bluuebunny/crossref_metadata_2025 huggingface dataset:
Manganese Sulfate Nanocomposites Fabricated by Hot-Melt Extrusion for Chemodynamic Therapy of Colorectal Cancer
Authors: Jeong Da In , Kim Sungyun , Koo Ja Seong , Lee Song Yi , Kim Minju , Kim Kwang Yeol , Azad Md Obyedul Kalam , Karmakar Mrinmoy , Chu Seongnam , Chae Byung-Jo , Kang Wie-Soo , Cho Hyun-Jong
Published: June 2023

The development of metal salts-based nanocomposites is highly desired for the Fenton or Fenton-like reaction-based chemodynamic therapy of cancer. Manganese sulfate (MnSO4)-dispersed nanoparticles (NPs) were fabricated with a hot-melt extrusion (HME) system for the chemodynamic therapy of colorectal cancer in this study. MnSO4 was homogeneously distributed in polyethylene glycol (PEG) 6000 (as a hydrophilic polymer) with the aid of surfactants (Span 80 and Tween 80) by HME processing. Nano-size distribution was achieved after dispersing the pulverized extrudate of MnSO4-based composite in the aqueous media. The distribution of MnSO4 in HME extrudate and the interactions between MnSO4 and pharmaceutical additives were elucidated by Fourier-transform infrared, X-ray diffractometry, X-ray photoelectron spectroscopy, and scanning electron microscopy analyses. Hydroxyl radical generation efficiency by the Fenton-like chemistry capability of Mn2+ ion was also confirmed by catalytic assays. By using the intrinsic H2O2 in cancer cells, MnSO4 NPs provided an elevated cellular reactive oxygen species level, apoptosis induction capability, and antiproliferation efficiency. The designed HME-processed MnSO4 formulation can be efficiently used for the chemodynamic therapy of colorectal cancer.
Exosomes as an Emerging Plasmid Delivery Vehicle for Gene Therapy
Authors: Wallen Margaret , Aqil Farrukh , Spencer Wendy , Gupta Ramesh C.
Published: June 2023

Despite its introduction more than three decades ago, gene therapy has fallen short of its expected potential for the treatment of a broad spectrum of diseases and continues to lack widespread clinical use. The fundamental limitation in clinical translatability of this therapeutic modality has always been an effective delivery system that circumvents degradation of the therapeutic nucleic acids, ensuring they reach the intended disease target. Plasmid DNA (pDNA) for the purpose of introducing exogenous genes presents an additional challenge due to its size and potential immunogenicity. Current pDNA methods include naked pDNA accompanied by electroporation or ultrasound, liposomes, other nanoparticles, and cell-penetrating peptides, to name a few. While the topic of numerous reviews, each of these methods has its own unique set of limitations, side effects, and efficacy concerns. In this review, we highlight emerging uses of exosomes for the delivery of pDNA for gene therapy. We specifically focus on bovine milk and colostrum-derived exosomes as a nano-delivery “platform”. Milk/colostrum represents an abundant, scalable, and cost-effective natural source of exosomes that can be loaded with nucleic acids for targeted delivery to a variety of tissue types in the body. These nanoparticles can be functionalized and loaded with pDNA for the exogenous expression of genes to target a wide variety of disease phenotypes, overcoming many of the limitations of current gene therapy delivery techniques.
Favorable Effect of Pemafibrate on Insulin Resistance and β-Cell Function in Subjects with Type 2 Diabetes and Hypertriglyceridemia: A Subanalysis of the PARM-T2D Study
Authors: Nomoto Hiroshi , Kito Kenichi , Iesaka Hiroshi , Oe Yuki , Kawata Shinichiro , Tsuchida Kazuhisa , Yanagiya Shingo , Miya Aika , Kameda Hiraku , Cho Kyu Yong , Sakuma Ichiro , Manda Naoki , Nakamura Akinobu , Atsumi Tatsuya
Published: June 2023

Pemafibrate, a novel selective peroxisome proliferator-activated receptor modulator, has beneficial effects on lipid metabolism. However, its effects on glucose metabolism in individuals with type 2 diabetes (T2DM) remain to be fully clarified. This was a subanalysis of the PARM-T2D study, a multicenter prospective observational study on the use of pemafibrate versus conventional therapy for 52 weeks in subjects with T2DM complicated with hypertriglyceridemia. The subanalysis included participants who did not change their treatment for diabetes and did not receive insulin or insulin secretagogues during the study period. Changes in glucose metabolism markers, including homeostatic model assessment (HOMA2) scores and disposition index, were assessed. A total of 279 participants (141 in the pemafibrate group; 138 in the control group) met the criteria for the subanalysis. There were no significant changes in HbA1c during the 52-week study period in both groups. However, the pemafibrate group showed significant improvements versus the control group for insulin resistance assessed by HOMA2-R (−0.15 versus 0.08; estimated treatment difference −0.23 (95% confidence interval −0.44, −0.02); p = 0.03) and maintenance of β-cell function assessed by disposition index (0.015 versus −0.023; estimated treatment difference 0.037 (95% confidence interval 0.005, 0.069); p = 0.02). Correlation analyses showed that improvements in HOMA2-R and disposition index were significantly associated with improvements in lipid abnormalities and γ-glutamyl transpeptidase. In conclusion, pemafibrate reduced insulin resistance and maintained β-cell function in subjects with T2DM and hypertriglyceridemia, presumably by improving lipid profiles and lipid-related hepatocyte stress.
Recent Developments in PET and SPECT Radiotracers as Radiopharmaceuticals for Hypoxia Tumors
Authors: Nguyen Anh Thu , Kim Hee-Kwon
Published: June 2023

