bluuebunny/crossref_metadata_2025 huggingface dataset:
Microenvironmental pH Modification in Buccal/Sublingual Dosage Forms for Systemic Drug Delivery
Authors: He Shaolong , Mu Huiling
Published: February 2023

Many drug candidates are poorly water-soluble. Microenvironmental pH (pHM) modification in buccal/sublingual dosage forms has attracted increasing interest as a promising pharmaceutical strategy to enhance the oral mucosal absorption of drugs with pH-dependent solubility. Optimizing drug absorption at the oral mucosa using pHM modification is considered to be a compromise between drug solubility and drug lipophilicity (Log D)/permeation. To create a desired pHM around formulations during the dissolution process, a suitable amount of pH modifiers should be added in the formulations, and the appropriate methods of pHM measurement are required. Despite pHM modification having been demonstrated to be effective in enhancing the oral mucosal absorption of drugs, some potential risks, such as oral mucosal irritation and teeth erosion caused by the pH modifiers, should not been neglected during the formulation design process. This review aims to provide a short introduction to the pHM modification concept in buccal/sublingual dosage forms, the properties of saliva related to pHM modification, as well as suitable drug candidates and pH modifiers for pHM modifying buccal/sublingual formulations. Additionally, the methods of pHM measurement, pHM modification methods and the corresponding challenges are summarized in the present review.
A Phylogenetic and Morphological Evolution Study of Ribes L. in China Using RAD-Seq
Authors: Zhang Baoshan , Yu Ziyang , Xu Zhichao , Zheng Baojiang
Published: February 2023

Ribes L. belongs to the Grossulariaceae family and has important edible, medicinal, ornamental, and landscaping values. Taxonomic classification within this genus is difficult due to its large variety of species, wide distribution, large morphological variations, and presence of two complex taxonomic groups with bisexual or unisexual flowers. Our study aims to clarify the phylogenetic relationships of Ribes L. taxa in China, and further, to provide a reference for a revised global classification of it. The phylogenetic analysis of 52 Ribes L. samples from 30 species was constructed based on restriction site-associated DNA sequencing and single nucleotide polymorphisms. Afterward, two important taxonomic characters were selected for ancestral state reconstruction over the molecular phylogeny. The results showed that the 52 samples could be divided into six branches, i.e., six subgenera, which caused some controversy regarding the morphological classification of Ribes L. in China. The molecular phylogeny supported the separation of subg. Coreosma from subg. Ribesia and subg. Hemibotrya from subg. Berisia and validated the rationale for recognizing subg. Grossularia as an independent subgenus, the rationality of which was further verified by the reconstruction of ancestor traits. Gene flow among Ribes L. was identified and further confirmed our results.
Protective Effects of Sodium Nitroprusside on Photosynthetic Performance of Sorghum bicolor L. under Salt Stress
Authors: Stefanov Martin A. , Rashkov Georgi D. , Yotsova Ekaterina K. , Borisova Preslava B. , Dobrikova Anelia G. , Apostolova Emilia L.
Published: February 2023

In this study, the impacts of the foliar application of different sodium nitroprusside (SNP, as a donor of nitric oxide) concentrations (0–300 µM) on two sorghum varieties (Sorghum bicolor L. Albanus and Sorghum bicolor L. Shamal) under salt stress (150 mM NaCl) were investigated. The data revealed that salinity leads to an increase in oxidative stress markers and damage of the membrane integrity, accompanied by a decrease in the chlorophyll content, the open photosystem II (PSII) centers, and the performance indexes (PI ABS and PI total), as well as having an influence on the electron flux reducing photosystem I (PSI) end acceptors (REo/RC). Spraying with SNP alleviated the NaCl toxicity on the photosynthetic functions; the protection was concentration-dependent, and greater in Shamal than in Albanus, i.e., variety specific. Furthermore, the experimental results revealed that the degree of SNP protection under salt stress also depends on the endogenous nitric oxide (NO) amount in leaves, the number of active reaction centers per PSII antenna chlorophylls, the enhanced electron flux reducing end acceptors at the acceptor side of PSI, as well as the stimulation of the cyclic electron transport around PSI. The results showed better protection in both varieties of sorghum for SNP concentrations up to 150 µM, which corresponds to about a 50% increase in the endogenous NO leaf content in comparison to the control plants. Our study provides valuable insight into the molecular mechanisms underlying SNP-induced salt tolerance in sorghum varieties and might be a practical approach to correcting salt intolerance.
Antioxidant, Antibacterial, and Anticancer Activity of Ultrasonic Nanoemulsion of Cinnamomum Cassia L. Essential Oil
Authors: Alam Aftab , Ansari Mohammad Javed , Alqarni Mohammed H. , Salkini Mohammad Ayman , Raish Mohammad
Published: February 2023

