bluuebunny/crossref_metadata_2025 huggingface dataset:
Rotenoids and Isoflavones from Xeroderris stuhlmannii (Taub.) Mendonça & E.P. Souza and Their Biological Activities
Authors: Mekuete Livie Blondèle Kenou , Tsopgni Willifred Dongmo Tékapi , Nkojap Augustine Kuinze , Kojom Jacquy Joyce Wanche , Stark Timo D. , Fouokeng Yannick , Dongmo Alain Bertrand , Azeufack Léon Tapondjou , Azebaze Anatole Guy Blaise
Published: March 2023

The phytochemical study of the ethanolic extract of the leaf of Xeroderris stuhlmannii led to the isolation of five hitherto unreported compounds including two isoflavones (1–2), and three rotenoids (3–5), along with eight known isoflavonoid derivatives (6–13) and one pterocarpan derivative (14). The structures of the new compounds and those of the known ones were established by the spectroscopic (1D and 2D NMR) and spectrometric (HRESIMS) techniques as well as a comparison of their spectroscopic data with those reported in the literature. The leaf extract, fractions, and isolated compounds were tested for their antibacterial effects against nine bacterial strains. Compounds 3, 8, 11, and 12 showed a significant antibacterial effect, with a minimum inhibitory concentration (MIC) value of 62.5 µg/mL each, against Salmonella typhi, Staphylococcus aureus, Klessiella pneumonae, and Escherichia coli, respectively. In addition, the leaf extract, fractions, and isolated compounds were tested for their antifungal effects against four fungal strains. The hexane fraction showed a significant antifungal effect with an MIC value of 125 µg/mL against Candida parasilosis, whereas compounds 3, 8, and 12 showed significant antifungal activity with an MIC value of 62.5 µg/mL, each against Candida parasilosis, Candida albicans, and Candida krusei, respectively.
MD Simulation Reveals Regulation of Mechanical Force and Extracellular Domain 2 on Binding of DNAM-1 to CD155
Authors: Fang Liping , Zhao Yang , Guo Pei , Fang Ying , Wu Jianhua
Published: March 2023

Two extracellular domains of the adhesive receptor DNAM-1 are involved in various cellular biological processes through binding to ligand CD155, usually under a mechano-microenvironment. The first extracellular domain (D1) plays a key role in recognition, but the function of the second extracellular domain (D2) and effects of force on the interaction of DNAM-1 with CD155 remain unclear. We herein studied the interaction of DNAM-1 with CD155 by performing steered molecular dynamics (MD) simulations, and observed the roles of tensile force and D2 on the affinity of DNAM-1 to CD155. The results showed that D2 improved DNAM-1 affinity to CD155; the DNAM-1/CD155 complex had a high mechanical strength and a better mechanical stability for its conformational conservation either at pulling with constant velocity or under constant tensile force (≤100 pN); the catch–slip bond transition governed CD155 dissociation from DNAM-1; and, together with the newly assigned key residues in the binding site, force-induced conformation changes should be responsible for the mechanical regulation of DNAM-1′s affinity to CD155. This work provided a novel insight in understanding the mechanical regulation mechanism and D2 function in the interaction of DNAM-1 with CD155, as well as their molecular basis, relevant transmembrane signaling, and cellular immune responses under a mechano-microenvironment.
Alginate–Gelatin Self-Healing Hydrogel Produced via Static–Dynamic Crosslinking
Authors: Cadamuro Francesca , Ardenti Valeria , Nicotra Francesco , Russo Laura
Published: March 2023

Alginate–gelatin hydrogels mimicking extracellular matrix (ECM) of soft tissues have been generated by static–dynamic double crosslinking, allowing fine control over the physical and chemical properties. Dynamic crosslinking provides self-healing and injectability attributes to the hydrogel and promotes cell migration and proliferation, while the static network improves stability. The static crosslinking was performed by enzymatic coupling of the tyrosine residues of gelatin with tyramine residues inserted in the alginate backbone, catalyzed by horseradish peroxidase (HRP). The dynamic crosslinking was obtained by functionalizing alginate with 3-aminophenylboronic acid which generates a reversible bond with the vicinal hydroxyl groups of the alginate chains. Varying the ratio of alginate and gelatin, hydrogels with different properties were obtained, and the most suitable for 3D soft tissue model development with a 2.5:1 alginate:gelatin molar ratio was selected. The selected hydrogel was characterized with a swelling test, rheology test, self-healing test and by cytotoxicity, and the formulation resulted in transparent, reproducible, varying biomaterial batch, with a fast gelation time and cell biocompatibility. It is able to modulate the loss of the inner structure stability for a longer time with respect to the formulation made with only covalent enzymatic crosslinking, and shows self-healing properties.
Density Functional Theory Study of CO2 Hydrogenation on Transition-Metal-Doped Cu(211) Surfaces
Authors: Wang Yushan , Yu Mengting , Zhang Xinyi , Gao Yujie , Liu Jia , Zhang Ximing , Gong Chunxiao , Cao Xiaoyong , Ju Zhaoyang , Peng Yongwu
Published: March 2023

