bluuebunny/crossref_metadata_2025 huggingface dataset:
Dietary Patterns and Alzheimer’s Disease: An Updated Review Linking Nutrition to Neuroscience
Authors: Ellouze Ines , Sheffler Julia , Nagpal Ravinder , Arjmandi Bahram
Published: July 2023

Alzheimer’s disease (AD) is a growing concern for the aging population worldwide. With no current cure or reliable treatments available for AD, prevention is an important and growing area of research. A range of lifestyle and dietary patterns have been studied to identify the most effective preventive lifestyle changes against AD and related dementia (ADRD) pathology. Of these, the most studied dietary patterns are the Mediterranean, DASH, MIND, ketogenic, and modified Mediterranean-ketogenic diets. However, there are discrepancies in the reported benefits among studies examining these dietary patterns. We herein compile a narrative/literature review of existing clinical evidence on the association of these patterns with ADRD symptomology and contemplate their preventive/ameliorative effects on ADRD neuropathology in various clinical milieus. By and large, plant-based dietary patterns have been found to be relatively consistently and positively correlated with preventing and reducing the odds of ADRD. These impacts stem not only from the direct impact of specific dietary components within these patterns on the brain but also from indirect effects through decreasing the deleterious effects of ADRD risk factors, such as diabetes, obesity, and cardiovascular diseases. Importantly, other psychosocial factors influence dietary intake, such as the social connection, which may directly influence diet and lifestyle, thereby also impacting ADRD risk. To this end, prospective research on ADRD should include a holistic approach, including psychosocial considerations.
Raspberry Leaves and Extracts-Molecular Mechanism of Action and Its Effectiveness on Human Cervical Ripening and the Induction of Labor
Authors: Socha Maciej W. , Flis Wojciech , Wartęga Mateusz , Szambelan Monika , Pietrus Miłosz , Kazdepka-Ziemińska Anita
Published: July 2023

The gestational period is an incredibly stressful time for a pregnant woman. Pregnant patients constantly seek effective and reliable compounds in order to achieve a healthy labor. Nowadays, increasing numbers of women use herbal preparations and supplements during pregnancy. One of the most popular and most frequently chosen herbs during pregnancy is the raspberry leaf (Rubus idaeus). Raspberry extracts are allegedly associated with a positive effect on childbirth through the induction of uterine contractions, acceleration of the cervical ripening, and shortening of childbirth. The history of the consumption of raspberry leaves throughout pregnancy is vast. This review shows the current status of the use of raspberry leaves in pregnancy, emphasizing the effect on the cervix, and the safety profile of this herb. The majority of women apply raspberry leaves during pregnancy to induce and ease labor. However, it has not been possible to determine the exact effect of using raspberry extracts on the course of childbirth and the perinatal period. Additionally, it is unclear whether this herb has only positive effects. The currently available data indicate a weak effect of raspberry leaf extracts on labor induction and, at the same time, their possible negative impact on cervical ripening.
Does Religious Fasting Have a Protective Role against Metabolic Syndrome in Individuals Aged >50 Years?
Authors: Kokkinopoulou Anna , Pagkalos Ioannis , Rodopaios Nikolaos E. , Koulouri Alexandra-Aikaterini , Vasara Eleni , Papadopoulou Sousana K. , Skepastianos Petros , Hassapidou Maria , Kafatos Anthony G.
Published: July 2023

Objective: The Christian Orthodox Church (COC) fasting is a periodic vegetarian-type diet lasting 180–200 days annually in which seafood and snails are allowed on all fasting days. Our aim was to investigate the effects of COC fasting on metabolic syndrome (MetS) in adults >50 years. Methods: One hundred seventy-six individuals participated in the study (mean age 59.7 ± 6.0 years). Eighty-nine had been following the COC fasting regime since their childhood and eighty-seven were non-fasters. Anthropometric measurements, blood samples, and nutrient intake data were collected at a scheduled appointment, during a non-fasting period. Results: Fasters had significantly higher hip circumference (102 ± 8.5 vs. 98.8 ± 7.5 cm, p = 0.009), low-density lipoprotein (LDL) cholesterol (136 ± 73 vs. 115 ± 51 mg/dL, p = 0.033), and folic acid levels (6.0 ± 4.0 vs. 3.0 ± 1.2 ng/mL, p = 0.018), as well as lower systolic blood pressure (SBP) (131 ± 13 vs. 136 ± 14 mmHg, p = 0.045), diastolic blood pressure (DBP) (80 ± 8 vs. 83 ± 7 mmHg, p = 0.007), glucose (87 ± 16 vs. 93 ± 25 mg/dL, p = 0.039), and triglycerides (143 ± 94 vs. 175 ± 84 mg/dL, p = 0.040). Fasters had significantly less intake of calories (1493.65 ± 363.74 vs. 1614.65 ± 426.28 kcal, p = 0.044) and fat (81.17 ± 25.47 vs. 90.74 ± 24.75 g, p = 0.012), whereas they also consumed significantly less vitamin A-retinol, vitamin B2, vitamin B12, vitamin E, folic acid, pantothenic acid, calcium, phosphorus, zinc, and significantly more vitamin C (p < 0.005 for all comparisons). BP was significantly higher in non-fasters (44.8 vs. 22.5%, p = 0.002), whereas MetS was more frequently present in non-fasters vs. fasters, with a marginal level of significance (35.6 vs. 22.5%, p = 0.055). Conclusions: COC fasting may affect beneficially MetS prevalence in individuals >50 years, although future research is needed before reaching definite conclusions.
Adherence and Sociodemographic Determinants of Adherence to the Mediterranean Diet among Slovenian Adults and the Elderly
Authors: Poklar Vatovec Tamara , Jenko Pražnikar Zala , Petelin Ana
Published: July 2023

