bluuebunny/crossref_metadata_2025 huggingface dataset:
Enhanced Production of Clean Fermentable Sugars by Acid Pretreatment and Enzymatic Saccharification of Sugarcane Bagasse
Authors: Yaverino-Gutierrez Mario Alberto , Ramos Lucas , Ascencio Jesús Jiménez , Chandel Anuj Kumar
Published: May 2024

Sugarcane bagasse (SCB), an agro-industrial byproduct generated by a sugar mill, holds a substantial carbohydrate content of around 70 wt.%, comprising cellulose and hemicellulose. Saccharification plays a pivotal role in the conversion of SCB into second-generation (2G)-ethanol and valuable compounds, which is significantly aided by thermochemical pretreatments. In this study, SCB underwent diluted sulfuric acid pretreatment (2% H2SO4, 80 rpm, 200 °C, 20 min), resulting in the removal of 77.3% of the xylan. The hemicellulosic hydrolysate was analyzed to identify the sugars and degraded products acting as microbial inhibitors. The acid hydrolysate showed a xylose yield of 68.0% (16.4 g/L) and a yield of 3.8 g/L of acetic acid. Afterward, the hemicellulosic hydrolysate was concentrated 2.37 times to obtain a xylose-rich stream (39.87 g/L). The sequential detoxification, employing calcium oxide and activated carbon, removed the inhibitory compounds, including acetic acid, while preserving the xylose at 38.10 g/L. The enzymatic saccharification of cellulignin at 5% and 10% of the total solids (TSs) yielded comparable reducing sugar (RS) yields of 47.3% (15.2 g/L) and 47.4% (30.4 g/L), respectively, after 96 h, employing a 10 FPU/g enzyme loading of Cellic® CTec3 (Novozymes Inc. Parana, Brazil). In summary, these findings outline an integrated green chemistry approach aimed at addressing the key challenges associated with pretreatment, concentration, detoxification, and enzymatic hydrolysis to produce fermentable sugars.
Assessment of Heavy Metal Contamination and Ecological Risk in Soil within the Zheng–Bian–Luo Urban Agglomeration
Authors: Chen Xiaolong , Zhang Hongfeng , Wong Cora Un In , Li Fanbo , Xie Sujun
Published: May 2024

As urbanization accelerates, the contamination of urban soil and the consequent health implications stemming from urban expansion are increasingly salient. In recent years, a plethora of cities and regions nationwide have embarked on rigorous soil geological surveys with a focus on environmental quality, yielding invaluable foundational data. This research aims to develop scientifically robust and rational land-use planning strategies while assessing the levels of heavy metal pollution and associated risks. The urban agglomeration encompassing Zhengzhou, Luoyang, and Kaifeng (referred to as Zheng–Bian–Luo Urban Agglomeration) in Henan Province was designated as the study area. Leveraging the Nemerow comprehensive index method alongside the Hakanson potential ecological risk assessment method, this study delved into the pollution levels and potential ecological ramifications of nine heavy metals, namely Cr, Mn, Ni, Cu, Zn, As, Cd, Pb, and Co. Research indicates that the hierarchy of individual potential ecological risks ranges from most to least significant as follows: Cd > Pb > Cr > Ni > Cu > Zn > As > Mn > Co. The concentrations of Cd in both Zhengzhou and Kaifeng surpassed the established background levels. Furthermore, the mean single-factor pollution index values for the heavy metals Cd and Zn exceeded 1, signifying a state of minor pollution. The Nemerow comprehensive index P of Cd and Zn is between 1 < Pcomp ≤ 2, which is considered mild pollution. The comprehensive P values of the other seven metal elements are all less than 0.7, reaching a clean (alert) level. Predominantly, the primary potential risk factor in the superficial soil of the Zheng–Bian–Luo urban agglomeration is Cd, while the ecological risk implications associated with other heavy metal elements are comparatively minimal. The soil environmental quality within the designated study area remains secure, although certain localized areas pose potential risks of heavy metal pollution. A comprehensive assessment of the current state of soil heavy metal pollution is essential to establish a theoretical foundation and provide technical support for soil environmental protection, pollution mitigation, and sustainable utilization.
Evaluation of Density Functional Theory-Generated Data for Infrared Spectroscopy of Novel Psychoactive Substances Using Unsupervised Learning
Authors: dos Santos Christiano , Bruni Aline Thais
Published: May 2024

Novel psychoactive substances (NPSs) are compounds plotted to modify the chemical structures of prohibited substances, offering alternatives for consumption and evading legislation. The prompt emergence of these substances presents challenges in health concerns and forensic assessment because of the lack of analytical standards. A viable alternative for establishing these standards involves leveraging in silico methods to acquire spectroscopic data. This study assesses the efficacy of utilizing infrared spectroscopy (IRS) data derived from density functional theory (DFT) for analyzing NPSs. Various functionals were employed to generate infrared spectra for five distinct NPS categories including the following: amphetamines, benzodiazepines, synthetic cannabinoids, cathinones, and fentanyls. PRISMA software was conceived to rationalize data management. Unsupervised learning techniques, including Hierarchical Cluster Analysis (HCA), Principal Component Analysis (PCA), and t-distributed stochastic neighbor embedding (t-SNE), were utilized to refine the assessment process. Our findings reveal no significant disparities among the different functionals used to generate infrared spectra data. Additionally, the application of unsupervised learning demonstrated adequate segregation of NPSs within their respective groups. In conclusion, integrating theoretical data and dimension reduction techniques proves to be a powerful strategy for evaluating the spectroscopic characteristics of NPSs. This underscores the potential of this combined methodology as a diagnostic tool for distinguishing IR spectra across various NPS groups, facilitating the evaluation of newly unknown compounds.
Developing Christ as Consolatory Example in the Christ Encomium
Authors: Muir Alex W.
Published: May 2024

