bluuebunny/crossref_metadata_2025 huggingface dataset:
Films for Wound Healing Fabricated Using a Solvent Casting Technique
Authors: Borbolla-Jiménez Fabiola V. , Peña-Corona Sheila I. , Farah Sonia J. , Jiménez-Valdés María Teresa , Pineda-Pérez Emiliano , Romero-Montero Alejandra , Del Prado-Audelo María Luisa , Bernal-Chávez Sergio Alberto , Magaña Jonathan J. , Leyva-Gómez Gerardo
Published: July 2023

Wound healing is a complex process that involves restoring the structure of damaged tissues through four phases: hemostasis, inflammation, proliferation, and remodeling. Wound dressings are the most common treatment used to cover wounds, reduce infection risk and the loss of physiological fluids, and enhance wound healing. Despite there being several types of wound dressings based on different materials and fabricated through various techniques, polymeric films have been widely employed due to their biocompatibility and low immunogenicity. Furthermore, they are non-invasive, easy to apply, allow gas exchange, and can be transparent. Among different methods for designing polymeric films, solvent casting represents a reliable, preferable, and highly used technique due to its easygoing and relatively low-cost procedure compared to sophisticated methods such as spin coating, microfluidic spinning, or 3D printing. Therefore, this review focuses on the polymeric dressings obtained using this technique, emphasizing the critical manufacturing factors related to pharmaceuticals, specifically discussing the formulation variables necessary to create wound dressings that demonstrate effective performance.
Isolation and Identification of Herbicidal Active Compounds from Brassica oleracea L. and Exploration of the Binding Sites of Brassicanate A Sulfoxide
Authors: Wang Yu , Liu Wanyou , Dong Baozhu , Wang Dong , Nian Yin , Zhou Hongyou
Published: July 2023

Brassica oleracea L. has strong allelopathic effects on weeds. However, the allelochemicals with herbicidal activity in B. oleracea L. are still unknown. In this study, we evaluated the activity of allelochemicals isolated from Brassica oleracea L. based on the germination and growth of model plant Lactuca sativa Linn., grass weed Panicum miliaceum, and broadleaf weed Chenopodium album. Additionally, we employed molecular docking to predict the binding of brassicanate A sulfoxide to herbicide targets. The results of this study showed that eight compounds with herbicidal activity were isolated from B. oleracea L., and the predicted results indicated that brassicanate A sulfoxide was stably bound to dihydroxyacid dehydratase, hydroxymethylpyruvate dioxygenase, acetolactate synthase, PYL family proteins and transport inhibitor response 1. This research provides compound sources and a theoretical foundation for the development of natural herbicides.
Chemical Characterization, Antilipidemic Effect and Anti-Obesity Activity of Ludwigia octovalvis in a Murine Model of Metabolic Syndrome
Authors: Morales-Ferra Dulce Lourdes , Zavala-Sánchez Miguel Ángel , Jiménez-Ferrer Enrique , Trejo-Moreno Celeste , González-Cortazar Manasés , Gamboa-Gómez Claudia I. , Guerrero-Romero Fernando , Zamilpa Alejandro
Published: July 2023

Ludwigia octovalvis (Jacq.) P.H. Raven is widely used in traditional medicine for different illnesses, including diabetes and hypertension. However, its impact on lipotoxicity and metabolic syndrome in vivo has not been addressed. Therefore, the aim of this study was to evaluate the effects of this plant on the metabolic syndrome parameters in a C57BL6J mouse hypercaloric diet model. L. octovalvis hydroalcoholic extract and its ethyl acetate fraction (25 mg/kg/day) were used for sub-chronic assessment (10 weeks). Additionally, four subfractions (25 mg/kg) were evaluated in the postprandial triglyceridemia test in healthy C57BL6J mice. The hydroalcoholic extract and ethyl acetate fraction significantly decreased body weight gain (−6.9 g and −1.5 g), fasting glycemia (−46.1 and −31.2 mg/dL), systolic (−26.0 and −22.5 mmHg) and diastolic (−8.1 and 16.2 mmHg) blood pressure, free fatty acid concentration (−13.8 and −8.0 μg/mL) and insulin-resistance (measured by TyG index, −0.207 and −0.18), compared to the negative control. A postprandial triglyceridemia test showed that the effects in the sub-chronic model are due, at least in part, to improvement in this parameter. L. octovalvis treatments, particularly the hydroalcoholic extract, improve MS alterations and decrease free fatty acid concentration. These effects are possibly due to high contents of corilagin and ellagic acid.
Space Compositional Aspects Regarding the Importance of Trees in the Urban Landscape
Authors: Nádasy László Zoltán , Valánszki István , Sárospataki Máté
Published: July 2023