The Mediterranean diet (MD) is considered a model for good health, and is promoted worldwide as one of the healthiest dietary patterns. Despite the MD’s health benefits, the literature suggests that adherence to the MD tends to be in decline in most populations worldwide, including those in the Mediterranean region. The aim of this study was to investigate adherence to the MD, and its main sociodemographic and lifestyle factors, in the Slovenian population. Using a nationwide cross-sectional food consumption survey (SI.Menu), data were collected from a general questionnaire, from the 14-item MD adherence screener (14-MEDAS score), and from a questionnaire on the dietary habits of 850 adults and elderly people. The mean MEDAS score for the total study sample was 5.6 (SD 2.1), indicating a low adherence to the MD among the Slovenian population. The adherence to the MD was higher among women (OR = 1.534; 95% Cl 1.156–2.034), those with a university degree (OR = 1.527; 1.098–2.125; compared to those with no university degree), those who lived in a suburb or city (OR = 1.511; 1.016–2.249; OR = 1.568; 1.122–2.191; compared with those who lived in a village), non-smokers (OR = 1.561; 1.380–1.830; compared with smokers), and those who lived in the western part of Slovenia (OR = 1.558; 1.170–2.074; compared with those who lived in eastern Slovenia). Adherence to the MD in the Slovenian population is low, and is strongly related to educational level, gender, geographic region, place of residence, and smoking status. The frequency of the consumption of different food groups is also closely related.
Sulforaphane Inhibits Exhaustive Exercise-Induced Liver Injury and Transcriptome-Based Mechanism Analysis
Authors: Yang Jining , Guo Xinxin , Li Tianyou , Xie Yingquan , Wang Dawei , Yi Long , Mi Mantian
Published: July 2023

Exhaustive exercise (EE) induces liver injury and has recently gained much attention. Sulforaphane (SFN) can protect the liver from inflammation and oxidative stress. However, the effects of SFN on EE-induced liver injury and its underlying mechanisms are still unclear. C57BL/6J mice swimming to exhaustion for seven days were used to simulate the liver injury caused by EE. Different doses of SFN (10, 30, 90 mg/kg body weight) were gavage-fed one week before and during the exercise. SFN intervention significantly reduced the EE-induced lactate dehydrogenase (LDH), creatine kinase (CK), alanine aminotransferase (ALT), and aspartate aminotransferase (AST) in the serum, as well as attenuating liver tissue morphological abnormality, oxidative stress injury, and inflammation. Liver transcriptomic analysis showed that the differentially expressed genes altered by SFN intervention in the exercise model were mainly enriched in glucose and lipid metabolism pathways. The most altered gene by SFN intervention screened by RNA-seq and validated by qRT-PCR is Ppp1r3g, a gene involved in regulating hepatic glycogenesis, which may play a vital role in the protective effects of SFN in EE-induced liver damage. SFN can protect the liver from EE-induced damage, and glucose and lipid metabolism may be involved in the mechanism of the protective effects.
Mouse Models for Human Herpesviruses
Authors: Kutle Ivana , Dittrich Anne , Wirth Dagmar
Published: July 2023

More than one hundred herpesviruses have been isolated from different species so far, with nine infecting humans. Infections with herpesviruses are characterized by life-long latency and represent a significant challenge for human health. To investigate the consequences of infections and identify novel treatment options, in vivo models are of particular relevance. The mouse has emerged as an economical small animal model to investigate herpesvirus infections. However, except for herpes simplex viruses (HSV-1, HSV-2), human herpesviruses cannot infect mice. Three natural herpesviruses have been identified in mice: mouse-derived cytomegalovirus (MCMV), mouse herpesvirus 68 (MHV-68), and mouse roseolovirus (MRV). These orthologues are broadly used to investigate herpesvirus infections within the natural host. In the last few decades, immunocompromised mouse models have been developed, allowing the functional engraftment of various human cells and tissues. These xenograft mice represent valuable model systems to investigate human-restricted viruses, making them particularly relevant for herpesvirus research. In this review, we describe the various mouse models used to study human herpesviruses, thereby highlighting their potential and limitations. Emphasis is laid on xenograft mouse models, covering the development and refinement of immune-compromised mice and their application in herpesvirus research.
Community Health-Education Intervention Trial against Human Taenia solium Taeniasis/Cysticercosis in Central and Southern Zones of Tanzania
Authors: Makingi George , Ngowi Bernard , Mkupasi Ernatus , Wilson Christina , Winkler Andrea Sylvia , Nzalawahe Jahashi , Ngowi Helena
Published: July 2023

