bluuebunny/crossref_metadata_2025 huggingface dataset:
U-Pb Geochronology, Geochemistry and Geological Significance of the Yongfeng Composite Granitic Pluton in Southern Jiangxi Province
Authors: Zhao Yunbiao , Huang Fan , Wang Denghong , Wei Na , Zhao Chenhui , Liu Ze
Published: November 2023

The Yongfeng composite granitic pluton, located in the southern section of the Nanling area, is composed of the Yongfeng and Longshi biotite monzonitic granites. In order to reveal the genesis of this composite granitic pluton and its relationship with mineralization, this study conducted zircon U-Pb dating, whole-rock major and trace element analysis, and biotite electron probe analysis. The results show that the Yongfeng composite granitic pluton is rich in silicon and alkali, weakly peraluminous, and poor in calcium and iron. It shows the enrichment of light rare earth elements and a significant fractionation of light and heavy rare earth elements. It also shows the enrichment of large ion lithophile elements and depletion of Ba, K, P, Eu, and Ti relative to the primitive mantle. The contents of TFe2O3, MgO, CaO, TiO2, and P2O5 are low and decrease with increasing SiO2 content. The Yongfeng composite granitic pluton does not contain alkaline dark minerals. Its average zircon saturation temperature is 776 °C, average TFe2O3/MgO is 4.81, and average Zr + Nb + Ce + Y is 280.6 ppm, which correspond to a highly fractionated I-type granite. The Yongfeng and Longshi granites were respectively formed at 152.0 ± 1.0 Ma–151.3 ± 1.1 Ma and 148.9 ± 1.2 Ma. They were formed in the extensional tectonic setting during the post-orogenic stage, under the control of the breakup or retreat of the backplate after the subduction of the Pacific Plate into the Nanling hinterland. The magmatic system of the Yongfeng composite granitic pluton is characterized by high fractionation, high content of F, high temperature, and low oxygen fugacity, which is conducive to mineralization of Sn, Mo, and fluorite.
The Use of DEM for Optimising an Industrial Vezin Sampler Operation
Authors: Magalhães Marcus Félix , Chieregati Ana Carolina , Ilic Dusan , de Carvalho Isabella Targino Borges , Lemos Mariana Gazire , da Mata Filho José Gregório , Delboni Homero
Published: November 2023

Rotary dividers, also known as “vezin samplers”, are widely used in the mining industry to obtain representative samples of particulate streams, and they are used as primary, secondary, or tertiary samplers. Based on Pierre Gy’s theory of sampling (TOS), the correct extraction of an increment when composing a sample must give all particles the same chance of being selected. Aiming to comply with the theory of sampling, sampler construction parameters must be considered to avoid increment delimitation and extraction errors (IDE and IEE). In this way, a detailed study of the ore physical properties is necessary before designing sampling systems, which are customised for each application and ore type. Based on ore characterisation studies and combined with Discrete Element Method (DEM) simulations, it is possible to evaluate samplers’ dimensions as proposed by the theory of sampling and determine the best design and operational parameters. The present study investigated and optimised the performance of a secondary vezin sampler installed in the feed sampling system of a gold plant in Brazil using DEM.
A New Strategy of Chemical Photo Grafting Metal Organic Framework to Construct NH2-UiO-66/BiOBr/PVDF Photocatalytic Membrane for Synergistic Separation and Self-Cleaning Dyes
Authors: Peng Lin , Shu Yong , Jiang Luming , Liu Weidong , Zhao Guixiang , Zhang Rui
Published: November 2023

Photocatalytic membranes are typical multifunctional membranes that have emerged in recent years. The lack of active functional groups on the surface of membranes made of inert materials such as polyvinylidene fluoride(PVDF) makes it difficult to have a stable binding interaction with photocatalysts directly. Therefore, in this study, we developed a simple method to prepare NH2-UiO-66/BiOBr/PVDF(MUB) membranes for efficient dye treatment by grafting benzophenolic acid-functionalized NH2-UiO-66 onto the surface of membranes with photocatalytic properties under visible light irradiation using benzophenolic acid with photoinitiating ability as an anchor. The structural characteristics, photocatalytic properties, antifouling properties, and reusability of the composite membranes were investigated in subsequent experiments using a series of experiments and characterizations. The results showed that the benzophenone acid grafting method was stable and the nanoparticles were not easily dislodged. The MUB composite membrane achieved a higher dye degradation efficiency (99.2%) than the pristine PVDF membrane at 62.9% within a reaction time of 180 min. In addition, the composite membranes exhibited higher permeate fluxes for both pure and mixed dyes and also demonstrated outstanding water flux recovery (>96%) after the light self-cleaning cycle operation. This combination proved to improve the performance of the membranes instead of reducing them, increasing their durability and reusability, and helping to broaden the application areas of membrane filtration technology.
Resistive Switching in Bigraphene/Diamane Nanostructures Formed on a La3Ga5SiO14 Substrate Using Electron Beam Irradiation
Authors: Emelin Evgeny V. , Cho Hak Dong , Korepanov Vitaly I. , Varlamova Liubov A. , Klimchuk Darya O. , Erohin Sergey V. , Larionov Konstantin V. , Kim Deuk Young , Sorokin Pavel B. , Panin Gennady N.
Published: November 2023

