bluuebunny/crossref_metadata_2025_split huggingface dataset:
Habitat potential modelling and the effect of climate change on the current and future distribution of three Thymus species in Iran using MaxEnt
Authors: Hosseini Naser , Ghorbanpour Mansour , Mostafavi Hossein 
Published: February 2024

AbstractOver the course of a few decades, climate change has caused a rapid and alarming reshaping of species habitats, resulting in mass extinction, particularly among sensitive species. In order to investigate the effects of climate change on species distribution and assess habitat suitability, researchers have developed species distribution models (SDMs) that estimate present and future species distribution. In West Asia, thyme species such as T. fedtschenkoi, T. pubescens, and T. transcaucasicus are rich in thymol and carvacrol, and are commonly used as herbal tea, spice, flavoring agents, and medicinal plants. This study aims to model the distribution of these Thymus species in Iran using the MaxEnt model under two representative concentration pathways (RCP 4.5 and RCP 8.5) for the years 2050 and 2070. The objective is to identify the crucial bioclimatic (n = 5), edaphic (n = 1), and topographic (n = 3) variables that influence their distribution and predict how their distribution might change under various climate scenarios. The findings reveal that the most significant variable affecting T. fedtschenkoi and T. pubescens is altitude, while soil organic carbon content is the primary factor influencing the distribution of T. transcaucasicus. The MaxEnt modeling demonstrates excellent performance, as indicated by all the area under the curve (AUC) values exceeding 0.9. Based on the projections, it is expected that these three thyme species will experience negative area changes in the coming years. These results can serve as a valuable tool for developing adaptive management strategies aimed at enhancing protection and sustainable utilization in the context of global climate change. Special attention should be given to conserving T. fedtschenkoi, T. pubescens, and T. transcaucasicus due to their significant habitat loss in the future.
A macroscopic clock model to solve the paradox of Schrödinger’s cat
Authors: Sokolovski D. , Uranga A. , Akhmatskaya E. 
Published: February 2024

AbstractWe propose detecting the moment an atom emits a photon by means of a nearly classical macroscopic clock and discuss its viability. It is shown that what happens in such a measurement depends on the relation between the clock’s accuracy and the width of the energy range available to the photon. Implications of the analysis for the long standing Schrödinger’s cat problem are reported.
Association between lipid profile in early pregnancy and the risk of congenital heart disease in offspring: a prospective cohort study
Authors: Zhao Minli , Zhang Danwei , Wang Xinrui , Li Haibo , Sun Bin , Wu Zhengqin , Zhu Yibing , Cao Hua 
Published: February 2024

AbstractThis study aimed to investigate the association of lipid profile in early pregnancy and the risk of congenital heart disease (CHD) in offspring. This study was a prospective cohort design based on the Fujian Birth Cohort Study in China. We recruited pregnant women at ≤ 14 weeks of gestation between 2019 and 2022, and all participants in this study filled out the questionnaire about periconceptional exposure. Simultaneously, we collected participants’ fasting blood samples to measure their lipid profile by automatic biochemical analyzer. The outcome was defined as offspring with CHD. A multivariable logistic regression model was used to calculate adjusted odds ratio (AOR) risk estimates, which indicate the associations between maternal lipid profiles and CHD in offspring. Restricted cubic splines were used to estimate their nonlinear relationship. A total of 21,425 pregnant women with an average gestational age of 11.3 (± 1.40) weeks were included in the analysis. The higher triglyceride (AOR 1.201, 95% CI [1.036, 1.394]), low-density lipoprotein (AOR 1.216, 95% CI [1.048, 1.410]), apolipoprotein B (Apo B) (AOR 2.107, 95% CI [1.179, 3.763]) levels were correlated with increased odds of CHD in offspring, while high-density lipoprotein (OR 0.672, 95% CI [0.490, 0.920]) related with decreased odds of CHD in offspring. The restricted cubic spline suggested a nonlinear relationship between total cholesterol (TC) levels and the risk of CHD in offspring (P = 0.0048), but no significant nonlinear relationships were found in other lipid profile. Apolipoprotein A was not related to the risk of CHD in offspring as either a continuous variable or a hierarchical variable. Elevated lipid profile in early pregnancy levels are associated with an increased risk of CHD in offspring. Additionally, there is a non-linear relationship between TC levels and the risk of CHD in offspring.
Therapeutic effect of intense pulsed light on different types of chalazion in children
Authors: Jiang Jiao , Yang Xiaoge , Du Feifan , Zheng Wei , Yang Yang 
Published: February 2024

