bluuebunny/crossref_metadata_2025_split huggingface dataset:
Measuring productivity based on the reduction of produced capital to labor
Authors: Kang Duyong 
Published: November 2023

Abstract
Noting that capital is a produced factor of production, this paper explores the measurement of productivity based on the reduction of capital to labor. Specifically, it examines two productivity indicators based on this approach: ‘the modified Solow residual’ (MSR) and ‘total labor productivity’ (TLP), defined as the quantity of output per unit input. The study finds that MSR is a more general indicator of the growth contribution of technological progress than the conventional Solow residual in that it provides accurate estimates of the growth contribution for all types of technological progress and reduces to the conventional Solow residual in the case of Hicks-neutral technological progress. TLP is found to provide a broader perspective on productivity as it encompasses the efficiency of factor allocation as well as the level of technology. This paper also estimates the MSR of the Korean economy and compares it with conventional Solow residual estimates.
HSF-1 promotes longevity through ubiquilin-1 dependent mitochondrial network remodelling
Authors: Labbadia Johnathan , Erinjeri Annmary , Wang Xunyan , Williams Rhianna , Chiozzi Riccardo Zenezini , Thalassinos Konstantinos 
Published: November 2023

Abstract

Increased activity of the heat shock factor, HSF-1, suppresses proteotoxicity and enhances longevity. However, the precise mechanisms by which HSF-1 promotes lifespan are unclear. Using an RNAi screen, we have identified ubiquilin-1 (ubql-1) as an essential mediator of lifespan extension in worms overexpressing hsf-1. We find that hsf-1 overexpression leads to transcriptional downregulation of all components of the CDC-48-UFD-1-NPL-4 complex, which is central to both endoplasmic reticulum and mitochondria associated protein degradation, and that this is complemented by UBQL-1-dependent turnover of NPL-4.1. As a consequence, mitochondria undergo extensive remodelling, leading to metabolic rewiring and increased lifespan. Together, our data are the first to establish that HSF-1 mediates lifespan extension through mitochondrial network adaptations that occur in response to the down-tuning of organellar protein degradation pathways.
Assisted cloning of an arbitrary unknown d-dimension state
Authors: Zhai Deng-xin , Peng Jia-yin , Maihemuti Nueraminaimu , Tang Jiang-gang 
Published: November 2023

Abstract

The purpose of this article is to further investigate the assisted cloning of a d-dimensional arbitrary unknown state by utilizing quantum teleportation (QT) and remote state preparation (RST) techniques. We first propose a scheme for cloning an arbitrary unknown single-qudit state with assistance from a state preparer. In this scheme, the maximally and non-maximally bipartite d-dimensional states are used as quantum channels, respectively. In the first stage of scheme requires usual QT and in the second stage, the state preparer disentangles the left over entangled states by introducing one auxiliary qudit and performing a generalized CNOT, a single-qudit positive operator-valued measurement (POVM) and a single-qudit projective measurement process and conveys some classical messages to different parties so that a copy is produced probabilistically with the unit fidelity.Then by replacing the maximally or non-maximally bipartite d-dimensional entangled channel with a sequence of maximally or non-maximally bipartite d-dimensional entangled states as quantum channel, we can extend the above scheme to the case of cloning a d-dimensional arbitrary unknown m-qudit state with the unit fidelity and a certain probability in the help of the state preparer.
PACS numbers 03.67.Hk, 03.67.-a, 03.65.Bz
The Study of Vaginal Wall Thickness in Adults Based on Histopathological Measurements
Authors: Wang Xinrong , Liu Juan , Zou Juan , Luo Can , Wei Dongmei 
Published: November 2023

