bluuebunny/crossref_metadata_2025_split huggingface dataset:
Psychometric Characteristics of the Italian Version of the Revised Sociosexual Orientation Inventory
Authors: Ciocca Giacomo , Giorgini Roberto , Petrocchi Laura , Origlia Giulia , Occhiuto Giuseppe , Aversa Antonio , Liuzza Marco Tullio 
Published: June 2024

AbstractSociosexuality refers to the tendency to engage in uncommitted sexual behavior and has been dissected into three domains: sociosexual behavior, attitudes, and desire (Penke & Asendorpf, 2008), which led to the revised Sociosexual Orientation Inventory (SOI-R), which was validated on a German sample. The current research aimed at translating and validating an Italian version (I-SOI-R), administered to three distinct Italian participant groups. In the first sample (N = 710, females = 521, age = 18–59 years), we found evidence for a bifactor model, articulated in a general sociosexuality factor and three specific factors (behavior, attitudes, desire). High internal consistency was established for total and subscale scores, alongside favorable test–retest reliability. A connection was found between relationship status and sociosexual desire, though not gender dependent. We found evidence for test–retest reliability in a second sample (N = 55, females = 37, age 20–58 years). In a third study (N = 305, females = 147, age = 19–60 years), the earlier findings were replicated, further confirming the I-SOI-R's construct, criterion, and nomological validity on an online sample. Combining data from the three studies revealed full configural, metric, and scalar invariance regarding gender. This allowed us to meaningfully compare the observed scores of women and men and replicated the finding that men display higher levels of unrestricted sociosexuality. In conclusion, the I-SOI-R may serve as a valuable tool to assess and enhance sexual health, albeit warranting future research on construct and criterion validity.
Not Even Absent: Dependent Origination, Emptiness, and the Two Truths in the Thought of Nāgārjuna
Authors: Macor Jackson Cole 
Published: June 2024

AbstractAs one of the most pivotal thinkers in the history Mahāyāna Buddhism, the writings of Nāgārjuna have long attracted the attention of scholars aiming to interpret in declarative terms the meaning of the arguments contained therein. However, the very aim of such an endeavor that seeks to ascribe to Nāgārjuna a philosophical position is fundamentally at odds with the unwaveringly critical nature of his project. In order to illustrate the singular character of Nāgārjuna’s methodology, this article seeks to clarify three crucial points concerning his thought: (1) the central concept in his philosophical works, dependent origination (pratītyasamutpāda), ironically denotes the non-origination (anutpāda) of any entity (bhāva) whatsoever and is universal in scope; (2) emptiness (śūnyatā) is not a meaningful predicate of any entity, meaning that no entity exists that can be identified as being empty; and (3) the Two Truths (satyadvaya) are not a philosophically significant device for Nāgārjuna and subsequently do not provide a means by which to mitigate the radical consequences of his arguments. As a result, we can understand Nāgārjuna’s claim to have no postulative thesis (pratijñā) as a statement that he predicates no quality (dharma) of any subject (dharmin), and that his methodology is strictly critical, offering us no constructive theory by which to make sense of reality.
Mannooligosaccharide production from açaí seeds by enzymatic hydrolysis: optimization through response surface methodology
Authors: Murillo-Franco Sarha Lucia , Galvis-Nieto Juan David , Orrego Carlos E. 
Published: June 2024

AbstractRecognized for its bioactive compounds, açaí has become a functional food, but it has a low pulp yield, and the seeds are the main waste. This study investigates the potential of açaí seeds (Euterpe oleracea Mart.) to produce mannooligosaccharides (MOS) through enzymatic hydrolysis. Using response surface methodology (RSM), the research optimizes MOS extraction while minimizing mannose production and reducing processing time, achieving MOS production of about 10 g/L, a value within the range of similar investigations. The RSM quadratic models establish correlations between MOS production (M2–M5) and enzymatic hydrolysis conditions, with R2 values ranging from 0.6136 to 0.9031. These models are used to emphasize MOS performance (M2–M5) while reducing mannose production, which also promotes profitability by reducing time. Experimental validation agrees with model predictions, highlighting optimal conditions near 40 °C, intermediate enzyme loading, and basic pH that effectively promotes MOS generation on mannose within an accelerated processing time frame. With predictions of experimental results within a margin of error of < 9%, the validity of the models was acceptable. This research contributes to the advancement of the understanding of the enzymatic hydrolysis of açaí seeds, which is a step toward the sustainable use of resources with a focus on process engineering aspects.
A novel framework for deriving water retention behavior of multimodal unsaturated soils based on pore size distribution data
Authors: Yan Wei , Cudmani Roberto 
Published: June 2024

