bluuebunny/crossref_metadata_2025 huggingface dataset:
"Challenges and future in deep learning for sentiment analysis: a comprehensive review and a proposed novel hybrid approach"
Authors: Islam Md. Shofiqul , Kabir Muhammad Nomani , Ghani Ngahzaifa Ab , Zamli Kamal Zuhairi , Zulkifli Nor Saradatul Akmar , Rahman Md. Mustafizur , Moni Mohammad Ali
Published: February 2024

Social media is used to categorise products or services, but analysing vast comments is time-consuming. Researchers use sentiment analysis via natural language processing, evaluating methods and results conventionally through literature reviews and assessments. However, our approach diverges by offering a thorough analytical perspective with critical analysis, research findings, identified gaps, limitations, challenges and future prospects specific to deep learning-based sentiment analysis in recent times. Furthermore, we provide in-depth investigation into sentiment analysis, categorizing prevalent data, pre-processing methods, text representations, learning models, and applications. We conduct a thorough evaluation of recent advances in deep learning architectures, assessing their pros and cons. Additionally, we offer a meticulous analysis of deep learning methodologies, integrating insights on applied tools, strengths, weaknesses, performance results, research gaps, and a detailed feature-based examination. Furthermore, we present in a thorough discussion of the challenges, drawbacks, and factors contributing to the successful enhancement of accuracy within the realm of sentiment analysis. A critical comparative analysis of our article clearly shows that capsule-based RNN approaches give the best results with an accuracy of 98.02% which is the CNN or RNN-based models. We implemented various advanced deep-learning models across four benchmarks to identify the top performers. Additionally, we introduced the innovative CRDC (Capsule with Deep CNN and Bi structured RNN) model, which demonstrated superior performance compared to other methods. Our proposed approach achieved remarkable accuracy across different databases: IMDB (88.15%), Toxic (98.28%), CrowdFlower (92.34%), and ER (95.48%). Hence, this method holds promise for automated sentiment analysis and potential deployment.
Integration of Measurement-Based Care for Youth Depression and Suicidality Using VitalSign6
Authors: Mitchell Tarrah B. , Wakefield Sarah M. , Rezaeizadeh Afsaneh , Minhajuddin Abu , Pipes Ronny , Mayes Taryn L. , Elmore Joshua S. , Trivedi Madhukar H.
Published: February 2024

Depression and suicidality are prevalent in youth and are associated with a range of negative outcomes. The current study aimed to evaluate a measurement-based care (MBC) software (VitalSign6) tool to improve the screening and treatment of depression and suicidality in youth aged 8–17 years within a rural, underserved population. To assess for depression and suicidality, the Patient Health Questionnaire-2 was administered as an initial screen, and the Patient Health Questionnaire-9 Modified for Adolescents (PHQ-9-A) was administered if the initial screen was positive. Data were collected at medical clinics over one year, and descriptive statistics and t-tests or Wilcoxon-Mann-Whitney tests were conducted. A total of 1,984 youth were initially screened (mean age of 13 years; 51.6% female); 24.2% screened positive for depression, and 14.9% endorsed suicidality. Of those who screened positive, the mean PHQ-9-A score was 12.8; 66.9% had PHQ-9-A scores in the moderate to severe range, and 44.2% endorsed suicidality. Almost half of the youth who screened positive for depression had at least one follow-up assessment, and about one quarter achieved remission 4 months after initial screening. Adolescents (12–17 years) had higher PHQ-9-A scores, higher suicidality, and more follow-up assessments than younger youth (8–11 years). Younger youth had higher rates of remission. The widespread use of MBC was feasible in this setting. It is important to utilize MBC to identify and treat youth with depression and suicidality and to do so in younger populations to improve their trajectory over time; VitalSign6 is one tool to help achieve these goals.
Taxonomy of competence models based on an integrative literature review
Authors: Mikhridinova Nargiza , Wolff Carsten , Van Petegem Wim
Published: February 2024

