bluuebunny/crossref_metadata_2025_split huggingface dataset:
Partner’s problematic social media use, woman’s time perspective, and prenatal depression
Authors: Sobol Małgorzata , Błachnio Agata , Hryhorchuk Inna , Plucinska Elzbieta , Stasiniewicz Janusz , Przepiórka Aneta 
Published: June 2024

Abstract

Purpose
Using social media can have negative consequences. The present study aimed to examine how the partner’s problematic social media use (SMU) was related to the pregnant woman’s time perspective and prenatal depression.

Methods
The study included 30 pregnant women and their 30 male partners. Research was conducted twice: in the first and third trimesters of pregnancy. Women completed online measures: the Zimbardo Time Perspective Inventory Fatalism scale (ZTPI-Fat), the Dark Future Scale (DFS), and the Edinburgh Postpartum Depression Scale (EPDS). Men completed the online Social Media Addiction Questionnaire (SMAQ).

Results
The woman’s depressive symptoms were positively associated with fatalism (r = .35, p < .01 in the first trimester; r = .49, p < .01 in the third trimester) and future negative perspective (r = .33, p < .05 in the first trimester; r = .77, p < .001 in the third trimester). Moreover, in the third trimester, women’s depressive symptoms correlated positively with their partners’ problematic SMU (r = .36, p < .05) and negatively with their financial situation (r = − .37, p < .05). The results of the mediation analyses showed that the more intensive the partner’s problematic SMU, the stronger the pregnant woman’s fatalism and, consequently, the stronger her future negative perspective, resulting in more severe prenatal depressive symptoms in the third trimester (indirect effect: β = .16, SE = .09, 95% CI [.021, .393]).

Conclusions
Our findings show how important the behavior of the partner is for the mental health of the pregnant woman. The results suggest a possible mechanism explaining the relationship between the partner’s problematic SMU and the woman’s prenatal depressive symptoms. This mechanism probably consists in increasing the woman’s sense of helplessness and loss of control over life, which leads to intensified future anxiety and, consequently, to depressive symptoms. Moreover, we interpreted the results to mean that the partner’s time-consuming preoccupation with SMU may make the woman feel emotionally neglected. The lack of support from the partner may give rise to feelings of powerlessness, and may cause depressive symptoms.
Less-is-more: auditory strategies for reduced reality
Authors: Grimshaw-Aagaard Mark , Walther-Hansen Mads 
Published: June 2024

AbstractIn this paper, we propose a reduced reality [RR] concept of less-is-more that virtual reality [VR] designers can use to create technological frameworks which reduce sensory overload and allow for better concentration and focus, less stress, and novel scenarios. We question the approach taken by scholars in the field of extended reality [XR] research, where the focus is typically to design and use technology that adds sensory information to the user’s perceptual field, and we address some of the confusion related to the typical uses of the term reality. To address the latter terminological muddle, we define reality as our conscious experience of the environment, an emergent perception, and we use this definition as the basis for a discussion on the role of sound in balancing sensory information and in the construction of less cluttered and less stressful perceptual environments. We further discuss current auditory strategies that reduce and alter auditory stimuli, and we suggest potential future strategies for RR that use crossmodal design approaches, masking, and filtering techniques.
Association between the irrigation-agitation techniques and Periapical Healing of large periapical lesions: a Randomized Controlled Trial
Authors: Doğan Mehmet Umutcan , Arıcıoğlu Banu , Köse Taha Emre , Çıkman Ahter Şanal , Öksüzer Merve Çoban 
Published: June 2024

Abstract
Objectives
The aim of this study was to evaluate the effects of manual dynamic activation (MDA), passive ultrasonic irrigation (PUI), and laser-activated irrigation (shock wave-enhanced emission photoacoustic streaming (SWEEPS)) on the periapical healing of large periapical lesions following nonsurgical root canal treatment.