AbstractThe soil water retention curve (SWRC) strongly influences the hydro-mechanical properties of unsaturated soils. It plays a decisive role in geotechnical and geo-environmental applications in the vadose zone. This paper advances a novel framework to derive the water retention behavior of multimodal deformable soils based on the pore size distribution (PSD) measurements. The multiple effects of suction on the soil pore structure and total volume during SWRC tests are considered. The complete picture of soil microstructure is quantitatively described by the void ratio (for the pore volume) and a newly defined microstructural state parameter (for pore size distribution) from a probabilistic multimodal PSD model. Assuming a reversible microstructure evolution, a unique PSD surface for wetting and drying links the SWRC and PSD curves in the pore radius-suction-probability space. A closed-form water retention expression is obtained, facilitating the model's implementation in particle applications. The model is validated using the water retention data of four different soil types, showing a strong consistency between the measurement and the reproduced curve. The proposed method provides new insights into the pore structure evolution, the water retention behavior and the relationship between them for multimodal deformable soils.
Advancing Gamification Research and Practice with Three Underexplored Ideas in Self-Determination Theory
Authors: Gao Fei 
Published: June 2024

AbstractGamification possesses a great potential to shape human behaviors and performance. However, the mixed results in gamification research suggest the need to develop a thorough understanding of the mechanistic underpinnings of gamification. Although self-determination theory (SDT) provides a solid theoretical framework to achieve such purposes, it has been mostly applied superficially, limiting its potential to significantly impact gamification research and practice. This paper suggests that SDT, particularly three ideas in SDT – a continuum of motivation, the mutually supportive nature of basic psychological needs, and the functional significance of an event – have not been fully explored in gamification research and practice. Attention to the three ideas and relevant SDT literature will advance gamification research and practice in the following ways. First, the idea of continuum of motivation can serve as a powerful framework to conceptualize gamification. Second, the ideas of mutually supportive nature of basic psychological needs and the functional significance of an event can help us develop a nuanced instead of simplistic approach to gamification design. Finally, the three ideas suggest important research directions that have yet to be fully explored in current gamification research.
Contraction assessment of abdominal muscles using automated segmentation designed for wearable ultrasound applications
Authors: Strohm Hannah , Rothluebbers Sven , Perotti Luis , Stamm Oskar , Fournelle Marc , Jenne Juergen , Guenther Matthias 
Published: June 2024

Abstract
Purpose
Wearable ultrasound devices can be used to continuously monitor muscle activity. One possible application is to provide real-time feedback during physiotherapy, to show a patient whether an exercise is performed correctly. Algorithms which automatically analyze the data can be of importance to overcome the need for manual assessment and annotations and speed up evaluations especially when considering real-time video sequences. They even could be used to present feedback in an understandable manner to patients in a home-use scenario. The following work investigates three deep learning based segmentation approaches for abdominal muscles in ultrasound videos during a segmental stabilizing exercise. The segmentations are used to automatically classify the contraction state of the muscles.

Methods
The first approach employs a simple 2D network, while the remaining two integrate the time information from the videos either via additional tracking or directly into the network architecture. The contraction state is determined by comparing measures such as muscle thickness and center of mass between rest and exercise. A retrospective analysis is conducted but also a real-time scenario is simulated, where classification is performed during exercise.