Poor knowledge of human T. solium taeniasis/cysticercosis and insufficient sanitary and hygienic practices have been associated with the persistence of human T. solium infections in endemic areas. Community health education intervention measures were implemented in 42 villages of Kongwa and Songwe Districts to increase knowledge, improve good practices against infection and reduce incidences of human cysticercosis transmission using a health education package. The health education package comprised of leaflet, poster and a booklet The 42 villages were allocated into intervention group and control group, and each group consisted of 21 villages. Baseline and post-intervention information on social demography, knowledge, safe practices and incidences of human cysticercosis was collected from both village groups. The impact of the intervention was evaluated by comparing changes in knowledge, preventive practices related to human T. solium infections and the cumulative incidence of human cysticercosis between intervention and control villages. There was no significant difference in mean knowledge scores and preventive practice mean scores between the control and intervention groups at baseline. However, there were significantly higher knowledge mean scores in the intervention group compared to the control group at one year post-intervention (2.06 ± 1.45 vs. 0.94 ± 1.18, p < 0.001). There was no significant difference in the mean practice scores between the intervention and the control group at one year post-intervention (2.49 ± 1.13 vs. 2.40 ± 1.13, p = 0.31). Furthermore, there was no significant difference in the prevalence of human T. solium cysticercosis between the intervention and the control group at the baseline (1.4% vs. 1.4%, p = 0.97) by Ag-Elisa, and at one year post-intervention the cumulative incidence of human cysticercosis was 1.9 and 1.2 per cent in the control and intervention group, respectively. There was no significant difference in the cumulative incidence of human cysticercosis between the intervention and the control group at one year post-intervention (p > 0.05). Community health-education intervention is effective at improving the knowledge of human T. solium infections. The improvement in preventive practices and reduction in incidences of human cysticercosis are a gradual process, they may require sanitary and hygienic improvement and more time after the intervention to see improved changes. The study recommends a sustainable public health education on T. solium infections using the health education package through one health approach.
Quaternary Ammonium Palmitoyl Glycol Chitosan (GCPQ) Loaded with Platinum-Based Anticancer Agents—A Novel Polymer Formulation for Anticancer Therapy
Authors: Lerchbammer-Kreith Yvonne , Hejl Michaela , Sommerfeld Nadine S. , Weng-Jiang Xian , Odunze Uchechukwu , Mellor Ryan D. , Workman David G. , Jakupec Michael A. , Schätzlein Andreas G. , Uchegbu Ijeoma F. , Galanski Mathea S. , Keppler Bernhard K.
Published: July 2023

Quaternary ammonium palmitoyl glycol chitosan (GCPQ) has already shown beneficial drug delivery properties and has been studied as a carrier for anticancer agents. Consequently, we synthesised cytotoxic platinum(IV) conjugates of cisplatin, carboplatin and oxaliplatin by coupling via amide bonds to five GCPQ polymers differing in their degree of palmitoylation and quaternisation. The conjugates were characterised by 1H and 195Pt NMR spectroscopy as well as inductively coupled plasma mass spectrometry (ICP-MS), the latter to determine the amount of platinum(IV) units per GCPQ polymer. Cytotoxicity was evaluated by the MTT assay in three human cancer cell lines (A549, non-small-cell lung carcinoma; CH1/PA-1, ovarian teratocarcinoma; SW480, colon adenocarcinoma). All conjugates displayed a high increase in their cytotoxic activity by factors of up to 286 times compared to their corresponding platinum(IV) complexes and mostly outperformed the respective platinum(II) counterparts by factors of up to 20 times, also taking into account the respective loading of platinum(IV) units per GCPQ polymer. Finally, a biodistribution experiment was performed with an oxaliplatin-based GCPQ conjugate in non-tumour-bearing BALB/c mice revealing an increased accumulation in lung tissue. These findings open promising opportunities for further tumouricidal activity studies especially focusing on lung tissue.
Covalent Inhibitors for Neglected Diseases: An Exploration of Novel Therapeutic Options
Authors: Alves Erick Tavares Marcelino , Pernichelle Filipe Gomes , Nascimento Lucas Adriano , Ferreira Glaucio Monteiro , Ferreira Elizabeth Igne
Published: July 2023

Neglected diseases, primarily found in tropical regions of the world, present a significant challenge for impoverished populations. Currently, there are 20 diseases considered neglected, which greatly impact the health of affected populations and result in difficult-to-control social and economic consequences. Unfortunately, for the majority of these diseases, there are few or no drugs available for patient treatment, and the few drugs that do exist often lack adequate safety and efficacy. As a result, there is a pressing need to discover and design new drugs to address these neglected diseases. This requires the identification of different targets and interactions to be studied. In recent years, there has been a growing focus on studying enzyme covalent inhibitors as a potential treatment for neglected diseases. In this review, we will explore examples of how these inhibitors have been used to target Human African Trypanosomiasis, Chagas disease, and Malaria, highlighting some of the most promising results so far. Ultimately, this review aims to inspire medicinal chemists to pursue the development of new drug candidates for these neglected diseases, and to encourage greater investment in research in this area.
Targeted Bioluminescent Imaging of Pancreatic Ductal Adenocarcinoma Using Nanocarrier-Complexed EGFR-Binding Affibody–Gaussia Luciferase Fusion Protein
Authors: Hersh Jessica , Yang Yu-Ping , Roberts Evan , Bilbao Daniel , Tao Wensi , Pollack Alan , Daunert Sylvia , Deo Sapna K.
Published: July 2023