Hypoxia, a deficiency in the levels of oxygen, is a common feature of most solid tumors and induces many characteristics of cancer. Hypoxia is associated with metastases and strong resistance to radio- and chemotherapy, and can decrease the accuracy of cancer prognosis. Non-invasive imaging methods such as positron emission tomography (PET) and single-photon emission computed tomography (SPECT) using hypoxia-targeting radiopharmaceuticals have been used for the detection and therapy of tumor hypoxia. Nitroimidazoles are bioreducible moieties that can be selectively reduced under hypoxic conditions covalently bind to intracellular macromolecules, and are trapped within hypoxic cells and tissues. Recently, there has been a strong motivation to develop PET and SPECT radiotracers as radiopharmaceuticals containing nitroimidazole moieties for the visualization and treatment of hypoxic tumors. In this review, we summarize the development of some novel PET and SPECT radiotracers as radiopharmaceuticals containing nitroimidazoles, as well as their physicochemical properties, in vitro cellular uptake values, in vivo biodistribution, and PET/SPECT imaging results.
Optimization and Characterization of Novel ALCAM-Targeting Antibody Fragments for Transepithelial Delivery
Authors: Bauer Aline , Klassa Sven , Herbst Anja , Maccioni Cristina , Abhamon William , Segueni Noria , Kaluzhny Yulia , Hunter Morgan , Halin Cornelia
Published: June 2023

Activated leukocyte cell adhesion molecule (ALCAM) is a cell adhesion molecule that supports T cell activation, leukocyte migration, and (lymph)angiogenesis and has been shown to contribute to the pathology of various immune-mediated disorders, including asthma and corneal graft rejection. In contrast to monoclonal antibodies (mAbs) targeting ALCAM’s T cell expressed binding partner CD6, no ALCAM-targeting mAbs have thus far entered clinical development. This is likely linked with the broad expression of ALCAM on many different cell types, which increases the risk of eliciting unwanted treatment-induced side effects upon systemic mAb application. Targeting ALCAM in surface-exposed tissues, such as the lungs or the cornea, by a topical application could circumvent this issue. Here, we report the development of various stability- and affinity-improved anti-ALCAM mAb fragments with cross-species reactivity towards mouse, rat, monkey, and human ALCAM. Fragments generated in either mono- or bivalent formats potently blocked ALCAM–CD6 interactions in a competition ELISA, but only bivalent fragments efficiently inhibited ALCAM–ALCAM interactions in a leukocyte transmigration assay. The different fragments displayed a clear size-dependence in their ability to penetrate the human corneal epithelium. Furthermore, intranasal delivery of anti-ALCAM fragments reduced leukocyte infiltration in a mouse model of asthma, confirming ALCAM as a target for topical application in the lungs.
Effect of Process Parameters on Thermal and Mechanical Properties of Filament Wound Polymer-Based Composite Pipes
Authors: Srebrenkoska Sara , Kochoski Filip , Srebrenkoska Vineta , Risteska Svetlana , Kotynia Renata
Published: June 2023

The aim of this study was to investigate the mechanical and thermal properties of composite pipes based on epoxy resin and glass fibers produced by filament winding (FW) technology. Epoxy resins are widely used polymers in FW composite structures. The thermal characterization of the neat epoxy resin, curing, and post-curing characteristics for the determination of polymerization and glass transition temperature was performed, which is important for the mechanical properties of polymer composite pipes. In the present work, the applicability of the full factorial experimental design in predicting the hoop tensile and compressive strengths of glass fiber/epoxy resin composite pipes was investigated. The composite pipes in accordance with the 23 full factorial experimental design by using of three parameters and two levels of variation were prepared. The winding speed of the composites was taken to be the first factor, the second was the fiber tension, and the third was winding angle. To approximate the response, i.e., the mechanical properties of the composite pipes within the study domain, the first-order linear model with the interaction was used. The influence of each individual factor to the response function was established, as well as the influence of the interaction of the two and three factors. Additionally, those results were completed with the thermal characterization of the polymer composite pipes. From received results from mechanical and thermal characterization, it was concluded that the properties of composite specimens were highly affected by the analyzed parameters in filament winding technology. It was found that the estimated first-degree regression equation with the interaction gave a very good approximation of the experimental results of the hoop tensile and the compressive strengths of composite pipes within the study domain.
Thickness-Dependent Light Transmittance and Temperature Rise in Dual-Cure Bioactive and Light-Cure Bulk-Fill Composite Resins
Authors: Alharbi Reema , Alharbi Eid , Al-Haj Ali Sanaa N. , Farah Ra’fat I.
Published: June 2023

