bluuebunny/crossref_metadata_2025 huggingface dataset:
Revealing Edible Bird Nest as Novel Functional Foods in Combating Metabolic Syndrome: Comprehensive In Silico, In Vitro, and In Vivo Studies
Authors: Permatasari Happy Kurnia , Permatasari Queen Intan , Taslim Nurpudji Astuti , Subali Dionysius , Kurniawan Rudy , Surya Reggie , Qhabibi Faqrizal Ria , Tanner Melvin Junior , Batubara Siti Chairiyah , Mayulu Nelly , Gunawan William Ben , Syauki Andi Yasmin , Salindeho Netty , Park Moon Nyeo , Lele Juan Alessandro Jeremis Maruli Nura , Tjandrawinata Raymond R. , Kim Bonglee , Nurkolis Fahrul
Published: September 2023

Metabolic dysfunction, which includes intra-abdominal adiposity, glucose intolerance, insulin resistance, dyslipidemia, and hypertension, manifests into metabolic syndrome and related diseases. Therefore, the discovery of new therapies in the fight against metabolic syndrome is very challenging. This study aims to reveal the existence of an edible bird nest (EBN) as a functional food candidate that may be a new alternative in fighting metabolic syndrome. The study included three approaches: in silico molecular docking simulation, in vitro, and in vivo in rats fed on cholesterol- and fat-enriched diets. Four terpenoids of Bakuchiol, Curculigosaponin A, Dehydrolindestrenolide, and 1-methyl-3-(1-methyl-ethyl)-benzene in EBN have been identified through LCMS/MS-QTOF. In molecular docking simulations, Bakuchiol and Dehydrolindestrenolide are considered very potent because they have higher inhibitory power on the four receptors (iNOS, ROS1 kinase, FTO, and lipase) than standard drugs. In vitro tests also provide insight into the antioxidant, antidiabetic, and antiobesity activities of EBN, which is quite feasible due to the smaller EC50 value of EBN compared to standard drugs. Interestingly, in vivo studies also showed significant improvements (p < 0.05) in the lipid profile, blood glucose, enzymatic levels, and inflammatory biomarkers in rats given high-dose dietary supplementation of EBN. More interestingly, high-dose dietary supplementation of EBN upregulates PGC-1α and downregulates HMG-CoA reductase. Comprehensively, it has been revealed that EBN can be novel functional foods for combating metabolic syndrome.
Seroprevalence and Risk Factors Related to Bovine Brucellosis in Continental Ecuador
Authors: Garrido-Haro Ana , Barrionuevo-Samaniego Margoth , Moreno-Caballeros Paola , Burbano-Enriquez Alexandra , Sánchez-Vázquez Manuel J. , Pompei Julio , Humblet Marie-France , Ron-Román Jorge , Saegerman Claude
Published: September 2023

Bovine brucellosis is a worldwide zoonotic contagious disease. According to World Animal Health Information System reports Ecuador has presented an increasing number of bovine brucellosis outbreaks in the continental territory over the past years (756 in 2018 versus 964 in 2021), generating economic losses for producers and causing a risk to public health. A cross-sectional study was conducted to investigate the seroprevalence of bovine brucellosis and associated risk or protective factors between May and June 2018. This stratified random study was implemented in 290 cattle herds located in the 23 provinces of continental Ecuador, which represents a total of 3737 cows aged 24 months or older. A competitive ELISA was used to detect Brucella antibodies. Simultaneously, an epidemiological survey was implemented to assess the brucellosis risk or protective factors. The apparent prevalence of bovine brucellosis at the herd level was 21.3% (95% CI: 16.8–26.6) and 6.2% (95% CI: 5.5–7) at the animal level. Univariate and multivariate logistic regression analyses were performed to determine the relationship between the potential factors associated with the presence of bovine brucellosis. The risk factors identified after multivariate analysis were a surface in ha per herd > 70 ha (OR = 2.73; 95% CI: 1.18–6.32) and the number of parturitions per animal (two or more with OR ≥ 1.8 and p-value ≤ 0.047). On the contrary, the protective factors were the region (farms located in the eastern region) and the absence of reported clinical signs. In addition, in herds where extensive production predominates, farmers have a low level of knowledge, and the farm biosecurity level is low. These results can guide the authorities in managing the risk factors identified, understanding the current epidemiological situation in Ecuador, improving the bovine brucellosis control program and food safety, as well as increase the one-health approach.
Investigating Resistance to Carbapenems in Enterobacterales: A Descriptive Epidemiological Study of 2021 Screening in an Italian Teaching Hospital
Authors: De Vita Erica , De Angelis Luigi , Arzilli Guglielmo , Baglivo Francesco , Barnini Simona , Vecchione Alessandra , Baggiani Angelo , Rizzo Caterina , Porretta Andrea Davide ,   Teams AID
Published: September 2023