In vivo imaging has enabled impressive advances in biological research, both preclinical and clinical, and researchers have an arsenal of imaging methods available. Bioluminescence imaging is an advantageous method for in vivo studies that allows for the simple acquisition of images with low background signals. Researchers have increasingly been looking for ways to improve bioluminescent imaging for in vivo applications, which we sought to achieve by developing a bioluminescent probe that could specifically target cells of interest. We chose pancreatic ductal adenocarcinoma (PDAC) as the disease model because it is the most common type of pancreatic cancer and has an extremely low survival rate. We targeted the epidermal growth factor receptor (EGFR), which is frequently overexpressed in pancreatic cancer cells, using an EGFR-specific affibody to selectively identify PDAC cells and delivered a Gaussia luciferase (GLuc) bioluminescent protein for imaging by engineering a fusion protein with both the affibody and the bioluminescent protein. This fusion protein was then complexed with a G5-PAMAM dendrimer nanocarrier. The dendrimer was used to improve the protein stability in vivo and increase signal strength. Our targeted bioluminescent complex had an enhanced uptake into PDAC cells in vitro and localized to PDAC tumors in vivo in pancreatic cancer xenograft mice. The bioluminescent complexes could delineate the tumor shape, identify multiple masses, and locate metastases. Through this work, an EGFR-targeted bioluminescent–dendrimer complex enabled the straightforward identification and imaging of pancreatic cancer cells in vivo in preclinical models. This argues for the targeted nanocarrier-mediated delivery of bioluminescent proteins as a way to improve in vivo bioluminescent imaging.
Pityopsis ruthii: An Updated Review of Conservation Efforts for an Endangered Plant
Authors: Wadl Phillip A. , Dattilo Adam J. , Call Geoff , Hadziabdic Denita , Trigiano Robert N.
Published: July 2023

Pityopsis ruthii (Small) Small, Ruth’s golden aster, is an endangered Asteraceae species that grows in the riparian zone along small sections of two rivers in the Southern Appalachian Mountains of the United States of America (USA). Since 1985, the species has been listed under the Endangered Species Act by the United States Fish and Wildlife Service (USFWS). The mission of the USFWS is to conserve, protect, and enhance fish, wildlife, and plants and their habitats for the continued benefit of the American people. The agency provides national leadership in the recovery and conservation of imperiled plant species by working with the scientific community to protect important habitats, increase species’ populations, and identify and reduce threats to species survival with the goal of removal from federal protection. Over the past 35 years, research efforts have focused on studies designed to delineate the range and size of populations, determine habitat requirements, reproductive and propagation potential, and understand the demographic, ecological, and genetic factors that may increase vulnerability to extinction for P. ruthii. Cooperative partnerships have driven the completion of actions called for in the strategy to recover P. ruthii, and in this review, we highlight these efforts within the context of species conservation.
Spectral Reflectance Indexes Reveal Differences in the Physiological Status of Brassica oleracea with Contrasting Glucosinolate Content under Biotic Stress
Authors: Soengas Pilar , Madloo Pari , Lema Margarita
Published: July 2023

Brassica species produce glucosinolates, a specific group of secondary metabolites present in the Brassicaceae family with antibacterial and antifungal properties. The employment of improved varieties for specific glucosinolates would reduce the production losses caused by pathogen attack. However, the consequences of the increment in these secondary metabolites in the plant are unknown. In this work, we utilized reflectance indexes to test how the physiological status of Brasica oleracea plants changes depending on their constitutive content of glucosinolates under nonstressful conditions and under the attack of the bacteria Xanthomonas campestris pv. campestris and the fungus Sclerotinia sclerotiorum. The modification in the content of glucosinolates had consequences in the resistance to both necrotrophic pathogens, and in several physiological aspects of the plants. By increasing the content in sinigrin and glucobrassicin, plants decrease photosynthesis efficiency (PR531, FvFm), biomass production (CHL-NDVI, SR), pigment content (SIPI, NPQI, RE), and senescence (YI) and increase their water content (WI900). These variables may have a negative impact in the productivity of crops in an agricultural environment. However, when plants are subjected to the attack of both necrotrophic pathogens, an increment of sinigrin and glucobrassicin confers an adaptative advantage to the plants, which compensates for the decay of physiological parameters.
Single and Multiple Gate Design Optimization Algorithm for Improving the Effectiveness of Fiber Reinforcement in the Thermoplastic Injection Molding Process
Authors: Perin Mattia , Lim Youngbin , Berti Guido A. , Lee Taeyong , Jin Kai , Quagliato Luca
Published: July 2023