Memristors, resistive switching memory devices, play a crucial role in the energy-efficient implementation of artificial intelligence. This study investigates resistive switching behavior in a lateral 2D composite structure composed of bilayer graphene and 2D diamond (diamane) nanostructures formed using electron beam irradiation. The resulting bigraphene/diamane structure exhibits nonlinear charge carrier transport behavior and a significant increase in resistance. It is shown that the resistive switching of the nanostructure is well controlled using bias voltage. The impact of an electrical field on the bonding of diamane-stabilizing functional groups is investigated. By subjecting the lateral bigraphene/diamane/bigraphene nanostructure to a sufficiently strong electric field, the migration of hydrogen ions and/or oxygen-related groups located on one or both sides of the nanostructure can occur. This process leads to the disruption of sp3 carbon bonds, restoring the high conductivity of bigraphene.
Carnosine Did Not Affect Vascular and Metabolic Outcomes in Patients with Prediabetes and Type 2 Diabetes: A 14-Week Randomized Controlled Trial
Authors: Saadati Saeede , Cameron James , Menon Kirthi , Hodge Alexander , Lu Zhong X. , de Courten Maximilian , Feehan Jack , de Courten Barbora
Published: November 2023

Atherosclerotic cardiovascular disease (ASCVD) is the leading cause of morbidity and mortality in patients with prediabetes and type 2 diabetes mellitus (T2DM). Carnosine has been suggested as a potential approach to reduce ASCVD risk factors. However, there is a paucity of human data. Hence, we performed a 14-week double-blind randomized placebo-controlled trial to determine whether carnosine compared with placebo improves vascular and metabolic outcomes in individuals with prediabetes and T2DM. In total, 49 patients with prediabetes and T2DM with good glycemic control were randomly assigned either to receive 2 g/day carnosine or matching placebo. We evaluated endothelial dysfunction, arterial stiffness, lipid parameters, blood pressure, heart rate, hepatic and renal outcomes before and after the intervention. Carnosine supplementation had no effect on heart rate, peripheral and central blood pressure, endothelial function (logarithm of reactive hyperemia (LnRHI)), arterial stiffness (carotid femoral pulse wave velocity (CF PWV)), lipid parameters, liver fibroscan indicators, liver transient elastography, liver function tests, and renal outcomes compared to placebo. In conclusion, carnosine supplementation did not improve cardiovascular and cardiometabolic risk factors in adults with prediabetes and T2DM with good glycemic control. Therefore, it is improbable that carnosine supplementation would be a viable approach to mitigating the ASCVD risk in these populations. The trial was registered at clinicaltrials.gov (NCT02917928).
Polypeptide-Based Systems: From Synthesis to Application in Drug Delivery
Authors: Stepanova Mariia , Nikiforov Alexey , Tennikova Tatiana , Korzhikova-Vlakh Evgenia
Published: November 2023

Synthetic polypeptides are biocompatible and biodegradable macromolecules whose composition and architecture can vary over a wide range. Their unique ability to form secondary structures, as well as different pathways of modification and biofunctionalization due to the diversity of amino acids, provide variation in the physicochemical and biological properties of polypeptide-containing materials. In this review article, we summarize the advances in the synthesis of polypeptides and their copolymers and the application of these systems for drug delivery in the form of (nano)particles or hydrogels. The issues, such as the diversity of polypeptide-containing (nano)particle types, the methods for their preparation and drug loading, as well as the influence of physicochemical characteristics on stability, degradability, cellular uptake, cytotoxicity, hemolysis, and immunogenicity of polypeptide-containing nanoparticles and their drug formulations, are comprehensively discussed. Finally, recent advances in the development of certain drug nanoformulations for peptides, proteins, gene delivery, cancer therapy, and antimicrobial and anti-inflammatory systems are summarized.
Influence of Dose, Particle Size and Concentration on Dermal Penetration Efficacy of Curcumin
Authors: Chaiprateep Em-on , Wiemann Sabrina , Eckert Ralph W. , Raab Christian , Sengupta Soma , Keck Cornelia M.
Published: November 2023

The influence of size, particle concentration and applied dose (finite vs. infinite dose) on the dermal penetration efficacy of curcumin was investigated in this study. For this, curcumin suspensions with different particle sizes (approx. 20 µm and approx. 250 nm) were produced in different concentrations (0.625–5% (w/w)). The dermal penetration efficacy was determined semi-quantitatively on the ex vivo porcine ear model. The results demonstrated that the presence of particles increases the dermal penetration efficacy of the active compounds being dissolved in the water phase of the formulation. The reason for this is the formation of an aqueous meniscus that develops between particles and skin due to the partial evaporation of water from the vehicle after topical application. The aqueous meniscus contains dissolved active ingredients, and therefore creates a small local spot with a locally high concentration gradient that leads to improved dermal penetration. The increase in penetration efficacy depends on the number of particles in the vehicle, i.e., higher numbers of particles and longer contact times lead to higher penetration efficacy. Therefore, nanocrystals with a high particle concentration were found to be the most suitable formulation principle for efficient and deep dermal penetration of poorly water-soluble active ingredients.
Optimization and Characterization of Phenolic Extraction Conditions and Antioxidant Activity Evaluation of Adenanthera pavonina L. Bark
Authors: Begum Syeda Nurunnesa , Hossain Mobarok , Adnan Md. , Rahaman Chowdhury Habibur , Reza Arif
Published: November 2023