Individual trees and tree compositions provide a wide range of cultural ecosystem services, including playing a key role in defining urban character. In Hungary, urban landscape protection tools have recently been expanded, bringing the topic into the spotlight. However, the significance of natural elements (and particularly trees) in relation to the urban landscape is still under-researched. In this paper, using a novel methodology, the character-forming significance of trees and tree-compositional elements of historic gardens in Hungary that define the urban character is analysed and evaluated. The urban landscape protection tools that establish the current recognition of green elements within the urban landscape are also analysed. In addition, the spatial situations and characteristics making certain trees in historic gardens defining character elements within Hungarian settlements are studied. Reasons behind the lack of significant tree features in certain historic gardens, as well as the external and internal characteristics of tree elements that determine their visual impact have been categorised. The results reveal that visually important trees, while diverse, show distinct trends in terms of visibility and are subject to constant change. The results imply that a paradigm shift is necessary to maintain, design and regulate green infrastructure in relation to visually important trees.
Screening Digitaria eriantha cv. Suvernola Endophytic Bacteria for Maize Growth Promotion
Authors: Alves Michelle J. G. , Mendonça Johny Jesus , Vitalino Gisely Moreira , Oliveira José Paula , Carvalho Erix Xavier , Fracetto Felipe José Cury , Fracetto Giselle Gomes Monteiro , Lira Junior Mario Andrade
Published: July 2023

The search for sustainable agriculture has increased interest in using endophytic bacteria to reduce fertilizer use and increase stress resilience. Stress-adapted plants are a potential source of these bacteria. Some species of these plants have not yet been evaluated for this, such as pangolão grass, from which we considered endophytic bacteria as potential plant growth promoters. Bacteria from the root, colm, leaves, and rhizospheric soil were isolated, and 132 strains were evaluated for their in vitro biological nitrogen fixation, IAA and siderophores production, and phosphate solubilization. Each mechanism was also assessed under low N availability, water stress, and low-solubility Fe and P sources in maize greenhouse experiments. All strains synthesized IAA; 63 grew on N-free media, 114 synthesized siderophores, and 46 solubilized P, while 19 presented all four mechanisms. Overall, these strains had better performance than commercial inoculant in all experiments. Still, in vitro responses were not good predictors of in vivo effects, which indicates that the former should not be used for strain selection, since this could lead to not testing strains with good plant growth promotion potential. Their heterologous growth promotion in maize reinforces the potential of stress-adapted plant species as potential sources of strains for inoculants.
Response of Maize Seedlings to Silicon Dioxide Nanoparticles (SiO2NPs) under Drought Stress
Authors: Sharf-Eldin Asmaa A. , Alwutayd Khairiah Mubarak , El-Yazied Ahmed Abou , El-Beltagi Hossam S. , Alharbi Basmah M. , Eisa Mohammad A. M. , Alqurashi Mohammed , Sharaf Mohamed , Al-Harbi Nadi Awad , Al-Qahtani Salem Mesfir , Ibrahim Mohamed F. M.
Published: July 2023

Recently, the use of nanofertilizers has received a great deal of attention in managing plants under biotic and abiotic stresses. However, studies that elucidate the role of silicon dioxide nanoparticles (SiO2NPs) in regulating maize tolerance to drought stress are still at early stages of development. In this study, plants that were treated with SiO2NPs (0.25 g/L as foliar spray) displayed considerable improvement in the growth indices, despite being subjected to drought stress. In addition, the action of SiO2NPs led to a considerable rise in the levels of chlorophylls, proline, cell membrane integrity, leaf water content, and antioxidant enzymes (superoxide dismutase (SOD), catalase (CAT), and guaiacol peroxidase (G-POX)). In contrast, an inverse trend was seen in the oxidative injury, the total amount of soluble sugars, and the activity of ascorbate peroxidase (APX). At the same time, carotenoids were unaffected in SiO2NPs-treated and non-treated plants under drought stress. The results of the molecular investigation that was conducted using qRT-PCR showed that the relative expression of the D2 protein of photosystem II (PsbD) was elevated in SiO2NPs-treated plants in response to drought stress, while the expression of the osmotic-like protein (OSM-34) and aquaporin (AQPs) was downregulated in SiO2NPs-treated plants in response to drought stress. This research could pave the way for further investigations into how SiO2NPs boost plant resistance to drought stress.
Are Protein Cavities and Pockets Commonly Used by Redox Active Signalling Molecules?
Authors: Hancock John T.
Published: July 2023

It has been well known for a long time that inert gases, such as xenon (Xe), have significant biological effects. As these atoms are extremely unlikely to partake in direct chemical reactions with biomolecules such as proteins, lipids, and nucleic acids, there must be some other mode of action to account for the effects reported. It has been shown that the topology of proteins allows for cavities and hydrophobic pockets, and it is via an interaction with such protein structures that inert gases are thought to have their action. Recently, it has been mooted that the relatively inert gas molecular hydrogen (H2) may also have its effects via such a mechanism, influencing protein structures and actions. H2 is thought to also act via interaction with redox active compounds, particularly the hydroxyl radical (·OH) and peroxynitrite (ONOO−), but not nitric oxide (NO·), superoxide anions (O2·−) or hydrogen peroxide (H2O2). However, instead of having a direct interaction with H2, is there any evidence that these redox compounds can also interact with Xe pockets and cavities in proteins, either having an independent effect on proteins or interfering with the action of inert gases? This suggestion will be explored here.
Response of Diverse Peanut Cultivars to Nano and Conventional Calcium Forms under Alkaline Sandy Soil
Authors: El-temsah Mohamed E. , Abd-Elkrem Yasser M. , El-Gabry Yasser A. , Abdelkader Mohamed A. , Morsi Nahid A. A. , Taha Noura M. , Abd-Elrahman Shaimaa H. , Hashem Fadl A. E. , Shahin Mostafa G. , Abd El-Samad Gomaa A. , Boudiar Ridha , Silvar Cristina , El-Hendawy Salah , Mansour Elsayed , El-Hady Mohamed A. Abd
Published: July 2023