This study aimed to assess the light transmittance (T) and temperature increase through different increments of dual-cure bioactive bulk-fill restorative material (ACTIVA), light-cure bulk-fill, and conventional composite resin materials. Cylindrical specimens with a diameter of 8 mm and heights of 1, 2, 3, and 4 mm of ACTIVA, Tetric-N-Ceram bulk-fill (TBF), Filtek One bulk-fill (FBF), and Filtek Z250 (FZ) (n = 6 per group, 96 in total) were light-cured with a visible blue low-intensity light-emitting diode (LED) (650–800 mW/cm2 irradiance). T, and the temperature increase, were measured using an optical power meter and a digital thermometer during curing. The T mean values ranged between 0.012 and 0.239 (76.02 to 98.81% light attenuation), while the temperature rise mean values ranged between 9.02 and 20.80 °C. The parameters, including material type (partial eta squared (ηp2) = 0.284, p < 0.0001), thickness (ηp2 = 0.284, p < 0.0001), and their interaction (ηp2 = 0.185, p = 0.047), significantly affected the T values, whereas only the material type (ηp2 = 0.352, p = 0.047) affected the temperature rise values. The T and temperature rise mean values were highest in ACTIVA increments of 1-mm increments, in particular, showing the highest T mean values, followed by similar increments of TBF. A significantly higher T was found in 1-mm increments compared to thicker increments for all materials (p < 0.0001), and a significant positive correlation existed between T and temperature rise values (r = 0.348, p = 0.001). These findings show that the bioactive material ACTIVA and TBF allow for better T than the other materials, with ACTIVA recording a higher temperature rise. However, the large light attenuation observed for all materials, irrespective of thickness, suggests that curing in more than one location with a low-intensity LED is necessary to optimize the curing process. Furthermore, incremental filling of bulk-fill materials using a low intensity LED could be beneficial.
Transparent Figures: Researching and Preserving Objects of Cellulose Acetate
Authors: Kemper Benjamin , Herm Christoph
Published: June 2023

In 1935, the Deutsches Hygiene-Museum Dresden began to produce the so-called Transparent Figures, which became icons of the 20th century. This study aims to explore the effects of external agents such as humidity and temperature on the aging mechanism of the materials of the Transparent Figures and to slow it down through preventive measures. The focus is on cellulose acetate (CA), which was used for the outer skin of the Transparent Figures. The original objects were investigated using FTIR, Raman, and GC–MS. On some Transparent Figures, liquid leakage of additives occurs when the relative humidity rises above 50–60% RH and is accompanied by a release of acetic acid. Based on these findings, original CA used for the production of the Transparent Figures was artificially re-aged at 70 °C while varying the relative humidity. The specimens were analyzed with colorimetry and GC–MS. Additive content, degree of substitution and degree of polymerization were determined. The results showed that the degradation is slowed down at 30% RH compared to aging at 50% RH or 70% RH. Thus, lowering the relative humidity seems effective in slowing down the degradation of the CA of the Transparent Figures. A relative humidity of 30% RH and a temperature of 15 °C are recommended.
Ribociclib Hybrid Lipid–Polymer Nanoparticle Preparation and Characterization for Cancer Treatment
Authors: Al-Shdefat Ramadan , Hailat Mohammad , Alshogran Osama Y. , Abu Dayyih Wael , Gardouh Ahmed , Al Meanazel Osaid
Published: June 2023

Ribociclib is a newly approved orally administered drug for breast cancer. This study aimed to prepare, characterize, and evaluate hybrid lipid–polymer nanoparticles (PLNs) of ribociclib to enhance its in vitro dissolution rate, pharmacokinetics, and anticancer efficacy. Ribociclib-loaded PLNs were prepared by solvent evaporation using the Box–Behnken design to optimize formulation variables. Particle size, entrapment efficiency, differential scanning calorimetry (DSC), thermogravimetric analysis (TGA), Fourier transform infrared spectroscopy (FTIR), atomic force microscopy (AFM), in vitro release cytotoxicity, molecular modeling, and pharmacokinetic studies were examined. The ribociclib-loaded PLN (formula 1, F1) was optimized in terms of particle size (266.9 ± 4.61 nm) and encapsulation efficiency (59.1 ± 2.57 mg/mL). DSC and thermogravimetric characterization showed the absence of a crystalline structure in the prepared PLNs, confirmed by FTIR, and showed no interactions between the components and the drug. AFM showed well-dispersed heterogeneously shaped nanoparticles. The in vitro release profile exhibited significant results for the optimized formula, reaching 100% at 600 and 90 min at pH 6.8 and 1.2, respectively. The low IC50 obtained by the 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyl-2H-tetrazolium bromide (MTT) assay suggests that optimized PLN might serve as an effective delivery vehicle for cancer treatment, especially breast and lung cancer. Molecular modeling revealed several hydrogen bonds. A pharmacokinetic study in rats showed that the ribociclib formula had a 6.5-fold increase in maximum concentration (Cmax) and a 5.6-fold increase in area under the curve (AUC). Regarding the everted intestinal sac absorption, formula 1 increased ribociclib penetration relative to the physical combination and pure medication. In conclusion, optimized PLNs with enhanced physicochemical and cytotoxic properties and improved pharmacokinetic parameters were successfully prepared.
A Novel Dynamic Process Monitoring Algorithm: Dynamic Orthonormal Subspace Analysis
Authors: Hao Weichen , Lu Shan , Lou Zhijiang , Wang Yonghui , Jin Xin , Deprizon Syamsunur
Published: June 2023

