bluuebunny/crossref_metadata_2025 huggingface dataset:
Immune-Mediated Organ-Specific Reactions to COVID-19 Vaccines: A Retrospective Descriptive Study
Authors: Ruiz-Fernández Carmen , Cuesta Ricardo , Martín-López Susana , Guijarro Javier , López Gómez de las Huertas Arturo , Urroz Mikel , Miguel-Berenguel Laura , González-Muñoz Miguel , Ramírez Elena
Published: May 2023

Severe acute respiratory syndrome coronavirus 2 caused the global COVID-19 pandemic and public health crisis, and it led to the rapid development of COVID-19 vaccines, which can cause rare and typically mild hypersensitivity reactions (HRs). Delayed HRs to COVID-19 vaccines have been reported, and the excipients polyethylene glycol (PEG)2000 and polysorbate 80 (P80) are the suspected culprits. Skin patch tests do not help in diagnosing delayed reactions. We aimed to perform lymphocyte transformation tests (LTT) with PEG2000 and P80 in 23 patients with suspected delayed HRs. Neurological reactions (n = 10) and myopericarditis reactions (n = 6) were the most frequent complications. Seventy-eight percent (18/23) of the study patients were admitted to a hospital ward, and the median time to discharge was 5.5 (IQR, 3–8) days. Some 73.9% of the patients returned to baseline condition after 25 (IQR, 3–80) days. LTT was positive in 8/23 patients (5/10 neurological reactions, 2/4 hepatitis reactions and 1/2 rheumatologic reactions). All myopericarditis cases had a negative LTT. These preliminary results indicate that LTT with PEGs and polysorbates is a useful tool for identifying excipients as causal agents in HRs to COVID-19 vaccines and can play an important role in risk stratification in patients with HRs.
Application of Sucrose Acetate Isobutyrate in Development of Co-Amorphous Formulations of Tacrolimus for Bioavailability Enhancement
Authors: Mohamed Eman M. , Dharani Sathish , Nutan Mohammad T. H. , Cook Phillip , Arunagiri Rajendran , Khan Mansoor A. , Rahman Ziyaur
Published: May 2023

The focus of the present work was to develop co-amorphous dispersion (CAD) formulations of tacrolimus (TAC) using sucrose acetate isobutyrate as a carrier, evaluate by in vitro and in vivo methods and compare its performance with hydroxypropyl methylcellulose (HPMC) based amorphous solid dispersion (ASD) formulation. CAD and ASD formulations were prepared by solvent evaporation method followed by characterization by Fourier transformed infrared spectroscopy, X-ray powder diffraction (XRPD), differential scanning calorimetry (DSC), dissolution, stability, and pharmacokinetics. XRPD and DSC indicated amorphous phase transformation of the drug in the CAD and ASD formulations, and dissolved more than 85% of the drug in 90 min. No drug crystallization was observed in the thermogram and diffractogram of the formulations after storage at 25 °C/60% RH and 40 °C/75% RH. No significant change in the dissolution profile was observed after and before storage. SAIB-based CAD and HPMC-based ASD formulations were bioequivalent as they met 90% confidence of 90–11.1% for Cmax and AUC. The CAD and ASD formulations exhibited Cmax and AUC 1.7–1.8 and 1.5–1.8 folds of tablet formulations containing the drug’s crystalline phase. In conclusion, the stability, dissolution, and pharmacokinetic performance of SAIB-based CAD and HPMC-based ASD formulations were similar, and thus clinical performance would be similar.
Pharmacological Functions, Synthesis, and Delivery Progress for Collagen as Biodrug and Biomaterial
Authors: Zhou Nan , Liu Yu-Da , Zhang Yue , Gu Ting-Wei , Peng Li-Hua
Published: May 2023

Collagen has been widely applied as a functional biomaterial in regulating tissue regeneration and drug delivery by participating in cell proliferation, differentiation, migration, intercellular signal transmission, tissue formation, and blood coagulation. However, traditional extraction of collagen from animals potentially induces immunogenicity and requires complicated material treatment and purification steps. Although semi-synthesis strategies such as utilizing recombinant E. coli or yeast expression systems have been explored as alternative methods, the influence of unwanted by-products, foreign substances, and immature synthetic processes have limited its industrial production and clinical applications. Meanwhile, macromolecule collagen products encounter a bottleneck in delivery and absorption by conventional oral and injection vehicles, which promotes the studies of transdermal and topical delivery strategies and implant methods. This review illustrates the physiological and therapeutic effects, synthesis strategies, and delivery technologies of collagen to provide a reference and outlook for the research and development of collagen as a biodrug and biomaterial.
Subjective Perceptions of Occupational Fatigue in Community Pharmacists
Authors: Watterson Taylor L. , Chui Michelle A.
Published: May 2023

