bluuebunny/crossref_metadata_2025_split huggingface dataset:
Understanding online advice-giving evaluations through the politeness evaluation model
Authors: Lu Rickey 
Published: January 2025

Abstract
One of the most popular online sites where advice interactions routinely occur is Reddit. As a predominately public platform, Reddit users presumably extend beyond only registered contributors. Thus, it is important to examine Reddit advice outside of the interactional or discursive level (e.g., exploring perceptions from other audience types). To bridge this gap, an experiment was designed based on a previous study on Reddit advice-giving, which investigated how audiences might perceive and evaluate the quality of advice-giving formulations. This experiment contained both qualitative and quantitative measures. Both components of the experiment yielded significant and interesting findings, with each meriting an in-depth discussion on their own. This paper reports on the qualitative aspects of the experiment, where results show that evaluations of advice invoke various aspects of Spencer-Oatey and Kádár’s (2021. Intercultural politeness: Managing relations across cultures. Cambridge: Cambridge University Press) politeness evaluation model, highlighting the particular pragmatic issues that are important for the advice interaction. These results also show that the manipulation of rhetorical moves used during Reddit advice-giving have an effect on the saliency of different face sensitivities, with implications for how linguistic forms as realized in rhetorical moves might be connected to higher level pragmatic concepts (e.g., face), and cognitive perceptions of warmth and competence.
Effect of Dietary Protein on Fat-Free Mass in Energy Restricted, Resistance-Trained Individuals: An Updated Systematic Review With Meta-Regression
Authors: Refalo Martin C. , Trexler Eric T. , Helms Eric R. 
Published: January 2025

ABSTRACT
Individuals often restrict energy intake to lose fat mass (and body mass [BM]) while performing resistance training (RT) to retain fat-free mass (FFM). Therefore, the aim of the present systematic review with meta-regression was to explore (a) the pattern and strength of the dose-response relationship between daily dietary protein intake and FFM change, and (b) whether intervention duration, energy deficit magnitude, baseline body fat percentage (BF%), and participant sex influence this relationship. Studies were included if they involved a standardized RT protocol with nonobese, energy-restricted (experiencing fat mass loss) individuals with a minimum of 3 months RT experience. Of 916 retrieved studies, data were extracted from a total of 29 studies. Bayesian methods were used to fit linear and nonlinear meta-regression models and estimate effect sizes, highest density credible intervals, and probabilities. Results suggest a >97% probability of a linear dose-response relationship between daily protein intake [g/kgBM: β = 0.07 (95% highest density interval [HDI]: −0.01 to 0.14), and g/kg/FFM: β = 0.06 (95% HDI: 0.01 to 0.12)] and favorable FFM changes. The relationship is stronger when protein intake is expressed relative to FFM, in interventions longer than 4 weeks, in men, and when BF% is lower. Overall, the heterogeneity between studies renders our findings exploratory.
Does amplitude compression help or hinder attentional neural speech tracking?
Authors: Orf Martin , Hannemann Ronny , Obleser Jonas 
Published: January 2025