The massive emission of CO2 has caused a series of environmental problems, including global warming, which exacerbates natural disasters and human health. Cu-based catalysts have shown great activity in the reduction of CO2, but the mechanism of CO2 activation remains ambiguous. In this work, we performed density functional theory (DFT) calculations to investigate the hydrogenation of CO2 on Cu(211)-Rh, Cu(211)-Ni, Cu(211)-Co, and Cu(211)-Ru surfaces. The doping of Rh, Ni, Co, and Ru was found to enhance CO2 hydrogenation to produce COOH. For CO2 hydrogenation to produce HCOO, Ru plays a positive role in promoting CO dissociation, while Rh, Ni, and Co increase the barriers. These results indicate that Ru is the most effective additive for CO2 reduction in Cu-based catalysts. In addition, the doping of Rh, Ni, Co, and Ru alters the electronic properties of Cu, and the activity of Cu-based catalysts was subsequently affected according to differential charge analysis. The analysis of Bader charge shows good predictions for CO2 reduction over Cu-based catalysts. This study provides some fundamental aids for the rational design of efficient and stable CO2-reducing agents to mitigate CO2 emission.
Effectiveness of a School-Based Culinary Programme on 9- and 10-Year-Old Children’s Food Literacy and Vegetable, Fruit, and Breakfast Consumption
Authors: Labbé Charlotte , Ward Chiasson Stephanie , Dupuis Jérémie B. , Johnson Claire
Published: March 2023

School-based culinary courses may increase children’s food literacy and improve their eating behaviours. This study assessed the impact of a school-based culinary programme on 9- and 10-year-old students’ food literacy and vegetable, fruit, and breakfast consumption. This cluster quasi-experimental trial compared 88 grade 4 and 5 students who participated in the Apprenti en Action programme to 82 students who did not. Students’ food literacy and eating behaviours were assessed with a self-administered questionnaire. The programme’s impact on vegetable and fruit consumption, cooking skills, food skills, and food knowledge was measured using MANOVA, and the odds of eating breakfast at least five times per week were assessed with logistic regression. Students who participated in the programme reported a greater increase in their cooking skills (p = 0.013) and food knowledge (p = 0.028) than students in the control group. No effect was found on food skills and vegetables, fruit, and breakfast consumption (p-values > 0.05). Boys improved their cooking skills (p = 0.025) and food knowledge (p = 0.022), but girls did not. The programme improved students’ cooking skills and food knowledge, especially among boys; however, modifications are needed to improve students’ food skills and eating behaviours.
Nutritional Status and the Outcomes of Endoscopic Stenting in Benign and Malignant Diseases of Esophagus
Authors: Dudzic Wojciech , Płatkowski Cezary , Folwarski Marcin , Meyer-Szary Jarosław , Kaźmierczak-Siedlecka Karolina , Ekman Marcin , Wojciechowicz Tomasz , Dobosz Marek
Published: March 2023

Background. Endoscopic stenting (ES) is a widely known method for palliative dysphagia treatment in esophageal strictures. Esophageal cancer is often associated with advanced malnutrition, which may increase the risk of complications of the procedure. The aim of this study was to evaluate complication rates and the impact of nutritional status on the outcomes of ES. Patients and Methods. A single-center retrospective study was conducted at Copernicus Hospital in Gdańsk, Poland. Adult patients who underwent endoscopic stenting between February 2014 and December 2018 were included. The influence of patient characteristics (age, sex, indications for esophageal stenting, and location of stenosis) and nutritional status (BMI, NRS 2002, GLIM, and dysphagia score) on complication rates and survival were analyzed. Results. Eighty-one patients (69% men) were enrolled in the study. In 69%, the indication for ES was malignancy (mainly esophageal cancer). The median dysphagia score significantly decreased from 2.8 to 0.6 after the procedure (p < 0.001). Complications were observed in 27% (n = 22) of the patients. Early complications were bleeding (2.5%), stent unexpansion (2.5%), and stent migration during the procedure (3.7%). There were no early fatal complications of the procedure. Late complications included: stent migration (6.2%), tissue overgrowth (6.2%), food impaction (2.2%), fistula formation (3.7%), bleeding (3.7%), and stent malposition (1.2%). A total of 76% of the participants scored ≥ 3 points in nutritional screening (NRS2002) and 70% were diagnosed with severe malnutrition (GLIM -stage 2). A stent diameter of < 2.2 cm compared with ≥ 2.2 was associated with a higher rate of migrations (15.5% vs. 2.5%). The median survival time in the malignant group was 90 days. Histopathological diagnosis and patients’ nutritional status (BMI, NRS 2002, GLIM, and dysphagia score) had no significant effect on complication rates and survival after esophageal stent insertion. Conclusions. Endoscopic stenting is a relatively safe procedure for the palliative treatment of esophageal strictures. Severe malnutrition, although common, does not affect the outcomes of the procedure.
Indirect Nutrition and Mobility Risks during Hospitalization: An Architectural Perspective on the nutritionDay Study Findings
Authors: Kevdzija Maja , Laviano Alessandro , Worf Isabella , Schuh Christian , Tarantino Silvia , Hiesmayr Michael
Published: March 2023