Calcium is one of the most limiting factors for the growth and reproduction of peanut, which ultimately affects pod and seed yields. A two-year field experiment was carried out to assess the impact of five calcium applications, including nano-calcium and conventional forms, on growth, leaf nutrient content, yield traits, and quality parameters of three diverse peanut cultivars (Ismailia-1, Giza-5, and Giza-6). The applied calcium applications were calcium sulfate, which is recommended for commercial peanut cultivation and commonly referred to as gypsum (coded as Ca-1), calcium nitrate (Ca-2), nano-calcium nitrate (Ca-3), 50% calcium nitrate + 50% nano-calcium (Ca-4), and 50% calcium sulfate + 50% nano-calcium (Ca-5). Calcium sulfate (gypsum, Ca-1) was soil-supplied during the seedbed preparation as recommended, while the other calcium applications (Ca-2, Ca-3, Ca-4, and Ca-5) were exogenously sprayed three times at 30, 45, and 60 days after sowing. The soil of the experimental site was alkaline, with a high pH of 8.6. The results revealed significant differences among cultivars, calcium applications, and their interactions. The soil-supplied gypsum Ca-1 displayed lower agronomic performance on all recorded growth, leaf nutrient content, yield traits, and quality parameters. On the other hand, the foliar-supplied calcium, particularly Ca-4 and Ca-5, displayed superior effects compared to the other simple calcium forms. Ca-4 and Ca-5 produced significantly higher seed yield (3.58 and 3.38 t/ha) than the simple recommended form (Ca-1, 2.34 t/ha). This could be due to the difficulty of calcium uptake from soil-supplied calcium under high soil pH compared to the exogenously sprayed nano-calcium form. Moreover, the superior performance of Ca-4 and Ca-5 could be caused by the mixture of fertilizers from the synergistic effect of calcium and nitrate or sulfate. Furthermore, the effect of nitrate was applied in nano form in the Ca4 and Ca-5 treatments, which contributed to improving nutrient uptake efficiency and plant growth compared to the other treatments. The peanut cultivar Giza-6 showed superiority for most measured traits over the other two cultivars. The interaction effect between the assessed cultivars and calcium applications was significant for various traits. The cultivar Giza-6 showed a significant advantage for most measured traits with the mixture of 50% calcium nitrate + 50% nano-calcium (Ca-4). Conclusively, the results pointed out the advantage of the exogenously sprayed nano-calcium form combined with calcium nitrate or calcium sulfate for promoting growth, leaf nutrient content, yield, and quality traits of peanut, particularly with high-yielding cultivars under sandy soil with high pH.
Ziziphus mauritiana Leaves Normalize Hormonal Profile and Total Cholesterol in Polycystic Ovarian Syndrome Rats
Authors: Shivanandappa Thippeswamy Boreddy , Chinnadhurai Maheswari , Kandasamy Geetha , Vasudevan Rajalakshimi , Sam Gigi , Karunakarannair Anjana
Published: July 2023

In the present study, the beneficial effect of leaves of Ziziphus mauritiana on testosterone, estradiol, progesterone, LH hormones, blood glucose, and total cholesterol levels in the experimentally induced polycystic ovaries of female Sprague Dawley rats were evaluated. Letrozole was used to induce PCOS in rats, and clomiphene citrate was used as a standard control. This study was carried out in vivo on 30 female rats where group I received normal saline and group II to V were treated with letrozole (1 mg/kg/day), which was dissolved in normal saline orally for 21 days to induce PCOS. After PCOS induction, test groups III and IV were orally treated with ZMME at a dose of 100 mg/kg and 200 mg/kg for 14 days, respectively, and group V was treated with clomiphene citrate (2 mg/kg) orally for 14 days. At the end of the experimental period, the animals were sacrificed by cervical dislocation, and blood samples were collected by cardiac puncture. After blood collection, the ovaries were removed and weighed. The results showed that Ziziphus mauritiana normalized all hormones and total cholesterol levels. The HPTLC profile showed the presence of gallic acid, rutin, quercetin, and ursolic acid. Many studies have reported that quercetin is effective against PCOS and its complications; it suppresses insulin resistance and reduces testosterone and LH levels. The present study showed an improvement in the inflammatory microenvironment of the ovarian tissue in the PCOS rat model. This research concluded that the leaves of Ziziphus mauritiana have potential efficacy in the treatment of PCOS by normalizing abnormal hormones and total cholesterol levels, which could be due to the presence of quercetin in the leaves.
Effect of Adding Silver-Doped Carbon Nanotube Fillers to Heat-Cured Acrylic Denture Base on Impact Strength, Microhardness, and Antimicrobial Activity: A Preliminary Study
Authors: Alhotan Abdulaziz , Abdelraouf Rasha M. , El-Korashy Sabry A. , Labban Nawaf , Alotaibi Hanan , Matinlinna Jukka P. , Hamdy Tamer M.
Published: July 2023