Introduction: Community retail pharmacists are experiencing unsafe levels of stress and excessive demands within the workplace. One aspect of workload stress that has been overlooked among pharmacists is occupational fatigue. Occupational fatigue is a characteristic of excessive workload including increased work demands and reduced capacity and resources to complete the work. The goal of this study is to describe the subjective perceptions of occupational fatigue in community pharmacists by using (Aim 1) a previously developed Pharmacist Fatigue Instrument and (Aim 2) semi-structured interviews. Methods: Wisconsin community pharmacists were eligible to participate in the study and recruited via a practice-based research network. Participants were asked to complete a demographic questionnaire, a Pharmacist Fatigue Instrument, and semi-structured interview. Survey data were analyzed using descriptive statistics. Interview transcripts were analyzed using qualitative deductive content analysis. Results: Totally, 39 pharmacists participated in the study. From the Pharmacist Fatigue Instrument, 50% of the participants stated they had times where they were not able to go above and beyond standard patient care on more than half of the days they worked. A total of 30% of the participants reported that they found it necessary to take short-cuts when providing patient care on more than half of the days they worked. Pharmacist interviews were separated into overarching themes including mental fatigue, physical fatigue, active fatigue, and passive fatigue. Conclusions: The findings highlighted the pharmacists’ feelings of despair and mental fatigue, fatigue’s connectedness to interpersonal relationships, and the complex nature of pharmacy work systems. Interventions aimed at improving occupational fatigue in community pharmacies should consider key themes of fatigue that pharmacists are experiencing.
The Effects of a Martial Arts-Based Intervention on Secondary School Students’ Self-Efficacy: A Randomised Controlled Trial
Authors: Moore Brian , Dudley Dean , Woodcock Stuart
Published: May 2023

Physical activities are generally accepted as promoting important psychological benefits. However, studies examining martial arts as a form of physical activity and mental health have exhibited many methodological limitations in the past. Additionally, recent philosophical discussion has debated whether martial arts training promotes psychological wellbeing or illness. Self-efficacy has an important relationship with mental health and may be an important mechanism underpinning the potential of martial arts training to promote mental health. This study examined the effect of martial arts training on the psychological construct of self-efficacy. A total of 283 secondary school students with a mean age of 12.76 (SD = 0.68) years were recruited to complete a time-limited (10-session) martial arts intervention, which was examined using a randomised controlled trial. Univariate ANOVAs found that the intervention improved the experimental group’s self-efficacy compared to the control group, which was sustained at follow-up. Regression analysis indicated that socio-educational status moderated this outcome. These findings support the martial arts-based intervention’s potential to improve self-efficacy and promote wellbeing through physical activity. Martial arts training may be an efficacious psychosocial treatment that can be used as a complementary approach to promote mental health.
Surface Photonic Crystal Engineering of a Multi-Mode VCSEL for a Bit-Loaded Broadband QAM-OFDM Data Link at 99 Gbit/s
Authors: Lin Yu-Hong , Cheng Chih-Hsien , Tsai Cheng-Ting , Wu Wei-Li , Choquette Kent D. , Lin Gong-Ru
Published: May 2023

Bit-loaded quadrature amplitude modulation-orthogonal frequency division multiplexing (QAM-OFDM) encoding and photonic-crystal-engineered multi-mode vertical-cavity surface-emitting lasers (MM-VCSELs) transmission performance are analyzed. Two different surface photonic-crystal designs are used to configure the core and cladding regions of MM-VCSELs, producing continuous-wave and digital-encoding outputs. These outputs are combined with the end-face-flattened OM5 multi-mode fiber (MMF) for 100 m short-reach transmission. The photonic-crystal (PhC) structure exhibits a spatial mode-filtering ability, supporting few or single-mode outputs from the MM-VCSEL. This helps reduce the modal dispersion during OM5-MMF transmission of the encoded data. Comparing the original MM-VCSEL with two different surface-photonic-crystal-configured MM-VCSELs, the allowable bit-loaded QAM-OFDM data rate can be increased from 60.7 (for the VCSEL without the PhC structure) to 85/65 Gbit/s (for the PhC VCSELs with 2-layer PhC structures in the cladding layer and the ones with a 1-layer PhC structure in the core layer and 2-layer PhC structures in the cladding layer, respectively) under back-to-back (BtB) encoding and enable the 100 m OM5-MMF transmission to increase from 58.5 (for the VCSEL without the PhC structure) to 81.2/64.6 Gbit/s (for the PhC VCSELs with 2-layer PhC structures in the cladding layer and the ones with a 1-layer PhC structure in the core layer and 2-layer PhC structures in the cladding layer), respectively. Furthermore, by comparing the 7°-titled and 0°-normalized vertical coupling conditions, it can be observed that the purely normalized vertical coupling can collect more output power, resulting in an improved signal-to-noise ratio. This significantly increases the allowable error-free data rate from 85 to 98.9 Gbit/s in the BtB case and from 81.2 Gbit/s to 95.3 Gbit/s in the 100 m OM5-MMF case.
Reflection Interference Spectroscopy Technology Monitoring the Synthesis of ZnCl2-ZnO Nanosheets on Nanoporous Anodic Alumina Substrate in Real Time
Authors: Gong Ziyi , Dang Yang , Zhu Jie , Zheng Jiming , Zhang Chen , Zhao Wei , Wang Kaige
Published: May 2023