Nutrition and mobility risks include complex and interrelated physiological, medical, and social factors. A growing body of evidence demonstrates that the built environment can affect patients’ well-being and recovery. Nevertheless, the relationship between the built environment, nutrition, and mobility in general hospitals is largely unexplored. This study examines the implications of the nutritionDay study’s results for the architectural design of hospital wards and nutrition environments. This one-day annual cross-sectional study uses online questionnaires in 31 different languages to collect ward-specific and patient-specific variables. The main findings relevant to the design of hospital wards were: (1) 61.5% of patients (n = 48,700) could walk before hospitalization and (2) this number dropped to 56.8% on nutritionDay (p < 0.0001), while the number of bedridden patients increased from 6.5% to 11.5% (p < 0.0001), (3) patients who needed more assistance had a much longer mean LOS than mobile patients, (4) mobility was associated with changes in eating, and (5) 72% of units (n = 2793) offered additional meals or snacks, but only 30% promoted a positive eating environment. The built environment may indirectly affect hospitalized patients’ mobility, independence, and nutritional intake. Possible future study directions are suggested to further investigate this relationship.
Individual, Family, and Social Factors Associated with Gestational Weight Gain in Adolescents: A Scoping Review
Authors: Sámano Reyna , Martínez-Rojano Hugo , Ortiz-Hernández Luis , Nájera-Medina Oralia , Chico-Barba Gabriela , Gamboa Ricardo , Mendoza-Flores María Eugenia
Published: March 2023

About 56% to 84% of pregnant adolescents have inappropriate (insufficient or excessive) gestational weight gain (GWG); however, the factors associated with GWG in this age group have not been systematically identified. This scoping review aimed to synthesize the available scientific evidence on the association of individual, family, and social factors with inappropriate gestational weight gain in pregnant adolescents. To carry out this review, the MEDLINE, Scopus, Web of Science, and Google Scholar databases were searched for articles from recent years. The evidence was organized according to individual, family, and social factors. The analyzed studies included 1571 adolescents from six retrospective cohorts, 568 from three prospective cohorts, 165 from a case–control study, 395 from a cross-sectional study, and 78,001 from two national representative samples in the USA. At the individual level, in approximately half of the studies, the pre-pregnancy body mass index (pBMI) was positively associated with the GWG recommended by the Institute of Medicine of the USA (IOM). The evidence was insufficient for the other factors (maternal age, number of deliveries, and family support) to determine an association. According to the review, we concluded that pBMI was positively associated with the GWG. More quality studies are needed to assess the association between GWG and individual, family, and social factors.
The Effect of Exercise Prescription on the Human Gut Microbiota and Comparison between Clinical and Apparently Healthy Populations: A Systematic Review
Authors: Boytar Alexander N. , Skinner Tina L. , Wallen Ruby E. , Jenkins David G. , Dekker Nitert Marloes
Published: March 2023

This study systematically reviewed all human longitudinal exercise interventions that reported changes in the gut microbiota; frequency, intensity, duration and type of exercise were assessed to determine the influence of these variables on changes to the gut microbiota in both healthy individuals and clinical populations (PROPERO registration: CRD42022309854). Using PRISMA guidelines, trials analysing gut microbiota change with exercise interventions were included independent of trial randomisation, population, trial duration or analysis technique. Studies were excluded when microbiota abundance was not reported or when exercise was combined with other interventions. Twenty-eight trials were included, of which twelve involved healthy populations only and sixteen involved mixed or clinical-only populations. The findings show that participation in exercise of moderate to high-intensity for 30–90 min ≥3 times per week (or between 150–270 min per week) for ≥8 weeks is likely to produce changes in the gut microbiota. Exercise appears to be effective in modifying the gut microbiota in both clinical and healthy populations. A more robust methodology is needed in future studies to improve the certainty of the evidence.
Effects of Early Nutrition Factors on Baseline Neurodevelopment during the First 6 Months of Life: An EEG Study
Authors: Gilbreath Dylan , Hagood Darcy , Alatorre-Cruz Graciela Catalina , Andres Aline , Downs Heather , Larson-Prior Linda J.
Published: March 2023

Throughout infancy, the brain undergoes rapid changes in structure and function that are sensitive to environmental influences, such as diet. Breastfed (BF) infants score higher on cognitive tests throughout infancy and into adolescence than formula fed (FF) infants, and these differences in neurocognitive development are reflected in higher concentrations of white and grey matter as measured by MRI. To further explore the effect diet has on cognitive development, electroencephalography (EEG) is used as a direct measure of neuronal activity and to assess specific frequency bands associated with cognitive processes. Task-free baseline EEGs were collected from infants fed with human milk (BF), dairy-based formula (MF), or soy-based formula (SF) at 2, 3, 4, 5, and 6 months of age to explore differences in frequency bands in both sensor and source space. Significant global differences in sensor space were seen in beta and gamma bands between BF and SF groups at ages 2 and 6 months, and these differences were further observed through volumetric modeling in source space. We conclude that BF infants exhibit earlier brain maturation reflected in greater power spectral density in these frequency bands.
Alcohol Consumption and a Decline in Glomerular Filtration Rate: The Japan Specific Health Checkups Study
Authors: Kimura Yoshiki , Yamamoto Ryohei , Shinzawa Maki , Aoki Katsunori , Tomi Ryohei , Ozaki Shingo , Yoshimura Ryuichi , Shimomura Akihiro , Iwatani Hirotsugu , Isaka Yoshitaka , Iseki Kunitoshi , Tsuruya Kazuhiko , Fujimoto Shouichi , Narita Ichiei , Konta Tsuneo , Kondo Masahide , Kasahara Masato , Shibagaki Yugo , Asahi Koichi , Watanabe Tsuyoshi , Yamagata Kunihiro , Moriyama Toshiki
Published: March 2023

