bluuebunny/crossref_metadata_2025 huggingface dataset:
Experimental Study on the Size Effect of Compression-Shear Fracture Characteristics of Rock-like Materials Containing Open Cracks
Authors: Li Zixuan , Huang Shiyuan , Lv Chuan , Liao Cheng , Li Xudong , Du Hongbo
Published: December 2024

Understanding fracture mechanics in rock-like materials under compression-shear condition is critical for predicting failure mechanisms in various engineering applications, such as mining and civil infrastructure. This study conducted uniaxial compression tests on cubic gypsum specimens of varying sizes (side lengths of 75 mm, 100 mm, 125 mm, and 150 mm) and crack inclination angles (ranging from 0° to 90°) to assess the size effect on fracture behavior. The effects of specimen size and crack inclination on fracture characteristics, including strength, failure mode, and crack initiation angle, were analyzed based on the maximum tangential stress (MTS) criterion and the generalized maximum tangential stress (GMTS) criterion, with relative critical size (α) and relative openness (η). Results indicate that the crack initiation angle increases with crack inclination, while compressive strength decreases significantly with increasing specimen size. For example, at a 30° crack inclination, the peak compressive strength of 75 mm specimens was 2.53 MPa, whereas that of 150 mm specimens decreased to 1.05 MPa. Crack type and failure mode were found to be primarily influenced by crack inclination rather than specimen size. The experimental crack initiation angle aligned with the theoretical crack initiation angle at inclinations below 50° but diverged at higher inclinations. A linear relationship was established between rc and specimen size (L) under compression-shear stress, expressed as rc=−0.01772L+3.54648; larger specimens exhibited increased tangential stress at the crack tip, leading to earlier macroscopic crack formation, while rc decreased as specimen size increased. These results underscore the significant influence of size on fracture behavior in quasi-brittle materials under compression-shear stress, providing essential insights for predicting material failure in rock-like structures.
Smart In-Process Inspection in Human–Cyber–Physical Manufacturing Systems: A Research Proposal on Human–Automation Symbiosis and Its Prospects
Authors: Wang Shu , Jiao Roger J.
Published: December 2024

This positioning paper explores integrating smart in-process inspection and human–automation symbiosis within human–cyber–physical manufacturing systems. As manufacturing environments evolve with increased automation and digitalization, the synergy between human operators and intelligent systems becomes vital for optimizing production performance. Human–automation symbiosis, a vision widely endorsed as the future of human–automation research, emphasizes closer partnership and mutually beneficial collaboration between human and automation agents. In addition, to maintain high product quality and enable the in-time feedback of process issues for advanced manufacturing, in-process inspection is an efficient strategy that manufacturers adopt. In this regard, this paper outlines a research framework combining smart in-process inspection and human–automation symbiosis, enabling real-time defect identification and process optimization with cognitive intelligence. Smart in-process inspection studies the effective automation of real-time inspection and defect mitigation using data-driven technologies and intelligent agents to foster adaptability in complex production environments. Concurrently, human–automation symbiosis focuses on achieving a symbiotic human–automation relationship through cognitive task allocation and behavioral nudges to enhance human–automation collaboration. It promotes a human-centered manufacturing paradigm by integrating the studies in advanced manufacturing systems, cognitive engineering, and human–automation interaction. This paper examines critical technical challenges, including defect inspection and mitigation, human cognition modeling for adaptive task allocation, and manufacturing nudging design and personalization. A research roadmap detailing the technical solutions to these challenges is proposed.
Order Reduction Adaptive Current Tracking Control with Proportional–Integral-Type Filter for MAGLEV Applications
Authors: Park Jae Kyung , Kim Dongpin , Kim Yonghun , Kim Seok-Kyoon
Published: December 2024

The proposed adaptive controller robustly tracks the coil current to its desired trajectory, regulating the target position of the magnetic levitation (MAGLEV) systems under the modeling errors and load variations. This paper makes the following two contributions. First, the order reduction proportional–integral filter replaces the conventional low-pass filter for the current measurement without the signal distortions in the high-frequency operation modes. Second, the proposed technique consists of the proportional-type feedback control and parameter adaptation mechanism estimating the DC component of the uncertain disturbances, involving only one design parameter. The practical advantages of the proposed technique are validated by the numerical simulations based on MATLAB/Simulink (ver. 2017b) considering the nonlinear dynamics of the MAGLEV systems and modeling errors.
Building Up a Hexacopper(II)-Pyrazolate/Oxamate Magnetic Complex with Rare Ethane-1,2-Dioxide (–OCH2CH2O–) as a Bridge Between Copper(II) Units
Authors: Oliveira Willian X. C. , Araújo Victor G. , Pinheiro Carlos B. , Julve Miguel , Pereira Cynthia L. M.
Published: December 2024