While Paul Holloway’s scholarship on Philippians has been important, his classification of Philippians as a letter of consolation has gained relatively little traction. Interestingly, however, Holloway follows Karl Barth in labelling a large section of the letter, Phil 1:27–2:16, a ‘hortatory digression’, which could be seen to diminish the extent of consolation in this part of the letter. In this article, I seek to develop Holloway’s work to argue that the Christ encomium in Phil 2:6–11 has elements of consolatory discourse that relates to other parts of the letter. Phil 2:6–11 illustrates and exemplifies how comfort (παράκλησις), consolation (παραμύθιον), and joy (χαρά) can be derived by individuals and communities in the face of opposition or destitution (cf. Phil 1:27–2:4). I propose that Christ undergoes a form of voluntary desolation in 2:6–8 but then receives something different from consolation in his glorious exaltation and the bestowal of the divine name. Although Paul and the Philippians will not receive universal worship like Christ, they can imitate him by following in this trajectory of becoming like God, thus receiving divine consolation and transformation.
Connecting to Resilience, Hope, and Spirituality through a Narrative Therapy and Narrative Medicine Creative Writing Group for People Affected by Cancer
Authors: Béres Laura , Getchell Leah , Perera Amandi
Published: May 2024

In this article, the authors will describe a creative writing therapeutic group program they developed based on narrative therapy and narrative medicine principles. This was a Social Science and Humanities Research Council—Partnership Engagement Grant funded project, the aim of which was to develop a facilitator’s manual for people interested in offering this group, titled “Journey through Words”. The link to the agency partner’s website, where the manual is available, is provided. The group program is structured over 6 weeks and includes a writing prompt each week, focusing on the storyline of resilience rather than the storyline of diagnosis or disease. Using a narrative inquiry approach, the facilitators kept brief field notes following group meetings. These field notes indicate that although spirituality was not planned as an identified focus of the program, due to the space narrative therapy provides for people to describe their values, preferences, and hopes during hardship, the experience of the group was that members shared reflections which were deeply spiritual in nature.
Evolution, Evil, Co-Creation and the Value of the World
Authors: Attfield Robin
Published: May 2024

This article builds on and supplements an earlier one in this journal about theodicy. It focuses on species extinctions and on the possible role of humanity as fallible co-creators. Christopher Southgate has suggested that co-creators might shoulder the task of curtailing extinctions. In appraising this view, I distinguish between extinctions resulting from evolution, which humans have limited power to reverse, but which are held to be indispensable for the evolution of complexity, consciousness and self-consciousness, and those caused by humanity itself, which humans should reduce, even if they cannot be halted. Human creativity, however, extends further to the development of skills, trades, the arts and literature. Church Fathers, such as Ambrose, Theodoret and Cosmas Indicopleustes, held that God left the creation incomplete so that humanity could enhance it; certainly, human creativity has introduced agriculture, navigation, technology and culture, adding to the value of the world. Granted belief in creation, this can be understood as co-creation. Granted the value that humanity continues to add to the world, the belief that such creativity flows from the creator’s overall plan emerges as a coherent one.
Geometrical Variation Analysis of Landslides in Different Geological Settings Using Satellite Images: Case Studies in Japan and Sri Lanka
Authors: Neranjan Suneth , Uchida Taro , Yamakawa Yosuke , Hiraoka Marino , Kawakami Ai
Published: May 2024

Over the past three decades, Sri Lanka has observed a substantial rise in landslide occurrences linked to intensified rainfall. However, the lack of comprehensive landslide inventories has hampered the development of effective risk analysis and simulation systems, requiring Sri Lanka to rely heavily on foreign-developed models, despite the difficulty of fully examining the similarities between the characteristics of landslides in Sri Lanka and the areas where the model has been developed. Satellite images have become readily available in recent years and have provided information about the Earth’s surface conditions over the past few decades. Thus, this study verifies the utility of satellite images as a cost-effective remote-sensing method to clarify the commonalities and differences in the characteristics of landslides in two regions Ikawa, Japan, and Sabaragamuwa, Sri Lanka, which exhibit different geological formations despite similar annual rainfall. Using Google Earth satellite images from 2013 to 2023, we evaluated land-slide density, types, and geometry. The findings reveal that Ikawa exhibits a higher landslide density and experiences multiple-type landslides. In contrast, both areas have similar initiation areas; however, Sabaragamuwa predominantly experiences single landslides that are widespread and mobile. The findings also reveal that various characteristics of landslides are mainly influenced by varied topography. Here, we confirmed that even in areas where comprehensive information on landslides is conventionally lacking, we can understand the characteristics of landslides by comparing landslide geometry between sites using satellite imagery.
TFCD-Net: Target and False Alarm Collaborative Detection Network for Infrared Imagery
Authors: Cao Siying , Li Zhi , Deng Jiakun , Huang Yi’an , Peng Zhenming
Published: May 2024