Previous studies have reported conflicting results on the clinical impact of alcohol consumption on the glomerular filtration rate (GFR). This retrospective cohort study aimed to assess the dose-dependent association between alcohol consumption and the slope of the estimated GFR (eGFR) in 304,929 participants aged 40–74 years who underwent annual health checkups in Japan between April 2008 and March 2011. The association between the baseline alcohol consumption and eGFR slope during the median observational period of 1.9 years was assessed using linear mixed-effects models with the random intercept and random slope of time adjusting for clinically relevant factors. In men, rare drinkers and daily drinkers with alcohol consumptions of ≥60 g/day had a significantly larger decline in eGFR than occasional drinkers (difference in multivariable-adjusted eGFR slope with 95% confidence interval (mL/min/1.73 m2/year) of rare, occasional, and daily drinkers with ≤19, 20–39, 40–59, and ≥60 g/day: −0.33 [−0.57, −0.09], 0.00 [reference], −0.06 [−0.39, 0.26], −0.16 [−0.43, 0.12], −0.08 [−0.47, 0.30], and −0.79 [−1.40, −0.17], respectively). In women, only rare drinkers were associated with lower eGFR slopes than occasional drinkers. In conclusion, alcohol consumption was associated with the eGFR slope in an inverse U-shaped fashion in men but not in women.
Medication-Related Outcomes and Health Equity: Evidence for Pharmaceutical Care
Authors: Grimes Tamasine , Marcilly Romaric , Bonnici West Lorna , Cordina Maria
Published: March 2023

Marginalised people experience diminished access to pharmaceutical care and worse medication-related outcomes than the general population. Health equity is a global priority. This article explores the key evidence of health inequity and medication use, structures the causes and contributory factors and suggests opportunities that can be taken to advance the pharmaceutical care agenda so as to achieve health equity. The causes of, and contributors to, this inequity are multi-fold, with patient- and person-related factors being the most commonly reported. Limited evidence is available to identify risk factors related to other aspects of a personal medication use system, such as technology, tasks, tools and the internal and the external environments. Multiple opportunities exist to enhance equity in medication-related outcomes through pharmaceutical care research and practice. To optimise the effects and the sustainable implementation of these opportunities, it is important to (1) ensure the meaningful inclusion and engagement of members of marginalised groups, (2) use a person-centred approach and (3) apply a systems-based approach to address all of the necessary components of a system that interact and form a network as work processes that produce system outcomes.
Characterization of the NAC Transcription Factor in Passion Fruit (Passiflora edulis) and Functional Identification of PeNAC-19 in Cold Stress
Authors: Xu Yi , Li Pengfei , Ma Funing , Huang Dongmei , Xing Wenting , Wu Bin , Sun Peiguang , Xu Binqiang , Song Shun
Published: March 2023

The NAC (NAM, ATAF and CUC) gene family plays an important role in plant development and abiotic stress response. However, up to now, the identification and research of the NAC (PeNAC) family members of passion fruit are still lacking. In this study, 25 PeNACs were identified from the passion fruit genome, and their functions under abiotic stress and at different fruit-ripening stages were analyzed. Furthermore, we analyzed the transcriptome sequencing results of PeNACs under four various abiotic stresses (drought, salt, cold and high temperature) and three different fruit-ripening stages, and verified the expression results of some genes by qRT-PCR. Additionally, tissue-specific analysis showed that most PeNACs were mainly expressed in flowers. In particular, PeNAC-19 was induced by four various abiotic stresses. At present, low temperatures have seriously endangered the development of passion fruit cultivation. Therefore, PeNAC-19 was transformed into tobacco, yeast and Arabidopsis to study their function of resisting low temperature. The results show that PeNAC-19 responded to cold stress significantly in tobacco and Arabidopsis, and could improve the low temperature tolerance of yeast. This study not only improved the understanding of the PeNAC gene family characteristics and evolution, but also provided new insights into the regulation of the PeNAC gene at different stages of fruit maturation and abiotic stresses.
Heat-Stress-Induced Changes in Physio-Biochemical Parameters of Mustard Cultivars and Their Role in Heat Stress Tolerance at the Seedling Stage
Authors: Sakpal Ashwini , Yadav Sangita , Choudhary Ravish , Saini Navinder , Vasudev Sujata , Yadava Devendra K. , Ercişli Sezai , Marc Romina Alina , Yadav Shiv K.
Published: March 2023

In the era of global warming, heat stress, particularly at the seedling stage, is a major problem that affects the production and productivity of crops such as mustard that are grown in cooler climates. Nineteen mustard cultivars were exposed to contrasting temperature regimes—20 °C, 30 °C, 40 °C and a variable range of 25–40 °C—and evaluated for changes in physiological and biochemical parameters at the seedling stage to study their role in heat-stress tolerance. Exposure to heat stress showed detrimental effects on seedling growth as revealed by reduced vigor indices, survival percentages, antioxidant activity and proline content. The cultivars were grouped into tolerant, moderately tolerant and susceptible based on the survival percentage and biochemical parameters. All the conventional and three single-zero cultivars were found to be tolerant and moderately tolerant, respectively, while double-zero cultivars were reckoned to be susceptible except for two cultivars. Significant increases in proline content and catalase and peroxidase activities were found associated with thermo-tolerant cultivars. More efficient antioxidant system activity and proline accumulation were noticed in conventional along with three single-zero (PM-21, PM-22, PM-30) and two double-zero (JC-21, JC-33) cultivars that might have provided better protection to them under heat stress than the remaining one single- and nine double-zero cultivars. Tolerant cultivars also resulted in significantly higher values of most of the yield attributing traits. Heat-stress-tolerant cultivars could easily be selected based on the survival percentage, proline and antioxidants at the seedling stage and included as efficient cultivars in breeding programs.
The Role of the Interface of PLA with Thermoplastic Starch in the Nonisothermal Crystallization Behavior of PLA in PLA/Thermoplastic Starch/SiO2 Composites
Authors: Li Deling , Luo Congcong , Zhou Jun , Dong Liming , Chen Ying , Liu Guangtian , Qiao Shuyun
Published: March 2023

