bluuebunny/crossref_metadata_2025_split huggingface dataset:
The future of baby cosmetics packaging and sustainable development: A look at sustainable materials and packaging innovations – A systematic review
Authors: Vrabič‐Brodnjak Urška , Jestratijević Iva 
Published: October 2023

AbstractPackaging waste's ecological impact, stemming from resource depletion, plastic pollution, and climate concerns, is prompting environmental worries. Within the baby cosmetics domain, management task involves balancing safety, hygiene standards, consumer preferences, and regulations, all while adopting eco‐friendly packaging. This study presents a holistic global assessment of sustainable packaging options tailored for the baby cosmetics sector. By employing a systematic methodology encompassing planning using Python programming, data evaluation, analysis, and synthesis, the investigation scrutinized packaging claims from 2048 brands, including 76 specializing in baby cosmetics. Findings reveal that while 39% of brands omit packaging material details, 61% embrace recyclable, refillable, or bio‐based alternatives. This shift underscores a growing sustainability inclination, though undisclosed packaging materials indicate transparency gaps, urging enhanced regulations. Remarkably, only 14 baby cosmetic brands among those studied incorporate diverse certifications and standards. This study's novelty lies in its exhaustive analysis of sustainable packaging solutions tailored for the baby cosmetics sector. It highlights the pressing need for cosmetic companies to adopt sustainable packaging, ensure transparency, and collaborate industry‐wide to ensure a sustainable future for baby cosmetic packaging.
Combination and SLR validation of IGS Repro3 orbits for ITRF2020
Authors: Zajdel Radosław , Masoumi Salim , Sośnica Krzysztof , Gałdyn Filip , Strugarek Dariusz , Bury Grzegorz 
Published: October 2023

AbstractIn preparation for the International Terrestrial Reference Frame 2020, the International GNSS Service analysis centers released the results of the third reprocessing campaign (IGS Repro 3) of all the GNSS network solutions backwards starting from 1994. For the first time, the IGS reprocessing products included not just GPS and GLONASS, but also the Galileo constellation. In this study, we describe the methodology and results of the orbit combination provided by the IGS Analysis Center Coordinator (IGS ACC) at Geoscience Australia. The quality of the combined orbit products was cross-checked with the individual IGS Repro3 Analysis Center (AC) contributions. The internal consistency of the individual Analysis Center (AC) solutions with the combined orbits was assessed based on the root mean square of the 3D orbit differences. In 2020, the mean consistency of the combination is at the level of 9, 23, and 15 mm for GPS, GLONASS, and Galileo, respectively. The external validation of the orbits was performed using Satellite Laser Ranging (SLR). We proposed a novel approach to handling detector-specific biases in the results of SLR validation, which reduced the standard deviation of SLR residuals by up to 13% for Galileo FOC satellites. This method is based on bias aligning the offsets to single-photon SLR stations that were treated as a reference. The proposed approach increased the internal consistency of the SLR dataset, facilitating the detection of orbit modeling issues. The standard deviation of SLR residuals of the best individual solution versus the combined solution equals 13/13, 15/17, 17/17, 18/19 mm for Galileo-FOC, -IOV, GLONASS-K1B, -M, respectively. Therefore, the combined solution can be considered equal in quality compared to the best individual AC solutions. Searching for patterns in SLR residuals for different satellite-Sun-Earth geometries revealed that some orbit modeling issues are not fully diminished for individual ACs. Eventually, our findings suggest that the delivered combined orbit product may be considered the best solution overall, as it benefits from the best individual solutions for each satellite type.
A computational study of two promising tweezers
Authors: Sayaheen Mohammad , Otero Nicolás , Peña-Gallego Angeles 
Published: October 2023