Poly (methyl methacrylate) (PMMA), is an acrylic polymer substance that is mostly used for denture base applications. The purpose of this laboratory study was to investigate the effect of adding 0.05 wt.% Ag-doped carbon nanotubes (CNT) to PMMA-based (PMMA and MMA) denture base material on the impact strength, microhardness, and antimicrobial activity. A total of 60 heat-cured acrylic resin specimens were prepared. The specimens were randomly divided into two main groups (n = 30/group), according to the powder used: (a) control group, using heat-cured PMMA; (b) treatment group, using a powder prepared by blending 0.05 wt.% silver-doped CNT nanoparticles with heat-cured PMMA. The impact strength, microhardness and anticandidal activity for each group were assessed via the Charpy, Vickers and agar diffusion tests, respectively (n = 10/test for each subgroup). Data were analyzed using independent-sample t-tests (p ≤ 0.05). The results of the impact strength test revealed that the treated heat-cured PMMA-MMA with Ag-doped CNT (2.2 kJ/mm2) was significantly higher than that of the control heat-cured PMMA (1.6 kJ/mm2). Similarly, the Vickers microhardness of the treatment group (52.7 VHN) was significantly higher than that of the control group (19.4 VHN). Regarding the agar diffusion test, after 24 h of incubation, the treated heat-cured PMMA with the Ag-doped CNT exhibited significantly higher anticandidal activity than that of the control group. Therefore, Ag-doped carbon nanotubes could be considered as promising fillers for the dental heat-cured acrylic resin to improve the resistance of the resultant denture against sudden fractures, scratching, and candida invasion.
Degradation of Polylactic Acid Polymer and Biocomposites Exposed to Controlled Climatic Ageing: Mechanical and Thermal Properties and Structure
Authors: Vašíček Adam , Lenfeld Petr , Běhálek Luboš
Published: July 2023

This paper deals with the study of the degradation of polylactic acid (PLA) material structures and biocomposite systems with a PLA matrix containing ground natural particulate waste fillers, buckwheat husks and egg shells. Waste fillers were used without difficult cleaning operations to describe the effect of the raw waste material on PLA. Biocomposites with raw waste materials are increasingly coming to the forefront in car interiors and packaging products. The prepared material systems were exposed to controlled climatic ageing simulating long-term solar radiation and cyclic outdoor conditions. The degradation of the biocomposite systems was evaluated via thermal (differential scanning calorimetry) and mechanical properties (tensile and flexural tests, Charpy impact toughness). In addition to evaluating the degradation of the material structures using standardized tests, the influence and effect of controlled climatic ageing was visually assessed using SEM images (electron microscopy) of the surfaces and fracture surfaces of the test specimens.
A Study on Mechanical Properties of Low-Cost Thermoplastic-Based Materials for Material Extrusion Additive Manufacturing
Authors: Condruz Mihaela-Raluca , Paraschiv Alexandru , Badea Teodor-Adrian , Useriu Daniel , Frigioescu Tiberius-Florian , Badea Gabriel , Cican Grigore
Published: July 2023

The present research focused on studying the mechanical properties of three commercially available thermoplastic-based materials used for the additive manufacturing (AM) fused filament deposition (FFD) method. The scientific motivation for the study was the limited information available in the literature regarding the materials’ properties, the inconsistencies that were recorded by other scientists between the materials’ properties and the technical datasheets and the anisotropic behavior of additively manufactured materials. Thereby, it was considered of great importance to perform an extensive study on several materials’ mechanical properties, such as tensile properties and flexural properties. Three materials were tested, Tough PLA, nGen CF10 and UltraFuse PAHT CF15. The tests consisted of monotonic tensile tests, open-hole tensile tests and three-point bending tests. The tests were assisted also with the use of microscopical investigations. Framed specimens’ configurations with two different raster orientations (90°/0° and −45°/+45°) were manufactured using an in-house-developed 3D printing equipment. The best mechanical performances were recorded for UltraFuse PAHT CF15. The 90°/0° raster orientations ensured the highest tensile, open-hole tensile and flexural strength, regardless of the material type, while the −45°/+45° raster orientations ensured the highest elongation values. The analysis showed the importance of the experimental validation of materials for AM.
Sol–Gel Approach for Fabricating Silica/Epoxy Nanocomposites
Authors: Branda Francesco , Grappa Rossella , Costantini Aniello , Luciani Giuseppina
Published: July 2023

This review focuses on the opportunities provided by sol–gel chemistry for the production of silica/epoxy nanocomposites, with significant representative examples of the “extra situ” approach and an updated description of the “in situ” strategy. The “extra situ” strategy enables the creation of nanocomposites containing highly engineered nanoparticles. The “in situ” approach is a very promising synthesis route that allows us to produce, in a much easier and eco−friendly manner, properly flame−retarded silica/epoxy nanocomposites endowed with very interesting properties. The review highlights the recently proposed mechanism of nanoparticles formation, which is expected to help to design the synthesis strategies of nanocomposites, changing their composition (both for the nanoparticle and matrix nature) and with in situ−generated nanoparticles possibly more complex than the ones obtained, until today, through this route.
Special Issue on “Extraction and Purification of Bioactive Compounds”
Authors: Xu Qianqian , Bao Zongbi
Published: July 2023

Bioactive compounds, which are abundant in flora, fauna, and microorganisms, can potentially be used by various industries, including pharmaceuticals, functional foods, dietary supplements, and cosmetics [...]
Biodiesel Production from Waste Cooking Oil Using Different Types of Catalysts
Authors: Ulukardesler Ayse Hilal
Published: July 2023

