bluuebunny/crossref_metadata_2025 huggingface dataset:
Phase Transformation Crystallography in Pipeline HSLA Steel after TMCP
Authors: Lobanov Mikhail L. , Zorina Maria A. , Karabanalov Maxim S. , Urtsev Nikolay V. , Redikultsev Andrey A.
Published: June 2023

Thermo-mechanical controlled processing (TMCP) is employed to obtain the required level of mechanical properties of contemporary high-strength low-alloy (HSLA) steel plates utilized for gas and oil pipeline production. The strength, deformation behavior and resistance to the formation and propagation of running fractures of the pipeline steel are mainly determined by its microstructure and crystallographic texture. These are formed as a result of austenite deformation and consequent γ→α-transformation. This present study analyses the crystallographic regularities of the structural and textural state formation in a steel plate that has been industrially produced by means of TMCP. The values of the mechanical properties that have been measured in different directions demonstrate the significance of the crystallographic texture in the deformation and failure of steel products. An electron backscatter diffraction (EBSD) method and crystallographic analysis were utilized to establish the connection between the main texture components of the deformed austenite and α-phase orientations. This paper demonstrates that the crystallographic texture that is formed due to a multipath γ→α-transformation results from the α-phase nucleation on the special boundaries between grains with γ-phase orientations. The analysis of the spectra of the α-γ-interface boundary angle deviations from the Kurdjumov–Sachs (K–S), Nishiyama–Wassermann (N–W), and Greninger–Troiano (G–T) orientation relationships (ORs) allows to suggest that the observed austenite particles represent a secondary austenite (not retained) that precipitates at intercrystalline α-phase boundaries and correspond to the ORs with regard to only one adjacent crystallite.
Synergistic Effects of AgNPs and Biochar: A Potential Combination for Combating Lung Cancer and Pathogenic Bacteria
Authors: Abu Hajleh Maha N. , Al-limoun Muhamad , Al-Tarawneh Amjad , Hijazin Tahani J. , Alqaraleh Moath , Khleifat Khaled , Al-Madanat Osama Y. , Qaisi Yaseen Al , AlSarayreh Ahmad , Al-Samydai Ali , Qaralleh Haitham , Al-Dujaili Emad A. S.
Published: June 2023

The synthesis of reliable biological nanomaterials is a crucial area of study in nanotechnology. In this study, Emericella dentata was employed for the biosynthesis of AgNPs, which were then combined with synthesized biochar, a porous structure created through biomass pyrolysis. The synergistic effects of AgNPs and biochar were evaluated through the assessment of pro-inflammatory cytokines, anti-apoptotic gene expression, and antibacterial activity. Solid biosynthesized AgNPs were evaluated by XRD and SEM, with SEM images revealing that most of the AgNPs ranged from 10 to 80 nm, with over 70% being less than 40 nm. FTIR analysis indicated the presence of stabilizing and reducing functional groups in the AgNPs. The nanoemulsion’s zeta potential, hydrodynamic diameter, and particle distribution index were found to be −19.6 mV, 37.62 nm, and 0.231, respectively. Biochar, on the other hand, did not have any antibacterial effects on the tested bacterial species. However, when combined with AgNPs, its antibacterial efficacy against all bacterial species was significantly enhanced. Furthermore, the combined material significantly reduced the expression of anti-apoptotic genes and pro-inflammatory cytokines compared to individual treatments. This study suggests that low-dose AgNPs coupled with biochar could be a more effective method to combat lung cancer epithelial cells and pathogenic bacteria compared to either substance alone.
Synthesis, Crystal Structure, DFT, and Anticancer Activity of Some Imine-Type Compounds via Routine Schiff Base Reaction: An Example of Unexpected Cyclization to Oxazine Derivative
Authors: Lasri Jamal , Eltayeb Naser E. , Soliman Saied M. , Ali Ehab M. M. , Alhayyani Sultan , Akhdhar Abdullah
Published: June 2023

The synthesis, characterization, and anticancer properties of three imine-type compounds 1–3 and an unexpected oxazine derivative 4 are presented. The reaction of p-dimethylaminobenzaldehyde or m-nitrobenzaldehyde with hydroxylamine hydrochloride afforded the corresponding oximes 1–2 in good yields. Additionally, the treatment of benzil with 4-aminoantipyrine or o-aminophenol was investigated. Routinely, the Schiff base (4E)-4-(2-oxo-1,2-diphenylethylideneamino)-1,2-dihydro-1,5-dimethyl-2-phenylpyrazol-3-one 3 was obtained in the case of 4-aminoantipyrine. Unexpectedly, the reaction of benzil with o-aminophenol proceeded with cyclization to produce the 2,3-diphenyl-2H-benzo[b][1,4]oxazin-2-ol 4. The structures of compounds 3 and 4 were unambiguously determined by single crystal X-ray diffraction. Hirshfeld analysis of molecular packing revealed the importance of the O…H (11.1%), N…H (3.4%), C…H (29.4%), and C…C (1.6) interactions in the crystal stability of 3. In the case of 4, the O…H (8.8%), N…H (5.7%), and C…H (30.3%) interactions are the most important. DFT calculations predicted that both compounds have a polar nature, and 3 (3.4489 Debye) has higher polarity than 4 (2.1554 Debye). Different reactivity descriptors were calculated for both systems based on the HOMO and LUMO energies. The NMR chemical shifts were calculated and were found well correlated with the experimental data. HepG2 growth was suppressed by the four compounds more than MCF-7. The IC50 values of 1 against HepG2 and MCF-7 cell lines were the lowest, and it is considered the most promising candidate as an anticancer agent.
Enantioselective Toxic Effects of Prothioconazole toward Scenedesmus obliquus
Authors: Xiang Qingqing , Zhou Ying , Tan Chengxia
Published: June 2023