AbstractA DFT study was carried out to explore the properties of two nonplanar π-conjugated systems that share dibenzo[a,e]-cyclooctatetraene (DBCOT) as a fundamental element. These systems were presented as molecules with potential use as tweezers and in optoelectronic applications due to their expected nonlinear optical effects. Structure optimizations, TD-DFT calculations, molecular orbitals and topological analysis were performed for C36N2H18O4 and C26H18 structures, formed by one and two 1,3,5,7-cyclooctatetraene rings, respectively, with and without the Na cation. This alkali cation was used as a model to investigate the potential of these molecules as tweezers. The results show a V-shaped structure as a minimum in the ground state for both molecules. This angular structure can trap the Na cation very effectively, especially for one of the cases. In addition, the present analysis opens new studies to explore the use of these systems as tweezers of other cations, anions or aromatic molecules that may exhibit π-stacking. The analysis of the molecular orbitals involved in the main electronic transitions allows us to propose that these systems will have interesting optical properties.
Sok: vector OLE-based zero-knowledge protocols
Authors: Baum Carsten , Dittmer Samuel , Scholl Peter , Wang Xiao 
Published: October 2023

AbstractA zero-knowledge proof is a cryptographic protocol where a prover can convince a verifier that a statement is true, without revealing any further information except for the truth of the statement. This article is a survey of recent developments in building practical zero-knowledge proof systems using vector oblivious linear evaluation (VOLE), a tool from secure two-party computation. In this work, we attempt to systematize the recent works on VOLE-based Zero-Knowledge proofs and make the state of the art accessible in one document.
Relative performance evaluation of machine learning algorithms for land use classification using multispectral moderate resolution data
Authors: Ramachandra T. V. , Mondal Tulika , Setturu Bharath 
Published: October 2023

AbstractAnalyses of spatial and temporal patterns of land use and land cover through multi-resolution remote sensing data provide valuable insights into landscape dynamics. Land use changes leading to land degradation and deforestation have been a prime mover for changes in the climate. This necessitates accurately assessing land use dynamics using a machine-learning algorithm’s temporal remote sensing data. The current study investigates land use using the temporal Landsat data from 1973 to 2021 in Chikamagaluru district, Karnataka. The land cover analysis showed 2.77% decrease in vegetation cover. The performance of three supervised learning techniques, namely Random Forest (RF), Support Vector Machine (SVM), and Maximum Likelihood classifier (MLC) were assessed, and results reveal that RF has performed better with an overall accuracy of 90.22% and a kappa value of 0.85. Land use classification has been performed with supervised machine learning classifier Random Forest (RF), which showed a decrease in the forest cover (48.91%) with an increase of agriculture (6.13%), horticulture (43.14%) and built-up cover (2.10%). Forests have been shrinking due to anthropogenic forces, especially forest encroachment for agriculture and industrial development, resulting in forest fragmentation and habitat loss. The fragmentation analysis provided the structural change in the forest cover, where interior forest cover was lost by 27.67% from 1973 to 2021, which highlights intense anthropogenic pressure even in the core Western Ghats regions with dense forests. Temporal details of the extent and condition of land use form an information base for decision-makers.
Water storages in Tana-Beles sub-basin of Ethiopia: what do we know, and where should we go?
Authors: Assefa Tewodros T. , Taye Meron Teferi , Ebrahim Girma Yimer , Lautze Jonathan , Seid Abdulkarim Hussein 
Published: October 2023

AbstractThe Tana-Beles sub-basin, a strategic economic growth corridor in Ethiopia, relies on water storage to provide a suite of key services to agriculture, drinking water supply, energy, and ecosystems. While there are a range of storage options (e.g., from large dams to subsurface aquifers) that can be utilized to provide these services, a systematic stock-take of literature on water storage in the Tana-Beles has not been undertaken. This knowledge gap constrains the identification of the relative contribution of different storage types in the Tana-Beles. Accordingly, in this study, we conducted a systematic review of literature on the surface and sub-surface storages to examine key issues of the different storage types and their linkages in the Tana-Beles sub-basin. Peer-reviewed and grey publications from various databases were considered for the systematic review. The results indicate that literature in the Tana-Beles sub-basin is more focused on natural storage like wetlands and Lake Tana than built storage types like human-made reservoirs. Overall, the analysis revealed three key points. First, storage volume and water quality in those storages are declining. Second, the causal factors for storage loss and water quality deterioration are agricultural expansion, land degradation, sedimentation, and increasing water withdrawals. Third, the storage gap will increase because of climate change, population, and economic growth while current management options are fragmented. Therefore, the need for more integrated nexus approaches is paramount to optimize storage resources in water, food, energy, and ecosystems in light of population-driven growth in demand and the ongoing global climate crisis.
The interference of negative emotional stimuli on semantic vigilance performance in a dual-task setting
Authors: Zsidó András N. , Matuz András , Julia Basler , Darnai Gergely , Csathó Árpád 
Published: October 2023

