bluuebunny/crossref_metadata_2025 huggingface dataset:
No Associations between Dairy Intake and Markers of Gastrointestinal Inflammation in Healthy Adult Cohort
Authors: Bouzid Yasmine Y. , Chin Elizabeth L. , Spearman Sarah S. , Alkan Zeynep , Stephensen Charles B. , Lemay Danielle G.
Published: August 2023

Dairy products are a good source of essential nutrients and past reviews have shown associations of dairy consumption with decreased systemic inflammation. Links between dairy intake and gastrointestinal (GI) inflammation are under-investigated. Therefore, we examined associations between reported dairy intake and markers of GI inflammation in healthy adults in a cross-sectional observational study, hypothesizing a negative association with yogurt intake, suggesting a protective effect, and no associations with total dairy, fluid milk, and cheese intake. Participants completed 24-h dietary recalls and a food frequency questionnaire (FFQ) to assess recent and habitual intake, respectively. Those who also provided a stool sample (n = 295), and plasma sample (n = 348) were included in analysis. Inflammation markers from stool, including calprotectin, neopterin, and myeloperoxidase, were measured along with LPS-binding protein (LBP) from plasma. Regression models tested associations between dairy intake variables and inflammation markers with covariates: age, sex, and body mass index (BMI). As yogurt is episodically consumed, we examined differences in inflammation levels between consumers (>0 cup equivalents/day reported in recalls) and non-consumers. We found no significant associations between dairy intake and markers of GI inflammation. In this cohort of healthy adults, dairy intake was not associated with GI inflammation.
Quality of Life after Radical Prostatectomy: A Longitudinal Study
Authors: Anguas-Gracia Ana , Antón-Solanas Isabel , Echániz-Serrano Emmanuel , Subirón-Valera Ana Belén , Rodríguez-Roca Beatriz , Juárez-Vela Raúl , Satustegui-Dordá Pedro José , Fernández-Rodríguez María Teresa , Gea-Caballero Vicente , Tejada-Garrido Clara Isabel , Cobos-Rincón Ana , Urcola-Pardo Fernando
Published: August 2023

Background: Men with prostate cancer who undergo radical prostatectomy experience a decrease in quality of life, often related to sexual disfunction and urinary incontinence. Knowing and measuring the impact of radical prostatectomy on the individual’s social, emotional, and family quality of life could help to plan and develop an appropriate, patient-centred therapeutic approach. Aim: In this study, we aimed to evaluate changes in quality of life of patients with prostate cancer before and after radical prostatectomy. Methods: A longitudinal, observational study of 114 participants was conducted using the method of test–retest. Quality of life before and after radical prostatectomy was measured through the following self-administered questionnaires: (1) The EORTC QLQ-C30 in its Spanish version was used to assess the generic quality of life the participants; (2) the EORTC QLQ-PR25 in its Spanish version was used to assess the specific, health-related quality of life of prostate cancer patients. Results: A total of 114 men took part in this study. The results from the QLQ-C30 questionnaire indicated an improvement in the dimensions of emotional role and cognitive function, as well as in the symptoms of fatigue, pain, nausea and vomiting, insomnia, and loss of appetite, after surgery. Patients scored lower in the dimensions of role functioning, social function, and economic impact after radical prostatectomy. According to the results from the QLQ-PR25 questionnaire, 61.40% of the participants experienced sexual impotence and 26.31% suffered urinary incontinence after surgery. There were significant differences in some postsurgical outcomes between patients who had neurovascular bundles preserved and those who had not. Conclusions: In-depth knowledge of, and measurement of changes in, quality of life after radical prostatectomy should allow for comprehensive, multidisciplinary, patient-centred care planning. Psychosocial assessment, both before and after surgery, is crucial in patients with prostate cancer. This study was prospectively registered with the CEIC-A on 2012-06-27, with registration number C.P.-C.I. PI12/0088
Healthcare Experience of Pediatric Patients with Autism Spectrum Disorders in Saudi Arabia: A Cross-Sectional Study
Authors: Al-Jabri Basma , Alnuwaiser Sara , Abdulghaffar Haifa , Almuhanna Rahaf , Salaam Shaimaa , Brika Raval , Addas Alia , Bedaiwi Hala
Published: August 2023

Children with autism spectrum disorder (ASD) face several challenges in the healthcare setting. This study defines the challenges experienced by children with autism in hospitals in Saudi Arabia. A cross-sectional study was conducted using a questionnaire for guardians of autistic children in outpatient clinics, autism support groups, and rehabilitation centers. A total of 199 participants were included. The medical procedures causing the most anxiety to children were injections and getting their blood drawn (68.3%), vital sign measurement (41.6%), and height and weight measurement (37.8%). Long waiting hours (44.1%), increased sensory stimuli (33.2%), and overcrowding of hospital staff (27.9%) were stress-inducing in the healthcare environment. The guardians recommended that loud noises (44.7%), crowdedness (41.2%), and long waiting hours (42.1%) be avoided. The nonverbal children experienced significantly higher levels (p < 0.001) of agitation, irritability, and outbursts during doctor visits than their verbal counterparts. The children with intellectual disabilities were more tense and unresponsive during doctor visits (33.3%) than their intellectually able counterparts, who more frequently were calm and responsive (44.9%) during visits. Most patients with ASD face hardships during hospital visits. Nonverbal patients and those with intellectual disabilities have a higher tendency for hospital setting anxiety-induced outbursts, which may be eased by avoiding loud noise and overcrowding.
Synthesis of 1,2,3-Triazole-Containing Methoxylated Cinnamides and Their Antileishmanial Activity against the Leishmania braziliensis Species
Authors: Santos Fabíola Suelen dos , Freitas Rossimiriam Pereira de , Freitas Camila Simões de , Mendonça Débora Vasconcelos Costa , Lage Daniela Pagliara , Tavares Grasiele de Sousa Vieira , Machado Amanda Sanchez , Martins Vivian Tamieti , Costa Adilson Vidal , Queiroz Vagner Tebaldi de , de Oliveira Mariana Belizario , Oliveira Fabrício Marques de , Antinarelli Luciana Maria Ribeiro , Coimbra Elaine Soares , Pilau Eduardo Jorge , da Silva Geovane Perez , Coelho Eduardo Antonio Ferraz , Teixeira Róbson Ricardo
Published: August 2023