Abstract

Purpose: To accurately measure the vaginal mucosa thickness across different age groups by histopathologic techniques and to investigate the factors that may influence the thickness changes.
Methods：A retrospective analysis was conducted on clinical data from 348 patients who underwent local vaginal wall resection at the West China Second University Hospital, Sichuan University, from January 2021 and May 2022. The thickness of vaginal mucosa, epithelium and lamina propria was measured precisely under the microscope. And the 10th, 25th, 50th, 75th, and 90th percentile values of vaginal mucosa thickness across different age groups were counted and charted a dot-line plot .
Result: The percentile values for vaginal mucosa thickness exhibited a decreasing trend with increasing age; vaginal mucosa thickness showed significant correlations with times of delivery (P=0.031) and age (P<0.001), both of which were negatively associated. And vaginal mucosa thickness demonstrated no significant correlation with body mass index (BMI) (P=0.325), times of abortions (P=0.511), times of gestation (P=0.101), menstrual cycle (P=0.533), or types of delivery (P=0.056); epithelial thickness showed significant associations with age (P<0.001) and types of delivery (P=0.017), both of which were negative correlations. Moreover, BMI (P= 0.429), times of abortions (P=0.764), delivery (P=0.079), gestation (P=0.475), and menstrual cycle (P=0.950) were nonassociated with epithelial thickness; lamina propria thickness displayed a significant correlation only with age (P=0.002), and there were no obvious correlations observed between lamina propria thickness and BMI (P=0.374), times of abortion (P=0.417), delivery (P=0.053), gestation (P=0.101), types of delivery (P=0.132) and menstrual cycle (P=0.495). Moreover, when the age segmentation was thresholded at 35 and 50 years, both epithelial thickness and vaginal mucosa thickness were significantly correlated with age (P< 0.05). Lamina propria thickness was associated with age when the age threshold was set at 35 years (P=0.007), whereas it showed no strong link with age when the age threshold was 50 years (P=0.072).
Conclusion: This study revealed a strong link between vaginal mucosa thickness and age, with epithelium likely playing a predominant role, while the association with lamina propria appeared to be less significant. The potential relationship with the lamina propria needs to be explored on the basis of a larger sample size for further study.
Generative text-to-image diffusion for automated map production based on geosocial media data
Authors: Dunkel Alexander , Burghardt Dirk , Gugulica Madalina 
Published: November 2023

Abstract
The state of generative AI has taken a leap forward with the availability of open source diffusion models. Here, we demonstrate an integrated workflow that uses text-to-image Stable Diffusion at its core to automatically generate icon maps such as for the area of the Großer Garten, a tourist hotspot in Dresden, Germany. The provided workflow is based on the aggregation of geosocial media data from Twitter, Flickr, Instagram, and iNaturalist. This data is used to create diffusion prompts, to account for the collective attribution of meaning and importance by the population in map generation. Specifically, we contribute methods for simplifying the variety of contexts communicated on social media, through spatial clustering and semantic filtering, for use in prompts, and then demonstrate how this human-contributed baseline data can be used in prompt engineering to automatically generate icon maps. Replacing labels on maps with expressive graphics has the general advantage of reaching a broader audience, such as children and other illiterate groups. For example, the resulting maps can be used to inform tourists of all backgrounds about important activities, points of interest, and landmarks without the need for translation. Several challenges are identified and possible future optimizations are described for different steps of the process. The code and data are fully provided and shared in several Jupyter notebooks, allowing for transparent replication of the workflow and adoption to other areas or datasets.
A quantitative analysis method on the scale, shape and quantity of rockeries in Chinese classical gardens - Taking Wanfang Anhe Rockery in the Old Summer Palace as an example
Authors: Li Xinchen , He Xiaoxiao , Xiao Yuqing , Jia Shizhen , Qin Ke 
Published: November 2023