In situ, real-time, and non-destructive monitoring of the synthesis of nanomaterials is essence crucial for the development and prospective applications of nanoscience and nanotechnology. Reflection interference spectroscopy technology was used to systematically monitor the synthesis process of a transparent (ZnCl2-ZnO)/NpAA composite film which consists of ZnCl2-ZnO nanosheets formed by ZnCl2 precursor solution on the top surface of the substrate layer of nanoporous anodic alumina. Some significant results are found, e.g., the curve of effective optical thickness with time can be divided into three stages, corresponding to the synthesis process of ZnCl2-ZnO; and more, these films generated from ZnCl2 precursor solution with different concentrations, such as 0.05 M, 0.07 M, 0.085 M, or 0.1 M, can be directly distinguished according to the characteristics of the three stages.
Solar Cell Detection and Position, Attitude Determination by Differential Absorption Imaging in Optical Wireless Power Transmission
Authors: Asaba Kaoru , Miyamoto Tomoyuki
Published: May 2023

In optical wireless power transmission, position, size, and attitude of photovoltaic device (PV) must be determined from light source. A method proposed in the previous report is based on selective absorption characteristics of PV, and it is detected by differentiating images of strongly absorbable wavelength and one not. In this study, using two infrared wavelengths, two kinds of targets were detected by differential absorption imaging. One was a GaAs substrate which simulates diffuse rear surface, and the other was a real GaAs PV. It was found that the substrate’s reflective characteristic was diffuse, and the solar cell’s was mainly non-diffuse and accompanied by small diffuse component supporting wide-angle reflection. Using this feature, the position of the GaAs solar cell could be determined within a wide range of angle. Its attitude could also be determined with an accuracy of ±10 degrees to its normal. The position of diffuse GaAs substrate could be determined within a wide range of angles, and its attitude determination was proposed by exploiting its varying apparent size with tilt angle. Broad reflection characteristics of the GaAs substrate enabled attitude determination for a wide-angle range, and determination around normal would be erroneous.
Seasonal Response of Major Phytoplankton Groups to Environmental Variables along the Campeche Coast, Southern Gulf of Mexico
Authors: Gómez-Figueroa Juan Alfredo , Rendón-von Osten Jaime , Poot-Delgado Carlos Antonio , Dzul-Caamal Ricardo , Okolodkov Yuri B.
Published: May 2023

To describe the seasonal response of the major phytoplankton groups to environmental variables along the Campeche coast, southeastern Gulf of Mexico, seven shallow-water (ca. 1 m) stations were monitored from January 2019 to January 2020. Orthophosphate, ammonium, nitrite, nitrate and silicate were measured. Several tests, including ANOVA, the Kolmogorov–Smirnov test, Tukey TSD, Bartlett’s test and canonical correspondence analysis (CCA), were applied. The physicochemical variables (temperature, salinity and pH) recorded are typical for the central coast of Campeche. Seasonal characteristics are affected by the shallowness of the study area. The variation of inorganic nutrient concentrations is likely to be related to specific polluting activities. While the abundance of phytoplankton presented a minimum value of 4.1 × 104 cells L−1 in March, the maximum value of 8.8 × 106 cells L−1 occurred in May; the general average was 5.3 × 105 cells L−1. Based on CCA, the correlation between major phytoplankton groups and physical–chemical variables was high (r ≈ 0.8), indicating a significant relationship. The CCA graphs separated the samples of diatoms by higher values of pH and silicate and separated the samples of cyanobacteria with high values of temperature (>30 °C) from the samples with dinoflagellates and nanoflagellates. Nanoflagellates were abundant in the samples with high values of ammonium and phosphate.
Molybdenum Disulphide Modified Polylactide for 3D Printed (FDM/FFF) Filaments
Authors: Kujawa Maciej , Głowacka Julia , Pawlak Wojciech , Sztorch Bogna , Pakuła Daria , Frydrych Miłosz , Sokolska Justyna , Przekop Robert E.
Published: May 2023

MoS2 is an additive used to improve the tribological properties of plastics. In this work, it was decided to verify the use of MoS2 as a modifier of the properties of PLA filaments used in the additive FDM/FFF technique. For this purpose, MoS2 was introduced into the PLA matrix at concentrations of 0.025–1.0% by weight. Through extrusion, a fibre with a diameter of 1.75 mm was obtained. 3D printed samples with three different filling patterns were subjected to comprehensive thermal (TG, DSC and HDT), mechanical (impact, bending and strength tests), tribological and physicochemical characteristics. The mechanical properties were determined for two different types of fillings, and samples with the third type of filling were used for tribological tests. Tensile strength has been significantly increased for all samples with longitudinal filling with improvement up to 49%. In terms of tribological properties, higher values of the addition (0.5%) caused a significant increase of up to 457% of the wear indicator. A significant improvement in processing properties in terms of rheology was obtained (416% compared to pure PLA with the addition of 1.0%), which translated into more efficient processing, increased interlayer adhesion and mechanical strength. As a result, the quality of printed objects has been improved. Microscopic analysis was also carried out, which confirmed the good dispersion of the modifier in the polymer matrix (SEM-EDS). Microscopic techniques (MO, SEM) allowed for the characterization of the effect of the additive on changes in the printing process (improvement of interlayer remelting) and to assess impact fractures. In the tribological area, the introduced modification did not bring spectacular effects.
Preparation of Novel Biodegradable Polymer Slow-Release Fertilizers to Improve Nutrient Release Performance and Soil Phosphorus Availability
Authors: Xiang Yang , Liu Yaqing , Gong Mingshan , Tong Yingfang , Liu Yuhan , Zhao Guizhe , Yang Jianming
Published: May 2023