Orthonormal subspace analysis (OSA) is proposed for handling the subspace decomposition issue and the principal component selection issue in traditional key performance indicator (KPI)-related process monitoring methods such as partial least squares (PLS) and canonical correlation analysis (CCA). However, it is not appropriate to apply the static OSA algorithm to a dynamic process since OSA pays no attention to the auto-correlation relationships in variables. Therefore, a novel dynamic OSA (DOSA) algorithm is proposed to capture the auto-correlative behavior of process variables on the basis of monitoring KPIs accurately. This study also discusses whether it is necessary to expand the dimension of both the process variables matrix and the KPI matrix in DOSA. The test results in a mathematical model and the Tennessee Eastman (TE) process show that DOSA can address the dynamic issue and retain the advantages of OSA.
Faith in a Religiously Ambivalent Age: The Negative Phenomena of Hostility, Violence, and Revenge
Authors: Alvis Jason W. , Staudigl Michael , Louchakova-Schwartz Olga
Published: June 2023

Today, the so-called “decline of religion” in the Global North needs to be considered in light of the simultaneous “return of religion” in the Global South [...]
A New Method for Continuous Track Monitoring in Regions of Differential Land Subsidence Rate Using the Integration of PS-InSAR and SBAS-InSAR
Authors: Zhang Peng , Qian Xiaqing , Guo Shuangfeng , Wang Bikai , Xia Jin , Zheng Xiaohui
Published: June 2023

It is difficult for single time-series Interferometric Synthetic Aperture Radar (InSAR) processing to guarantee the accuracy and efficiency of continuous track monitoring in regions of differential subsidence. This paper proposes a new method, integrating the Persistent Scatterer InSAR (PS-InSAR) with high precision and the Small Baseline Subset InSAR (SBAS-InSAR) with high efficiency for continuous track monitoring in regions of differential land subsidence rates. Based on PS-InSAR processing, the Iterative Self-Organizing Data Analysis Techniques (ISODATA) algorithm is adopted to search the boundary of differential subsidence between slow and fast subsidence rates. The SBAS-InSAR processing with high frequency is used to continuously track and monitor the regions with fast subsidence rates incorporating original data and newly added data into small data sets from time to time according to SAR data updating, the monitoring results of which are obtained from the weighted average of the added results of SBAS-InSAR processing and the original results of PS-InSAR processing. The impact of SAR data updating on the slow subsidence rate region is so weak that it is not necessary to simultaneously update the corresponding monitoring results to improve global efficiency. If the slow subsidence rates region must be remeasured in relation to its previous subsidence, or the proportion of new data capacity alters compared with the original data set, PS-InSAR processing is used to analyze the whole monitoring region again using the complete data set. A case study performed on the west region of the Qinhuai River in Nanjing, China, indicates that the density of monitoring points in the fast-subsidence region is greatly improved, increasing from 711 points/km2 to 2760 points/km2—an increase of 288.2%.
Multi-Scale Similarity Guidance Few-Shot Network for Ship Segmentation in SAR Images
Authors: Li Ruimin , Li Jichao , Gou Shuiping , Lu Haofan , Mao Shasha , Guo Zhang
Published: June 2023

Target detection and segmentation in synthetic aperture radar (SAR) images are vital steps for many remote sensing applications. In the era of data-driven deep learning, this task is extremely challenging due to the limited labeled data. Few-shot learning has the ability to learn quickly from a few samples with supervised information. Inspired by this, a few-shot learning framework named MSG-FN is proposed to solve the segmentation of ship targets in heterologous SAR images with few annotated samples. The proposed MSG-FN adopts a dual-branch network consisting of a support branch and a query branch. The support branch is used to extract features with an encoder, and the query branch uses a U-shaped encoder–decoder structure to segment the target in the query image. The encoder of each branch is composed of well-designed residual blocks combined with filter response normalization to capture robust and domain-independent features. A multi-scale similarity guidance module is proposed to improve the scale adaptability of detection by applying hand-on-hand guidance of support features to query features of various scales. In addition, a SAR dataset named SARShip-4i is built to evaluate the proposed MSG-FN, and the experimental results show that the proposed method achieves superior segmentation results compared with the state-of-the-art.
New Synthetic Partial Discharge Calibrator for Qualification of Partial Discharge Analyzers for Insulation Diagnosis of HVDC and HVAC Grids
Authors: Khamlichi Abderrahim , Garnacho Fernando , Simón Pascual
Published: June 2023