Infrared small target detection (ISTD) plays a crucial role in both civilian and military applications. Detecting small targets against dense cluttered backgrounds remains a challenging task, requiring the collaboration of false alarm source elimination and target detection. Existing approaches mainly focus on modeling targets while often overlooking false alarm sources. To address this limitation, we propose a Target and False Alarm Collaborative Detection Network to leverage the information provided by false alarm sources and the background. Firstly, we introduce a False Alarm Source Estimation Block (FEB) that estimates potential interferences present in the background by extracting features at multiple scales and using gradual upsampling for feature fusion. Subsequently, we propose a framework that employs multiple FEBs to eliminate false alarm sources across different scales. Finally, a Target Segmentation Block (TSB) is introduced to accurately segment the targets and produce the final detection result. Experiments conducted on public datasets show that our model achieves the highest and second-highest scores for the IoU, Pd, and AUC and the lowest Fa among the DNN methods. These results demonstrate that our model accurately segments targets while effectively extracting false alarm sources, which can be used for further studies.
Raman Spectroscopy of Disperse Systems with Varying Particle Sizes and Correction of Signal Losses
Authors: Spoor Erik , Oerke Viktoria , Rädle Matthias , Repke Jens-Uwe
Published: May 2024

In this paper, a dispersion of glass beads of different sizes in an ammonium nitrate solution is investigated with the aid of Raman spectroscopy. The signal losses caused by the dispersion are quantified by an additional scattered light measurement and used to correct the measured ammonium nitrate concentration. Each individual glass bead represents an interface at which the excitation laser is deflected from its direction causing distortion in the received Raman signal. It is shown that the scattering losses measured with the scattered light probe correlate with the loss of the Raman signal, which means that the data obtained can be used to correct the measured values. The resulting correction function considers different particle sizes in the range of 2–99 µm as well as ammonium nitrate concentrations of 0–20 wt% and delivers an RMSEP of 1.952 wt%. This correction provides easier process access to dispersions that were previously difficult or impossible to measure.
ResNet1D-Based Personal Identification with Multi-Session Surface Electromyography for Electronic Health Record Integration
Authors: Ganiga Raghavendra , S. N. Muralikrishna , Choi Wooyeol , Pan Sungbum
Published: May 2024

Personal identification is an important aspect of managing electronic health records (EHRs), ensuring secure access to patient information, and maintaining patient privacy. Traditionally, biometric, signature, username/password, photo identity, etc., are employed for user authentication. However, these methods can be prone to security breaches, identity theft, and user inconvenience. The security of personal information is of paramount importance, particularly in the context of EHR. To address this, our study leverages ResNet1D, a deep learning architecture, to analyze surface electromyography (sEMG) signals for robust identification purposes. The proposed ResNet1D-based personal identification approach using the sEMG signal can offer an alternative and potentially more secure method for personal identification in EHR systems. We collected a multi-session sEMG signal database from individuals, focusing on hand gestures. The ResNet1D model was trained using this database to learn discriminative features for both gesture and personal identification tasks. For personal identification, the model validated an individual’s identity by comparing captured features with their own stored templates in the healthcare EHR system, allowing secure access to sensitive medical information. Data were obtained in two channels when each of the 200 subjects performed 12 motions. There were three sessions, and each motion was repeated 10 times with time intervals of a day or longer between each session. Experiments were conducted on a dataset of 20 randomly sampled subjects out of 200 subjects in the database, achieving exceptional identification accuracy. The experiment was conducted separately for 5, 10, 15, and 20 subjects using the ResNet1D model of a deep neural network, achieving accuracy rates of 97%, 96%, 87%, and 82%, respectively. The proposed model can be integrated with healthcare EHR systems to enable secure and reliable personal identification and the safeguarding of patient information.
Virtual Sensing of Key Variables in the Hydrogen Production Process: A Comparative Study of Data-Driven Models
Authors: Yao Yating , Xing Yupeng , Zuo Ziteng , Wei Chihang , Shao Weiming
Published: May 2024

Hydrogen is an ideal energy carrier manufactured mainly by the natural gas steam reforming hydrogen production process. The concentrations of CH4, CO, CO2, and H2 in this process are key variables related to product quality, which thus need to be controlled accurately in real-time. However, conventional measurement methods for these concentrations suffer from significant delays or huge acquisition and upkeep costs. Virtual sensors effectively compensate for these shortcomings. Unfortunately, previously developed virtual sensors have not fully considered the complex characteristics of the hydrogen production process. Therefore, a virtual sensor model, called “moving window-based dynamic variational Bayesian principal component analysis (MW-DVBPCA)” is developed for key gas concentration estimation. The MW-DVBPCA considers complicated characteristics of the hydrogen production process, involving dynamics, time variations, and transportation delays. Specifically, the dynamics are modeled by the finite impulse response paradigm, the transportation delays are automatically determined using the differential evolution algorithm, and the time variations are captured by the moving window method. Moreover, a comparative study of data-driven virtual sensors is carried out, which is sporadically discussed in the literature. Meanwhile, the performance of the developed MW-DVBPCA is verified by the real-life natural gas steam reforming hydrogen production process.
Novel Metric for Non-Invasive Beat-to-Beat Blood Pressure Measurements Demonstrates Physiological Blood Pressure Fluctuations during Pregnancy
Authors: Zimmermann David , Malberg Hagen , Schmidt Martin
Published: May 2024