Prothioconazole (PTC) is a broad-spectrum triazole fungicide with one asymmetric center and consists of two enantiomers, R-(−)-PTC and S-(+)-PTC. To address the concern of its environmental safety, the enantioselective toxic effects of PTC on Scendesmus obliquus (S. obliquus) were investigated. PTC racemates (Rac-PTC) and enantiomers exhibited dose-dependent acute toxicity effects against S. obliquus at a concentration from 1 to 10 mg·L−1. The 72 h-EC50 value of Rac-, R-(−)-, and S-(+)-PTC is 8.15, 16.53, and 7.85 mg·L−1, respectively. The growth ratios and photosynthetic pigment contents of the R-(−)-PTC treatment groups were higher than the Rac- and S-(+)-PTC treatment groups. Both catalase (CAT) activities and esterase activities were inhibited in the Rac- and S-(+)-PTC treatment groups at high concentrations of 5 and 10 mg·L−1, and the levels of malondialdehyde (MDA) were elevated, which exceeded the levels in algal cells for the R-(−)-PTC treatment groups. PTC could disrupt the cell morphology of S. obliquus and induce cell membrane damage, following the order of S-(+)-PTC ≈ Rac-PTC > R-(−)-PTC. The enantioselective toxic effects of PTC on S. obliquus provide essential information for its ecological risk assessment.
Synthesis, Bioactivity Evaluation and Application of Plant-Based Nanoparticles
Authors: Rajakumar Govindasamy , Sudha Parappurath Narayanan , Thiruvengadam Muthu
Published: June 2023

Environmental and biomedical fields have various potential applications for the green synthesis of nanoparticles [...]
On the Origin of Raman Activity in Anatase TiO2 (Nano)Materials: An Ab Initio Investigation of Surface and Size Effects
Authors: Taudul Beata , Tielens Frederik , Calatayud Monica
Published: June 2023

Titania-based materials are abundant in technological applications, as well as everyday products; however, many of its structure–property relationships are still unclear. In particular, its surface reactivity on the nanoscale has important consequences for fields such as nanotoxicity or (photo)catalysis. Raman spectroscopy has been used to characterize titania-based (nano)material surfaces, mainly based on empirical peak assignments. In the present work, we address the structural features responsible for the Raman spectra of pure, stoichiometric TiO2 materials from a theoretical characterization. We determine a computational protocol to obtain accurate Raman response in a series of anatase TiO2 models, namely, the bulk and three low-index terminations by periodic ab initio approaches. The origin of the Raman peaks is thoroughly analyzed and the structure–Raman mapping is performed to account for structural distortions, laser and temperature effects, surface orientation, and size. We address the appropriateness of previous experimental use of Raman to quantify the presence of distinct TiO2 terminations, and provide guidelines to exploit the Raman spectrum based on accurate rooted calculations that could be used to characterize a variety of titania systems (e.g., single crystals, commercial catalysts, thin layered materials, facetted nanoparticles, etc.).
Nutrition and Outcome of 100 Endoscopic Gastrostomy-Fed Citizens with Severe Dementia
Authors: Sousa-Catita Diogo , Mascarenhas Paulo , Oliveira Cátia , Grunho Miguel , Santos Carla Adriana , Fonseca Jorge
Published: June 2023

Dementia is a rising public health concern. Feeding and nutritional problems increase as the disease progresses, affecting the clinical course and caregiver burden. While some guidelines advise against percutaneous endoscopic gastrostomy (PEG) and tube feeding in advanced dementia, conflicting evidence exists. This study aims to evaluate the nutritional status and influence of PEG feeding on the outcome and evolution of nutritional/prognosis markers of patients with severe dementia (PWSD) who underwent gastrostomy for nutritional support. We conducted a 16-year retrospective study on 100 PEG-fed PWSD with strong familial support. We evaluated the survival PEG-feeding period, safety, and objective nutritional/prognosis data on the gastrostomy day and after 3 months: Body Mass Index (BMI), Mid Upper Arm Circumference, Tricipital Skinfold, Mid-Arm Muscle Circumference, albumin, transferrin, total cholesterol, and hemoglobin. Most patients presented low values in these nutritional/prognosis parameters. No major life-threatening PEG complications were reported. The mean survival time after gastrostomy was 27.9 months (median of 17 months). Female sex, BMI recovery at 3 months, and higher baseline hemoglobin levels were associated with a reduced risk of death and increased survival time. The study concluded that, in carefully selected PWSD with strong familial support, PEG feeding can improve nutritional status and have a positive impact on survival.
Assessing the Interactions between Zinc and Vitamin A on Intestinal Functionality, Morphology, and the Microbiome In Vivo (Gallus gallus)
Authors: Jackson Cydney , Kolba Nikolai , Tako Elad
Published: June 2023