The global energy demand is increasing day by day. Fossil fuels such as crude oil, coal and gas are the main source of energy worldwide. However, fossil fuels, which cause acid rain, the greenhouse effect and other such environmental problems, will eventually be depleted, and renewable energy seems to be the most reasonable solution in this regard. Renewable biofuels have significant potential and can meet the world’s current energy demand. One of the important biofuels is biodiesel, and in the future it can replace petroleum. Waste cooking oil was used as a raw material in biodiesel production in order to reduce the production cost of the offered additive. In this study, the aim was to optimize the process parameters for biodiesel production within the acceptable limit values in the literature. Therefore, the molar ratio of methanol to waste cooking oil (9:1–15:1), catalyst concentration (1–5% by weight) and reaction time (60–120 min) were studied for two catalyst types, potassium hydroxide and ion exchange resin Amberlyst 15. The biodiesel obtained with maximum efficiency for each catalyst was also compared with the international biodiesel standards.
Fracture Patterns of Rocks Observed under Cryogenic Conditions Using Cryo-Scanning Electron Microscopy
Authors: An Qi , Hong Chunyang , Wen Haitao
Published: July 2023

Cryogenic fracturing, which uses liquid nitrogen (LN2) as a fracturing fluid, is a waterless fracturing method. However, previous attempts to investigate the fracture morphology of rocks after LN2 quenching have been mainly based on standard scanning electron microscopy (SEM) analysis at room temperature. This can be problematic since thermally-induced fractures created by temperature difference tend to close as a sample warms and thermal stress relaxes. To address this issue, we established a novel approach employing Cryo-scanning electron microscopy (Cryo-SEM) to investigate the fracture patterns induced by liquid nitrogen quenching under cryogenic conditions. This method can achieve in-situ visualization of fractures and pores with a nano-scale resolution at −190 °C. X-ray computed tomography (CT) is also employed to illustrate the fracture distribution inside samples. Cryo-SEM and standard SEM are compared, and statistical assessments are conducted to quantify fracture aperture size and closure scale. The results demonstrate that Cryo-SEM can more accurately preserve native fracture morphology and provide a more accurate means of evaluating fracture scales generated during LN2 quenching, particularly at higher temperature differences between rock and liquid nitrogen. Distinct fracture patterns and fracture width are observed for various rock types (i.e., coal, sandstone, shale, granite) by using these methods. More prominently, the maximum fracture width of coal, sandstone, shale and granite were 89.17 µm, 1.29 µm, 0.028 µm and 2.12 µm when the temperature difference between LN2 and rock samples were 296 °C. LN2 is shown to exhibit superior fracturing efficiency on coal and granite, characterized by complex fracture networks with branched fractures. This research contributes to our understanding of liquid nitrogen fracturing mechanisms and may offer effective approaches for unconventional reservoirs stimulation.
Intelligent Analysis of Vibration Faults in Hydroelectric Generating Units Based on Empirical Mode Decomposition
Authors: Tian Hong , Yang Lijing , Ji Peng
Published: July 2023

Implementing intelligent identification of faults in hydroelectric units helps in the timely detection of faults and taking measures to minimize economic losses. Therefore, improving the accuracy of fault signal recognition has always been a research focus. This study is based on the improved empirical mode decomposition (EMD) theory to study the denoising and feature extraction of vibration signals of hydroelectric units and uses the backpropagation neural network (BPNN) to establish corresponding connections between signal features and vibration fault states. The improved EMD in this study can improve the performance of noise reduction processing and contribute to the accurate identification of vibration faults. The vibration fault identification criteria can adopt three dimensionless feature parameters: peak skewness coefficient, valley skewness coefficient, and kurtosis coefficient of the second- and third-order components of the signal, with recognition rates and accuracy reaching 90.6% and 96.2%, respectively. This paper’s area under the curve (AUC) values were 0.7365, 0.7335, 0.9232, and 0.9141 for abnormal sound detection of the fan, water pump, slide, and valve, respectively, with an average AUC value of 0.8268. This paper’s accuracy is 90.1%, and the loss function value is 0.27. The validation results demonstrate that this paper’s method has high intelligent fault analysis capabilities. The experimental results confirm that this method can effectively detect vibration signals in hydroelectric units and perform effective noise reduction processing, thereby improving the diagnostic accuracy of fault signals. Therefore, this method can be effectively applied to the detection of vibration faults in hydroelectric units.
A Study on the Stability of Reinforced Tunnel Face Using Horizontal Pre-Grouting
Authors: Ren Yuxin , Zhang Jingtao , Chen Dongdong , Sun Yanding , Kong Lingzhao
Published: July 2023

As tunnel excavation under poor geological conditions is liable to cause ground collapses, reinforcement measures are necessary to reduce construction risks. The stability of a tunnel face that was reinforced using horizontal pre-grouting was investigated through numerical simulation and theoretical analysis in this study. An analytical model was developed using the limit equilibrium method and taking into account the impact of horizontal grouting reinforcement (HGR) on the tunnel face. Subsequently, a comprehensive numerical simulation was conducted to confirm the validity of the model. By performing a parametric analysis, it was found that the limit support pressure exhibited a linear relationship with the cohesion and friction angle. In addition, the limit support pressure is more sensitive to changes in the cohesion and friction angle than changes in the stiffness ratio and thickness of HGR. The HGR more effectively decreases the limit support pressure in conditions of low cohesion (or friction angle) compared with conditions of high cohesion (or friction angle).
The Multidimensional Measurement of Religious/Spiritual Well-Being: Recent Developments in Scale Validation and Clinical Applications
Authors: Unterrainer Human Friedrich
Published: July 2023

