bluuebunny/crossref_metadata_2025_split huggingface dataset:
Lagrangian multiforms on coadjoint orbits for finite-dimensional integrable systems
Authors: Caudrelier Vincent , Dell’Atti Marta , Singh Anup Anand 
Published: February 2024

AbstractLagrangian multiforms provide a variational framework to describe integrable hierarchies. The case of Lagrangian 1-forms covers finite-dimensional integrable systems. We use the theory of Lie dialgebras introduced by Semenov-Tian-Shansky to construct a Lagrangian 1-form. Given a Lie dialgebra associated with a Lie algebra $$\mathfrak {g}$$
g
and a collection $$H_k$$

H
k

, $$k=1,\dots ,N$$

k
=
1
,
⋯
,
N

, of invariant functions on $$\mathfrak {g}^*$$

g

∗

, we give a formula for a Lagrangian multiform describing the commuting flows for $$H_k$$

H
k

on a coadjoint orbit in $$\mathfrak {g}^*$$

g

∗

. We show that the Euler–Lagrange equations for our multiform produce the set of compatible equations in Lax form associated with the underlying r-matrix of the Lie dialgebra. We establish a structural result which relates the closure relation for our multiform to the Poisson involutivity of the Hamiltonians $$H_k$$

H
k

and the so-called double zero on the Euler–Lagrange equations. The construction is extended to a general coadjoint orbit by using reduction from the free motion of the cotangent bundle of a Lie group. We illustrate the dialgebra construction of a Lagrangian multiform with the open Toda chain and the rational Gaudin model. The open Toda chain is built using two different Lie dialgebra structures on $$\mathfrak {sl}(N+1)$$

sl
(
N
+
1
)

. The first one possesses a non-skew-symmetric r-matrix and falls within the Adler–Kostant–Symes scheme. The second one possesses a skew-symmetric r-matrix. In both cases, the connection with the well-known descriptions of the chain in Flaschka and canonical coordinates is provided.
Work, Self, and Society: A Socio-historical Study of Morita Therapy
Authors: Wu Yu-Chuan 
Published: February 2024

AbstractMorita therapy is known as a psychotherapy grounded in the culture of Japan, particularly its Buddhist culture. Its popularity in Japan and other East Asian countries is cited as an example of the relevance and importance of culture and religion in psychotherapy. To complement such interpretations, this study adopts a socio-historical approach to examine the role and significance of work in Morita’s theory and practice within the broader work environment and culture of the 1920s and 1930s in Japan. Morita conceptualizedshinkeishitsuas a personality disease and a social illness caused by an alienating work environment. He proposed a remedy that emphasized the subjective emotional experience of work. To his primarily middle-class clients and readers, Morita’s reconciliation between the self and society and that between autonomy and compliance was persuasive and useful, providing a philosophy whereby they could integrate into the work environment without loss of self-worth. The socio-historical character of Morita therapy is vital to understanding its power and appeal during Morita’s time. Moreover, it sheds light on the complex interrelationships between work, mental health, and society.
The lexical semantics of finite control: A view from Japanese
Authors: Akuzawa Koyo , Kubota Yusuke 
Published: February 2024

AbstractIn this paper, we propose a semantic analysis of control verbs in Japanese that take finite clauses marked by the nominalizer koto. We argue for an analysis in which the invisible subject of the embedded clause is a run-of-the-mill zero pronoun and where the obligatory coreference relation between the controller and the embedded subject is mediated by a primarily semantic factor. At the heart of our analysis lies the idea that there is a common underlying meaning shared across apparently heterogeneous classes of koto-taking control verbs, which consists of a causal relation between a volitional action inherent in the meaning of the verb and a de se attitude denoted by the embedded clause. The semantic analysis we offer not only explains language-internal properties of Japanese control verbs with respect to tense morpheme distribution that have been attributed to syntactic factors in the previous literature, but it also suggests a hitherto unnoticed possible cross-linguistic generalization about finite control and embedded tense interpretation which we dub ‘hypothesis of relative tense in finite control.’
How Quickly Do Oil and Gas Wells “Water Out”? Quantifying and Contrasting Water Production Trends
Authors: Haines Seth S. , Varela Brian A. , Tennyson Marilyn E. , Gianoutsos Nicholas J. 
Published: February 2024