Materials and methods
A total of fifty-six systemically healthy patients with a mandibular single-rooted tooth with periapical lesions of endodontic origin and a periapical index score of 3 or higher were included in the study. Before the treatment procedures, lesion volumes were determined volumetrically using cone–beam computed tomography (CBCT). Patients were randomized into treatment (MDA, PUI, SWEEPS) and control groups (n = 14). Root canal treatment and irrigation procedures were performed by a calibrated postgraduate operator and completed at one visit. For routine follow-up, clinical and radiographic evaluations were performed by a blinded evaluator using periapical (PA) radiographs according to Molven’s criteria at 3, 6, and 9 months. At 12 months, lesion volumes were quantified volumetrically using CBCT (ITK-SNAP). The data were statistically analyzed with the Wilcoxon test. The significance level was set at p < 0.05.

Results
In all groups, the mean lesion volume after treatment was significantly smaller than the mean volume before treatment (p = 0.001). Among the 56 teeth, 11 teeth were ‘totally healed’, and 39 teeth were ‘reduced’ on PA radiographs. No ‘enlargement’ was detected in any group. On CBCT, the lesion volume decreased in the following order: LAI-SWEEPS (86.9%) > PUI (85.4%) > MDA (80.4%) > control (74.5%), with no statistically significant difference (p > 0.05).

Conclusions
Despite the limitations of the present study, although a greater percentage of healing was observed in the LAI-SWEEPS and PUI groups, irrigation procedures had no statistically significant effect on the healing of periapical lesions with a single root canal at the 12-month follow-up. On the other hand, the outcome may change in multirooted teeth with curved and complex root canal systems.

Clinical relevance
In the short term and in single-canal teeth, advanced irrigation agitation methods such as laser and ultrasonic did not make a difference in healing other than manual irrigation agitation.
Life cycle assessment and circular practices in the woodworking sector: a systematic review
Authors: Van den Auwelant Ewald , Nimmegeers Philippe , Van Passel Steven 
Published: June 2024

AbstractTo shift toward a bio-based and circular economy, wood is seen as a key component. To assess the environmental impact of wood utilization, life cycle assessment (LCA) is used. However, current LCAs lack comparability. To be comparable, LCAs must be reproducible, transparent, and follow the same approach. Hence, the goal of the study is to identify the level of harmonization among state-of-the-art LCA applications within the woodworking sector via a comprehensive systematic literature review. The results show that LCA has been applied to various products and processes in the woodworking sector and highlight the predominance of the construction sector. Examining the different LCA phases, different approaches and policies are identified. Recommendations are presented on how LCAs for the woodworking sector can be streamlined. This involves general recommendations for LCA practitioners and policymakers to have at least a cradle-to-grave approach, a standardization of the background and the technical backbone of the foreground system, a harmonized impact assessment method, and performing a sensitivity analysis for the interpretation of the results. For woodworking specifically, temporal, and spatial considerations, accounting for timing of emissions and land use (change), should be included as well as proper End-of-Life considerations via a cascading approach. The increased adoption of wood as a clean technology offers a promising environmental performance; particularly, if forests are sustainably managed, wood modifications are non-fossil and non-toxic, and circular strategies are incorporated. To fully realize its potential, it is essential to standardize LCA methodologies which can set an example to support regulatory policies.
Graphical abstract
GLONASS-K2 signal analysis
Authors: Thoelert S. , Steigenberger P. , Montenbruck O. 
Published: June 2024

AbstractK2 is a new generation of GLONASS satellites that provides code division multiple access (CDMA) signals in the L1, L2 and L3 frequency bands in addition to legacy L1 and L2 signals based on frequency division multiple access (FDMA) modulation. The first GLONASS-K2 satellite was launched in August 2023 and started signal transmission in early September 2023. Based on measurements with a 30-m high-gain antenna, spectral characteristics of the various signal components are described and relative power levels are identified. A 3 dB (L1) to 4 dB (L2) higher total power is determined for the CDMA signal compared to the legacy FDMA signal and an equal power of the open service and secured CDMA signal components is found. The ranging code of the L2 channel for service information, which has not been publicly disclosed so far, is identified as a Gold code sequence consistent with the data channel of the L1 open service CDMA signal. The high-gain antenna measurements are complemented by tracking data from terrestrial receivers that enable a first assessment of user performance. An up to 50% improvement in terms of noise and multipath performance is demonstrated for the new L1 and L2 CDMA signals in comparison with their legacy counterpart, but no obvious differences between the different binary phase-shift keying and binary offset carrier modulations of the data and pilot components of these signals could be identified for the test stations. Triple-frequency carrier phase observations from L1, L2, and L3 CDMA signals exhibit good consistency at the noise and multipath level, except for small variations that can be attributed to slightly different antenna phase patterns on the individual frequencies. Overall, the new CDMA signals are expected to notably improve and facilitate precise point positioning applications once fully deployed across the GLONASS constellation.
Using high-resolution UAV imagery and artificial intelligence to detect and map landslide cracks automatically
Authors: Sandric Ionut , Chitu Zenaida , Ilinca Viorel , Irimia Radu 
Published: June 2024