Religiosity and spirituality (R/S) have been described extensively as being an integral part of subjective well-being and mental health, especially in Anglo-American regions. Accordingly, the Multidimensional Inventory for Religious/Spiritual Well-Being (MI-RSWB) was developed in the European context to be able to contribute to the further development of this research field by means of a validated measure. In this paper, after an introduction to basic considerations about the scale, more recent developments (from 2012 to 2022) regarding the use of the MI-RSWB are presented. Thus, it is intended to focus here on (1) the presentation of standard values for the MI-RSWB for the Austrian general population, (2) several scale translations into different languages, (3) more recent data on the relationship between RSWB, personality, and mental health, and (4) the potential clinical applications of the RSWB dimensions. As a conclusion, further potential applications of the RSWB concept are discussed.
Political Bias against Atheists: Talk Shows Targeting Arabic-Speaking Audiences
Authors: Khazaal Natalie , Itani Moustapha , Abdallah Sami
Published: July 2023

Atheism has stirred up controversy in the Arabic-speaking world since the 2011 uprisings, when atheists there began appearing in public. What role does Arabic mass media play in the modern politics of minorities such as atheists, given the heated debates that it hosts on atheism? This question is important because perceptions of media frames influence the behavior of politicians and the electorate—and, as a result, laws that affect minority groups such as atheists. This article focuses on Lebanon, where eight of the nine television channels are affiliated with and funded by religious–political parties. It explores the existence of bias against atheists on televised Lebanese talk shows and news reports (2010–2022). Our findings reveal significant bias (69% overall and over 85% in speaker prominence bias), with channels that promote communal religious practice exhibiting the highest levels. Ultimately, our findings demonstrate that television, as the most influential Lebanese and Arabic mass medium, likely affects the public’s negative perceptions of Arabic-speaking atheists. Our findings reflect the decrease in objectivity in conflict-based media and such media’s poor understanding or intentional disregard for media’s crucial role in building a fair, democratic society.
The Queen of Sheba in the Mystical Thought of Ibn ‘Arabī
Authors: Lala Ismail
Published: July 2023

The mystical commentary on the story of Bilqīs, the Queen of Sheba, from chapter 27 of the Qur’an carried out by the highly influential Sufi thinker Muḥyī al-Dīn ibn ‘Arabī (d. 638/1240), shows that he differs radically from exoteric Sunni exegetes. The principal reason for this is Ibn ‘Arabī’s complete reliance on spiritual unveiling (kashf) as a hermeneutic tool. In the chapter on Sulaymān of Fuṣūṣ al-ḥikam, Ibn ‘Arabī represents Bilqīs as the most perspicuous instantiation of the divine Name, “the Compassionate” (Al-Raḥmān). It is the divine trait of compassion, says Ibn ‘Arabī, that provides the existentiating impetus required to bring forth the entire cosmos. Due to her personification of this trait, Bilqīs’ ascent to the pinnacle of gnosis and her ontological superiority over her peers is extolled by Ibn ‘Arabī in her Qur’anic story.
Using Law to Limit Religious Freedom: The Case of New Religious Movements in France
Authors: Adeliyan Tous Sajjad , Richardson James T. , Taghipour Alireza
Published: July 2023

France, with its approach to managing religion known as laïcité, has been almost unique among Western nations in its approach to religious freedom for minority religious groups and movements. In recent decades it has passed widely criticized laws in efforts to implement a program of social control over such groups, including both new religious movements (NRMs) as well as older religious groups that have functioned in France for many decades. Examining why and how this has happened helps reveal how religious freedom can be curtailed in a modern Western society using the legislative process and the law. We apply theories from the sociology of law offered by Donald Black and by William Chambliss, as well as other relevant ideas, to understand how the situation developed in France. Black’s concepts of status and intimacy are particularly useful, as is Chambliss’ dialectic approach to law, which emphasizes human volition in lawmaking. Chambliss focuses on how societies develop resolutions to resolve dilemmas as they attempt to resolve conflicts that arise from contradictions in how society functions. The role of courts in such situations will also be addressed. We conclude that the liberalistic and humanitarian national motto (“liberté, égalité, fraternité”) of the French Republic does not necessarily lead to the non-discrimination and non-persecution of new religious movements and other nontraditional religious groups. We also conclude that the resolution obtained with the About–Picard law was, as predicted by Chambliss, not a final one, and that dilemmas continue to exist about how to address concerns about religious groups in French society.
Marine Environmental Impact on CFAR Ship Detection as Measured by Wave Age in SAR Images
Authors: Bezerra Diego X. , Lorenzzetti João A. , Paes Rafael L.
Published: July 2023

