-hospital SBP. Bacterial infections in cirrhotic patients with complications may be responsible for their deteriorating health. Prompt intervention is critical to reducing mortality.
Enhanced Photon-Pair Generation Based on Thin-Film Lithium Niobate Doubly Resonant Photonic Crystal Cavity
Authors: Zhu Jinmian , Liu Fengli , Fu Fangheng , Wei Yuming , Yang Tiefeng , Guan Heyuan , Lu Huihui
Published: May 2024

In this work, a doubly resonant photonic crystal (PhC) cavity is proposed to enhance second harmonic generation (SHG) efficiency and photon pair generation rate (PGR). Through the exploration of geometry parameters, a band-edge mode within the light cone is identified as the first harmonic (FH) mode, and a band-edge mode outside the light cone is designated as the second harmonic (SH). Subsequently, by increasing the layers of the core region, a heterostructure PhC cavity is designed. The results showcase a doubly resonant PhC cavity achieving a 133/W SHG efficiency and a photon pair generation rate of 3.7 × 108/s. The exceptional conversion efficiency is attributed to the high quality factors Q observed in the FH and SH modes with values of approximately 280,000 and 2100, respectively. The remarkably high Q factors compensate for nonlinear efficiency degradation caused by detuning, simultaneously making the manufacturing process easier and more feasible. This work is anticipated to provide valuable insights into efficient nonlinear conversion and photon pair generation rates.
Compact Low Loss Ribbed Asymmetric Multimode Interference Power Splitter
Authors: Liang Yanfeng , Lv Huanlin , Liu Baichao , Wang Haoyu , Liu Fangxu , Liu Shuo , Cong Yang , Li Xuanchen , Guo Qingxiao
Published: May 2024

Optical power splitters (OPSs) are utilized extensively in integrated photonic circuits, drawing significant interest in research on power splitters with adjustable splitting ratios. This paper introduces a compact, low-loss 1 × 2 asymmetric multimode interferometric (MMI) optical power splitter on a silicon-on-insulator (SOI) platform. The device is simulated using the finite difference method (FDM) and eigenmode expansion solver (EME). It is possible to attain various output power splitting ratios by making the geometry of the MMI central section asymmetric relative to the propagation axis. Six distinct optical power splitters are designed with unconventional splitting ratios in this paper, which substantiates that the device can achieve any power splitter ratios (PSRs) in the range of 95:5 to 50:50. The dimensions of the multimode section were established at 2.9 × (9.5–10.9) μm. Simulation results show a range of unique advantages of the device, including a low extra loss of less than 0.4 dB, good fabrication tolerance, and power splitting ratio fluctuation below 3% across the 1500 nm to 1600 nm wavelength span.
The Storage Process of Electric Energy Produced from Renewable Sources from Hydrogen to Domestic Hot Water Heating
Authors: Stoica Dorel , Mihăescu Lucian , Lăzăroiu Gheorghe , Lăzăroiu George Cristian
Published: May 2024

The expansion of renewable electricity storage technologies, including green hydrogen storage, is spurred by the need to address the high costs associated with hydrogen storage and the imperative to increase storage capacity. The initial section of the paper examines the intricacies of storing electricity generated from renewable sources, particularly during peak periods, through green hydrogen. Two primary challenges arise: firstly, the complexity inherent in the storage technology and its adaptation for electricity reproduction; and secondly, the cost implications throughout the technological chain, resulting in a significant increase in the price of the reproduced energy. Electric energy storage emerges as a pivotal solution to accommodate the growing proportion of renewable energy within contemporary energy systems, which were previously characterized by high stability. During the transition to renewable-based energy systems, optimizing energy storage technology to manage power fluctuations is crucial, considering both initial capital investment and ongoing operational expenses. The economic analysis primarily focuses on scenarios where electricity generated from renewable sources is integrated into existing power grids. The subsequent part of this paper explores the possibility of localizing excess electricity storage within a specific system, illustrated by domestic hot water.
Canine Euthanasia’s Trend Analysis during Thirty Years (1990–2020) in Italy: A Veterinary Hospital as Case Study
Authors: Previti Annalisa , Biondi Vito , Pugliese Michela , Alibrandi Angela , Zirilli Agata , Roccaro Mariana , Peli Angelo , Passantino Annamaria
Published: May 2024

