bluuebunny/crossref_metadata_2025 huggingface dataset:
Optimal planning with multiple collaborative processing analysis in atmospheric pressure plasma processing for imprinting continuous phase plates
Authors: Ji Peng , Li Duo , Su Xing , Jin Yuan , Wang Bo
Published: February 2025

Large-aperture continuous phase plate (CPP) plays a crucial role in high-power laser systems, spawning a substantial demand for high-volume manufacturing. Given the intricate surface topographies of CPPs, the utilization of multiple tool influence functions (TIFs) during fabrication has been widely recognized as an efficacious means to strike a more favorable balance between machining efficiency and precision. However, it should be noted that even with the same set of multiple TIFs, the collaborative performance can exhibit variations across different designed CPP surfaces, thereby introducing ambiguity into the determination of the optimal processing strategy. In this manuscript, we introduce an optimized planning paradigm underpinned by multiple collaborative processing (MCP) analysis, which is specifically applied to the atmospheric pressure plasma processing (APPP) technique for CPP imprinting. Initially, the fundamental characteristics of APPP are expounded, succeeded by the elucidation of the MCP analysis concept and its corresponding simulation demonstrations. Subsequently, the factors influencing the collaborative performance are dissected through the transformation of the multi-objective optimization problem (MOP), trailed by meticulous simulations. Moreover, an advanced optimal planning methodology is devised to identify the optimal processing scheme from the existing TIF library for any arbitrarily designed CPP surface. Eventually, a comprehensive suite of simulations and experiments is carried out to validate the proposed optimal planning approach. The experimental outcomes affirm that the proposed method not only enables the identification of an optimal processing scheme in a feasible and effective manner but also substantially curtails the computational overhead, thereby augmenting the overall efficiency of CPP fabrication via APPP.
The International Year of Quantum Science and Technology
Authors: Lanford Hannah
Published: February 2025

Throughout 2025, UNESCO’s worldwide celebration will highlight the impact of all things quantum.
Risk assessment of antibiotic residues and resistance profile of E. coli in typical rivers of Sichuan, China
Authors: Sha Jingzhou , Wu Minghao , Zhou Yaliang , Cheng Tao , Liu Haisha , Zhang Jingjing , Luo Wan , Huang Yi , Liu Yinshan , Wang Baoming , Song Tao , Lin Jiafu
Published: February 2025

The presence and distribution of antibiotics and antibiotic resistance genes (ARGs) in rivers have attracted significant global concern. However, research on the contamination of typical rivers in Sichuan Province, China, remains limited. This study aimed to assess the residual levels of antibiotics across 42 national and provincial monitoring sites in nine rivers within Sichuan using UPLC-MS/MS. Ecological risk levels were evaluated through established risk assessment methods, and antibiotic resistance in Escherichia coli(E.coli) isolated from these waters was determined using the Kirby-Bauer disk diffusion method. Additionally, redundancy analysis (RDA) was conducted to explore the impact of residual antibiotics on the microbial community structure in the Minjiang River basin. Antibiotics were detected in all nine rivers studied, with the Minjiang, Tuojiang, and Jialingjiang rivers exhibiting particularly severe contamination, with concentrations ranging from 0.29 to 2233.71 ng/L. The level of antibiotic pollution in the Sichuan Basin was significantly higher than in other regions of Sichuan, likely due to the area’s high population density. Furthermore, 9.77% of E. coli isolates from the nine rivers exhibited antibiotic resistance, with over 5.8% demonstrating multidrugs resistance. Norfloxacin, amoxicillin, ampicillin, and tetracycline were identified as the primary contributors to the high ecological risk at 26 of the 42 monitoring sites. A strong correlation was observed between residual antibiotics and changes in microbial community structure. These findings provide critical insights into the distribution of antibiotics and ARGs in the rivers of Sichuan Province and highlight the urgent need for targeted strategies to mitigate antibiotic pollution. Addressing this issue is essential to protect both ecological integrity and public health.
The effect of nursing shared governance educational program on nurse managers’ knowledge for sustainable nursing excellence and empowerment
Authors: Farghaly Abdelaliem Sally Mohammed , Al-Mugheed Khalid , Alzoubi Majdi M. , Al-Oweidat Islam , Hamouda Ghada Mohamed
Published: February 2025

Background

Nursing governance residues one of the most composite functions in the complex and complicated healthcare arena. Providing nurse managers with professional nursing governance knowledge and its related practices is essential in today’s competitive healthcare environment for nursing practices excellence.

Objective

This research aimed to determine the effect of Professional Nursing Shared Governance Awareness Sessions on First-Line Nurse Managers’ Knowledge.

Design

A quasi-experimental research design.

Setting

Alexandria Medical Research Institute hospital.

Participants

A total of 50 first-line nurse managers were recruited for the participating hospital.

Methods

Professional Nursing Shared Governance Knowledge Questionnaire and the participants’ socio-demographic characteristics questions were included.

Results

There was a statistically significant differences between the overall mean score of first-line nurse managers’ knowledge about professional nursing shared governance before and after attending nursing shared governance awareness sessions (p < 0.001). The overall mean score of professional nursing shared governance was increased significantly from 3.12 ± 2.54 to 5.86 ± 0.35 (t 7.493, p < 0.001).

