bluuebunny/crossref_metadata_2025_split huggingface dataset:
Tracking of apolipoprotein B levels measured in childhood and adolescence: systematic review and meta-analysis
Authors: Stanesby Oliver , Zhou Zhen , Fonseca Ricardo , Kidokoro Tetsuhiro , Otahal Petr , Fraser Brooklyn J. , Wu Feitong , Juonala Markus , Viikari Jorma S. A. , Raitakari Olli T. , Tomkinson Grant R. , Magnussen Costan G. 
Published: December 2023

AbstractTo quantify the tracking of apolipoprotein B (apoB) levels from childhood and adolescence and compare the tracking of apoB with low-density lipoprotein (LDL) cholesterol, a systematic search of MEDLINE, Embase, Web of Science, and Google Scholar was performed in October 2023 (PROSPERO protocol: CRD42022298663). Cohort studies that measured tracking of apoB from childhood/adolescence (< 19 years) with a minimum follow-up of 1 year, using tracking estimates such as correlation coefficients or tracking coefficients, were eligible. Pooled correlations were estimated using random-effects meta-analysis. Risk of bias was assessed with a review-specific tool. Ten studies of eight unique cohorts involving 4677 participants met the inclusion criteria. Tracking of apoB was observed (pooled r = 0.63; 95% confidence interval [CI] = 0.53–0.71; I2 = 96%) with no significant sources of heterogeneity identified. Data from five cohorts with tracking data for both lipids showed the degree of tracking was similar for apoB (pooled r = 0.59; 95% CI = 0.55–0.63) and LDL cholesterol (pooled r = 0.58; 95% CI = 0.47–0.68). Study risk of bias was moderate, mostly due to attrition and insufficient reporting.Conclusion: ApoB levels track strongly from childhood, but do not surpass LDL cholesterol in this regard. While there is strong evidence that apoB is more effective at predicting ASCVD risk than LDL cholesterol in adults, there is currently insufficient evidence to support its increased utility in pediatric settings. This also applies to tracking data, where more comprehensive data are required.

What is known:• Apolipoprotein B is a known cause of atherosclerotic cardiovascular disease.• Apolipoprotein B levels are not typically measured in pediatric settings, where low-density lipoprotein cholesterol remains the primary lipid screening measure.

What is new:• This meta-analysis of 10 studies showed apolipoprotein B levels tracked strongly from childhood but did not exceed low-density lipoprotein cholesterol in this regard.• More comprehensive tracking data are needed to provide sufficient evidence for increased utility of apolipoprotein B in pediatric settings.
Various Color Light Emission from Single, Double, and Triple Eu3+/Tb3+/Tm3+ Doped Borate Glass Excited by UV Light
Authors: Kashif Ismail , Ratep Asmaa 
Published: December 2023

Abstract
Lithium-aluminum-borate glasses doped with single, double, or triple Tm3+, Tb3+, or Eu3+ ions, respectively, at several concentrations were prepared. Structural characterization was performed using optical absorption and luminescence spectroscopy. The transition for the rare earth ions under study was observed in optical absorption and some for-host glass at wavelengths less than 300 nm. The luminescence of Eu3+, Tb3+, and Tm3+ is presented as bright red, green, and blue emissions, respectively. White light was produced by adjusting the excitation wavelength and doping concentration of Tm2O3, Eu2O3, and Tb4O7. The sample doped with triple rare earth ions produced color emissions from Tb and Tm to Eu, which varied in hue based on the excitation wavelengths of 350, 360, and 370 nm. The glass samples under investigation may be promising for optoelectronic devices and security applications such as data encryption.
An efficient deep neural network channel state estimator for OFDM wireless systems
Authors: Hassan Hassan A. , Mohamed Mohamed A. , Shaaban Mohamed N. , Ali Mohamed Hassan Essai , Omer Osama A. 
Published: December 2023