AbstractWater production from petroleum (oil and natural gas) wells is a topic of increasing environmental and economic importance, yet quantification efforts have been limited to date, and patterns between and within petroleum plays are largely unscrutinized. Additionally, classification of reservoirs as “unconventional” (also known as “continuous”) carries scientific and regulatory importance, but in some cases the distinction from "conventional" wells is unclear. Using water, oil, and gas production data, we calculated a set of quantitative metrics that elucidate trends in the water-to-petroleum ratio over the life of each producing well. The percent growth of the water-to-petroleum ratio quantifies the degree to which a well “waters out” over time; values calculated for 153,900 wells in 18 oil and gas plays show generally much higher values for conventional wells than for continuous/unconventional wells. Analysis of the percent growth along with the slope and median metrics reveals greater variation between conventional plays and between continuous (unconventional) plays than previously recognized. Further, an example from the Bakken Formation in the Williston Basin, USA, illustrates that, within a single play, the metrics provide insight into spatial variation of water production trends, as influenced by geology and reservoir characteristics. By quantifying the variability of water production trends within individual plays and between plays, including differences between conventional and continuous (unconventional) plays, these results provide a more nuanced view of water production from oil and gas wells than has previously been possible and they illustrate the degree to which water management considerations vary spatially and temporally.
Leptomeningeal carcinomatosis and brain metastases in gastroesophageal carcinoma: a real-world analysis of clinical and pathologic characteristics and outcomes
Authors: Baccili Cury Megid Thais , Baskurt Zeynep , Ma Lucy X. , Barron Carly C. , Farooq Abdul , Saltiel Marie Phillipe , Wang Xin , Bach Yvonne , Ayoama Hiroko , Jang Raymond W. , Chen Eric , Veit-Haibach Patrick , Wang Ben , Kalimuthu Sangeetha , Cotton James , Wong Rebecca , Mesci Aruz , Elimova Elena 
Published: February 2024

Abstract
Background
Brain metastasis (BrM) and Leptomeningeal Carcinomatosis (LMC) are uncommon complications in gastroesophageal carcinoma (GEC) patients. These patients have a poor prognosis and are challenging to treat. We described the clinicopathologic features and outcomes in the largest cohort of Central Nervous System (CNS) metastasis in GEC patients.

Methods
single-center retrospective study of GEC treated from 2007 to 2021. Clinicopathologic characteristics and treatment modalities were reviewed. Survival was calculated from the date of CNS diagnosis until date of death/last follow-up using the Kaplan-Meier method. A multivariable Cox proportional hazards regression model was used.

Results
Of 3283 GEC patients, 100 (3.04%) were diagnosed with BrM and 20 with LMC (0.61%). Patients with known human epidermal growth factor receptor 2 (HER2) status (N = 48), 60% were HER2 positive (defined as IHC 3 + or IHC 2+/FISH+). Among LMC patients most were signet-ring subtype (85%), and only 15% (2/13) were HER2 positive. Median survival was 0.7; 3.8; and 7.7 months in BrM patients treated with best supportive care, radiation, and surgery, respectively (p < 0.001). In LMC, median survival was 0.7 month in patients who had best supportive care (7/19) and 2.8 months for those who had whole brain radiation therapy (p = 0.015). Multivariate analysis showed worse outcomes in ECOG ≥ 2 (p = 0.002), number of BrM ≥ 4 (p < 0.001) and number of metastatic sites (p = 0.009).

Conclusion
HER2 expression were enriched in patients with BrM, while it is uncommon in LMC. Patients treated with surgery followed by radiation had an improved OS in BrM and WBRT benefited patients with LMC.
TLS-RWKV: Real-Time Online Action Detection with Temporal Label Smoothing
Authors: Zhu Ziqi , Shao Wuchang , Jiao Dongdong 
Published: February 2024