Results
Using the proposed segmentation algorithms, 71% of the muscle states are classified correctly in the retrospective analysis in comparison to 90% accuracy with manual reference segmentation. For the real-time approach the majority of given feedback during exercise is correct when the retrospective analysis had come to the correct result, too.

Conclusion
Both retrospective and real-time analysis prove to be feasible. While no substantial differences between the algorithms were observed regarding classification, the networks incorporating the time information showed temporally more consistent segmentations. Limitations of the approaches as well as reasons for failing cases in segmentation, classification and real-time assessment are discussed and requirements regarding image quality and hardware design are derived.
User-centered design of an augmented reality inspection tool for industry 4.0 operators
Authors: Barbieri Loris , Marino Emanuele , Bruno Fabio , Muzzupappa Maurizio , Colacino Biagio 
Published: June 2024

AbstractIn the context of Industry 4.0, the Operator 4.0 paradigm plays a crucial role in seamlessly integrating new digital technologies into smart factories. These technologies are designed to accommodate workers with varying skills, capabilities, and preferences. To promote the adoption of these innovative digital tools and ensure high user acceptance, it is essential to prioritize human factors and place workers at the heart of the development process. This can be achieved through structured design strategies, such as those employed in user-centered design approaches. Within this framework, this paper introduces an innovative Augmented Reality tool designed to facilitate and streamline real-time inspection activities performed by operators on assembled products at the workplace. The development of this tool was based on a user-centered design approach, which actively engaged end-users at different stages of design and testing phases. User studies were conducted using a real case study to evaluate the usability and user acceptance of the proposed solution. The results are encouraging, indicating a promising path forward for the effective and valid implementation of this AR tool in an industrial setting.
Intended or new parenthood? The child’s best interest: Italy and the European Court of Human Rights
Authors: Nardocci Costanza 
Published: June 2024

AbstractThe article investigates domestic and supranational responses towards new forms of parenthood in the light of the child’s best interest. Examining the case law of the European Court of Human Rights and the Italian Courts on artificial reproductive technologies and surrogacy agreements, this article contends that the European Court of Human Rights did not abandon the ideal type of families based on biological bonds despite efforts to ensure the paramount relevance of children’s rights. Interlacing the Italian case and the European Court of Human Rights’ judgments against Italy, this article argues that persists a long way before the full recognition of forms of parenthood lacking genetic links, despite the willingness to safeguard the legal status of the child.
ESM data downscaling: a comparison of super-resolution deep learning models
Authors: Pawar Nikhil M. , Soltanmohammadi Ramin , Mahjour Seyed Kourosh , Faroughi Salah A. 
Published: June 2024

AbstractClimate projections at fine spatial resolutions are required to conduct accurate risk assessment for critical infrastructure and design adaptation planning. Generating these projections using advanced Earth system models (ESM) requires significant computational resources. To address this issue, various statistical downscaling techniques have been introduced to generate fine-resolution data from coarse-resolution simulations. In this study, we evaluate and compare five deep learning-based downscaling techniques, namely, super-resolution convolutional neural networks, fast super-resolution convolutional neural network ESM, efficient sub-pixel convolutional neural network, enhanced deep residual network (EDRN), and super-resolution generative adversarial network (SRGAN). These techniques are applied to a dataset generated by the Energy Exascale Earth System Model (E3SM), focusing on key surface variables such as surface temperature, shortwave heat flux, and longwave heat flux. Models are trained and validated using paired fine-resolution (0.25$$^{\circ }$$

∘

) and coarse-resolution (1$$^{\circ }$$

∘

) monthly data obtained from a 9-year simulation. Next, blind testing is performed using monthly data obtained from two different years outside of the training and validation set. To evaluate the efficiency of each technique, different statistical metrics are used, including mean squared error (MSE), peak signal-to-noise ratio (PSNR), structural similarity index measure (SSIM), and learned perceptual image patch similarity (LPIPS). The results show that EDRN outperforms other algorithms in terms of PSNR, SSIM, and MSE, but struggles to capture fine-scale features in the data. In contrast, SRGAN, a generative model that uses perceptual loss, excels in capturing fine details at boundaries and internal structures, resulting in lower LPIPS than other methods.
Thermoregulation, incubator humidity, and skincare practices in appropriate for gestational age ultra-low birth weight infants: need for more evidence
Authors: Mishra Umesh , August Deanne , Walker Karen , Jani Pranav R. , Tracy Mark 
Published: June 2024