Satellite synthetic aperture radar (SAR) images are recognized as one of the most efficient tools for day/night, all weather and large area monitoring of ships at sea. However, false alarms discrimination is still one key problem on SAR ship detection. While many discrimination techniques have been proposed for the treatment of false alarms, not enough emphasis has been targeted to explore how obtained false alarms are related to the changing ocean environmental conditions. To this end, we combined a large set of Sentinel-1 SAR images with ocean surface wind and wave data into one dataset. SAR images were separated into three distinct groups according to wave age (WA) conditions present during image acquisition: young wind sea, old wind sea, and swell. A constant false alarm rate (CFAR) ship detection algorithm was implemented based on the generalized gamma distribution (GΓD). Kolmogorov–Smirnov distance was used to analyze the distribution goodness-of-fit among distinct ocean environments. A backscattering analysis of different sizes of ship targets and sea clutter was further performed using the OpenSARShip and automatic identification system (AIS) datasets to assess its separability. We derived a discrimination threshold adjustment based on WA conditions and showed its efficacy to drastically reduce false alarms. To our present knowledge, the use of WA as part of the CFAR and for the adjustment of the threshold of detection is a novelty which could be tested and evaluated for different SAR sensors.
Hybrid-Scale Hierarchical Transformer for Remote Sensing Image Super-Resolution
Authors: Shang Jianrun , Gao Mingliang , Li Qilei , Pan Jinfeng , Zou Guofeng , Jeon Gwanggil
Published: July 2023

Super-resolution (SR) technology plays a crucial role in improving the spatial resolution of remote sensing images so as to overcome the physical limitations of spaceborne imaging systems. Although deep convolutional neural networks have achieved promising results, most of them overlook the advantage of self-similarity information across different scales and high-dimensional features after the upsampling layers. To address the problem, we propose a hybrid-scale hierarchical transformer network (HSTNet) to achieve faithful remote sensing image SR. Specifically, we propose a hybrid-scale feature exploitation module to leverage the internal recursive information in single and cross scales within the images. To fully leverage the high-dimensional features and enhance discrimination, we designed a cross-scale enhancement transformer to capture long-range dependencies and efficiently calculate the relevance between high-dimension and low-dimension features. The proposed HSTNet achieves the best result in PSNR and SSIM with the UCMecred dataset and AID dataset. Comparative experiments demonstrate the effectiveness of the proposed methods and prove that the HSTNet outperforms the state-of-the-art competitors both in quantitative and qualitative evaluations.
Performance Assessment of Global-EO-Based Precipitation Products against Gridded Rainfall from the Indian Meteorological Department
Authors: Awasthi Nitesh , Tripathi Jayant Nath , Petropoulos George P. , Gupta Dileep Kumar , Singh Abhay Kumar , Kathwas Amar Kumar
Published: July 2023

Monitoring water resources globally is crucial for forecasting future geo-hydro disasters across the Earth. In the present study, an attempt was made to assess the functional dimensionality of multi-satellite precipitation products, retrieved from CHIRPS, NASA POWER, ERA-5, and PERSIANN-CDR with respect to the gridded India Meteorological Department (IMD) precipitation dataset over a period of 30+ years (1990–2021) on monthly and yearly time scales at regional, sub regional, and pixel levels. The study findings showed that the performance of the PERSIANN-CDR dataset was significantly better in Central India, Northeast India, and Northwest India, whereas the NASA-POWER precipitation product performed better in Central India and South Peninsular of India. The other two precipitation products (CHIRPS and ERA-5) showed the intermediate performance over various sub regions of India. The CHIRPS and NASA POWER precipitation products underperformed from the mean value (3.05 mm/day) of the IMD gridded precipitation product, while the other two products ERA-5 and PERSIANN-CDR are over performed across all India. In addition, PERSIANN-CDR performed better in Central India, Northeast India, Northwest India, and the South Peninsula, when the yearly mean rainfall was between 0 and 7 mm/day, while ERA-5 performed better in Central India and the South Peninsula region for a yearly mean rainfall above 0–7 mm/day. Moreover, a peculiar observation was made from the investigation that the respective datasets were able to characterize the precipitation amount during the monsoon in Western Ghats. However, those products needed a regular calibration with the gauge-based datasets in order to improve the future applications and predictions of upcoming hydro-disasters for longer time periods with the very dense rain gauge data. The present study findings are expected to offer a valuable contribution toward assisting in the selection of an appropriate and significant datasets for various studies at regional and zonal scales.
Prediction of Areal Soybean Lodging Using a Main Stem Elongation Model and a Soil-Adjusted Vegetation Index That Accounts for the Ratio of Vegetation Cover
Authors: Konno Tomohiro , Homma Koki
Published: July 2023

In soybean, lodging is sometimes caused by strong winds and rains, resulting in a decrease in yield and quality. Technical measures against lodging include “pinching”, in which the main stem is pruned when excessive growth is expected. However, there can be a decrease in yield when pinching is undertaken when the risk of lodging is relatively low. Therefore, it is important that pinching is performed after the future risk of lodging has been determined. The lodging angle at the full maturity stage (R8) can be explained using a multiple regression model with main stem elongation from the sixth leaf stage (V6) to the blooming stage (R1) and main stem length at the full seed stage (R6) as the explanatory variables. The objective of this study was to develop an areal lodging prediction method by combining a main stem elongation model with areal main stem length estimation using UAV remote sensing. The main stem elongation model from emergence to R1 was a logistic regression formula with the temperature and daylight hours functions f (Ti, Di) as the explanatory variables. The main stem elongation model from R1 to the peak main stem length was a linear regression formula with the main stem length of R1 as the explanatory variable. The model that synthesized these two regression formulas were used as the main stem elongation model from emergence to R8. The accuracy of the main stem elongation model was tested on the test data, and the average RMSE was 5.3. For the areal main stem length estimation by UAV remote sensing, we proposed a soil-adjusted vegetation index (SAVIvc) that takes vegetation cover into account. SAVIvc was more accurate in estimating the main stem length than the previously reported vegetation index (R2 = 0.78, p < 0.001). The main stem length estimated by the main stem elongation model combined with SAVIvc was substituted into a multiple regression model of lodging angle to test the accuracy of the areal lodging prediction method. The method was able to predict lodging angles with an accuracy of RMSE = 8.8. These results suggest that the risk of lodging can be estimated in an areal manner prior to pinching, even though the actual occurrence is affected by wind.
DRFM Repeater Jamming Suppression Method Based on Joint Range-Angle Sparse Recovery and Beamforming for Distributed Array Radar
Authors: Han Bowen , Qu Xiaodong , Yang Xiaopeng , Zhang Zhengyan , Li Wolin
Published: July 2023