AbstractMapping landslide cracks is essential in understanding landslide dynamics and evolution across space and time. Each landslide crack’s depth, direction, and width are related to the stress and strain imposed on the landslide body. Moreover, their spatial distribution can indicate areas where the landslide can extend, mainly if located in the upper part of the main landslide scarp. Even though the cracks leave a distinct pattern on the landslide body when fresh or when there is a high contrast between the bare soil and surrounding vegetation, these patterns gradually diminish over time, making their detection difficult. The problem of landslide cracks mapping in various environmental conditions and having different ages was tackled in the current study using very high spatial resolution unmanned aerial vehicle (UAV) aerial imagery and derived products in conjunction with deep learning models. U-Net and DeepLab CNN models were applied using masked and non-masked training samples with different tile sizes. As the tile size decreases, the performance metrics, such as precision, recall, and F1-score, generally decrease. Overall, the lowest accuracy was approximately 0.79 for non-mask samples and tile size of 64 pixels, and reached over 0.93 for masked samples and tile size of 512 pixels.
Effects of intercropping on the herbage production of a binary grass-legume mixture (Hedysarum coronarium L. and Lolium multiflorum Lam.) under artificial shade in Mediterranean rainfed conditions
Authors: Tramacere Lorenzo Gabriele , Antichi Daniele , Mele Marcello , Ragaglini Giorgio , Mantino Alberto 
Published: June 2024

AbstractGrowing perennial legumes in the understory layer in agroforestry systems is a strategy to improve the sustainability of agricultural systems, i.e., by increasing land productivity, fostering carbon sequestration and nutrient cycling and reducing reliance on inorganic nitrogen fertilizers for tree crops. In many parts of Central Italy, sulla, a biennial autochthonous legume, is widely adopted in forage cropping systems for its productivity and nutritive value and it is often intercropped with ryegrass for a better utilization as grazed temporary grassland. To evaluate the agronomic performance of these perennial species grown under different levels of light reduction, an artificial shade plot trial was established in the coastal plain of Pisa, Central Italy, with the aim to simulate the effect of tree presence with different levels of shade intensification in rainfed conditions. The experiment layout complies with a 2-way completely randomized design with four replicates. The two factors tested were the forage species (namely sulla, ryegrass and their intercropping) and the level of shade (no shade, moderate shade − 30% light reduction-, and intense shade − 50% light reduction-). Shading significantly reduced the above ground biomass (AGB) production, especially for the intense shading (on average about − 20% with respect to the full sun). The mixture resulted as the most productive crop, yielding on average about + 30 and + 40% AGB in comparison to sulla and ryegrass pure stands, respectively. The findings about the effect of the shading on AGB production showed that mixture was a suitable sward, especially under moderate shading conditions. Further studies are needed with the purpose to investigate the productive performance of these swards in real agroforestry conditions.
Association Between Early Sexual Debut and New HIV Infections Among Adolescents and Young Adults in 11 African Countries
Authors: He Jiawei , Flaxman Abraham , Imai-Eaton Jeffrey W. , Aravkin Aleksandr , Zheng Peng , Sorensen Reed , Mittal Shachi , Kyu Hmwe H. 
Published: June 2024