Conclusions

This research plugs the Arabian nursing literature gap by representing how effective professional nursing shared governance awareness sessions could improve the nurse managers’ level of knowledge regarding the governance concept and its practices. Participants perceived the awareness sessions as constructive and strategic contrivances to determine and evolve high-potential personnel in opportunities as giving compassionate organizational structures and effective leadership behaviors for aggregating contribution of nurses in work enterprise, problem-solving, conflict resolution, teams and organizational decision-making as “crucial components to an efficacious organization”. Hence, the definitive issue for the nursing profession future is participative decision making through shared governance, as it should be a part of every organization’s strategic plan.
Antibodies response in symptomatic and asymptomatic SARS-CoV-2 infected persons in Thailand
Authors: Ruchisrisarod Chanida , Wanthong Phanni , Joyjinda Yutthana , Bunprakob Saowalak , Hemachudha Pasin , Mungaomklang Anek , Supharatpariyakorn Thirawat , Hemachudha Thiravat , Wasontiwong Abhinbhen Saraya
Published: February 2025

Antibody assays of IgM, IgG and surrogate isotype independent virus neutralizing antibody (sVNT) targeting receptor binding domain of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) were employed in 97 real-time Reverse Transcription Polymerase Chain Reaction (RT-PCR) confirmed Coronavirus Disease 2019 (COVID-19) patients with varying severity admitted to King Chulalongkorn Memorial Hospital. Concordance rate was 100% regardless of severity, onset of symptoms and magnitude of viral load. Per available samples, antibodies appeared on the same day of symptom onset in one patient; one day after in 18 patients and two days after in 19 patients. In two patients, antibodies appeared as early as 4 days after infection (exposure). IgM and IgG were evident in all patients’ first assay (within two days of admission). sVNT was also evident within two days of admission in all but 3 patients. IgM usually remained positive during the entire course of hospital stay, where the longest in this study was 32 days. Antibody assays were also applied to samples collected at a State Quarantine premise from 77 asymptomatic Thais returning from Sudan in October. Virus was detected by real-time RT-PCR in 15 cases (day 0 = 6, day 3 = 4, day 5 = 4 and day 9 = 1). Twenty-nine (including 11 RT-PCR positive cases) were antibody positive on day 0, while 4 PCR positive with antibody negative on day 0 became antibody positive on day 14. Evaluation on antibody response at days 7 or 10 is needed to help build a case to shorten length of quarantine among negative cases.
Assessing physical literacy and establishing normative reference curves for 8–12-year-old children from South Punjab, Pakistan: The PAK-IPPL cross-sectional study
Authors: Hadier Syed Ghufran , Yinghai Liu , Long Liu , Hamdani Syed Danish , Hamdani Syed Muhammad Zeeshan Haider
Published: February 2025

Background

Physical literacy (PL) encompasses an individual’s motivation, confidence, physical competence, and knowledge, all of which foster lifelong engagement in physical activities. In developing countries like Pakistan, there is a pressing need to assess PL status using culturally valid tools. This study aims to evaluate PL among children aged 8–12 in South Punjab, Pakistan while developing normative reference curves and exploring factors influencing PL.

Methods

A cross-sectional study was conducted with 1,360 students (mean age = 10.00, SD = 1.41 years) from 85 schools, using a culturally adapted and validated version of the CAPL-2 tool. The CAPL-2 scoring system was validated to align with the population and cultural context. Statistical analyses, including t-tests, Chi-squared tests, Pearson’s correlation, multivariate logistic regression, and Classification and regression tree methods, were performed to identify factors associated with PL classifications, with significance set at p < 0.05. The Generalized Additive Models for Location, Scale, and Shape were used to create age- and sex-specific PL normative reference curves.

Result

The study revealed significant influences of gender, socioeconomic status (SES), and locality on PL. Boys consistently scored higher in PL across all domains compared to girls, with significant differences (p < 0.001) in all but the knowledge and understanding domain (p = 0.160). Boys’ PL scores were 6% higher overall, with a 7% and 5% advantage in the daily behavior and physical competence domains, respectively. Children from low SES and rural settings exhibited significantly higher PL scores than their middle/high SES and urban counterparts (p < 0.001). Walking to school was positively correlated with higher PL scores, while children traveling by car had the lowest scores (p < 0.001). Anthropometric differences between genders were noted, further emphasizing the disparities in physical competence. Most participants (71.6%) fell into the "Beginning" or "Progressing" PL categories, with females predominantly in these lower stages.