Leishmaniasis is a group of infectious diseases caused by protozoan parasites that belong to the genus Leishmania. Currently, there is no human vaccine, and the available treatments are associated with toxicity, high cost, and the emergence of resistant strains. These factors highlight the need to identify new antileishmanial candidates. In this study, we synthesized twenty-four methoxylated cinnamides containing 1,2,3-triazole fragments and evaluated their antileishmanial activity against the Leishmania braziliensis species, which is the main etiological agent responsible for American Tegumentary Leishmaniasis (ATL). The cinnamides were synthetically prepared using nucleophilic acyl substitution and copper(I)-catalyzed azide–alkyne cycloaddition (CuAAC) reactions. The compounds were characterized using infrared, nuclear magnetic resonance, and high-resolution mass spectrometry techniques. We performed preliminary studies to evaluate the biological activity of these compounds against L. braziliensis promastigotes and axenic amastigotes. Compound 28, N-((1-(7-(diethylamino)-2-oxo-2H-chromen-3-yl)-1H-1,2,3-triazole-4-yl) methyl)-3,4-dimethoxy cinnamide, demonstrated relevant antileishmanial activity with low toxicity in murine cells. The selectivity index values for this compound were superior compared with data obtained using amphotericin B. Furthermore, this cinnamide derivative reduced the infection percentage and number of recovered amastigotes in L. braziliensis-infected macrophages. It also induced an increase in reactive oxygen species production, depolarization of the mitochondrial potential, and disruption of the parasite membrane. Taken together, these findings suggest that this synthetic compound holds potential as an antileishmanial candidate and should be considered for future studies in the treatment of ATL.
Surmounting Cancer Drug Resistance: New Perspective on RNA-Binding Proteins
Authors: Feng Yiyuan , Zhu Sha , Liu Tengwen , Zhi Guoguo , Shao Bingjie , Liu Jibin , Li Baixue , Jiang Cen , Feng Quansheng , Wu Peijie , Wang Dong
Published: August 2023

RNA-binding proteins (RBPs), being pivotal elements in both physiological and pathological processes, possess the ability to directly impact RNA, thereby exerting a profound influence on cellular life. Furthermore, the dysregulation of RBPs not only induces alterations in the expression levels of genes associated with cancer but also impairs the occurrence of post-transcriptional regulatory mechanisms. Consequently, these circumstances can give rise to aberrations in cellular processes, ultimately resulting in alterations within the proteome. An aberrant proteome can disrupt the equilibrium between oncogenes and tumor suppressor genes, promoting cancer progression. Given their significant role in modulating gene expression and post-transcriptional regulation, directing therapeutic interventions towards RBPs represents a viable strategy for combating drug resistance in cancer treatment. RBPs possess significant potential as diagnostic and prognostic markers for diverse cancer types. Gaining comprehensive insights into the structure and functionality of RBPs, along with delving deeper into the molecular mechanisms underlying RBPs in tumor drug resistance, can enhance cancer treatment strategies and augment the prognostic outcomes for individuals afflicted with cancer.
HIV-1 Integrase Inhibition Activity by Spiroketals Derived from Plagius flosculosus, an Endemic Plant of Sardinia (Italy) and Corsica (France)
Authors: Sanna Cinzia , D’Abrosca Brigida , Fiorentino Antonio , Giammarino Federica , Vicenti Ilaria , Corona Angela , Caredda Alessia , Tramontano Enzo , Esposito Francesca
Published: August 2023

In this work we investigated, for the first time, the effect of Plagius flosculosus (L.) Alavi & Heywood, a Sardinian–Corsican endemic plant, on HIV-1 integrase (IN) activity. The phytochemical analysis of the leaves chloroform extract led us to isolate and characterize three compounds (SPK1, SPK2, and SPK3) belonging to the spiroketals, a group of naturally occurring metabolites of phytochemical relevance with interesting biological properties. Due to their structural diversity, these cyclic ketals have attracted the interest of chemists and biologists. SPK1, SPK2, and SPK3 were evaluated here for their ability to inhibit HIV-1 integrase activity in biochemical assays. The results showed that all the compounds inhibited HIV-1 IN activity. In particular, the most active one was SPK3, which interfered in a low molecular range (IC50 of 1.46 ± 0.16 µM) with HIV-1 IN activity in the presence/absence of the LEDGF cellular cofactor. To investigate the mechanism of action, the three spiroketals were also tested on HIV-1 RT-associated Ribonuclease H (RNase H) activity, proving to be active in inhibiting this function. Although SPK3 was unable to inhibit viral replication in cell culture, it promoted the IN multimerization. We hypothesize that SPK3 inhibited HIV-1 IN through an allosteric mechanism of action.
Recent Advances of Cell-Penetrating Peptides and Their Application as Vectors for Delivery of Peptide and Protein-Based Cargo Molecules
Authors: Zhang Huifeng , Zhang Yanfei , Zhang Chuang , Yu Huan , Ma Yinghui , Li Zhengqiang , Shi Nianqiu
Published: August 2023