An individual competence is one of the main human resources, which enables a person to operate in everyday life. A competence profile, formally captured and described as a structured model, may enable various operations, e.g., a more precise evaluation and closure of a training gap. Such application scenarios supported by information systems are particularly compelling for the era of digitalisation, although research on adequate models capturing competence profiles is still lacking; moreover, no research was revealed synthesizing models of competence, enabling operationalisation possibilities. To fulfil this gap, current research develops a classification of competence models in the form of taxonomy, derived from operational characteristics of competence constructs. Given conceptual fuzziness of the competence term and complex, interdisciplinary scope of the study, the research method follows integrative literature review principles: results of an extensive search conducted in three iterations were critically analysed and further synthesized in the form of taxonomy. This critical analysis was performed based on an overview of twenty-four competence models with a lens of working definitions of competence framework and model concepts. As a result, all three outcomes highlight the power of competence models: (1) the overview summarises models’ development methods, operationalisation, and purposes in a specific application domain, while (2) working definitions and (3) the taxonomy aim at overcoming a conceptual ambiguity of competence concepts. In addition, the presented taxonomy may serve as a knowledge base or a decision support tool on competence model selection when it comes to development of a competence management tool.
The effect of AI-powered chatbots in social studies education
Authors: Yeti̇şensoy Okan , Karaduman Hıdır
Published: February 2024

The aim of this research is to investigate the educational potential of AI-powered chatbots in Social Studies learning-teaching processes. The study was conducted using embedded design, evaluated within the framework of mixed methods research. The study group consists of 78 6th-grade students studying in three different classes, along with one teacher who implemented the practices and guided the process. During the experimental phase of the study, lessons in the experimental group were taught by the practitioner teacher using an AI-powered chatbot named “SosyalciBot”. Meanwhile, lessons in two control groups were taught following the constructivist approach. At the end of the process, it was determined that the experimental group students’ post-test and permanency test scores were significantly higher than the control group students’ scores in both post-test and permanency test. In the semi-structured interviews, both students and the practitioner teacher provided positive evaluations of the pedagogical and design features of the chatbot, indicating that these features positively impacted the learning-teaching process. They also identified some shortcomings while offering suggestions for improvement. Based on the study findings, it is evident that chatbots have a high potential to contribute to Social Studies education. However, to fully harness this potential and achieve optimal effectiveness, further advancements and refinements in chatbot technology are required. At this point, it is recommended to conduct theoretical or applied studies focusing on developing chatbots with high communication capacity and explore innovative and constructive ideas regarding the integration of chatbots into educational environments.
“This is Where the Care Can Step Up”: A Typology of Nurturing Pedagogies in Primary Schools Serving Low-Income Communities During COVID-19 Closures
Authors: Gleasure S. , Devine D. , Martinez Sainz G. , Sloan S. , Crean M. , Moore B. , Symonds J.
Published: February 2024

All schools possess a duty of care towards their students. However, this duty of care falls unevenly across schools, with those serving low-income communities often responding to the material and psychological effects of poverty as a priority. This duty of care for such schools was placed into stark relief during the period of COVID-19 school closures, when structural inequalities in society became particularly pronounced. Previous research has drawn distinctions between different forms of caring enacted in schools serving low-income communities. These range from practices centred on children’s academic learning to those more concerned with children’s welfare and well-being—which, for the purposes of this paper, we term as academic nurturing and affective nurturing respectively. Others recognise the need for schools in low-income communities to perform a dual role and engage in both forms of nurturing simultaneously—which we term as critical nurturing. This paper presents findings based on case studies from three designated disadvantaged primary schools in Ireland during pandemic-related closures. It draws on interviews from the Children’s School Lives longitudinal study with the teachers, principals, and families of four Junior Infant children (typically aged four to five years). Our findings suggest a typology of nurturing pedagogies, with academic and affective nurturing emphasised to varying degrees across our three schools during this period. Narratives from interviewees also demonstrate the central role of school culture and leadership in achieving critical nurturing, with significant social justice implications for the education of children in schools serving low-income communities.
Decarbonization of waste management practices and GHG accounting for energy transition: evidence from European electricity corporations’ reporting
Authors: Di Vaio Assunta , Van Engelenhoven Elisa , Chhabra Meghna , Garofalo Antonio
Published: February 2024