The presence of high levels of secondary metabolites in medicinal plants can significantly influence the progress of drug development. Here, we aimed to maximize phenolic extraction from Adenanthera pavonina L. stem bark using various solvents such as ethyl acetate, methanol, petroleum ether, and chloroform. A response surface method (RSM) with a central composite design (CCD) statistical technique was applied to optimize the extraction process, employing three important extracting parameters such as extraction time (h), temperature (°C), and solvent composition (% v/v of methanol/water) to obtain the highest phenolic content. Total phenolic content (TPC) and antioxidant activity (IC50 of extract’s DPPH radical scavenging activity) were used as response variables to find the influence of these extracting parameters. Among the various solvents used, methanol extract showed the highest contents of phenolics and the maximum level of antioxidant activity with a lower IC50 value. The notable TPC and IC50 value of the extract’s DPPH radical scavenging capacity were found to be 181.69 ± 0.20 mg GAE/g dry tissue and 60.13 ± 0.11 mg/mL, respectively, under the optimal conditions with a solvent composition of 71.61% (v/v) of methanol/water, extraction temperature of 42.52 °C, and extraction time of 24 h. The optimized extract of A. pavonina stem bark was further subjected to HPLC analysis, where six phenolic compounds, including coumarin, p-coumaric acid, chlorogenic acid, sinapic acid, gallic acid, and caffeic acid, were identified along with their respective quantities. Overall, the findings of this study uncover a low-cost analytical model for maximizing phenolic extraction from A. pavonina bark with enhanced antioxidant activity.
Effects of Chloride and Sulfate Salts on Seed Germination and Seedling Growth of Ballota hirsuta Benth. and Myrtus communis L.
Authors: Dadach Mohammed , Ahmed Muhammad Zaheer , Bhatt Arvind , Radicetti Emanuele , Mancinelli Roberto
Published: November 2023

Soil salinity is a well-known abiotic factor affecting the germination and seedling growth of various plant species. Therefore, we evaluated the effects of different chloride salts (NaCl, KCl and MgCl2) and sulfate salts (Na2SO4, K2SO4 and MgSO4) on the seed germination and early seedling growth of two important ethnomedicinal shrubs of North Africa and the Mediterranean basin (Ballota hirsuta and Myrtus communis). Seeds of these species were subjected to five salinity levels (0–100 mM) and incubated at 20 °C under a light regime (12 h photoperiod). Both species demonstrated their highest germination percentage under control conditions (i.e., without salinity). However, as salinity levels increased, the germination percentages for both species decreased, regardless of the type of salt used. Cations appeared to be more determinative than the anions in regulating the seed germination of both species. M. communis seeds displayed greater sensitivity to sodium (Na+) salts, especially when accompanied with chloride (Cl−) anions. At the higher salt concentrations (75 and 100 mM), Na+ salts had a more pronounced inhibitory effect on M. communis seedling growth compared to potassium (K+) and magnesium (Mg2+) salts. Conversely, Mg2+ salts were more detrimental to seedling growth in B. hirsuta. Based on our results, it can be concluded that both of these species are able to tolerate a moderate level of salinity. Overall, B. hirsuta may be a promising choice for rehabilitating the soils dominated by chloride salts, while M. communis could be utilized for restoring sulfate-dominated soils.
Examination of Raw Samples and Ethanol Extracts of Gerês Propolis Collected in Different Years
Authors: Caetano Ana Rita , Oliveira Rafaela Dias , Pereira Rui Filipe Cerqueira , Cardoso Tiago Vidal , Cardoso Andreia , Almeida-Aguiar Cristina
Published: November 2023

Propolis, a natural resin created by bees, has garnered significant attention from both the scientific community and industry due to an impressive range of bioactivities. Nonetheless, the intrinsic variability in its chemical composition and bioactive profiles has been hindering propolis’ full potential use. We previously showed that ethanol extracts (EEs) of a Portuguese propolis sample (Gerês) collected over four consecutive years displayed similar chemical and biological profiles, a constancy never documented before. However, the characteristics of the unprocessed samples of Gerês propolis were never described. Hence, the central objective of this study is to assess the quality parameters of unprocessed propolis samples collected from Gerês (G), over a four-year period (2019–2022), alongside the analysis of the chemical composition and bioactivities of the EEs prepared with the same raw samples. The ash, wax, balsam and water contents of the unprocessed samples—G19 to G22—showed minor fluctuations, likely attributed to uncontrollable natural events impacting the propolis source and collection process. On the other hand, the antimicrobial and antioxidant activities of all the four ethanol extracts (G19.EE–G22.EE) consistently align with prior studies. Furthermore, the Gerês propolis extracts showed remarkable uniformity in chemical composition parameters too, particularly concerning total polyphenol, flavonoid and ortho-diphenol contents. In summary, our research reinforces the beneficial properties of propolis and show that extracts’ bioactivities remain within the reference ranges for Gerês propolis, despite minor differences in unprocessed samples, suggesting a consistent action over time. Thus, this work could be instrumental towards the establishment of standard parameters for propolis applications, offering valuable insights to this field of propolis research.
Physiological Properties of Perennial Rice Regenerating Cultivation in Two Years with Four Harvests
Authors: Guo Chunlin , Lin Weiwei , Gao Wujie , Lan Chaojie , Xu Hailong , Zou Jingnan , Fallah Nyumah , Wang Wenfei , Lin Wenfang , Chen Ting , Lin Wenxiong
Published: November 2023