AbstractOnline action detection (OAD)is a challenging task that involves predicting the ongoing action class in real-time streaming videos, which is essential in the field of autonomous driving and video surveillance. In this article, we propose an approach for OAD based on the Receptance Weighted Key Value (RWKV) model with temporal label smooth. The RWKV model captures temporal dependencies and computes efficiently at the same time, which makes it well-suited for real-time applications. Our TLS-RWKV model demonstrates advancements in two aspects. First, we conducted experiments on two widely used datasets, THUMOS’14 and TVSeries. Our proposed approach demonstrates state-of-the-art performance with 71.8% mAP on THUMOS’14 and 89.7% cAP on TVSeries. Second, our proposed approach demonstrates impressive efficiency, running at over 600 FPS and maintaining a competitive mAP of 59.9% on THUMOS’14 with RGB features alone. Notably, this efficiency surpasses the prior state-of-the-art model, TesTra, by more than two times. Even when executed on a CPU, our model maintains a commendable speed, exceeding 200 FPS. This high efficiency makes our model suitable for real-time deployment, even on resource-constrained devices. These results showcase the effectiveness and competitiveness of our proposed approach in OAD.
A deep semi-supervised machine learning algorithm for detecting transportation modes based on GPS tracking data
Authors: Sadeghian Paria , Golshan Arman , Zhao Mia Xiaoyun , Håkansson Johan 
Published: February 2024

AbstractTransportation research has benefited from GPS tracking devices since a higher volume of data can be acquired. Trip information such as travel speed, time, and most visited locations can be easily extracted from raw GPS tracking data. However, transportation modes cannot be extracted directly and require more complex analytical processes. Common approaches for detecting travel modes heavily depend on manual labelling of trajectories with accurate trip information, which is inefficient in many aspects. This paper proposes a method of semi-supervised machine learning by using minimal labelled data. The method can accept GPS trajectory with adjustable length and extract latent information with long short-term memory (LSTM) Autoencoder. The method adopts a deep neural network architecture with three hidden layers to map the latent information to detect transportation mode. The proposed method is assessed by applying it to the case study where an accuracy of 93.94% can be achieved, which significantly outperforms similar studies.
Ethnic heterogeneity and healthcare utilization: The mediating role of poverty in Ghana
Authors: Adabor Opoku , Ayesu Enock Kojo 
Published: February 2024

AbstractsThe healthcare that a woman receives during pregnancy, at the time of delivery, and soon after delivery is imperative for the well-being and survival of both the mother and her child. Hence, understanding the factors that influence the utilization of healthcare around the period of birth is important for improving the health of the mother and her child as well as reducing maternal mortality. Although numerous studies have examined the factors that influence the utilization of healthcare around the period of birth, no study has considered the role of ethnic heterogeneity. This paper bridges a significant gap in the literature by reporting findings from the first study that examines the effect of ethnic heterogeneity on healthcare utilization in Ghana. The study utilized data from both the Demographic Health Survey and Ghana Population and Housing Census. Our estimates show that a unit increase in a heterogenous ethnic group lowers the likelihood of utilizing healthcare at the time of birth and after delivery via increasing household poverty.
Gender Differences in Multidimensional Poverty in Brazil: A Fuzzy Approach
Authors: Tavares Fernando Flores , Betti Gianni 
Published: February 2024

AbstractThis study aims to improve the measurement of multidimensional poverty for the purpose of analyzing gender differences while considering the limitations of household surveys. To effectively analyze gender disparities, it addresses three issues that are often overlooked in the literature: disregard for within-household inequalities in household-level indicators; disregard for ineligible populations in indicators that represent only a specific group; and disregard for intermediate deprivation situations in cutoff-based poverty estimations. Using data from the Brazilian Consumer Expenditure Survey 2017–2018, we create two indexes with indicators that are key aspects in gender and feminist analyses. Applying a fuzzy approach and the Alkire–Foster method, we estimate multidimensional poverty and gender differences from three perspectives: intrahousehold, interhousehold, and intracouple. We also calculate inequality among the poor and intracouple gender gaps proposing fuzzy versions for these analyses. The main findings suggest that women are disadvantaged in terms of work and time quality, economic security, and access to resources—all of which are crucial components of agency or degree of empowerment.
Assessing opportunities of SYCL for biological sequence alignment on GPU-based systems
Authors: Costanzo Manuel , Rucci Enzo , García-Sanchez Carlos , Naiouf Marcelo , Prieto-Matías Manuel 
Published: February 2024