AbstractChannel state estimation (CSE) is essential for orthogonal frequency division multiplexing (OFDM) wireless systems to deal with multipath channel fading. To attain a high data rate with the use of OFDM technology, an efficient CSE and accurate signal detection are required. The use of machine learning (ML) to improve channel estimates has attracted a lot of attention lately. This is because ML techniques are more adaptable than traditional model-based estimation techniques. The present study proposes a receiver for low-spectrum usage in OFDM wireless systems on Rayleigh fading channels using deep learning (DL) long short-term memory (LSTM). Before online deployment and data retrieval, the proposed DL LSTM estimator gathers channel state information from transmit/receive pairs using offline training. Based on the simulation results of a comparative study, the proposed estimator outperforms conventional channel estimation approaches like minimum mean square error and least squares in noisy and interfering wireless channels. Furthermore, the proposed estimator outperforms the DL bidirectional LSTM (BiLSTM)-based CSE model. In particular, the proposed CSE performs better than other examined estimators with a reduced number of pilots, no cycle prefixes, and no prior knowledge of channel statistics. Because the proposed estimator relies on a DL neural network approach, it holds promise for OFDM wireless communication systems.
Evaluating metrics for quantifying the climate-change effects of land-based carbon fluxes
Authors: Brandão Miguel , Kirschbaum Miko U. F. , Cowie Annette L. 
Published: December 2023

Abstract
Purpose
Growing concern over climate change has increased interest in making use of the biosphere to reduce net greenhouse gas emissions by replacing fossil energy with bioenergy or increasing land-based carbon storage. An assessment of the effectiveness of these options requires detailed quantification of their climate-change mitigation potential, which must employ appropriate metrics to translate biophysical changes into climate-change impacts. However, the various currently available metrics use different proxy measures (e.g. radiative forcing, temperature changes, or others) as surrogates for climate-change impacts. Use of these different proxies can lead to contradictory conclusions on the most suitable policy options. We aim to provide criteria for the objective evaluation of metrics to build understanding of the significance of choice of metric and as a step towards building consensus on the most appropriate metric to use in different contexts.

Methods
We compared fifteen available metrics that represent conceptual differences in the treatment of biospheric carbon fluxes and the proxies used to approximate climate-change impacts. We proposed a set of evaluation criteria related to the metrics’ relevance, comprehensiveness, ease of application and acceptance by the research and policy community. We then compared the different metrics against these criteria.

Results and conclusions
The different metrics obtained scores from 10 to 21 (out of 30). The Climate-Change Impact Potential scored highest against the criteria, largely because it relates climate-change impacts to three different aspects of temperature changes; thus, it most comprehensively covers the different aspects of climate-change impacts. Therefore, according to our evaluation criteria, it would be the most suitable metric for assessing the effect of different policy options on marginal climate-change impacts. We demonstrated that the proposed evaluation criteria successfully differentiated between the fifteen metrics and could be used as a basis for selecting the most appropriate metric for specific applications.
Altered functional brain networks in problematic smartphone and social media use: resting-state fMRI study
Authors: Áfra Eszter , Janszky József , Perlaki Gábor , Orsi Gergely , Nagy Szilvia Anett , Arató Ákos , Szente Anna , Alhour Husamalddin Ali Mohammad , Kis-Jakab Gréta , Darnai Gergely 
Published: December 2023

AbstractNowadays, the limitless availability to the World Wide Web can lead to general Internet misuse and dependence. Currently, smartphone and social media use belong to the most prevalent Internet-related behavioral addiction forms. However, the neurobiological background of these Internet-related behavioral addictions is not sufficiently explored. In this study, these addiction forms were assessed with self-reported questionnaires. Resting-state functional magnetic resonance imaging was acquired for all participants (n = 59, 29 males) to examine functional brain networks. The resting-state networks that were discovered using independent component analysis were analyzed to estimate within network differences. Significant negative associations with social media addiction and smartphone addiction were found in the language network, the lateral visual networks, the auditory network, the sensorimotor network, the executive network and the frontoparietal network. These results suggest that problematic smartphone and social media use are associated with sensory processing and higher cognitive functioning.
Emerging treatment strategies in chronic B-cell malignancies—News from ICML 2023
Authors: Bohn Jan-Paul 
Published: December 2023