Amplitude compression is an indispensable feature of contemporary audio production and especially relevant in modern hearing aids. The cortical fate of amplitude-compressed speech signals is not well-studied, however, and may yield undesired side effects: We hypothesize that compressing the amplitude envelope of continuous speech reduces neural tracking. Yet, leveraging such a ‘compression side effect’ on unwanted, distracting sounds could potentially support attentive listening if effectively reducing their neural tracking. In this study, we examined 24 young normal-hearing (NH) individuals, 19 older hearing-impaired (HI) individuals, and 12 older normal-hearing individuals. Participants were instructed to focus on one of two competing talkers while ignoring the other. Envelope compression (1:8 ratio, loudness-matched) was applied to one or both streams containing short speech repeats. Electroencephalography (EEG) allowed us to quantify the cortical response function and degree of speech tracking. With compression applied to the attended target stream, HI participants showed reduced behavioural accuracy, and compressed speech yielded generally lowered metrics of neural tracking. Importantly, we found that compressing the ignored stream resulted in a stronger neural representation of the uncompressed target speech. Our results imply that intelligent compression algorithms, with variable compression ratios applied to separated sources, could help individuals with hearing loss suppress distraction in complex multi-talker environments.Significant statementAmplitude compression, integral in contemporary audio production and hearing aids, poses an underexplored cortical challenge. Compressing the amplitude envelope of continuous speech is hypothesized to diminish neural tracking. Yet, capitalizing on this 'compression side effect' for distracting sounds might enhance attentive listening. Studying normal-hearing (NH), older hearing-impaired (HI), and older normal hearing individuals in dual-talker scenarios, we applied envelope compression to speech streams. Both NH and HI participants showed diminished neural tracking with compression on the speech streams. Despite weaker tracking of a compressed distractor, HI individuals exhibited stronger neural representation of the concurrent target. This suggests that adaptive compression algorithms, employing variable ratios for distinct sources, could aid individuals with hearing loss in suppressing distractions in complex multi-talker environments.
Longitudinal sex-at-birth and age analyses of cortical structure in the ABCD Study®
Authors: Marshall Andrew T. , Adise Shana , Kan Eric C. , Sowell Elizabeth R. 
Published: January 2025

While the brain continues to develop during adolescence, such development may depend on sex-at-birth. However, the elucidation of such differences may be hindered by analytical decisions (e.g., covariate selection to address brain-size differences) and the typical reporting of cross-sectional data. To further evaluate adolescent cortical development, we analyzed data from the Adolescent Brain Cognitive Development StudySM, whose cohort of 11,000+ youth participants with biannual neuroimaging data collection can facilitate understanding neuroanatomical change during a critical developmental window. Doubly considering individual differences in the context of group-level effects, we analyzed regional changes in cortical thickness, sulcal depth, surface area, and volume between two timepoints (∼2 years apart) in 9- to 12-year-olds assigned male or female sex-at-birth. First, we conducted linear mixed-effects models to gauge how controlling for intracranial volume, whole-brain volume (WBV), or a summary metric (e.g., mean cortical thickness) influenced interpretations of age-dependent cortical change. Next, we evaluated the relative changes in thickness and surface area as a function of sex-at-birth and age. Here, we showed that WBV (thickness, sulcal depth, volume) and total cortical surface area were more optimal covariates; controlling for different covariates would have substantially altered our interpretations of overall and sex-at-birth-specific neuroanatomical development. Further, we provided evidence to suggest that aggregate change in how cortical thickness is changing relative to surface area is generally comparable across those assigned male or female sex-at-birth, with corresponding change happening at slightly older ages in those assigned male sex-at-birth. Overall, these results help elucidate neuroanatomical developmental trajectories in early adolescence.Significance StatementWhile most of our brain’s development happens early in life, much of it still happens in adolescence. Because many factors can alter those developmental trajectories, it is important to evaluate the shape/timing of those trajectories (i.e., what generally constitutes typical brain development). Here, we showed that our understanding of those trajectories can be affected by how we choose to analyze them. First, we showed that the way researchers address differences in brain size affects how we interpret regional variation in brain change over time. Further, we showed that it is important to consider how similar patterns of development may simply be happening at different ages in different groups. These results support a relatively novel way of analyzing adolescent brain development.
Regulación de algoritmos y sistemas de IA para la toma de decisiones judiciales, la toma de decisiones con sistemas de IA en la justicia colombiana
Authors: Sánchez Acevedo Marco Emilio 
Published: January 2025