Peptides and proteins, two important classes of biomacromolecules, play important roles in the biopharmaceuticals field. As compared with traditional drugs based on small molecules, peptide- and protein-based drugs offer several advantages, although most cannot traverse the cell membrane, a natural barrier that prevents biomacromolecules from directly entering cells. However, drug delivery via cell-penetrating peptides (CPPs) is increasingly replacing traditional approaches that mediate biomacromolecular cellular uptake, due to CPPs’ superior safety and efficiency as drug delivery vehicles. In this review, we describe the discovery of CPPs, recent developments in CPP design, and recent advances in CPP applications for enhanced cellular delivery of peptide- and protein-based drugs. First, we discuss the discovery of natural CPPs in snake, bee, and spider venom. Second, we describe several synthetic types of CPPs, such as cyclic CPPs, glycosylated CPPs, and D-form CPPs. Finally, we summarize and discuss cell membrane permeability characteristics and therapeutic applications of different CPPs when used as vehicles to deliver peptides and proteins to cells, as assessed using various preclinical disease models. Ultimately, this review provides an overview of recent advances in CPP development with relevance to applications related to the therapeutic delivery of biomacromolecular drugs to alleviate diverse diseases.
Advances of Long Non-Coding RNAs as Potential Biomarkers for Tuberculosis: New Hope for Diagnosis?
Authors: Xia Jiaojiao , Liu Yilin , Ma Yuhe , Yang Fen , Ruan Yongdui , Xu Jun-Fa , Pi Jiang
Published: August 2023

Tuberculosis (TB), one of the top ten causes of death globally induced by the infection of Mycobacterium tuberculosis (Mtb), remains a grave public health issue worldwide. With almost one-third of the world’s population getting infected by Mtb, between 5% and 10% of these infected individuals are predicted to develop active TB disease, which would not only result in severe tissue damage and necrosis, but also pose serious threats to human life. However, the exact molecular mechanisms underlying the pathogenesis and immunology of TB remain unclear, which significantly restricts the effective control of TB epidemics. Despite significant advances in current detection technologies and treatments for TB, there are still no appropriate solutions that are suitable for simultaneous, early, rapid, and accurate screening of TB. Various cellular events can perturb the development and progression of TB, which are always associated with several specific molecular signaling events controlled by dysregulated gene expression patterns. Long non-coding RNAs (lncRNAs), a kind of non-coding RNA (ncRNA) with a transcript of more than 200 nucleotides in length in eukaryotic cells, have been found to regulate the expression of protein-coding genes that are involved in some critical signaling events, such as inflammatory, pathological, and immunological responses. Increasing evidence has claimed that lncRNAs might directly influence the susceptibility to TB, as well as the development and progression of TB. Therefore, lncRNAs have been widely expected to serve as promising molecular biomarkers and therapeutic targets for TB. In this review, we summarized the functions of lncRNAs and their regulatory roles in the development and progression of TB. More importantly, we widely discussed the potential of lncRNAs to act as TB biomarkers, which would offer new possibilities in novel diagnostic strategy exploration and benefit the control of the TB epidemic.
The Biochemical Response of Soybean Cultivars Infected by Diaporthe Species Complex
Authors: Petrović Kristina , Šućur Elez Jovana , Crnković Marina , Krsmanović Slobodan , Rajković Miloš , Kuzmanović Boris , Malenčić Đorđe
Published: August 2023

Oxidative stress in soybean plants infected with Diaporthe isolates was evaluated in order to select (1) the least aggressive inoculation method, (2) to determine the most aggressive Diaporthe isolate, and (3) to determine the most tolerant soybean cultivar to this isolate. Based on the present malondialdehyde (MDA) content, the main end product of the lipid peroxidation process, and the biomarker for oxidative stress, the mycelium contact method was chosen as the least aggressive inoculation method, compared to the toothpick method and plug method. The activity of the antioxidant enzymes (superoxide–dismutase (SOD), catalase (CAT), and peroxidase (PX)), the reduced glutathione (GSH) content, and the level of lipid peroxidation (LP) were measured in soybean cv. Sava infected by five different Diaporthe species (DPM1F—D. aspalathi, DPC/KR19—D. caulivora, DPC004NY15—D. eres, 18-DIA-SOY-14—D. gulyae, and PL157A—D. longicolla). The most pathogenic Diaporthe species to cv. Sava was D. eres. The screening of the antioxidant enzymes activity in the leaves of 12 different soybean cultivars (Altona, Atlas, Capital, Chico, CX134, Favorit, Lakota, McCall, Morsoy, Strain, Rubin, and Victoria) infected with D. eres by the mycelium contact inoculation method showed that Capital, McCall, and Morsoy were the cultivars with the highest tolerance to D. eres, followed by Chico, Favorit, Lakota, and Rubin. The most sensitive cultivars were Atlas, CX134, Victoria, and Strain.
Synthesis, Characterization, and Potential Application of Cyclodextrin-Based Polyrotaxanes for Reinforced Atelocollagen Threads
Authors: Kubota Riku , Fujimoto Ichiro
Published: August 2023