SummaryImplementation of targeted drugs in the treatment landscape of indolent B‑cell malignancies has facilitated long-term remissions and reduced treatment-related toxicities for a substantial proportion of patients across several disease entities. Yet, adverse prognostic genetic aberrations such as TP53 dysfunctions and short-lived remissions after front-line therapy cannot be fully compensated with currently licensed novel agents thereby predisposing affected patients to inferior clinical outcomes in the long run. Moreover, acquired resistance and increasing drug intolerability typically evolving with continuous treatment remain challenges to overcome in daily clinical practice. With these unmet medical needs in mind, several clinical trials are currently investigating the efficacy and feasibility of time-limited novel drug combinations across several indolent B‑cell malignancies. This short review aims to give an update on novel clinical trial data presented at the International Conference of Malignant Lymphoma 2023.
Demokratiezufriedenheit und Institutionenvertrauen in Baden-Württemberg
Authors: Vetter Angelika , Brettschneider Frank 
Published: December 2023

ZusammenfassungIn Baden-Württemberg sind vor allem jene Menschen mit dem Funktionieren der Demokratie zufrieden, die die Wirtschaftslage positiv einschätzen, die das Gefühl haben, dass sich Politik responsiv verhält, und die einer Regierungspartei zuneigen. Sie vertrauen auch politischen Institutionen eher. Ferner stärkt dialogische Bürgerbeteiligung sowohl die Demokratiezufriedenheit als auch das Institutionenvertrauen von Menschen. Allerdings nicht immer. Vor allem die Zufriedenheit mit dem Beteiligungsverfahren ist wichtig. Erst danach spielt die Zufriedenheit mit dem Ergebnis der Beteiligung eine Rolle. Auch bei Menschen, die nicht einer der Regierungsparteien zuneigen, stärkt dialogische Beteiligung die Demokratiezufriedenheit und das Vertrauen. Allerdings: Bewerten Teilnehmende an Bürgerbeteiligung sowohl das Verfahren als auch das Ergebnis negativ, dann sind ihre Demokratiezufriedenheit und ihr Institutionenvertrauen sogar geringer als bei jenen, die nicht an Bürgerbeteiligung teilgenommen haben. Diesen Analysen liegen repräsentative Umfragen aus den Jahren 2021 und 2022 in Baden-Württemberg zugrunde.
Raw Materials Used in Traditional Pottery from Northern Morocco: Possible Alternative Material for a Sustainable Future in the Fran Ali Area
Authors: Hilali Fatima , El Kharim Younes , Hilali Hasnaa , Bounab Ali , El Idrissi Hicham , Draoui Khalid , El Hadri Mustapha , Ahniche Mohamed 
Published: December 2023