Abstract
Currently, the use of digital technology for the protection and research of cultural heritages has become a trend in this field. These rockeries in Chinese classical gardens have become an important cultural heritage type because of unique shape, ingenious skills and rich connotations. The research difficulty lies in how to objectively describe, quantitatively analyze and evaluate such rockeries in an accurate way. Based on relevant historical information and 3D digital technology, this paper puts forward a quantitative analysis method on the scale, shape and quantity of rockeries in Chinese classical gardens, aiming at exploring the objective description and quantitative analysis path of rockeries at different levels, and taking Wanfang Anhe Rockery in the Old Summer Palace as an example for objective and comprehensive quantitative analysis and verification. Such method is based on quantitative analysis and fine management, and is carried out from four levels, i.e. overall, regional, hierarchical and individual. The above method is used to quantitatively analyze and verify Wanfang Anhe Rockery, wherein the overall scale of such rockery is determined based on the viewing position and viewing line of sight, the regional data show that the precipice area (B) and the drop area (D) are the main areas for rockery construction, Area D is divided into two hierarchies through slices and elevations and Area B is divided into three hierarchies at the hierarchical level, as well as at the individual level, there are 336 rocks in total in this rockery and 275 rocks in Area B, and all the viewing range, overall rockery height, material characteristics and stacking mode have a strong impact on the scale of individual rocks. This method is feasible and effective for quantitative analysis of the scale, shape and quantity of rockeries, which can help understand the basic background of stone rockeries and enhance a refined understanding of stone rockery construction, thereby providing data for preventive protection and informatization management of stone rockeries. The 3D rockery model database based on the overall, regional, hierarchical and individual quantitative analysis and numbering method brings a good application prospect for preventive protection and informatization management of the rockery.
Load observer for cable failure detection in Cable Driven Parallel Robots: a machine learning approach
Authors: Bettega Jason , Piva Giulio , Richiedei Dario , Trevisani Alberto 
Published: November 2023

Abstract

This paper proposes a method for cable failure detection in Cable Driven Parallel Robots (CDPR) which is based on the exploitation of the load observer (LO) concept together with machine learning algorithms. By just exploiting the dynamic model of each actuator in the conditions of no load, a LO is designed for each motor to estimate the presence of a load coupled through a cable. Since the load instantaneously goes to zero for the motor with a broken cable, a simple but effective and robust signature of failure can be inferred, to provide reliable detection even in the case of various model mismatches. Additionally, the LO is not computationally demanding since just motor measurements are required, thus avoiding any direct measurement (and a dynamic model as well) on the end-effector. The detection of a failure in made through supervised classification algorithms based on artificial intelligence. The training of the machine learning algorithm is based on an “hybrid” approach: the dataset includes several failure cases which are numerically generated through a system digital twin developed through the multibody system theory, together with measurements of the real system in non-failing conditions. Different classification algorithms are considered, together with different sets of input variables to be fed to the classifier. Two numerical examples are proposed, by showing the method capability in handling both fully actuated and redundantly actuated CDPRs under cable failure.
Effect of statins and testosterone replacement therapy on incident cardiovascular disease among male hormone-related cancer survivors
Authors: Haddad Danielle El , Kim Hyunkyoung , Polychronopolou Efstathia , Baillargeon Jacques , Villasante-Tezanos Alejandro , Kuo Yong-Fang , Gilani Syed , Khalife Wissam I. , Lopez David S. 
Published: November 2023

Abstract
Purpose: Statins and testosterone replacement therapy (TTh) have been previously linked with prostate, colorectal and male breast cancer (hereinafter we will refer as hormone related cancers [HRCa]), and cardiovascular disease (CVD). However, there is a poor understanding about the combined association of statins and TTh with incident CVD among HRCa survivors and a matched cancer-free cohort.
Methods: We identified 44,330 men of whom 22,165 were previously diagnosed with HRCa, and 22,165 were age-and index-matched cancer-free in SEER-Medicare 2007-2015. Pre-diagnostic prescription of statins and TTh prior to CVD development was ascertained for this analysis in the two matched cohorts. Weighted multivariable-adjusted conditional logistic regression models were used to evaluate the independent and combined associations of statins and TTh with CVD.
Results: We found that use of statins (OR = 0.51, 95% CI: 0.46–0.55) and TTh (OR = 0.81, 95% CI: 0.67–0.97) were each independently inversely associated with incident CVD in the overall sample. TTh plus statins was also inversely associated with CVD. Associations were similar in the matched cancer-free cohort. Among HRCa survivors, only statins and combination of TTh plus statins (OR = 0.60, 95% CI: 0.44–0.98) were inversely associated with CVD, but the independent use of TTh was not associated with CVD.
Conclusion: In general, pre-diagnostic use of statins and TTh, prior to CVD development, independently or in combination, were inversely associated with CVD in the overall, cancer-free population, and among HRCa survivors (mainly combination). Independent effects and combination of statins and TTh remained to be confirmed with specific CVD outcomes among HRCa survivors.
Revisiting the factors influencing consumer travel: an exploration of consumer travel for purchasing goods and experiencing services in Shanghai, China
Authors: Kang Ning , Niu Xinyi 
Published: November 2023