Beat-to-beat (B2B) variability in biomedical signals has been shown to have high diagnostic power in the treatment of various cardiovascular and autonomic disorders. In recent years, new techniques and devices have been developed to enable non-invasive blood pressure (BP) measurements. In this work, we aim to establish the concept of two-dimensional signal warping, an approved method from ECG signal processing, for non-invasive continuous BP signals. To this end, we introduce a novel BP-specific beat annotation algorithm and a B2B-BP fluctuation (B2B-BPF) metric novel for BP measurements that considers the entire BP waveform. In addition to careful validation with synthetic data, we applied the generated analysis pipeline to non-invasive continuous BP signals of 44 healthy pregnant women (30.9 ± 5.7 years) between the 21st and 30th week of gestation (WOG). In line with established variability metrics, a significant increase (p < 0.05) in B2B-BPF can be observed with advancing WOGs. Our processing pipeline enables robust extraction of B2B-BPF, demonstrates the influence of various factors such as increasing WOG or exercise on blood pressure during pregnancy, and indicates the potential of novel non-invasive biosignal sensing techniques in diagnostics. The results represent B2B-BP changes in healthy pregnant women and allow for future comparison with those signals acquired from women with hypertensive disorders.
Performance Estimation of a Medium-Resolution Earth Observation Sensor Using Nanosatellite Replica
Authors: Colodro-Conde Carlos
Published: May 2024

In many areas of engineering, the design of a new system usually involves estimating performance-related parameters from early stages of the project to determine whether a given solution will be compliant with the defined requirements. This aspect is particularly relevant during the design of satellite payloads, where the target environment is not easily accessible in most cases. In the context of Earth observation sensors, this problem has been typically solved with the help of a set of complex pseudo-empirical models and/or expensive laboratory equipment. This paper describes a more practical approach: the illumination conditions measured by an in-orbit payload are recreated on ground with the help of a replica of the same payload so the performance of another Earth observation sensor in development can be evaluated. The proposed method is specially relevant in the context of small satellites, as the possibility of having extra units devoted to these tasks becomes greater as costs are reduced. The results obtained using this method in an actual space mission are presented in this paper, giving valuable information that will help in further stages of the project.
Research Progress in the Separation of Chemical Components from Essential Oils by High-Speed Countercurrent Chromatography
Authors: He Linhong , Zhong Zihao , Zhang Lijuan , Bai Xi
Published: May 2024

Essential oils (EOs) are vital secondary metabolites in plants. They have garnered substantial attention owing to their distinct flavors and desirable attributes, including potent antioxidant, antibacterial, and antitumor properties. Nevertheless, the active constituents of EOs exhibit intricate chemical structures, and conventional separation techniques are inadequate for purifying the individual chemical components from EOs. High-speed countercurrent chromatography, based on the principles of a hydrodynamic equilibrium system, has emerged as a liquid–liquid chromatographic separation method renowned for its ability to handle substantial single injection volumes and the absence of irreversible adsorption. Consequently, in recent years, this technique has been widely employed in the isolation and refinement of natural products. In this review, a comprehensive analysis is conducted, contrasting the merits and demerits of high-speed countercurrent chromatography with conventional separation methods. The solvent systems, elution modes, commonly employed detectors, and practical applications are reviewed in the context of high-speed countercurrent chromatography for essential oil separation and purification. Furthermore, this review offers a glimpse into the potential prospects of applying this technique, with the intention of serving as a valuable reference for the use of high-speed countercurrent chromatography in the purification of EOs.
Coordination Ion Spray for Analysis of the Growth Hormones Releasing Peptides in Urine—An Application Study
Authors: Temerdashev Azamat , Gashimova Elina , Azaryan Alice , Feng Yu-Qi , Atapattu Sanka N.
Published: May 2024

In this article, a comparison of ionization techniques is provided and discussed. Conventional liquid chromatography with an electrospray ionization source shows higher robustness and repeatability in comparison with liquid chromatography coupled with a coordination ion spray (CIS-MS) source using silver nitrate as the dopant. However, the higher sensitivity and possibility to collect more data in untargeted applications mean CIS-MS is emerging as an instrument used in specific applications. During this research, the limit of detection (LOD) for GHRP-2 and GHRP-6 was established at 0.2 ng/mL, and the lower limit of quantification (LLOQ) was 0.5 ng/mL for CIS-MS. For conventional ESI-MS combined with solid-phase extraction on weak cation exchange columns, the limit of detection was found to be 1 ng/mL, and the lower limit of quantification was 2 ng/mL.
Centering Women of Color: Chronic Vulvovaginal Pain (CVVP) Communication
Authors: Adams Olivia R. , Gesselman Amanda N. , Bennett-Brown Margaret
Published: May 2024