Conclusion

This study reveals that gender, SES, and locality significantly impact PL among children in South Punjab, Pakistan. Boys, lower SES groups, and rural children showed higher PL scores, with everyday activities like walking to school positively contributing to PL development. These findings emphasize the need for targeted, demographically sensitive interventions to enhance PL in the region.
Understanding the history of the late Roman synagogue at Huqoq in Israel’s Galilee through radiocarbon dating and observations on site formation
Authors: Mizzi Dennis , Schindler Daniel , Boaretto Elisabetta , Chazan Michael , Magness Jodi
Published: February 2025

Galilean-type synagogues are monumental, basilical structures found in northern Israel that have long been dated, mainly on stylistic grounds, to the 2nd – 3rd centuries CE. This chronology is influenced by historical considerations – specifically, the notion that monumental synagogues must have been constructed before Jews came under Christian rule in the early 4th century. However, the stratigraphic contexts of the pottery and coins associated with the foundation of these buildings suggest they represent an architectural innovation dating to the 4th (especially the later 4th) to 6th centuries CE. The Huqoq Excavation Project was initiated in 2011 with the goal of determining the construction date of a Galilean-type synagogue through controlled stratigraphic excavation, including the systematic collection of samples for radiocarbon dating along with micromorphological analysis of the fill deposits. Here we present the initial results of these analyses, which indicate that the radiocarbon ages conform with the pottery data to place the construction of the Huqoq synagogue in the late 4th – early 5th centuries (late Roman period). However, the ages of dated samples from thick fills overlying the floor, which were deposited when the synagogue was rebuilt and expanded in the early 14th century (late medieval/Mamluk period) do not reflect the stratigraphic sequence.
Enhancing PM2.5 prediction by mitigating annual data drift using wrapped loss and neural networks
Authors: Hossen Md Khalid , Peng Yan-Tsung , Chen Meng Chang
Published: February 2025

In many deep learning tasks, it is assumed that the data used in the training process is sampled from the same distribution. However, this may not be accurate for data collected from different contexts or during different periods. For instance, the temperatures in a city can vary from year to year due to various unclear reasons. In this paper, we utilized three distinct statistical techniques to analyze annual data drifting at various stations. These techniques calculate the P values for each station by comparing data from five years (2014-2018) to identify data drifting phenomena. To find out the data drifting scenario those statistical techniques and calculate the P value from those techniques to measure the data drifting in specific locations. From those statistical techniques, the highest drifting stations can be identified from the previous year’s datasets To identify data drifting and highlight areas with significant drift, we utilized meteorological air quality and weather data in this study. We proposed two models that consider the characteristics of data drifting for PM2.5 prediction and compared them with various deep learning models, such as Long Short-Term Memory (LSTM) and its variants, for predictions from the next hour to the 64th hour. Our proposed models significantly outperform traditional neural networks. Additionally, we introduced a wrapped loss function incorporated into a model, resulting in more accurate results compared to those using the original loss function alone and prediction has been evaluated by RMSE, MAE and MAPE metrics. The proposed Front-loaded connection model(FLC) and Back-loaded connection model (BLC) solve the data drifting issue and the wrap loss function also help alleviate the data drifting problem with model training and works for the neural network models to achieve more accurate results. Eventually, the experimental results have shown that the proposed model performance enhanced from 24.1% -16%, 12%-8.3% respectively at 1h-24h, 32h-64h with compared to baselines BILSTM model, by 24.6% -11.8%, 10%-10.2% respectively at 1h-24h, 32h-64h compared to CNN model in hourly PM2.5 predictions.
Associations between spice or pepper (Capsicum annuum) consumption and diabetes or metabolic syndrome incidence
Authors: Ildarabadi Azam , Hosseini-Esfahani Firoozeh , Daei Shahrzad , Mirmiran Parvin , Azizi Fereidoun
Published: February 2025

Background

Spice and pepper are recognized as sources of antioxidants and anti-inflammatory compounds. This study investigated the association between spice or pepper intake and metabolic syndrome (MetS), related risk factors, or type 2 diabetes (T2D) incidences.

Methods

The qualified Tehran Lipid and Glucose Study (TLGS) participants were included. In all examinations, dietary, anthropometrical, and biochemical variables were measured. Multivariable Cox proportional hazards regression models were exploited to determine the relationship between spice or pepper consumption and the hazard ratios for Type 2 Diabetes (T2D), Metabolic Syndrome (MetS), or its components.

Results

The analysis was performed on 5340 individuals, with a mean age of 39.9±13.4 and 406 incident cases of T2D. Also, 4353 participants were included for MetS analysis with 1211 incident cases and a median follow-up of 5.8 years. After adjusting for confounding factors, spice and pepper intakes were not associated with T2D or MetS incidence. Further, in the upper quartile of spice intake, the HRs of high triglyceride (TG) [HR Q4: 1.19 (CI: 1.05–1.35)] and high blood pressure (BP) [HR Q4: 1.16 (CI: 1.04–1.30), P-trend = 0.007] increased. The risk of HDL-C appeared to decrease in the third quartile of pepper consumption (HR: 1, 0.97, 0.87, 1.03, P-trend = 0.008).

Conclusion

The findings showed that spice and pepper consumption had no association with the incidence of T2D and MetS. The risk of high TG and high BP incidence was elevated in the upper quartiles of spice intake. Also, greater consumption of pepper decreased the incidence of low HDL-C.
Effect of 433 MHz double-slot microwave antennas for double-zone ablation in ex vivo swine liver experiment
Authors: Jin Xiaofei , Jiang Mengwei , Qian Lu , Tao Ling , Yang Yamin , Xing Lidong , Qian Zhiyu , Li Weitao
Published: February 2025

Purpose

To evaluate the effects of axial length and slot-to-slot distance of double-slot microwave antenna (DSMA) with frequency of 433 MHz on the size and shape of ablation zones created under different input microwave powers.