Preparing strong and flexible atelocollagen-based materials for biomedical applications is still a challenging task. To address this challenge, this study describes the synthesis and characterization of water-soluble polyrotaxanes (PRs) with different coverage ratios and molecular weights of axle polymers, and their potential applications for PR-reinforced atelocollagen threads (PRATs). A novel method was established for the syntheses of PRs with relatively low coverage ratio at the sub-gram scale, in which the aldehyde groups were employed as crosslinking sites for preparing the PRATs via reductive amination. The aldehyde groups were successfully quantified by 1H nuclear magnetic resonance spectroscopy using 1,1-dimethylhydrazine as an aldehyde marker. Fourier-transform infrared and thermogravimetric analysis measurements supported the characterization of the PRs. Interestingly, tensile testing demonstrated that coverage ratio affected the mechanical properties of the PRATs more strongly than molecular weight. The insights obtained in this study would facilitate the development of soft materials based on atelocollagens and PRs.
Interpolymer Complexes Based on Cellulose Ethers: Application
Authors: Keldibekova Raushan , Suleimenova Symbat , Nurgozhina Gulden , Kopishev Eldar
Published: August 2023

Interpolymer complexes based on cellulose ethers have gained significant interest in recent years due to their versatile applications. These complexes are formed by combining different polymers through non-covalent interactions, resulting in stable structures. This article provides an overview of the various fields where IPCs based on cellulose ethers find application. IPCs based on cellulose ethers show great potential in drug delivery systems. These complexes can encapsulate drugs and enable controlled release, making them suitable for sustained drug delivery. They offer advantages in terms of precise dosage and enhanced therapeutic efficacy. Coatings and adhesives also benefit from IPCs based on cellulose ethers. These complexes can form films with excellent mechanical strength and enhanced water resistance, providing durability and protection. They have applications in various industries where coatings and adhesives play a crucial role. In food packaging, IPCs based on cellulose ethers are highly relevant. These complexes can form films with effective barrier properties against oxygen and water vapor, making them ideal for packaging perishable foods. They help extend to shelf life of food products by minimizing moisture and oxygen transfer. Various methods, such as solvent casting, coacervation, and electrostatic complexation, are employed to synthesize IPCs based on cellulose ethers.
Synthesis and Application of ZSM-5 Catalyst Supported with Zinc and/or Nickel in the Conversion of Pyrolytic Gases from Recycled Polypropylene and Polystyrene Mixtures under Hydrogen Atmosphere
Authors: Barzallo Diego , Lazo Rafael , Medina Carlos , Guashpa Carlos , Tacuri Carla , Palmay Paúl
Published: August 2023

Currently, catalytic pyrolysis has become a versatile and highly useful technology in the treatment of different plastic wastes. Thus, the development of selective catalysts to carry out cracking reactions and obtain a greater fraction of the desired products is essential. This study focuses on the synthesis of monometallic (Ni) and bimetallic (Ni-Zn) catalysts supported on ZSM-5 zeolite using an impregnation and co-impregnation method, respectively. The obtained catalysts were characterized by FTIR spectroscopy, N2 adsorption/desorption measurements, scanning electron microscopy (SEM) and energy dispersive X-Ray spectroscopy (EDS), temperature programmed NH3 desorption (TPD-NH3) and thermogravimetric analysis (TGA). In this way, a mixture of polystyrene and polypropylene recycled with a catalyst/plastic waste ratio of 1:500 was used for pyrolysis tests. The best results were obtained using the Ni-Zn/ZSM-5 catalyst, which included better impregnation, increased surface acidity, decreased dispersion and a shorter reaction time in the catalytic pyrolysis process. Under the optimized conditions, catalytic pyrolysis showed an excellent performance to generate hydrocarbons of greater industrial interest.
Synthesis, Characterization, and Evaluation of a Novel Molecularly Imprinted Polymer (MIP) for Selective Quantification of Curcumin in Real Food Sample by UV-Vis Spectrophotometry
Authors: Espinoza-Torres Sergio , López Rosario , Sotomayor Maria D. P. T. , Tuesta Juan C. , Picasso Gino , Khan Sabir
Published: August 2023

Curcumin is the main colorant of the curcuma longa plant, a food with many benefits for human health. This work aims to synthesize a novel molecularly imprinted polymer (MIP) for the selective detection of curcumin in real samples obtained from the local market of Peru. MIPs were synthesized via bulk polymerization using curcumin, acrylamide, ethylene glycol dimethacrylate, ABCV, and acetonitrile. FTIR spectra showed equal spectra for MIP and NIP. N2 physisorption analysis presented a higher value BET surface for the MIP (28.5 m2 g−1) compared to the NIP (18.5 m2 g−1). The adsorption capacity of the MIP was evaluated using UV-vis spectrophotometry in the band around 430 nm. The adsorption kinetics found were of pseudo-second-order and a Qe value of 16.2 mg g−1. Furthermore, the adsorption process resembles the Freundlich adsorption model with a heterogeneity factor of less than 1 (0.61) and Kf greater for MIP (1.97). The selectivity test indicated that MIP is more selective for curcumin (Q = 13.20 mg g−1) than against interferents (Q = 2.19 mg g−1). The specific selectivity factor (S) obtained for the interferents was greater than 1 which indicates a good selectivity. Finally, the application of MIP in real samples using UV-vis spectrophotometry yielded a recovery value greater than 70%.
A Two-Mediator System Based on a Nanocomposite of Redox-Active Polymer Poly(thionine) and SWCNT as an Effective Electron Carrier for Eukaryotic Microorganisms in Biosensor Analyzers
Authors: Medvedeva Anastasia S. , Dyakova Elena I. , Kuznetsova Lyubov S. , Mironov Vladislav G. , Gurkin George K. , Rogova Tatiana V. , Kharkova Anna S. , Melnikov Pavel V. , Naumova Alina O. , Butusov Denis N. , Arlyapov Vyacheslav A.
Published: August 2023