AbstractBioinformatics and computational biology are two fields that have been exploiting GPUs for more than two decades, with being CUDA the most used programming language for them. However, as CUDA is an NVIDIA proprietary language, it implies a strong portability restriction to a wide range of heterogeneous architectures, like AMD or Intel GPUs. To face this issue, the Khronos group has recently proposed the SYCL standard, which is an open, royalty-free, cross-platform abstraction layer that enables the programming of a heterogeneous system to be written using standard, single-source C++ code. Over the past few years, several implementations of this SYCL standard have emerged, being oneAPI the one from Intel. This paper presents the migration process of theSW# suite, a biological sequence alignment tool developed in CUDA, to SYCL using Intel’s oneAPI ecosystem. The experimental results show thatSW# was completely migrated with a small programmer intervention in terms of hand-coding. In addition, it was possible to port the migrated code between different architectures (considering multiple vendor GPUs and also CPUs), with no noticeable performance degradation on five different NVIDIA GPUs. Moreover, performance remained stable when switching to another SYCL implementation. As a consequence, SYCL and its implementations can offer attractive opportunities for the bioinformatics community, especially considering the vast existence of CUDA-based legacy codes.
Parallel GEMM-based convolution for deep learning on multicore RISC-V processors
Authors: Ramírez Cristian , Castelló Adrián , Martínez Héctor , Quintana-Ortí Enrique S. 
Published: February 2024

AbstractWe address the efficient implementation of the convolution operator on the GAP8 parallel ultra-low power platform (PULP), a heterogeneous multi-core processor equipped with a fabric controller (FC); a cluster of eight compute cores; and a four-level memory hierarchy with scratchpads instead of conventional, hardware-assisted cache memories. Our solution for this platform transforms the convolution into a general matrix–matrix multiplication (gemm) via the lowering approach, demonstrating that it is possible to attain reasonable performance on the GAP8 by carefully adapting techniques such as tiling and loop parallelism, which are mainstream in the multi-threaded, cache-aware realization of gemm.
Redescription of three pinworms of the genus Cephalobellus Cobb, 1920 (Nematoda: Oxyuridomorpha: Thelastomatidae) from scarab beetle grubs from Hungary
Authors: Balog Luca Eszter , Ahmed Mohammed , Holovachov Oleksandr 
Published: February 2024

AbstractLarvae of European rose chafer Cetonia aurata (Linnaeus, 1758) and cockchafer Melolontha sp. beetles were collected in Hungary for parasitological study. Intestinal examination revealed the presence of three well-known thelastomatid nematodes belonging to the genus Cephalobellus Cobb, 1920. We report for the first-time Cephalobellus cuspidatum (Rudolphi, 1814) Leibersperger, 1960, C. osmodermae Leibersperger, 1960, and C. potosiae Leibersperger, 1960 in Hungary, all found in scarab beetle larvae. Due to incomplete original descriptions, a comprehensive redescription with detailed morphological data is presented. Additionally, an identification key for closely related Cephalobellus, Thelastoma and Severianoia species infesting scarab beetles worldwide is provided. Newly generated 18S and 28S rDNA gene sequences of C. osmodermae place it as one of the early branches within Thelastomatidae.
Prevalence and associated factors of excessive daytime sleepiness in rural older adults: a population-based study
Authors: Ren Juan , Liu Rui , Zhao Tong , Lu Jie , Liu Cuicui , Hou Tingting , Wang Yongxiang , Cong Lin , Du Yifeng , Tang Shi , Qiu Chengxuan 
Published: February 2024

Abstract
Objective
To investigate the prevalence and associated factors of excessive daytime sleepiness (EDS) among rural-dwelling Chinese older adults.

Methods
We collected data on demographic, epidemiological, and clinical factors via in-person interviews and clinical examinations following a structured questionnaire. The 15-item Geriatric Depression Scale (GDS-15) was used to assess depressive symptoms, the Berlin questionnaire (BQ) to assess obstructive sleep apnea (OSA) risk; and the Epworth Sleepiness Scale (ESS) to assess sleep characteristics. EDS was defined as the total ESS score > 10.

Results
This population-based study engaged 4845 participants (age ≥ 65 years, 57.3% female) in the 2018 examination of the Multimodal Interventions to Delay Dementia and Disability in Rural China. The prevalence of EDS was 9.3% in the total sample, 8.3% in females, and 10.6% in males, and the prevalence decreased with advanced age. Logistic regression analysis revealed that EDS was significantly associated with age (multivariable-adjusted odds ratio [OR] = 0.97; 95% confidence interval [CI] 0.95–0.99), female sex (0.53; 0.36–0.77), hypertension (0.68; 0.54–0.85), depressive symptoms (2.68; 2.07–3.46), high OSA risk (2.11; 1.69–2.63), and poor sleep quality (2.12; 1.60–2.82).