Antimicrobial resistance (AMR) presents a growing threat to global healthcare. This descriptive epidemiological study investigates the prevalence and characteristics of Enterobacterales with AMR factors in a tertiary teaching hospital in Italy over the course of the year 2021. In 2021, the prevalence of colonisation by Enterobacterales with AMR factors in patients was 1.08%. During the observation period, a total of 8834 rectal swabs were performed, with 1453 testing positive. A total of 5639 rectal swabs were performed according to a hospital procedure for the active screening of MDRO colonisation at the time of admission. Of these, 679 were positive for microorganisms under surveillance, and 74 patients were colonised with Enterobacterales, predominantly Klebsiella pneumoniae and Escherichia coli. Antibiotic resistance factors were observed in 61 of these 74 patients (82.43%) of these patients, with NDM and KPC being the most frequent resistance factors. A statistically significant trend in positive swabs was observed across different ward categories (surgery, ICUs, and medical wards). Regarding specific trends, the rate of positive admission screening in medical and surgical wards was higher than in ICU wards. The results highlight the ease with which Enterobacterales develops resistance across different ward categories. The findings underscore the need for adjusted screening protocols and tailored infection prevention strategies in various care settings.
A Multilayered Imaging and Microfluidics Approach for Evaluating the Effect of Fibrinolysis in Staphylococcus aureus Biofilm Formation
Authors: Parente Raffaella , Fumagalli Maria Rita , Di Claudio Alessia , Cárdenas Rincón Cindy Lorena , Erreni Marco , Zanini Damiano , Iapichino Giacomo , Protti Alessandro , Garlanda Cecilia , Rusconi Roberto , Doni Andrea
Published: September 2023

The recognition of microbe and extracellular matrix (ECM) is a recurring theme in the humoral innate immune system. Fluid-phase molecules of innate immunity share regulatory roles in ECM. On the other hand, ECM elements have immunological functions. Innate immunity is evolutionary and functionally connected to hemostasis. Staphylococcus aureus (S. aureus) is a major cause of hospital-associated bloodstream infections and the most common cause of several life-threatening conditions such as endocarditis and sepsis through its ability to manipulate hemostasis. Biofilm-related infection and sepsis represent a medical need due to the lack of treatments and the high resistance to antibiotics. We designed a method combining imaging and microfluidics to dissect the role of elements of the ECM and hemostasis in triggering S. aureus biofilm by highlighting an essential role of fibrinogen (FG) in adhesion and formation. Furthermore, we ascertained an important role of the fluid-phase activation of fibrinolysis in inhibiting biofilm of S. aureus and facilitating an antibody-mediated response aimed at pathogen killing. The results define FG as an essential element of hemostasis in the S. aureus biofilm formation and a role of fibrinolysis in its inhibition, while promoting an antibody-mediated response. Understanding host molecular mechanisms influencing biofilm formation and degradation is instrumental for the development of new combined therapeutic approaches to prevent the risk of S. aureus biofilm-associated diseases.
Special Issue “Drug Candidates for the Treatment of Infectious Diseases”
Authors: Man Chin Chung , Dos Santos Jean Leandro
Published: September 2023

Infectious diseases encompass a range of conditions stemming from parasites [...]
Revolutionizing Medicinal Chemistry: The Application of Artificial Intelligence (AI) in Early Drug Discovery
Authors: Han Ri , Yoon Hongryul , Kim Gahee , Lee Hyundo , Lee Yoonji
Published: September 2023

Artificial intelligence (AI) has permeated various sectors, including the pharmaceutical industry and research, where it has been utilized to efficiently identify new chemical entities with desirable properties. The application of AI algorithms to drug discovery presents both remarkable opportunities and challenges. This review article focuses on the transformative role of AI in medicinal chemistry. We delve into the applications of machine learning and deep learning techniques in drug screening and design, discussing their potential to expedite the early drug discovery process. In particular, we provide a comprehensive overview of the use of AI algorithms in predicting protein structures, drug–target interactions, and molecular properties such as drug toxicity. While AI has accelerated the drug discovery process, data quality issues and technological constraints remain challenges. Nonetheless, new relationships and methods have been unveiled, demonstrating AI’s expanding potential in predicting and understanding drug interactions and properties. For its full potential to be realized, interdisciplinary collaboration is essential. This review underscores AI’s growing influence on the future trajectory of medicinal chemistry and stresses the importance of ongoing synergies between computational and domain experts.
Advancements in Phosphodiesterase 5 Inhibitors: Unveiling Present and Future Perspectives
Authors: ElHady Ahmed K. , El-Gamil Dalia S. , Abdel-Halim Mohammad , Abadi Ashraf H.
Published: September 2023