Electropolymerized thionine was used as a redox-active polymer to create a two-mediated microbial biosensor for determining biochemical oxygen demand (BOD). The electrochemical characteristics of the conducting system were studied by cyclic voltammetry and electrochemical impedance spectroscopy. It has been shown that the most promising in terms of the rate of interaction with the yeast B. adeninivorans is the system based on poly(thionine), single-walled carbon nanotubes (SWCNT), and neutral red (kint = 0.071 dm3/(g·s)). The biosensor based on this system is characterized by high sensitivity (the lower limit of determined BOD concentrations is 0.4 mgO2/dm3). Sample analysis by means of the developed analytical system showed that the results of the standard dilution method and those using the biosensor differed insignificantly. Thus, for the first time, the fundamental possibility of effectively using nanocomposite materials based on SWCNT and the redox-active polymer poly(thionine) as one of the components of two-mediator systems for electron transfer from yeast microorganisms to the electrode has been shown. It opens up prospects for creating stable and highly sensitive electrochemical systems based on eukaryotes.
Correction: Javed et al. Zinc Oxide Nanoparticles (ZnO NPs) and N-Methylol Dimethyl Phosphonopropion Amide (MDPA) System for Flame Retardant Cotton Fabrics. Polymers 2022, 14, 3414
Authors: Javed Asif , Wiener Jakub , Saskova Jana , Müllerová Jana
Published: August 2023

The authors wish to make a correction to this paper [...]
One-Step Electropolymerization of a Dicyanobenzene-Carbazole-Imidazole Dye to Prepare Photoactive Redox Polymer Films
Authors: Liu Jinkun , Perez Octavio Martinez , Lavergne Dominic , Rasu Loorthuraja , Murphy Elizabeth , Galvez-Rodriguez Andy , Bergens Steven H.
Published: August 2023

To the best of our knowledge, this study reports the first direct electropolymerization of a dicyanobenzene-carbazole dye functionalized with an imidazole group to prepare redox- and photoactive porous organic polymer (POP) films in controlled amounts. The POP films were grown on indium-doped tin oxide (ITO) and carbon surfaces using a new monomer, 1-imidazole-2,4,6-tri(carbazol-9-yl)-3,5-dicyanobenzene (1, 3CzImIPN), through a simple one-step process. The structure and activities of the POP films were investigated as photoelectrodes for electrooxidations, as heterogeneous photocatalysts for photosynthetic olefin isomerizations, and for solid-state photoluminescence behavior tunable by lithium-ion concentrations in solution. The results demonstrate that the photoredox-POPs can be used as efficient photocatalysts, and they have potential applications in sensing.
Preparation and Characterization of Novel Green Seaweed Films from Ulva rigida
Authors: Sonchaeng Uruchaya , Wongphan Phanwipa , Pan-utai Wanida , Paopun Yupadee , Kansandee Wiratchanee , Satmalee Prajongwate , Tamtin Montakan , Kosawatpat Prapat , Harnkarnsujarit Nathdanai
Published: August 2023

Ulva rigida green seaweed is an abundant biomass consisting of polysaccharides and protein mixtures and a potential bioresource for bioplastic food packaging. This research prepared and characterized novel biodegradable films from Ulva rigida extracts. The water-soluble fraction of Ulva rigida was extracted and prepared into bioplastic films. 1H nuclear magnetic resonance indicated the presence of rhamnose, glucuronic and sulfate polysaccharides, while major amino acid components determined via high-performance liquid chromatography (HPLC) were aspartic acid, glutamic acid, alanine and glycine. Seaweed extracts were formulated with glycerol and triethyl citrate (20% and 30%) and prepared into films. Ulva rigida films showed non-homogeneous microstructures, as determined via scanning electron microscopy, due to immiscible crystalline component mixtures. X-ray diffraction also indicated modified crystalline morphology due to different plasticizers, while infrared spectra suggested interaction between plasticizers and Ulva rigida polymers via hydrogen bonding. The addition of glycerol decreased the glass transition temperature of the films from −36 °C for control films to −62 °C for films with 30% glycerol, indicating better plasticization. Water vapor and oxygen permeability were retained at up to 20% plasticizer content, and further addition of plasticizers increased the water permeability up to 6.5 g·mm/m2·day·KPa, while oxygen permeability decreased below 20 mL·mm/m2·day·atm when blending plasticizers at 30%. Adding glycerol efficiently improved tensile stress and strain by up to 4- and 3-fold, respectively. Glycerol-plasticized Ulva rigida extract films were produced as novel bio-based materials that supported sustainable food packaging.
Industrial Data-Driven Processing Framework Combining Process Knowledge for Improved Decision Making—Part 1: Framework Development
Authors: Thibault Émilie , Kelly Jeffrey Dean , Lebreux Desilets Francis , Chioua Moncef , Poulin Bruno , Stuart Paul
Published: August 2023