Crop perennialization has garnered global attention recently due to its role in sustainable agriculture. However, there is still a lack of detailed information regarding perennial rice’s regenerative characteristics and physiological mechanisms in crop ratooning systems with different rice stubble heights. In addition, the response of phytohormones to varying stubble heights and how this response influences the regenerative characteristics of ratoon rice remains poorly documented. Here, we explored the regenerative characteristics and physiological mechanisms of an annual hybrid rice, AR2640, and a perennial rice, PR25, subjected to different stubble heights (5, 10, and 15 cm). The response of phytohormones to varying stubble heights and how this response influences the regenerative characteristics of ratoon rice were also investigated. The results show that PR25 overwintered successfully and produced the highest yield, especially in the second ratoon season, mainly due to its extended growth duration, higher number of mother stems, tillers at the basal nodes, higher number of effective panicles, and heavier grain weight when subjected to lower stubble heights. Further analysis revealed that PR25 exhibited a higher regeneration rate from the lower-position nodes in the stem with lower stubble heights. this was primarily due to the higher contents of phytohormones, especially auxin (IAA) and gibberellin (GA3) at an early stage and abscisic acid (ABA) at a later stage after harvesting of the main crop. Our findings reveal how ratoon rice enhances performance based on different stubble heights, which provides valuable insights and serves as crucial references for delving deeper into cultivating high-yielding perennial rice.
Synthesis and Properties of Cefixime Core–Shell Magnetic Nano-Molecularly Imprinted Materials
Authors: Zhang Li , Mo Hongbo , Wang Chuan , Li Xiaofeng , Jiang Shuai , Fan Weigang , Zhang Yagang
Published: November 2023

Novel core–shell magnetic molecularly imprinted polymers (MMIPs) were synthesized using the sol–gel method for the adsorption of cefixime (CFX). Fe3O4@SiO2 is the core, and molecularly imprinted polymers (MIPs) are the shell, which can selectively interact with CFX. The preparation conditions, adsorption kinetics, adsorption isotherms, selective adsorption ability, and reutilization performance of the MMIPs were investigated. The adsorption capacity of MMIPs for CFX was 111.38 mg/g, which was about 3.5 times that of MNIPs. The adsorption equilibrium time was 180 min. The dynamic adsorption experiments showed that the adsorption process of MMIPs to CFX conformed to the pseudo-second-order model. Through static adsorption study, the Scatchard analysis showed that MMIPs had two types of binding sites—the high-affinity binding sites and the low-affinity binding sites—while the Langmuir model fit the adsorption isotherms well (R2 = 0.9962). Cefepime and ceftiofur were selected as the structural analogs of CFX for selective adsorption studies; the adsorption of CFX by MMIPs was higher than that of other structural analogs; and the imprinting factors of CFX, cefepime, and ceftiofur were 3.5, 1.7, and 1.4, respectively. Furthermore, the MMIPs also showed excellent reusable performance.
Oἱ Ἰουδαῖοι (The Jews) in John’s Gospel: An African Reading
Authors: Kamanzi Michel Segatagara
Published: November 2023

This article is dedicated to the loving memory of Bénézet Bujo and Laurenti Magesa, two giants of African Theology. The portrait of the Jews in John’s Gospel has been the object of a great debate among Western scholars. The negative portrait of many of the Jews of the fourth canonical gospel has led some to qualify John’s Gospel as the most “anti-Jewish” writing of the New Testament. Recent Western history, in particular the Shoah, has certainly had a heavy weight on this negative interpretation of John’s Gospel. But another perspective, here African Biblical Hermeneutics, may give a different understanding of this disputed theme. Following this non-Western approach, we want to show that maybe it is not John’s Gospel’s characterization of the Jews which is problematic, but the hermeneutics used to interpret it. In the end, what is at stake, is not the Jews or Jewish people as such, but how one, Jew or non-Jew, responds to Jesus’ message and gift of abundant life.
Using Remote and Proximal Sensing Data and Vine Vigor Parameters for Non-Destructive and Rapid Prediction of Grape Quality
Authors: Lyu Hongyi , Grafton Miles , Ramilan Thiagarajah , Irwin Matthew , Wei Hsiang-En , Sandoval Eduardo
Published: November 2023