Abstract
Background
Although not universal, active care is being offered to infants weighing < 500 g at birth, referred to as ultra-low birth weight (ULBW) infants appropriate for gestational age. These infants have the greatest risk of dying or developing major morbidities. ULBW infants face challenges related to fluid and heat loss as well as skin injury in the initial days of life from extreme anatomical and physiological immaturity of the skin. Although there is an emerging literature on the outcomes of ULBW infants, there is a paucity of evidence to inform practice guidelines for delivering optimal care to this cohort of infants.

Data sources
A comprehensive review of the literature was performed using the PubMed and Embase databases. Searched keywords included “thermoregulation or body temperature regulation”, “incubator humidity”, “skin care”, “infant, extremely low birth weight” and “ultra-low birth weight infants”.

Results
Evidences for thermoregulation, incubator humidity, and skincare practices are available for preterm infants weighing < 1500 g at birth but not specifically for ULBW infants. Studies on thermoregulation, incubator humidity, or skincare practices had a small sample size and did not include a sub-group analysis for ULBW infants. Current practice recommendations in ULBW infants are adopted from research in very and/or extremely low birth weight infants.

Conclusions
This narrative review focuses on challenges in thermoregulation, incubator humidity, and skincare practices in ULBW infants, highlights current research gaps and suggests potential developments for informing practices for improving health outcomes in ULBW infants.
Low expression of the CCL5 gene and low serum concentrations of CCL5 in severe invasive group a streptococcal disease
Authors: Kailankangas V , Katayama S , Gröndahl-Yli-Hannuksela K , Vilhonen J , Tervaniemi MH , Rantakokko-Jalava K , Seiskari T , Lönnqvist E , Kere J , Oksi J , Syrjänen J , Vuopio J 
Published: June 2024

Abstract

Purpose
Our objective was to elucidate host dependent factors of disease severity in invasive group A Streptococcal disease (iGAS) using transcriptome profiling of iGAS cases of varying degrees of severity at different timepoints. To our knowledge there are no previous transcriptome studies in iGAS patients.

Methods
We recruited iGAS cases from June 2018 to July 2020. Whole blood samples for transcriptome analysis and serum for biomarker analysis were collected at three timepoints representing the acute (A), the convalescent (B) and the post-infection phase (C). Gene expression was compared against clinical traits and disease course. Serum chemokine ligand 5 (CCL5, an inflammatory cytokine) concentration was also measured.

Results
Forty-five patients were enrolled. After disqualifying degraded or impure RNAs we had 34, 31 and 21 subjects at timepoints A, B, and C, respectively. Low expression of the CCL5 gene correlated strongly with severity (death or need for intensive care) at timepoint A (AUC = 0.92), supported by low concentrations of CCL5 in sera.

Conclusions
Low gene expression levels and low serum concentration of CCL5 in the early stages of an iGAS infection were associated with a more severe disease course. CCL5 might have potential as a predictor of disease severity.

Summary
Low expression of genes of cytotoxic immunity, especially CCL5, and corresponding low serum concentrations of CCL5 associated with a severe disease course, i.e. death, or need for intensive care, in early phase of invasive group A Streptococcal disease.
Patient Blood Management for the Critically-Ill Patient
Authors: Littlejohn James , Shen Liang , Srivastava Ankur , Navare Sagar , Barnhard Sarah 
Published: June 2024

Abstract
Purpose of the Review
Anemia in the critically ill is both insidious and highly prevalent; and has been implicated in poor outcomes in patients with and recovering from critical illness. Patient-oriented approaches to blood management (PBM) are gaining momentum and have widespread applications as a superior approach to anemia. The volume of publications pertaining to PBM has dramatically increased in the past 4 years, warranting further review of emerging paradigms in the ICU.