A synthetic partial discharge (PD) calibrator has been developed to qualify PD analyzers used for insulation diagnosis of HVAC and HVDC grids including cable systems, AIS, GIS, GIL, power transformers, and HVDC converters. PD analyzers that use high-frequency current transformers (HFCT) can be qualified by means of the metrological and diagnosis tests arranged in this calibrator. This synthetic PD calibrator can reproduce PD pulse trains of the same sequence as actual representative defects (cavity, surface, floating potential, corona, SF6 protrusion, SF6 jumping particles, bubbles in oil, etc.) acquired in HV equipment in service or by means of measurements made in HV laboratory test cells. The diagnostic capabilities and PD measurement errors of the PD analyzers using HFCT sensors can be determined. A new time parameter, “PD Time”, associated with any arbitrary PD current pulse i(t) is introduced for calibration purposes. It is defined as the equivalent width of a rectangular PD pulse with the same charge value and amplitude as the actual PD current pulse. The synthetic PD calibrator consists of a pulse generator that operates on a current loop matched to 50 Ω impedance to avoid unwanted reflections. The injected current is measured by a reference measurement system built into the PD calibrator that uses two HFCT sensors to ensure that the current signal is the same at the input and output of the calibration cage where the HFCT of the PD analyzer is being calibrated. Signal reconstruction of the HFCT output signal to achieve the input signal is achieved by applying state variable theory using the transfer impedance of the HFCT sensor in the frequency domain.
A 3D Composited Flexible Sensor Based on Percolative Nanoparticle Arrays to Discriminate Coupled Pressure and Strain
Authors: Ye Linqi , Li Xinlei , Yi Xinle , Tang Pan , Chen Minrui
Published: June 2023

Flexible mechanical sensors based on nanomaterials operate on a deformation-response mechanism, making it challenging to discern different types of mechanical stimuli such as pressure and strain. Therefore, these sensors are susceptible to significant mechanical interference. Here, we introduce a multifunctional flexible sensor capable of discriminating coupled pressure and strain without cross-interference. Our design involves an elastic cantilever fixed on the pillar of the flexible main substrate, creating a three-dimensional (3D) substrate, and two percolative nanoparticle (NP) arrays are deposited on the cantilever and main substrate, respectively, as the sensing materials. The 3D flexible substrate could confine pressure/strain loading exclusively on the cantilever or main substrate, resulting in independent responses of the two nanoparticle arrays with no cross-interference. Benefitting from the quantum transport in nanoparticle arrays, our sensors demonstrate an exceptional sensitivity, enabling discrimination of subtle strains down to 1.34 × 10−4. Furthermore, the suspended cantilever with one movable end can enhance the pressure perception of the NP array, exhibiting a high sensitivity of −0.223 kPa−1 and an ultrahigh resolution of 4.24 Pa. This flexible sensor with multifunctional design will provide inspiration for the development of flexible mechanical sensors and the advancement of decoupling strategies.
Experimental and Computer Simulation Studies on Badminton Racquet Strings
Authors: Suwannachote Narakorn , Imjai Thanongsak , Wattanapanich Chirawat , Kefyalew Fetih , Garcia Reyes , Aosai Pakjira
Published: June 2023

This study investigates experimentally, numerically, and analytically the performance of different string materials (Kevlar, synthetic gut, natural gut, and polyester) on badminton racquets. Vibration and impact tests with a shuttlecock were performed using a racquet frame made of carbon graphite mixed with epoxy resin. Different string tensions were considered in the tests (20, 22, 24, 28, 30, and 34 lb), as well as different hitting locations on the racquet frame. The results show that, as the diameter of the strings increased, the elasticity of the string decreased from 0.529 to 0.447 for diameters ranging from 0.62 to 0.70 mm. Subsequently, a badminton racquet and shuttlecock were modeled using SolidWorks2018® software (version 26), and a maximum displacement was applied to the ball to simulate an impact on the string bed. The natural frequency, maximum deformation and maximum stress were calculated analytically, and a finite element analysis was also performed using ANSYS2022 R2® software (version 22.2). The analytical and numerical results from ANSYS® showed good agreement (within 5% accuracy). The results of the study show that the natural frequency of a racquet with Kevlar strings was significantly higher than that of racquets with synthetic gut, natural gut, or polyester string materials. Specifically, the natural frequency of a racquet made of carbon graphite and epoxy resin was 23.0%, 30.7%, and 36.2% higher than that of racquets with synthetic gut, natural gut, and polyester string material, respectively. On the basis of this finding, Kevlar was chosen as the preferred material for badminton racquets strings, and a parametric analysis was then conducted. The study showed that slightly lowering the tension of the off-centered strings had a minimal effect on the von Mises stress distribution of the ball and string bed. In addition to investigating string materials, this study also examined the effects of pull and diameter variations of racquet strings on vibrations during impact. This study contributes to the understanding of the role of racquet and strings in badminton, and it also provides new insights into the factors that can affect performance in the sport. By analyzing the performance of different string materials and examining the effects of pull and diameter variations of racquet strings, this study provides valuable information for players and manufacturers looking to optimize their equipment for maximum performance.
Semi-Blind Receivers for Two-Hop MIMO Relay Systems with a Combined TSTF-MSMKron Coding
Authors: de Pinho Pablo H. U. , Couras Maria de F. K. B. , Favier Gérard , de Almeida André L. F. , da Costa João Paulo J.
Published: June 2023