Phosphodiesterase 5 (PDE5) inhibitors presented themselves as important players in the nitric oxide/cGMP pathway, thus exerting a profound impact on various physiological and pathological processes. Beyond their well-known efficacy in treating male erectile dysfunction (ED) and pulmonary arterial hypertension (PAH), a plethora of studies have unveiled their significance in the treatment of a myriad of other diseases, including cognitive functions, heart failure, multiple drug resistance in cancer therapy, immune diseases, systemic sclerosis and others. This comprehensive review aims to provide an updated assessment of the crucial role played by PDE5 inhibitors (PDE5-Is) as disease-modifying agents taking their limiting side effects into consideration. From a medicinal chemistry and drug discovery perspective, the published PDE5-Is over the last 10 years and their binding characteristics are systemically discussed, and advancement in properties is exposed. A persistent challenge encountered with these agents lies in their limited isozyme selectivity; considering this obstacle, this review also highlights the breakthrough development of the recently reported PDE5 allosteric inhibitors, which exhibit an unparalleled level of selectivity that was rarely achievable by competitive inhibitors. The implications and potential impact of these novel allosteric inhibitors are meticulously explored. Additionally, the concept of multi-targeted ligands is critically evaluated in relation to PDE5-Is by inspecting the broader spectrum of their molecular interactions and effects. The objective of this review is to provide insight into the design of potent, selective PDE5-Is and an overview of their biological function, limitations, challenges, therapeutic potentials, undergoing clinical trials, future prospects and emerging uses, thus guiding upcoming endeavors in both academia and industry within this domain.
Optimization of the Use of Industrial Wastes in Anaerobic Soil Disinfestation for the Control of Fusarium Wilt in Strawberry
Authors: Hernández-Muñiz Paloma , Borrero Celia , Ordóñez-Martín Javier , Pastrana Ana M. , Avilés Manuel
Published: September 2023

Anaerobic soil disinfestation (ASD) is proposed as an alternative to the use of chemical fumigants against Fusarium wilt in strawberry crops. Different residual wastes (rice bran, fishmeal, and residual strawberry extrudate) were assessed as amendments for ASD. Two different concentrations and two incubation durations were tested in growth chamber trials. The abundance of several microbial groups was noted before and after the treatments. Strawberry plants were grown in the treated soils to record Fusarium wilt disease severity. The population density of F. oxysporum increased after ASD in most amendments with rice bran and residual strawberry extrudate. Changes in Trichoderma spp., copiotrophic bacteria, and Streptomyces spp. populations were observed after anaerobiosis treatments and plant trials. A reduction in the disease severity was achieved in ASD-treated soils with 20 t/ha of rice bran at both 25 and 60 days of incubation, but not when using a 13.5 t/ha dose. Similarly, treatments using 19.3 t/ha of fishmeal for both incubation durations were able to reduce disease severity. In contrast, a severity reduction was only obtained in soils treated with 25.02 t/ha of the residual strawberry extrudate and incubated for 60 days in anaerobic conditions. Two of the three by-products tested were able to reduce Fusarium wilt symptoms in strawberry plants after an ASD-treatment period of only 25 days. Accordingly, the technique seems promising for strawberry growers in Huelva, Spain, and highly sustainable by giving value to residues produced in surrounding areas.
Light-Emitting Diodes Modify Medicinal Quality of Mown Rabdosia rubescens, with Changes in Growth, Physiology, and Antioxidant Activity, under Drought Stress
Authors: Gao Jun , Meng Ping , Zhao Yan , Zhang Jinsong , He Chunxia , Wang Qirui , Cai Jinfeng
Published: September 2023

Medicinal plants accommodated by understory habitats can easily suffer over-exploitation in the heavy harvest of natural products. It is necessary to develop a sustainable cultural protocol to provide high-quality stocks for efficient regeneration. Drought places stress on medicinal plants during their culture by limiting new sprout growth and reducing the quality of medicinal extracts. Artificial mediating approaches should be considered in a sustainable regime of medicinal plant culture to test the potential tradeoff between resistance to drought and production ability. In this study, Rabdosia rubescens seedlings were raised in three light-emitting diode (LED) spectra from red (71.7% red, 14.6% green, 13.7% blue), green (26.2% red, 17.4% green, 56.4% blue), and blue (17.8% red, 33.7% green, 48.5% blue) lights. Mown seedlings were subjected to a simulated drought event. Drought stressed the seedlings by reducing the growth, dry mass, nitrogen (N) uptake, and oridonin content. Mowing increased the oridonin content but decreased total C and N accumulation and the δ13C level. The red light benefitted starch accumulation only under the well-watered condition, and the green light induced an upregulation of δ13C but decreased antioxidant activity. Oridonin content was negatively associated with combined δ13C and catalase activity. Overall, either mowing or blue light can be recommended for the culture of R. rubescens to increase oridonin content, alleviating some of the negative consequences of drought.
Light-Driven Depolymerization of Cellulosic Biomass into Hydrocarbons
Authors: Negi Arvind , Kesari Kavindra Kumar
Published: September 2023