Corn starch was plasticized by glycerol suspension in a twin-screw extruder, in which the glycerol suspension was the pre-dispersion mixture of glycerol with nano-SiO2. Polylactide (PLA)/thermoplastic starch/SiO2 composites were obtained through melt-blending of PLA with thermoplastic starch/SiO2 in a twin-screw extruder. The nonisothermal crystallization behavior of PLA in the composites was investigated by differential scanning calorimetry. An interface of PLA with thermoplastic starch was proven to exist in the composites, and its interfacial bonding characteristics were analyzed. The interfacial binding energy stemming from PLA with thermoplastic starch exerts a significant influence on the segmental mobility of PLA at the interface. The segmental mobility of PLA is gradually improved by increasing interfacial binding energy, and consequently, the relative crystallinity on the interface exhibits progressive promotion. The Jeziorny model could well describe the primary crystallization of PLA in the composites. The extracted Avrami exponents based on the Jeziorny model indicate that the primary crystallization of PLA follows heterogeneous nucleation and three-dimensional growth. This study has revealed the intrinsic effect of the interfacial segmental mobility on the nonisothermal crystallization behavior of PLA in composites, which is of technological significance for its blow molding.
A Comparison of UAV-Derived Dense Point Clouds Using LiDAR and NIR Photogrammetry in an Australian Eucalypt Forest
Authors: Winsen Megan , Hamilton Grant
Published: March 2023

Light detection and ranging (LiDAR) has been a tool of choice for 3D dense point cloud reconstructions of forest canopy over the past two decades, but advances in computer vision techniques, such as structure from motion (SfM) photogrammetry, have transformed 2D digital aerial imagery into a powerful, inexpensive and highly available alternative. Canopy modelling is complex and affected by a wide range of inputs. While studies have found dense point cloud reconstructions to be accurate, there is no standard approach to comparing outputs or assessing accuracy. Modelling is particularly challenging in native eucalypt forests, where the canopy displays abrupt vertical changes and highly varied relief. This study first investigated whether a remotely sensed LiDAR dense point cloud reconstruction of a native eucalypt forest completely reproduced canopy cover and accurately predicted tree heights. A further comparison was made with a photogrammetric reconstruction based solely on near-infrared (NIR) imagery to gain some insight into the contribution of the NIR spectral band to the 3D SfM reconstruction of native dry eucalypt open forest. The reconstructions did not produce comparable canopy height models and neither reconstruction completely reproduced canopy cover nor accurately predicted tree heights. Nonetheless, the LiDAR product was more representative of the eucalypt canopy than SfM-NIR. The SfM-NIR results were strongly affected by an absence of data in many locations, which was related to low canopy penetration by the passive optical sensor and sub-optimal feature matching in the photogrammetric pre-processing pipeline. To further investigate the contribution of NIR, future studies could combine NIR imagery captured at multiple solar elevations. A variety of photogrammetric pre-processing settings should continue to be explored in an effort to optimise image feature matching.
Overcoming Domain Shift in Neural Networks for Accurate Plant Counting in Aerial Images
Authors: Rodriguez-Vazquez Javier , Fernandez-Cortizas Miguel , Perez-Saura David , Molina Martin , Campoy Pascual
Published: March 2023

This paper presents a novel semi-supervised approach for accurate counting and localization of tropical plants in aerial images that can work in new visual domains in which the available data are not labeled. Our approach uses deep learning and domain adaptation, designed to handle domain shifts between the training and test data, which is a common challenge in this agricultural applications. This method uses a source dataset with annotated plants and a target dataset without annotations and adapts a model trained on the source dataset to the target dataset using unsupervised domain alignment and pseudolabeling. The experimental results show the effectiveness of this approach for plant counting in aerial images of pineapples under significative domain shift, achieving a reduction up to 97% in the counting error (1.42 in absolute count) when compared to the supervised baseline (48.6 in absolute count).
Present-Day Surface Deformation in North-East Italy Using InSAR and GNSS Data
Authors: Areggi Giulia , Pezzo Giuseppe , Merryman Boncori John Peter , Anderlini Letizia , Rossi Giuliana , Serpelloni Enrico , Zuliani David , Bonini Lorenzo
Published: March 2023