Conclusion
EDS affects nearly one-tenth of rural older adults in China. Older age, female sex, and hypertension were associated with a decreased likelihood of EDS, while depressive symptoms, high OSA risk, and poor sleep quality were correlated with an elevated likelihood of EDS.
Radon indoors source potential from soil gas in a temperate climate: impact of infiltration rate and seismicity
Authors: Stoulos Stylianos 
Published: February 2024

AbstractIndoor radon source potential from unground soil was monitored using prototype devices approaching a dwelling with a cellar basement at 1 depth from the soil-atmosphere interface. Therefore, the radon concentrations in soil gas were monitored at 1 m depth. Integrated radon measurements were performed, and the results correlated with meteorological parameters. The influence of the difference in outdoor and device-soil temperature was considered, and the infiltration rate was calculated. The effect of the soil temperature gradient on the soil radon entry rate was evaluated. The indoor radon entry rate due to the soil gas was 7.0 ± 2.7 Bq m−3 h−1. The radon entry rate was 5.0 ± 0.8 Bq m−3 h−1 due to diffusion. In contrast, the advection-drive flow of soil gas is ranged up to ± 4.0 Bq m−3 h−1. So, the infiltration rate of the model dwelling was 0.7 (± 0.5) × 10−1 h−1 if only the stack effect occurred. The radon levels in tap water were measured, and the radon entry rate was estimated at 1.3 ± 0.7 Bq m−3 h−1. If the ventilation rate is low or seismic faulting appears, the soil radon entry is increased by one order of magnitude. The soil radon appeared like the building materials, having 1/3 of the total indoor radon entry, while outdoor air was slightly lower (28%), with tap water at 5%. The resident’s mortality risk occurred at < 2.5% for typical dwellings in temperate climate areas founded on sand-gravel underground. The risk rises to 34% with an extremely low ventilation rate between indoors and outdoors or high radon entry from the soil due to seismic faulting.
Managing conflicting agendas: serial entrepreneurs and venture capitalists in the IPO process
Authors: Mousa Fariss-Terry , Gallagher Scott R. 
Published: February 2024

AbstractVenture capital firms play a crucial role in entrepreneurial success. Similarly, due to their experience and expertise, serial entrepreneurs have been shown to have positive but diminishing effects on the firms with which they are involved. However, what is the effect of mixing serial entrepreneurs with venture capitalists? This study advances our knowledge of venture capitalists and serial entrepreneurs by adopting a human capital-driven multi-agency theoretical framework for their interplay on performance and process issues. Counterintuitively, we find that serial entrepreneur involvement correlates with lower IPO values, but consistent with MAT theory, it lengthens the time to IPO.
Measuring costly behavioral bias factors in portfolio management: a review
Authors: Gorzon David , Bormann Marc , von Nitzsch Ruediger 
Published: February 2024

AbstractVarious factor models extended by Jensen’s (J Financ 23:389–416, 1968) alpha have been used to measure the retail investors’ portfolio (under-) performance compared to the market portfolio. The previous studies tried to explain this anomaly in behavioral finance by examining retail investors’ cognitive biases that induce irrational trading behavior. While operationalizing these cognitive biases in trading is not trivial, researchers still have found measures to proxy for biases and prove their statistical and economic significance. However, these studies only focused on linking one or a subset of behavioral biases and their effect on portfolio performance. In addition, different measures of biases across studies complicate the comparability of results. Therefore, this paper provides a structured overview of the current state of the literature regarding behavioral biases and their measurements to design a behavioral factor model that should help to explain the performance alpha from a behavioral finance perspective. The paper presents an overview of 11 behavioral bias factors and 29 corresponding measurements to consider inputting in such a model. With an application-oriented focus, it is recommended to include the most researched bias factors in a factor model, which are also the most detrimental to portfolio performance, as well as to include the most frequently used and least complex measures, which results in the primary inclusion of the following eight behavioral bias factors: disposition effect, under-diversification, home bias, local bias, lottery stock preference, trend chasing, overtrading, and trade clustering.