Cellulose and hemicellulose are the main constituents of lignocellulosic biomass. Chemical derivatization of lignocellulosic biomass leads to a range of C5 and C6 organic compounds. These C5 and C6 compounds are valuable precursors (or fine chemicals) for developing sustainable chemical processes. Therefore, depolymerization of cellulose and hemicellulose is essential, leading to the development of various materials that have applications in biomaterial industries. However, most depolymerized processes for cellulose have limited success because of its structural quality: crystallinity, high hydrogen-bond networking, and mild solubility in organic and water. As a result, various chemical treatments, acidic (mineral or solid acids) and photocatalysis, have developed. One of the significant shortcomings of acidic treatment is that the requirement for high temperatures increases the commercial end cost (energy) and hampers product selectivity. For example, a catalyst with prolonged exposure to high temperatures damages the catalyst surface over time; therefore, it cannot be used for iterative cycles. Photocatalysts provide ample application to overcome such flaws as they do not require high temperatures to perform efficient catalysis. Various photocatalysts have shown efficient cellulosic biomass conversion into its C6 and C5 hydrocarbons and the production of hydrogen (as a green energy component). For example, TiO2-based photocatalysts are the most studied for biomass valorization. Herein, we discussed the feasibility of a photocatalyst with application to cellulosic biomass hydrolysis.
Hook Fabric Electroencephalography Electrode for Brain Activity Measurement without Shaving the Head
Authors: Tseghai Granch Berhe , Malengier Benny , Fante Kinde Anlay , Van Langenhove Lieva
Published: September 2023

In this research, novel electroencephalogram (EEG) electrodes were developed to detect high-quality EEG signals without the requirement of conductive gels, skin treatments, or head shaving. These electrodes were created using electrically conductive hook fabric with a resistance of 1 Ω/sq. The pointed hooks of the conductive fabric establish direct contact with the skin and can penetrate through hair. To ensure excellent contact between the hook fabric electrode and the scalp, a knitted-net EEG bridge cap with a bridging effect was employed. The results showed that the hook fabric electrode exhibited lower skin-to-electrode impedance compared to the dry Ag/AgCl comb electrode. Additionally, it collected high-quality signals on par with the standard wet gold cups and commercial dry Ag/AgCl comb electrodes. Moreover, the hook fabric electrode displayed a higher signal-to-noise ratio (33.6 dB) with a 4.2% advantage over the standard wet gold cup electrode. This innovative electrode design eliminates the need for conductive gel and head shaving, offering enhanced flexibility and lightweight characteristics, making it ideal for integration into textile structures and facilitating convenient long-term monitoring.
Understanding the Impact of Biodegradable Microplastics on Living Organisms Entering the Food Chain: A Review
Authors: Malafeev Konstantin V. , Apicella Annalisa , Incarnato Loredana , Scarfato Paola
Published: September 2023

Microplastics (MPs) pollution has emerged as one of the world’s most serious environmental issues, with harmful consequences for ecosystems and human health. One proposed solution to their accumulation in the environment is the replacement of nondegradable plastics with biodegradable ones. However, due to the lack of true biodegradability in some ecosystems, they also give rise to biodegradable microplastics (BioMPs) that negatively impact different ecosystems and living organisms. This review summarizes the current literature on the impact of BioMPs on some organisms—higher plants and fish—relevant to the food chain. Concerning the higher plants, the adverse effects of BioMPs on seed germination, plant biomass growth, penetration of nutrients through roots, oxidative stress, and changes in soil properties, all leading to reduced agricultural yield, have been critically discussed. Concerning fish, it emerged that BioMPs are more likely to be ingested than nonbiodegradable ones and accumulate in the animal’s body, leading to impaired skeletal development, oxidative stress, and behavioral changes. Therefore, based on the reviewed pioneering literature, biodegradable plastics seem to be a new threat to environmental health rather than an effective solution to counteract MP pollution, even if serious knowledge gaps in this field highlight the need for additional rigorous investigations to understand the potential risks associated to BioMPs.
Multi-Scale Fractal Characteristics of the Pore System in Low-Permeability Conglomerates from the Junggar Basin
Authors: Zheng Jiayu , Tian Weichao , Gao Yang , Wen Zhigang , Fan Yunpeng , Gao Heting , Lu Shuangfang , Zheng Xiaoyin
Published: September 2023

The pore structure and its complexity play a critical role in fluid migration and recovery efficiency. Multiple pore types, broad pore size distribution (PSD), and extremely irregular pore morphology hinder the comprehensive investigation of pore systems and their complexity in low-permeability conglomerates. In this study, the multi-scale pore system and fractal characteristics of the Permian Lower Wuerhe Formation and Triassic Baikouquan Formation conglomerates from the Junggar Basin were investigated, combining physical property analysis, casting thin sections, scanning electron microscopy, and Nuclear magnetic resonance (NMR). The results show that the pore system of conglomerates consists of residual intergranular pores (RIPs), dissolution pores (DPs), clay-related pores (CRPs), and microfractures. Three types of PSD were identified according to the shape of the T2 spectrum. Based on the fractal characteristics derived from NMR data, pore systems in conglomerates were divided into macropores (mainly RIPs and DPs), mesopores (mainly CRPs), and micropores (reflect adsorption spaces). The fractal dimension of macropores (D3) increases with the increase of clay mineral content and the decrease of contents of quartz and feldspar. Moreover, the volume of macropores decreases with the increase of clay mineral content and the decrease of contents of quartz and feldspar. In addition, the fractal dimensions and volumes of mesopores and micropores have no obvious relationship with mineral composition. D3 and macropore volume control the physical properties and fluid mobility of conglomerates. T2,gm shows a strong negative correlation with D3 and macropore volume. Meanwhile, the high value of D3 would reduce the volume of macropores. These results demonstrate that D3 is a good indicator to reveal the quality of pore structure in low-permeability conglomerates.
Research on Downhole Throttling Characteristics of Gas Wells Based on Multi-Field and Multi-Phase
Authors: Zheng Jie , Li Jiahui , Dou Yihua , Hu Zhihao , Yang Xu , Zhang Yarong
Published: September 2023