Cinnamomum cassia (C. assia) has long been used in traditional holistic medicine for its medicinal properties. It is used as an antioxidant, antibacterial, anti-inflammatory and anticancer agent. Cinnamon, in particular, the essential oil of C. cassia, has significant biological properties. Despite this, the volatility, stability, and insolubility of C. cassia essential oil (CEO) remain the main disadvantages that limit its application, ultimately affecting its pharmacological efficacy. To find a solution to this problem, we developed the CEO nanoemulsion (CEO-NE). For lipophilic compounds, insoluble nanoemulsion-based formulations are a popular delivery strategy. In this research work, a highly stable dosage form named CEO-NE was successfully developed using polysorbate 80 and water. The findings show that the synthesized CEO has a uniform shape with a PDI of 0.380 and an adequate particle size of 221.8 nm. The antioxidant outcomes show excellent results for CEO-NE compared to CEO against DPPH and hydrogen peroxide. The obtained antibacterial activity of CEO-NE was more efficient than that of CEO against Klebsiella pneumonia (MTCC 8911) with 0.025% and 0.05%, respectively. The CEO-NE preparation was tested against an alveolar lung adenocarcinoma cell line (A549) with an IC50 of 50.21 µg/mL for CEO and 18.05 µg/mL for CEO-NE, respectively. These results are encouraging for future translational studies on CEO-NE use in lung cancer therapy due to its excellent antioxidant, antibacterial, and killing kinetic properties.
Thresholds in the Species–Area–Habitat Model: Evidence from the Bryophytes on Continental Islands
Authors: Luo Guangyu , Huang Ruoling , Guo Shuiliang , Li Dandan , Yang Jun , Zhang Feng , Yu Jing
Published: February 2023

Aim: To clarify whether (1) there are thresholds in the species–area–habitat relationship for bryophytes and potential mechanisms, (2) such thresholds vary among different bryophyte groups, and (3) choros is better than area or habitat alone in the prediction of SR. Location: Islands in central and southern Zhejiang, China. Methods: We investigated the species richness (SR) of five bryophyte groups (total bryophytes, total mosses, liverworts, acrocarpous mosses, and pleurocarpous mosses) and habitat types on 66 islands. By using four threshold models, the logarithmic and the power models, we quantified their SR–choros relationships (SKRs), species–area relationships (SARs), and species–habitat relationships (SHRs). We also conducted path analyses to detect the direct effects of area per se and habitat per se on the SR. Results: The AICc values of the SKR models were overall smaller than those of the respective SAR and SHR models. The left-horizontal two-threshold model was best for the SKRs. A phenomenon (the small-choros effect, SCE) in which SR independently varied choros below a given threshold was detected. The SCE thresholds were smaller in mosses than in liverworts and in acrocarpous mosses than in pleurocarpous mosses. No direct and positive effects of habitat per se on the SR were detected below choros thresholds for all five groups. Main conclusions: There were two thresholds and SCEs in the SKRs of all five bryophyte groups. The SCEs likely resulted from the elimination of the direct and positive effects of habitat diversity on the SR of the bryophytes on small choros islands. The SCE thresholds were high for species groups sensitive to environments. Choros was better than area or habitat alone in determining the SR of the bryophytes on continental islands.
Nitrogen Preference of Dominant Species during Hailuogou Glacier Retreat Succession on the Eastern Tibetan Plateau
Authors: Huang Yulin , Du Liushan , Lei Yanbao , Liang Jiye
Published: February 2023

Plant nitrogen (N) uptake preference is a key factor affecting plant nutrient acquisition, vegetation composition and ecosystem function. However, few studies have investigated the contribution of different N sources to plant N strategies, especially during the process of primary succession of a glacial retreat area. By measuring the natural abundance of N isotopes (δ15N) of dominant plants and soil, we estimated the relative contribution of different N forms (ammonium-NH4+, nitrate-NO3− and soluble organic N-DON) and absorption preferences of nine dominant plants of three stages (12, 40 and 120 years old) of the Hailuogou glacier retreat area. Along with the chronosequence of primary succession, dominant plants preferred to absorb NO3− in the early (73.5%) and middle (46.5%) stages. At the late stage, soil NH4+ contributed more than 60.0%, In addition, the contribution of DON to the total N uptake of plants was nearly 19.4%. Thus, the dominant plants’ preference for NO3− in the first two stages changes to NH4+ in the late stages during primary succession. The contribution of DON to the N source of dominant plants should not be ignored. It suggests that the shift of N uptake preference of dominant plants may reflect the adjustment of their N acquisition strategy, in response to the changes in their physiological traits and soil nutrient conditions. Better knowledge of plant preferences for different N forms could significantly improve our understanding on the potential feedbacks of plant N acquisition strategies to environmental changes, and provide valuable suggestions for the sustainable management of plantations during different successional stages.
Luxury Zinc Supply Prevents the Depression of Grain Nitrogen Concentrations in Rice (Oryza sativa L.) Typically Induced by Elevated CO2
Authors: Nakandalage Niluka , Milham Paul James , Holford Paul , Seneweera Saman
Published: February 2023