Due to the increase in the number of mobile stations in recent years, cooperative relaying systems have emerged as a promising technique for improving the quality of fifth-generation (5G) wireless networks with an extension of the coverage area. In this paper, we propose a two-hop orthogonal frequency division multiplexing and code-division multiple-access (OFDM-CDMA) multiple-input multiple-output (MIMO) relay system, which combines, both at the source and relay nodes, a tensor space–time–frequency (TSTF) coding with a multiple symbol matrices Kronecker product (MSMKron), called TSTF-MSMKron coding, aiming to increase the diversity gain. It is first established that the signals received at the relay and the destination satisfy generalized Tucker models whose core tensors are the coding tensors. Assuming the coding tensors are known at both nodes, tensor models are exploited to derive two semi-blind receivers, composed of two steps, to jointly estimate symbol matrices and individual channels. Necessary conditions for parameter identifiability with each receiver are established. Extensive Monte Carlo simulation results are provided to show the impact of design parameters on the symbol error rate (SER) performance, using the zero-forcing (ZF) receiver. Next, Monte Carlo simulations illustrate the effectiveness of the proposed TSTF-MSMKron coding and semi-blind receivers, highlighting the benefit of exploiting the new coding to increase the diversity gain.
Research on the Visualization of Railway Signal Operation and Maintenance Based on BIM + GIS
Authors: Liu Yanming , Lin Haixiang , Zhao Zhengxiang , Bai Wansheng , Hu Nana
Published: June 2023

To adapt to the “fine” and “extensive” management characteristics of railway signal equipment operation and maintenance, achieving real-time and interactive monitoring of signal equipment operation status, and developing an integrated approach to equipment operation and maintenance, this paper takes a comprehensive management perspective. To create a lightweight BIM model, the Garland folding algorithm is utilized to simplify the IFC file format. Building on this approach, the data are divided based on building component division standards to obtain separate files containing geometric information and semantic attributes. The geometric information files are converted to a 3D Tiles format, combining BIM semantic attributes with semantic attribute files through an intermediate format. Dynamic data management is achieved by setting the octree space index structure in combination with a view-frustum culling algorithm. Then, the 3D Tiles target file is imported into the Cesium platform, and Node.js is used to achieve three-dimensional visualization of railway signal operation and maintenance. The proposed method is verified using an inbound signal as an example to assess its feasibility. The results demonstrate the potential of the proposed method to achieve stable integration between BIM equipment full lifecycle maintenance and GIS geographical space display. Railway signal equipment is endowed with comprehensive one-click information query functions for equipment positioning and spatial analysis, improving the efficiency and scientific decision-making level of equipment operation and maintenance.
Socio-Cultural Contexts for Normative Gender Violence: Pathways of Risk for Intimate Partner Violence
Authors: Delaney Aimée X.
Published: June 2023

Violent means of social control at both the micro- and macro-levels create norms of violence within societies that spill over into multiple domains as a reaction to a socio-cultural context of normative violence. This adverse effect may stem from normalized violence within both families and communities and contribute to intimate partner violence (IPV). From a contextual-ecological model, this becomes a victimizing effect. This study tests the theoretical premise of Norms of Violence in order to reconceptualize IPV as a victimizing effect within a larger community framework. Using data from the International Dating Violence Study, this study explores the interaction of violent socialization at both the familial and communal level, controlling for other conditions that could contribute to a normative standard of violence. The results indicate the presence of polyvictimization: nations in which youth experience the highest levels of violent socialization from both their families and communities tend to have higher levels of IPV victimization. This relationship is stronger when social structures support normative violence as conflict resolution. For females, this relationship is further exasperated. Societies across the world, including those in which the context of violence is most prominent, can work towards eradicating the negative impacts of gender violence for individuals, their families, and the communities in which they live by addressing the normalization of violence.
Developing an Optimal Ensemble Model to Estimate Building Demolition Waste Generation Rate
Authors: Cha Gi-Wook , Hong Won-Hwa , Choi Se-Hyu , Kim Young-Chan
Published: June 2023

Smart management of construction and demolition (C&D) waste is imperative, and researchers have implemented machine learning for estimating waste generation. In Korea, the management of demolition waste (DW) is important due to old buildings, and it is necessary to predict the amount of DW to manage it. Thus, this study employed decision tree (DT)-based ensemble models (i.e., random forest—RF, extremely randomized trees—ET, gradient boosting machine—GBM), and extreme gradient boost—XGboost) based on data characteristics (i.e., small datasets with categorical inputs) to predict the demolition waste generation rate (DWGR) of buildings in urban redevelopment areas. As a result of the study, the RF and GBM algorithms showed better prediction performance than the ET and XGboost algorithms. Especially, RF (6 features, 450 estimators; mean, 1169.94 kg·m−2) and GBM (4 features, 300 estimators; mean, 1166.25 kg·m−2) yielded the top predictive performances. In addition, feature importance affecting DWGR was found to have a significant impact on the order of gross floor area (GFA) > location > roof material > wall material. The straightforward collection of features used here can facilitate benchmarking as a decision-making tool in demolition waste management plans for industry stakeholders and policy makers. Therefore, in the future, it is required to improve the predictive performance of the model by updating additional data and building a reliable dataset.
Effects of Structured and Unstructured Physical Activity on Gross Motor Skills in Preschool Students to Promote Sustainability in the Physical Education Classroom
Authors: Abusleme-Allimant Rosita , Hurtado-Almonacid Juan , Reyes-Amigo Tomás , Yáñez-Sepúlveda Rodrigo , Cortés-Roco Guillermo , Arroyo-Jofré Patricio , Páez-Herrera Jacqueline
Published: June 2023