AbstractWe investigated the association between early sexual debut and HIV infection among adolescents and young adults. Analyzing data from nationally representative Population-Based HIV Impact Assessment (PHIA) surveys in 11 African countries, the research employed a multivariate logistic regression model to assess the relationship between the early sexual debut and new HIV infections in the age group of 10–24 years. The results revealed a significant and robust association, indicating that young individuals who experienced early sexual debut were approximately 2.65 times more likely to contract HIV than those who did not, even after accounting for other variables. These findings align with prior research suggesting that early initiation of sexual activity may increase vulnerability to HIV infection due to factors such as biological susceptibility and risky behaviors like low condom use and multiple sexual partners. The implications of these findings for HIV prevention strategies are substantial, suggesting that interventions aimed at delaying sexual debut could be an effective component in reducing HIV risk for this population. Targeted sex education programs that address the risks of early sexual debut may play a pivotal role in these prevention efforts. By employing a comprehensive approach, there is a possibility to advance efforts towards ending AIDS by 2030.
Enhancing trustworthy deep learning for image classification against evasion attacks: a systematic literature review
Authors: Akhtom Dua’a Mkhiemir , Singh Manmeet Mahinderjit , XinYing Chew 
Published: June 2024

AbstractIn the rapidly evolving field of Deep Learning (DL), the trustworthiness of models is essential for their effective application in critical domains like healthcare and autonomous systems. Trustworthiness in DL encompasses aspects such as reliability, fairness, and transparency, which are crucial for its real-world impact and acceptance. However, the development of trustworthy DL models faces significant challenges. This is notably due to adversarial examples, a sophisticated form of evasion attack in adversarial machine learning (AML), which subtly alter inputs to deceive these models and pose a major threat to their safety and reliability. The current body of research primarily focuses on defensive measures, such as enhancing the robustness of models or implementing explainable AI techniques. However, this approach often neglects to address the fundamental vulnerabilities that adversaries exploit. As a result, the field tends to concentrate more on counteracting measures rather than gaining an in-depth understanding of the vulnerabilities and attack strategies inherent in DL systems. This gap in comprehensive understanding impedes the formulation of effective defense mechanisms. This research aims to shift the focus from predominantly defensive strategies toward a more extensive comprehension of adversarial techniques and the innate vulnerabilities of DL models. We undertake this by conducting a thorough systematic literature review, encompassing 49 diverse studies from the previous decade. Our findings reveal the key characteristics of adversarial examples that enable their success against image classification-based DL models. Building on these insights, we propose the Transferable Pretrained Adversarial Deep Learning framework (TPre-ADL). This conceptual model aims to rectify the deficiencies in current defense strategies by incorporating the analyzed traits of adversarial examples, potentially enhancing the robustness and trustworthiness of DL models.
Pedigree analysis exploring the inconsistency between diverse phenotypes and testing criteria for germline TP53 mutations in Chinese women with breast cancer
Authors: Huang Xin , Chen Chang , Lin Yan , Wang Changjun , Zhou Xingtong , Xu Ying , Sun Qiang , Zhou Yidong 
Published: June 2024

Abstract
Purpose
In the present study, we addressed the inconsistency between the testing criteria and diverse phenotypes for germline TP53 mutation in patients with breast cancer in the Chinese population.

Method
We proposed a new added item (synchronous or metachronous bilateral breast cancer) as one of the testing criteria (aimed at high-penetrance breast cancer susceptibility genes) and applied it for determining TP53 germline mutation status in 420 female patients with breast cancer using multigene panel-based next-generation sequencing, Sanger sequencing, and mass spectrometry.

Results
We found that 1.4% of patients carried a pathogenic or likely pathogenic germline TP53 mutation. Compared with BRCA mutation carriers (8.0%) and non-carriers (7.1%), TP53 mutation carriers (33.3%) developed breast cancer earlier. The majority of TP53 mutation carriers (66.7%) developed breast cancer after age 30 and had bilateral breast cancer (33.3%). Pedigree investigation of four TP53 carriers and a patient with a TP53 variant of unknown significance revealed that neither of their parents harbored the same mutations as the probands, indicating that the mutations might occur de novo.