AbstractA large body of previous research has shown that emotional stimuli have an advantage in a wide variety of cognitive processes. This was mainly observed in visual search and working memory tasks. Emotionally charged objects draw and hold attention, are remembered better, and interfere more with the completion of the primary task than neutral ones. Therefore, it seems reasonable to assume that emotional stimuli also greatly affect sustained attention and vigilance decrement. In the present research, we investigated whether emotional stimuli demand more attentional resources than neutral ones in a dual-task paradigm. We adopted the abbreviated semantic discrimination vigilance task and measured participants’ (N = 49) performance in a single-task and two dual-task settings. In the dual-task conditions, the visual semantic vigilance paradigm was combined with an auditory word recall task (with neutral or emotional stimuli). We found reduced vigilance and improved word recall performance in the emotional dual-task condition compared to the neutral dual-task and single-task conditions. The reduced performance was apparent throughout the task, while in the neutral conditions, participants’ performance first increased and then dropped as time progressed. To conclude, our results indicate that emotional stimuli not only have an advantage in cognitive processing but also demand more attentional resources continuously while it is present compared to neutral stimuli. These results are consistent with the emotionality effect theory and evolutionary accounts of the neural circuits underlying motivated behaviors associated with critical survival needs.
Overall assessment of patients with type 1 Gaucher disease: a single-centre’s experience
Authors: Dursun Huseyin , Yildizhan Esra , Bayram Fahri 
Published: October 2023

Abstract
Purpose
To evaluate the demographic and clinical data of patients with type 1 Gaucher disease, a rare disease, at a single centre.

Methods
The data of patients with type 1 Gaucher disease who were followed up at the Endocrinology Department of Erciyes University’s Medical Faculty Hospital between 2019 and 2021 were evaluated.

Results
We evaluated 13 patients with type 1 Gaucher disease who were diagnosed or followed up at our centre and whose data could be accessed. Four of the patients were male, and nine were female. The mean age at the time of diagnosis was 33 (± 11.32) years. Hepatomegaly was present in 11 of the 13 patients. Eight of the 13 patients had splenomegaly. Three patients had undergone splenectomy. The liver and spleen dimensions of two patients were normal. The platelet count was normal in three of the 10 patients without a history of undergoing splenectomy. Bone densitometry revealed that six patients had a lumbar z-score of ≤  − 2.5. Five patients had a score between − 1 and − 2.5, and two patients had a normal z-score. The mean treatment duration was 36 (± 19.46) months. All our patients were administered enzyme replacement therapy.

Conclusion
Gaucher disease is a rare lysosomal storage disease that affects many systems. It causes irreversible morbidity in patients in whom diagnosis is delayed. The main treatment modality was enzyme replacement therapy. Because it is a rare and multisystemic disease, patients should be followed up at centres with experience in treating Gaucher disease.
Validating the role of PTGIS gene in colorectal cancer by bioinformatics analysis and in vitro experiments
Authors: Ding Hui , Wang Kai-yun , Chen Si-yang , Guo Kai-Wen , Qiu Wen-hong 
Published: October 2023