This study advances the understanding about the waste management practices adopted by the electricity sector for meeting the energy transition. Specifically, through the institutional, stakeholder, and legitimacy theory lens, it investigates the decarbonization practices in 11 major electricity producers in Europe trying to understand their sincere concern for enhanced performance and transparency. This study analyzes the content of non-financial disclosures shown by 90 reports, that is 64 sustainability reporting and 26 integrated reporting published between 2015 and 2022. Hence, this study seeks to clarify the linkages between waste management for emissions reduction, GHG accounting and sustainability reports through which the corporations seek legitimacy from stakeholders. The results highlight the commitment of electricity corporations for energy transition using green technologies and renewable energy sources to decarbonize the waste practices. However, they underline the absence of quantitative evidence in the SR for the evaluation of initiatives impact and the reduction of GHG emissions. To the best of our knowledge, this is the first study that conceptualizes the linkages between waste decarbonization for energy transition and the accounting systems i.e. GHG accounting and reporting in the electricity sector towards a cleaner production.
Reconstruction of f(R) Gravity from Cosmological Unified Dark Fluid Model
Authors: Elkhateeb Esraa Ali
Published: February 2024

In this work, we reconstruct the cosmological unified dark fluid model proposed previously by Elkhateeb (Astrophys Space Sci 363(1):7, 2018) in the framework of f(R) gravity. Utilizing the equivalence between the scalar-tensor theory and the f(R) gravity theory, the scalar field for the dark fluid is obtained, whence the f(R) function is extracted and its viability is discussed. The f(R) functions and the scalar field potentials have then been extracted in the early and late times of asymptotically de Sitter spacetime. The ability of our function to describe early time inflation is also tested. The early time scalar field potential is used to derive the slow roll inflation parameters. Our results of the tensor-to-scalar ratio r and the scalar spectral index $$n_s$$

n
s

are in good agreement with results from Planck-2018 TT+TE+EE+lowE data for the model parameter $$n > 2$$

n
>
2

.
Synthesis, Properties, and Degradation of Poly(butylene succinate-co-sebacicate-co-salicylicate) Copolyesters
Authors: Chen Yezhong , Pan Kaibo , Mai Kaijin , Jiao jian , Zeng xiangbin , Fu Qiang , Li Jianjun
Published: February 2024

Since monomers in backbone of poly(butylene succinate-co-adipate) (PBSA) are not entirely derived from bio-based sources, limiting its application in the face of increasingly stringent environmental policies. In this study, a novel full bio-based biodegradable random copolyester poly(butylene succinate-co-sebacicate-co-salicylicate) was successfully synthesized. Detailed investigations were conducted on the structural, mechanical, and degradation characteristics resulting from the introduction of salicylicate and sebacicate units. Introduction of salicylicate units effectively enhanced the mechanical performance. In comparison to PBSA, the tensile modulus of copolymer increased by 20.2% with 10% salicylic acid. Introduction of sebacicate units significantly altered the crystalline structure of copolymer and promote the degradation efficiency. Considering both mechanical strength and degradation efficiency, the copolyester with 2% salicylic acid and 20% sebacic acid was found to meet practical application requirements. Relative to PBSA, this copolymer demonstrated a 13.7% increase in tensile modulus and a remarkable 143.1% improvement in degradation efficiency. Importantly, this study focused on the effect of the bio-based rigid monomer salicylic acid and the soft monomer sebacic acid on the degradability of biodegradable polymers. The insights gained provide valuable guidance for tailoring the synthesis of degradable plastics to meet diverse degradation cycle requirements.
Mechanochemical preparation of nanocrystalline stannite/chatkalite composite: kinetics of synthesis and thermoelectric properties
Authors: Baláž Peter , Rajňák Michal , Kubíčková Lenka , Hudáková Mária Bali , Daneu Nina , Levinský Petr , Knížek Karel , Hejtmánek Jiří , Navrátil Jiří , Kmječ Tomáš , Džunda Robert , Achimovičová Marcela , Šestinová Oľga , Baláž Matej
Published: February 2024