Inspired by the gradual collapse of carbon chain and the gradual release of organic elements into the external environment during the degradation of biodegradable polymers, a novel biodegradable polymer slow-release fertilizer containing nutrient nitrogen and phosphorus (PSNP) was prepared in this study. PSNP contains phosphate fragment and urea formaldehyde (UF) fragment, which are prepared by solution condensation reaction. Under the optimal process, the nitrogen (N) and P2O5 contents of PSNP were 22% and 20%, respectively. The expected molecular structure of PSNP was confirmed by SEM, FTIR, XRD, and TG. PSNP can release N and phosphorus (P) nutrients slowly under the action of microorganisms, and the cumulative release rates of N and P in 1 month were only 34.23% and 36.91%, respectively. More importantly, through soil incubation experiment and leaching experiment, it was found that UF fragments released in the degradation process of PSNP can strongly complex soil high-valence metal ions, thus inhibiting the phosphorus nutrient released by degradation to be fixed in the soil and ultimately effectively increasing the soil available P content. Compared with ammonium dihydrogen phosphate (ADP), a small molecule phosphate fertilizer that is easily soluble, the available P content of PSNP in the 20–30 cm soil layer is almost twice that of ADP. Our study provides a simple copolymerization method to prepare PSNP with excellent slow-release N and P nutrients, which can promote the development of sustainable agriculture.
Study on the Effect of Core-Shell Abaca Vascular Carriers on the Self-Healing and Mechanical Properties of Thermoset Panels
Authors: Venkata Chalapathi K. , Prabhakar M. N. , Song Jung-il
Published: May 2023

Self-healing panels were prepared using vinyl ester (VE) and vascular abaca fibers (unidirectional) through the hand lay-up process. Initially, two sets of abaca fibers (AF) were prepared by filling the healing resin VE and hardener and stacking both core-filled unidirectional fibers in a 90° direction to obtain sufficient healing. The experimental results demonstrated that the healing efficiency increased by approximately 3%. SEM-EDX analysis further confirmed the healing process by exhibiting spill-out resin and the respective fibers’ major chemical elements at the damaged site after self-healing. The tensile, flexural, and Izod impact strengths of self-healing panels indicated improved strengths of 7.85%, 49.43%, and 53.84%, respectively, compared with fibers with empty lumen-reinforced VE panels due to the presence of a core and interfacial bonding between the reinforcement and matrix. Overall, the study proved that abaca lumens could effectively serve as healing carriers for thermoset resin panels.
Ketorolac Loaded Poly(lactic-co-glycolic acid) Coating of AZ31 in the Treatment of Bone Fracture Pain
Authors: Puccetti Matteo , Cusati Eleonora , Antognelli Cinzia , Ricci Maurizio , Ambrogi Valeria , Schoubben Aurélie
Published: May 2023

Biodegradable metal alloys may be successfully used to support bone repair, avoiding second surgery commonly needed when inert metal alloys are used. Combining a biodegradable metal alloy with a suitable pain relief agent could improve patient quality of life. AZ31 alloy was coated using a poly(lactic-co-glycolic) acid (PLGA) polymer loaded with ketorolac tromethamine using the solvent casting method. The ketorolac release profile from the polymeric film and the coated AZ31 samples, the PLGA mass loss of polymeric film, and the cytotoxicity of the optimized coated alloy were assessed. The coated sample showed a ketorolac release that was prolonged for two weeks, which was slower than that of just the polymeric film, in simulated body fluid. PLGA mass loss was complete after a 45-day immersion in simulated body fluid. The PLGA coating was able to lower AZ31 and ketorolac tromethamine cytotoxicity observed in human osteoblasts. PLGA coating also prevents AZ31 cytotoxicity, which was identified in human fibroblasts. Therefore, PLGA was able to control ketorolac release and protect AZ31 from premature corrosion. These characteristics allow us to hypothesize that the use of ketorolac tromethamine-loaded PLGA coating on AZ31 in the management of bone fractures can favor osteosynthesis and relief pain.
Pluronic F127 and P104 Polymeric Micelles as Efficient Nanocarriers for Loading and Release of Single and Dual Antineoplastic Drugs
Authors: Gutiérrez-Saucedo Ramón A. , Gómez-López Julio C. , Villanueva-Briseño Adrián A. , Topete Antonio , Soltero-Martínez J. F. Armando , Mendizábal Eduardo , Jasso-Gastinel Carlos F. , Taboada Pablo , Figueroa-Ochoa Edgar B.
Published: May 2023