Rice (Oryza sativa L.) has inherently low concentrations of nitrogen (N) and zinc (Zn), and those concentrations are falling as the atmospheric concentration of carbon dioxide ([CO2]) increases, threatening the quality of human diets. We investigated the effect of two levels of Zn supply (marginal and luxury), on Zn and N concentrations in whole grain of two indica rice cvv. Differing in Zn-efficiency (IR26 (inefficient) and IR36 (efficient)), grown in sand culture at ambient (400 µL CO2 L−1 (a[CO2])) and elevated (700 µL CO2 L−1 (e[CO2])) CO2 concentrations. For both cvv., luxury Zn-supply increased vegetative growth, and the foliar and grain Zn concentrations; the increases in grain yield were greater at e[CO2]. The e[CO2] decreased grain Zn concentrations ([Zn]), as is consistently observed in other studies. However, unique to our study, luxury Zn-supply maintained grain N concentrations at e[CO2]. Our data also show that enhanced Zn uptake is the basis of the greater Zn-efficiency of IR36. Lastly, luxury Zn-supply and e[CO2] appreciably decreased the time to panicle emergence and, consequently, to maturity in both cvv. Since Zn-supply can be manipulated by both soil and foliar applications, these findings are potentially important for the quality and quantity of the global rice supply. That is, further investigation of our findings is justified. Key message: Luxury zinc supply maintains grain N concentration at 700 µL CO2 L−1.
Improvements for Tissue-Chopping-Based Immunofluorescence Staining Method of Chloroplast Proteins
Authors: Wang Lulu , Chen Yajuan , Niu Di , Tang Mingdong , An Jinjie , Xue Shanshan , Liu Xiaomin , Gao Hongbo
Published: February 2023

Immunofluorescence staining is a very common method for the subcellular localization study of proteins. A tissue-chopping-based immunofluorescence staining method for chloroplast proteins overcomes the restriction of plant cell wall, makes the operation simpler, and uses less experimental materials. Here we provide some improvements for this method. We found that the stained tissues can be directly observed with a confocal microscope without tissue lysis. Samples maintained at a low temperature (0–4 °C) throughout the process can reduce the intensity of chlorophyll autofluorescence and the background signal. A low temperature is also good for the storage of the sample. Fluorescence signal of the stained samples can be kept for several weeks if they are stored at −20 °C. FtsZ is an essential component of the chloroplast division apparatus. We demonstrated this method with the immunofluorescence staining of FtsZ1 in wildtype Arabidopsis and some chloroplast division mutants. We also successfully tested this method by the immunofluorescence staining of FtsZ1 in many other plants, including woody plants. With these procedures, the performance of tissue-chopping-based immunofluorescence staining method are further improved.
Brown Seaweed Extract (BSE) Application Influences Auxin- and ABA-Related Gene Expression, Root Development, and Sugar Yield in Beta vulgaris L.
Authors: Bertoldo Giovanni , Chiodi Claudia , Della Lucia Maria Cristina , Borella Matteo , Ravi Samathmika , Baglieri Andrea , Lucenti Piergiorgio , Ganasula Bhargava Krishna , Mulagala Chandana , Squartini Andrea , Concheri Giuseppe , Magro Francesco , Campagna Giovanni , Stevanato Piergiorgio , Nardi Serenella
Published: February 2023

The molecular and phenotypic effects of a brown seaweed extract (BSE) were assessed in sugar beet (Beta vulgaris L.). Transcript levels of BSE-treated and untreated plants were studied by RNA-seq and validated by quantitative real-time PCR analysis (RT-qPCR). Root morphology, sugar yield, and processing quality traits were also analyzed to better elucidate the treatment effects. RNA-seq revealed 1019 differentially expressed genes (DEGs) between the BSE-treated and untreated plants. An adjusted p-value < 0.1 and an absolute value of log2 (fold change) greater than one was used as criteria to select the DEGs. Gene ontology (GO) identified hormone pathways as an enriched biological process. Six DEGs involved in auxin and ABA pathways were validated using RT-qPCR. The phenotypic characterization indicated that BSE treatment led to a significant increase (p < 0.05) in total root length and the length of fine roots of plants grown under hydroponics conditions. The sugar yield of plants grown under field conditions was higher (p < 0.05) in the treated field plots compared with the control treatment, without impacting the processing quality. Our study unveiled the relevant effects of BSE application in regulating auxin- and ABA-related gene expression and critical traits related to sugar beet development and yield.
ASR1 and ASR2, Two Closely Related ABA-Induced Serine-Rich Transcription Repressors, Function Redundantly to Regulate ABA Responses in Arabidopsis
Authors: Hussain Hadia , Cheng Yuxin , Wang Yating , Yuan Yuan , Adnan  , Li Yingying , Tian Hainan , Hussain Saddam , Chen Siyu , Lin Rao , Wang Tianya , Wang Shucai
Published: February 2023