The formation of natural gas hydrates seriously affects the production efficiency of gas wells. Obtaining the correct temperature and pressure profile along the wellbore of gas wells is a prerequisite for accurately predicting the location of hydrate formation and using downhole throttling technology. According to the numerical iterative transfer law of wellbore microelement state parameters, a multi-field and multi-phase coupling method is proposed. Based on the analysis of typical temperature and pressure models, considering the gas well velocity field and density field, a gas well multi-phase correction coefficient is introduced. Based on the judgment method of multi-phase flow pattern, the friction gradient equation of multi-phase flow is obtained, and the respective theoretical prediction equations are created for the temperature field, pressure field, density field, and velocity field. Thereby, a wellbore temperature and pressure field model with multi-field and multi-phase coupling is established. The model was applied to K1 and K2 gas wells, and the calculation results of the research model were compared with the PIPESIM simulation results and measured values. At the same time, the mean μ, variance σ, and the coefficient of variation Cm were evaluated, and the results show that the coefficient of variation of the calculation results of this research model is less than 15%, which indicates greater accuracy than the PIPESIM simulation results. These findings provide a theoretical basis for the design of wellbore structures and the use of downhole tools.
Evaluation of the Effect of Betulin and Its Alkynyl Derivatives on the Profile of Changes in Gene Expression of the Inflammatory Process of Colorectal Adenocarcinoma Cells (HT-29 Cell Line)
Authors: Lubczyńska Agnieszka , Bębenek Ewa , Garncarczyk Agnieszka , Wcisło-Dziadecka Dominika
Published: September 2023

Betulin is a lupane-type pentacyclic triterpene. It is characterized by a range of biological properties, including anti-cancer and anti-inflammatory activities. It is also an origin compound for obtaining derivatives with higher biological activity and better bioavailability. Chronic inflammation stimulates the formation of a pro-cancer microenvironment, promoting tumor growth, cell migration, and neoangiogenesis. Many factors, immune system cells, and cytokines and chemokines released by them are involved in this process. Therefore, it has been suggested that the optimal target for anti-cancer drugs in this disease could be substances showing anti-inflammatory activity. The aim of the study was to indicate the direction of changes in the expression of genes related to the inflammatory state in colorectal cancer cells promoted by betulin and its selected alkynyl derivatives. Cytotoxicity assessment was carried out using a sulforhodamine B (SRB) test, whereas lipophilicity was determined by reversed-phase thin-layer chromatography (RP-TLC). The analysis of the gene expression profile in colon adenocarcinoma cells treated with betulin and its derivatives was performed using oligonucleotide microarrays HG-U133A. Based on the conducted analysis, it can be stated that betulin and its derivatives 1–3 influence the change in the expression profile of genes related to inflammatory processes in the HT-29 colon adenocarcinoma cell lines. The highest expression changes (FC > 2) were observed for HMOX1 (compound 1 vs. control) and TMED7 (compound 3 vs. control) mRNAs. An important observation is the comparison of the profile of changes in the expression of the studied genes in the compared compounds. Derivative 1 showed the greatest similarity to control cells, whereas betulin showed similarity to cisplatin. These observations indicate the necessity further research on the impact of betulin and its derivatives on inflammatory processes and the possible direction of chemical modification of compounds.
Constructing the Concept of Student Well-Being within Indonesian Islamic Higher Education
Authors: Zuhdi Muhammad , Syarief Kustiwan
Published: September 2023

This qualitative study investigates teachers’ and students’ conceptualization of well-being at an Islamic higher education institution in Indonesia. Drawing on a constructivist research design, data for this study were collected via interviews with three experienced teachers and a focused group discussion with eight students. The collected data were analyzed using a thematic analysis framework assisted by the NVIVO Pro 11 application. The results of this study reveal that, for the teacher participants, well-being should be conceptualized with reference to spiritual and transcendental dimensions (chaironic). For the student participants, meanwhile, genuine positivity with mutual respect and understanding (eudemonic) should be more emphasized. Nevertheless, both teachers and students believe that subjective well-being (hedonic) is particularly important in the fulfillment of physical and material needs on campus. This study also uncovers that, besides a context-driven conceptualization of well-being, a set of preconditions is required in order to make well-being part of campus culture, university policies, and teaching and learning practices at Islamic higher education institutions.
Doing What, by Whom, for Whom and How?: An Essay on Interests, Modes, Methods and Other Dynamics in “Theology” and/or “Religious Studies”
Authors: Weller Paul Gareth
Published: September 2023