AbstractThis study aims to investigate the effectiveness of Intense Pulsed Light (IPL) therapy for chalazion treatment while also exploring potential variations in sensitivity among different types of chalazion. A total of 149 patients were selected to receive tobramycin combined with IPL treatment and tobramycin combined with hot compress. The treatment groups were divided into cystic type and granulomatous type according to different clinical manifestations. The course of treatment was 3 weeks. The improvement was based on the ultrasound measurement of the masses reduction of more than 50% or disappearance. In the IPL group, 17 (22.67%) cases were cured, 39 (52.00%) were effective, and 19 (25.33%) were ineffective. This includes: cystic type was cured in 3 (15.79%), effective in 5 (26.32%) cases, ineffective in 11 (57.89%) cases; granulomatous type was cured in 14 (25.00%) cases, effective in 34 (60.71%) cases, ineffective in 8 (14.29%) cases. In the hot compress group, 5 (6.76%) cases were cured, 16 (21.62%) cases were effective and 53 (71.62%) cases were ineffective. The cystic type was cured in 2 (8.00%) cases, effective in 3 (12.00%) cases and ineffective in 20 (80.00%) cases; the granulomatous type was cured in 3 (6.12%) cases, effective in 13 (26.53%) cases and ineffective in 33 (67.35%) cases. The cure rate and efficacy rate of IPL treatment is higher than that of hot compress treatment, the treatment effect of IPL treatment on granulomatous chalazion is better than that on cystic type.
Microstructure and tribological behaviour of CoCrCuFeTi high entropy alloy reinforced SS304 through friction stir processing
Authors: Radhika N. , Krishna S. Aravind , Basak Animesh Kumar , Adediran Adeolu Adesoji 
Published: February 2024

AbstractSurface modification by suitable technique aids in improving the characteristics of material to resist severe wear in demanding environments and challenging applications. The present study aims to analyse the tribological performance of Stainless Steel (SS304) reinforced with CoCrCuFeTi High Entropy Alloy (HEA) through friction stir processing and compares the results with annealed specimens. The CoCrCuFeTi HEA was ball milled and revealed irregular fragment particles with Body Centred Cubic (BCC) phase. The processed samples exhibited excellent refinement in grains with uniform HEA reinforcement distribution. The grains were observed to be in nano level post-annealing promoting exceptional microhardness. The pin-on-disc wear test was conducted by varying load (10-40N), sliding velocity (0.5–3.5 m/s) and sliding distance (500–2000 m) and the respective worn surface was analysed. The processed sample with HEA after annealing offered 29.8%, 57.4% and 58.49% improved wear resistance at the minimum level of load, sliding velocity and sliding distance than the processed base samples. The worn morphology revealed delamination, abrasion, adhesion and oxide layer formation to be the predominant wear mechanisms.
Exploring the cytotoxicity of dinuclear Ru(ii) p-cymene complexes appended N,N′-bis(4-substituted benzoyl)hydrazines: insights into the mechanism of apoptotic cell death
Authors: Abirami Arunachalam , Devan Umapathy , Ramesh Rengan , Antony Joseph Velanganni Arockiam , Małecki Jan Grzegorz 
Published: February 2024

A set of dinuclear arene Ru(ii) hydrazine complexes were synthesized and characterized. All the complexes exhibited excellent cytotoxicity against distinct human cancer cells and the apoptotic cell death was assessed by various biochemical analyses.
A novel deep learning technique to detect electricity theft in smart grids using AlexNet
Authors: Khan Nitasha , Shahid Zeeshan , Alam Muhammad Mansoor , Sajak Aznida Abu Bakar , Nazar Mobeen , Mazliham Mohd Suud 
Published: February 2024