Dietary deficiencies in zinc (Zn) and vitamin A (VA) are among the leading micronutrient deficiencies globally and previous research has proposed a notable interaction between Zn and VA physiological status. This study aimed to assess the effects of zinc and vitamin A (isolated and combined) on intestinal functionality and morphology, and the gut microbiome (Gallus gallus). The study included nine treatment groups (n~11)—no-injection (NI); H2O; 0.5% oil; normal zinc (40 mg/kg ZnSO4) (ZN); low zinc (20 mg/kg) (ZL); normal retinoid (1500 IU/kg retinyl palmitate) (RN); low retinoid (100 IU/kg) (RL); normal zinc and retinoid (40 mg/kg; 1500 IU/kg) (ZNRN); low zinc and retinoid (ZLRL) (20 mg/kg; 100 IU/kg). Samples were injected into the amniotic fluid of the fertile broiler eggs. Tissue samples were collected upon hatch to target biomarkers. ZLRL reduced ZIP4 gene expression and upregulated ZnT1 gene expression (p < 0.05). Duodenal surface area increased the greatest in RL compared to RN (p < 0.01), and ZLRL compared to ZNRN (p < 0.05). All nutrient treatments yielded shorter crypt depths (p < 0.01). Compared to the oil control, ZLRL and ZNRN reduced (p < 0.05) the cecal abundance of Bifidobacterium and Clostridium genera (p < 0.05). These results suggest a potentially improved intestinal epithelium proceeding with Zn and VA intra-amniotic administration. Intestinal functionality and gut bacteria were modulated. Further research should characterize long-term responses and the microbiome profile.
Surgical Nurses’ Perceptions of Strategies to Enhance Pain Management Proficiency: A Qualitative Study
Authors: Atthayasai Jarutsri , Chatchumni Manaporn , Eriksson Henrik , Mazaheri Monir
Published: June 2023

To describe surgical nurses’ strategies for enhancing their pain management proficiency. A qualitative design was used to conduct the study. The participants were forty surgical nurses who had at least six years of nursing experience in caring for patients with pain. They responded to open-ended questions based on a review of the policy documents concerning the main elements of the pain management programme to be implemented by surgical nurses. Three key themes emerged from the surgical nurses’ suggested strategies: partnering, disrupting, and becoming familiar with pain management competency concerns. Surgical nurses’ strategies in acute and chronic pain management nursing units included solving patients’ problems and promoting and enhancing pain strategies to address health challenges in organisations. The themes presented in the results include enhancing pain management in nursing competencies. State-of-the-art healthcare technologies are being applied to pain management. Surgical nurses’ strategies should improve the quality of nursing care, especially post-surgery recovery time. It is recommended to engage patients, their families, and multidisciplinary care teams in other healthcare fields.
Annona muricata Leaf as an Anti-Cryptosporidial Agent: An In Silico Molecular Docking Analysis and In Vivo Studies
Authors: El-Wakil Eman S. , Abdelmaksoud Hagar F. , Wakid Majed H. , Alsulami Muslimah N. , Hammam Olfat , Albohiri Haleema H. , Ghallab Marwa M. I.
Published: June 2023

Cryptosporidiosis is a serious parasitic diarrheal disease linked to the occurrence of colorectal cancer in immunocompromised patients. The FDA-approved drug nitazoxanide (NTZ) achieved a temporary effect, and relapses occur. Annona muricata leaf is widely used in traditional medicine to treat a wide range of disorders, including antiparasitic and anticancer effects. So, this study aimed to investigate Annona muricata leaf antiparasitic and anticancer properties compared to NTZ in Cryptosporidium parvum (C. parvum) acutely and chronically infected immunosuppressed mice. A molecular docking analysis was performed to evaluate the effectiveness of some biologically active compounds that represented the pharmacological properties of Annona muricata leaf-rich extract toward C. parvum lactate dehydrogenase compared to NTZ. For the in vivo study, eighty immunosuppressed albino mice were classified into four groups as follows: group I: infected and treated with A. muricata; group II: infected and treated with nitazoxanide; group III: infected and received no treatment; and group IV: were neither infected nor treated. Furthermore, half of the mice in groups I and II received the drugs on the 10th day post-infection (dpi), and the other half received treatment on the 90th day post-infection. Parasitological, histopathological, and immunohistochemical evaluations were performed. The docking analysis showed that the lowest estimated free energy of binding of annonacin, casuarine, L-epigallocatechin, P-coumaric acid, and ellagic acid toward C. parvum LDH, were −6.11, −6.32, −7.51, −7.81, and −9.64 kcal/mol, respectively, while NTZ was −7.03 kcal/mol. Parasitological examination displayed a significantly high difference in C. parvum oocyst mean counts in groups I and II compared to group III (p-value < 0.001), with group I demonstrating the highest efficacy. The analyses of histopathological and immunohistochemical results revealed that group I showed restoration of the normal villous pattern without evidence of dysplasia or malignancy. A. muricata leaf has proved to be a reliable agent for Cryptosporidium treatment. This paper argues for its promising use as an antiparasitic agent and for the prevention of neoplastic sequels of Cryptosporidium infection.
Radiochemical and Biological Evaluation of 3p-C-NETA-ePSMA-16, a Promising PSMA-Targeting Agent for Radiotheranostics
Authors: Murce Erika , Ahenkorah Stephen , Beekman Savanne , Handula Maryana , Stuurman Debra , de Ridder Corrina , Cleeren Frederik , Seimbille Yann
Published: June 2023