Materials and methods

The design of double slot microwave antennas (DSMAs) with axial lengths (70 mm, 30 mm) and slot-to-slot distance (49 mm, 10 mm) were optimized by numerical simulation and ex vivo liver experiments. Finite-element method simulations and forty ablations of swine liver were employed to obtain the temperature distributions within liver tissue using DSMAs at the 433 MHz operating frequency in a range of heating powers (20, 30, 40 and 50W) for 600 s. The dependence of the effectiveness of MWA on the axial length and slot-to-slot distance of antenna as well as the input power was further evaluated by analyzing morphologic characteristics of ablated zone.

Results

Two-zone ablation was achieved by two types of double-slot antennas in our study with frequency of 433 MHz, and the observed shapes of ex vivo experimental ablation zones were in good agreement with patterns predicted by simulation models. The ablation zone exhibited a ‘gourd’ shape after the treatment using the antenna with longer axial length and slot-to-slot distance, while the short antenna caused a guitar-shape ablation in liver tissue after MWA.

Conclusion

The dedicated design of our DSMAs with a frequency of 433 MHz could enable new ablation shapes with controllable dimensions, which can be applied to the clinical treatment of MWA for gourd-shaped liver tumors and other long-shaped tumors. Furthermore, research can be conducted on how to design the antenna as flexible and use it for the treatment of pulmonary nodules or varicose veins.
Application of 3D point cloud and visual-inertial data fusion in Robot dog autonomous navigation
Authors: Zou Hongliang , Zhou Chen , Li Haibo , Wang Xueyan , Wang Yinmei
Published: February 2025

The study proposes a multi-sensor localization and real-timeble mapping method based on the fusion of 3D LiDAR point clouds and visual-inertial data, which addresses the issue of decreased localization accuracy and mapping in complex environments that affect the autonomous navigation of robot dogs. Through the experiments conducted, the proposed method improved the overall localization accuracy by 42.85% compared to the tightly coupled LiDAR-inertial odometry method using smoothing and mapping. In addition, the method achieved lower mean absolute trajectory errors and root mean square errors compared to other algorithms evaluated on the urban navigation dataset. The highest root-mean-square error recorded was 2.72m in five sequences from a multi-modal multi-scene ground robot dataset, which was significantly lower than competing approaches. When applied to a real robot dog, the rotational error was reduced to 1.86°, and the localization error in GPS environments was 0.89m. Furthermore, the proposed approach closely followed the theoretical path, with the smallest average error not exceeding 0.12 m. Overall, the proposed technique effectively improves both autonomous navigation and mapping for robot dogs, significantly increasing their stability.
Beyond borders: Decoding the influence of economic development, money confidence, financial market, and purchasing power on currency internationalization
Authors: Cao Zibin , Soh Weini , Razak Nazrul Hisyam Ab , Noordin Bany Ariffin Amin
Published: February 2025

Due to dedollarization and deglobalization trends, countries are pursuing currency diversification to reduce reliance on the U.S. dollar and mitigate currency risks. The research on the drivers of currency internationalization still faces problems such as small sample sizes, fewer methods, and incomplete theoretical frameworks. This study aims to investigate the effects of economic development, money confidence, and the financial market on currency internationalization. It also explores whether purchasing power mediates the relationships between the first two exogenous variables and currency internationalization. The Partial least squares structural equation modeling (PLS-SEM) method is used to analyze secondary data from 9 of the 10 most used currencies (excluding the euro) from 2000 to 2020 to examine these relationships. The findings show that economic development and money confidence have negative and significant relationships with currency internationalization, while financial market and purchasing power have positive and significant relationships with currency internationalization. The relationships between economic development and currency internationalization, as well as between money confidence and currency internationalization, are both mediated by purchasing power. These mediation effects are partially complementary mediation effects. Accordingly, to promote currency internationalization, this study recommends governments should adopt policies to develop the financial market, increase openness, and reduce capital controls. It also highlights the importance of managing inflation, diversifying reserve assets, and maintaining a flexible exchange rate to prevent currency depreciation. This study is limited by the exclusion of the euro, reliance on hard data, a small sample size, and a narrow focus on economic factors.
Single-unit activity in the anterior claustrum during memory retrieval after trace fear conditioning
Authors: Park Sewon , Sohn Kuenbae , Yoon Donghyeon , Lee Junghwa , Choi Sukwoo
Published: February 2025