AbstractElectricity theft (ET), which endangers public safety, interferes with the regular operation of grid infrastructure, and increases revenue losses, is a significant issue for power companies. To find ET, numerous machine learning, deep learning, and mathematically based algorithms have been published in the literature. However, these models do not yield the greatest results due to issues like the dimensionality curse, class imbalance, inappropriate hyper‐parameter tuning of machine learning, deep learning models etc. A hybrid DL model is presented for effectively detecting electricity thieves in smart grids while considering the abovementioned concerns. Pre‐processing techniques are first employed to clean up the data from the smart meters, and then the feature extraction technique, AlexNet is used to address the curse of dimensionality. An actual dataset of Chinese smart meters is used in simulations to assess the efficacy of the suggested approach. To conduct a comparative analysis, various benchmark models are implemented as well. This proposed model achieves accuracy, precision, recall, and F1‐score, up to 86%, 89%, 86%, and 84%, respectively.
Empleo de levaduras no-Saccharomyces como estrategia para aumentar la acidez de vinos dulces en un contexto de cambio climático
Authors: Sánchez-Suárez Fernando , de Lerma Nieves López , del Valle Palenzuela María , Rosal Antonio , Moreno Juan , Peinado Rafael A. 
Published: February 2024

Resumen
El cambio climático está afectando negativamente la calidad de los vinos de las regiones más meridionales de Europa. Uno de los efectos más acusados es el descenso en la acidez de los mostos y la subida del pH, además de la disminución del potencial aromático. En respuesta a este problema, se ha evaluado un método para mejorar la acidez y el aroma de los vinos mediante el uso de levaduras no-Saccharomyces, específicamente Lachancea thermotolerans y Torulaspora delbrueckii. Se ha utilizado mosto de una variedad de uva blanca de baja acidez y aroma neutro (Cayetana Blanca) para evaluar la capacidad mejorante de estas levaduras en la producción de vinos dulces. Tras la fermentación y el posterior análisis analítico, aromático y organoléptico, se ha observado un aumento de acidez producido por la levadura Lachancea thermotolerans debido a la producción de ácido láctico durante la fermentación. Además, esta levadura se percibe como más atractiva por los catadores expertos en los tres ítems evaluados (fase visual, olfativa y gustativa). Son necesarios futuros estudios para saber más sobre el metabolismo de estas levaduras y mejorar los vinos producidos mediante variaciones en las condiciones de fermentación, realizando coupages o seleccionando cepas específicas de estas levaduras.
Adolescent drinking: Should sources of alcohol be distinguished in studies?
Authors: Brugiere Françoise 
Published: February 2024

Adolescence is a period of critical and decisive life in the exploration of limits, the experimentation of products and the setting up of future behaviours of the adult in becoming. Many qualitative and quantitative studies are concerned with this age of life and particularly with the risk practices of adolescents. Today, digital technologies make it possible to collect more information on ever larger samples. In the case of alcohol, should all alcoholic beverages be considered to be problematic in themselves, or would it be relevant to distinguish between the different drinks and the specific consumption practices associated with them?
The communication explores these different options through international bibliographic research.
Substantiating and Adopting Lung Ultrasound Scores to Predict Surfactant Need in Preterm Neonates with Respiratory Distress Syndrome within an Institution
Authors: Chan Belinda , Torsitano Christopher , Gordon Sasha , Konana Olive , Singh Yogen 
Published: February 2024

Objective Administering surfactant timely and appropriately is important to minimize lung injury but remains challenging in preterm neonates with respiratory distress syndrome. The published literature supports that lung ultrasound (LUS) score can predict surfactant need. Neonatal LUS scanning specification and parameter setting guidelines have been recently published for standardization. However, variations in scanning protocols and machine settings hinder its clinical implementation widely. This observational study aims to internally validate the suggested LUS protocol in a neonatal intensive care unit to establish a correlation between LUS scores and surfactant need as the first step of integrating LUS in the clinical practice.
Study Design LUS was performed on 40 eligible preterm neonates within 3 hours after birth or before surfactant administration between May 2020 and March 2021. The neonates were between 27 and 32 weeks' gestational age, and all had respiratory distress. Neonates with known congenital anomalies were excluded. A high-frequency linear probe was used to obtain LUS images from six lung zones which were scored using a 0 to 3 system, yielding a maximum of 18 points. Treating physicians were blinded to the LUS score. Receiver operating characteristic analysis determined the optimal LUS score cut-off for predicting surfactant need.
Results Fifteen of the 40 neonates (38%) required higher oxygen fraction and received surfactant. In our cohort, an LUS score ≥10 was identified as the optimal cut-off for predicting surfactant need, with a sensitivity of 80% and specificity of 84%. The area under the curve was 0.8 (p = 0.0003). LUS predicted surfactant need at a median of 3.5 hours earlier than traditional clinical decision (p < 0.0037).
Conclusion LUS is a helpful adjunct for predicting surfactant need in preterm neonates. This study describes an approach to implement the LUS protocol and score for clinical decision-making in the clinical practice.
Key Points
To do justice to Foucault: Foucault and Derrida in couples therapy with Freud
Authors: Brenner Leon S. 
Published: February 2024