Bifunctional chelators (BFCs) are a key element in the design of radiopharmaceuticals. By selecting a BFC that efficiently complexes diagnostic and therapeutic radionuclides, a theranostic pair possessing almost similar biodistribution and pharmacokinetic properties can be developed. We have previously reported 3p-C-NETA as a promising theranostic BFC, and the encouraging preclinical outcomes obtained with [18F]AlF-3p-C-NETA-TATE led us to conjugate this chelator to a PSMA-targeting vector for imaging and treatment of prostate cancer. In this study, we synthesized 3p-C-NETA-ePSMA-16 and radiolabeled it with different diagnostic (111In, 18F) and therapeutic (177Lu, 213Bi) radionuclides. 3p-C-NETA-ePSMA-16 showed high affinity to PSMA (IC50 = 4.61 ± 1.33 nM), and [111In]In-3p-C-NETA-ePSMA-16 showed specific cell uptake (1.41 ± 0.20% ID/106 cells) in PSMA expressing LS174T cells. Specific tumor uptake of [111In]In-3p-C-NETA-ePSMA-16 was observed up to 4 h p.i. (1.62 ± 0.55% ID/g at 1 h p.i.; 0.89 ± 0.58% ID/g at 4 h p.i.) in LS174T tumor-bearing mice. Only a faint signal could be seen at 1 h p.i. in the SPECT/CT scans, whereas dynamic PET/CT scans performed after administration of [18F]AlF-3p-C-NETA-ePSMA-16 in PC3-Pip tumor xenografted mice resulted in a better tumor visualization and imaging contrast. Therapy studies with short-lived radionuclides such as 213Bi could further elucidate the therapeutic potential of 3p-C-NETA-ePSMA-16 as a radiotheranostic.
Chloroquine and Hydroxychloroquine, as Proteasome Inhibitors, Upregulate the Expression and Activity of Organic Anion Transporter 3
Authors: Liang Zhengxuan , You Guofeng
Published: June 2023

Organic anion transporter 3 (OAT3), at the basolateral membrane of kidney proximal tubule cells, facilitates the elimination of numerous widely used drugs. Earlier investigation from our laboratory revealed that ubiquitin conjugation to OAT3 leads to OAT3 internalization from the cell surface, followed by degradation in the proteasome. In the current study, we examined the roles of chloroquine (CQ) and hydroxychloroquine (HCQ), two well-known anti-malarial drugs, in their action as proteasome inhibitors and their effects on OAT3 ubiquitination, expression, and function. We showed that in cells treated with CQ and HCQ, the ubiquitinated OAT3 was considerably enhanced, which correlated well with a decrease in 20S proteasome activity. Furthermore, in CQ- and HCQ-treated cells, OAT3 expression and OAT3-mediated transport of estrone sulfate, a prototypical substrate, were significantly increased. Such increases in OAT3 expression and transport activity were accompanied by an increase in the maximum transport velocity and a decrease in the degradation rate of the transporter. In conclusion, this study unveiled a novel role of CQ and HCQ in enhancing OAT3 expression and transport activity by preventing the degradation of ubiquitinated OAT3 in proteasomes.
Evaluating the Acceptability, Swallowability, and Palatability of Film-Coated Mini-Tablet Formulation in Young Children: Results from an Open-Label, Single-Dose, Cross-Over Study
Authors: Münch Juliane , Sessler Isabelle , Bosse Hans Martin , Wargenau Manfred , Dreesen Janine D. , Loforese Giulio , Webb Nicholas J. A. , Sivasubramanian Rama , Reidemeister Sibylle , Lustenberger Philipp , Klingmann Viviane
Published: June 2023

Mini-tablets are advantageous over liquid formulations in overcoming challenges related to stability, taste, and dosage. This open-label, single-dose, cross-over study investigated the acceptability and safety of drug-free, film-coated mini-tablets in children aged 1 month–6 years (stratified: 4–6 years, 2–<4 years, 1–<2 years, 6–<12 months, and 1–<6 months), and their preference for swallowing either a high quantity of 2.0 mm or a low quantity of 2.5 mm diameter mini-tablets. The primary endpoint was acceptability derived from swallowability. The secondary endpoints were investigator-observed palatability, acceptability as a composite endpoint derived from both swallowability and palatability, and safety. Of 320 children randomized, 319 completed the study. Across all tablet sizes, quantities and age groups, acceptability rates based on swallowability were high (at least 87%). Palatability was rated as “pleasant/neutral” in 96.6% of children. The acceptability rates as per the composite endpoint were at least 77% and 86% for the 2.0 mm and 2.5 mm film-coated mini-tablets, respectively. No adverse events or deaths were reported. Recruitment in the 1–<6-months group was stopped early due to coughing—evaluated as “choked on” in three children. Both 2.0 mm and 2.5 mm film-coated mini-tablets are suitable formulations for young children.
Clinical Advances and Perspectives in Targeted Radionuclide Therapy
Authors: Lepareur Nicolas , Ramée Barthélémy , Mougin-Degraef Marie , Bourgeois Mickaël
Published: June 2023