Data management systems are increasingly used in industrial processes. However, data collected as part of industrial process operations, such as sensor or measurement instruments data, contain various sources of errors that can hamper process analysis and decision making. The authors propose an operating-regime-based data processing framework for industrial process decision making. The framework was designed to increase the quality and take advantage of available process data use to make informed offline strategic business operation decisions, i.e., environmental, cost and energy analysis, optimization, fault detection, debottlenecking, etc. The approach was synthesized from best practices derived from the available framework and improved upon its predecessor by putting forward the combination of process expertise and data-driven approaches. This systematic and structured approach includes the following stages: (1) scope of the analysis, (2) signal processing, (3) steady-state operating periods detection, (4) data reconciliation and (5) operating regime detection and identification. The proposed framework is applied to the brownstock washing department of a dissolving pulp mill. Over a 5-month period, the process was found to be in steady-state 32% of the time. Twenty (20) distinct operating regimes were identified. Further processing with the help of data reconciliation techniques, principal component analysis and k-means clustering showed that the main drivers explaining the operating regimes are the pulp level in tanks, its density, and the shower wash water flow rate. Additionally, it was concluded that the top four persistently problematic sensors across the steady-state spans that would need to be verified are three flow meters (06FIC137, 06FIC152, and 06FIC433), and one consistency sensor (06NIC423). This information was relayed to process experts contacts at the plant for further investigation.
Application of Landfill Gas-Water Joint Regulation Technology in Tianjin Landfill
Authors: Liu Jun , Pan Tianqi , Zhao Huihui , Guo Yan , Chen Guanyi , Hou Li’an
Published: August 2023

Landfills have long been widely used to dispose of Municipal Solid Waste (MSW). However, many landfills have faced early closure issues in recent years due to overload operations. Although in-situ aeration technology can quickly stabilize MSW, low oxygen utilization rates present a general problem that results in high energy-consuming and operating costs. This research aims to improve oxygen utilization efficiency by observing the dynamic respiratory index and the removal of contaminants. Three continuous reactors were constructed and designed with targeted aeration and re-circulation schemes for different landfill ages. The results show that a well-designed aerobic, semi-aerobic, and anaerobic reactor can fully degrade the organic components of MSW with different landfill ages, and the quantity of waste has been reduced by more than 60%. Additionally, it was disclosed that gas-water joint technology has a promotional effect on activating microorganisms.
Proteomics-Driven Biomarkers in Pancreatic Cancer
Authors: Ramalhete Luís , Vigia Emanuel , Araújo Rúben , Marques Hugo Pinto
Published: August 2023

Pancreatic cancer is a devastating disease that has a grim prognosis, highlighting the need for improved screening, diagnosis, and treatment strategies. Currently, the sole biomarker for pancreatic ductal adenocarcinoma (PDAC) authorized by the U.S. Food and Drug Administration is CA 19-9, which proves to be the most beneficial in tracking treatment response rather than in early detection. In recent years, proteomics has emerged as a powerful tool for advancing our understanding of pancreatic cancer biology and identifying potential biomarkers and therapeutic targets. This review aims to offer a comprehensive survey of proteomics’ current status in pancreatic cancer research, specifically accentuating its applications and its potential to drastically enhance screening, diagnosis, and treatment response. With respect to screening and diagnostic precision, proteomics carries the capacity to augment the sensitivity and specificity of extant screening and diagnostic methodologies. Nonetheless, more research is imperative for validating potential biomarkers and establishing standard procedures for sample preparation and data analysis. Furthermore, proteomics presents opportunities for unveiling new biomarkers and therapeutic targets, as well as fostering the development of personalized treatment strategies based on protein expression patterns associated with treatment response. In conclusion, proteomics holds great promise for advancing our understanding of pancreatic cancer biology and improving patient outcomes. It is essential to maintain momentum in investment and innovation in this arena to unearth more groundbreaking discoveries and transmute them into practical diagnostic and therapeutic strategies in the clinical context.
A New Study on Features Exploring of the Concept of Wen and Zhi in Lao-Zhuang’s Philosophy
Authors: Ji Shangkun , Huang Yongfeng
Published: August 2023

For a long time, scholars have been applying the view of Confucius on Wen (文) and Zhi (質), centering on liyi (rites and rituals 禮儀) and renyi (benevolence and righteousness 仁義), to the Daoist concepts of them. This inevitably leads to many misunderstandings and overlooking the unique characteristics of the Daoist view. In the philosophy of Laozi and Zhuangzi, Zhi represents the natural state of human nature that is simple and desireless, while Wen refers to the corresponding expressions of speech and behavior generated based on Zhi. Under the Daoist Dao (the way 道)–Wu (object 物) model, the relationship between Wen and Zhi in Laozi and Zhuangzi is closely related to human nature and emotions, presenting Ti (source 體)–Yong (function 用) as the unity with nature as Ti and emotions as Yong. Secondly, Laozi and Zhuangzi’s view on Wen and Zhi is closely related to the thoughts of self-cultivation and governing the country, with the latter as the foundation for the former. Their view of Wen and Zhi shows the relationship of Ben (root 本)-Mo (branch 末). The probing into the Laozi and Zhuangzi’s concept of Wen and Zhi helps to understand the unique characteristics of the Daoist view, thereby further excavating the theoretical value and practical significance of the relationship between Wen and Zhi.
Necessary Existence and Necessary Mercy: Ibn ‘Arabī’s Reformulation of Ibn Sīnā’s Ontological Proof
Authors: Lala Ismail , Alwazzan Reham
Published: August 2023