The potential application of biodegradable and biocompatible polymeric micelles formed by Pluronic F127 and P104 as nanocarriers of the antineoplastic drugs docetaxel (DOCE) and doxorubicin (DOXO) is presented in this work. The release profile was carried out under sink conditions at 37 °C and analyzed using the Higuchi, Korsmeyer–Peppas, and Peppas–Sahlin diffusion models. The cell viability of HeLa cells was evaluated using the proliferation cell counting kit CCK-8 assay. The formed polymeric micelles solubilized significant amounts of DOCE and DOXO, and released them in a sustained manner for 48 h, with a release profile composed of an initial rapid release within the first 12 h followed by a much slower phase the end of the experiments. In addition, the release was faster under acidic conditions. The model that best fit the experimental data was the Korsmeyer–Peppas one and denoted a drug release dominated by Fickian diffusion. When HeLa cells were exposed for 48 h to DOXO and DOCE drugs loaded inside P104 and F127 micelles, they showed lower IC50 values than those reported by other researchers using polymeric nanoparticles, dendrimers or liposomes as alternative carriers, indicating that a lower drug concentration is needed to decrease cell viability by 50%.
Assessment of Microhardness of Conventional and Bulk-Fill Resin Composites Using Different Light-Curing Intensity
Authors: Jakupović Selma , Pervan Nedim , Mešić Elmedin , Gavranović-Glamoč Alma , Bajsman Anita , Muratović Enis , Kazazić Lejla , Kantardžić-Kovačević Alma
Published: May 2023

(1) Background: This study evaluates the effect of a conventional/low-voltage light-curing protocol (LV protocol) (10 s with 1340 mW/cm2) and high-voltage light-curing protocol (HV protocol) (3 s with 3440 mW/cm2) on the microhardness (MH) of dental resin-based composites (RBCs). Five resin composites were tested: conventional Evetric (EVT), Tetric Prime (TP), Tetric Evo Flow (TEF), bulk-fill Tetric Power Fill (PFL), and Tetric Power Flow (PFW). (2) Materials and Methods: Two tested composites (PFW and PFL) were designed for high-intensity light curing. The samples were made in the laboratory in specially designed cylindrical molds; diameter = 6 mm and height = 2 or 4 mm, depending on the type of composite. Initial MH was measured on the top and bottom surfaces of composite specimens 24 h after light curing using a digital microhardness tester (QNESS 60 M EVO, ATM Qness GmbH, Mammelzen, Germany). The correlation between the filler content (wt%, vol%) and the MH of the RBCs was tested. For the calculation of depth-dependent curing effectiveness, the bottom/top ratio for initial MH was used. (3) Conclusions: MH of RBCs is more dependent on material composition than on light-curing protocol. Filler wt% has a greater influence on MH values compared to filler vol%. The bottom/top ratio showed values over 80% for bulk composites, while for conventional sculptable composites, borderline or suboptimal values were measured for both curing protocols.
Framework for the Implementation of Smart Manufacturing Systems: A Case in Point
Authors: Hammad Muhammad , Islam Md Shamimul , Salam Mohammad Asif , Jafry Ali Turab , Ali Inayat , Khan Wasim Ahmed
Published: May 2023

Smart manufacturing has become a vital technique for increasing productivity and efficiency. Firms are following a smart manufacturing implementation system to compete in the market. Therefore, it is mandatory to find the crucial factors that enable the implementation of intelligent manufacturing in enterprises. This study proposes the framework for a new model factory based on the three-dimensional model that extends the product lifecycle layer. It also analyzes the significant attributes and interdependence relationships of causes and effects through the fuzzy DEMATEL approach for the selected small and medium enterprises discussed as a case study. The results show that the factors in Region 1 are significant attributes that need to be focused on for the development and establishment of small and medium enterprises under consideration. These attributes include design documentation (A11), intelligently management of small and medium enterprises (A3), visualization and monitoring of logistics and production (A6), flow of information, energy, and materials (A12), management platform and data acquisition for equipment (A7), and visualization of quality and process (A5). The sensitivity analysis is also performed to check the results’ validity, reliability, and robustness. This study aids any manufacturing firm in analyzing the critical attributes that contribute to implementing smart manufacturing.
Predicting Octane Number of Petroleum-Derived Gasoline Fuels from MIR Spectra, GC-MS, and Routine Test Data
Authors: Benavides Alirio , Zapata Carlos , Benjumea Pedro , Franco Camilo A. , Cortés Farid B. , Ruiz Marco A.
Published: May 2023

Petroleum-derived gasoline is still the most widely used liquid automotive fuel for ground vehicles equipped with spark-ignition engines. One of the most important properties of gasoline fuels is their antiknock performance, which is experimentally evaluated via the octane number (ON). It is widely accepted that the standard methods for ON measuring (RON: research octane number and MON: motor octane number) are very expensive due to the costs of the experimental facilities and are generally not suitable for field monitoring or online analysis. To overcome these intrinsic problems, it is convenient that the ON of gasoline fuels is estimated via faster methods than the experimental tests and allows for acceptable results with acceptable reproducibility. Various ON prediction methods have been proposed in the literature. These methods differ in the type of fuels for which they are developed, the input features, and the analytical method used to underlie the link between input features and ON. The aim of this work is to develop and evaluate three empirical methods for predicting the ON of petroleum-derived gasoline fuels using MIR spectra, GC-MS, and routine test data as input features. In all cases, the chosen analytical method was partial least squares regression (PLSR). The best performance for both MON and RON prediction corresponded with the composition-based model, since it presented lesser evaluation indices (RMSE, MAE, and R2) and more than 80% of residuals were within the established criteria (sum of the reproducibility and the uncertainty of the standard method). Although the routine-test-data-based method performed poorly according to the established criterion, its use could be recommended in cases of scarce data since it showed an acceptable value of R2 and physical consistency. Despite their empirical nature, the proposed prediction models based on MIR (mid-infrared) spectra, GC-MS, and routine test data had the potential to predict the RON and MON of real gasoline fuels commercialized in Colombia.
Nonisothermal Crystallization Kinetics by DSC: Practical Overview
Authors: Vyazovkin Sergey , Sbirrazzuoli Nicolas
Published: May 2023