Targeted radionuclide therapy has become increasingly prominent as a nuclear medicine subspecialty. For many decades, treatment with radionuclides has been mainly restricted to the use of iodine-131 in thyroid disorders. Currently, radiopharmaceuticals, consisting of a radionuclide coupled to a vector that binds to a desired biological target with high specificity, are being developed. The objective is to be as selective as possible at the tumor level, while limiting the dose received at the healthy tissue level. In recent years, a better understanding of molecular mechanisms of cancer, as well as the appearance of innovative targeting agents (antibodies, peptides, and small molecules) and the availability of new radioisotopes, have enabled considerable advances in the field of vectorized internal radiotherapy with a better therapeutic efficacy, radiation safety and personalized treatments. For instance, targeting the tumor microenvironment, instead of the cancer cells, now appears particularly attractive. Several radiopharmaceuticals for therapeutic targeting have shown clinical value in several types of tumors and have been or will soon be approved and authorized for clinical use. Following their clinical and commercial success, research in that domain is particularly growing, with the clinical pipeline appearing as a promising target. This review aims to provide an overview of current research on targeting radionuclide therapy.
The Relationship between Augustine’s Anthropological Duality and His Doctrine of the Two Cities
Authors: Dupont Anthony , Bruning Bernard , Venken Kristiaan
Published: June 2023

Augustine of Hippo’s early works distinguish between the earthly human person, driven by worldly desires, and the reborn person, oriented towards heaven. Later, in his monumental De ciuitate Dei (On the City of God), Augustine expands on this distinction, proposing the existence of two cities: the earthly city, characterized by the love of self; and the city of God, characterized by the love of God. This tension between the two loves shapes human understanding of and place in the world. This article explores how the said tension reflects a duality in human nature, tracing the development of the relationship between Augustine’s doctrine of the two cities and his reflections on the dual human nature from his early works to De ciuitate Dei. The article studies whether the duality of human nature mirrors the dichotomy between the ciuitas Dei (city of God) and the ciuitas terrena (earthly city), examining how the conflict between good and evil within individuals and society serves as a model for the conflict between the two cities in Augustine’s doctrine, with a focus on how these concepts are expounded in his earlier writings and articulated in his De ciuitate Dei. It examines how the interaction between these loves manifests in human actions and desires, and shapes our understanding of the good and desirable. Ultimately, this article seeks to address the question of whether the tension between the love of God and the love of self, both in society and in human nature, is capable of harmonious resolution in Augustine’s mindset.
Characterizing Post-Fire Forest Structure Recovery in the Great Xing’an Mountain Using GEDI and Time Series Landsat Data
Authors: Lin Simei , Zhang Huiqing , Liu Shangbo , Gao Ge , Li Linyuan , Huang Huaguo
Published: June 2023

Understanding post-fire forest recovery is critical to the study of forest carbon dynamics. Many previous studies have used multispectral imagery to estimate post-fire recovery, yet post-fire forest structural development has rarely been evaluated in the Great Xing’an Mountain. In this study, we extracted the historical fire events from 1987 to 2019 based on a classification of Landsat imagery and assessed post-fire forest structure for these burned patches using Global Ecosystem Dynamics Investigation (GEDI)-derived metrics from 2019 to 2021. Two drivers were assessed for the influence on post-fire structure recovery, these being pre-fire canopy cover (i.e., dense forest and open forest) and burn severity levels (i.e., low, moderate, and high). We used these burnt patches to establish a 25-year chronosequence of forest structural succession by a space-for-time substitution method. Our result showed that the structural indices suggested delayed recovery following the fire, indicating a successional process from the decomposition of residual structures to the regeneration of new tree species in the post-fire forest. Across the past 25-years, the dense forest tends toward greater recovery than open forest, and the recovery rate was faster for low severity, followed by moderate severity and high severity. Specifically, in the recovery trajectory, the recovery indices were 21.7% and 17.4% for dense forest and open forest, and were 27.1%, 25.8%, and 25.4% for low, moderate, and high burn severity, respectively. Additionally, a different response to the fire was found in the canopy structure and height structure since total canopy cover (TCC) and plant area index (PAI) recovered faster than relative height (i.e., RH75 and RH95). Our results provide valuable information on forest structural restoration status, that can be used to support the formulation of post-fire forest management strategies in Great Xing’an Mountain.
Real-Time Water Level Monitoring Based on GNSS Dual-Antenna Attitude Measurement
Authors: Zhang Pengjie , Pang Zhiguo , Lu Jingxuan , Jiang Wei , Sun Minghan
Published: June 2023

Real-time and high-precision water level monitoring is crucial for the fields of hydrology, hydraulic engineering, and disaster prevention and control. The most prevalent method for measuring water level is through the use of water level gauges, which can be costly and have limited coverage. In recent years, Global Navigation Satellite System Reflectometry (GNSS-R) technology has emerged as a promising approach for water level monitoring due to its low cost and high coverage. However, a limitation of current GNSS-R technology is the extended time required to record signals, which hinders its potential for real-time application. This paper introduces a novel real-time water level monitoring method based on GNSS dual-antenna attitude measurement and develops a model to invert water level based on baseline vector. This method uses double-difference observations to eliminate errors caused by various factors, such as satellite and receiver clock, and ionospheric and tropospheric delay. To avoid the impact of detecting and correcting cycle slips during real-time operations, a single-epoch calculation method is introduced. In order to verify the stability and reliability of our method, field tests were carried out at Dongshahe Station in Beijing. We obtained water level data with a time resolution of 1 Hz through field experiments. Experimental data collected from 12 May to 8 June 2022 and from 4 July to 8 August 2022 showed good agreement with on-site water gauge measurements, with root mean square errors of 2.77 cm and 2.54 cm, respectively. Experimental results demonstrate that this method can achieve high-precision, high-temporal-resolution water level monitoring.
Removing Time Dispersion from Elastic Wave Modeling with the pix2pix Algorithm Based on cGAN
Authors: Xu Teng , Yan Hongyong , Yu Hui , Zhang Zhiyong
Published: June 2023