Background: Black and white women describe their chronic vulvar pain (CVVP) symptoms differently, indicating a patient–provider communication deficit. This may contribute to the diagnostic delay commonly reported by patients with CVVP and/or pelvic pain. Methods: A pilot study demonstrated CVVP terminology differences between women of color and white women. The present study (N = 488) includes a sample of predominantly cisgender women who identified their race/ethnicity as Black, Hispanic/Latinx, Native American/American Indian, and/or Asian. Participants reported how they describe their CVVP, their healthcare experiences, and characteristics of their diagnostic journey. Results: Descriptions of CVVP were not uniform. Instead, there was great variability in how women described their pain across racial/ethnic identities and pain contexts (e.g., sexual activity, menstrual product use, and pelvic exam). Some pain experiences and descriptors were associated with healthcare outcomes related to diagnostic delay. Conclusions: This study sheds light on the pain communication experiences of women of color with CVVP, an understudied population within the broader CVVP literature. By resisting white and non-white comparative methodologies, this study demonstrates the applicability of intersectionality principles to the study of CVVP and contributes to the existing literature regarding pain communication, race, and ethnicity.
Biofertilization with Liquid Vermicompost-Activated Biochar Enhances Microbial Activity and Soil Properties
Authors: Carril Pablo , Becagli Michelangelo , Celletti Silvia , Fedeli Riccardo , Loppi Stefano , Cardelli Roberto
Published: May 2024

Biochar (Bc) and liquid vermicompost extracts (LVEs) are increasingly being used as biofertilizers in agriculture to promote soil-microbe-crop interactions. However, although both these products can potentially act synergistically due to their complementary characteristics, their co-application in different soils has not yet been investigated. Therefore, firstly, an LVE-activated biochar (BLVE) was experimentally formulated and the persistence of LVE bacteria over a 60-day storage period was determined. The total number of LVE bacteria increased by 10-fold after 7 days and was stable throughout the entire biochar storage period. In addition, changes in the composition of the bacterial community were observed after 30 days of storage, indicating that taxa less represented in pure LVE may be advantaged upon biochar colonization. Secondly, a microcosm experiment was performed to evaluate whether the biological fertility and enzyme activities of two soils, differing in organic matter content, could be enhanced by the addition of LVE-activated biochar. In this experiment, three different doses of Bc, LVE, and BLVE against the carbon-related biological fertility index (i.e., biological fertility index, BFI) and three enzyme activities over a 21-day incubation period were tested. The BLVE treatment yielded the best results (i.e., BFI +32%, enzyme activities +38%). This indicates that Bc and LVEs can act synergistically to promote soil fertility, quality, and microbial activity. By integrating LVE-activated biochar into their soil management practices, farmers could achieve higher crop yields and healthier products.
Lower-Body Power, Body Composition, Speed, and Agility Performance among Youth Soccer Players
Authors: França Cíntia , Gouveia Élvio , Martins Francisco , Ihle Andreas , Henriques Ricardo , Marques Adilson , Sarmento Hugo , Przednowek Krzysztof , Lopes Helder
Published: May 2024

Speed and agility have been described as crucial abilities for soccer players. The purpose of this study was to analyze, in detail, the variance in speed and agility tasks explained by lower-body power after controlling for age and body composition. The participants were 96 male soccer players aged 16.1 ± 1.6 years. Body composition (stature, body fat percentage—BF%, body mass, and fat-free mass—FFM), lower-body power (countermovement jump—CMJ, and squat jump—SJ), speed (5-, 10-, and 35 m sprints), and agility (t-test) were assessed. Among body composition parameters, BF% presented the highest number of significant relationships with speed and agility, with the strength of correlations ranging from small (5 m sprint, r = 0.25) to large (35 m sprint, r = 0.52). The strongest correlation coefficient emerged between FFM and the 35 m sprint (r = −0.65). Significant correlations were found between vertical jump performance and the 35 m sprint (CMJ: r = −0.68; SJ: r = −0.69), followed by the t-test (CMJ: r = −0.35; SJ: r = −0.47). The hierarchical multiple regression model could explain 22% to 67% of the variance observed in agility scores and speed. BF% remained the most statistically significant negative predictor of all regression models. The CMJ remained a statistically significant positive predictor of the 35 m sprint (β = −0.581, p ≤ 0.01) after controlling for age and body composition. Integrating programs targeting lower-body power might be important to enhance speed and agility performance in youth soccer. On the other hand, future research based on multidisciplinary approaches to investigate the effects of nutritional strategies in reducing or preventing gains in BF% is still needed, which remained a significant predictor of sprint and agility performance in the final models.
Enhancing Rural Revitalization in China through Digital Economic Transformation and Green Entrepreneurship
Authors: Wang Ying , Ye Daoliang
Published: May 2024