Providing a minimum of theory, this review focuses on practical aspects of analyzing the kinetics of nonisothermal crystallization as measured with differential scanning calorimetry (DSC). It is noted that kinetic analysis is dominated by approaches based on the Avrami and Arrhenius equations. Crystallization kinetics should not be considered synonymous with the Avrami model, whose nonisothermal applications are subject to very restrictive assumptions. The Arrhenius equation can serve only as a narrow temperature range approximation of the actual bell-shaped temperature dependence of the crystallization rate. Tests of the applicability of both equations are discussed. Most traditional kinetic methods tend to offer very unsophisticated treatments, limited only to either glass or melt crystallization. Differential or flexible integral isoconversional methods are applicable to both glass and melt crystallization because they can accurately approximate the temperature dependence of the crystallization rate with a series of the Arrhenius equations, each of which corresponds to its own narrow temperature interval. The resulting temperature dependence of the isoconversional activation energy can be parameterized in terms of the Turnbull–Fisher or Hoffman–Lauritzen theories, and the parameters obtained can be meaningfully interpreted and used for kinetic simulations.
Multi-Period Production Optimization Decision Models under Net-Zero Transformation
Authors: Tsai Wen-Hsien
Published: May 2023

Facing the goal of net-zero emissions in 2050, the EU will pilot the European Carbon Boundary Adjustment Mechanism (CBAM) in 2023 and formally implement it in 2026. The scope of control includes cement, electricity, fertilizer, steel, aluminum, and five high-carbon emission industries. In response to global net-zero emissions and CBAM trends, net-zero transformation is not only an environmental issue but also a major economic issue related to Taiwan’s aluminum wheel frame industry. This study aims to bridge this gap by developing novel decision-making models that consider the unique requirements and constraints of net-zero transition, leading to more efficient and sustainable production optimization strategies based on activity-based costing (ABC). This study proposes four possible multi-period production optimization decision-making models (carbon tax and credit combination models) under the net-zero emission transformation of the aluminum wheel frame industry, and it compares the models to test their differences. The results of the study point out that, due to the different roles of carbon tax and carbon credit, the profit and product structure under the net-zero transformation will be very different. Enterprises should formulate carbon emission reduction targets and carbon inventories as soon as possible.
Modeling of Particle Size Distributions in Industrial Poly(vinyl chloride) Suspension Polymerization Reactors
Authors: dos Santos Silva Jonildo , Albuquerque Melo Príamo , Pinto José Carlos
Published: May 2023

In the present paper, a mathematical model is built and implemented to describe the trajectories of mass inventories, pressures and polymer properties with emphasis on final particle size distributions of industrial scale poly(vinyl chloride) suspension polymerization reactors. The model comprises the mass balances, statistical moment balances, equilibrium relationships and population balance equations. A discretization scheme is employed to transform the integro-differential equations resulting from the population balance model into a system of differential equations. The obtained results show, for the first time, that classical breakage and coalescence kernels described in the literature can provide very good fittings of actual industrial scale data when coupled with proper parameter estimation procedures, so that the proposed model is able to represent the available operation data with good accuracy at distinct conditions. Particularly, it is also shown that the use of a top condenser for control of the reactor temperature can lead to changes of parameters that control the particle size distributions.
Accuracy of Measuring Rebar Strain in Concrete Using a Diffractometer for Residual Stress Analysis
Authors: Yasue Ayumu , Kawakami Mayu , Kobayashi Kensuke , Kim Junho , Miyazu Yuji , Nishio Yuhei , Mukai Tomohisa , Morooka Satoshi , Kanematsu Manabu
Published: May 2023

Neutron diffraction is a noncontact method that can measure the rebar strain inside concrete. In this method, rebar strain and stress are calculated using the diffraction profile of neutrons irradiated during a specific time period. In general, measurement accuracy improves with the length of the measurement time. However, in previous studies, the measurement time was determined empirically, which makes the accuracy and reliability of the measurement results unclear. In this study, the relationship between the measurement time and the measurement standard deviation was examined for reinforced concrete specimens under different conditions. The aim was to clarify the accuracy of the measurement of rebar stress using the neutron diffraction method. It was found that if the optical setup of the neutron diffractometer and the conditions of the specimen are the same, there is a unique relationship between the diffraction intensity and the rebar stress standard deviation. Furthermore, using this unique relationship, this paper proposes a method for determining the measurement time from the allowable accuracy of the rebar stress, which ensures the accuracy of the neutron diffraction method.
Hybrid Leadership in African Neo-Pentecostalism
Authors: Orogun Daniel O.
Published: May 2023