The finite-difference (FD) method is one of the most commonly used numerical methods for elastic wave modeling. However, due to the difference approximation of the derivative, the time dispersion phenomenon cannot be avoided. This paper proposes the use of pix2pix algorithm based on a conditional generative adversarial network (cGAN) for removing time dispersion from elastic FD modeling. Firstly, we analyze the time dispersion of elastic wave FD modeling. Then, we discuss the pix2pix algorithm based on cGAN, improve the loss function of the pix2pix algorithm by introducing a Sobel operator, and analyze the parameter selection of the network model for the pix2pix algorithm. Finally, we verify the feasibility and effectiveness of the pix2pix algorithm in removing time dispersion from elastic wave FD modeling through testing some model simulation data.
Ensemble-Learning Framework for Intrusion Detection to Enhance Internet of Things’ Devices Security
Authors: Alotaibi Yazeed , Ilyas Mohammad
Published: June 2023

The Internet of Things (IoT) comprises a network of interconnected nodes constantly communicating, exchanging, and transferring data over various network protocols. Studies have shown that these protocols pose a severe threat (Cyber-attacks) to the security of data transmitted due to their ease of exploitation. In this research, we aim to contribute to the literature by improving the Intrusion Detection System (IDS) detection efficiency. In order to improve the efficiency of the IDS, a binary classification of normal and abnormal IoT traffic is constructed to enhance the IDS performance. Our method employs various supervised ML algorithms and ensemble classifiers. The proposed model was trained on TON-IoT network traffic datasets. Four of the trained ML-supervised models have achieved the highest accurate outcomes; Random Forest, Decision Tree, Logistic Regression, and K-Nearest Neighbor. These four classifiers are fed to two ensemble approaches: voting and stacking. The ensemble approaches were evaluated using the evaluation metrics and compared for their efficacy on this classification problem. The accuracy of the ensemble classifiers was higher than that of the individual models. This improvement can be attributed to ensemble learning strategies that leverage diverse learning mechanisms with varying capabilities. By combining these strategies, we were able to enhance the reliability of our predictions while reducing the occurrence of classification errors. The experimental results show that the framework can improve the efficiency of the Intrusion Detection System, achieving an accuracy rate of 0.9863.
Scalable Lightweight IoT-Based Smart Weather Measurement System
Authors: Albuali Abdullah , Srinivasagan Ramasamy , Aljughaiman Ahmed , Alderazi Fatima
Published: June 2023

The Internet of Things (IoT) plays a critical role in remotely monitoring a wide variety of different application sectors, including agriculture, building, and energy. The wind turbine energy generator (WTEG) is a real-world application that can take advantage of IoT technologies, such as a low-cost weather station, where human activities can be significantly affected by enhancing the production of clean energy based on the known direction of the wind. Meanwhile, common weather stations are neither affordable nor customizable for specific applications. Moreover, due to weather forecast changes over time and location within the same city, it is not efficient to rely on a limited number of weather stations that may be located far away from a recipient’s location. Therefore, in this paper, we focus on presenting a low-cost weather station that relies on an artificial intelligence (AI) algorithm that can be distributed across a WTEG area with minimal cost. The proposed study measures multiple weather parameters, such as wind direction, wind velocity (WV), temperature, pressure, mean sea level, and relative humidity to provide current measurements to recipients and AI-based forecasts. In addition, the proposed study consists of several heterogeneous nodes and a controller for each station in a target area. The collected data can be transmitted through Bluetooth low energy (BLE). The experimental results reveal that the proposed study matches the standard of the National Meteorological Center (NMC), with a nowcast measurement of 95% accuracy for WV and 92% for wind direction (WD).
IoT Sensor Challenges for Geothermal Energy Installations Monitoring: A Survey
Authors: Prauzek Michal , Kucova Tereza , Konecny Jaromir , Adamikova Monika , Gaiova Karolina , Mikus Miroslav , Pospisil Pavel , Andriukaitis Darius , Zilys Mindaugas , Martinkauppi Birgitta , Koziorek Jiri
Published: June 2023

Geothermal energy installations are becoming increasingly common in new city developments and renovations. With a broad range of technological applications and improvements in this field, the demand for suitable monitoring technologies and control processes for geothermal energy installations is also growing. This article identifies opportunities for the future development and deployment of IoT sensors applied to geothermal energy installations. The first part of the survey describes the technologies and applications of various sensor types. Sensors that monitor temperature, flow rate and other mechanical parameters are presented with a technological background and their potential applications. The second part of the article surveys Internet-of-Things (IoT), communication technology and cloud solutions applicable to geothermal energy monitoring, with a focus on IoT node designs, data transmission technologies and cloud services. Energy harvesting technologies and edge computing methods are also reviewed. The survey concludes with a discussion of research challenges and an outline of new areas of application for monitoring geothermal installations and innovating technologies to produce IoT sensor solutions.
A Data-Driven Approach for Building the Profile of Water Storage Capacity of Soils
Authors: Zhou Jiang , Briciu-Burghina Ciprian , Regan Fiona , Ali Muhammad Intizar
Published: June 2023