In this study we demonstrate the use of Cu, Fe, Sn and S elemental precursors to synthesize chatkalite/stannite nanocomposite by high-energy milling in both lab-scale and industrial-scale mills. The products were characterized by XRD, SEM, HRTEM, EDX, Mössbauer spectroscopy and magnetometry. For the determination of optimum milling conditions, the magnetization data of the synthesized samples were used as output values using a Taguchi experimental design. The formation of the product proceeds via a multistep process comprising binary sulphides (SnS and CuS) formation at the beginning and chatkalite Cu6FeSn2S8/stannite Cu2FeSnS4 composite as the end products. The TEM images show tightly packed nanosized crystallites with the sizes in the range of tens of nanometers. Mössbauer study unveiled that iron is present in 3+ state instead of 2+ expected for stoichiometric phases. This discrepancy was explained by the presence of a small number of vacancies on Sn sites. Based on the thermoelectric measurements of the hot-pressed pellets, the calculated figure of merit reached a value of ZT = 0.27 at 600 K. The aim of this study is to prepare a representative of a promising class of environmentally acceptable thermoelectric materials in an environmentally sound solvent-free manner and characterize them while studying the kinetics of the reaction via magnetometry and the possibility to scale-up the solid-state synthesis process.
How important is passive sampling to explain species-area relationships? A global synthesis
Authors: da Silva Marco Aurélio Ferreira , Mendes Clarice Braúna , Prevedello Jayme Augusto
Published: February 2024

Context

The species-area relationship (SAR) is one of the main patterns in Ecology, but its underlying causes are still under debate. The random placement hypothesis (RPH) is the simplest one to explain the SAR: larger areas passively sample more individuals and, consequently, more species. However, it is still unclear the degree to which this null hypothesis is supported for different taxa and locations globally.

Objectives

We performed the first global synthesis on the RPH to investigate which variables mediate variation in the degree of support of this hypothesis across taxa and regions.

Methods

We conducted a review of the global literature and estimated the degree of support of the RPH. The degree of support (effect size) was inferred through the coefficient of determination of the relationship between observed (empirical) and predicted (according to the RPH) species richness. We analyzed the relationship between this effect size metric and different geographic and ecological factors.

Results

About 31% of the studies explicitly considered the RPH. From these, only 14% tested the RPH in a total of 52 independent case studies. About 42% of these case studies confirmed the RPH. The degree of support was significantly higher for plants than animals, and increased consistently with latitude for animals.

Conclusions

Passive sampling is important to determine SARs, especially for animals at higher latitudes and plants. Further tests of the RPH, which is still scarcely explored in the literature, are vital to understanding the stochastic and ecological processes underlying the SAR and to advancing Landscape Ecology.
High-resolution species distribution modelling reveals spatio-temporal variability of habitat suitability in a declining grassland bird
Authors: Crispim-Mendes Tiago , Valerio Francesco , Marques Ana Teresa , Pita Ricardo , Godinho Sérgio , Silva João Paulo
Published: February 2024

Context

Species distribution models (SDMs) may provide accurate predictions of species occurrence across space and time, being critical for effective conservation planning.

Objectives

Focusing on the little bustard (Tetrax tetrax), an endangered grassland bird, we aimed to: (i) characterise the drivers of the species distribution along its key phenological phases (winter, breeding, and post-breeding); and (ii) quantify spatio-temporal variation in habitat suitability across phenological phases and over the years 2005–2021.

Methods

Combining remotely sensed metrics at high temporal resolution (MODIS) with long-term (> 12 years) GPS telemetry data collected for 91 individuals at one of the species’ main strongholds within the Iberian Peninsula, we built SDMs (250 m resolution) for the species key phenological phases.

Results

The use of both dynamic and static predictors unveiled previously unknown ecological responses by little bustards, revealing a marked change in the spatial distribution of suitable habitat among phenological phases. Long-term habitat suitability trends showed considerable fluctuations, mainly in the breeding and post-breeding phases. Overall, SDM projections into the past revealed that while the species’ winter and post-breeding habitats apparently increased since 2005, suitable habitat during the species’ most critical phenological phase, breeding, apparently reduced in area over time.

Conclusions

Our findings show that matching remotely sensed data with GPS tracking data results in accurate habitat suitability predictions throughout the yearly cycle. Additionally, our findings stress the importance of quantifying habitat loss and its potential impact on little bustard decline over nearly 20 years. Spatio-temporal variations in habitat suitability are also identified in this work, which can help prioritize conservation areas, particularly the breeding areas that have remained stable over time, as this is a key requirement for little bustard lek breeding system.
Spatio-temporal changes and hydrological forces of wetland landscape pattern in the Yellow River Delta during 1986–2022
Authors: Qiu Mengqi , Liu Yanxu , Chen Peng , He Naijie , Wang Shuai , Huang Xinzi , Fu Bojie
Published: February 2024

Context

Estuarine wetlands provide valuable ecosystem services, but 20–78% of coastal wetlands are facing the risk of loss by the end of the century. The Yellow River Delta (YRD) wetland, one of the most productive delta areas in the world, has undergone dramatic changes under the influence of a precipitous drop of sediment delivery and runoff, coupled with the invasion of Spartina alterniflora. Monitoring the spatio-temporal patterns, thresholds, and drivers of change in wetland landscapes is critical for sustainable management of delta wetlands.