The plant hormone abscisic acid (ABA) is able to regulate the expression of ABA-responsive genes via signaling transduction, and thus plays an important role in regulating plant responses to abiotic stresses. Hence, characterization of unknown ABA response genes may enable us to identify novel regulators of ABA and abiotic stress responses. By using RT-PCR analysis, we found that the expression levels of ABA-induced Serine-rich Repressor 1 (ASR1)and ASR2, two closely related unknown function genes, were increased in response to ABA treatment. Amino acid sequence analyses show that ASR1 contains an L×L×L motif and both ASR1 and ASR2 are enriched in serine. Transfection assays in Arabidopsis leaf protoplasts show that ASR1 and ASR2 were predominantly localized in the nucleus and were able to repress the expression of the reporter gene. The roles of ASRs in regulating ABA responses were examined by generating transgenic Arabidopsis plants over-expressing ASR1 and ASR2, respectively, and CRISPR/Cas9 gene-edited single and double mutants for ASR1 and ASR2. In both the seed germination and cotyledon greening assays, ABA sensitivity remained largely unchanged in the over-expression transgenic plants and the single mutants of ASR1 and ASR2, but greatly increased ABA sensitivity was observed in the asr1 asr2 double mutants. In root elongation assays, however, decreased ABA sensitivity was observed in the 35S:ASR1 and 35S:ASR2 transgenic plants, whereas increased ABA sensitivity was observed in the asr1 and asr2 single mutants, and ABA sensitivity was further increased in the asr1 asr2 double mutants. Transcriptome analysis show that the differentially expressed genes (DEGs) down-regulated in the 35S:ASR1 transgenic plant seedlings, but up-regulated in the asr1 asr2 double mutant seedlings were highly enriched in processes including responses to plant hormones and stress stimuli. Taken together, our results show that ASR1 and ASR2 are closely related ABA response genes, ASR1 and ASR2 are serine-rich novel transcription repressors, and they negatively regulate ABA responses in Arabidopsis in a redundant manner.
A Recent Update on the Impact of Nano-Selenium on Plant Growth, Metabolism, and Stress Tolerance
Authors: Samynathan Ramkumar , Venkidasamy Baskar , Ramya Karthikeyan , Muthuramalingam Pandiyan , Shin Hyunsuk , Kumari Pandy Saravana , Thangavel Sivakumar , Sivanesan Iyyakkannu
Published: February 2023

Selenium (Se) is a microelement that plays an important nutrient role by influencing various physiological and biochemical traits in plants. It has been shown to stimulate plant metabolism, enhancing secondary metabolites and lowering abiotic and biotic stress in plants. Globally, the enormous applications of nanotechnology in the food and agricultural sectors have vastly expanded. Nanoselenium is more active than bulk materials, and various routes of synthesis of Se nanoparticles (Se-NPs) have been reported in which green synthesis using plants is more attractive due to a reduction in ecological issues and an increase in biological activities. The Se-NP-based biofortification is more significant because it increases plant stress tolerance and positively impacts their metabolism. Se-NPs can enhance plant resistance to various oxidative stresses, promote growth, enhance soil nutrient status, enhance plant antioxidant levels, and participate in the transpiration process. Additionally, they use a readily available, biodegradable reducing agent and are ecologically friendly. This review concentrates on notable information on the different modes of Se-NPs’ synthesis and characterization, their applications in plant growth, yield, and stress tolerance, and their influence on the metabolic process.
Research on Adaptability Evaluation Method of Polymer by Nuclear Magnetic Resonance Technology
Authors: Wang Xiaocong , Lei Qun , Luo Jianhui , Xiao Peiwen , Wang Pingmei , Ye Yinzhu , Cong Sunan , Han Xue , He Lipeng
Published: February 2023

In order to study the matching relationship between polymer(HPAM) molecular weight and reservoir permeability, in this paper, the injection performance of polymers with different molecular weights in rock cores with different permeability is studied. Using nuclear magnetic resonance technology combined with conventional core displacement equipment, the change law of the displacement process was analyzed from three aspects of nuclear magnetic resonance T2 spectrum, core layering, and imaging. Finally, the fluidity of the polymer solution in the core was analyzed by injection pressure control features. The experimental results show that the polymer solution with a molecular weight of 25 million has the best retention effect in the core flooding experiment and can stay in the dominant channel of the core for a long time to control the water flooding mobility. In rocks with a permeability of 500, 1000, and 2000 mD, subsequent water flooding can expand the swept volume by about 25% compared with polymer flooding. This method can effectively establish the adaptability matching relationship between the polymer molecular weight and the reservoir permeability.
Mapping the Shifting Focus in Remote Sensing Literature: Technology, Methodology, and Applications
Authors: Li Xintao , Li Shuhan , Zhao Minxiao , Guo Xin , Zhang Tingjun
Published: February 2023

This paper characterizes the body of knowledge on remote sensing from 1999 to 2021 by employing bibliometric techniques based on the Science Citation Index databases and the Social Science Citation Index of the Web of Science, abbreviated to “SCI” and “SSCI”, respectively. A total of 28,438 articles were analyzed from various aspects of the publication characteristics, such as countries, institutes, subjects, journals, and keywords. Dynamic changes in published remote sensing research were examined by segregating the 19-year period into 4 stages. Co-occurrences of keywords from three aspects were evaluated, including technology, methodology, and applications. Results show that “hyperspectral remote sensing”, “classification”, “monitoring” and “MODIS” in the category of technology have emerged more frequently in recent years, and there are strong co-occurrences of “remote sensing” and “GIS” in the remote sensing technology category. In addition, there was a marked shift from traditional analytical methods (i.e., geostatistics and neural networks) to a variety of emerging methods, such as support vector machines, random forests, and feature extraction. Moreover, research hotspots are identified for remote sensing applications, which have expanded significantly with improvements in technology and methodology. In particular, “water quality”, “climate change”, and “urbanization” have become popular themes in recent years. Finally, future directions of remote sensing are identified, which would be beneficial for researchers and policy makers.
Nurturing Inherent Nobility: Insights on Human Dignity from a Bahá’í Perspective
Authors: Tavangar Temily Tianmay , Palmer David Alexander
Published: February 2023