The synthesis, structural, and magnetic characterization of a novel neutral copper(II) hexanuclear complex [Cu6(en)4(OCH2CH2O)2(pyox)4]·3eg·en·12H2O (1) was investigated [en = ethylenediamine, eg = ethylene glycol, and H2pyox = 4-(1H-pyrazole-4-yl)phenylene-N-oxamic acid]. The crystal structure of 1, obtained by the single-crystal X-ray diffraction technique, revealed that the hexacopper(II) complex is built from two linear tricopper(II) complex subunits. Each subunit contains two [Cu(en)]2+ moieties connected to a [Cu(OCH2CH2O)] unit by two pyox2− ligands acting as μ-κN:κN′ bridges, as well as a [OCH2CH2O]2− ligand, which is ultimately found in the μ3-κO,O′:κO:κO′ coordination form. The subunits are connected via the amide portion of the pyox2− ligand, linked to copper atoms in the other subunit. They occupy the apical coordination positions, leading the trinuclear copper(II) segments to be almost perpendicular. The structural, chemical, and spectroscopic characterizations evidenced that ethylene glycol acted both as a solvent and a reactant upon deprotonation, forming the –OCH2CH2O– ligand due to the basic crystallization environment. DC magnetic studies revealed a strong antiferromagnetic interaction between the copper atoms within the trinuclear subunits, influenced by alkoxide and pyrazolate bridging ligands. Our findings offer new insights into the structural and magnetic properties of copper(II) complexes, enhancing the understanding of metal–ligand interactions in supramolecular chemistry.
Metallacrown of CeIIICuII5: Synthesis, Structural Characterization and Insights for Nanoparticles
Authors: Tempesta Jésio D. , Paiva Fábio Faria , Ferreira Leonildo A. , da Silva Rafaela M. R. , Botelho Luckerman D. G. , Rosa Iara M. L. , Candido Caio Cesar , Gomes Angelo Marcio , Nunes Wallace C. , Guedes Guilherme P. , Marinho Maria Vanda
Published: December 2024

The heterobimetallic 15-MC-5 metallacrown of formula [CeCu5(5mpzHA)5(NO3)(H2O)7]·2NO3·7H2O, designated MC-Ce, was synthesized using 5-methyl-2-pyrazinehydroxamic acid (5mpzHA) as a linker, reacting with CeIII and CuII salts under mild conditions. Single-crystal X-ray diffraction analysis reveals a crown-like [Cu5Ce(5mpzHA)5] core, characteristic of a 15-MC-5 system, with five CuII atoms at the rim of the crown and the CeIII ion occupying the dome of the crown, with water molecules, oxygen atoms and one nitrate anion filling the nine-coordination sphere around the CeIII ion, which exhibits a distorted spherical tricapped trigonal prism geometry. The thermogravimetric analysis evidences successive mass losses due to the removal of water molecules and decomposition of the structure after 217 °C, whereas the PXRD analysis of the thermal decomposition residue reveals the presence of copper and copper/cerium oxide particles. These nanocomposite materials were also synthesized using the metallacrown MC-Ce under a hydrothermal method in the presence of multi-walled carbon nanotubes (MWCNTs), affording insights that this metallacrown can act as a source precursor for the synthesis of these mixed cerium/copper oxide nanomaterials. The experimental χMT value in MC-Ce at room temperature is 3.175 cm3 mol−1 K, which is higher than the calculated one for one magnetically isolated CeIII plus five CuII ions, probably due to the antiferromagnetic interactions among CuII ions within the metallacrown hoop plus the thermal depopulation of JZ sublevels of CeIII ground state (5/2), which exhibit a small splitting under the anisotropic ligand field effects. The χMT decreases continuously until it reaches the value of 0.80 cm3 mol−1 K at 10 K, reinforcing the presence of intramolecular antiferromagnetic interactions.
Infinite Dimensional Maximal Torus Revisited
Authors: Bouleryah Mohamed Lemine H. , Ali Akram , Laurian-Ioan Piscoran
Published: December 2024

Let Tm be the maximal torus of a set of m×m unitary diagonal matrices. Let T be a collection of all maps that rigidly rotate every circle of latitude of the sphere with a fixed angle. T is also a maximal torus, and we shall prove in this paper that T is the topological limit inf of Tm.
Optimization of Fresh Food Logistics Routes for Heterogeneous Fleets in Segmented Transshipment Mode
Authors: Sun Haoqing , He Manhui , Gai Yanbing , Cao Jinghao
Published: December 2024

To address the challenges of environmental impact and distribution efficiency in fresh food logistics, a segmented transshipment model involving the coordinated operation of gasoline and electric vehicles is proposed. The model minimizes total distribution costs by considering transportation, refrigeration, product damage, carbon emissions, and penalties for time window violations. The k-means++ clustering algorithm is used to determine transshipment points, while an improved adaptive multi-objective ant colony optimization algorithm (IAMACO) is employed to optimize the delivery routes for the heterogeneous fleet. The case study results show that compared to the traditional model, the segmented transshipment mode reduces the total distribution costs, carbon emissions, and time window penalty costs by 22.13%, 28.32%, and 41.08%, respectively, providing a viable solution for fresh food logistics companies to achieve sustainable and efficient growth.
Lower Extremity Amputations Among Patients with Diabetes Mellitus: A Five-Year Analysis in a Clinical Hospital in Bucharest, Romania
Authors: Rusu Emilia , Catrina Eduard Lucian , Brezean Iulian , Georgescu Ana Maria , Vișinescu Alexandra , Georgescu Daniel Andrei Vlad , Mioara Chivu Anda , Dobra Grațiela Maria , Verde Ioana , Stanciu Silviu , Coșoreanu Andrada , Rusu Florin , Nica Andra , Mihai Doina Andrada , Radulian Gabriela
Published: December 2024