Over the past few years, rural revitalization has become a focal point of interest in the discourse of sustainable development. However, there exists a gap in understanding the factors that foster economic sustainability in rural settings. The current study seeks to investigate the influence of digital economic transformation on rural revitalization in the context of China by employing a serial mediation model encompassing green entrepreneurship and green innovation. Data were collected from rural entrepreneurs using a stratified sampling method, with strata identified based on geographical and socioeconomic factors, which allowed for a comprehensive examination of various business sizes and stages across sectors. The authors analyzed the structural paths using multivariate analytical techniques by utilizing SmartPLS-SEM. The empirical findings provide support to the hypothesized relationships that: (1) digital economic transformation significantly promotes green entrepreneurship, which in turn, cultivates green innovation; and (2) green entrepreneurship and green innovation serially mediate the association between digital economic transformation and rural revitalization. Our study provides a holistic model that can inform regulatory frameworks and governmental strategies to support sustainable rural development in China.
Exploring the Key Factors Influencing College Students’ Willingness to Use AI Coding Assistant Tools: An Expanded Technology Acceptance Model
Authors: Pan Zelin , Xie Zhendong , Liu Tingting , Xia Tiansheng
Published: May 2024

The application of artificial intelligence (AI) in programming assistance has garnered researchers’ attention for its potential to reduce learning costs for users, increase work efficiency, and decrease repetitive coding tasks. However, given the novelty of AI Coding Assistant Tools (AICATs), user acceptance is currently limited, and the factors influencing this phenomenon are unclear. This study proposes an expanded model based on the Technology Acceptance Model (TAM) that incorporates the characteristics of AICAT users to explore the key factors affecting college students’ willingness to use AICATs. Utilizing a survey methodology, 303 Chinese participants completed the questionnaire. Factor analysis and Structural Equation Modeling (SEM) results indicate that users’ dependence worry (DW) about AICATs positively affects perceived risk (PR), which in turn negatively impacts perceived usefulness (PU) and perceived ease of use (PEOU), thus reducing user willingness to use. Dependence concerns also negatively impact perceived trust (PT), while PT positively affects PU and PEOU, thereby enhancing willingness to use. Additionally, a user’s self-efficacy (SE) negatively impacts DW and positively affects PEOU. This study discusses the potential significance of these findings and offers suggestions for AICAT developers to foster and promote widespread use.
What Is “Apocynum sibiricum”? A Critical Comment on the Long-Term Taxonomic Homonymy
Authors: Mavrodiev Evgeny V. , Sytin Andrey K. , Laktionov Alexey P. , Vasjukov Vladimir M. , Penton John S. , Panfilova Karina I.
Published: May 2024

The necessity of the typification of the Apocynum L. s.l. (incl. Poacynum Baill. and Trachomitum Woodson) (Apocynaceae) species is crucial for future dogbane diversity estimations. Still, the original material of many taxa of the genus Apocynum s.l. is doubtful or remains to be discovered. This study’s topic is resolving a long-term taxonomic homonymy around the widely used binomial “A. sibiricum”. The misusing of the name “A. sibiricum” became a reason for long-term misunderstanding of the meaning of the binomial Poacynum sarmatiense (Woodson) Mavrodiev, Laktionov & Yu.E.Alexeev (A. sarmatiense (Woodson) Wissjul.; T. sarmatiense Woodson) and therefore for the misestimation of the Apocynum s.l. diversity in Russian and other Eurasian floras. Resolving this issue, here, we designate the lectotype of A. sibiricum Jacq. and the name “A. sibiricum Pall.” was validated within Poacynum as P. pallasianum Mavrodiev, Sytin, Laktionov & Vasjukov nom. nov. (Apocynum sibiricum auct., non Jacq.) with the lectotype selected from the original collections of Peter Simon Pallas.
Psychological Burden among Pediatric Thalassemia Major Patients in Indonesia: A Review
Authors: Sari Teny Tjitra , Rahmartani Ludi Dhyani , Wirahmadi Angga , Selene Nathasha Brigitta , Iskandar Stephen Diah , Wahidiyat Pustika Amalia
Published: May 2024

Thalassemia a common hereditary blood disorder resulting in anemia. It is an important public health problem, with a high prevalence in Southeast Asia and Mediterranean countries, and preventable through screening programs. However, due to its chronic nature, permanent physical changes, troublesome complications, and lifelong treatment, pediatric patients with thalassemia major are more prone to mental disorders and cognitive impairment. Internalizing and externalizing problems are higher in pediatric patients with thalassemia. Children with β-thalassemia major exhibit lower IQ scores than healthy children. Neurophysiology and neuroimaging examinations have shown abnormal results in children with thalassemia. Co-morbidity with mental disorders increases the mortality, morbidity, and total healthcare costs of patients with thalassemia. Therefore, routine evaluation of mental health problems is recommended to accommodate the early detection and prompt treatment of mental disorders. A multidisciplinary approach for thalassemia patients and families should be delivered by providing appropriate medical care, psychosocial support, and good transition care to improve survival and well-being, assist good social integration and daily functioning, and cope with the stress of chronic disease.
Orbital Stability Study of the Taiji Space Gravitational Wave Detector
Authors: Zhang Yu-Yang , Li Geng , Wen Bo
Published: May 2024