The Bahá’í Faith is an important case for a discussion on dignity, religion and human rights. Beyond the notions of dignity enshrined in its basic teachings, a core concern of the Bahá’í community is how to build dignity into the pattern of social relations of an emerging global civilization. The oneness of humanity is the core principle around which all Bahá’í teachings revolve, and within this principle is enshrined not only the inherent, God-given nobility and dignity of every individual but also the responsibility of creating new patterns of social relations, forms of community, processes of education, and structures of institutional authority that consciously strive to create a global polity that protects and affirms the dignity of all humans, in all of their diversity. In this paper, we examine the foundations of human dignity in the Bahá’í Faith in four parts. First, we explore the use of the term “dignity” in Bahá’í sacred texts and its relationship to the concepts of “nobility" and “rights”. Second, we examine how Bahá’ís seek to put into practice their conception of dignity through a democratic system of global governance, grounded in processes of consultative deliberation, referred to as the Bahá’í Administrative Order. Third, we highlight how the Bahá’í community is seeking to cultivate conditions of dignity in its current educational endeavours, which seeks to contribute to the betterment of local communities throughout the world. Fourth, we explore the ongoing and centuries-long persecution of the Bahá’ís in Iran to understand the implications of dignity in responding to oppression.
The Potential of UAV Data as Refinement of Outdated Inputs for Visibility Analyses
Authors: Mikita Tomáš , Janošíková Lenka , Caha Jan , Avoiani Elizaveta
Published: February 2023

Visibility analyses in geographical information systems (GIS) are used to quantify the visible and non-visible parts of the landscape. This study aims to evaluate the changes in viewshed outputs after the unmanned aerial vehicle (UAV) data refinement for the near surroundings of the observer. This research accounts for the influence of data age, mainly due to vegetation growth, and the impact of the input data quality on the final study output. The raw data that were used for UAV refinement were publicly available data (one dataset at the global level, two datasets at the national level of the Czech Republic) and airborne laser scanning (ALS) data. Three localities were selected in order to compare the viewshed evaluation that was processed over ten raster elevation models. The comparison was performed using the kappa coefficient, which considers not only the matching visible pixels, but also false visibility and invisibility. Over the span of five years (2013–2018), the visible area at two sites has decreased by more than 7%. Although with some variations (kappa coefficient varied from 0.02 to 0.92), all the study sites showed a decreasing trend of the visible area with the data aging, which was caused by the vegetation growth or landscape changes. The results showed the effect of data aging in forested areas on the resulting visibility within a couple of years. At all the sites, major changes in visibility were observed after three years (2021 vs. 2018) due to vegetation growth, forest management, and natural phenomena, such as windfalls. This study concludes that UAV data will increase the accuracy of visibility analysis, even when using freely available low-resolution data, and may also help us to update obsolete input data. The results of this research can be used to refine visibility analysis when current digital surface model (DSM) data is not available.
Semi-Supervised Classification of PolSAR Images Based on Co-Training of CNN and SVM with Limited Labeled Samples
Authors: Zhao Mingjun , Cheng Yinglei , Qin Xianxiang , Yu Wangsheng , Wang Peng
Published: February 2023

Recently, convolutional neural networks (CNNs) have shown significant advantages in the tasks of image classification; however, these usually require a large number of labeled samples for training. In practice, it is difficult and costly to obtain sufficient labeled samples of polarimetric synthetic aperture radar (PolSAR) images. To address this problem, we propose a novel semi-supervised classification method for PolSAR images in this paper, using the co-training of CNN and a support vector machine (SVM). In our co-training method, an eight-layer CNN with residual network (ResNet) architecture is designed as the primary classifier, and an SVM is used as the auxiliary classifier. In particular, the SVM is used to enhance the performance of our algorithm in the case of limited labeled samples. In our method, more and more pseudo-labeled samples are iteratively yielded for training through a two-stage co-training of CNN and SVM, which gradually improves the performance of the two classifiers. The trained CNN is employed as the final classifier due to its strong classification capability with enough samples. We carried out experiments on two C-band airborne PolSAR images acquired by the AIRSAR systems and an L-band spaceborne PolSAR image acquired by the GaoFen-3 system. The experimental results demonstrate that the proposed method can effectively integrate the complementary advantages of SVM and CNN, providing overall classification accuracy of more than 97%, 96% and 93% with limited labeled samples (10 samples per class) for the above three images, respectively, which is superior to the state-of-the-art semi-supervised methods for PolSAR image classification.
Soft Sensor Design via Switching Observers
Authors: Koumboulis Fotis N. , Fragkoulis Dimitrios G. , Kouvakas Nikolaos D. , Feidopiasti Aikaterini
Published: February 2023