Background and Objectives: Lower extremity amputations (LEAs) represent a significant health problem. The aim of our study was to analyse the type and trends of diabetes-related LEAs in patients hospitalized in one surgical centre in Bucharest between 2018 and 2021. The second aim was to assess the impact of the COVID-19 pandemic on the trends of LEAs. Materials and Methods: We performed a retrospective analysis of all lower limb amputations performed between 01 January 2018 and 31 December 2021 in the Department of Surgery, Dr. I. Cantacuzino Clinical Hospital, Bucharest, Romania. We evaluated demographic parameters, type of LEA, the level, the laterality and trends of the amputations, the main aetiologies leading to amputation, and the length of hospitalization. Results: During the study period, 1711 patients underwent an LEA. The mean age was 64.53 ± 9.93 years, 71.6% (n = 1481) being over 60. Men outnumbered women by a ratio of 3.62:1. The most frequent interventions were ray amputations in 41.2% (n = 705) of patients; then, there were amputations of the toe (20.4%, n = 349), transtibial amputations (18.9%, n = 323), transfemoral amputations (10.6%, n = 181), and midfoot amputations (9%, n = 154). Wet gangrene was the most frequent aetiology (40.9%, n = 699). The total number of LEAs decreased constantly throughout the analysed period, such that 616 LEAs were performed in 2018 and 323 LEAs in 2021 (p < 0.001). There was a statistically significant increase in the rate of major LEAs in the pandemic vs. pre-pandemic period (37% vs. 24.4%, p < 0.001). Conclusions: In our study, the total number of LEAs decreased throughout the analysed period, but there was an increase in the rate of major LEAs in the pandemic vs. pre-pandemic period. Being over 65 years of age, leucocytosis, sepsis at presentation, and diabetic polyneuropathy were important risk factors for the necessity of LEA in complicated diabetes-related foot disease.
Energy-Resolved Mass Spectrometry and Mid-Infrared Spectroscopy for Purity Assessment of a Synthetic Peptide Cyclised by Intramolecular Huisgen Click Chemistry
Authors: Maroto Alicia , Boqué Ricard , Jeanne Dit Fouque Dany , Memboeuf Antony
Published: December 2024

Cyclic peptides have higher stability and better properties as therapeutic agents than their linear peptide analogues. Consequently, intramolecular click chemistry is becoming an increasingly popular method for the synthesis of cyclic peptides from their isomeric linear peptides. However, assessing the purity of these cyclic peptides by mass spectrometry is a significant challenge, as the linear and cyclic peptides have identical masses. In this paper, we have evaluated the analytical capabilities of energy-resolved mass spectrometry (ER MS) and mid-infrared microscopy (IR) to address this challenge. On the one hand, mixtures of both peptides were subjected to collision-induced dissociation tandem mass spectrometry (CID MS/MS) experiments in an ion trap mass spectrometer at several excitation energies. Two different calibration models were used: a univariate model (at a single excitation voltage) and a multivariate model (using multiple excitation voltages). The multivariate model demonstrated slightly enhanced analytical performance, which can be attributed to more effective signal averaging when multiple excitation voltages are considered. On the other hand, IR microscopy was used for the quantification of the relative amount of linear peptide. This was achieved through univariate calibration, based on the absorbance of an alkyne band specific to the linear peptide, and through Partial Least Squares (PLS) multivariate calibration. The PLS calibration model demonstrated superior performance in comparison to univariate calibration, indicating that consideration of the full IR spectrum is preferable to focusing on the specific peak of the linear peptide. The advantage of IR microscopy is that it is linear across the entire working interval, from linear peptide molar ratios of 0 (equivalent to pure cyclic peptide) up to 1 (pure linear peptide). In contrast, the ER MS calibration models exhibited linearity only up to 0.3 linear peptide molar ratio. However, ER MS showed better performances in terms of the limit of detection, intermediate precision and the root-mean-square-error of calibration. Therefore, ER MS is the optimal choice for the detection and quantification of the lowest relative amounts of linear peptides.
Correlation Between Maximal Eccentric and Isometric Multi-Joint Lower-Extremity Strength and Vertical Jumping Performance in Young Adults
Authors: Park Joonsun , Weeks Cassidy , Thompson Brennan J. , Louder Talin
Published: December 2024