Distributed array radar achieves high angular resolution and measurement accuracy, which could provide a solution to suppress digital radio frequency memory (DRFM) repeater jamming. However, owing to the large aperture of a distributed radar, the far-field plane wave assumption is no longer satisfied. Consequently, traditional adaptive beamforming methods cannot work effectively due to mismatched steering vectors. To address this issue, a DRFM repeater jamming suppression method based on joint range-angle sparse recovery and beamforming for distributed array radar is proposed in this paper. First, the steering vectors of the distributed array are reconstructed according to the spherical wave model under near-field conditions. Then, a joint range-angle sparse dictionary is generated using reconstructed steering vectors, and the range-angle position of jamming is estimated using the weighted L1-norm singular value decomposition (W-L1-SVD) algorithm. Finally, beamforming with joint range-angle nulling is implemented based on the linear constrained minimum variance (LCMV) algorithm for jamming suppression. The performance and effectiveness of proposed method is validated by simulations and experiments on an actual ground-based distributed array radar system.
Diurnal Precipitation Features over Complex Terrains along the Yangtze River in China Based on Long-Term TRMM and GPM Radar Products
Authors: Zhu Suxing , Liu Chuntao , Cao Jie , Lavigne Thomas
Published: July 2023

Based on the 20-year high-resolution precipitation data from TRMM and GPM radar products, diurnal features over complex terrains along the Yangtze River (YR) are investigated. Using the Fast Fourier Transform (FFT) method, the first (diurnal) and second (semi-diurnal) harmonic amplitude and phase of precipitation amount (PA), precipitation frequency (PF), and intensity (PI) are analyzed. The diurnal amplitudes of PA and PF have a decreasing trend from the west to the east with the decreasing altitude of large-scale terrain, while the semi-diurnal amplitudes of PA and PI depict the bimodal precipitation cycle over highlands. For the eastward propagation of PA, PF is capable of depicting the propagation from the upper to the middle reaches of YR, while PI shows the eastward propagation from the middle to the lower reaches of YR during nighttime and presents sensitivity to highlands and lowlands. According to the contribution of different-sized precipitation systems to PI over the highlands and lowlands, the small (<200 km2) ones contribute the least while the large ones (>6000 km2) contribute the most, but the medium ones (200–6000 km2) show a slightly larger contribution over the highlands than over the lowlands. The propagation of each scaled precipitation system along the YR is further analyzed. We found that small precipitation systems mainly happen in the afternoon without obvious propagation. Medium ones peak 2–4 h later than the small ones, with two eastward propagation directions at night from the middle reaches of YR to the east. The large ones are mainly located in lowlands at night, with two propagation routes in the morning over the middle and lower reaches of YR. Such a relay of the propagation of the medium and large precipitation systems explains the eastward movement of PI along the YR, which merits future dynamic studies.
Enhancing Remote Sensing Image Super-Resolution with Efficient Hybrid Conditional Diffusion Model
Authors: Han Lintao , Zhao Yuchen , Lv Hengyi , Zhang Yisa , Liu Hailong , Bi Guoling , Han Qing
Published: July 2023

Recently, optical remote-sensing images have been widely applied in fields such as environmental monitoring and land cover classification. However, due to limitations in imaging equipment and other factors, low-resolution images that are unfavorable for image analysis are often obtained. Although existing image super-resolution algorithms can enhance image resolution, these algorithms are not specifically designed for the characteristics of remote-sensing images and cannot effectively recover high-resolution images. Therefore, this paper proposes a novel remote-sensing image super-resolution algorithm based on an efficient hybrid conditional diffusion model (EHC-DMSR). The algorithm applies the theory of diffusion models to remote-sensing image super-resolution. Firstly, the comprehensive features of low-resolution images are extracted through a transformer network and CNN to serve as conditions for guiding image generation. Furthermore, to constrain the diffusion model and generate more high-frequency information, a Fourier high-frequency spatial constraint is proposed to emphasize high-frequency spatial loss and optimize the reverse diffusion direction. To address the time-consuming issue of the diffusion model during the reverse diffusion process, a feature-distillation-based method is proposed to reduce the computational load of U-Net, thereby shortening the inference time without affecting the super-resolution performance. Extensive experiments on multiple test datasets demonstrated that our proposed algorithm not only achieves excellent results in quantitative evaluation metrics but also generates sharper super-resolved images with rich detailed information.