We have recently identified a group of claustral neurons that continuously maintain information associated with a fear-conditioned stimulus (CS) for at least tens of seconds, even after the CS has ceased. This “online state” refers to the persistent maintenance of threat-associated information, enabling it to be actively processed even after the threat has terminated. This state may involve reciprocal interactions of the claustral neurons with brain regions involved in decision-making, motor preparation, and adaptive behavioral responses. If these claustral neurons truly encode the online state, their function should remain independent of the modality of the threat stimulus or the specific defensive behavior exhibited. In this study, we used a tone cue and monitored freezing behavior in trace conditioning, in contrast to the light cue and escape behavior used in our recent study. During the retrieval test of trace conditioning, a subset of rostral-to-striatum claustrum (rsCla) neurons exhibited sustained activity in response to the CS, particularly during the trace interval. Importantly, we found a positive correlation between the activity of rsCla neurons and the magnitude of freezing during the trace interval, when intervals without freezing were excluded. Thus, this subset of rsCla neurons appears to exhibit the characteristics of ‘online neurons’ during memory retrieval following trace conditioning.
Facilitating safe transition to home for preterm infants (FAST home): Protocol for a retrospective observational study
Authors: Szatkowski Lisa , Abramson Janine , Tao Sha , Seaton Sarah E. , Dorling Jon , Arellano-Meza Michelle , Harvey Jane , Harvey Tom , Ojha Shalini
Published: February 2025

Background

Preterm infants (i.e., those born before 37 completed weeks of pregnancy) often require additional care and are admitted to neonatal units soon after birth. Readiness for discharge home typically requires a level of physiological maturity such that an infant is able to: 1) breathe spontaneously without additional support; 2) maintain their own body temperature; 3) take all their nutritional requirements orally; 4) weighs ≥ 1700g and is gaining weight. Longer hospital stays than necessary can be detrimental to infants, stressful for families, and costly. Currently, little is known about whether, how long and why preterm infants stay in hospital beyond physiological readiness for discharge.

Materials and methods

We will conduct a retrospective cohort study using data from the National Neonatal Research Database on all infants born at < 37 weeks’ gestational age (GA) admitted to neonatal units in England and Wales from 2016-2022. The day of life and postmenstrual age infants reach each physiological milestone, and the final barrier to discharge, will be identified. We will assess whether the final barrier differs by GA and between neonatal Operational Delivery Networks and summarise the number of days infants remain in hospital after surpassing all physiological milestones. We will explore the characteristics of infants, mothers and neonatal units associated with extended hospital stays beyond physiological readiness for discharge.

Discussion

The results of this study will allow identification of areas to target to help achieve a safe reduction in length of hospital stay and will support the development of evidence-based recommendations to guide optimal discharge practices.

Trial registration

ClinicalTrials.gov NCT06284044
Analogical reasoning in first and second languages
Authors: Ikuta Miki , Miwa Koji
Published: February 2025

This study investigated how linguistic predictors such as word frequencies, the difficulty and creativity of problems, and the category of problems contribute to analogical reasoning in L1 and L2. This study also investigated how different types of similarities (i.e., perceptual and relational similarities) are processed in analogical reasoning. In Experiment 1, Japanese participants were asked to solve 100 multiple-choice A:B::C:D analogy problems (e.g., skeleton: bone:: tornado: wind) in their first language, Japanese (L1). In this experiment, participants also rated the difficulty and creativity of problems. In Experiment 2, Japanese participants completed the same tasks, but the problems were shown in their second language, English (L2). The results showed that problems presented in L1 elicited higher accuracies and faster response times than in L2. A significant interaction was found between languages (L1/L2) and the category of problems which indicates that finding a perceptual similarity (e.g., the shape image of word concepts) with verbal stimuli in L2 is more challenging than in L1. Moreover, our results on response times indicated that processing relations between words would be carried out in L1 without any specific instruction while it would not be completed in L2 possibly due to the cognitive demand related to lexical processing. Considering these results, it is advisable in an educational setting to provide L2 learners with enough time and explicit instruction on understanding word relationships when forming analogies.
Comparative analysis of VMAT plans on Halcyon and infinity for lung cancer radiotherapy
Authors: Shao Kainan , Du Fenglei , Qiu Lingyun , Zhang Yinghao , Li Yucheng , Ding Jieni , Zhan Wenming , Chen Weijun
Published: February 2025

Objective The dosimetric characteristics and treatment efficiency of VMAT plans using two linear accelerator platforms, Halcyon and Infinity, in conventional radiotherapy for non-small cell lung cancer (NSCLC) are compared to provide data for selecting clinical equipment. The study also explores potential confounding factors that may influence treatment outcomes. Methods This retrospective cohort study aims to compare the dosimetric characteristics and treatment efficiency of VMAT plans delivered using Halcyon and Infinity linear accelerator platforms in patients with NSCLC. A retrospective analysis was performed on 60 NSCLC patients receiving conventional fractionated radiotherapy with VMAT plans developed for both Halcyon and Infinity. These plans were optimized with RayStation 9A with identical dose constraints and optimization parameters. The groups were compared in terms of target dose coverage, normal tissue sparing, plan complexity, and treatment efficiency. The dosimetric parameters included D98%, D2%, and Dmean for both the CTV and PTV and dose distributions for organs at risk (OARs), including the heart, lungs, and spinal cord. Logistic regression was performed to account for potential confounding factors, such as PTV volume, tumor stage, and tumor location. Results The VMAT plans of both platforms met the clinical dosimetric requirements. Halcyon showed superior protection of normal tissues in low-dose areas (e.g., Lungs V5Gy and Heart V30Gy), whereas Infinity excelled in controlling hot spots and achieving rapid dose fall-off at the target margins. Furthermore, Halcyon has fewer plan monitoring units and lower complexity than Infinity and reduced treatment time by 24.0%. Logistic regression analysis revealed that PTV volume was a significant predictor for dose metric differences, while tumor stage and tumor location had variable effects depending on the dose metric, highlighting the need to account for these factors in clinical comparisons. Overall, there was no significant difference in target dose coverage or uniformity between the platforms; each demonstrated specific strengths in protecting different OARs and in treatment execution efficiency. Conclusion Halcyon and Infinity offer distinct advantages in radiotherapy for NSCLC. Halcyon provides better protection of normal tissues and performance in low-dose regions, whereas Infinity offers greater treatment efficiency and superior control in high-dose regions. The study also highlights that PTV volume is an important factor influencing dosimetric outcomes. In choosing optimal radiotherapy equipment in clinical practice, the study results suggest that treatment planning should leverage the unique technical features of different accelerators to achieve the best individualized outcomes. Future studies should increase the sample size and employ prospective research designs to confirm the clinical relevance of these findings.
Whole-genome sequence analysis of SFTS bunyavirus in Huzhou, China
Authors: Xu Deshun , Ji Lei , Wu Xiaofang , Chen Liping
Published: February 2025