Objectives

Generate annual mapping of salt marsh vegetation in the YRD wetland from 1986 to 2022, analyze the trends of wetland patch area and landscape pattern, and explain the hydrological drivers of landscape pattern evolution.

Methods

We combined Landsat 5‒8 and Sentinel-2 images, vegetation phenology, remote sensing indices, and Random Forest supervised classification to map the typical salt marsh vegetation of the YRD. We applied piecewise linear regression to analyze YRD wetland changes and stepwise multiple linear regression to assess the impact of hydrological factors on landscape pattern.

Results

We identified three stages of landscape pattern evolution with 1997 and 2009 as critical junctures, including the rapid expansion stage, gradual decline stage, and bio-invasion stage. In the rapid expansion stage, the wetland area expanded by 70%, while the typical salt marsh vegetation (Phragmites australis) area was reduced by 25%. In the gradual decline stage, the wetland was reduced by 21% and the Phragmites australis area was reduced by 16%. In the bio-invasion stage, coverage of Spartina alterniflora expanded rapidly, with a 68-fold increase in area relative to 2009, expanding at an average rate of 344 hm2 per year.

Conclusions

Areas of total wetland, tidal flat, and Phragmites australis were significantly influenced by cumulative sediment delivery and cumulative runoff, which together explained 61.5%, 75.7% and 63.8% of their variation, respectively. Wetland and tidal flat areas increased with cumulative sediment delivery, while cumulative runoff had a weak negative effect. For Phragmites australis, cumulative runoff had a positive effect, whereas cumulative sediment delivery had a negative effect. Water resources regulation measures should be taken to prevent the degradation of wetland ecosystems, and intervention measures can be implemented during the seedling stage to control the invasion of Spartina alterniflora.
Lagrangian multiforms on coadjoint orbits for finite-dimensional integrable systems
Authors: Caudrelier Vincent , Dell’Atti Marta , Singh Anup Anand
Published: February 2024

Lagrangian 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

Morita 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

In 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

Water 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

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

Online 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

Transportation 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

Abstracts

The 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

This 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

Bioinformatics 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

We 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

Larvae 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

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

Indoor 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

Venture 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

Various 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.
Experimental and Theoretical Studies on Ag Nanoparticles with Enhanced Plasmonic Response, Formed Within Al2O3 Thin Films Deposited by Magnetron Sputtering
Authors: Sekrafi Houssem Eddine , Costa Daniela S. , Proença Manuela , Meira Diana I. , Vaz Filipe , Borges Joel
Published: February 2024

Reactive magnetron sputtering was employed to prepare nanocomposite thin films of Ag/Al2O3, on a glass substrate. The films are characterized by the formation of Ag nanoparticles embedded in the Al2O3 matrix, after thermal treatment at 600 °C, which are responsible for the appearance of an outstanding pronounced and narrow localized surface plasmon resonance (LSPR) band. Electron microscopy analysis also revealed the presence of larger Ag fractal aggregates at the film’s surface, responsible for a broad band absorption. Noteworthily, the LSPR band maximum remains at the same position (about 412 nm) for Ag concentrations ranging from 23 to 34 at.%, despite some discernible alterations in both LSPR band intensity and width. An optimized thin film is characterized by full transparency in non-resonant wavelengths due to suppression of Ag aggregates at the film’s surface, while maintaining the LSPR behavior. To better explain the plasmonic behavior of the Ag/Al2O3 films, discrete dipole approximation was used to determine the extinction, scattering, and absorption efficiencies of Ag spheres surrounded by an Al2O3 cap layer. This allowed to ascertain some nanostructural features of the films, pointing to the formation of Ag nanoparticles with average sizes in the order of 40 nm.