The traditional method for determining wine grape total soluble solid (TSS) is destructive laboratory analysis, which is time consuming and expensive. In this study, we explore the potential of using different predictor variables from various advanced techniques to predict the grape TSS in a non-destructive and rapid way. Calculating Pearson’s correlation coefficient between the vegetation indices (VIs) obtained from UAV multispectral imagery and grape TSS resulted in a strong correlation between OSAVI and grape TSS with a coefficient of 0.64. Additionally, seven machine learning models including ridge regression and lasso regression, k-Nearest neighbor (KNN), support vector regression (SVR), random forest regression (RFR), extreme gradient boosting (XGBoost), and artificial neural network (ANN) are used to build the prediction models. The predictor variables include the unmanned aerial vehicles (UAV) derived VIs, and other ancillary variables including normalized difference vegetation index (NDVI_proximal) and soil electrical conductivity (ECa) measured by proximal sensors, elevation, slope, trunk circumference, and day of the year for each sampling date. When using 23 VIs and other ancillary variables as input variables, the results show that ensemble learning models (RFR, and XGBoost) outperform other regression models when predicting grape TSS, with the average of root mean square error (RMSE) of 1.19 and 1.2 °Brix, and coefficient of determination (R2) of 0.52 and 0.52, respectively, during the 20 times testing process. In addition, this study examines the prediction performance of using optimized soil adjusted vegetation index (OSAVI) or normalized green-blue difference index (NGBDI) as the main input for different machine learning models with other ancillary variables. When using OSAVI-based models, the best prediction model is RFR with an average R2 of 0.51 and RMSE of 1.19 °Brix, respectively. For NGBDI-based model, the RFR model showed the best average result of predicting TSS were a R2 of 0.54 and a RMSE of 1.16 °Brix, respectively. The approach proposed in this study provides an opportunity to grape growers to estimate the whole vineyard grape TSS in a non-destructive way.
Utility of Leaf Area Index for Monitoring Phenology of Russian Forests
Authors: Shabanov Nikolay V. , Egorov Vyacheslav A. , Miklashevich Tatiana S. , Stytsenko Ekaterina A. , Bartalev Sergey A.
Published: November 2023

Retrievals of land surface phenology metrics depend on the choice of base variables selected to quantify the seasonal “greenness” profile of vegetation. Commonly used variables are vegetation indices, which curry signal not only from vegetation but also from the background of sparse foliage, they saturate over the dense foliage and are also affected by sensor bandwidth, calibration, and illumination/view geometry, thus introducing bias in the estimation of phenometrics. In this study we have intercompared the utility of LAI and other biophysical variables (FPAR) and radiometric parameters (NDVI and EVI2) for phenometrics retrievals. This study was implemented based on MODIS products at a resolution of 230 m over the entire extent of Russian forests. Free from artifacts of radiometric parameters, LAI exhibits a better utilization of its dynamic range during the course of seasonal variations and better sensitivity to the actual foliage “greenness” changes and its dependence on forest species. LAI-based retrievals feature a more conservative estimate of the duration of the growing season, including late spring (9.3 days) and earlier fall (8.9 days), compared to those retrieved using EVI2. In this study, we have tabulated typical values of the key phenometrics of 12 species in Russian forests. We have also demonstrated the presence of the latitudinal dependence of phenometrics over the extent of Russian forests.
Snow Cover Reconstruction in the Brunswick Peninsula, Patagonia, Derived from a Combination of the Spectral Fusion, Mixture Analysis, and Temporal Interpolation of MODIS Data
Authors: Aguirre Francisco , Bozkurt Deniz , Sauter Tobias , Carrasco Jorge , Schneider Christoph , Jaña Ricardo , Casassa Gino
Published: November 2023

Several methods based on satellite data products are available to estimate snow cover properties, each one with its pros and cons. This work proposes and implements a novel methodology that integrates three main processes applied to MODIS satellite data for snow cover property reconstruction: (1) the increase in the spatial resolution of MODIS (MOD09) data to 250 m using a spectral fusion technique; (2) a new proposal of snow-cloud discrimination; (3) the daily spatio-temporal reconstruction of snow extent and its albedo signature using the endmembers extraction and spectral mixture analyses. The snow cover reconstruction method was applied to the Brunswick Peninsula, Chilean Patagonia, a low-elevation (<1500 m a.s.l.) mid-latitude area. The results show a 98% agreement between MODIS snow detection and ground-based snow measurements at the automatic weather station, Tres Morros (53.3174°S, 71.2790°W), with fractional snow cover values between 20% and 50%, showing a close relationship between snow and vegetation type. The number of snow days compiled from the MODIS data indicates a good performance (Pearson’s correlation of 0.9) compared with the number of skiing days at the Cerro Mirador ski center, Punta Arenas. Although the number of seasonal snow days showed a significant increasing trend of 0.54 days/year in the Brunswick Peninsula during the 2000–2020 period, a significant decrease of −4.64 days/year was detected in 2010–2020.
Evaluation of MAX-DOAS Profile Retrievals under Different Vertical Resolutions of Aerosol and NO2 Profiles and Elevation Angles
Authors: Tian Xin , Chen Mingsheng , Xie Pinhua , Xu Jin , Li Ang , Ren Bo , Zhang Tianshu , Fan Guangqiang , Wang Zijie , Zheng Jiangyi , Liu Wenqing
Published: November 2023