The goal of the paper is the design of soft sensors for single input single output (SISO) nonlinear processes. This goal is of essential importance for process monitoring, fault detection and fault isolation. The observer-based technique, being a fruitful direction in soft sensor design, is followed to develop soft sensors for nonlinear processes with known dynamics and unknown physical parameters. A new and general approach, based on the identified I/O linear approximant system descriptions, around prespecified operating points, and a bank of switching linear observers, will be developed. The system property of the I/O reconstructability of the state space linear approximant of a nonlinear model is presented. The design of each observer is based on the I/O measurements and structural characteristics of the nonlinear process. Observer-oriented target areas are introduced, and the respective dense web principle is formulated. The design is completed by the design of a data-driven rule-based system, providing stepwise switching among the observers of the bank. The number of observers of the bank is equal to the number of the linear approximants of the nonlinear process model and is equal to the number of the respective target operating areas. The target operating areas are required to satisfy the dense web principle. The information provided by the soft sensor is the estimation of the non-measured variables of the process. The information used by the soft sensor is the identified I/O approximants of the process as well as the real time values of the measurement variables. The efficiency of the design scheme is illustrated through symbolic and numerical simulation results for a chemostat. The nonlinear model of the chemostat is initially approximated by a set of ten linear approximants. After, the I/O approximants are identified, the respective observers are designed and the target operating areas are determined, where several cases of the satisfaction of the dense web principle are investigated. The soft sensor is composed in terms of the designed observers. Simulation results illustrate the satisfactory performance of the designed soft sensor.
Panel Data Models for School Evaluation: The Case of High Schools’ Results in University Entrance Examinations
Authors: Salas-Velasco Manuel
Published: February 2023

To what extent do high school students’ course grades align with their scores on standardized college admission tests? People sometimes make the argument that grades are “inflated”, but many school districts only use outcome-based descriptive methods for school evaluation. In order to answer that question, this paper proposes econometric models for panel data, which are less well-known in educational evaluation. In particular, fixed-effects and random-effects models are proposed for assessing student performance in university entrance examinations. School-level panel data analysis allows one knowing if results in college admission tests vary more between high schools than within a high school in different academic years. Another advantage of using panel data includes the ability to control for school-specific unobserved heterogeneity. For empirical implementation, official transcript data and university entrance test scores of Spanish secondary schools are used.
Innovation and E-Commerce Models, the Technology Catalysts for Sustainable Development: The Emirate of Dubai Case Study
Authors: Faccia Alessio , Le Roux Corlise Liesl , Pandey Vishal
Published: February 2023

Innovation and e-commerce models are essential in sustainable development globally. They are among the most important technology and innovation catalysts of Dubai’s pillars. Technologies are essential parts of the strategic approach that aims to become a completely paperless city through digitalisation. The analyses begin with reviewing the most relevant literature on sustainable e-commerce and the e-commerce models. Furthermore, the research identifies the innovation and sustainable paradigms most suitable for developing technologies and e-commerce successfully. Finally, the focus is shifted to the best and most innovative and sustainable e-commerce practices adopted by the companies, contextualised in the Emirate of Dubai as a relevant case study. The primary outcome of this research demonstrated how a thriving environment, marked by adequate investments and opportunities provided by the government, supported e-commerce development and technology adoption. Subsequently, those models are matched with sustainable strategies. The analysis is carried out through an organic growth research framework. The results, therefore, provide valuable insights to multiple stakeholders. Indeed, despite some limitations, the Emirates of Dubai can be considered a benchmark in terms of a strategic digitalisation approach, as its ecosystem proves particularly fruitful for e-commerce development and company sales growth.
The Role of Spatialisation and Spatial Planning in Improving Food Systems: Insights from the Fast-Growing City of Dhaka, Bangladesh
Authors: Van Haren Charlotte , Kumar Inder , Cormont Anouk , Terwisscha van Scheltinga Catharien , De Rooij Bertram , Islam Syed , Verweij Peter
Published: February 2023

Cities are growing rapidly. It takes a chain of activities to get food from farms to cities. This food system is largely driven by autonomous market development, seizing opportunities favourable to a stakeholder but unfavourable to society at large. Spatial planning is crucial along the chain of food system activities to improve food system outcomes, resilience, and limit negative trade-offs. To include the food system in spatial planning, it must first be mapped (i.e., spatialisation) to understand the functions. These maps inform the spatial planning process, which in turn influences spatial configuration of activities. This paper explores the role of spatialisation and spatial planning in the food system of the fast-growing Dhaka Metropolitan Area (DMA) using three different approaches: urban footprint, mapping, and semi-structured interviews. Stakeholders are unaware of spatial aspects that are present in DMA’s food system and therefore do not consider it while developing spatial plans. The analysis in this article, based on the Urban Food Footprint analysis, food system spatialisation, and interviews shows that spatial planning informed by descriptive spatial information can play an important role in guiding the transformation to a more robust, resilient, and inclusive food system.
Environmental Performance of China’s Industrial System Considering Technological Heterogeneity and Interaction
Authors: Li Lei , Zhao Ruizeng , Huang Feihua
Published: February 2023