The soil water storage capacity is critical for soil management as it drives crop production, soil carbon sequestration, and soil quality and health. It depends on soil textural class, depth, land-use and soil management practices; therefore, the complexity strongly limits its estimation on a large scale with conventional-process-based approaches. In this paper, a machine learning approach is proposed to build the profile of the soil water storage capacity. A neural network is designed to estimate the soil moisture from the meteorology data input. By taking the soil moisture as a proxy in the modelling, the training captures those impact factors of soil water storage capacity and their nonlinear interaction implicitly without knowing the underlying soil hydrologic processes. An internal vector of the proposed neural network assimilates the soil moisture response to meteorological conditions and is regulated as the profile of the soil water storage capacity. The proposed approach is data-driven. Since the low-cost soil moisture sensors have made soil moisture monitoring simple and the meteorology data are easy to obtain, the proposed approach enables a convenient way of estimating soil water storage capacity in a high sampling resolution and at a large scale. Moreover, an average root mean squared deviation at 0.0307m3/m3 can be achieved in the soil moisture estimation; hence, the trained model can be deployed as an alternative to the expensive sensor networks for continuous soil moisture monitoring. The proposed approach innovatively represents the soil water storage capacity as a vector profile rather than a single value indicator. Compared with the single value indicator, which is common in hydrology, a multidimensional vector can encode more information and thus has a more powerful representation. This can be seen in the anomaly detection demonstrated in the paper, where subtle differences in soil water storage capacity among the sensor sites can be captured even though these sensors are installed on the same grassland. Another merit of vector representation is that advanced numeric methods can be applied to soil analysis. This paper demonstrates such an advantage by clustering sensor sites into groups with the unsupervised K-means clustering on the profile vectors which encapsulate soil characteristics and land properties of each sensor site implicitly.
Aging in Place or Moving to Higher Ground: Older Adults’ Adaptation to Sea Level Rise in Honolulu, Hawaii
Authors: Shen Suwan , Kim Karl , Liu Dingyi
Published: June 2023

Coastal communities face escalating risks from rising sea levels and the increasing growth of vulnerable, aging populations in high-risk zones. These threats are expected to intensify as population growth and aging trends continue. In response to these challenges, this study represents a novel investigation into the synergistic impacts of demographic shifts and climate change in shaping the vulnerability of coastal communities, particularly focusing on elderly populations. This study’s primary objectives are to assess the potential impacts of these threats on vulnerable older adults and to explore effective adaptation strategies. To achieve these objectives, we used census tract data from Hawaii and the Hamilton–Perry cohort-component method to project the elderly population trends in each census tract for Honolulu in 2050. The vulnerabilities of older adults were estimated under different sea level rise level conditions and mapped according to three planning scenarios: (1) maintaining the status quo; (2) relocating or redeveloping vulnerable elderly residents to safer, low-density neighborhoods; (3) relocating or redeveloping vulnerable elderly residents to secure, high-density areas with amenities for older adults. We further evaluated transportation accessibility to emergency services in these scenarios. The findings reveal that with a projected sea level rise of 1.1 feet, the number of elderly individuals without timely access (within 8 min) to emergency and healthcare services would double by 2050. This is primarily attributed to reduced transportation access and increased aging in high-risk areas. Compared to the status quo, both relocation (or redevelopment) strategies significantly improve the vulnerable elderly population’s access to emergency and healthcare services, even without enhancements in transportation and infrastructure. Given that many developments and aging trends are yet to fully unfold, we propose that existing adaptation strategies should prioritize land use development, along with housing and transportation solutions that align with development scenarios 2 and 3, to support age-friendly activities and lifestyles. By directing population growth towards less vulnerable zones in the coming decades, we can achieve protective effects equivalent to those of future relocation efforts, but without incurring substantial protection or relocation costs.
Uncovering the Mechanism of Online-Learning Stress of College Students
Authors: Wang Enuo , Zhang Xueyao
Published: June 2023

Online-learning stress poses a significant challenge to the sustainability of higher education. The present study employs mixed methods to propose a conceptual process model that depicts the mechanism of online-learning stress of college students. The result of the qualitative study indicates 11 influential factors of online-learning stress, 10 manifestations of online-learning stress (OS), and three learning performance outcomes of OS (LP) through in-depth interviews with 15 college students. The result of a quantitative study on 159 online surveys implies that the influential factors of online-learning stress could be further categorized into learner competence and commitment (LC), course design reasonability (CD), and social support (SS). In addition, the results of the structural equation model (SEM) confirm the negative impact of LC and CD on OS, as well as OS on LP. However, the negative effect of SS on OS is unsupported. The study contributes to both OS theory development and online-learning and teaching in higher education.
Phytohormones Promote the Growth, Pigment Biosynthesis and Productivity of Green Gram [Vigna radiata (L.) R. Wilczek]
Authors: Iqbal Asif , Iqbal Muhammad Aamir , Akram Iqra , Saleem Muhammad Abdullah , Abbas Rana Nadeem , Alqahtani Mashael Daghash , Ahmed Raees , Rahim Junaid
Published: June 2023