Fiber reinforcement orientation in thermoplastic injection-molded components is both a strength as well as a weak point of this largely employed manufacturing process. Optimizing the fiber orientation distribution (FOD) considering the shape of the part and the applied loading conditions allows for enhancing the mechanical performances of the produced parts. Henceforth, this research proposes an algorithm to identify the best injection gate (IG) location/s starting from a 3D model and a user-defined load case. The procedure is composed of a first Visual Basic Architecture (VBA) code that automatically sets and runs Finite Volume Method (FVM) simulations to find the correlation between the fiber orientation tensor (FOT) and the IG locations considering single and multiple gates combinations up to three points. A second VBA code elaborates the results and builds a dataset considering the user-defined loading and constraint conditions, allowing the assignment of a score to each IG solution. Three geometrical components of increasing complexity were considered for a total of 1080 FVM simulations and a total computational time of ~390 h. The search for the best IG location has been further expanded by training a Machine Learning (ML) model based on the Gradient Boosting (GB) algorithm. The training database (DB) is based on FVM simulations and was expanded until a satisfactory prediction accuracy higher than 90% was achieved. The enhancement of the local FOD on the critical regions of three components was verified and showed an average improvement of 26.9% in the stiffness granted by a high directionality of the fibers along the load path. Finite element method (FEM) simulations and laboratory experiments on an industrial pump housing, injection-molded with a polyamide-66 reinforced with 30% of short glass fibers (PA66-30GF) material were also carried out to validate the FVM-FEM simulation frame and showed a 16.4% local stiffness improvement in comparison to the currently employed IG solution.
MAO- and Borate-Free Activating Supports for Group 4 Metallocene and Post-Metallocene Catalysts of α-Olefin Polymerization and Oligomerization
Authors: Nifant’ev Ilya E. , Komarov Pavel D. , Kostomarova Oksana D. , Kolosov Nikolay A. , Ivchenko Pavel V.
Published: July 2023

Modern industry of advanced polyolefins extensively uses Group 4 metallocene and post-metallocene catalysts. High-throughput polyolefin technologies demand the use of heterogeneous catalysts with a given particle size and morphology, high thermal stability, and controlled productivity. Conventional Group 4 metal single-site heterogeneous catalysts require the use of high-cost methylalumoxane (MAO) or perfluoroaryl borate activators. However, a number of inorganic phases, containing highly acidic Lewis and Brønsted sites, are able to activate Group 4 metal pre-catalysts using low-cost and affordable alkylaluminums. In the present review, we gathered comprehensive information on MAO- and borate-free activating supports of different types and discussed the surface nature and chemistry of these phases, examples of their use in the polymerization of ethylene and α-olefins, and prospects of the further development for applications in the polyolefin industry.
“I Can’t Do All This—This Is Nuts!”: An Ethnographic Account of the Challenges Posed by Vajrayāna Deity Yoga in a Western Context
Authors: Perkins Sophie-Anne
Published: July 2023

This article provides an in-depth exploration of the contextual, epistemic, ethical, personal, practical, religious, and socio-cultural factors that sixteen Western practitioners of Vajrayāna Buddhism highlighted as having particularly challenged their ability to learn and engage in deity yoga, including what strategies they may have adopted in attempting to overcome their impact. While these have been largely overlooked by empirical research on meditation, their pertinence to understanding practice efficacy and outcome, as well as the phenomenological unfolding of particularly adverse practice-related experiences, have recently been recognized alongside the prevalence of the latter. In addition, these practitioner testimonies shed light on how the cross-cultural transmission of Vajrayāna Buddhism involves a process in which practice approaches and environments are undergoing adaptation and negotiation in light of the needs and lifestyles of lay practitioners, while meaning is being synthesized through their responses to the experiences that unfold not only from their exposure to teachers and their teachings but also from their engagement in tantric practice.
Comparative Assessment of Five Machine Learning Algorithms for Supervised Object-Based Classification of Submerged Seagrass Beds Using High-Resolution UAS Imagery
Authors: Thomasberger Aris , Nielsen Mette Møller , Flindt Mogens Rene , Pawar Satish , Svane Niels
Published: July 2023

Knowledge about the spatial distribution of seagrasses is essential for coastal conservation efforts. Imagery obtained from unoccupied aerial systems (UAS) has the potential to provide such knowledge. Classifier choice and hyperparameter settings are, however, often based on time-consuming trial-and-error procedures. The presented study has therefore investigated the performance of five machine learning algorithms, i.e., Bayes, Decision Trees (DT), Random Trees (RT), k-Nearest Neighbor (kNN), and Support Vector Machine (SVM) when used for the object-based classification of submerged seagrasses from UAS-derived imagery. The influence of hyperparameter tuning and training sample size on the classification accuracy was tested on images obtained from different altitudes during different environmental conditions. The Bayes classifier performed well (94% OA) on images obtained during favorable environmental conditions. The DT and RT classifier performed better on low-altitude images (93% and 94% OA, respectively). The kNN classifier was outperformed on all occasions, while still producing OA between 89% and 95% in five out of eight scenarios. The SVM classifier was most sensitive to hyperparameter tuning with OAs ranging between 18% and 97%; however, it achieved the highest OAs most often. The findings of this study will help to choose the appropriate classifier and optimize related hyperparameter settings.
Dual-Parameter Simultaneous Full Waveform Inversion of Ground-Penetrating Radar for Arctic Sea Ice
Authors: Liu Ying , Liu Mengyuan , Xing Junhui , Ye Yixin
Published: July 2023

With global warming, Arctic sea ice, as one of the important factors regulating climate, has put forward new requirements for research. At present, the ground penetrating radar (GPR) is a powerful tool to obtain the structure of Arctic sea ice. Traditional offset imaging techniques no longer meet research requirements, and the two-parameter full waveform inversion (FWI) method has received widespread attention. To solve the high nonlinearity and ill-posed problem of FWI, the L-BFGS optimization algorithm and Wolfe criterion of inexact line search were used to update the model. The parameter scale factor, multiscale inversion strategy, and total variation (TV) regularization were introduced to optimize the inversion results. Finally, the inversion of anomalous bodies with different scales and different physical parameters is carried out, which verifies the reliability of the proposed method for dual-parameter imaging of Arctic sea ice and provides a powerful tool for the study of Arctic sea ice.
NDVI Response to Satellite-Estimated Antecedent Precipitation in Dryland Pastures
Authors: Brieva Carlos , Saco Patricia M. , Sandi Steven G. , Mora Sebastián , Rodríguez José F.
Published: July 2023