In the Multi-Axis Differential Absorption Spectroscopy (MAX-DOAS) trace gas and aerosol profile inversion algorithm, the vertical resolution and the observation information obtained through a series of continuous observations with multiple elevation angles (EAs) can affect the accuracy of an aerosol profile, thus further affecting the results of the gas profile. Therefore, this study examined the effect of the vertical resolution of an aerosol profile and EAs on the NO2 profile retrieval by combining simulations and measurements. Aerosol profiles were retrieved from MAX-DOAS observations and co-observed using light detection and ranging (Lidar). Three aerosol profile shapes (Boltzmann, Gaussian, and exponential) with vertical resolutions of 100 and 200 m were used in the atmospheric radiative transfer model. Firstly, the effect of the vertical resolution of the input aerosol profile on the retrieved aerosol profile with a resolution of 200 m was studied. The retrieved aerosol profiles from the two vertical resolution aerosol profiles as input were similar. The aerosol profile retrieved from a 100 m resolution profile as input was slightly overestimated compared to the input value, whereas that from a 200 m resolution input was slightly underestimated. The relative deviation of the aerosol profile retrieved from the 100 m resolution as input was higher than that of the 200 m. MAX-DOAS observations in Hefei city on 4 September 2020 were selected to verify the simulation results. The aerosol profiles retrieved from the oxygen collision complex (O4) differential slant column density derived from MAX-DOAS observations and Lidar simulation were compared with the input Lidar aerosol profiles. The correlation between the retrieved and input aerosol profiles was high, with a correlation coefficient R > 0.99. The aerosol profiles retrieved from the Lidar profile at 100 and 200 m resolutions as input closely matched the Lidar aerosol profiles, consistent with the simulation result. However, aerosol profiles retrieved from MAX-DOAS measurements differed from the Lidar profiles due to the influence of the averaging kernel matrix smoothing, the different location and viewing geometry, and uncertainties associated with the Lidar profiles. Next, NO2 profiles of different vertical resolutions were used as input profiles to retrieve the NO2 profiles under a single aerosol profile scenario. The effect of the vertical resolution on the retrieval of NO2 profiles was found to be less significant compared to aerosol retrievals. Using the Lidar aerosol profile as the a priori aerosol information had little effect on NO2 profile retrieval. Additionally, the retrieved aerosol profiles and aerosol optical depths varied under different EAs. Ten EAs (i.e., 1, 2, 3, 4, 5, 6, 8, 15, 30, and 90°) were found to obtain more information from observations.
Rainfall Erosivity in Peru: A New Gridded Dataset Based on GPM-IMERG and Comprehensive Assessment (2000–2020)
Authors: Gutierrez Leonardo , Huerta Adrian , Sabino Evelin , Bourrel Luc , Frappart Frédéric , Lavado-Casimiro Waldo
Published: November 2023

In soil erosion estimation models, the variables with the greatest impact are rainfall erosivity (RE), which is the measurement of precipitation energy and its potential capacity to cause erosion, and erosivity density (ED), which relates RE to precipitation. The RE requires high temporal resolution records for its estimation. However, due to the limited observed information and the increasing availability of rainfall estimates based on remote sensing, recent research has shown the usefulness of using observed-corrected satellite data for RE estimation. This study evaluates the performance of a new gridded dataset of RE and ED in Peru (PISCO_reed) by merging data from the IMERG v06 product, through a new calibration approach with hourly records of automatic weather stations, during the period of 2000–2020. By using this method, a correlation of 0.94 was found between PISCO_reed and RE obtained by the observed data. An average annual RE for Peru of 7840 MJ · mm · ha−1· h−1 was estimated with a general increase towards the lowland Amazon regions, and high values were found on the North Pacific Coast area of Peru. The spatial identification of the most at risk areas of erosion was evaluated through a relationship between the ED and rainfall. Both erosivity datasets will allow us to expand our fundamental understanding and quantify soil erosion with greater precision.
Use of Sentinel-3 OLCI Images and Machine Learning to Assess the Ecological Quality of Italian Coastal Waters
Authors: Lapucci Chiara , Antonini Andrea , Böhm Emanuele , Organelli Emanuele , Massi Luca , Ortolani Alberto , Brandini Carlo , Maselli Fabio
Published: November 2023

Understanding and monitoring the ecological quality of coastal waters is crucial for preserving marine ecosystems. Eutrophication is one of the major problems affecting the ecological state of coastal marine waters. For this reason, the control of the trophic conditions of aquatic ecosystems is needed for the evaluation of their ecological quality. This study leverages space-based Sentinel-3 Ocean and Land Color Instrument imagery (OLCI) to assess the ecological quality of Mediterranean coastal waters using the Trophic Index (TRIX) key indicator. In particular, we explore the feasibility of coupling remote sensing and machine learning techniques to estimate the TRIX levels in the Ligurian, Tyrrhenian, and Ionian coastal regions of Italy. Our research reveals distinct geographical patterns in TRIX values across the study area, with some regions exhibiting eutrophic conditions near estuaries and others showing oligotrophic characteristics. We employ the Random Forest Regression algorithm, optimizing calibration parameters to predict TRIX levels. Feature importance analysis highlights the significance of latitude, longitude, and specific spectral bands in TRIX prediction. A final statistical assessment validates our model’s performance, demonstrating a moderate level of error (MAE of 0.51) and explanatory power (R2 of 0.37). These results highlight the potential of Sentinel-3 OLCI imagery in assessing ecological quality, contributing to our understanding of coastal water ecology. They also underscore the importance of merging remote sensing and machine learning in environmental monitoring and management. Future research should refine methodologies and expand datasets to enhance TRIX monitoring capabilities from space.
Exploring IoT Vulnerabilities in a Comprehensive Remote Cybersecurity Laboratory
Authors: Delgado Ismael , Sancristobal Elio , Martin Sergio , Robles-Gómez Antonio
Published: November 2023