Conclusion
Our study revealed distinguishing features of TP53 carriers among Chinese women with breast cancer, which is inconsistent with the currently used testing criteria; therefore, the newly proposed testing criteria may be more appropriate.
A Mitochondrial Basis for Heart Failure Progression
Authors: Watson William D. , Arvidsson Per M. , Miller Jack J. J. , Lewis Andrew J. , Rider Oliver J. 
Published: June 2024

AbstractIn health, the human heart is able to match ATP supply and demand perfectly. It requires 6 kg of ATP per day to satisfy demands of external work (mechanical force generation) and internal work (ion movements and basal metabolism). The heart is able to link supply with demand via direct responses to ADP and AMP concentrations but calcium concentrations within myocytes play a key role, signalling both inotropy, chronotropy and matched increases in ATP production. Calcium/calmodulin-dependent protein kinase (CaMKII) is a key adapter to increased workload, facilitating a greater and more rapid calcium concentration change. In the failing heart, this is dysfunctional and ATP supply is impaired. This review aims to examine the mechanisms and pathologies that link increased energy demand to this disrupted situation. We examine the roles of calcium loading, oxidative stress, mitochondrial structural abnormalities and damage-associated molecular patterns.
Reduction of Helicobacter pylori cells in rural water supply using slow sand filtration
Authors: Leyton Javier , Fernández Javier , Acosta Patricia , Quiroga Andrés , Codony Francesc 
Published: June 2024

AbstractHelicobacter pylori is a microorganism that infects 60% of the population and is considered the main cause of atrophic gastritis, gastric and duodenal ulcers, and gastric cancer. Different emerging pathogens have been found in drinking water and their presence is considered to be an important public health problem. For this reason, it is necessary to carry out the validation of reliable technologies for this type of pathogens and evaluate their performance. This paper reports, for the first time, H. pylori reduction in a drinking water pilot plant of two slow sand filters (SSF). Inlet water was taken from a gravel filtration system of a rural water supply in Colombia and then inoculated with viable cells of H. pylori. By determining the Genomic Units (GU) through quantitative Polymerase Chain Reaction (qPCR), the concentration of GU/sample was measured. In the inlet water amplification for SSF1 and SSF2 were 5.13 × 102 ± 4.48 × 102 and 6.59 × 102 ± 7.32 × 102, respectively, while for the treated water they were 7.0 ± 5.6 and 2.05 × 101 ± 2.9 × 101 GU/sample for SSF1 and SSF2, respectively. The SSF pilot plant reached up to 3 log reduction units of H. pylori; therefore, since there is not an H. pylori contamination indicator and its periodic monitoring is financially complicated, the SSF could guarantee the drinking water quality necessity that exists in rural areas and small municipalities in developing countries, where infection rates and prevalence of this pathogen are high.
VaryMinions: leveraging RNNs to identify variants in variability-intensive systems’ logs
Authors: Fortz Sophie , Temple Paul , Devroey Xavier , Heymans Patrick , Perrouin Gilles 
Published: June 2024

AbstractFrom business processes to course management, variability-intensive software systems (VIS) are now ubiquitous. One can configure these systems’ behaviour by activating options, e.g., to derive variants handling building permits across municipalities or implementing different functionalities (quizzes, forums) for a given course. These customisation facilities allow VIS to support distinct relevant customer requirements while taking advantage of reuse for common parts. Customisation thus allows realising both scope and scale economies. Behavioural differences amongst variants manifest themselves in event logs. To re-engineer this kind of system, one must know which variant(s) have produced which behaviour. Since variant information is barely present in logs, this paper supports this task by employing machine learning techniques to classify behaviours (event sequences) among variants. Specifically, we train Long Short Term Memory (LSTMs) and Gated Recurrent Units (GRUs) recurrent neural networks to relate event sequences with the variants they belong to on six different datasets issued from the configurable process and VIS domains. After having evaluated 20 different architectures of LSTM/GRU, our results demonstrate that it is possible to effectively learn the trace-to-variant mapping with high accuracy (at least $$80\%$$

80
%

and up to $$99\%$$

99
%

) and at scale, i.e., identifying 50 variants using 5000+ traces for each variant.