Severe fever with thrombocytopenia syndrome (SFTS), a tick-borne emerging infectious disease caused by SFTS virus (SFTSV), is a growing public health threat due to its high mortality rate. To understand the genomic characteristics of SFTSV samples isolated in Huzhou, China, the full-length genomes of Huzhou SFTSV isolates obtained between February 1, 2019 and December 30, 2023 were sequenced, and the gene loci, evolution, and sequence identity of the genome sequences were analyzed using MEGA. The complete genome sequences of seven SFTSV samples were obtained successfully. The full-length genome of each isolate was 11 490 bp in length, composed of a large (L) segment of 6368 bp, medium (M) segment of 3378 bp, and small (S) segment of 1744 bp. The SFTSV samples isolated in Huzhou belonged to multiple genotypes, but were mainly of type D. Each subtype showed nucleotide sequence and amino acid sequence identities of more than 93.67% and 97.18%, respectively, with the syngeneic human host reference strain and more than 93.67% and 97.76%, respectively, with the syngeneic tick-derived host reference strain. Nucleotide sequence analysis of SFTSV isolates from Huzhou showed mutations in genes on all three segments, with those on the M segment showing the highest mutation rate. The nucleotide variations were mainly base transversions. Further studies of the distribution of SFTSV genotypes, sites of nucleotide mutations, and amino acid variations are required.
High mean corpuscular volume as a predictor of esophageal cancer: A cohort study based on the Japanese Shizuoka Kokuho Database
Authors: Sato Shinsuke , Ohata Emi , Nakatani Eiji , Hawke Philip , Sasaki Hatoko , Nagai Erina , Taki Yusuke , Nishida Masato , Watanabe Masaya , Ohata Ko , Kanemoto Hideyuki , Sugawara Akira
Published: February 2025

Mean corpuscular volume (MCV) is known to increase with alcohol and tobacco consumption, and is therefore a potential predictive marker for esophageal cancer onset. However, this potential has not previously been examined using a large database. This study aims to clarify whether MCV is a predictor of esophageal cancer onset using health checkup data from a comprehensive health insurance claims database of a major administrative district in Japan. Health checkup data for 582,342 individuals recorded between April 2012 and September 2020 in the Shizuoka Kokuho Database were analyzed. Risk factors were assessed using both univariable and multivariable Cox proportional hazards models. Within the cohort, 1,562 health checkup participants (0.27%) had been diagnosed with esophageal cancer during the study period. Multivariable analysis revealed that risk of esophageal cancer onset was predicted by hypertension, smoking, systolic blood pressure, alcohol consumption, alcohol use disorder, body mass index, low-density lipoprotein cholesterol, and MCV. The cutoff value of MCV for predicting esophageal cancer onset was 104.086 fl. These results suggest that it may be appropriate to carry out endoscopy to detect esophageal cancer when MCV, a well-known indicator of alcohol and tobacco consumption, is greater than 104 fl.
Estimation of the Gini coefficient based on two quantiles
Authors: Dai Pingsheng , Shen Sitong
Published: February 2025

Based on the Palma proposition and the Lorenz fitting curve, this paper estimates the sample Gini coefficient using the income share of the top 10% and bottom 40% of the population. Empirical research shows that the absolute error between the estimated value and sample Gini coefficient is within a hundredth. Monte Carlo simulation shows that the new method has good performance and robustness for estimating Gini coefficients with different sample sizes and different inequality levels. Using the two quantiles in the deciles to estimate the sample Gini coefficient and the Lorenz fitting curve is a practical method.
Comparative genomic profiling of SLC26A4-expressing cells in the inner ear and other organs
Authors: Honda Keiji , Kajino Akimasa , Tsutsumi Takeshi
Published: February 2025