Maximal eccentric (MES) and isometric (MIS) muscle strength may enhance vertical jump performance by facilitating preloading and reducing energy loss during the eccentric (ECC) phase of the stretch-shortening cycle (SSC). However, the contributions of ECC and isometric (ISO) strength to the countermovement (CMJ) and depth jump (DJ) remain unclear due to variability in assessment methods (e.g., dynamometry, isometric mid-thigh pull) and the limited range of metrics examined in prior research. The aim of this study was to assess correlations between multi-joint lower extremity MES and MIS, obtained using a seated multi-joint isokinetic dynamometer, and 13 vertical ground reaction force (GRF) measures derived from the performance of three maximal effort DJs and CMJs. Twenty-five healthy young adults participated in this study (age = 21.9 ± 2.9 years). Pearson r correlation coefficients were used to assess the statistical significance (α = 0.05) of the relationships between absolute (N) and body mass normalized (BN) maximal strength measures and vertical jumping metrics. Moderate-to-strong positive correlations were identified between MES and MIS with broad performance metrics in CMJ and DJ, including reactive strength index (r = 0.45–0.53, p < 0.05), modified reactive strength index (r = 0.41–0.62, p < 0.05), and jump height (r = 0.59–0.75, p < 0.05). Moderate-to-strong positive correlations were also observed between MES and MIS with CON work (r = 0.58–0.71, p < 0.05) and CON peak power (r = 0.44–0.71, p < 0.05) for both the CMJ and DJ. In contrast, moderate-to-strong negative correlations were observed between MES and MIS with ECC work (r = 0.42–0.62, p < 0.005) and ECC peak power (r = 0.45–0.60, p < 0.05). These findings suggest that enhanced neuromuscular efficiency and joint stiffness in stronger musculature reduce energy absorption during the eccentric phase, minimizing mechanical deformation and preserving elastic energy for concentric propulsion. Combined, MES and MIS optimize force application, energy utilization, and control, which are crucial for maximizing jump height. These findings underscore the role of MES and MIS in influencing jumping performance across both the ECC and CON phases of the SSC. This insight is valuable for practitioners designing training programs aimed at improving vertical jumping ability.
Sex Differences in the Anxiolytic Properties of Common Cannabis Terpenes, Linalool and β-Myrcene, in Mice
Authors: Wagner Jasmin K. , Gambell Ella , Gibbons Tucker , Martin Thomas J. , Kaplan Joshua S.
Published: December 2024

Volatile organic compounds, colloquially referred to as “terpenes”, have been proposed to impact the therapeutic qualities that are traditionally ascribed to cannabis. However, the contribution of these terpenes in anxiety, at relevant levels and exposure methods common with cannabis use, is lacking empirical assessment. We tested the anxiolytic properties of two prominent cannabis terpenes, linalool and β-myrcene, in male and female mice using short duration vapor pulls to model human inhalation when combusting flower or vaping cannabis oil. We observed sex differences in the locomotor effects in the open field and anxiolytic properties in the elevated plus maze of these terpenes that depended on their exposure characteristics. Both linalool and β-myrcene had anxiolytic effects in female mice when delivered in discrete vapor pulls over the course of 30 min. In male mice, only a single vapor hit containing linalool or β-myrcene had anxiolytic effects. The combination of sub-effective levels of linalool and the phytocannabinoid, cannabidiol (CBD), had synergistic anxiolytic effects in females, but these entourage effects between CBD and terpenes were absent with β-myrcene for females and for either terpene in males. Together, our findings reveal sex differences in the anxiolytic properties of common cannabis terpenes and highlight the potential benefits of unique combinations of CBD and terpenes in expanding the therapeutic dose window.
FODMAP Diet in Celiac Disease and Gluten-Related Disorders
Authors: Usai Satta Paolo , Mocci Giammarco , Lai Mariantonia
Published: December 2024

Background: Individuals with celiac disease (CD) often report the persistence of gastrointestinal symptoms despite adherence to a gluten-free diet (GFD). A diet rich in fermentable oligo-, di-, and monosaccharides and polyols (FODMAPs) could cause symptoms in CD on a GFD, and conversely a low-FODMAP diet could positively influence the therapeutic management of CD and non-celiac gluten sensitivity (NCGS). The aim of this review was to explore the hypothetical impact of the FODMAD diet and the low-FODMAP diet (LFD) in CD and gluten-related disorders. Methods: A complete online search for FODMAP related to CD, NCGS, and the GFD was carried out using the Pubmed, Medline, and Cochrane databases. Results: Indeed, an LFD could successfully provide symptom relief in GFD-treated CD patients. Fructans, typical components of FODMAPs, have been associated with digestive symptoms in NCGS, and an LFD could improve the clinical picture. According to some evidence, an LFD could also improve the psychological status both in celiac patients on a GFD and in NCGS. However, an LFD should not have a significant impact on gut microbiota. Conclusions: Recent evidence supports the role of FODMAP restriction in CD patients with persistent symptoms on a GFD and in decreasing gastrointestinal disturbances in NCGS, although the GFD still represents the first-line therapy.
Biopolymeric Inhalable Dry Powders for Pulmonary Drug Delivery
Authors: Maloney Norcross Sara E. , Levin Leanna P. K. , Hickey Anthony J. , Hill David B.
Published: December 2024