Abū ‘Alī ibn Sīnā (d. 428/1027) is regarded as the most influential philosopher in Islamic intellectual history. Of his numerous contributions, none has garnered more attention than his ontological proof for the existence of God, known as ‘the Demonstration of the Truthful’ (Burhān al-ṣiddiqīn). In this proof, Ibn Sīnā argues that only one being can be ‘necessarily existent’ (wājib al-wujūd). He goes on to say that all the attributes of God mentioned in the Qur’an are derived from this primary attribute of necessity. The influential mystic, Muḥyī al-Dīn ibn ‘Arabī (d. 638/1240), is clearly influenced by this proof, but he reformulates it to suggest that the primary attribute of God is mercy rather than existence. However, this is not the type of mercy that entails forgiveness or the bestowal of favors; rather, it is a necessary mercy that brings everything into existence. All of God’s other attributes flow from this primary one of necessary mercy in the same way as all of God’s attributes flow from His necessary existence for Ibn Sīnā.
Pilgrimages on the Portuguese Way to Santiago de Compostela: Evolution and Motivations
Authors: Silva Fátima Matos , Braga José Luis , Otón Miguel Pazos , Borges Isabel
Published: August 2023

This research paper is based on the study of the evolution of pilgrimages on the Santiago Way, highlighting the Portuguese Way to Santiago—Central Portuguese Way and Coastal Portuguese Way—which has experienced massive popularity over the years. The primary objective of this work is to develop a comprehensive understanding of the pilgrims’ motivations to undertake the Santiago Way pilgrimage. A mixed methods approach is adopted based on the simultaneous use of quantitative and qualitative data. So, an analysis of secondary data, provided by the Oficina del Peregrino de la Catedral de Santiago de Compostela and by the Municipal Department of Cultural Heritage Management of Porto is combined with a thematic analysis of seven interviews with stakeholders of the Portuguese Way to Santiago. The findings suggest that there is an increase in cultural and sports motivations, although spiritual and religious motivations continue to have a strong presence. The ecumenical character of the Santiago Way is also proved, given the large number of pilgrims of religions other than the Catholic one, who travel these paths—the vast territories that are traversed—until reaching the Cathedral of Santiago de Compostela. A new paradigm still needs to be registered, perceptible in the rise of Turigrims, pilgrims who benefit from support services that mitigate the hardships of the way.
Sensitivity Evaluation of Time Series InSAR Monitoring Results for Landslide Detection
Authors: He Liming , Pei Panke , Zhang Xiangning , Qi Ji , Cai Jiuyang , Cao Wang , Ding Ruibo , Mao Yachun
Published: August 2023

Spaceborne interferometric synthetic aperture radar (InSAR) techniques are important for landslide detection and monitoring; however, several limitations and uncertainties, such as the unique north–south flying direction and side-look radar observing geometry, currently limit the ability of InSAR to credibly detect landslides, especially those related to high and steep slopes. Here, we conducted experimental and statistical analysis on the feasibility of time-series InSAR monitoring for steep slopes using ascending and descending SAR images. First, the theoretical (TGNSS), practical (PGNSS), and terrain (Hterrain) (T-P-H) indices for sensitivity evaluations of the slope displacement monitoring results from time-series InSAR were proposed for slope monitoring. Subsequently, two experimental and statistical studies were conducted for the cases with and without Global Navigation Satellite System (GNSS) monitoring data. Our experimental results of two high and steep open-pit mines showed that the defined theoretical and practical sensitivity indices can quantitatively evaluate the feasibility of ascending and descending InSAR observations in steep-slope deformation monitoring with GNSS data, and the terrain sensitivity index can qualitatively evaluate the feasibility of landslide monitoring results from ascending and descending Sentinel-1 satellite data without GNSS data. We further demonstrate the generalizability of these proposed indices using four landslide cases with both public GNSS and InSAR monitoring data and 119 landslide cases with only InSAR monitoring data. The statistical results indicated that greater indices correlated with higher reliability of the monitoring results, suggesting that these novel indices have wide suitability and applicability. This study can help to improve the practice of slope deformation monitoring using spaceborne InSAR, especially for high and steep slopes.
A Study on Urban-Scale Building, Tree Canopy Footprint Identification and Sky View Factor Analysis with Airborne LiDAR Remote Sensing Data
Authors: An Seung Man
Published: August 2023

Urbanization transforms simple two-dimensional natural spaces into complex three-dimensional (3D) artificial spaces through intense land use. Hence, urbanization continuously transforms vertical urban settings and the corresponding sky view area. As such, collecting data on urban settings and their interactions with urban climate is important. In this study, LiDAR remote sensing was applied to obtain finer-resolution footprints of urban-scale buildings and tree canopies (TCs). Additionally, a related sky view factor (SVF) analysis was performed. The study site comprised an area of Incheon Metropolitan City (501.5 km2). Results show that the proposed method can be applied to update institutional land maps, enhance land use management, and implement optimized and balanced urban settings.
Autonomous Planning Algorithm for Satellite Laser Ranging Tasks Based on Rolling Horizon Optimization Framework
Authors: Lv Zequn , Fan Cunbo , An Ning , Gao Jian , Zhang Haitao , Ma Lei , Wen Guanyu , Dong Xue , Liu Chenzhi
Published: August 2023