Precipitation is a critical driver of vegetation productivity and dynamics in dryland environments, especially in areas with intense livestock farming. Availability and access to accurate, reliable, and timely rainfall data are essential for natural resources management, environmental monitoring, and informing hydrological rainfall-runoff models. Gauged precipitation data in drylands are often scarce, fragmented, and with low spatial resolution; therefore, satellite-estimated precipitation becomes a valuable dataset for overcoming this constraint. Using statistical indices, we compared satellite-derived precipitation data from four products (CHIRPS, GPM, TRMM, and PERSIANN-CDR) against gauged data at different temporal scales (daily, monthly, and yearly). Spatial correlations were calculated for GPM and CHIRPS estimates against interpolated gauged precipitation. We then estimated NDVI response to Antecedent Accumulated Precipitation (AAP) for 1, 3, 6, 9, and 12 months of four major vegetation types typical of the region. Statistical metrics varied with temporal scales being highest and acceptable for periods of 1 month or 1 year. At monthly scale GPM presented the best Pearson’s Correlation Coefficient (r), Root Mean Square Error (RMSE) and RMSE-observations standard deviation ratio (RSR) and CHIRPS resulted in lower Mean Error (ME) and Bias. On an annual basis CHIRPS showed the best adjustment for all indicators except for r. NDVI responses to 3 months of AAP were significant for all vegetation types in the study area. The findings of this study show that estimated precipitation data from GPM and CHIRPS satellites are accurate and valuable as a tool for analysing the relationships between precipitation and vegetation in the drylands of Mendoza.
Research on a Hybrid Intelligent Method for Natural Gas Energy Metering
Authors: Dong Jingya , Song Bin , He Fei , Xu Yingying , Wang Qiang , Li Wanjun , Zhang Peng
Published: July 2023

In this paper, a Comprehensive Diagram Method (CDM) for a Multi-Layer Perceptron Neuron Network (MLPNN) is proposed to realize natural gas energy metering using temperature, pressure, and the speed of sound from an ultrasonic flowmeter. Training and testing of the MLPNN model were performed on the basis of 1003 real data points describing the compression factors (Z-factors) and calorific values of the three main components of natural gas in Sichuan province, China. Moreover, 20 days of real tests were conducted to verify the measurements’ accuracy and the adaptability of the new intelligent method. Based on the values of the Mean Relative Errors and the Root Mean Square errors for the learning and test errors calculated on the basis of the actual data, the best-quality MLP 3-5-1 network for the metering of Z-factors and the new CDM methods for the metering of calorific values were experimentally selected. The Bayesian regularized MLPNN (BR-MLPNN) 3-5-1 network showed that the Z-factors of natural gas have a maximum relative error of −0.44%, and the new CDM method revealed calorific values with a maximum relative error of 1.90%. In addition, three local tests revealed that the maximum relative error of the daily cumulative amount of natural gas energy was 2.39%.
Control Method of Cold and Hot Shock Test of Sensors in Medium
Authors: Tian Jinming , Zeng Yue , Ji Linhai , Zhu Huimin , Guo Zu
Published: July 2023

In order to meet the latest requirements for sensor quality test in the industry, the sample sensor needs to be placed in the medium for the cold and hot shock test. However, the existing environmental test chamber cannot effectively control the temperature of the sample in the medium. This paper designs a control method based on the support vector machine (SVM) classification algorithm and K-means clustering combined with neural network correction. When testing sensors in a medium, the clustering SVM classification algorithm is used to distribute the control voltage corresponding to temperature conditions. At the same time, the neural network is used to constantly correct the temperature to reduce overshoot during the temperature-holding phase. Eventually, overheating or overcooling of the basket space indirectly controls the rapid rise or decrease in the temperature of the sensor in the medium. The test results show that this method can effectively control the temperature of the sensor in the medium to reach the target temperature within 15 min and stabilize when the target temperature is between 145 °C and −40 °C. The steady-state error is less than 0.31 °C in the high-temperature area and less than 0.39 °C in the low-temperature area, which well solves the dilemma of the current cold and hot shock test.
Misinformation and Its Impact on Contested Policy Issues: The Example of Migration Discourses
Authors: Komendantova Nadejda , Erokhin Dmitry , Albano Teresa
Published: July 2023

Misinformation, in the form of false or inaccurate information deliberately created and spread through various channels, including social media, has become pervasive in the context of migration. An analysis of 45,000 English tweets revealed a wide range of attitudes towards migrants, including the presence of misinformation, concerns, and positive and negative attitudes. This study acknowledges the negative effects of misinformation, such as the formation of preconditions that promote false representations of migrants, foster negative attitudes, and consolidate prejudices against them. Misinformation also leads to mistrust among migrants towards official authorities and creates an environment conducive to exploitation by smugglers and traffickers. To address these issues, this study suggests corrective measures, including raising awareness, promoting evidence-based reasoning, and facilitating diverse forms of interpersonal dialogue.
Trust in Social Media: Enhancing Social Relationships
Authors: Hatamleh Islam Habis Mohammad , Safori Amjad Omar , Habes Mohammed , Tahat Othman , Ahmad Amer Khaled , Abdallah Rania Abdel-Qader , Aissani Rahima
Published: July 2023