Geodetic data can detect and estimate deformation signals and rates due to natural and anthropogenic phenomena. In the present study, we focus on northeastern Italy, an area characterized by ~1.5–3 mm/yr of convergence rates due to the collision of Adria-Eurasia plates and active subsidence along the coasts. To define the rates and trends of tectonic and subsidence signals, we use a Multi-Temporal InSAR (MT-InSAR) approach called the Stanford Method for Persistent Scatterers (StaMPS), which is based on the detection of coherent and temporally stable pixels in a stack of single-master differential interferograms. We use Sentinel-1 SAR images along ascending and descending orbits spanning the 2015–2019 temporal interval as inputs for Persistent Scatterers InSAR (PSI) processing. We apply spatial-temporal filters and post-processing steps to reduce unrealistic results. Finally, we calibrate InSAR measurements using GNSS velocities derived from permanent stations available in the study area. Our results consist of mean ground velocity maps showing the displacement rates along the radar Line-Of-Sight for each satellite track, from which we estimate the east–west and vertical velocity components. Our results provide a detailed and original view of active vertical and horizontal displacement rates over the whole region, allowing the detection of spatial velocity gradients, which are particularly relevant to a better understanding of the seismogenic potential of the area. As regards the subsidence along the coasts, our measurements confirm the correlation between subsidence and the geological setting of the study area, with rates of ~2–4 mm/yr between the Venezia and Marano lagoons, and lower than 1 mm/yr near Grado.
Effects of Cashew Nut Shell Extract on Ruminal Fermentation and Nutrient Digestibility under Continuous Culture
Authors: Compton Chandler , Peña Omar M. , Hikita Chie , Watanabe Tomonori , Jenkins Thomas C. , Lascano Gustavo J. , Aguerre Matias J.
Published: March 2023

The overall objective of this study was to determine the dose response to four levels of cashew nut shell extract in a granulated form (CNSE, containing 59% anacardic acid and 18% cardol) on culture pH, rumen fermentation metabolites, and apparent nutrient digestibility in continuous culture fermenters. The study was conducted as a generalized randomized complete block design with four treatments and four replications per treatment. The four treatments were randomly assigned to eight fermenters for two incubation runs of 10 d. Treatments consisted of (1) Control (CO, no CNSE), (2) Control plus 100 ppm of CNSE, (3) Control plus 200 ppm of CNSE, and (4) Control plus 300 ppm of CNSE. Fermenters were fed 52 g/d (DM basis) of a total mixed ration (TMR; 17.0% crude protein (CP), 29.7% NDF, and 29.9% starch), divided between two feedings at 0800 and 2000 h. The apparent digestibility of dry matter (DM), organic matter (OM), and neutral detergent fiber (NDF) were not affected by CNSE supplementation. Similarly, CNSE had no effect on culture pH, total volatile fatty acids (VFA) or individual VFA molar proportions. These results suggest that at the dosages evaluated in this study, CNSE has no impact on the rumen fermentation profile and the apparent nutrient digestibility under continuous culture conditions.
Review of Chemical Sensors for Hydrogen Sulfide Detection in Organisms and Living Cells
Authors: Yang Mengjie , Zhou Yong , Wang Ke , Luo Chunfeng , Xie Mingna , Shi Xiang , Lin Xiaogang
Published: March 2023

As the third gasotransmitter, hydrogen sulfide (H2S) is involved in a variety of physiological and pathological processes wherein abnormal levels of H2S indicate various diseases. Therefore, an efficient and reliable monitoring of H2S concentration in organisms and living cells is of great significance. Of diverse detection technologies, electrochemical sensors possess the unique advantages of miniaturization, fast detection, and high sensitivity, while the fluorescent and colorimetric ones exhibit exclusive visualization. All these chemical sensors are expected to be leveraged for H2S detection in organisms and living cells, thus offering promising options for wearable devices. In this paper, the chemical sensors used to detect H2S in the last 10 years are reviewed based on the different properties (metal affinity, reducibility, and nucleophilicity) of H2S, simultaneously summarizing the detection materials, methods, linear range, detection limits, selectivity, etc. Meanwhile, the existing problems of such sensors and possible solutions are put forward. This review indicates that these types of chemical sensors competently serve as specific, accurate, highly selective, and sensitive sensor platforms for H2S detection in organisms and living cells.
Optoelectronic Pressure Sensor Based on the Bending Loss of Plastic Optical Fibers Embedded in Stretchable Polydimethylsiloxane
Authors: Alonso Romero Alberto , Amouzou Koffi Novignon , Sengupta Dipankar , Zimmermann Camila Aparecida , Richard-Denis Andréane , Mac-Thiong Jean-Marc , Petit Yvan , Lina Jean-Marc , Ung Bora
Published: March 2023

We report the design and testing of a sensor pad based on optical and flexible materials for the development of pressure monitoring devices. This project aims to create a flexible and low-cost pressure sensor based on a two-dimensional grid of plastic optical fibers embedded in a pad of flexible and stretchable polydimethylsiloxane (PDMS). The opposite ends of each fiber are connected to an LED and a photodiode, respectively, to excite and measure light intensity changes due to the local bending of the pressure points on the PDMS pad. Tests were performed in order to study the sensitivity and repeatability of the designed flexible pressure sensor.
Plastic Classification Using Optical Parameter Features Measured with the TMF8801 Direct Time-of-Flight Depth Sensor
Authors: Becker Cienna N. , Koerner Lucas J.
Published: March 2023