The industrial sector, the backbone of China’s economic development, is a key field that requires environmental management. The purpose of this study is to propose an improved data envelopment analysis (DEA) model to analyze the performance of provincial industrial systems (ISs) from 2011 to 2020 in China. To comprehensively characterize the operational framework of ISs, this study proposes an improved meta-frontier network DEA model. Unlike the existing models, the one proposed in this study not only considers the technical heterogeneity of ISs, but also reflects the interaction between IS subsystems. The empirical analysis yields valuable research findings. First, the overall environmental performance of Chinese ISs is generally low, with an average performance of 0.50, showing a U-shaped trend during the study period. Furthermore, significant regional differences are observed in the environmental performance of Chinese ISs. Second, the average performance of the production subsystem is 0.75, while the average performance of the pollution control subsystem (PTS) is 0.44. The low performance of the PTS pulls down the overall performance of Chinese ISs. Third, the technological level of Chinese ISs is low, with about 50% improvement potential. Finally, targeted suggestions to promote the green development of ISs are proposed on the basis of the empirical results.
Analyzing Healthcare and Wellness Products’ Quality Embedded in Online Customer Reviews: Assessment with a Hybrid Fuzzy LMAW and Fermatean Fuzzy WASPAS Method
Authors: Sıcakyüz Çiğdem
Published: February 2023

With the high impetus in global digitization, online shopping (OS) is anticipated to increase further in the near future. Contrary to this anticipation, however, recent studies have emphasized a certain amount of drop in a considerable number of online purchasing transactions in 2022. One of the reasons might be customer dissatisfaction. To analyze online customer reviews, manual sentiment analysis was conducted to detect which quality criteria cause the dissatisfaction of online shoppers. The quality parameters are categorized into product, delivery service, and aftersales service quality (SQ). These main quality criteria are then divided into sub-factors. Eight health category products, including personal care products, wellness products, and household cleaners, were ranked to the importance of the sub-quality parameters using the multi-criteria decision-making (MCDM) method. In this study, a new hybrid MCDM method was also proposed, which combines the triangular fuzzy logarithm methodology of additive weights (F-LMAW) and the Fermatean fuzzy weighted aggregated sum product assessment method (FF-WASPAS). The study reveals that the most important criteria were products’ performance, as well as their side effects, pay-back, and change possibility, while the products’ reasonable price was the least important criterion. Aftersales service was more significant than delivery service. Furthermore, moisturizing creams and medical pillows were the most popular products bought in OS compared with hair conditioners and washing liquids. The study’s multifold contributions and managerial implications were elaborately discussed.
Comparisons on the Local Impact Response of Sandwich Panels with In-Plane and Out-Of-Plane Honeycomb Cores
Authors: Liu Jiefu , Wang Genda , Lei Ziping
Published: February 2023

The influence of in-plane and out-of-plane element array effects of honeycomb on the impact characteristics of sandwich panels was studied under different local impact speeds. The numerical model is calibrated by air cannon impact experiment and used to conduct the investigations. It is demonstrated that the sandwich panel with in-plane honeycomb core (SPIH) exhibits a response mode with larger local indentation and smaller overall deflection, and also shows superior energy absorption as compared to the sandwich panel with out-of-plane honeycomb core (SPOH). When facing more severe impact conditions, SPIH shows better anti-penetration capability. When the impact radius is 20 mm and the impact velocity is 83 m/s, the SHOP is penetrated while the SHIP is not. When the impact radius is 20 mm and the impact velocity is 100 m/s, the total absorbed energy of SHIP is 59.79% higher than that of SPOH, and the impact residual velocity is 32.67% lower. Furthermore, the impact mitigation performances of SPIH with different density gradient cores are investigated by comparing their deformation modes and energy absorption characteristics. The results indicate that different gradient schemes enable sandwich panels to perform multiple functions. The positive gradient design in the cell stretching direction is beneficial to reduce the overall deflection and improve the energy absorption effect.
Consumer, Retailer, and Producer Green Orientation as a Marketing Driver: An Empirical Study in an Urban Food Market
Authors: Xara-Brasil Duarte , Cordeiro João Pedro , Carvalho Luísa Cagica , Pardal Pedro , Silveira Paulo Duarte
Published: February 2023

This article analyzes consumer, local producer, and retailer green orientation regarding local food production and consumption in an urban food market context. This approach extends previous research, mainly focused on green orientation of consumers, by including a broader analysis of the perceptions of different relevant stakeholders. For this purpose, an empirical study was carried out in the context of a local urban market of a medium-sized city through the application of a survey to producers, retailers, and consumers, which included a green orientation scale. Results showed that local consumers and local retailers have a similar high level of green orientation, while local producers are less green-oriented. These conclusions highlight the importance of the green “values” in local communities and the need to reinforce marketing efforts and specific training programs to different stakeholders, namely local producers focused on sustainability.
Biochar Production, Modification, and Its Uses in Soil Remediation: A Review
Authors: Blenis Nicholas , Hue Nguyen , Maaz Tai McClellan , Kantar Michael
Published: February 2023