This study aims to explore the moderating effect of trust on the relationship between social media engagement, relationship benefits, and social relationships, utilizing an innovative framework grounded in social exchange theory. Employing a quantitative analysis with structural equation modeling (SEM), using a questionnaire distributed to a sample of 493 Jordanian youth, the results unveil a positive correlation between social media engagement and social relationships, with trust emerging as a crucial moderator in this dynamic. Trust positively moderates the connection between social media engagement and social relationships. This research sheds light on the pivotal role of trust in shaping social relationships on social media platforms. However, the interaction between trust and relationship benefits does not significantly impact social relationships. By expanding on existing knowledge, this study offers a fresh perspective on the interplay between trust, social media engagement, relationship benefits, and social relationships, emphasizing the potential of understanding trust to foster stronger social connections in the digital age. The results suggest that the positive influence of social media engagement on social relationships possibly will be determined by the level of trust present inside online communities.
Effects of Polystyrene Microparticles on Growth and Physiological Metabolism of Microalgae Scendesmus obliquus
Authors: Wang Weimu , Liu Haolin , Liu Hui , Chen Jiaxin , Xu Xiaohui , Xia Jihong , Zhang Peng
Published: July 2023

Plastic products are widely used due to their lightness, durability, low cost, and malleability, and their threat to the environment is becoming increasingly apparent. However, the detailed mechanism of such an effect is unclear. Due to improper treatment, microplastic contamination is very much studied in the areas around sewage outfalls or some plastic manufacturers, and its content is high. To investigate the ecological impact of microplastics in this particular area, we evaluated the toxic effect of polystyrene microplastics (PS-MPs) on the microalgae Scenedesmus obliquus (S. obliquus). In particular, the cell growth, photosynthesis, antioxidant enzyme activity, membrane permeability, and morphology of the microalgae in the presence of different PS-MP concentrations were monitored. These new data revealed an increase in microalgae cell growth as an early response to low-dose PS-MP exposure with a maximum inhabitation rate of −3.33%. In contrast, a higher concentration of PS-MP solution leads to a significant inhibition within the test concentration, with a maximum inhabitation rate of 43.62%. Meanwhile, a decreased photosynthesis activity of S. obliquus was observed during the exposure. Moreover, PS-MPs induced oxidative damage to the algae cells, exhibiting decreased antioxidant activities and enhanced lipid peroxidation reactions, as evidenced by the reduction in the superoxide dismutase (SOD) level and increased malondialdehyde (MDA) content, as well as damaged cell membrane and soluble protein. Collectively, our study systematically investigates the toxicity of microplastics on microalgae, providing a deep insight into the possible influences of plastic pollution on the whole food web in the aquatic ecosystem.
Predicting Carbon Storage Jointly by Foliage and Soil Parameters in Pinus pumila Stands along an Elevation Gradient in Great Khingan
Authors: Zhao Rongjian , Li Jinxia , Liu Shuhua , Zhang Jun , Duan Yadong
Published: July 2023

Alpine dwarf pine populations are dwelling in a climate-sensitive habitat, where detection of the carbon (C) cycle is still valued for sustainability. Foliar and soil parameters are key factors that combine to jointly affect aboveground C storage in alpine ecosystems, but how they generate combined contributions to aboveground C in alp dwellers still needs more research. In this study, Pinus pumila, a typical alp dwarf pine species in a canyon of the Great Khingan Mountain, was focused on. Their natural populations were investigated for individual growth and needle and soil parameters in plots across six categorized elevations from 800 m to 1200 m. Aboveground C storage was estimated by three allometric models which were all found to increase against increases in elevation. Along the increasing elevational gradient, needle concentrations of nitrogen (N) and phosphorus (P) both showed decreasing trends, but activities of N and P assimilation enzymes and chlorophyl contents, as well as the soil contents of ammonium N and organic matter, all showed increasing trends. Multiple linear regression models indicated that elevation (parameter estimate, PE: +0.01), needle P (PE: +0.66) and chlorophyl contents (PE: +0.60) made jointly positive contributions to estimated C storage while soil pH had a negative contribution (PE: −1.80). For the purpose of sustainable C fixation by alp P. pumila populations, strategies should be considered to increase P availability and control high soil pH. Our results fill the gap about C storage and driving forces in alpine ecosystems, and their applications are not limited to being referenced by other alpine plants.
Quantitative Model Study of the Psychological Recovery Benefit of Landscape Environment Based on Eye Movement Tracking Technology
Authors: Fei Xinhui , Zhang Yanqin , Kong Deyi , Huang Qitang , Wang Minhua , Dong Jianwen
Published: July 2023