Natural and synthetic biopolymers are gaining popularity in the development of inhaled drug formulations. Their highly tunable properties and ability to sustain drug release allow for the incorporation of attributes not achieved in dry powder inhaler formulations composed only of micronized drugs, standard excipients, and/or carriers. There are multiple physiological barriers to the penetration of inhaled drugs to the epithelial surface, such as the periciliary layer mucus mesh, pulmonary macrophages, and inflammation and mucus compositional changes resulting from respiratory diseases. Biopolymers may facilitate transport to the epithelial surface despite such barriers. A variety of categories of biopolymers have been assessed for their potential in inhaled drug formulations throughout the research literature, ranging from natural biopolymers (e.g., chitosan, alginate, hyaluronic acid) to those synthesized in a laboratory setting (e.g., polycaprolactone, poly(lactic-co-glycolic acid)) with varying structures and compositions. To date, no biopolymers have been approved as a commercial dry powder inhaler product. However, advances may be possible in the treatment of respiratory diseases and infections upon further investigation and evaluation. Herein, this review will provide a thorough foundation of reported research utilizing biopolymers in dry powder inhaler formulations. Furthermore, insight and considerations for the future development of dry powder formulations will be proposed.
Supercritical Techniques for Pharmaceutical Applications
Authors: Gallo Marta , Onida Barbara , Banchero Mauro
Published: December 2024

Supercritical fluid technology is an innovative approach that has been extensively explored in various research fields, since it offers a way to limit or replace the use of organic solvents in numerous industrial processes [...]
Latvian Healthcare Professionals’ Self-Reported Knowledge, Attitudes, and Behaviors Related to Pregnancy Prevention Program Materials for Valproate-Containing Medicines
Authors: Špoģe Milana , Kursīte Mirdza , Poplavska Elita
Published: December 2024

Background: Valproates are recognized for their significant teratogenic risks, which can lead to physical defects and developmental disorders when used during pregnancy. To mitigate these risks, the Pregnancy Prevention Program (PPP) was developed by European regulators for patients and healthcare professionals (HCPs). Despite the crucial nature of this program, the implementation of the PPP does not appear to be fully effective. This situation highlights the need for a deeper understanding of HCPs’ knowledge, attitudes, and behaviors regarding the PPP. Methods: A cross-sectional study using anonymous electronic questionnaires was conducted. The questionnaires were developed by a board of experts from eight different EU countries and were distributed among prescribers (general practitioners (GPs), neurologists, and psychiatrists) and pharmacists. Descriptive statistics were used to analyze the obtained data on participants’ knowledge, attitudes, and behaviors regarding the prescribing and dispensing of valproate-containing medicines to women of reproductive age, as well as the impact of PPP materials on their work. Results: The study results indicate that while HCPs in Latvia are generally aware of valproate teratogenic risks, significant gaps remain in the implementation of the PPP. A considerable number of both prescribers and pharmacists expressed the belief that they are not responsible for educating patients about the PPP, attributing this responsibility to other specialists. Furthermore, barriers such as a lack of time and accessible materials were identified. Conclusions: The roles and responsibilities of HCPs should be clearly defined to improve adherence to the PPP. Further research is needed to assess prescription and dispensing strategies, as well as HCPs’ attitudes toward the PPP. Additionally, re-evaluating and enhancing the accessibility of PPP materials is essential in effective risk management and better patient care.
Insights from a National Survey on Controlled Substance Diversion Practices in U.S. Hospital Pharmacies: Opportunities for Enhanced Surveillance and Compliance
Authors: Bastow Samantha S. , Borrelli Eric P. , Lucaci Julia D. , Nelkin Heather , Graves April , Hays Amanda
Published: December 2024

This study explored controlled substance (CS) diversion surveillance practices within hospital pharmacies across the United States. A survey with questions based on published CS diversion risk points was conducted in May 2024. A total of 66 participants from 31 states responded, with 54.5% from single facilities and the remaining from health systems. Most respondents were pharmacy directors, managers, or those in dedicated drug diversion roles. Over 70% have dedicated surveillance teams and use drug diversion software. Results highlight variation in practices, with larger institutions generally showing better compliance. Compliance in procurement and receiving was high for access measures; however, auditing of processes was lower. The lowest procurement compliance was in monitoring periodic automatic replacement (PAR) levels and validating orders with wholesalers. Storage practices showed high compliance in deploying cameras, but low compliance in monitoring them. Dispensing practices had high compliance for restricting CS in automated dispensing cabinets, but low incidence of witness verification during stocking. Waste and disposal practices were well-followed, but training on detecting potential signs of medication tampering was less common. The survey highlights that while strategies to prevent CS diversion exist, their implementation varies. Enhancing monitoring, auditing, and training is essential to strengthen diversion prevention efforts in hospital pharmacies.
Review on Principal and Applications of Temporal and Spatial Beam Shaping for Ultrafast Pulsed Laser
Authors: Kim Jong Hyun , Choi Hae Woon
Published: December 2024

Ultrafast or ultrashort pulsed lasers have become integral in numerous industrial applications due to their high precision, non-thermal interaction with materials, and ability to induce nonlinear absorption. These characteristics have expanded their use in microfabrication, semiconductor processing, automotive engineering, and biomedical fields. Temporal pulse shaping reduces laser pulse durations, often to shorter timescales than many physical and chemical processes, enabling greater control. Meanwhile, spatial shaping improves efficiency and precision in micro- and nanofabrication and biomedical applications. Advances in optical parametric amplifiers (OPAs) and chirped-pulse amplifiers (CPAs) have allowed for more refined temporal and spatial shaping, ensuring the preservation of high peak power while achieving ultrashort pulse durations. Additionally, spatial light modulators (SLMs) have facilitated sophisticated beam shaping, which, when combined with ultrafast lasers, supports applications like computer-generated holography and nanoscale fabrication. These developments underscore the growing utility and versatility of ultrafast lasers in both research and industrial contexts.
Backlight Imaging Based on Laser-Gated Technology
Authors: Bai Jinzhou , Zhang Hengkang , Gao Huiqin , Guo Shaogang , Wang Siyuan , Pan An
Published: December 2024