AbstractThis paper elaborates key factors in Michel Foucault and Jacques Derrida’s long polemical argument over the question of madness. The paper focuses on Foucault’s consideration of a constitutive exclusion underlying the discourse of reason and unreason, as well as his insistence on that exclusion’s singular relationship with madness. This exclusion is then developed in psychoanalytic terms augmenting the constitutive gesture that Sigmund Freud attributed to the plurality of subjective structures elaborated in his metapsychology. The psychoanalytic determination of constitutive exclusion is posed as being situated at a privileged position that enables it to consolidate the polemic debate between Foucault and Derrida about madness. By doing so, the intersection of Foucault's theory of madness with Freud’s psychoanalysis is shown to be fruitful territory, epitomizing a hospitality to madness—thus, doing justice to Foucault in light of Derrida’s critique.
Discovering novel halide perovskite alloys using multi-fidelity machine learning and genetic algorithm
Authors: Yang Jiaqi , Manganaris Panayotis , Mannodi-Kanakkithodi Arun 
Published: February 2024

Expanding the pool of stable halide perovskites with attractive optoelectronic properties is crucial to addressing current limitations in their performance as photovoltaic (PV) absorbers. In this article, we demonstrate how a high-throughput density functional theory (DFT) dataset of halide perovskite alloys can be used to train accurate surrogate models for property prediction and subsequently perform inverse design using genetic algorithm (GA). Our dataset consists of decomposition energies, bandgaps, and photovoltaic efficiencies of nearly 800 pure and mixed composition ABX3 compounds from both the GGA-PBE and HSE06 functionals, and are combined with ∼100 experimental data points collected from the literature. Multi-fidelity random forest regression models are trained on the DFT + experimental dataset for each property using descriptors that one-hot encode composition, phase, and fidelity, and additionally include well-known elemental or molecular properties of species at the A, B, and X sites. Rigorously optimized models are deployed for experiment-level prediction over &gt;150 000 hypothetical compounds, leading to thousands of promising materials with low decomposition energy, band gap between 1 and 2 eV, and efficiency of &gt;15%. Surrogate models are further combined with GA using an objective function to maintain chemical feasibility, minimize decomposition energy, maximize PV efficiency, and keep bandgap between 1 and 2 eV; thus, hundreds more optimal compositions and phases are discovered. We present an analysis of the screened and inverse-designed materials, visualize ternary phase diagrams generated for many systems of interest using machine learning predictions, and suggest strategies for further improvement and expansion in the future.
Effect of heat stress on the reproductive performance of sows: comparison of different thermal-comfort indices in a temperate climate
Authors: Villa-Mancera Abel , Méndez-Rosas Maricela , Cruz-Aviña Juan 
Published: February 2024