The essay begins with a methodological exploration of aspects of the continuing contested relationship between modes of engaging in the study of religion, which are often described in English as “Theology” or “Religious Studies” and more sharply differentiated in the German language as Theologie and Religionswissenschaft. By reference to the example of some of the conflicts that emerged around the formation of the European Academy of Religion, the essay shows how these two modes can solidify into opposing scholarly camps. While acknowledging the economic pragmatics that can come to the fore in institutional settings, it notes that the primacy of “Theology” was rooted in a Christendom social, religious and legal inheritance, while the emergence of Religious Studies and Religionswissenschaft represented an Enlightenment aspiration towards freedom from such. However, the purpose of this essay is neither to take sides between these broad camps, nor to argue that the differences between them are unimportant. Rather, it is centrally concerned with critiquing both modes for having too often proceeded without a sufficiently self-conscious embrace of the contextual impact upon them of social, political and economic frameworks, interests and/or the individual positionalities taken in relation to these. To support its arguments, the essay deploys aspects of the theological and socio-political legacies of the Czech and German theologians Josef Hromádka and Dorothee Soelle, alongside methodological insights and arguments from the British Religious Studies scholars Richard King and Malory Nye. In conclusion, drawing on Ninian Smart’s call for “axioanalysis” in the study of religion, the essay sets out a series of questions to both “Theology” and/or “Religious Studies” which it posits could help to facilitate an important and needed transformation in both “Theology” and “Religious Studies”. Within such a transformation, if socio-political contextuality and positionality are embraced and embedded as necessary (but not exhaustive or exclusive) for both critical and constructive scholarship in “Theology” and “Religious Studies”, then an “engaged” approach to the study of religion might prove able to facilitate a fruitful “shared borderland” between the “hinterland territories” claimed by these otherwise often broadly differential modes of study.
Enhancing IoT Security: An Innovative Key Management System for Lightweight Block Ciphers
Authors: Rana Muhammad , Mamun Quazi , Islam Rafiqul
Published: September 2023

This research paper presents a study on designing and implementing a robust key management scheme for lightweight block ciphers in Internet of Things (IoT) networks. Key management is a critical concern for IoT devices due to their limited resources and susceptibility to security threats. The proposed scheme utilises partial key pre-distribution to achieve lightweight and secure key management. The protocol’s security has been analysed against various attacks, demonstrating its resistance. Performance evaluation results indicate that the proposed key management technique is suitable for resource-constraint IoT networks, as it reduces communication overhead, power consumption, and storage space requirements. The methodology employed in this research includes designing and implementing the proposed key management scheme and conducting scenario-based analyses of its functionality. The results affirm that the proposed solution effectively ensures secure communication in IoT networks. Overall, this research contributes to developing a secure and efficient key management scheme for lightweight block ciphers in IoT networks.
2D-WinSpatt-Net: A Dual Spatial Self-Attention Vision Transformer Boosts Classification of Tetanus Severity for Patients Wearing ECG Sensors in Low- and Middle-Income Countries
Authors: Lu Ping , Creagh Andrew P. , Lu Huiqi Y. , Hai Ho Bich ,   VITAL Consortium, Thwaites Louise , Clifton David A.
Published: September 2023

Tetanus is a life-threatening bacterial infection that is often prevalent in low- and middle-income countries (LMIC), Vietnam included. Tetanus affects the nervous system, leading to muscle stiffness and spasms. Moreover, severe tetanus is associated with autonomic nervous system (ANS) dysfunction. To ensure early detection and effective management of ANS dysfunction, patients require continuous monitoring of vital signs using bedside monitors. Wearable electrocardiogram (ECG) sensors offer a more cost-effective and user-friendly alternative to bedside monitors. Machine learning-based ECG analysis can be a valuable resource for classifying tetanus severity; however, using existing ECG signal analysis is excessively time-consuming. Due to the fixed-sized kernel filters used in traditional convolutional neural networks (CNNs), they are limited in their ability to capture global context information. In this work, we propose a 2D-WinSpatt-Net, which is a novel Vision Transformer that contains both local spatial window self-attention and global spatial self-attention mechanisms. The 2D-WinSpatt-Net boosts the classification of tetanus severity in intensive-care settings for LMIC using wearable ECG sensors. The time series imaging—continuous wavelet transforms—is transformed from a one-dimensional ECG signal and input to the proposed 2D-WinSpatt-Net. In the classification of tetanus severity levels, 2D-WinSpatt-Net surpasses state-of-the-art methods in terms of performance and accuracy. It achieves remarkable results with an F1 score of 0.88 ± 0.00, precision of 0.92 ± 0.02, recall of 0.85 ± 0.01, specificity of 0.96 ± 0.01, accuracy of 0.93 ± 0.02 and AUC of 0.90 ± 0.00.
Preparation of Hybrid Films Based in Aluminum 8-Hydroxyquinoline as Organic Semiconductor for Photoconductor Applications
Authors: Sánchez Vergara María Elena , Cantera Cantera Luis Alberto , Rios Citlalli , Salcedo Roberto , Lozada Flores Octavio , Dutt Ateet
Published: September 2023