El presente artículo de investigación es resultado del trabajo adelantado por el autor dentro del proyecto de investigación Análisis de datos para la toma de decisiones espaciales e inteligencia artificial para la administración, vinculado al grupo de investigación Derecho Público y Tecnologías, categoría Colciencias A1 de la Universidad Católica de Colombia. De igual forma, resultado de la colaboración con el grupo de investigación Régimen jurídico constitucional de las libertades, el gobierno abierto y el uso de las nuevas tecnologías (UVEG-GIUV2016-270), así como del proyecto nacional MICINN, Derechos y garantías frente a las decisiones automatizadas en entornos de inteligencia artificial, IoT, big data y robótica (PID2019-108710RB-I00, 2020-2022) de la Universidad de Valencia, España.
El lector encontrará un análisis que parte de la siguiente hipótesis: Las autoridades judiciales al utilizar sistemas de inteligencia artificial deben garantizar que estos sistemas cumplen la política de uso de tecnologías y en particular, los estándares que permitan la materialización del debido proceso. Por ello, el objetivo general de este artículo es determinar la existencia de límites jurídicos a los que están sometidas las autoridades judiciales cuando usan sistemas de inteligencia artificial para el cumplimiento de la función judicial. Para lograr este objetivo se aborda: 1) los derechos y principios en los entornos digitales, son referencia de buena administración algorítmica; 2) las normas que deben cumplir las autoridades judiciales, de manera general, cuando se usan tecnologías de la información y las comunicaciones; 3) las obligaciones derivadas del cumplimiento de las normas referidas al uso de sistemas de inteligencia artificial y 4) la necesidad de regulación de algoritmos para la toma de decisiones judiciales. Por último, se dan las conclusiones.
Kurčiųjų ar neprigirdinčiųjų tėvų ir girdinčiųjų vaikų šeima: dviejų atvejų tyrimas
Authors: Mikelevičiūtė Laura , Jakaitė-Bulbukienė Kristina 
Published: January 2025

The present study analyses the language policy of two families of deaf or hard-of-hearing parents and hearing children. The desire to explore this topic was motivated by the fact that the linguistic situation of families consisting of deaf parents and hearing children is either not explored or the material is inaccessible to those who do not know Lithuanian sign language. A qualitative method of analysis was chosen to collect the material: in-depth semi-structured interviews with both parents individually and observation of joint activities of the whole family. The aspects of the interview analysis were: pre-planning of language policy strategies before the birth of the child and changes as the child grows up, behavior during arguing or in more complicated linguistic situations, i.e. looking at what are the usual compensatory strategies of communication. The analysis of the data shows that families have not developed specific linguistic strategies before having children, but some decisions has been made after the birth of the children, based on the experience of other families in the same situation. However, unlike previous generations, deaf parents have not tried to talk to their hearing children because it is already known that this is not effective. The analysis of the data also shows that both families have not made any special efforts to teach their children either Lithuanian Language or Lithuanian Sign Language. The biggest problem in families is the manipulation of children by their parents’ hearing impairment, and it is also evident that the families in the study deal with this problem differently. When communication difficulties arise, the most common strategies used are cooperative: lip reading, voice pronunciation tactics, use of the alphabet, seeking help from hearing relatives, and the use of paraphrasing strategies. However, the non-cooperative strategies also were mentioned: ignoring, avoiding. This study could be of interest and benefit to researchers working in the field of applied linguistics, families of deaf and hearing people, social workers working with deaf and hearing families and teachers.
Bifurcation of Archetypes in Mykhailo Kotsiubynskyi’s Novel “Shadows of Forgotten Ancestors”
Authors: Dzera Oksana , Molchko Oksana 
Published: January 2025

This article reinterprets Mykhailo Kotsiubynskyi’s “Shadows of Forgotten Ancestors” by moving beyond the traditional view of the novel as a Hutsul “Romeo and Juliet” tale centered on a family feud. Applying Carl Jung’s theory of archetypes, the study explores how the narrative unfolds deeper psychological themes, including the Shadow, the Anima, the Wise Old Man, and the Changeling. The analysis reveals that the true essence of the novel lies in the protagonist’s struggle with his darker nature, his unfulfilled redemption, and the symbolic duality of the feminine, offering a universal exploration of identity, duality, and the human psyche. The authors integrate the overlapping of paganism and Christianity in the novel with the theory of archetypes, emphasizing how these elements shape the protagonist’s character and fate.
Seismic Energy Radiated by Earthquakes in the North-Central Region of the Gulf of California, Mexico
Authors: Cruz Hernández Favio , Castro Raúl R. 
Published: January 2025