AbstractProstaglandin I2 synthase (PTGIS) is a member of the cytochrome P450 family. Studies have revealed that differential expression of the PTGIS gene is closely related to the pathological and physiological processes of many diseases, including breast cancer, oral squamous cell carcinoma, and head and neck cancer. However, the mechanism of action of the PTGIS gene in colorectal cancer is not fully understood. This study explored the role of PTGIS in colorectal cancer through comprehensive bioinformatics analysis and in vitro experiments, and found that the expression of PTGIS gene in colorectal cancer tissue was significantly lower than that in normal colorectal tissue (P < 0.05), and high expression of PTGIS gene was associated with poor prognosis in patients (P < 0.05). The KEGG results showed that PTGIS-related genes were mainly enriched in metabolic pathways, arachidonic acid metabolism, steroid biosynthesis, and cancer pathways. The expression of PTGIS may be related to immune infiltration. Cell experiments showed that PTGIS was expressed at a lower level in cancer. Overexpression of PTGIS inhibited apoptosis and promoted proliferation, invasion, and migration ability of SW480 colorectal cancer cells. Analysis of the PTGIS gene in this study provides a theoretical basis for further exploring the pathogenesis of colorectal cancer and finding more accurate new targets for early screening and treatment of the cancer.
Multi-model sequential analysis of MRI data for microstructure prediction in heterogeneous tissue
Authors: Enríquez-Mier-y-Terán Francisco E. , Chatterjee Aritrick , Antic Tatjana , Oto Aytekin , Karczmar Gregory , Bourne Roger 
Published: October 2023

AbstractWe propose a general method for combining multiple models to predict tissue microstructure, with an exemplar using in vivo diffusion-relaxation MRI data. The proposed method obviates the need to select a single ’optimum’ structure model for data analysis in heterogeneous tissues where the best model varies according to local environment. We break signal interpretation into a three-stage sequence: (1) application of multiple semi-phenomenological models to predict the physical properties of tissue water pools contributing to the observed signal; (2) from each Stage-1 semi-phenomenological model, application of a tissue microstructure model to predict the relative volumes of tissue structure components that make up each water pool; and (3) aggregation of the predictions of tissue structure, with weightings based on model likelihood and fractional volumes of the water pools from Stage-1. The multiple model approach is expected to reduce prediction variance in tissue regions where a complex model is overparameterised, and bias where a model is underparameterised. The separation of signal characterisation (Stage-1) from biological assignment (Stage-2) enables alternative biological interpretations of the observed physical properties of the system, by application of different tissue structure models. The proposed method is exemplified with human prostate diffusion-relaxation MRI data, but has potential application to a wide range of analyses where a single model may not be optimal throughout the sampled domain.
Comparative chloroplast genome analysis of four Polygonatum species insights into DNA barcoding, evolution, and phylogeny
Authors: Yan Meixiu , Dong Shujie , Gong Qiuyi , Xu Qin , Ge Yuqing 
Published: October 2023

AbstractThe Polygonatum genus represents a perennial herb with the Liliaceae family, boasting substantial economic and medicinal significance. The majority of Polygonatum plants exhibit notable similarity while lacking distinctive identifying characteristics, thus resulting in the proliferation of adulterated medicinal materials within the market. Within this study, we conducted an in-depth analysis of the complete chloroplast (cp) genomes of four Polygonatum plants and compared them with four closely akin species. The primary objectives were to unveil structural variations, species divergence, and the phylogenetic interrelations among taxa. The cp genomes of the four Polygonatum species were typified by a conventional quadripartite structure, incorporating a large single copy region (LSC), a small single copy region (SSC), and a pair of inverted repeat regions. In total, we annotated a range of 131 to 133 genes, encompassing 84 to 86 protein-coding genes, 38 transfer RNA (tRNA) genes, 8 ribosomal RNA (rRNA) genes, and 0 to 2 pseudogenes (ycf1, infA). Our comparative analyses unequivocally revealed a remarkable consistency in gene order and GC content within the Polygonatum genus. Furthermore, we predicted a potential 59 to 64 RNA editing sites distributed across 22 protein-coding genes, with the ndhB gene exhibiting the most prominent propensity for RNA editing sites, boasting a tally of 15 sites. Notably, six regions of substantial potential variability were ascertained, characterized by elevated Pi values. Noteworthy, molecular markers for species identification, population genetic scrutiny, and phylogenetic investigations within the genus were identified in the form of the psaJ-rpl33 and trnS + trnT-psaD barcodes. The resultant phylogenetic tree unequivocally depicted the formation of a monophyletic clade comprising species within the evolutionary framework of Liliaceae, demonstrating closer evolutionary affinities with Maianthemum, Dracaeneae, and Asparageae. This comprehensive compendium of findings collectively contributes to the advancement of molecular species identification, elucidation of phylogenetic interrelationships, and the establishment of DNA barcodes tailored to the Polygonatum species.
Characteristics of FXa-storing platelets in hemophilia B mice and the influence of alcohol on the platelets
Authors: Han Wenwen , Huang Rui , Li Binbin , Liu Lu , Xu Wenjue , Zhang Guowei 
Published: October 2023