Pendred syndrome and autosomal recessive non-syndromic hearing loss, type 4 (DFNB4), are associated with mutations in SLC26A4 that encodes the anion transporter SLC26A4 (pendrin). SLC26A4 is expressed in mitochondria-rich cells of the endolymphatic sac, spindle and root cells in the cochlear lateral wall, transitional cells in the vestibular organs, follicular cells in the thyroid, and type B intercalated cells in the kidney. This study aimed to assess the gene profiles of murine Slc26a4-expressing cells to better understand the regulatory mechanisms and functions of SLC26A4. Publicly available murine single-cell or single-nucleus RNA-sequencing (RNA-seq) datasets from the endolymphatic sac, cochlear lateral wall, utricle, kidney, airway, epididymis, and salivary glands were collected. After quality control, principal component analysis and clustering, distinct cell populations were identified, and differentially expressed genes (DEGs) were analyzed. The datasets were integrated for comparison across multiple tissues and organs. The results revealed no shared genetic profile among inner ear Slc26a4-expressing cells, with Slc26a4 being the only shared DEG, suggesting that regulatory genes may include low expression transcripts, splicing variants, or long non-coding RNAs undetectable by single-cell analysis. Comparative analysis within the ionocyte family identified distinct DEGs such as Insrr and Hmx2 in Slc26a4-expressing cells from the endolymphatic sac and kidneys, potentially significant in ion homeostasis and SLC26A4 regulation. This study highlights the specificity and complexity of SLC26A4 expression and highlights the challenges and limitations of single-cell analysis. Future research should address regulatory elements such as low-expression genes, splicing variants, and non-coding RNAs to enhance our understanding of SLC26A4 regulation across various cellular contexts.
Luxury Fashion and Media Communication: Between the Material and Immaterial, Paula von Wachenfeldt and Magdalena Petersson McIntyre (eds) (2024)
Authors: Wang Zhe
Published: February 2025

Review of: Luxury Fashion and Media Communication: Between the Material and Immaterial, Paula von Wachenfeldt and Magdalena Petersson McIntyre (eds) (2024)

New York: Bloomsbury Visual Arts, 214 pp.,

ISBN 978-1-35029-106-5, h/bk, £85.00
Dress and Identity in America: The Baby Boom Years 1946–1964, Daniel Delis Hill (2024)
Authors: Paoletti Jo B.
Published: February 2025

Review of: Dress and Identity in America: The Baby Boom Years 1946–1964, Daniel Delis Hill (2024)

London: Bloomsbury Visual Arts, 242 pp.,

ISBN 978-1-3503, h/bk, $80.50
Latin American and Latinx Fashion Design Today: ¡Moda Hoy!, Tanya Meléndez-Escalante and Melissa Marra-Alvarez (2024)
Authors: Bolton Kendel R.
Published: February 2025

Review of: Latin American and Latinx Fashion Design Today: ¡Moda Hoy!, Tanya Meléndez-Escalante and Melissa Marra-Alvarez (2024)

New York: Bloomsbury, 272 pp.,

ISBN 978-1-35034-395-5, h/bk, $42.40
Fostering Employee Job Satisfaction in The Hospitality Industry: The Role of Organizational Culture, Motivation, and Appraisals Mediated by Service Innovations Case of Hotels in Bali
Authors: Hatidja St , Syahribulan Syahribulan , Thaha Salmiyah , Jamaluddin Jamaluddin , Azizurrohman Muhammad
Published: February 2025

This study examines how organizational culture, employee motivation, and performance appraisal impact job satisfaction, moderated by the work environment, within Bali’s hotel industry. Using a structured questionnaire, data from 305 employees were analyzed with SmartPLS to assess validity, reliability, and test hypotheses. Results reveal that organizational culture, employee motivation, and performance appraisal significantly enhance job satisfaction. The work environment strengthens these relationships, shown by path coefficients of 0.242 for culture, 0.136 for motivation, and 0.467 for appraisal. Findings underscore the importance of a supportive work environment in maximizing HRM efforts. Managers should cultivate a positive culture, motivate employees, and ensure fair appraisals to improve satisfaction, retention, and service quality. Self-reported data may introduce bias, limiting the generalizability across different hotel settings
Strengthening the Competitive Image of Private Islamic Higher Educational Institutions in Indonesia as an Effective Marketing Material: The Mediating Role of Service Innovation
Authors: Riofita Hendra
Published: February 2025

This study is carried out to employ service innovation to trigger effective leader and employee involvement effect respectively on competitive image to respond highly competitive market in recruiting prospective students. This survey study takes the data processed with SPSS and Amos program using a questionnaire sent in the form of Google link to the elements of the leaders organizing Private Islamic Higher Educations in Indonesia. They are the respondents of this study taken using multi stage and simple random sampling method. The findings of this study show that service innovation triggers effective leader and employee involvement effect respectively on competitive image. Through the service innovation, effective leader and employee involvement can drive competitive image to be an effective marketing material to recruit prospective students. All constructs employed can manifest the role of institutional resources to compete as intended by resource-based view theory.   