Basic motor skills are the basis for the formation and execution of movements that will be utilized throughout an individual’s lifetime, thus promoting their involvement and continued participation in physical activity. (1) Background: This study aimed to assess the impact of a physical education program, based on a model of structured and unstructured physical activity, on the motor development of kindergarten students at a private school for girls in Con Con, Chile. (2) Methods: Thirty-four female students were divided into two groups, one participated in structured physical activity and the other in unstructured physical activity, and both groups then underwent a 12-week intervention. The Test of Gross Motor Development-2 (TGMD-2) was utilized to evaluate motor behaviors, and the data were analyzed using descriptive statistics and relative frequencies. The Wilcoxon test was used to compare differences at the beginning and end of the intervention, while the Whitney–Mann U test was used to determine differences between groups. (3) Results: Statistically significant differences were observed in the overall group when comparing the start and end of the intervention for total motor development (p = 0.001), locomotion skills (p = 0.018), and object control (p = 0.001). However, no significant differences were found between the two types of intervention activities. (4) Conclusions: This study suggests that both structured and unstructured physical activity interventions enhance overall motor development, particularly in the dimensions of locomotion and object control. The results indicate that unstructured physical activity interventions may lead to better outcomes in motor development tests compared to structured interventions.
Bean Spread Enriched with Spelt as a Novel Source of Bioactive Peptides with Potential Anti-Metabolic Syndrome Properties
Authors: Grdeń Paula , Jakubczyk Anna
Published: June 2023

Bean spreads enriched with 10, 20, or 30% of spelt grain were analyzed in the study as a novel product with high nutraceutical potential. The spreads were hydrolyzed in vitro in gastrointestinal conditions. The highest peptide content was noted after the last step of hydrolysis in spread enriched with 10% of spelt grain (1.64 mg/mL). The fraction with molecular mass < 3.0 kDa obtained from this hydrolyzate was also characterized by the highest peptide content (1.50 mg/mL) and the highest antioxidant properties. The highest value of IC50 against ABTS•+ was 0.078 mg/mL. The highest value of the Fe2+ chelating activity was 0.056 mg/mL. Moreover, the trials show inhibitory activity against enzymes involved in the development of metabolic syndrome (with IC50 values of 0.072 mg/mL for α-amylase inhibition, 0.028 mg/mL for α-glucosidase, and 0.059 mg/mL ACE—angiotensin-converting enzyme). The fraction with the highest properties was separated using Sephadex G10 and three fractions were obtained. The first and third fractions were characterized by the highest properties. These peptide fractions were identified using the LC–MS/MS technique. The following amino acid sequences were obtained from bean (Phaseolus vulgaris) protein: LPIESKWY, FALVAPVGSEPKA, NSILPIESKPWY, RLTDDTEDSMGRA, and KKVELEEEVDDWV, and those isolated from spelt protein had sequences FPQPQPFQ, QPQQPQQPFPQP, WPQQPQQPFPQPQQ, QSQQPQQPFPQPQQ, and QFQPQQPQQPFPQP. The study indicates that the bean spread enriched with 10 % of spelt grain may be used as a new product with special nutritional properties.
Exploring Undergraduate Students’ Digital Multitasking in Class: An Empirical Study in China
Authors: Wang Qikai , Sun Fei , Wang Xiaochen , Gao Yang
Published: June 2023

UN’s 2030 Agenda for Sustainable Development highlights the crucial role of education in securing a promising future for humanity, especially in today’s digital era. However, the prevalence of smartphones has fostered an increase in students’ usage and subsequent digital multitasking tendencies, posing a significant threat to education process, especially in higher education. To gain further insights into this phenomenon, this exploratory descriptive study surveyed 519 students from China university to investigate the magnitude of students’ digital multitasking, motivation behind digital multitasking, and beliefs about reducing phone use. The study found that, (1) despite many respondents reporting the existence of phone limits, no possible reduction in phone use frequency was observed; (2) digital multitasking was positively correlated with mobile phone dependence and non-study motivation; (3) while a majority (86.71%) students expressed their intent to reduce digital multitasking, they were mostly hesitant to follow the moderate or strict rules on phone use; (4) no clear consensus was established (49.90% vs. 50.10%) regarding whether schools should pose more restrictions to encourage such reduction. Our research provides further insights into students’ digital multitasking to improve learning quality and sustainable education.
Teaching Multimodal Literacies with Digital Technologies and Augmented Reality: A Cluster Analysis of Australian Teachers’ TPACK
Authors: Tan Lynde , Thomson Russell , Koh Joyce Hwee Ling , Chik Alice
Published: June 2023

Despite the proliferation of augmented reality (AR) apps, Australian primary teachers have yet to use them widely for the teaching of multimodal literacies. Conceptualising teachers’ knowledge of using digital technologies to teach multimodal literacies as a form of technological pedagogical content knowledge or TPACK(ML), this study examined teacher differences through a cluster analysis of survey responses collected from a sample of 142 Australian primary school teachers. Two distinct clusters of teachers were derived. The first cluster with lower TPACK(ML) comprised teachers with lower self-reported confidence in facilitating new cultures of learning that are participatory and technology-driven in nature. In their open-ended survey responses, these teachers shared their unfamiliarity with AR, as well as concerns about their personal technical competency and how AR could be integrated into the curriculum. The second cluster of teachers rated themselves higher in TPACK(ML) and in how they used technology to support language learning pedagogies. They were able to propose different pedagogical strategies to engage students’ multimodal literacies meaningfully with AR in their open-ended survey responses. The implications of the study’s findings were discussed, and recommendations were proposed for designing and sustaining differentiated forms of teacher professional development for teaching multimodal literacies with emergent digital technologies.
What Is the Possibility of Commercializing African Indigenous Crops?—The Case of Ethiopia
Authors: Ochieng Haggai Kennedy , Cho Yeonsung
Published: June 2023