AbstractPlatelet-stored activated blood coagulation factor X (FXa) has great potential in the gene therapy of hemophilia B (HB). However, we still need to understand more about the properties of FXa-storing platelets and how dietary factors affect them. We created transgenic mice called 2bFXa-HB, which had stable expression and storage of FXa in their platelets, resulting in the alleviation of the bleeding disorder in these mice. Even after inducing anti-factor IX (FIX) inhibitors in 2bFXa-HB mice, the hemorrhage phenotype could still be rescued by the expression of FXa. The activation capacity of 2bFXa-HB platelets remained unchanged, and there were no signs of elevated thrombotic risk in these mice. In an acute alcohol exposure mouse model, a single administration of alcohol reduced both the number of platelets and their activation capacity, as well as impaired coagulation function. However, it did not increase the markers of thrombotic risk in either 2bFXa-HB or HB mice. These results suggest that FXa storage in platelets is safe and effective for treatment of HB, but alcohol could impair the therapeutic effect of FXa-containing platelets.
Optimal design of impeller for self-priming pump based on orthogonal method
Authors: Zhang Yu-Liang , Zhang Kai-Yuan , Zhu Zu-Chao 
Published: October 2023

AbstractIn order to improve the efficiency of the self-priming pump in the outdoor emergency rescue mobile pump truck, this paper took the key energy conversion component-impeller as the target and used the orthogonal experimental design method to optimize its hydraulic performance. Firstly the numerical calculations were compared with the experimental results to confirm the reliability of the calculation method. Then, L9 (34) orthogonal design was applied to investigate the influence of the impeller diameter, the blade outlet width, the blade wrap angle and the number of blades on the hydraulic performance of the self-priming pump. Through range analysis, the order of influence of each influencing factor on the head and efficiency of the self-priming pump was determined, and finally obtained the optimal parameter combination scheme. The results show that the optimized self-priming pump exceeds the head of the prototype pump at all flow conditions, and the efficiency curve at high flow conditions is significantly improved and has a wide high efficiency zone.
Association between stress-related disorders and the risk of dementia using the Korean National Sample Cohort: a matched cohort study
Authors: Kim Hyunkyu , Park Yu Shin , Kim Seung Hoon , Hurh Kyungduk , Kim Jinhyun , Park Eun-Cheol , Jang Sung-In 
Published: October 2023

AbstractPost-traumatic stress disorder (PTSD) is associated with the development of dementia; however, the association of dementia risk with overall stress-related disorders is less known. This study investigated the association between stress-related disorders and the risk of dementia in a Korean nationwide sample cohort. The data analyzed in this study were acquired from the Korean National Health Insurance Service National Sample Cohort between 2002 and 2013. Using a 1:3 propensity score matching, 8906 patients with stress-related disorders and 26,718 control participants were included in the analysis. Patients with stress-related disorders had a higher risk of developing dementia after adjusting for covariates (hazard ratio [HR] = 1.15; 95% confidence interval [CI] 1.01–1.30) than control participants. Patients with PTSD showed the highest risk of increase (HR = 1.78) than those with other types of stress-related disorders. Patients with stress-related disorders showed the highest and significantly increased risk for Alzheimer’s dementia (HR = 1.22, 95% CI 1.04–1.56). These results indicated an association between a history of stress-related disorders and the risk of dementia in the South Korean population. Further research investigating the causal mechanisms is needed.