 
Keywords: Islam, leadership, service innovation, image, higher education  
The Influence of Digital Competency, Employee Engagement, and Leadership Style on SME Employee Performance in Indonesia: Innovation Capability as A Mediator and Organizational Culture as A Moderator in the Society 5.0 Era
Authors: Tiong Piter , Sumaryo Partono , Simamora Siti Aisyah Putri
Published: February 2025

This study investigates the impact of digital competency, employee engagement, and leadership style on employee performance in Indonesian SMEs, framed within the Society 5.0 era. The study uniquely incorporates innovation capability as a mediator and organizational culture as a moderator, exploring how these factors enhance performance and innovation in a digitally advancing society. Using a quantitative approach and data from 350 SME employees, the findings demonstrate that digital competency, engagement, and leadership style significantly influence performance. Moreover, innovation capability mediates these relationships, while a supportive organizational culture strengthens the link between these factors and innovation. This study’s novel approach provides valuable insights into HRM strategies, emphasizing the need for ongoing digital skill development, engaged leadership, and adaptive cultural practices to drive resilience and innovation in SMEs. These findings contribute to the broader understanding of effective performance enhancement practices in the Society 5.0 context, providing actionable recommendations for SME managers.
Sucralfate and Honey in Burn Wound Healing: An Article Review
Authors: Wardhana Aditya , Farhana Nadya
Published: February 2025

Introduction : Several studies stated that sucralfate and honey topically promote wound healing process. Sucralfate has been used for stomatitis, excoriation in perianal and peristomal, ulcers, and burn wounds. Honey as a food which is taken orally, is also used topically for several kind of wounds including burn wounds. However, there is no study reviewing sucralfate and honey in burn wounds.Method : Literature review was conducted from 1st until 6th of June 2022 using the terms of “honey”, “sucralfate”, “burns” and “wound healing”. Pubmed, Cohrane, Science Direct, Scopus, and Google Scholar were the online data bases we used. We identified eight studies, three trials evaluated the effects of sucralfate in burn wounds and five trials evaluated the effects of honey in burn wounds.Result : 3 Randomized Controlled Trials (RTCs) (n=170) about the effects of sucralfate and 5 RCTs (n=474) reported the effects of honey in burn wounds. Both Sucralfate and Honey group had similar wound healing duration around 18 days and had early sign of wound healing by day 7. Honey has faster complete wound healing compared to sucralfate by day 21. Honey has remarkable antimicrobial effect within one hour. No side effects were reported in both trials. Both honey and sucralfate reduce the necessity for skin grafting.Conclusion: Both sucralfate and honey have similar rapid re-epithelization in burn wounds, but honey has faster complete wound healing by day 21. Both has similar antimicrobial effect, no side effects, and reduce the necessity for skin grafting.
Patients’ Profile of Cleft Lip and Palate : 3 Years Evaluation at Surabaya CLP Center Foundation
Authors: Widjaja Febe Alodia , Saputro Iswinarno Doso
Published: February 2025

Introduction: Cleft lip and cleft palate are the most common birth defects affecting newborns, yet their variability across each geographic origin is not clearly understood. This study aims to investigate the CL/P prevalence, profile, and corrective surgery timing in Surabaya, Indonesia.Method: This retrospective research used a descriptive method by collecting medical data records from the Surabaya CLP Center Foundation from January 2021 to December 2023, which related to sociodemographic problems, clinical features, and management timing were then statistically analyzed.Results: A total of 495 patients underwent cleft surgery, of which 59.4% were male and 40.6% were female. The most common type of Craniofacial Cleft observed is Combination Cleft Lip and Palate “CLP” (71.1%). CLP is more common in male patients than in female patients (43.4% vs. 27.7%); while CL is more common among males (14.1% vs. 9.7%) and CP is more common in females (3.2% vs. 1.8%). Significantly, complete clefts (72.9%) were more common than the incomplete clefts (27.1%). Unilateral clefts were more common than bilateral clefts (76.2% vs 18.8%). It was observed that only 22% of patients had a family history of CL/P. Overall, 74,9% of patients underwent corrective surgery within the right period.Conclusions: The data shows that most patients tended to seek medical advice and treatment at appropriate times, suggesting a high awareness of CLP as the result of proactive education and social outreach by the charity institution. Further investigations using data from other institutions are suggested to conclude the CLP management in Surabaya entirely.
ANALYSIS AN EXTRA-HIGH VOLTAGE TRANSMISSION LINE INTEGRATED WITH ZIGBEE SENSOR NETWORK
Authors: Pakka Hariani Ma'tang , Masa M. Anas , Syarifuddin Andi , Al Ghamdi Ahmed Saeed , Suyuti Saidah
Published: February 2025

The abundance and variety of sensor nodes in intelligent transmission lines make them unique and distinguishable. These nodes are essential components of the system, providing valuable data and information that enable efficient and effective communication. Intelligent transmission lines are characterized by their abundance and diverse range of sensor nodes. Comparing and analyzing performance metrics for star, tree, and mesh networks with the same attribute configuration includes application layer end-to-end latency and MAC layer throughput. By utilizing the ZigBee protocol in conjunction with OPNET, this is accomplished via the modeling and simulation of a wireless sensor network structure for intelligent transmission lines. An extra-high voltage transmission line that integrates multiple embedded sensing nodes was equipped with an appropriate ZigBee wireless network architecture. Following the integration of the tower's scenarios and results simulation of OPNET, the compatibility between mesh and ZigBee wireless network topology of the transmission lines, comprising several embedded sensing nodes, has been confirmed.