We demonstrate a methodology for non-contact classification of five different plastic types using an inexpensive direct time-of-flight (ToF) sensor, the AMS TMF8801, designed for consumer electronics. The direct ToF sensor measures the time for a brief pulse of light to return from the material with the intensity change and spatial and temporal spread of the returned light conveying information on the optical properties of the material. We use measured ToF histogram data of all five plastics, captured at a range of sensor to material distances, to train a classifier that achieves 96% accuracy on a test dataset. To extend the generality and provide insight into the classification process, we fit the ToF histogram data to a physics-based model that differentiates between surface scattering and subsurface scattering. Three optical parameters of the ratio of direct to subsurface intensity, the object distance, and the time constant of the subsurface exponential decay are used as features for a classifier that achieves 88% accuracy. Additional measurements at a fixed distance of 22.5 cm showed perfect classification and revealed that Poisson noise is not the most significant source of variation when measurements are taken over a range of object distances. In total, this work proposes optical parameters for material classification that are robust over object distance and measurable by miniature direct time-of-flight sensors designed for installation in smartphones.
Static Loads Influence on Modal Properties of the Composite Cylindrical Shells with Integrated Sensor Network
Authors: Mironov Aleksey , Kovalovs Andrejs , Chate Andris , Safonovs Aleksejs
Published: March 2023

This paper presents the results of experimental and numerical studies of the dynamic parameters of composite cylindrical shells loaded under axial tension. Five composite structures were manufactured and loaded up to 4817 N. The static load test was carried out by hanging the load to the lower part of a cylinder. The natural frequencies and mode shapes were measured during testing using a network of 48 piezoelectric sensors that measure the strains of composite shells. The primary modal estimates were calculated with ARTeMIS Modal 7 software using test data. The methods of modal passport, including modal enhancement, were used to improve the accuracy of the primary estimates and reduce the influence of random factors. To estimate the effect of a static load on the modal properties of a composite structure, a numerical calculation and a comparative analysis of experimental and numerical data was carried out. The results of the numerical study confirmed that natural frequency increases with increasing tensile load. The data obtained from experimental results were not fully consistent with the results of numerical analysis, but showed a consistent pattern, repeating for all samples.
Fluorescence Methods for the Detection of Bioaerosols in Their Civil and Military Applications
Authors: Kwaśny Mirosław , Bombalska Aneta , Kaliszewski Miron , Włodarski Maksymilian , Kopczyński Krzysztof
Published: March 2023

The article presents the history of the development and the current state of the apparatus for the detection of interferents and biological warfare simulants in the air with the laser-induced fluorescence (LIF) method. The LIF method is the most sensitive spectroscopic method and also enables the measurement of single particles of biological aerosols and their concentration in the air. The overview covers both the on-site measuring instruments and remote methods. The spectral characteristics of the biological agents, steady-state spectra, excitation–emission matrices, and their fluorescence lifetimes are presented. In addition to the literature, we also present our own detection systems for military applications.
Stiffness Considerations for a MEMS-Based Weighing Cell
Authors: Wedrich Karin , Cherkasova Valeriya , Platl Vivien , Fröhlich Thomas , Strehle Steffen
Published: March 2023

In this paper, a miniaturized weighing cell that is based on a micro-electro-mechanical-system (MEMS) is discussed. The MEMS-based weighing cell is inspired by macroscopic electromagnetic force compensation (EMFC) weighing cells and one of the crucial system parameters, the stiffness, is analyzed. The system stiffness in the direction of motion is first analytically evaluated using a rigid body approach and then also numerically modeled using the finite element method for comparison purposes. First prototypes of MEMS-based weighing cells were successfully microfabricated and the occurring fabrication-based system characteristics were considered in the overall system evaluation. The stiffness of the MEMS-based weighing cells was experimentally determined by using a static approach based on force-displacement measurements. Considering the geometry parameters of the microfabricated weighing cells, the measured stiffness values fit to the calculated stiffness values with a deviation from −6.7 to 3.8% depending on the microsystem under test. Based on our results, we demonstrate that MEMS-based weighing cells can be successfully fabricated with the proposed process and in principle be used for high-precision force measurements in the future. Nevertheless, improved system designs and read-out strategies are still required.
Fast Distributed Model Predictive Control Method for Active Suspension Systems
Authors: Zhang Niaona , Yang Sheng , Wu Guangyi , Ding Haitao , Zhang Zhe , Guo Konghui
Published: March 2023

In order to balance the performance index and computational efficiency of the active suspension control system, this paper offers a fast distributed model predictive control (DMPC) method based on multi-agents for the active suspension system. Firstly, a seven-degrees-of-freedom model of the vehicle is created. This study establishes a reduced-dimension vehicle model based on graph theory in accordance with its network topology and mutual coupling constraints. Then, for engineering applications, a multi-agent-based distributed model predictive control method of an active suspension system is presented. The partial differential equation of rolling optimization is solved by a radical basis function (RBF) neural network. It improves the computational efficiency of the algorithm on the premise of satisfying multi-objective optimization. Finally, the joint simulation of CarSim and Matlab/Simulink shows that the control system can greatly minimize the vertical acceleration, pitch acceleration, and roll acceleration of the vehicle body. In particular, under the steering condition, it can take into account the safety, comfort, and handling stability of the vehicle at the same time.
Multi-Connectivity-Based Adaptive Fractional Packet Duplication in Cellular Networks
Authors: Paropkari Rahul Arun , Beard Cory
Published: March 2023