Africa has a rich diversity of indigenous crops whose commercial and economic value have been underutilized. Eragrostis tef is a crop with great potential for production and commercialization in Ethiopia. The nutritional and curative values of tef are recognized not only in Ethiopia but also in the global market. Economically, tef and its value chain are a source of livelihood for more than six million small-scale Ethiopian farmers. Its large-scale commercialization has the potential to transform the livelihoods of many impoverished people. However, little research has been conducted to assess Ethiopian consumers’ attitudes toward tef products. The objective of this study is to understand product attributes that would affect consumer purchasing decisions. The study is based on pasta and baby food, the two most important products that could be made out of tef. The attributes analyzed are the inclusion of tef in the products, price, organic certification, and brand origin. The study relies on survey data that were randomly collected from 318 respondents and secondary data from the central statistical agency. The attributes were subjected to conjoint analysis, a method that is commonly used in consumer market research with hypothetical products consisting of multiple attributes to understand customers’ preference for different components of the product. The results of the analysis show that the inclusion of tef flour in the products is the most important factor consumers would consider when buying pasta or baby food. Further, consumers are interested in brand origin as they have a strong inclination to buy domestic brands and prefer products with organic certification. In the case of baby food, Ethiopians are likely to buy products containing more tef flour, packaged in sealed can rather than a paper bag, and concentrated in iron or protein. However, they are less willing to pay a premium even for products they perceive to be of greater utility. The preference for domestic brands and processed food with tef implies that there is opportunity for local brands to grow if they can understand and satisfy consumer expectations. It also means that consumers are interested in business practices that promote sustainable livelihoods. Overall, these findings suggest the potential for commercialization of tef products in Ethiopia and that the development of its value chain could combat nutritional deficiencies in the country.
The Hydrogen Energy Infrastructure Location Selection Model: A Hybrid Fuzzy Decision-Making Approach
Authors: Li Long , Wang Shuqi , Zhang Shengxi , Liu Ding , Ma Shengbin
Published: June 2023

Actively responding to climate change and accelerating the realization of carbon emission reduction are the common goals of global sustainable development. Hydrogen energy, as a “zero carbon emission” secondary energy, is playing an increasingly important role on the world energy stage. Hydrogen energy infrastructure (focusing on hydrogen refueling stations) is a key infrastructure in the transition to a hydrogen economy. However, the indicators that influence the location selection of hydrogen refueling stations (HRSs) are specific and have complex relationships, and current research still lacks a comprehensive analysis of its location selection decision-making indicators. Based on this research gap, this study proposes a hybrid fuzzy decision-making approach to determine the relationship and degree of influence between indicators. Firstly, this study identified 18 decision indicators that influence location selection from four dimensions: policy, economy, society, and environment. Subsequently, semi-structured interviews were used to initially assess the relationship between indicators. Finally, by using interpretive structural modeling and the fuzzy decision-making trial and evaluation laboratory (ISM-FDEMATEL), a 7-level structural model is established, which clarifies the complex relationship between indicators and the individual attributes of each indicator. The research results show that the indicators of the policy dimension have a more significant influencing degree than the other three dimensions and have a greater influence on the entire indicator system; the indicators of the economic dimension have a higher influencing degree and are easily influenced by other indicators. These findings will benefit policymakers and practitioners to prioritize and manage their resources effectively and efficiently and provide a valuable reference for advancing the sustainable development of the infrastructure for hydrogen energy.
Bibliometric Analysis and Visualization of Global Research on Employee Engagement
Authors: Kişi Nermin
Published: June 2023

Over the past few years, employee engagement has gained significant attention due to its positive impact on various organizational indicators such as job satisfaction, commitment, performance, productivity, and profitability. The aim of this study is to conduct a thorough analysis of existing research on employee engagement. To accomplish this aim, 786 articles concerning employee engagement indexed in the Web of Science (WoS) between the years 2002 and 2022 were analyzed using bibliometric analysis methods. The VOSviewer program was employed to conduct citation, co-citation, co-authorship, and co-occurrence analysis. The study identified the leading countries, institutions, authors, journals, and scientific publications on the topic and shed light on current research patterns and future research avenues. The results demonstrate that the most productive country is the USA, the most productive institution is the University of Louisville, the most productive author is Brad Shuck, and the most productive journal is Sustainability. The current trend of research involves exploring the antecedents (e.g., corporate social responsibility, perceived organizational support, organizational culture, work–family balance) and consequences (e.g., job satisfaction, organizational commitment, employee performance, organizational citizenship behavior) of employee engagement. However, further research is necessary to explore the impact of various leadership styles, digital technologies, and new ways of working on employee engagement.