Globally, optimized doses of exogenously applied growth regulators hold the potential to sustainably boost the growth and productivity of leguminous crops, including green gram. A field investigation was undertaken at the Agronomy Farm of the University of Agriculture Faisalabad, Pakistan in 2021–2022 to determine the highest-performing doses of foliar-applied salicylic acid (S1 = 0 and S2 = 75 ppm) and gibberellic acid (G1 = 0, G2 = 30, G3 = 60, G4 = 90 and G5 = 120 ppm) for green gram (cv. NIAB-MUNG 2011) sown under irrigated conditions in a semiarid climate. The response variables included physiological growth traits (CGR and net assimilation rate (NAR)), yield attributes (plant height (PH), PBs and the number of pods per plant−1 (NP), pod length (PL) and SW, grain (GY) and biological yields (BY), the biosynthesis of pigments (chlorophyll a, chlorophyll b and total chlorophyll along with carotenoids) and protein (P) contents. The results revealed that S2G5 remained unmatched in that it exhibited the highest crop growth rate, while it remained on par with S2G4 and S2G3 in terms of its net assimilation rate. Additionally, S2G5 maximized plant height, the number of pod-bearing branches and pods per plant, pod length, seed number per pod−1 and 1000-seed weight, which led to the highest grain yield and biological yield (104% and 69% greater than those of the control, respectively). Moreover, the same treatment combination also surpassed the rest of the treatments because it recorded the largest amounts of chlorophyll and carotenoid contents, and the P content was increased to 24% greater than that observed for the control treatment. Thus, the exogenous application of salicylic acid (75 ppm) and gibberellic acid (120 ppm) might be recommended to green gram growers to sustainably increase the plant’s yield and nutritional value, and these findings may serve as a baseline for conducting more studies to test higher doses of these growth regulators.
Advancing Primary Education through Active Teaching Methods and ICT for Increasing Knowledge
Authors: Garzon Paul , Inga Esteban
Published: June 2023

This article is based on enhancing online interaction while integrating it with face-to-face interaction and promoting access to and development of information and communication technologies (ICT). The aim was to implement digital tools for researching and developing school assignments. The study employed a mixed method approach, incorporating qualitative–quantitative techniques—such as surveys and observations—to analyze documents related to the investigation. The article elucidates the conceptual and theoretical framework, methodological criteria, and interdisciplinary approach that aligns with the investigated group’s profile. The applicability of the proposed methodology was demonstrated in practice, indicating its effectiveness in reaching a superior level of understanding, competence, and behavior. The outcomes substantiate that applying active tools and methodologies grounded in the knowledge of society can reinforce the notion that education is the cornerstone of social development, including ICT.
Technological Mediation of Photovoltaic System to Improve Rural Sustainability in the Background of Resettlement and Consolidation: Evidence from the Rural Community and Villages in China
Authors: Wang Yuhang , Fan Jingbo
Published: June 2023

Settlement structure is the most essential aspect of rural landscapes and habitations in China. The process of merging rural settlements has given rise to tensions in spatial-social structures, posing significant risks to rural sustainability. However, little research has been undertaken to analyze potential resolutions for the challenges of sustainable development in the context. Based on the technological mediation theory, we used participant observation and interviews to investigate the effects of the photovoltaic system on spatial-social structures, governance patterns, and rural sustainability. By focusing on a representative merger project area situated in Shandong Province, our research revealed that the photovoltaic system improved spatial, social, and governance sustainability in rural areas rather than only the environmental aspect. In the spatial dimension, the photovoltaic system reconstructed domestic spaces and activated scenarios conducive to public life. In the social dimension, it fostered the eradication of disparities in identity and facilitated the reintegration of social networks. In the governance dimension, a large-scale governance pattern supported by mutual interest, collective trust, and the integrated system was developed to successfully resolve emerging problems and ultimately promoted the sustainability of the community–village region. The findings highlight the efficacy of employing technological design as a means to resolve resettlement dilemmas, which could shed light on the elimination of conflicts arising from the interplay between urbanization and sustainability of rural areas.
Sustainable Improvement of Planting Quality for a Planar 5R Parallel Transplanting Mechanism from the Perspective of Machine and Soil Interaction
Authors: Xu Gaowei , Fang Huimin , Liu Junxiao
Published: June 2023

The poor shape of the cavity formed by the planar 5R parallel transplanting mechanism will cause Salvia miltiorrhiza seedlings to tilt while transplanting them. In order to improve the quality of the cavity in Salvia miltiorrhiza planting, this paper analyzed the structural composition and working principle of a planar 5R parallel transplanting mechanism for Salvia miltiorrhiza and established the bidirectional coupling model between the transplanting mechanism and the soil. Based on the model, a regression analysis model and the influence of three factors and five levels were obtained by using the experimental optimization design method, which reflected the relationship between the parameters of the mechanism on the parameters of the cavity. In terms of the optimization objective and regression model, the optimal parameter combination of the transplanting mechanism was obtained by multi-objective parameter optimization. A virtual test of cavity formation was conducted on the transplanting mechanism for Salvia miltiorrhiza with an optimal parameter combination. The results proved that the parameters of cavity output via the regression model and the measurement from the bidirectional coupling model were basically consistent, which verifies the accuracy of our parameter optimization for the transplanting mechanism. This paper provides a new approach to the sustainable improvement of a Salvia miltiorrhiza transplanting mechanism from the perspective of the interaction between the machine and the soil.