Backlight imaging refers to the process of capturing images when the light source directly enters the lens of imaging devices or against a high-brightness background, which usually suffers from degraded imaging quality caused by direct or reflected strong light. Traditional backlight imaging methods involve reducing light flux, expanding dynamic range, and utilizing avoidance angles. However, these methods only partially address the issue of backlighting, and are unable to effectively extract information from the areas overwhelmed by the backlight. To overcome these limitations, this paper reported a backlight imaging technique based on active illumination laser gated imaging technology (AILGIT), originally applied in underwater scattering imaging. Given that backlight imaging is essentially a form of scattering imaging, this technique is likely applicable to backlight scenarios. The AILGIT employs nanosecond-gated imaging components synchronized with nanosecond pulse laser illumination to spatially slice the target. This method allows the camera to capture target signals within specific slices only, which effectively suppresses ambient light and scattering interference from the medium and achieves high-contrast imaging with strong backlight suppression. Experiments obtained dynamic backlight imaging results for a vehicle with headlight on at night from a distance of 500 m, with 60 frames per second and a 4.2 by 2.8 meters’ field of view, where wheel contours and the license plate can be clearly distinguished. The result not only demonstrates the potential of AILGIT in suppressing strong backlight, but also lays the foundation for further research on laser 3D imaging and subsequent processing techniques for backlight targets.
Research Progress on the Trait of Stigma Exsertion in Rice
Authors: Guo Hongming , Liang Yuyu , Lv Jianqun , Su Xiangwen , Ren Guangjun , Gao Fangyuan
Published: December 2024

As global food demand continues to grow, enhancing rice seed-setting rate and yield has emerged as a crucial research topic. The stigma exsertion rate in rice, a pivotal determinant of the outcrossing seed-setting rate in sterility lines, is essential for facilitating the propagation and efficient seed production of hybrid rice varieties. This article reviews the research progress on stigma exertion rate in rice, systematically analyzing the latest molecular biology and genetics findings to uncover the key genes and molecular mechanisms regulating stigma exertion. Furthermore, it explores the application of molecular marker-assisted selection technology in rice breeding, aiming to optimize stigma exertion traits to enhance the stigma exertion rate and outcrossing habits of rice sterility lines. By integrating existing research outcomes, this article not only provides researchers with a theoretical foundation for a deeper understanding of the regulatory mechanisms of stigma exertion but also offers practical strategies for rice breeding practices.
Transcriptomic and Metabolomic Analyses of the Piz-t-Mediated Resistance in Rice against Magnaporthe oryzae
Authors: Choi Naeyeoung , Xu Xiao , Bai Pengfei , Liu Yanfang , Dai Shaoxing , Bernier Matthew , Lin Yun , Ning Yuese , Blakeslee Joshua J. , Wang Guo-Liang
Published: December 2024

Magnaporthe oryzae causes devastating rice blast disease, significantly impacting rice production in many countries. Among the many known resistance (R) genes, Piz-t confers broad-spectrum resistance to M. oryzae isolates and encodes a nucleotide-binding site leucine-rich repeat receptor (NLR). Although Piz-t-interacting proteins and those in the signal transduction pathway have been identified over the last decade, the Piz-t-mediated resistance has not been fully understood at the transcriptomic and metabolomic levels. In this study, we performed transcriptomic and metabolomic analyses in the Piz-t plants after inoculation with M. oryzae. The transcriptomic analysis identified a total of 15,571 differentially expressed genes (DEGs) from infected Piz-t and wild-type plants, with 2791 being Piz-t-specific. K-means clustering, GO term analysis, and KEGG enrichment pathway analyses of the total DEGs identified five groups of DEGs with distinct gene expression patterns at different time points post inoculation. GO term analysis of the 2791 Piz-t-specific DEGs revealed that pathways related to DNA organization, gene expression regulation, and cell division were highly enriched in the group, especially at early infection stages. The gene expression patterns in the transcriptomic datasets were well correlated with the metabolomic profiling. Broad-spectrum “pathway-level” metabolomic analyses indicated that terpenoid, phenylpropanoid, flavonoid, fatty acid, amino acid, glycolysis/TCA, and phenylalanine pathways were altered in the Piz-t plants after M. oryzae infection. This study offers new insights into the molecular dynamics of transcripts and metabolites in R-gene-mediated resistance against M. oryzae and provides candidates for enhancing rice blast resistance through the engineering of metabolic pathways.
Development of an Electrowetting-on-Dielectric Cellulose-Based Conductive Sensor Using Direct Inkjet Printed Silver Nanoparticles
Authors: Caro-Pérez Oriol , Roncero Maria Blanca , Casals-Terré Jasmina
Published: December 2024