ABSTRACT
We investigate the radiated seismic energy of P and S waves in the north-central region (27.5–31.5° N) of the Gulf of California (GoC), Mexico, from 83 earthquakes recorded at stations of the Broadband Seismological Network (RESBAN) of the GoC, Mexico, and the Mexican National Seismological Service for the period 2015–2021. The earthquakes occurred within the limits of transform and normal faults at depths between 10 and 20 km and had moderate magnitudes (3.4&lt;Mw&lt;5.7). We calculated Fourier acceleration spectra from P and S waves, corrected the spectral records for source–receiver path effects, and separated site and source functions using a spectral inversion technique. We corrected the source functions for attenuation effects near the source, and then we calculated the radiated energy by integrating the square of the source velocity spectrum (P and S wave) for each earthquake. We found that on average, 91% of the radiated energy corresponds to S waves. The average total energy (7.1172×109  N·m) of the analyzed events is less than two orders of magnitude of that from earthquakes in Mexican subduction zones. Unlike other results, the apparent stress shows an ostensible inverse correlation with the seismic moment. The apparent stress from the northern to the central regions of the GoC varies between 0.0005 and 0.4 MPa. We observed that earthquakes with lower and higher apparent stress tend to concentrate in regions with normal and strike-slip faulting stress regimes, respectively. To explain the spatial variation of apparent stress, we estimated the coefficient of friction and compare our results with focal mechanisms, stress regime, and other geophysical and seismological studies. The variations of apparent stress could be influenced by lateral heterogeneities of the physical properties of the crustal rocks, the friction on faults, the heat flow, and the presence of fluids.
A Deep Learning–Based Model for Real-Time Production Forecasting of Gas Wells with Intermittent Production
Authors: Zhou Wenxin , Sun Wenyue , Ding Weihong , Sankaran Sathish 
Published: January 2025

Summary
Accurate real-time production forecasting for gas wells experiencing intermittent production due to liquid loading is critical for optimizing operating schedules. Traditional methods, which rely on solving wellbore multiphase flow equations, are computationally intensive, making them impractical for real-time production forecasting across hundreds or thousands of wells, especially in the absence of reliable downhole measurements. This study presents an efficient real-time prediction model for production parameters of intermittent gas wells using deep learning techniques. The model generates production forecasts based on high-frequency measurements, including casing and tubing pressures, valve status, and instantaneous gas rates. To enhance the model’s performance, a novel cycle parameter extraction procedure is introduced during the feature engineering phase. This procedure extracts key performance indicators, specifically production parameters at critical moments, based on the shut-in and open cycles. Using these key cycle parameters as features significantly reduces the data volume used for model training and enhances prediction accuracy. The cycle parameter data set is derived from high-frequency measurements collected from 216 low-productivity gas wells. The developed deep learning model uses a Seq2Seq architecture. The encoding long short-term memory (LSTM) processes recent production data and passes the encoded information to the decoding LSTM, which then uses future operating schedules as inputs to predict the corresponding key cycle parameters. Testing results demonstrate the model’s high accuracy and efficiency, with each prediction taking less than 0.002 seconds. The prediction accuracy is quantified using the coefficient of determination (R²), the mean absolute error (MAE), and the mean absolute percentage error (MAPE). The R² values for the predicted features range from 91% to 99%, with a maximum MAE of 0.15 MPa for pressure parameters and 0.10×104 m³/d for the average gas rate (AGR). Moreover, the model maintains high accuracy even in challenging scenarios, such as wells with extended shut-in durations and insufficient measurements. The model’s predictive performance under various operating schedules is further evaluated using virtual cycles, demonstrating its strong generalization capability in generating production forecasts for unseen operating schedules in a given well. This generalization capability underscores the advantage of training the model with data collected from numerous wells operating under diverse schedules.
Aflatoxin awareness and food security among smallholder farmers in Tanzania
Authors: Waryoba Fulgence Dominick 
Published: January 2025