Abstract
This paper revisits the relationship among the perceived built environment, travel attitude, perceived value, and consumer travel in the particular era of the changing retail landscape amid advances in information technology. This study thus uses consistent partial least squares structural equation modelling (PLSc-SEM) to estimate the focal parameters based on data from 30 commercial centres in Shanghai, China. Additionally, this inquiry uses multigroup analysis structural equation modelling (MGA-SEM) to evaluate the disparities between two types of consumer travel: purchasing goods and experiencing services. The results show that consumers’ perceived values and travel attitudes significantly influence their travel and that these effects are even more apparent for experience services. In addition, the perceived built environment plays a partially positive role in consumer travel. Notably, however, accessibility cannot directly influence consumer travel, only indirectly influencing travel attitude, whereas commercial attractiveness positively influences both of these. Accordingly, this study offers valuable insights, enabling urban planning, transportation, and commercial services to better address the evolving retail landscape and emerging consumer travel demands.
Development and validation of a healthy work environment quality instrument
Authors: Shin Sunhwa , Lee Eun-Hye 
Published: November 2023

Abstract

Background As the importance of a healthy work environment for nurses' good practice and patient safety has been recognized, there is a need to assess nurses' perceptions of the quality of a healthy work environment. Methods The initial items for the instrument were developed through literature review and interviews. The initial items were evaluated for content validity by ten experts. Two hundred and forty-seven shift nurses participated in this study through face-to-face surveys to test the reliability and validity of the instrument. The evaluation was used for item and confirmatory factor analyses to assess the criterion-related validity and internal consistency of the instrument. Test-retest reliability was analyzed using data from thirty-two nurses. Results The final instrument consisted of 23 items with five sub-factors identified through confirmatory factor analysis. Criterion-related validity was established using the K-PES-NWI (r = .54). Cronbach's alpha for the total items was .85, and test-retest reliability was .73. Conclusion The results confirmed the validity and reliability of the developed instrument. This instrument can be used as a basis for evaluating the healthy work environment quality of shift nurses and creating a desirable nursing work environment.
Accurate prediction of HCC risk after SVR in patients with Hepatitis C cirrhosis based on longitudinal data
Authors: Zou Yanzheng , Yue Ming , Jia Linna , Wang Yifan , Chen Hongbo , Zhang Amei , Xia Xueshan , Liu Wei , Yu Rongbin , Yang Sheng , Huang Peng 
Published: November 2023

Abstract

Background
Most existing predictive models of hepatocellular carcinoma (HCC) risk after sustained virologic response (SVR) are built on data collected at baseline and therefore have limited accuracy. The current study aimed to construct an accurate predictive model incorporating longitudinal data using a novel modeling strategy. The predictive performance of the longitudinal model was also compared with a baseline model.
Methods
A total of 400 patients with HCV-related cirrhosis who achieved SVR with direct-acting antivirals (DAA) were enrolled in the study. Patients were randomly divided into a training set (70%) and a validation set (30%). Informative features were extracted from the longitudinal variables and then put into the random survival forest (RSF) to develop the longitudinal model. A baseline model including the same variables was built for comparison.
Results
During a median follow-up time of approximately 5 years, 25 patients (8.9%) in the training set and 11 patients (9.2%) in the validation set developed HCC. The areas under the receiver-operating characteristics curves (AUROC) for the longitudinal model were 0.9507 (0.8838–0.9997), 0.8767 (0.6972,0.9918), and 0.8307 (0.6941,0.9993) for 1-, 2- and 3-year risk prediction, respectively. The brier scores of the longitudinal model were also relatively low for the 1-, 2- and 3-year risk prediction (0.0283, 0.0561, and 0.0501, respectively). In contrast, the baseline model only achieved mediocre AUROCs of around 0.6 (0.6113, 0.6213, and 0.6480, respectively).
Conclusions
Our longitudinal model yielded accurate predictions of HCC risk in patients with HCV-relate cirrhosis, outperforming the baseline model. Our model can provide patients with valuable prognosis information and guide the intensity of surveillance in clinical practice.
Parameter Estimation for a Class of Stable Driven Stochastic Differential Equations
Authors: Manou-Abi Solym M. 
Published: November 2023