In the quest for sustainable and efficient solutions for modern electronics, flexible electronic devices have garnered global attention due to their potential to revolutionize various technological applications. The manufacturing of these devices poses significant challenges, particularly regarding environmental sustainability and ease of production. A novel method employing direct inkjet printing of silver nanoparticle (npAg) ink onto cellulose nanocrystal (CNC) substrates is presented, offering a promising alternative to conventional methods. This study demonstrates the ability of CNCs to serve as a flexible and biodegradable substrate that does not require complex post-printing treatments to achieve adequate electrical performance. This method was implemented in the fabrication of an electrowetting-on-dielectric (EWOD) device, achieving circuit patterns with high resolutions and reduced resistances. The findings not only validate the use of CNCs in flexible electronic applications but also underscore the potential of advanced printing techniques to develop flexible electronics that are environmentally sustainable and technically feasible.
3D-CNN with Multi-Scale Fusion for Tree Crown Segmentation and Species Classification
Authors: Wang Jiayao , Zhen Zhen , Zhao Yuting , Ma Ye , Zhao Yinghui
Published: December 2024

Natural secondary forests play a crucial role in global ecological security, climate change mitigation, and biodiversity conservation. However, accurately delineating individual tree crowns and identifying tree species in dense natural secondary forests remains a challenge. This study combines deep learning with traditional image segmentation methods to improve individual tree crown detection and species classification. The approach utilizes hyperspectral, unmanned aerial vehicle laser scanning data, and ground survey data from Maoershan Forest Farm in Heilongjiang Province, China. The study consists of two main processes: (1) combining semantic segmentation algorithms (U-Net and Deeplab V3 Plus) with watershed transform (WTS) for tree crown detection (U-WTS and D-WTS algorithms); (2) resampling the original images to different pixel densities (16 × 16, 32 × 32, and 64 × 64 pixels) and inputting them into five 3D-CNN models (ResNet10, ResNet18, ResNet34, ResNet50, VGG16). For tree species classification, the MSFB combined with the CNN models were used. The results show that the U-WTS algorithm achieved a recall of 0.809, precision of 0.885, and an F-score of 0.845. ResNet18 with a pixel density of 64 × 64 pixels achieved the highest overall accuracy (OA) of 0.916, an improvement of 0.049 over the original images. After incorporating MSFB, the OA improved by approximately 0.04 across all models, with only a 6% increase in model parameters. Notably, the floating-point operations (FLOPs) of ResNet18 + MSFB were only one-eighth of those of ResNet18 with 64 × 64 pixels, while achieving similar accuracy (OA: 0.912 vs. 0.916). This framework offers a scalable solution for large-scale tree species distribution mapping and forest resource inventories.
A Lightweight Transformer-Based Spatiotemporal Analysis Prediction Algorithm for High-Dimensional Meteorological Data
Authors: Tan Yinghao , Wu Junfeng , Liu Yihang , Shen Shiyu , Xu Xia , Pan Bin
Published: December 2024

High-dimensional meteorological data offer a comprehensive overview of meteorological conditions. Nevertheless, predicting regional high-dimensional meteorological data poses challenges due to the vast scale and rapid changes. Apart from slow conventional numerical weather prediction methods, recently developed deep learning methods often fail to fully integrate spatial information of the high-dimensional data and require a significant amount of computational resources. This paper presents the spatiotemporal analysis fitting prediction algorithm (SA-Fit), an approximation algorithm for regional high-dimensional meteorological data prediction. SA-Fit proposes two key designs to achieve efficient prediction of the high-dimensional data. SA-Fit introduces a lightweight Transformer-based spatiotemporal analysis network to encode spatiotemporal information, which can integrate the interaction information between different coordinates in the data. Furthermore, SA-Fit introduces explicit functions with a lasso penalty to fit variations in high-dimensional meteorological data, achieving the prediction of a large amount of data with minimal prediction values. We performed experiments using the ERA5 dataset from the Shanghai and Xi’an regions. The experimental results show that SA-Fit is comparable to other advanced deep learning prediction methods in overall prediction performance. SA-Fit shortens training time and significantly reduces model parameters while using the Transformer structure to ensure prediction accuracy.
Food-Related Risks: To What Extent Are Married Jordanian Women (Non-Pregnant, Pregnant and Postpartum) Knowledgeable About These Risks and Their Corresponding Practices?
Authors: Al-Maseimi Ola D. , Elsahoryi Nour A. , Alhaj Omar A. , Ahmad Leena , Abbas Muna M. , Zurkieh Suzan
Published: December 2024

Food safety is paramount, especially for vulnerable groups like pregnant and postpartum women. In this cross-sectional study, Jordanian women in different maternal states—pregnant, postpartum, and non-pregnant—were examined for their knowledge and habits regarding food safety. An online survey with 350 respondents yielded information on the participants’ opinions about food safety, personal hygiene, food storage, shopping habits, knowledge of cross-contamination, and handling of baby formula. According to the findings, many participants exhibited poor knowledge (53.7–65.2%) and practices (39.4–50%) related to food safety, with no significant differences in whether or not they were pregnant. Sociodemographic characteristics, including age and information sources, impacted postpartum women’s knowledge and practices about food safety. These findings highlight the importance of food safety education and awareness programs, particularly for pregnant and postpartum women, to lower the risk of foodborne infections during this critical period.
Concept and Design of Cutting Tools for Osseodensification in Implant Dentistry
Authors: Isaev Alexander , Isaeva Maria , Yanushevich Oleg , Krikheli Natella , Kramar Olga , Tsitsiashvili Aleksandr , Grigoriev Sergey , Sotova Catherine , Peretyagin Pavel
Published: December 2024