With the rapid proliferation of Internet of things (IoT) devices across various sectors, ensuring robust cybersecurity practices has become paramount. The complexity and diversity of IoT ecosystems pose unique security challenges that traditional educational approaches often fail to address comprehensively. Current curricula may provide theoretical knowledge but typically lack the practical components necessary for students to engage with real-world cybersecurity scenarios. This gap hinders the development of proficient cybersecurity professionals capable of securing complex IoT infrastructures. To bridge this educational divide, a remote online laboratory was developed, allowing students to gain hands-on experience in identifying and mitigating cybersecurity threats in an IoT context. This virtual environment simulates real IoT ecosystems, enabling students to interact with actual devices and protocols while practicing various security techniques. The laboratory is designed to be accessible, scalable, and versatile, offering a range of modules from basic protocol analysis to advanced threat management. The implementation of this remote laboratory demonstrated significant benefits, equipping students with the necessary skills to confront and resolve IoT security issues effectively. Our results show an improvement in practical cybersecurity abilities among students, highlighting the laboratory’s efficacy in enhancing IoT security education.
Cross-View Gait Recognition Method Based on Multi-Teacher Joint Knowledge Distillation
Authors: Li Ruoyu , Yun Lijun , Zhang Mingxuan , Yang Yanchen , Cheng Feiyan
Published: November 2023

Aiming at challenges such as the high complexity of the network model, the large number of parameters, and the slow speed of training and testing in cross-view gait recognition, this paper proposes a solution: Multi-teacher Joint Knowledge Distillation (MJKD). The algorithm employs multiple complex teacher models to train gait images from a single view, extracting inter-class relationships that are then weighted and integrated into the set of inter-class relationships. These relationships guide the training of a lightweight student model, improving its gait feature extraction capability and recognition accuracy. To validate the effectiveness of the proposed Multi-teacher Joint Knowledge Distillation (MJKD), the paper performs experiments on the CASIA_B dataset using the ResNet network as the benchmark. The experimental results show that the student model trained by Multi-teacher Joint Knowledge Distillation (MJKD) achieves 98.24% recognition accuracy while significantly reducing the number of parameters and computational cost.
Depression Severity among a Sample of LGBTQ+ Individuals during the COVID-19 Pandemic
Authors: Griffin Marybec , Jaiswal Jessica , Olsson Tess , Gui Jesse , Stults Christopher B. , Halkitis Perry N.
Published: November 2023

Background: The global pandemic of coronavirus disease 2019 (COVID-19) has led to immense impacts on global community health, the public perception of healthcare, and attitudes surrounding mental health during widespread quarantine. Methods: This analysis examines the rates of depressive symptomology among a sample of LGBTQ+-identifying individuals in the United States (n = 1090). The variables examined included socio-demographic factors, the use of mental health medication, access to mental health medication, and experiences of depression symptomology. Results: The findings indicate that depressive symptoms were less severe for older adults, as they reported higher levels of minimal to moderately severe depressive symptoms. Participants who were not working and those who were using substances were less likely to report depressive symptoms. Participants who were employed full-time reported higher levels of depression compared to those who were unemployed. Conclusions: Understanding the mental health of marginalized populations such as the LGBTQ+ community is critical to providing more nuanced preventative healthcare for unique populations, as members of the LGBTQ+ community are non-monolithic and require more personalized approaches to their healthcare needs.
Cuba: The Last Destination of the Republic of Korea’s Nordpolitik?
Authors: Jung Giwoong
Published: November 2023

This article analyzes the possibility of normalizing diplomatic relations between the Republic of Korea (ROK) and the Republic of Cuba (Cuba). It poses two main questions: Why does the ROK desire to normalize diplomatic relations with Cuba? Can diplomatic normalization be achieved, and if so, what policy measures are necessary to make it happen? To answer these questions, the article explores the ROK’s previous efforts and assesses the current state of bilateral relations between the ROK and Cuba. The strong relationship between the Democratic People’s Republic of Korea (DPRK) and Cuba is pointed out as an essential obstacle, and the article examines what policy actions could be taken to overcome it. Finally, the article draws on previous experiences and cases of Nordpolitik (Northern Policy) to suggest a direction for the ROK’s foreign policy toward normalizing diplomatic relations with Cuba.
Factors Affecting Job-Loss Anxiety: The Influence of Decent Work Policies and Corporate Sustainability in a Case Study of Economic Crises
Authors: Mustafin Askar Nailevich , Tuguskina Galina Nikolaevna , Kravčáková Vozárová Ivana , Kotulič Rastislav
Published: November 2023

This study examined the factors affecting the fear of job loss, which is characteristic of various phases of an economic crisis. We used a representative sample of data from the Russia Longitudinal Monitoring Survey-Higher School of Economics for 2007, 2009, 2013, 2015, 2019, and 2021. It was assumed that the factors that determine the level of layoff anxiety are dynamic. The current economic conditions caused by both the COVID-19 pandemic and the growing prerequisites of a new economic crisis in Russia have promoted increased interest in this area. Method: Binary choice models were estimated using the maximum likelihood method with the calculation of average marginal effects. State ownership in the capital of an organization, a high income, job satisfaction, good qualifications, and a positive assessment of one’s health reduce layoff anxiety. The fear of job loss was found to peak at 45 years of age. The factors associated with job insecurity can be permanent or temporary, depending on the phase of the economic cycle. The conclusions of this study may be of interest to the management of organizations interested in increasing the efficiency of labor and production.
Job Crafting and Work–Life Balance in a Mature Organization
Authors: Kardas Jarosław Stanisław
Published: November 2023