This study aimed to investigate changes in the number of, and reasons for, requests for dogs’ euthanasia over the last thirty years. Data (breed, age, gender, neuter status, manner, and cause of death) from dogs’ euthanasia registered between 1990 and 2020 in a small animals’ veterinary hospital were analyzed. The overall period examined has been split into two terms (T1 = 1990–2004 and T2 = 2005–2020) considering the introduction and enforcement of Law 189/2004. During the whole period examined, a significant increasing trend in euthanasia cases has been recorded (p = 0.027). Comparing the two terms, we observed significant differences regarding variables such as age, breed, reproductive status, and ownership. The number of euthanized dogs was significantly higher in T1 than in T2. Dogs euthanized in T2 were older than dogs in T1. A high percentage of the euthanized dogs were crossbred and stray dogs. Additionally, the number of neutered/spayed dogs was significantly higher. Regarding the cause of death, a significantly higher percentage of neoplastic processes was detected in T2. The data here reported suggest a potential influence of Law 189/2004. This law in Italy has proven to be a legal milestone that has influenced the decision-making process between euthanasia and natural death.
Factores asociados a infección del sitio quirúrgico en cirugía general. Revisión sistemática
Authors: Moreno Ochoa Edith del Carmen , Mocha Alvarado Cristhell Jamileth , Aguirre Fernández Roberto Eduardo
Published: May 2024

Las infecciones del sitio quirúrgico (ISQ) son causa común de infección deltipo nosocomial producida por procedimientos quirúrgicos representando unimportante problema de atención de salud en países desarrollados con incidenciamayor en países subdesarrollados, los factores que intervienen en la génesis delas ISQ son los dependientes del germen; dependientes del paciente, inherentes ala intervención y/o técnica quirúrgica y aquellos inherentes a la hospitalización.Se analizó los resultados sobre los factores asociados a las ISQ a nivel mundial enpaíses desarrollados y en vías de desarrollo, tomando en cuenta artículos de libreacceso relacionados a la ISQ y que hayan sido publicados por la OrganizaciónMundial de la Salud, aquellos presentes en la biblioteca médica nacional de losEstados Unidos y LILACS publicados desde 2016 hasta el 2022. Para llevar acabo este análisis se utilizó una metodología de estudio bibliográfico. Se tomaronen cuenta artículos de libre acceso relacionados con las ISQ y publicados por laOrganización Mundial de la Salud, así como aquellos presentes en la BibliotecaMédica Nacional de los Estados Unidos y LILACS, publicados desde 2016hasta 2022. Del análisis de los resultados encontrados los factores de riesgo quecontribuyen a la ISQ fueron el género, edad, duración quirúrgica, clasificaciónASA, cirugía de emergencia, abordaje quirúrgico y la clasificación de la herida.
Perancangan Aplikasi Reservasi Laundry Pada Peach Laundry Jambi Berbasis Web
Authors: Yolanda Imel , Hendri  , Mery
Published: May 2024

Peach Laundry Jambi merupakan salah satu usaha jasa laundry yang berlokasi di kota Jambi dimana pengelolaan data masih menggunakan buku dan alat hitung. Sehingga terjadi permasalahan yaitu terkadang terjadi kehilangan data pelanggan dan data pesanan dikarenakan nota rusak atau hilang, tertukarnya pakaian pelanggan yang disebabkan kesamaan nama pada nota, terjadinya kesalahan dalam pencatatan ataupun perhitungan data transaksi untuk nama barang dan jumlah pembayaran dan proses pembuatan laporan yang membutuhkan waktu relatif lama. Oleh karena itu penelitian ini bertujuan merancang aplikasi reservasi laundry berbasis web menggunakan bahasa pemograman PHP dan DBMS MySQL. Penelitian ini menggunakan metode pengembangan sistem waterfall dan pemodelan sistem seperti use case diagram, activity diagram dan class diagram. Hasil dari penelitian ini adalah sistem yang dapat memberikan kemudahan dalam pengolahan data transaksi baik perhitungan, pencarian dan pembuatan laporan, sehingga pengolahan data dan penyebaran informasi menjadi lebih cepat dan tepat.
Penerapan Data Mining Untuk Prediksi Penyakit Diabetes Menggunakan Algoritma C4.5 Zudyanti Dwi Rahma Sari1, Ja
Authors: Zudyanti Dwi Rahma Sari  , Arvita Yulia , Jasmir Jasmir
Published: May 2024