Osseodensification is an innovative surgical instrumentation technique based on additive (non-cutting) drilling using special burs. It is known from the literature, that the osseodensification burs should operate in a clockwise direction to drill holes and in a counterclockwise direction to compact the osteotomy walls. For these purposes, the burs have special design features, like conical contour shape, increased number of helical flutes, and negative rake angle on the peripheral part. However, although other parameters and features of the burs define their overall performance, they are not described sufficiently, and their influence on surgical quality is almost unknown both for clinicians and tool manufacturers. The purpose of the present research is to identify the key design features of burs for osseodensification and their functional relationship with the qualitative indices of the procedure based on an analytical review of research papers and patent documents. It will help to further improve the design of osseodensification burs and thereby enhance the surgical quality and, ultimately, patient satisfaction. Results: The most important design features and parameters of osseodensification burs are identified. Thereon, the structural model of osseodensification bur is first represented as a hypergraph. Based on the analysis of previous research, functional relationships between design parameters of osseodensification burs, osseodensification procedure conditions, and procedure performance data were established and, for the first time, described in the comprehensive form of a hypergraph. Conclusions: This study provides formal models that form the basis of database structure and its control interface, which will be used in the later developed computer-aided design module to create advanced types of burs under consideration. These models will also help to make good experimental designs used in studies aimed at improving the efficiency of the osseodensification procedure.
Sexual Shame and Women’s Sexual Functioning
Authors: Graziani Camilla , Chivers Meredith L.
Published: December 2024

Sexual shame negatively affects women’s sexual functioning, impacting arousal, desire, orgasm, and pain. This review summarizes the existing literature, highlighting the multiple, interacting factors contributing to sexual shame including sociocultural messages, body and genital self-image, sexual self-schemas, sexual pain, comorbid chronic disease, illness, medical disorders, and sexual trauma. The relationship between sexual shame and sexual functioning is often reciprocal, demonstrating sexual shame as a potential causal and maintaining mechanism underlying women’s sexual difficulties. We present a model proposing the mechanisms by which sexual shame affects sexual functioning, underscoring the need for comprehensive approaches to mitigate the impact of sexual shame and foster sexual well-being for women. Growing research emphasizes emotional processes in models of sexual function, and emotional pathways underlying sexual difficulties and dysfunction. Given the impact of sexual shame on women’s sexual functioning, therapeutic approaches that target sexual shame are recommended to help alleviate difficulties with sexual arousal, desire, orgasm, and sexual pain.
Vibrational Spectroscopy of Perovskite Ferroelectrics
Authors: Kojima Seiji
Published: December 2024

Ferroelectric and antiferroelectric materials are technologically important by the richness of applications such as piezoelectric, pyroelectric, electro-optic, elasto-optic, and nonlinear optic effects. Especially, oxides with a perovskite structure are very important. Its chemical formula is ABO3, where A is a cation with a larger ionic radius, and B is a cation with a smaller ionic radius. Various elements are available in A- and B-sites. For example, the large piezoelectricity of well-known Pb(ZrxTi1−x)O3 (PZT) solid solutions was found in a morphotropic phase boundary (MPB). The very high dielectric constant, colossal piezoelectric effect, and large electro-optic effect are induced by ferroelectric phase transitions. Such excellent functionalities are closely related to lattice dynamical instability. The vibrational spectroscopy, i.e., Raman scattering, Brillouin scattering, far-infrared, and terahertz time-domain spectroscopy, is a powerful tool for lattice dynamical anomalies. This paper intended a brief review of vibrational spectroscopy on ferroelectric phase transitions of advanced perovskite oxides.
Overcoming Barriers to Sustainable Green Transportation in Ho Chi Minh City: A Pathway Toward Achieving SDGs 11 and 13
Authors: Nguyen Thi Bich Hang , Le Dinh Thuc
Published: December 2024

Ho Chi Minh City (HCMC), Vietnam’s largest urban center, is home to over 9 million people and faces significant challenges due to rapid urbanization and the heavy reliance on personal vehicles. Over 95% of urban passenger transport in HCMC relies on high-emission cars, contributing to severe air pollution and slowing progress toward the United Nations Sustainable Development Goals (SDGs). Greening HCMC’s transport system is essential to reducing emissions and achieving SDG 11 (Sustainable Cities and Communities) and SDG 13 (Climate Action). Despite ongoing efforts, many barriers continue to hinder this transition. This paper aims to identify and prioritize these barriers using the fuzzy TOPSIS method. The results highlight limited infrastructure investment, a lack of charging stations, and unclear policies as the top obstacles. Other challenges include poor service quality, dependence on private vehicles, low community awareness, high fuel prices, and the cost of green vehicles. These findings offer a foundation for proposing solutions and prioritizing actions to build an eco-friendly transport system. This would directly support the SDGs related to sustainable cities, climate action, and public health. A thorough analysis of these barriers and their impact is vital to expedite and enhance the “greening” process by focusing on factors with significant and decisive influence.