Abstract

Aflatoxin highly affects food security and income among smallholder farmers. Consumption of aflatoxin contaminated grains or meat, milk and eggs from animals fed with contaminated food causes serious health problems to humans. The aim of this study was to uncover the effects of aflatoxin awareness on food security among smallholder farmers in Tanzania. Awareness theory reviewed rendered the study to use fuzzy cognitive map, with a mixture of observed and unobserved variables. A mixture of latent and observed variables made structural equation modeling an appropriate model for the analysis. Methodological triangulation approach with both quantitative and qualitative analysis was applied, since the study inquired opinions from farmers. Stratified sampling technique was used to get two agro ecological regions of Shinyanga and Morogoro, due to their climatic differences. Each region was represented by one district represented by one division. From the division, two wards were selected and from each ward, two villages were selected. In each village, two hamlets were selected, making a total of 8 villages and 16 Hamlets. The sample size of 384 farmers, calculated using Cochran for unknown population, was unequally distributed in each hamlet. The survey revealed that for many farmers, it was the first time to hear about aflatoxin. After a visual illustration, farmers realized that aflatoxin was not uncommon to them. Unlike economic effects, very few farmers knew the health effects of aflatoxin. Some farmers used contaminated stock for consumption, animal feed or making alcohol. Nevertheless, a large number of these farmers did not know what caused aflatoxin during plant growth. They were highly knowledgeable on the causes of aflatoxin during storage. The findings show that aflatoxin awareness has a positive and significant influence on crop quality and hence, food security. As was the opinion from many farmers, the Ministry of Agriculture, in collaboration with other development stakeholders, should give high priority to aflatoxin awareness campaigns.
Patient Voices: Multimethod Study on the Feasibility of Implementing Electronic Patient-Reported Outcome Measures in a Comprehensive Cancer Center
Authors: Brunelli Cinzia , Alfieri Sara , Zito Emanuela , Spelta Marco , Arba Laura , Lombi Linda , Caselli Luana , Caraceni Augusto , Borreani Claudia , Roli Anna , Miceli Rosalba , Tine' Gabriele , Zecca Ernesto , Platania Marco , Procopio Giuseppe , Nicolai Nicola , Battaglia Luigi , Lozza Laura , Shkodra Morena , Massa Giacomo , Loiacono Daniele , Apolone Giovanni 
Published: January 2025

Background
“Patient Voices” is a software developed to promote the systematic collection of electronic patient-reported outcome measures (ePROMs) in routine oncology clinical practice.

Objective
This study aimed to assess compliance with and feasibility of the Patient Voices ePROM system and analyze patient-related barriers in an Italian comprehensive cancer center.

Methods
Consecutive patients with cancer attending 3 outpatient clinics and 3 inpatient wards were screened for eligibility (adults, native speakers, and being able to fill in the ePROMs) and enrolled in a quantitative and qualitative multimethod study. Compliance, reasons for not administering the ePROMs, patients’ interaction needs, and patient-perceived System Usability Scale (range 0-100) were collected; semistructured interviews were carried out in a subsample of patients.

Results
From June 2020 to September 2021, a total of 435 patients were screened, 421 (96.7%) were eligible, and 309 completed the ePROMs (309/421, 73.4%; 95% CI 69.8%-77.5%; mean age 63.3, SD 13.7 years). Organization problems and patient refusal were the main reasons for not administering the ePROMs (outpatients: 40/234, 17.1% and inpatients: 44/201, 21.9%). Help for tablet use was needed by 27.8% (47/169) of outpatients and 10.7% (15/140) of inpatients, while the support received for item interpretation was similar in the 2 groups (outpatients: 36/169, 21.3% and inpatients: 26/140, 18.6%). Average System Usability Scale scores indicated high usability in both groups (outpatients: mean 86.8, SD 15.8 and inpatients: mean 83.9, SD 18.8). Overall, repeated measurement compliance was 76.9% (173/225; outpatients only). Interviewed patients showed positive attitudes toward ePROMs. However, there are barriers to implementation related to the time and cognitive effort required to complete the questionnaires. There is also skepticism about the usefulness of ePROMs in interactions with health care professionals.

Conclusions
This study provides useful information for future ePROM implementation strategies, aimed at effectively supporting the routine clinical management and care of patients with cancer. In addition, these findings may be relevant to other organizations willing to systematically collect PROMs or ePROMs in their clinical routines.

Trial Registration
ClinicalTrials.gov NCT03968718; https://clinicaltrials.gov/study/NCT03968718