The aim of this research was to identify individualization areas in which employees (generations Y and Z) have the freedom to make changes. The study required an analysis of factors that might affect the balance between professional and personal life, i.e., working time and work organization, autonomy at work, or linking the nature of work with employee interests. As a result, the following topics were examined: areas of individualization, the work that respondents carried out and would like to carry out, and their participation in job crafting and professional development. The study focused on two areas of job crafting: modifying job activities by employees (task crafting) and their mental perception of the work they carried out (cognitive crafting). A substantial literature review was included in the paper; additionally, the research consisted of a survey, questionnaires, discussions, and an analysis of working conditions. Employees’ opinions (n = 300) were analyzed. The three most frequently mentioned individualization areas in which the respondents were allowed to make changes were work organization, working time, and task timeline. A strong link between job crafting and work–life balance was indicated. A positive relationship between the ability to develop job crafting in the work organization and satisfaction areas was also found. Calculations were performed using IBM SPSS. It was found that, in mature organizations, employees were able to identify individualization areas and in some cases were allowed to implement job crafting. Most of them were satisfied with their jobs, which means that they were able to maintain a good work–life balance. This research could be used as a basis for further studies.
Knowledge Advancing Shopping Mall Living Labs and Customer Value Co-Creation, with a Focus on Social Integration
Authors: Van Geenhuizen Marina
Published: November 2023

This paper aims at a broad scan of needs for knowledge advancing living labs and broader customer value co-creation in shopping malls. Special attention is given to the meeting and social integration function and metaverse development. Living labs are understood as a methodology of co-creative and open experimentation that is customer-led in a real-life environment. Emerging metaverse development tends to change opportunities and limitations, about which almost nothing is known. The paper uses a qualitative approach in two steps. The first step explores relevant theory on systems, like retail systems, customer-value co-creation (marketing) and capability and personal traits in behavioural change (individuals), while distinguishing between three living lab stages, namely, anticipation, processes on the way, and ex-post evaluation. A few central themes that are becoming increasingly important are the emerging metaverse, if and how traditional malls can continue serving as physical meeting places, and the possibility they will change course towards new combinations of physical and virtual activity. In the second step, a broad array of knowledge-advancing needs is discussed, and this results in a smaller set of knowledge gaps on the basis of urgency, like interests of new ICT stakeholders in shopping malls, impacts from metaverse on site-specificity, and benefits and barriers of disabled persons. The paper also forwards the need for more attention to the ex-post evaluation of co-creation projects, which calls for standard protocols and AI-supported data systems. The paper closes with contributions, management implications, and ideas about future research.
Technological Innovations for Agricultural Production from an Environmental Perspective: A Review
Authors: Méndez-Zambrano Patricio Vladimir , Tierra Pérez Luis Patricio , Ureta Valdez Rogelio Estalin , Flores Orozco Ángel Patricio
Published: November 2023

Information and communication technology (ICT) in developing countries is a key element for growth and economic development. This work conducted an evaluation regarding the use of ICT to reduce the socioeconomic gaps of rural populations and promote its inclusion in development plans, considering its use to guarantee a sustainable development model. For this, a systematic review of 280 articles was carried out using the Scopus, Latindex, Scielo, Dialnet, Redalyc, and Google Scholar databases during the period from 2018 to 2023, of which 40 articles were selected that address the use of ICTs and the agricultural digitalization for the management of soil, water, and the application of fertilizers and agrochemicals, which guarantee sustainable agricultural development. The results show that there are numerous digital tools available based on artificial intelligence (AI), machine learning (ML), drones, apps, and the Internet of Things, which aid in soil and water management and make use of agrochemicals and water, thus improving efficiency and reducing pollution problems. However, there is a large gap at the international level in acquiring state-of-the-art technological equipment that takes advantage of the potential that exists in terms of new technologies and their efficient use. Much of the research on the use of ICTs in the agricultural field comes from countries with medium or high levels of technological development, especially from Asia, Europe, or North America. As a result, Latin America lags behind in this regard.
Effect of Activator and Mineral Admixtures on the Autogenous Shrinkage of Alkali-Activated Slag/Fly Ash
Authors: Ma Yuwei , Gong Jihao , Ye Guang , Fu Jiyang
Published: November 2023

The high autogenous shrinkage of alkali-activated fly ash/slag (AASF) poses a significant concern for the widespread application of AASF in structural engineering. The present study compares the efficacy of activator and mineral admixtures in mitigating the autogenous shrinkage of AASF, and discusses the underlying mechanism. The results show that the use of activators with a lower silicate modulus and a lower sodium content, as well as incorporating metakaolin (MK) or silica fume, can reduce the autogenous shrinkage of AAMs. These approaches delay the appearance of the second exothermic peak, which corresponds to the later formation of C-A-S-H gels and slower development of capillary pressure. The inclusion of MK not only retards the reaction but also facilitates the formation of N-A-S-H gels, resulting in a coarse pore structure and reduced water consumption. The use of the activator with a lower silicate modulus (reduced from 1.5 to 1.0) leads to a higher internal relative humidity and the reduced pore volume of silt-shaped and ink-bottle pores (2–50 nm) in AASF, thereby reducing the autogenous shrinkage without significant strength reduction.