From the perspective of landscape and human health, we use the Self-Rating Restoration Scale (SRRS) as a tool to explore the mental health restoration benefits brought by a landscape environment to individuals and explore the characteristics of individual movement behavior when viewing the landscape through the eye movement tracking technology. We selected average blink duration, average gaze length, average saccade amplitude, blink number, number of fixation points, saccade number, and average pupil diameter as experimental indicators for data monitoring. Based on the eye movement heat map obtained by data visualization processing and the results of correlation analysis, we summarized the eye movement behavior characteristics of individuals when viewing the restorative landscape. We try to construct a quantitative evaluation model of the landscape mental recovery benefit with the objective eye movement index as the independent variable through the method of curve estimation. The study results show that individual eye movement behavior is related to the landscape type and the level of psychological recovery is also different. (1)The more singular that the constituent elements are, the more widespread and concentrated the regional distribution of individual attention areas, and the relative psychological recovery benefit is relatively weak. The more complex that the constituent elements are, the more scattered and smaller the individual interest area, and the psychological recovery benefit is better. Brightly colored, dynamic landscapes are easier to form areas of interest to improve the psychological response to the human body. (2) The psychological recovery benefit of the landscape is directly proportional to the changing trend of the average blink duration, number of fixation points, and number of saccades and is inversely proportional to the changing trend of the average gaze length. (3) The objective eye movement index of average blink duration can quantitatively predict the psychological recovery benefit value of the landscape environment. The number of fixation points, the number of saccades, and the average fixation length could predict the psychological recovery benefits of the landscape, while the other indicators had no prediction effect.
Exploring Trade-Offs between Potential Economic, Social and Environmental Outcomes of Urban Agriculture in Adelaide, Australia and the Kathmandu Valley, Nepal
Authors: Kafle Arun , Hopeward James , Myers Baden
Published: July 2023

Urban Agriculture (UA) is widely presented as a feature of sustainable cities, with various claims around economic, social, and/or environmental benefits. However, the extent to which these different benefits may reinforce or compete with one another is not clear. This paper presents an integrated modelling framework using proxy measures for economic benefit (the net margin, NM), social benefit (the full-time farmer employment equivalent (FTE) per consumer) and environmental benefit (reduction in carbon dioxide emissions, CO2). The model is applied in two divergent development scenarios, including Adelaide, Australia, and the Kathmandu Valley, Nepal, to study the characteristic features of UA in different settings. Two-stage optimisation is used to explore trade-offs and synergies when pursuing different objectives (NM, FTE and CO2). The model seeks the optimal farming area and selects from three levels of mechanisation (non-mechanised, garden tiller and garden cultivator), two purposes (gardening and commercial), two crop value categories (mixed and mid- to high-value vegetables) and two market mechanisms (wholesale vs. retail). The results of the optimisation provide insights into the key features of a UA system depending on the objective(s) being pursued, which we believe is a novel approach to justify UA research. For instance, the model favours a commercial UA form (in which both land and labour are costed) with a larger area when pursuing an economic objective, whereas it favours a gardening form of UA when aiming to maximise participation in the food system, with the preferred area depending on the extent to which either the economic or environmental objective is also being pursued. In Adelaide, the model favours commercial UA for the best-case profit and carbon emissions, and gardening for FTE maximisation. In the Kathmandu Valley, the model chooses the gardening UA within the given model assumptions.
UV Disinfection Systems for Wastewater Treatment: Emphasis on Reactivation of Microorganisms
Authors: González Yenifer , Gómez Gloria , Moeller-Chávez Gabriela E. , Vidal Gladys
Published: July 2023

UV disinfection is cost-effective and easy to maintain for decentralized areas. However, to ensure its effectiveness, some parameters need to be considered. In this study, a general search of Web of Science articles was performed to determine the possible influence of these parameters on the reactivation of microorganisms in UV systems; in addition, different search strings were used focusing exclusively on wastewater treatment, UV systems and Advanced Oxidation Processes (AOPs). It was found that in order to maintain low transmittance, it is essential to remove suspended solids and reduce water hardness. It is recommended to control the zeta potential in the range of 0–5 mV to avoid the aggregation of particles and bacteria. Determining the appropriate UV dose is essential to mitigate the reactivation of microorganisms. A minimum dose of 40 mJ/cm2 can contribute to effective disinfection and reduce the likelihood of reactivation. In addition, maintaining a residual chlorine level of at least 0.5 mg/L provides an additional barrier to reactivation. It is also important to optimize the design flow rate of the UV system as recommended for each individual unit. These measures, together with the combination of UV disinfection and chemical or AOPS, can effectively reduce the reactivation.
Effects of Grazing Exclusion on Microbial Community Diversity and Soil Metabolism in Desert Grasslands
Authors: Geng Meiju , Wang Xinhui , Liu Xiaoying , Lv Pei
Published: July 2023

In this study, the effect of 14 years of GE exclusion in a desert grassland on soil microbial community diversity and metabolites was examined. GE changed the bacterial community structure, the alpha diversity of the bacterial community, and the total phosphorus (TP) and total potassium (TK) content in the soil. More specifically, the relative abundance of Actinobacteria, Proteobacteria, and Chloroflexi increased with GE. In contrast, the relative abundance of Acidobacteria was higher during grazing (G), so it is believed that soil bacteria adapt to environmental changes. Both amino acid and carbohydrate metabolism were enhanced, while lipid metabolism was decreased under GE. It was concluded that GE could trigger changes in both bacterial diversity and soil metabolites, increase the energy supply, and regulate ecosystem function. Consequently, GE would have positive effects on the restoration of desert grasslands by altering the soil microbial community. This work provides new insights into the response of soil microbes to GE.