Context Heat stress is a major environmental factor negatively affecting animal health and production efficiency of the sow, and causes significant economic losses to the global pig industry. Researchers have developed various thermal indices with different characteristics for assessing the level of heat stress in pigs, including the temperature–humidity index (THI), black globe–humidity index (BGHI), effective temperature (ET), equivalent temperature index of sows (ETIS), and enthalpy (H), among others. Aims The aim of this study was to evaluate the effect of heat stress on reproductive performance by using different thermal indices based on environmental variables in a temperate climate and to compare the goodness-of-fit among them. Methods In total, 2951 sow reproductive records were analysed for a Puebla farm in the northern hemisphere. Key results The overall means for pregnancy, farrowing, and abortion rates over the period from January to December 2020 were 83.1%, 80.67%, and 5.2%, whereas temperature, relative humidity, and air velocity were 24.3°C, 63.0%, and 3.7 m/s respectively. The highest rates of pregnancy and farrowing over the study period were observed in March, while the abortion rate was highest in December. However, the mean daily temperatures exceeded 25°C between March and June, being higher the upper limit of the thermoneutral zone for sows. Many thermal indices have been used to estimate the level of heat stress in pigs, such as the THI, BGHI, ET, and ETIS. We used 11 thermal indices to measure the degree of heat stress affecting fertility traits of animals. Pregnancy and farrowing rates were highest for THI2 and THI6 values, reflecting moderate stress at pregnancy and farrowing periods. Statistically signiﬁcant differences were found between the THI2, THI4, THI6, and ET values and the pregnancy, farrowing, and abortion rates (P < 0.05). Conclusions Our results showed that the THI2 performs better for evaluating the level of heat stress in sows than do other thermal-comfort indices such as the THI4, THI6, and ET. Implications These results may be useful for accurate assessment of heat stress to mitigate its effects and avoid significant economic losses in sows in temperate climates.
The World of Daily Life
Authors: Rasmussen Gitte , Kristiansen Elisabeth , Poulsen Søren Vigild 
Published: February 2024

Abstract
Within social scientific research searching for products is overwhelmingly reduced and represented as an activity that is embedded in decision-making processes. This study shows that searching is extremely multimodally rich and complex and that structured stages of searching are the product of customers’ efforts to order this complexity in and through concrete actions. Importantly, it also shows that customers carry out these actions un-hesitantly in both physical Brick-and Mortar (B&M) shops and in web-shops. The paper concludes that descriptions of searching need to take the nature of the multimodal environment as well as customers’ approach and engagement with it into consideration: searching for products is multimodally rich and complex and yet it is simple.
The study is situated within the broad fields of EMCA and Social Semiotics in multimodality. It is based on video-recordings and eye‑tracking recordings of customers’ buying practices in different kinds of (web)shops.
Los puertorriqueños se les está cayendo la “a”
Authors: Vélez Avilés Jessica 
Published: February 2024

Abstract
This study addresses a gap in the extensive literature on Spanish indirect objects by offering a study of unmarked
datives (i.e.,
Ø eso le pones un papel de aluminio ‘to that you put
an aluminum foil’; PRESEEA 2001). Analyzed are the linguistic constraints on the
variable absence of dative marker a ‘to’ in corpora of spoken Puerto Rican Spanish, in which the rate of marker
absence is 33% (n = 380). Results of logistic regression analysis reveal that unmarked datives occurred with low
frequency, non-prototypical dative verbs. Inanimate referents favored the absence of the dative marker, as did complex DPs, where
the dative phrase and the clitic pronoun+verb are not adjacent. The findings are discussed from the twin perspectives of analogy
as a mechanism of change and frequency effects: unmarked datives seem to most affect items at the margins of the dative category,
in terms of both verbs and referents.
Microwave time reversal for nondestructive testing of buried small damage in composite materials
Authors: An Kang , Li Changyou , Long Guoqian , Ding Jun 
Published: February 2024

Abstract
Composite materials are widely applied in aerospace, civil engineering, and sports equipment. Various damages produced during fabrication and long-term use can destroy its original mechanical properties, which brings safety and structural healthy concerns. Microwave imaging based on time reversal (TR) is one of the most promising nondestructive testing methods for portable, low-cost, and accurate testing with the advantages of auto-focus and super-resolution. This paper applied microwave TR for the detection of buried small damage in composites backed by metal plates. Strong reflection from composite–metal interfaces brings challenges in successfully achieving time-reversal auto-focusing on small and weak-scattering damages in composites. Traditional target localization methods, including the entropy regularization method and time-integrated energy method, may result in the wrong localization of small damages. The main contribution of this paper is that the localization problem caused by the strong reflection from metal plates is revealed first, and the target initial reflection method from through-wall-radar imaging is introduced to solve it. The performance of three target localization methods is investigated, and the physical reasons for failure or successful localization are discussed in detail. Some performance influence factors, such as the arrangement of receivers or the total time step of received signals, are also discussed. Good performance for the detection of a single small damage with a weak scattered signal is achieved, and the performance for detecting multiple damages is studied. All time-reversal simulations are carried out based on the finite-difference time-domain method.