In the present work, we have investigated an organic semiconductor based on tris(8-hydroxyquinoline) aluminum (AlQ3) doped with tetracyanoquinodimethane (TCNQ), which can be used as an organic photoconductor. DFT calculations were carried out to optimize the structure of semiconductor species and to obtain related constants in order to compare experimental and theoretical results. Subsequently, AlQ3-TCNQ films with polypyrrole (Ppy) matrix were fabricated, and they were morphologically and mechanically characterized by Scanning Electron Microscopy, X-ray diffraction and Atomic Force Microscopy techniques. The maximum stress for the film is 8.66 MPa, and the Knoop hardness is 0.0311. The optical behavior of the film was also analyzed, and the optical properties were found to exhibit two indirect transitions at 2.58 and 3.06 eV. Additionally, photoluminescence measurements were carried out and the film showed an intense visible emission in the visible region. Finally, a photoconductor was fabricated and electrically characterized. Applying a cubic spline approximation to fit cubic polynomials to the J-V curves, the ohmic to SCLC transition voltage VON and the trap-filled-limit voltage VTFL for the device were obtained. Then, the free carrier density and trap density for the device were approximated to n0=4.4586×10191m3 and Nt=3.1333×10311m3, respectively.
Using Deep Learning Models to Predict Prosthetic Ankle Torque
Authors: Prasanna Christopher , Realmuto Jonathan , Anderson Anthony , Rombokas Eric , Klute Glenn
Published: September 2023

Inverse dynamics from motion capture is the most common technique for acquiring biomechanical kinetic data. However, this method is time-intensive, limited to a gait laboratory setting, and requires a large array of reflective markers to be attached to the body. A practical alternative must be developed to provide biomechanical information to high-bandwidth prosthesis control systems to enable predictive controllers. In this study, we applied deep learning to build dynamical system models capable of accurately estimating and predicting prosthetic ankle torque from inverse dynamics using only six input signals. We performed a hyperparameter optimization protocol that automatically selected the model architectures and learning parameters that resulted in the most accurate predictions. We show that the trained deep neural networks predict ankle torques one sample into the future with an average RMSE of 0.04 ± 0.02 Nm/kg, corresponding to 2.9 ± 1.6% of the ankle torque’s dynamic range. Comparatively, a manually derived analytical regression model predicted ankle torques with a RMSE of 0.35 ± 0.53 Nm/kg, corresponding to 26.6 ± 40.9% of the ankle torque’s dynamic range. In addition, the deep neural networks predicted ankle torque values half a gait cycle into the future with an average decrease in performance of 1.7% of the ankle torque’s dynamic range when compared to the one-sample-ahead prediction. This application of deep learning provides an avenue towards the development of predictive control systems for powered limbs aimed at optimizing prosthetic ankle torque.
Mycotoxins and Maize Value Chain: Multi-Matrix and Multi-Analyte Tools towards Global Feed and Food Safety
Authors: Leite Marta , Freitas Andreia , Barbosa Jorge , Ramos Fernando
Published: September 2023

Maize value chains represent invaluable end-consumer products in food systems worldwide. Mycotoxin contamination along these chains causes severe economic and health impacts from the plant, animal and human safety points of view. This work aimed to develop a single standardized methodology that fulfilled extraction and detection procedures for 22 mycotoxins in maize chain matrices. The main goal concerned the validation of a QuEChERS-based ultra-high-performance liquid chromatography coupled to the tandem mass spectrometry (UHPLC-MS/MS) method in compliance with established performance criteria for mycotoxin determination. Validation parameters encompassing specificity/selectivity, linearity, precision, recovery, Limits of Detection (LOD) and Limits of Quantification (LOQ) were evaluated, and acceptable data were found for all the mycotoxins in the matrices under study, namely, seeds, flowering plants, silage and feed. The applied method presented LODs and LOQs lower than 40.3 and 42.1 ng g−1, respectively, and recoveries ranging from 80.7 to 118.1%, with precision values below 20.5%. A first-time full analytical procedure in a multi-matrix and multi-analyte approach was successfully validated, representing a valuable control tool for mycotoxin monitoring in maize chains. This approach will ultimately allow a response to the need for integrated risk assessments encompassing full, comprehensive analysis of whole food chains in compliance with the maximum levels established in European regulations, and the establishment of accurate solutions in each chain-specific critical point, helping to provide more sustainable, safer and healthy food systems.
Analyzing the Impact of Digital Inclusive Finance on Poverty Reduction: A Study Based on System GMM in China
Authors: Xie Xiaowen
Published: September 2023

This study investigates the potential of digital financial inclusion to reduce regional poverty in China, an issue that has received varying opinions from the academic community. Using panel data from 31 provinces, municipalities, and autonomous regions (2011–2020) and employing the system GMM, this paper analyzes the dynamic relationship between regional poverty and the growth of digital financial inclusion, as measured by the ‘Peking University Digital Financial Inclusion Index’. Controlling for factors such as the Gini coefficient, industrial structure, financial support for agriculture and education, and economic openness, this research finds that digital financial inclusion has a marked ability to reduce poverty rates. Moreover, our results indicate an intergenerational transmission characteristic in poverty, where prior levels significantly influence current poverty incidence. The study concludes that the recent acceleration of digital financial inclusion can be harnessed for meaningful poverty reduction. This study’s policy recommendations highlight the need for financial development to foster industrial and social growth and stress the importance of financial education for low-income populations. Additionally, it calls for increased management and oversight of inclusive and agricultural digital financial products and services.
Analysis and Empirical Study of Factors Influencing Urban Residents’ Acceptance of Routine Drone Deliveries
Authors: Zhang Zhao , Xiao Chun-Yan , Zhang Zhi-Guo
Published: September 2023