Space-based gravitational wave detection is extremely sensitive to disturbances. The Keplerian configuration cannot accurately reflect the variations in spacecraft configuration. Planetary gravitational disturbances are one of the main sources. Numerical simulation is an effective method to investigate the impact of perturbation on spacecraft orbits. This study shows that, in the context of the Taiji project, Earth’s gravity is an essential factor in the change in heliocentric formation configuration, contributing to the relative acceleration between spacecrafts in the order of O(10−6)m·s−2. Considering 00:00:00 on 27 October 2032 as the initial orbiting moment, under the influence of Earth’s gravitational perturbation, the maximum relative change in armlengths and variation rates of armlengths for Taiji is 1.6×105km, 32m·s−1, respectively, compared with the unperturbed Keplerian orbit. Additionally, by considering the gravitational perturbations of Venus and Jupiter, the armlength and relative velocity for Taiji are reduced by 16.01% and 17.45%, respectively, compared with when only considering that of Earth. The maximum amplitude of the formation motion indicator changes with the orbit entry time. Results show that the relative velocity increase between the spacecrafts is minimal when the initial orbital moment occurs in July. Moreover, the numerical simulation results are inconsistent when using different ephemerides. The differences between ephemerides DE440 and DE430 are smaller than those between DE440 and DE421.
Immunogenicity and Safety of SARS-CoV-2 Protein Subunit Recombinant Vaccine (IndoVac®) as a Booster Dose against COVID-19 in Indonesian Adults
Authors: Rusmil Kusnandi , Fadlyana Eddy , Girsang Rodman Tarigan , Adrizain Riyadi , Reza Rahmadi Andri , Suryadinata Hendarsyah , Dwi Putra Muhammad Gilang , Fulendry Frizka Primadewi , Nashsyah Dinda Tiaraningrum , Utami Rona Kania , Zahra Mardiah Behesti , Trisna Windiani I Gusti Ayu , Sugitha Adnyana I Gusti Agung Ngurah , Sukma Pratiwi Murti Ni Luh , Agus Somia I Ketut , Utama I Made Susila , Soetjiningsih Soetjiningsih , Mutiara Ulfa Luthfiani Nurkamila , Puspita Mita
Published: May 2024

According to the WHO target product profile for COVID-19 vaccines, the vaccine in development should be indicated for active immunisation in all populations. Therefore, PT Bio Farma developed a candidate vaccine in a subunit protein recombinant platform to help overcome the issue. This trial was an observer-blind, randomised, prospective intervention study. This study targeted individuals who had received complete primary doses of the authorised/approved COVID-19 vaccine. The groups were divided into the primary inactivated vaccine (CoronaVac®) group, the primary viral vector vaccine (ChAdOx1) group, and the primary mRNA vaccine (BNT162b2) group that received the recombinant protein (IndoVac®). The groups were compared with the control and primary mRNA vaccine (BNT162b2). The participants enrolled in the study were from two primary care centres in Bandung City and three primary care centres in Denpasar City. A total of 696 participants were enrolled from 1 September to 31 October 2022. The demographic characteristics of the all-vaccine group showed a uniform distribution. The results showed that, compared with the control, the investigational product had inferior effectiveness 14 days after the booster dose was administered. However, 28 days after the booster dose, the investigational product exhibited non-inferior effectiveness compared with the primary groups that received CoronaVac® (GMR 0.76 (0.57–0.99)) and ChAdOx1 (GMR 0.72 (0.56–59.93)), but the BNT162b2 group (GMR 0.61 (0.39–0.94)) was inferior to the control. At 12 months follow-up after the booster dose, three serious adverse events (SAEs) were reported in three participants, with causality not correlated with the investigated products. Neither AEs of special interest nor severe COVID-19 cases were reported throughout the follow-up period; thus, the IndoVac® vaccine as a booster was immunogenic and safe. Until the 6-month follow-up after the booster dose, the IndoVac® vaccine was well tolerated and all reported AEs resolved. This vaccine is registered and can be included in the immunisation programme.
Selecting and Tailoring Implementation Strategies to Improve Human Papillomavirus Vaccine Uptake in Zambia: A Nominal Group Technique Approach
Authors: Lubeya Mwansa Ketty , Mwanahamuntu Mulindi , Chibwesha Carla J. , Mukosha Moses , Kawonga Mary
Published: May 2024

The human papillomavirus (HPV) vaccine is effective in cervical cancer prevention. However, many barriers to uptake exist and strategies to overcome them are needed. Therefore, this study aimed to select and tailor implementation strategies to barriers identified by multiple stakeholders in Zambia. The study was conducted in Lusaka district between January and February 2023. Participants were purposively sampled from three stakeholder groups namely, adolescent girls, parents, and teachers and healthcare workers. With each of the stakeholders’ groups (10–13 participants per group), we used the nominal group technique to gain consensus to tailor feasible and acceptable implementation strategies for mitigating the identified contextual barriers. The identified barriers included low levels of knowledge and awareness about the HPV vaccine, being out of school, poor community sensitisation, lack of parental consent to vaccinate daughters, and myths and misinformation about the HPV vaccine. The lack of knowledge and awareness of the HPV vaccine was a common barrier across the three groups. Tailored strategies included conducting educational meetings and consensus-building meetings, using mass media, changing service sites, re-examining implementation, and involving patients/consumers and their relatives. Our study contributes to the available evidence on the process of selecting and tailoring implementation strategies to overcome contextual barriers. Policymakers should consider these tailored strategies to mitigate barriers and improve HPV vaccine uptake.
A Self-Assembling Pfs230D1-Ferritin Nanoparticle Vaccine Has Potent and Durable Malaria Transmission-Reducing Activity
Authors: Salinas Nichole D. , Ma Rui , McAleese Holly , Ouahes Tarik , Long Carole A. , Miura Kazutoyo , Lambert Lynn E. , Tolia Niraj H.
Published: May 2024