Across institutions and professions, leadership philosophy is considered the driver of organisational culture in achieving the overall objectives. Although individuals’ leadership cultures may vary, intersections and hybridity are present in many spheres, including that of some African Neo-Pentecostal Leaders (ANPLs). To underscore the hybrid leadership of the ANPLs, qualitative research was conducted, with data collected from 20 participants through one-on-one interviews across Africa. The results revealed the hybridisation of African Neo-Pentecostal leadership styles vis-a-vis African monarchical and religious traditions based on four variables: accountability, ownership and succession plan, healing, and gerontocracy. The results also revealed the benefits and challenges of their hybridity. Subsequently, using Jesus’s model of servant leadership to analyse the four variables, the benefits and challenges were critiqued. The analysis identified culture, African spiritual worldview, gerontocracy, and submissive theology as factors influencing such syncretic or hybrid practices. The analysis also delineated the theological, socio-economic, legal, and transgenerational implications of such hybrid leadership. This article concludes with cautionary remarks regarding boundaries, servant leadership, and morality.
Spirit, Word and Love: Insights of Pietro Rossano towards a Mystical Theology of the Christian-Muslim Dialogue
Authors: Osto Giulio
Published: May 2023

Pietro Rossano was an important protagonist of interreligious dialogue in the 20th century, serving for more than twenty years in the Vatican office in charge of this field. His experience and writings show how dialogue has many anthropological and theological dimensions and, because we are talking about an event between religious people, dialogue also has a mystical dimension. Rossano was very involved in the dialogue with Muslims, both in the theoretical study and in some meetings, like the one in Tripoli in 1976 and others. Spirit, Word and Love can be seen as the three keys to interpreting Rossano’s testimony in relation to the Bible, to dialogical thought—in particular, Ferdinand Ebner—and to the Christian theology of dialogue.
The Catholic Church’s Formula for Adaptation to Modernity and Contemporary Models of Secularism
Authors: Musiewicz Piotr
Published: May 2023

The aim of this paper is to assess the Catholic Church’s formula for adaptation to Modernity from the perspectives of contemporary models of Secularism. For this purpose, it will use the typology of Jacques Berlinerblau, with five models of Secularism (Separationism, Disestablishment, Laïcité, Accommodationism, and Atheistic Secularism). For some of these models, the Church’s formula will be found—to different extents—agreeable, while other models will regard it as hardly acceptable. The assessment will proceed by defining Modernity, outlining the Catholic Church’s formula for adaptation to modern ideas, and discussing five different models of Secularism.
A Comprehensive Multibody Model of a Collaborative Robot to Support Model-Based Health Management
Authors: Raviola Andrea , Guida Roberto , Bertolino Antonio Carlo , De Martin Andrea , Mauro Stefano , Sorli Massimo
Published: May 2023

Digital models of industrial and collaborative manipulators are widely used for several applications, such as power-efficient trajectory definition, human–robot cooperation safety improvement, and prognostics and health management (PHM) algorithm development. Currently, models with simplified joints present in the literature have been used to evaluate robot macroscopic behavior. However, they are not suitable for the in-depth analyses required by those activities, such as PHM, which demand a punctual description of each subcomponent. This paper aims to fill this gap by presenting a high-fidelity multibody model of a UR5 collaborative robot, containing an accurate description of its full dynamics, electric motors, and gearboxes. Harmonic reducers were described through a translational equivalent lumped parameter model, allowing each constitutive element of the reducer to have its decoupled dynamics and mating forces through non-linear penalty contact models. To conclude, both the mathematical model and the real robot on a test rig were tested with a set of different trajectories. The experimental results highlight the ability of the proposed model to accurately replicate joint angular rotation, speed and torques in a wide range of operational scenarios. This research provides the basis for the development of a model-based PHM-oriented framework to carry out detailed and advanced analyses on the effects of manipulator degradations.
Aircraft-LBDet: Multi-Task Aircraft Detection with Landmark and Bounding Box Detection
Authors: Ma Yihang , Zhou Deyun , He Yuting , Zhao Liangjin , Cheng Peirui , Li Hao , Chen Kaiqiang
Published: May 2023

With the rapid development of artificial intelligence and computer vision, deep learning has become widely used for aircraft detection. However, aircraft detection is still a challenging task due to the small target size and dense arrangement of aircraft and the complex backgrounds in remote sensing images. Existing remote sensing aircraft detection methods were mainly designed based on algorithms employed in general object detection methods. However, these methods either tend to ignore the key structure and size information of aircraft targets or have poor detection effects on densely distributed aircraft targets. In this paper, we propose a novel multi-task aircraft detection algorithm. Firstly, a multi-task joint training method is proposed, which provides richer semantic structure features for bounding box localization through landmark detection. Secondly, a multi-task inference algorithm is introduced that utilizes landmarks to provide additional supervision for bounding box NMS (non-maximum suppression) filtering, effectively reducing false positives. Finally, a novel loss function is proposed as a constrained optimization between bounding boxes and landmarks, which further improves aircraft detection accuracy. Experiments on the UCAS-AOD dataset demonstrated the state-of-the-art precision and efficiency of our proposed method compared to existing approaches. Furthermore, our ablation study revealed that the incorporation of our designed modules could significantly enhance network performance.
Exploring the Impact of Grain-for-Green Program on Trade-Offs and Synergies among Ecosystem Services in West Liao River Basin, China
Authors: Xu Yang , Yang Dawen , Tang Lihua , Qiao Zixu , Ma Long , Chen Min
Published: May 2023