The usage of drone delivery couriers has multiple benefits over conventional methods, and it is expected to play a big role in the development of urban intelligent logistics. Many courier companies are currently attempting to deliver express delivery using drones in the hopes that this new type of tool used for delivery tasks will become the norm as soon as possible. However, most urban residents are currently unwilling to accept the use of drones to deliver express delivery as normal. This study aims to find out the reasons for the low acceptance of the normalization of drone delivery by urban residents and formulate a more reasonable management plan for drone delivery so that the normalization of drone delivery can be realized as soon as possible. A research questionnaire was scientifically formulated which received effective feedback from 231 urban residents in Jinjiang District, Chengdu City. A binary logistic model was used to determine the factors that can significantly influence the acceptance of residents. In addition, the fuzzy interpretive structural model(Fuzzy-ISM) was used to find out the logical relationship between the subfactors inherent to these influencing factors. It was concluded that when the infrastructure is adequate, increasing public awareness and education, enhancing the emergency plan, lowering delivery costs, enhancing delivery efficiency and network coverage, and bolstering the level of safety management can significantly raise resident acceptance of unmanned aerial vehicle(UAV) delivery. Given the positional characteristics of the subfactors in the interpretive structural model(ISM) and matrices impacts croises-multiplication appliance classemen(MICMAC) in this study, we should first make sure that the drone delivery activities can be carried out in a safe and sustainable environment with all the necessary equipment, instead of focusing on increasing the residents’ acceptance right away, in the future work of regularized drone urban delivery has not yet started the construction phase. There should be more effort put into building the links that will enable acceptance to be improved with higher efficiency, which will be helpful to the early realization of the normalization of drone urban delivery if there is already a certain construction foundation in the case where the drone delivery environment is up to standard and hardware conditions are abundant.
Analysis of the Influence of Office Building Operating Characteristics on Carbon Emissions in Cold Regions
Authors: Wang Wenfei , Kang Ning , He Fang , Li Xiaoping
Published: September 2023

Reducing buildings’ operational carbon dioxide emissions has become a crucial element in China’s efforts to achieve carbon peak and carbon neutrality targets. This study focus on the influence of office building operating characteristics on carbon emissions in cold regions. By utilizing DesignBuilder v7.0.0.096 to conduct numerical simulations of 10 different operating conditions for heating, ventilation and air-conditioning (HVAC) and lighting systems, this study solves the problems in the past of poor comfort and high energy consumption with manual management and achieves a win-win situation for health and environmental protection. The study shows that by implementing a mixed mode of mechanical ventilation and natural ventilation based on outdoor climate conditions and design requirements, unsatisfied hours can be reduced by 202 h compared to the traditional air condition heating operation mode for both winter and summer seasons. Furthermore, compared to a year-round HVAC operation mode, the air-conditioning energy consumption can be reduced by 19%, resulting in a carbon emissions reduction of 1.45 kg CO2/(m2·a). Additionally, for every 2 °C increase in the outdoor temperature, the cooling energy consumption decreases by 2–5%. In terms of lighting, the intelligent lighting mode can reduce energy consumption by 31.04%, leading to a carbon emissions reduction of 3.04 kg CO2/(m2·a). The coupling operation characteristics of mixed mode, intelligent lighting, and energy-saving lamps can achieve a maximum saving of 83.46 MWh of electricity and approximately CNY 72,000 every year, with a static payback period of approximately 2.7 years. This operational strategy, which fully considers the utilization of natural ventilation and daylighting in conjunction with traditional design approaches, improves indoor air quality and ventilation conditions, while also maximizing the energy-saving and carbon reduction potential. The study results provide valuable design and operational guidance for new and existing office buildings in cold regions, to effectively reduce carbon emissions, while offering significant investment returns.
Influential Factors Affecting Recycling Behavior toward Cardboard Boxes in the Logistics Sector: An Empirical Analysis from China
Authors: Li Pengfei , Ru Yutao , Wu Jianhong
Published: September 2023

With the escalating issues of resource waste and environmental pollution, the effective recycling of cardboard boxes within the logistics sector has emerged as a crucial factor in advancing sustainable development. This study employs the extended theory of planned behavior (ETPB) to devise a questionnaire and gather data from 700 respondents in China, aiming to analyze the influential factors that impact consumers’ engagement in recycling mechanisms provided by express delivery companies. Utilizing a principal component analysis, five co-factors that influence consumers’ willingness to recycle are identified. The findings of a multinomial logistic regression reveal a positive correlation between these five co-factors and recycling behavior, with attitude exhibiting the greatest significant influence (5.076 times in model 1 and 2.375 times in model 2) on recycling behavior. These results will serve as a scientific foundation for express delivery companies and governmental entities to adapt and optimize existing environmental protection policies, thus fostering sustainable development.