Abstract
In this paper, we consider parameter estimation for a stochastic process observed at some discrete times that is a solution of a given class of stochastic differential equations driven by α-stable processes, α ∈ (1, 2). Firstly, we consider the diffusion coefficients parameters estimation problem such as the scaling parameter and the driving stable process parameters. Secondly, we address the question of the joint estimation with the drift coefficients for Stable driven Cox–Ingersoll–Ross and Ornstein-Uhlenbeck processes. Our methodology which is based on the use of Nadaraya-Watson estimator is new according to the literature of such estimation problem. Indeed it is based on a combination of the characteristic sample function and the (linear or weighted) regression methods. We discuss the validity and efficiency of the numeric implementation of the estimators on synthetic data and real financial data as indexes and exchange rates. As a forthcoming work, we intend to provide a package (in the R programming language) for this type of estimation problem.
Combined use of graphical and statistical approaches for rainfall trend analysis in the Mae Klong River Basin, Thailand
Authors: Khalil Alamgir 
Published: November 2023

AbstractThe main purpose of this paper was to investigate the monthly, seasonal, and annual rainfall variability in the Mae Klong River Basin in Thailand using the Mann–Kendall (MK) test, Sen's slope method, Spearman's Rho (SR) test, and the innovative trend analysis (ITA) method. The monthly rainfall data of eight stations for the period 1971–2015 were used for trend analysis. Datasets with significant serial correlation were corrected by the trend-free pre-whitening (TFPW) approach for statistical methods. The MK test showed increasing rainfall trends for five out of eight stations in the dry season while 50% of stations indicated increasing trends in the wet season. On an annual scale, 75% of the stations exhibited increasing rainfall trends. The results of the SR test were in line with the MK test for seasonal and annual rainfall. The ITA method showed comparable findings with those of the statistical methods. For the entire basin, trend analysis found increasing rainfall on both seasonal and annual scales by all the tests. The findings of this study could benefit water supply and management, drought monitoring, agricultural production activities, and socioeconomic development in the Mae Klong River Basin in the future.
Water containers and the preferable conditions for laying eggs byAedesmosquitoes in Maros Regency, South of Sulawesi, Indonesia
Authors: Agus Nurjana Made , Srikandi Yuyun , Wijatmiko Tri Juni , Hidayah Nurul , Isnawati Rina , Octaviani Octaviani , Gunawan Gunawan , Samarang Samarang , Koraang Meiske Elisabeth , Anastasia Hayani , Ningsi Ningsi 
Published: November 2023

AbstractOne of the factors that influence the development of mosquitoes is the water container. This study was performed to determine the relationship between the characteristics of water containers and the preferable conditions for laying eggs by Aedes sp. A single larva method was conducted during March 2019 in 300 houses in two villages (Turikale and Adatongeng) at Maros Regency, Indonesia. In total, 1,269 water containers were considered, and among them buckets were found to be the most common container. Logistic regression analysis showed that the type, container location, and weekly drainage were related to the presence of larvae/pupae in the Maros Regency (p-value &lt; 0.05). Non-water containers, which are kept indoors and are not drained at least once a week, have a greater chance of breeding Aedes sp. More attention is given to non-water containers that are located inside the house. Prevention activities, especially draining water containers properly at least once a week ensures that they do not become breeding sites for Aedes sp. mosquitoes and helps to prevent the transmission of dengue viral fever.