Soil remediation is the act of removing or reducing the availability of contaminants from soil. In the case of agriculture, soil remediation targets the removal of pollutants, including residual pesticides/herbicides, hydrocarbons, and toxic heavy metals. This is often done by chemical treatments with multiple washes or excavation of soils, which are costly and time-consuming. Therefore, finding cheaper, less time-consuming remediation methods is highly desirable. In this review, we will examine the addition of biochar as an effective method of soil remediation. Biochar is a carbon-rich material derived from burning biomass in an oxygen-limited environment with benefits such as high cation exchange capacity, large surface area, neutral to alkaline pH, and some nutritional content. Biochar can also be a sanctuary for naturally occurring microbes and can be inoculated with specific microbes for contaminant breakdown. The physical and chemical characteristics of biochar combined with biological activity can help bind and promote the degradation process of these contaminants without the need to use hazardous chemicals or remove a large amount of soil. Biochar, and the microbes they house, can bind these contaminants through electrostatic attraction, sorption, precipitation, and bioaccumulation, reducing their availability to the surrounding environment. However, the characteristics of biochar and its biological activity can vary depending on the feedstock, pyrolysis temperature, and time the mass is heated. Therefore, some of these traits can be modified through pre or post-treatments to suit their intended use, allowing for biochar to be made for specific contaminants. This review hopes to increase interest in biochar research to fill in missing gaps of information that could make biochar production cheaper and more consistent, as it offers a greener way to clean up contaminants in soil.
Role of Smart Farm as a Tool for Sustainable Economic Growth of Korean Agriculture: Using Input–Output Analysis
Authors: Choi Sung-Wook , Shin Yong Jae
Published: February 2023

This study focused on smart farms in Korea to confirm that the fourth industrial revolution technology is a tool that can be used for sustainable economic development in agriculture. This study used the input–output table, which included the production-inducing effects of the demand inducement model, value-added inducing effects, supply shortage effects of the supply inducement model, and the interlinkage effect. These methods were used to compare the impact of smart farm machinery on agriculture and the impact of smart farms on the Korean economy compared to conventional agriculture, thereby confirming the extent of the effect of fourth industrial revolution technology on agriculture. This study was conducted to determine whether this agricultural sector could lead to sustainable economic development. The analysis revealed that the production-inducing effects of smart farms showed a greater ripple effect than those of the agricultural sector. However, both value-added inducing effects and supply shortage effects showed a larger ripple effect in the agricultural sector. Considering only the indirect effect, the smart farms were found to evenly affect secondary and tertiary industries. In the case of value-added inducing and supply shortage effects, agriculture was found to have a greater impact on the secondary industry, whereas smart agri-machines and farms had a greater impact on the tertiary industry. Moreover, according to the interlinkage effect, agriculture was classified as a raw industry with final demand, and smart farms as a manufacturing industry with intermediate demand. These results have several implications. For the fourth industrial revolution technology to lead sustainable economic growth in agriculture, continuous creation of new value by developing various types of business models linked to other industries in consideration of the industrial characteristics of smart farms and agri-machines is necessary. In addition, to fully demonstrate the economic effects of smart farms, continuous management and support are required so that smart technologies can be strategically utilized in the agricultural sector.
Composting Waste from the White Wine Industry
Authors: Pinto Rui , Correia Cláudia , Mourão Isabel , Moura Luísa , Brito Luis Miguel
Published: February 2023

The wine industry generates a large amount of waste, and composting is an alternative for recycling these residues with agronomic and environmental advantages. With this aim, grape marc and grape stalks were composted in static and turned piles, with three and six turns, to investigate the effects of pile conditions during composting in order to improve final compost quality. Thermophilic temperatures were attained soon after pile construction, and the highest maximum temperatures were achieved in the turned piles (70.5–71.8 °C). However, pile moisture content decreased below the recommended values after day 42 in these piles. The extremely high temperatures and low moisture content in the turned piles hampered organic matter mineralization rates and the amount of potentially mineralizable organic matter (OM0) (391–407 g kg−1), whereas the structure of the static pile provided adequate porosity to increase organic matter decomposition and OM0 (568 g kg−1). This study shows that composting grape marc with stalks, for a period of 140 days, resulted in stabilized and matured compost (NH4+-N/NO3–-N < 0.5) with good chemical characteristics for applications as soil organic amendment, without the need for rewetting or turning the piles, thus reducing the agronomic and environmental cost of the composting process.
A Lifecycle Assessment of Meat Processing Products Made from Protein-Based Thermoplastics
Authors: Verbeek Casparus J. R. , Van der Merwe De Wet , Bier James M.
Published: February 2023

Hygiene during slaughtering is paramount for meat processors and plugs are often used during slaughtering to reduce contamination from fecal matter. These products are rendered along with other waste and are considered a serious contaminant to rendering products. A life cycle assessment (LCA) was used to determine and compare the environmental impacts of plugs made from polypropylene to a protein-based thermoplastic (Novatein). For Novatein plugs, resin production dominated the non-renewable primary energy (NRPE) use and global warming potential (GWP), whereas the impacts from injection molding and packaging dominated downstream production. Novatein plugs had a higher GWP than the PP plug, but required less NRPE. Two important conclusions were drawn: a bio-based material does not necessarily present an overall reduced environmental impact in comparison to other products, and results can easily be skewed based on allocation methods used for impacts from upstream processes, especially considering waste products. However, not evident from this LCA is the advantage that Novatein breaks down during rendering, safely becoming part of part of the rendering products.