AbstractThe colluvium and saprolite deposits in the Fran Ali area (Oued Laou, northern Morocco) constitute the main source of raw materials used in traditional pottery. These materials are becoming scarce, however, so alternative materials with the same characteristics are needed; this would ensure the sustainability of pottery activities in the area. The objective of the present study was to examine ten representative samples of clayey materials extracted from the Fran Ali area, i.e. the Ikhadimene, Dar Haddoune, Ihadounene, Aqqbat Ajjoua, and Isalahene sites. The geological materials consist mainly of grayish to brownish phyllites, thin layers of yellowish clay, thicker intervals of reddish-yellow soils ranging in depth from 1 to 4 m, and reddish colluvium soils. The physical properties of these materials were determined using semi-wet sieving and Atterberg limit tests, while chemical, mineralogical, and thermal properties were obtained from the methylene blue test (MBT), the calcimetry test, X-ray fluorescence spectrometry (XRF), X-ray diffraction (XRD), and thermogravimetric and differential thermal (TGA/DTGA) analysis. The results suggest that the soils contain 21–35% clay, 28–34% silt, and 37–52% sand. They are moderately plastic, with methylene blue adsorption capacities ranging from 3 to 7% and minimal CaCO3 carbonate contents (1–4%). Samples are dominated by SiO2 (51–57%), Al2O3 (17–21%), and Fe2O3 (8–10%). Mineralogically, they are composed of illite (19–27%), chlorite (0–22%), kaolinite (5–9%), and quartz (29–32%). Thermal analysis showed a relatively large mass loss of ~10%. The samples are deemed to be moderately plastic. The results indicate that this raw material is acceptable for pottery fabrication, given the small proportion of irregular interlayer content and its average geotechnical properties. In addition, extraction of the colluvium material is not sustainable because of the relative scarcity of the material. Given the mineralogical similarity between the weathered layers (colluvium) and their parent rock (shales), the present results suggest that the latter is a suitable alternative to the former.
The United States facing allies’ populist blackmail: Why the Philippines and Turkey threatened to realign with China and Russia
Authors: Paquin Jonathan 
Published: December 2023

AbstractGiven China and Russia’s increasingly aggressive behaviour, balance of threat theory posits that formal US allies should close ranks behind the United States. The literature on alliance politics reinforces this logic by showing that alliances deter aggression and reduce the occurrence of war. Recent developments, however, have somewhat undermined these claims, as the president of the Philippines, Rodrigo Duterte, and the president of Turkey, Recep Tayyip Erdogan, publicly threatened to break ranks with Washington and to realign with China and Russia respectively. How can we make sense of such defiant behaviour? This article argues that populist blackmail elucidates this phenomenon and compares it to three alternative propositions: conventional bandwagoning, bandwagoning for profit, and hard hedging. Based on empirical evidence, the article reveals that the provocative statements of Duterte and Erdogan were not a genuine push for realignment with Beijing and Moscow, but rather political strategies designed to enhance their bargaining power with Washington in the hopes of securing certain concessions, while simultaneously galvanising domestic support to justify their raison d’être and to secure their hold on power. Furthermore, the article infers that two concomitant factors – political grievances and the perceived lack of security assurance – propelled both presidents to resort to blackmail.
In vitro modeling of the human dopaminergic system using spatially arranged ventral midbrain–striatum–cortex assembloids
Authors: Reumann Daniel , Krauditsch Christian , Novatchkova Maria , Sozzi Edoardo , Wong Sakurako Nagumo , Zabolocki Michael , Priouret Marthe , Doleschall Balint , Ritzau-Reid Kaja I. , Piber Marielle , Morassut Ilaria , Fieseler Charles , Fiorenzano Alessandro , Stevens Molly M. , Zimmer Manuel , Bardy Cedric , Parmar Malin , Knoblich Jürgen A. 
Published: December 2023

AbstractVentral midbrain dopaminergic neurons project to the striatum as well as the cortex and are involved in movement control and reward-related cognition. In Parkinson’s disease, nigrostriatal midbrain dopaminergic neurons degenerate and cause typical Parkinson’s disease motor-related impairments, while the dysfunction of mesocorticolimbic midbrain dopaminergic neurons is implicated in addiction and neuropsychiatric disorders. Study of the development and selective neurodegeneration of the human dopaminergic system, however, has been limited due to the lack of an appropriate model and access to human material. Here, we have developed a human in vitro model that recapitulates key aspects of dopaminergic innervation of the striatum and cortex. These spatially arranged ventral midbrain–striatum–cortical organoids (MISCOs) can be used to study dopaminergic neuron maturation, innervation and function with implications for cell therapy and addiction research. We detail protocols for growing ventral midbrain, striatal and cortical organoids and describe how they fuse in a linear manner when placed in custom embedding molds. We report the formation of functional long-range dopaminergic connections to striatal and cortical tissues in MISCOs, and show that injected, ventral midbrain-patterned progenitors can mature and innervate the tissue. Using these assembloids, we examine dopaminergic circuit perturbations and show that chronic cocaine treatment causes long-lasting morphological, functional and transcriptional changes that persist upon drug withdrawal. Thus, our method opens new avenues to investigate human dopaminergic cell transplantation and circuitry reconstruction as well as the effect of drugs on the human dopaminergic system.
Improved ergonomic layout design of metro control center based on virtual simulation technology and genetic algorithm
Authors: Qiu Hanzhao , Fang Weining , Wang Jianxin , Chen Yueyuan 
Published: December 2023