Natural ecosystems of the West Liao River basin (WLRB) in northeast China have been damaged by both natural and human factors from the 1990s. Since 2000, China’s Grain-for-Green Program (GFGP) has been widely adopted with the aim of improving ecosystem services. An accurate evaluation of the eco-hydrological effects for policy implementation is essential to provide references for further restoration of ecosystem services. This study quantified and characterized the ecosystem services and their trade-offs/synergies using models and statistical methods in the WLRB from 1990 to 2020. Moreover, the impact of key drivers on ecosystem services was evaluated by the difference-in-differences model. Among them, the study mainly investigated how GFGP affects ecosystem services. The results confirmed that the water yield, carbon sequestration, habitat quality, and total ecosystem service of the WLRB decreased in the pre-GFGP period (1990–2000). However, this tendency was reversed in the regions where the GFGP was implemented during the period of 2001–2020. Furthermore, a synergistic relationship was shown among carbon sequestration, soil conservation, and habitat quality. Additionally, there were tradeoffs between water yield and the other three ecosystem services, especially in mountain areas. The GFGP could restore carbon sequestration, habitat quality, and total ecosystem services by 1.3%, 2.1%, and 0.6%, respectively. Nevertheless, GFCP may enlarge the tradeoff and imbalance between water yield and habitat quality. Results highlight the need for the governance of ecosystem protection and suggest natural restoration in the mountain area for maintaining water yield and helping ecosystem restoration. Timely adjustment of the policy implementation areas is the key to improving and balancing multiple ecosystem services in the future.
Economic Fruit Forest Classification Based on Improved U-Net Model in UAV Multispectral Imagery
Authors: Wu Chunxiao , Jia Wei , Yang Jianyu , Zhang Tingting , Dai Anjin , Zhou Han
Published: May 2023

Economic fruit forest is an important part of Chinese agriculture with high economic value and ecological benefits. Using UAV multi-spectral images to research the classification of economic fruit forests based on deep learning is of great significance for accurately understanding the distribution and scale of fruit forests and the status quo of national economic fruit forest resources. Based on the multi-spectral remote sensing images of UAV, this paper constructed semantic segmentation data of economic fruit forests, conducted a comparative study on the classification and identification of economic fruit forests of FCN, SegNet, and U-Net classic semantic segmentation models, and proposed an improved ISDU-Net model. The recognition accuracies of the ISDU-Net were 87.73%, 70.68%, 78.69%, and 0.84, respectively, in terms of pixel accuracy, average intersection ratio, frequency weight intersection ratio, and Kappa coefficient, which were 3.19%, 8.90%, and 4.51% higher than the original U-Net model. The results showed that the improved ISDU-Net could effectively improve the learning ability of the model, perform better in the prediction of short sample categories, obtain a higher classification accuracy of fruit forest crops, and provide a new idea for the research on accurate fruit forest identification.
Three Dimensional Shape Reconstruction via Polarization Imaging and Deep Learning
Authors: Wu Xianyu , Li Penghao , Zhang Xin , Chen Jiangtao , Huang Feng
Published: May 2023

Deep-learning-based polarization 3D imaging techniques, which train networks in a data-driven manner, are capable of estimating a target’s surface normal distribution under passive lighting conditions. However, existing methods have limitations in restoring target texture details and accurately estimating surface normals. Information loss can occur in the fine-textured areas of the target during the reconstruction process, which can result in inaccurate normal estimation and reduce the overall reconstruction accuracy. The proposed method enables extraction of more comprehensive information, mitigates the loss of texture information during object reconstruction, enhances the accuracy of surface normal estimation, and facilitates more comprehensive and precise reconstruction of objects. The proposed networks optimize the polarization representation input by utilizing the Stokes-vector-based parameter, in addition to separated specular and diffuse reflection components. This approach reduces the impact of background noise, extracts more relevant polarization features of the target, and provides more accurate cues for restoration of surface normals. Experiments are performed using both the DeepSfP dataset and newly collected data. The results show that the proposed model can provide more accurate surface normal estimates. Compared to the UNet architecture-based method, the mean angular error is reduced by 19%, calculation time is reduced by 62%, and the model size is reduced by 11%.
LEAN: Real-Time Analysis of Resistance Training Using Wearable Computing
Authors: Coates William , Wahlström Johan
Published: May 2023

The use of fitness apps to track physical exercise has been proven to promote weight loss and increase physical activity. The most popular forms of exercise are cardiovascular training and resistance training. The overwhelming majority of cardio tracking apps automatically track and analyse outdoor activity with relative ease. In contrast, nearly all commercially available resistance tracking apps only record trivial data, such as the exercise weight and repetition number via manual user input, a level of functionality not far from that of a pen and paper. This paper presents LEAN, a resistance training app and exercise analysis (EA) system for both the iPhone and Apple Watch. The app provides form analysis using machine learning, automatic repetition counting in real time, and other important but seldom studied exercise metrics, such as range of motion on a per-repetition level and average repetition time. All features are implemented using lightweight inference methods that enable real-time feedback on resource-constrained devices. The performance evaluation includes a user survey and benchmarking of all data science features using both ground-truth data from complementary modalities and comparisons with commercial apps.