Mobile networks of the fifth generation have stringent requirements for data throughput, latency and reliability. Dual or multi-connectivity is implemented to meet the mobility requirements for certain essential 5G use cases, and this ensures the user’s connection to one or more radio links. Packet duplication (PD) over multi-connectivity is a method of compensating for lost packets by reducing re-transmissions on the same erroneous wireless channel. Utilizing two or more uncorrelated links, a high degree of availability can be attained with this strategy. However, complete packet duplication is inefficient and frequently unnecessary. The wireless channel conditions can change frequently and not allow for a PD. We provide a novel adaptive fractional packet duplication (A-FPD) mechanism for enabling and disabling packet duplication based on a variety of parameters. The signal-to-interference-plus-noise ratio (SINR) and fade duration outage probability (FDOP) are important performance indicators for wireless networks and are used to evaluate and contrast several packet duplication scenarios. Using ns-3 and MATLAB, we present our simulation results for the multi-connectivity and proposed A-FPD schemes. Our technique merely duplicates enough packets across multiple connections to meet the outage criteria.
Soil as an Environmental Reservoir for Baculoviruses: Persistence, Dispersal and Role in Pest Control
Authors: Williams Trevor
Published: March 2023

Baculoviruses are DNA viruses that can naturally control insects and form the basis for a range of biological insecticides. These viruses are occluded in a crystalline protein matrix, the occlusion body (OB), which favors their persistence in the environment until consumed by a susceptible insect. This review presents evidence that baculoviruses are perfectly adapted to persist in soil. In support of this assertion, detailed evidence is presented concerning the stability of virus OBs in soil, the mechanisms and processes that affect OB transport to soil, OB persistence and movement through the soil layers, and the transport of the virus back to the host’s foodplant for subsequent transmission. The soil reservoir interacts with the host insect, the foodplant and the biotic and abiotic factors in the environment, all of which influence the function of the soil OB reservoir. Agricultural practices that conserve the soil reservoir can result in improved pest control. The soil is also an overlooked source of genetic diversity for the design of baculovirus-based insecticides. Finally, the principal issues that remain to be elucidated are highlighted, particularly with reference to those that affect the soil–baculovirus relationship and the impact of the soil OB reservoir on insect populations.
Quantifying the Unvoiced Carbon Pools of the Nilgiri Hill Region in the Western Ghats Global Biodiversity Hotspot—First Report
Authors: Jagadesh M. , Srinivasarao Cherukumalli , Selvi Duraisamy , Thiyageshwari Subramanium , Kalaiselvi Thangavel , Kumari Aradhna , Singh Santhosh Kumar , Lourdusamy Keisar , Kumaraperumal Ramalingam , Allan Victor , Dash Munmun , Raja P. , Surendran U. , Pramanick Biswajit
Published: March 2023

Accelerating land-use change (LUC) in the Nilgiri Hill Region (NHR) has caused its land to mortify. Although this deterioration has been documented, the destruction of buried gem soil has not been reported. Therefore, this study was conducted to assess the impact of LUC on soil-carbon dynamics in the six major ecosystems in the NHR: croplands (CLs), deciduous forests (DFs), evergreen forests (EFs), forest plantations (FPs), scrublands (SLs), and tea plantations (TPs). Sampling was conducted at selected sites of each ecosystem at three depth classes (0–15, 15–30, and 30–45 cm) to quantify the carbon pools (water-soluble carbon, water-soluble carbohydrates, microbial biomass carbon, microbial biomass nitrogen, dehydrogenase, and different fractions of particulate organic carbon). We found that the LUC significantly decreased the concentration of carbon in the altered ecosystems (49.44–78.38%), with the highest being recorded at EF (10.25%) and DF (7.15%). In addition, the effects of the LUC on the aggregate size of the organic carbon were dissimilar across all the aggregate sizes. The relatively high inputs of the aboveground plant residues and the richer fine-root biomass were accountable for the higher concentration of carbon pools in the untouched EFs and DFs compared to the SLs, FPs, TPs, and CLs. The results of the land-degradation Index (LDI) depicted the higher vulnerability of TP (−72.67) and CL (−79.00). Thus, our findings highlight the global importance of LUC to soil quality. Henceforth, the conservation of carbon pools in fragile ecosystems, such as the NHR, is crucial to keep soils alive and achieve land-degradation neutrality.
Relationship between Functions, Drivers, Barriers, and Strategies of Building Information Modelling (BIM) and Sustainable Construction Criteria: Indonesia Construction Industry
Authors: Murti Cakraningrat Kencana , Muslim Fadhilah
Published: March 2023

With increasing sustainability concerns, such as the construction sector being responsible for using 42% of the world’s energy, 30% of its raw materials, and 25% of its fresh water, building projects have been encouraged to adopt green and sustainable construction strategies. Innovation in science and technology plays an important role to support the transition to sustainable development. Its ability to rely on advanced technology and effective construction processes makes Building Information Modelling (BIM) an opportunity that can bring great benefits to the sustainable construction sector. This research focuses on functions, barriers, drivers, and implementation strategies, which were analyzed for their relationship with sustainable construction criteria using structural equation modelling (SEM). It was found that the BIM function has a positive influence on sustainable construction with relevant indicators in the form of building digitization, improvement from 2D CAD methods, and integration between tools. Relevant barriers consist of lack of demand from clients and implementation that feels like additional work. Relevant drivers consist of increasing work productivity and reducing work errors. Meanwhile, relevant strategies consist of conducting further research, providing commitment, and setting up infrastructure for the application of BIM into sustainable construction.