Kesehatan merupakan peranan terpenting dalam kehidupan. Salah satu penyakit yang dapat menyebabkan komplikasi dan kematian adalah diabetes. Diabetes merupakan penyakit yang disebabkan oleh pankreas yang tidak memproduksi insulin yang cukup untuk tubuh sehinggan kadar gula dalam darah melebihi normal. Diabetes merupakan penyakit keturunan, penyakit ini dapat diturunkan kepada anaknya dari orang tua yang mengidap penyakit diabetes, sangat disayangkan jika usia yang masih muda sudah mengidap penyakit diabetes. Pemeriksaan dalam dunia medis dilakukan dengan cara pendiagnosaan penyakit berdasarkan gejala-gejala yang dirasakan oleh penderita yang dapat menghasilkan rekam medis gejala penyakit. Untuk meminimalisir angka kematian dari penyakit Diabetes ini, para pakar kesehatan harus melakukan pendiagnosaan penyakit dengan sedini mungkin. Salah satu metode yang dapat digunakan dalam permasalahan ini adalah data mining dengan teknik klasifikasi dengan menggunakan algoritma C4.5. Penelitian ini bertujuan untuk membantu para medis untuk mengklasifikasi para pasien yang memiliki gejala-gejala penyakit diabetes. Algoritma C4.5 merupakan metode yang digunakan untuk klasifikasi yang menghasilkan model berupa pohon keputusan. Pohon keputusan merupakan metode klasifikasi dan prediksi yang terkenal. Algoritma C4.5 merupakan metode yang dapat digunakan untuk memprediksi dan mengetahui nilai akurasi pada pasien dengan gejala-gejala yang diderita pasien apakah pasien tersebut mengidap penyakit Diabetes atau tidak. Berdasarkan hasil pengujian dengan metode cross validation pada tools RapidMiner menggunakan 2 options yaitu 5-Fold Cross Validation yang menghasilkan akurasi 95,88% dan 10-Fold Cross Validation menghasilkan akurasi 95,90%. Yang mana pengujian dengan 10 Fold Cross Validation menghasilkan akurasi yang lebih baik dibandingkan menggunakan 5 Fold Cross Validation. Dengan jumlah kelas data yang sama yaitu pada class positive sebanyak 224 data dan pada class negative sebanyak 140 data.
Kata Kunci: Diabetes, Data Mining, Prediksi, Algoritma C4.5, RapidMiner
Perancangan Sistem Informasi Penjualan Berbasis Web Lincah Variasi Store
Authors: Bagus Saputro Susanto Hertio , Amroni Amroni , Gusriyanti Dwi Ayu
Published: May 2024

Pengaruh teknologi pada kehidupan manusia sehari-hari pada saat ini memberi dampak yang sangat besar. Salah satu teknologi informasi yang ramai dibicarakan saat ini adalah internet, yang sudah menjadi suatu kebutuhan bagi masyarakat dan banyak digunakan oleh perusahaan ataupun toko dalam melakukan pemasaran maupun pengolahan data. Lincah Variasi Store merupakan sebuah usaha bisnis yang bergerak di bidang penjualan aksesoris dan peralatan mobil. Seiring berkembangnya waktu, permintaan konsumen tentang aksesoris dan peralatan mobil pun semakin meningkat, akan tetapi saat ini sistem yang ada di Lincah Variasi Store masih secara konvensional. Ini sering menimbulkan kesalahan dalam pengolahan data transaksi. Oleh karena itu diperlukan suatu sistem yang dapat meningkatkan ekeftifitas dan efisiensi kerja. Pada penelitian ini penulis mencuba merancang suatu sistem informasi penjualan berbasis web. Dimana penulis melakukan pengembangan sistem mengggunakan metode waterfall dan UML (Unified Modelling Language) dalam pemodelannya. Sistem ini memberikan solusi baru untuk melakukan pengolahan data transaksi penjualan pada Lincah Variasi Store.
Kata Kunci: Sistem, Informasi, Web, Lincah Variasi Store
Analisis Persepsi Terhadap Teknologi Augmented Reality Dalam Kegiatan Pembelajaran Di Kota Jambi Menggunakan Technology Acceptance Model (TAM) (Studi Kasus : SD, SMP, SMA ATTAUFIQ)
Authors: Muhammad Fahmi1 Said , Jasmir  , Rianti Agustini Silvia
Published: May 2024

Teknologi merupakan suatu hal yang selalu dan akan terus berkembang seiring dengan perkembangan zaman. Kian hari, berbagai macam teknologi baru bermunculan. Penelitian ini bertujuan untuk menganalisis persepsi penggunaan teknologi Augmented Reality dalam pembelajaran Model pengukuran yang akan digunakan dalam penelitian ini adalah Technology Acceptance Model (TAM) yang dikembangkan oleh Davis dalam penelitian ini memiliki 3 hipotesis Model dan hipotesis divalidasi melalui kuesioner online yang melihatkan 72 responden Guru di SD, SMP, dan SMA Attaufiq Kota Jambi. Data penelitian diolah menggunakan metode Structural Equation Model (SEM) melalui software SmartPLS versi 3.  Hasil penelitian menunjukkan Persepsi Kemudahan berpengaruh secara signifikan terhadap variabel Sikap dengan t-stastistik > nilai t-tabel, yakni 4.934> 1,96, Persepsi Kegunaan berpengaruh secara signifikan terhadap variabel Sikap dengan t-statistik > nilai t-tabel,yakni 2.647 >1,96, dan Sikap berpengaruh secara signifikan terhadap variabel Niat untuk menggunakan dengan t-stastistik > nilai t-tabel, yakni 2.599 > 1,96.