Recent Findings
IV iron alone and in conjunction with erythropoietin are being studied prospectively. Factor concentrates are used more frequently, and both point of care and viscoelastic testing algorithms have been shown to reduce utilization of blood products. Both whole blood and thrombopoietin also show promise in reducing transfusions.

Summary
Careful attention to PBM approaches has the potential to improve the quality and reduce the cost of care of patients in the ICU. Significant work remains, especially in the areas of education of care teams on the importance of reducing phlebotomy and updating knowledge of current indications for therapies aimed at increasing hemoglobin levels and reducing blood product transfusions.
Source types of induced earthquakes in underground mines: Revealed by regional moment tensor inversion
Authors: Liu Chengyu , Qu Junhao , Li Guoyi , Li Bo , Liu Fangbin , Zhang Zhihui , Li Zhiheng 
Published: June 2024

AbstractMining-induced earthquakes have been very frequent in recent years due to increasing mechanized mining. Compared with natural earthquakes, even a small one may cause significant damage to the mine area and its surroundings. Source type identification is important for better understanding the physical processes and is a crucial and fundamental issue for hazard assessment and emergency rescue in the mining environment. The moment tensor (MT) theory plays a pivotal role in distinguishing different source types. In this study, we concentrated on two strong reported “mine collapse earthquakes” in Qufu (ML 3.2, July 13, 2020) and Zoucheng (ML2.9, June 09, 2020), Shandong Province, China. Seismograms from regional seismic stations were utilized to calculate the full moment tensors through low-frequency full-waveform inversion. Our results show that the two studied events exhibit notably different source types. The DC (Double-Couple) component of both events are 5% (Qufu) and 60% (Zoucheng), respectively. The Qufu event which contains approximately 75% closing crack component, is more consistent with the theoretical models of collapse seismic source. However, the Zoucheng event, which exhibits a significant proportion of DC components, demonstrates characteristics typical of shear failure. Focusing on the Zoucheng event, which occurred at the Dongtan Coal Mine, further research was conducted on a local mining scale. Analyzed in conjunction with microseismic sensor data, geologic setting, and mining progress, we illustrated that the source type of Zoucheng event is not a collapse one. The fracture slip of a thick-hard roof due to an overlying load, characterized by a large DC component, is a plausible geomechanical interpretation.
Cold Water Phenomenon in Autumn in the Sea Area of the Xisha Islands
Authors: Sun Ruili , Li Peiliang , Zhai Fangguo , Gu Yanzhen , Zhang Yang , Wang Weili 
Published: June 2024

AbstractUsing satellite observation and reanalysis data, we studied the cold water phenomenon in the sea area of the Xisha Islands in autumn from 2003 to 2022. The cold water phenomenon refers to a colder water body relative to its surrounding area, which can partially offset the impact of global warming, thereby contributing to the protection and restoration of marine ecosystems. The cold water with a central position close to the Xisha Islands is distributed in a nearly circular area, and exhibits seasonal and interannual variations. It usually occurs at the end of September, with its intensity rapidly increasing and reaching its peak on October 1, then gradually weakening, and finally disappearing by November 6. The maximum intensity of the cold water phenomenon can reach 1.6°C. This phenomenon notably observed in October 2006, 2009, 2013 and 2022, with intensities reaching 0.9°C, 1.1°C, 1.1°C, and 0.4°C, respectively. The dynamic mechanism of its formation can be described as follows: in autumn of some years, the northeast monsoon occurs in the northern part of the South China Sea (SCS), while the southwest monsoon still prevails in the southern part of the SCS, which causes the generation of strong positive wind stress curl (WSC) near the Xisha sea area. The positive WSC causes cyclonic circulation and further causes upwelling through Ekman pumping, which transports low‐temperature water from the seabed to the sea surface and thus leads to the occurrence of the cold water phenomenon in the Xisha sea area.