Malaria is caused by eukaryotic protozoan parasites of the genus Plasmodium. There are 249 million new cases and 608,000 deaths annually, and new interventions are desperately needed. Malaria vaccines can be divided into three categories: liver stage, blood stage, or transmission-blocking vaccines. Transmission-blocking vaccines prevent the transmission of disease by the mosquito vector from one human to another. Pfs230 is one of the leading transmission-blocking vaccine antigens for malaria. Here, we describe the development of a 24-copy self-assembling nanoparticle vaccine comprising domain 1 of Pfs230 genetically fused to H. pylori ferritin. The single-component Pfs230D1-ferritin construct forms a stable and homogenous 24-copy nanoparticle with good production yields. The nanoparticle is highly immunogenic, as two low-dose vaccinations of New Zealand White rabbits elicited a potent and durable antibody response with high transmission-reducing activity when formulated in two distinct adjuvants suitable for translation to human use. This single-component 24-copy Pfs230D1-ferritin nanoparticle vaccine has the potential to improve production pipelines and the cost of manufacturing a potent and durable transmission-blocking vaccine for malaria control.
Radiotherapy for Canine Apocrine Gland Anal Sac Adenocarcinoma: Survival Outcomes and Side Effects of a Palliative Treatment Protocol of 20 Gy in Five Consecutive Fractions
Authors: Mendez Valenzuela Carlos Roberto , Shin Kelly , Weng Hsin-Yi , Plantenga Jeannie M. , Vanhaezebrouck Isabelle F.
Published: May 2024

This research aims to evaluate the outcomes of a radiotherapy protocol, consisting of five fractions of 4 Gy each, resulting in a total dose of 20 Gy for apocrine gland anal sac tumors and local lymph nodes in canines. This protocol was assessed as a palliative treatment for macroscopic tumors alone, or in combination with additional therapies under different scenarios. Medical records from fifty canine patients met the inclusion criteria and were divided into different treatment groups: radiotherapy alone (n = 22, 44%), radiotherapy with chemotherapy or targeted therapy with toceranib (n = 18, 36%), surgery with radiotherapy (n = 5, 10%), and surgery with radiotherapy and chemotherapy or targeted therapy with toceranib (n = 5, 10%). Patients who received radiotherapy alone had a median survival time of 384 days (95% CI 198–569) and 628 days (95% CI 579–676) for RT + additional therapies. The median time to progression for patients with radiotherapy alone was 337 days (95% CI 282–391 days), and 402 days (95% CI 286–517 days) for radiotherapy plus additional treatments. Acute side effects were mild, with the majority having diarrhea (61%), and only one patient developed grade III late effects VRTOG v2 classification; however, this happened 22 months after the first radiotherapy protocol after re-irradiation. The results demonstrate that radiotherapy alone under this protocol provided a comparable median time to progression vs. radiotherapy plus additional treatments while maintaining acceptable side effects. The combination of this protocol with other treatment modalities offers attractive results for local disease control and survival while maintaining acceptable toxicities. Overall, these findings contribute to the growing evidence supporting the role of radiotherapy in managing apocrine gland anal sac adenocarcinoma in dogs.
Microbial Colonization of Explants after Osteosynthesis in Small Animals: Incidence and Influencing Factors
Authors: Candela Andrade Mario , Slunsky Pavel , Pagel Tanja , De Rus Aznar Ignacio , Brunnberg Mathias , Brunnberg Leo
Published: May 2024

Despite recent advancements in antibiotics, hygienic measures, and peri-operative systemic antibiotics, post-operative infections in osteosynthesis remain prevalent and continue to be among the most common surgical complications, leading to delayed fracture healing, osteomyelitis, implant loosening, and loss of function. Osteosynthesis implants are routinely utilized in veterinary medicine and the current study investigates the microbial colonization of implants following osteosynthesis in small animals, along with its incidence and influencing factors. The results are analyzed in regard to correlations between infection, patient, disease progression, and radiographic images, as well as other factors that may promote infection. Seventy-one explants from sixty-five patients were examined and evaluated for microbial colonization. Factors like body weight and age, location and type of plate and additional injuries like lung lesions, the surgeon’s experience, or the number of people present during the surgical procedure seem to influence the development of an infection. Of the animals, 60% showed osteolytic changes and 73.3% of those with dysfunctional mobility had an implant infection. Microorganisms were detected in almost 50% of the explants, but a clinically relevant infection was only present in five patients (7.3%), suggesting that the presence of microorganisms on an implant does not necessarily lead to treatment complications.