AbstractFor the existing control center layout methods do not have targeted measures to implement human factors requirements, this paper puts forward a specific human factors design method for metro control center layout. This method covers the overall process of ergonomic standards and actual engineering requirements in personal space determination, overall location design, and personnel post layout. It introduces discrete personnel simulation to assist in physical control center layout design for the controllers’ safety. To make the posts between the unified lines and the connections between the lines more reasonable, an improved genetic algorithm is used to solve the Systematic Layout Planning. This design flow and algorithm can be quickly adapted according to the project's actual needs and the application of human factors guidelines. This method is also suitable for the layout planning and design of similar large spaces, large numbers of people, and complex associated control centers.
Fe3+ and Al3+ removal by phosphate and hydroxide precipitation from synthetic NMC Li-ion battery leach solution
Authors: Chernyaev Alexander , Zhang Jianxin , Seisko Sipi , Louhi-Kultanen Marjatta , Lundström Mari 
Published: December 2023

AbstractThe removal of trivalent iron and aluminum was studied from synthetic Li-ion battery leach solution by phosphate and hydroxide precipitation (pH 2.5–4.25, t = 3 h, T = 60 °C). Phosphate precipitation exhibited both crystal nucleation initiation (pH 2 vs. pH 3) as well as complete (~ 99%) Fe and Al removal at lower pH compared to hydroxide precipitation (pH 3 vs. 3.5). The precipitation time of phosphate was shorter (40 min) than that of hydroxide precipitation (80 min). At pH 4 the loss of valuable metals (Li, Ni, Co) in the precipitate was negligible in the phosphate cake, whereas in the hydroxide process the co-precipitation was 4–5% for Li, Ni and Co. The filtration rate of phosphate precipitate was shown to be significantly faster. The presence of fluoride did not have any notable effect on phosphate precipitation, whereas in hydroxide precipitation, it potentially had a negative effect on aluminum extraction.
Integrated analysis identities Rho GTPases related molecular map in patients with gastric carcinoma
Authors: Ma Shaowei , Wang Ying , Li Weibo , Qiu Shaofan , Zhang Xiangyu , Niu Ren , Zhao Fangchao , Zheng Yu 
Published: December 2023

AbstractThe intricate involvement of Rho GTPases in a multitude of human malignancies and their diverse array of biological functions has garnered substantial attention within the scientific community. However, their expression pattern and potential role in gastric cancer (GC) remain unclear. In this study, we successfully identified two distinct subtypes associated with Rho GTPase-related gene (RGG) through consensus clustering analysis, which exhibited significant disparities in overall survival and the tumor microenvironment. Subsequently, an extensively validated risk model termed RGGscore was meticulously constructed to prognosticate the outcomes of GC patients. This model was further assessed and validated using an external cohort. Notably, the high RGGscore group was indicative of a poorer prognosis. Univariate and multivariate Cox regression analyses unveiled the RGGscore as an autonomous prognostic indicator for GC patients. Subsequent external validation, utilizing two cohorts of patients who underwent immunotherapy, demonstrated a significant correlation between a low RGGscore and improved response to immunotherapy. Additionally, the expression levels of three genes associated with RGGscore were examined using qRT-PCR. Taken together, a pioneering RGGscore model has been successfully established, showcasing its potential efficacy in offering valuable therapeutic guidance for GC.