Observation task planning is a key issue and the first step in the development of automated Satellite Laser Ranging (SLR) systems. Aiming at the problem of dynamic change of cloud cover during SLR operation, this paper proposes an autonomous mission planning algorithm for SLR based on the Rolling Horizon Optimization (RHO) framework. A hybrid event- and cycle-driven replanning mechanism is adopted, and four functional modules, rolling, planning, information acquisition and decision-making, are established to decompose the SLR observation task planning process into a series of static planning intervals. An improved ant colony algorithm is proposed and utilized to realize the autonomous planning of SLR system observation tasks, and the above autonomous planning algorithm is verified and analyzed based on the SLR system at station 7237. The results show that the above algorithm can effectively increase the number of observation satellites and revenue under cloud disturbance, solve the problems of low efficiency and poor interference resistance of conventional static algorithms, and provide a new research idea for the establishment of an unattended SLR system.
Risk Zoning of Permafrost Thaw Settlement in the Qinghai–Tibet Engineering Corridor
Authors: Liu Zhiyun , Zhu Yu , Chen Jianbing , Cui Fuqing , Zhu Wu , Liu Jine , Yu Hui
Published: August 2023

The Qinghai–Tibet Plateau is the highest and largest permafrost area in the middle and low latitudes of China. In this region, permafrost thaw settlement is the main form of expressway subgrade disaster. Therefore, the quantitative analysis and regionalization study of permafrost thaw settlement deformation are of great significance for expressway construction and maintenance in the Qinghai–Tibet region. This paper establishes a thaw settlement prediction model using the thaw settlement coefficient and thaw depth. The thaw depth was predicted by the mean annual ground temperatures and active-layer thicknesses using the Radial Basis Function (RBF) neural network model, and the thaw settlement coefficient was determined according to the type of ice content. Further, the distribution characteristics of thaw settlement risk of the permafrost subgrade in the study region were mapped and analyzed. The results showed that the thaw settlement risk was able to be divided into four risk levels, namely significant risk, high risk, medium risk and low risk levels, with the areas of these four risk levels covering 3868.67 km2, 1594.21 km2, 2456.10 km2 and 558.78 km2, respectively, of the total study region. The significant risk level had the highest proportion among all the risk levels and was mainly distributed across the Chumar River Basin, Beiluhe River Basin and Gaerqu River Basin regions. Moreover, ice content was found to be the main factor affecting thaw settlement, with thaw settlement found to increase as the ice content increased.
A Relative Field Antenna Calibration Method Designed for Low-Cost GNSS Antennas by Exploiting Triple-Differenced Measurements
Authors: Jin Wenxin , Gong Wenfei , Hou Tianwei , Sun Xin , Ma Hao
Published: August 2023

Performing the high-precision Global Navigation Satellite System (GNSS) applications with low-cost antennas is an up-and-coming research field. However, the antenna-induced phase biases, i.e., phase center corrections (PCCs), of the low-cost antennas can be up to centimeters and need to be calibrated in advance. The relative field antenna calibration method is easy to conduct, but the classical procedure entails integer ambiguity resolution, which may face the problem of low success rate under the centimeter-level PCCs. In this contribution, we designed a relative field calibration method suitable for the low-cost GNSS antennas. The triple-differencing operations were utilized to eliminate the carrier-phase ambiguities and then construct PCC measurements; the time-differencing interval was set to a relatively long time span, such as one hour, and the reference satellite was selected according to the angular distance it passed over during a time-differencing interval. To reduce the effect of significant triple-differencing noise, a weight setting method based on the area of a spherical quadrilateral was proposed for the spherical harmonics fitting process. The duration of the data collection with respect to GPS and BDS was discussed. The performance of the proposed method was assessed with real GPS and BDS observations and a variety of simulated phase patterns, showing that calibration results could be obtained with millimeter-level accuracy. The impact of cycle slip and elevation mask angle on the calibration results was also analyzed.
Data Fusion for Estimating High-Resolution Urban Heatwave Air Temperature
Authors: Wen Zitong , Zhuo Lu , Wang Qin , Wang Jiao , Liu Ying , Du Sichan , Abdelhalim Ahmed , Han Dawei
Published: August 2023

High-resolution air temperature data is indispensable for analysing heatwave-related non-accidental mortality. However, the limited number of weather stations in urban areas makes obtaining such data challenging. Multi-source data fusion has been proposed as a countermeasure to tackle such challenges. Satellite products often offered high spatial resolution but suffered from being temporally discontinuous due to weather conditions. The characteristics of the data from reanalysis models were the opposite. However, few studies have explored the fusion of these datasets. This study is the first attempt to integrate satellite and reanalysis datasets by developing a two-step downscaling model to generate hourly air temperature data during heatwaves in London at 1 km resolution. Specifically, MODIS land surface temperature (LST) and other satellite-based local variables, including normalised difference vegetation index (NDVI), normalized difference water index (NDWI), modified normalised difference water index (MNDWI), elevation, surface emissivity, and ERA5-Land hourly air temperature were used. The model employed genetic programming (GP) algorithm to fuse multi-source data and generate statistical models and evaluated using ground measurements from six weather stations. The results showed that our model achieved promising performance with the RMSE of 0.335 °C, R-squared of 0.949, MAE of 1.115 °C, and NSE of 0.924. Elevation was indicated to be the most effective explanatory variable. The developed model provided continuous, hourly 1 km estimations and accurately described the temporal and spatial patterns of air temperature in London. Furthermore, it effectively captured the temporal variation of air temperature in urban areas during heatwaves, providing valuable insights for assessing the impact on human health.