bluuebunny/crossref_metadata_2025_split huggingface dataset:
LiDAR odometry survey: recent advancements and remaining challenges
Authors: Lee Dongjae , Jung Minwoo , Yang Wooseong , Kim Ayoung 
Published: February 2024

AbstractOdometry is crucial for robot navigation, particularly in situations where global positioning methods like global positioning system are unavailable. The main goal of odometry is to predict the robot’s motion and accurately determine its current location. Various sensors, such as wheel encoder, inertial measurement unit (IMU), camera, radar, and Light Detection and Ranging (LiDAR), are used for odometry in robotics. LiDAR, in particular, has gained attention for its ability to provide rich three-dimensional (3D) data and immunity to light variations. This survey aims to examine advancements in LiDAR odometry thoroughly. We start by exploring LiDAR technology and then scrutinize LiDAR odometry works, categorizing them based on their sensor integration approaches. These approaches include methods relying solely on LiDAR, those combining LiDAR with IMU, strategies involving multiple LiDARs, and methods fusing LiDAR with other sensor modalities. In conclusion, we address existing challenges and outline potential future directions in LiDAR odometry. Additionally, we analyze public datasets and evaluation methods for LiDAR odometry. To our knowledge, this survey is the first comprehensive exploration of LiDAR odometry.
REMOVER-PITCh: microhomology-assisted long-range gene replacement with highly multiplexed CRISPR-Cas9
Authors: Matsuzaki Shu , Sakuma Tetsushi , Yamamoto Takashi 
Published: February 2024

AbstractA variety of CRISPR-Cas9-based gene editing technologies have been developed, including gene insertion and gene replacement, and applied to the study and treatment of diseases. While numerous studies have been conducted to improve the efficiency of gene insertion and to expand the system in various ways, there have been relatively few reports on gene replacement technology; therefore, further improvements are still needed in this context. Here, we developed the REMOVER-PITCh system to establish an efficient long-range gene replacement method and demonstrated its utility at two genomic loci in human cultured cells. REMOVER-PITCh depends on microhomology-assisted gene insertion technology called PITCh with highly multiplexed CRISPR-Cas9. First, we achieved gene replacement of about 20-kb GUSB locus using this system. Second, by applying the previously established knock-in-enhancing platform, the LoAD system, along with REMOVER-PITCh, we achieved the replacement of a longer gene region of about 200 kb at the ARSB locus. Our REMOVER-PITCh system will make it possible to remove and incorporate a variety of sequences from and into the genome, respectively, which will facilitate the generation of various disease and humanized models.
Data-Driven Overlapping-Track Profile Modeling in Cold Spray Additive Manufacturing
Authors: Ikeuchi Daiki , Vargas-Uscategui Alejandro , Wu Xiaofeng , King Peter C. 
Published: February 2024

AbstractCold spray additive manufacturing is an emerging solid-state deposition process that enables large-scale components to be manufactured at high-production rates. Control over geometry is important for reducing the development and growth of defects during the 3D build process and improving the final dimensional accuracy and quality of components. To this end, a machine learning approach has recently gained interest in modeling additively manufactured geometry; however, such a data-driven modeling framework lacks the explicit consideration of a depositing surface and domain knowledge in cold spray additive manufacturing. Therefore, this study presents surface-aware data-driven modeling of an overlapping-track profile using a Gaussian Process Regression model. The proposed Gaussian Process modeling framework explicitly incorporated two relevant geometric features (i.e., surface type and polar length from the nozzle exit to the surface) and a widely adopted Gaussian superposing model as prior domain knowledge in the form of an explicit mean function. It was shown that the proposed model could provide better predictive performance than the Gaussian superposing model alone and the purely data-driven Gaussian Process model, providing consistent overlapping-track profile predictions at all overlapping ratios. By combining accurate prediction of track geometry with toolpath planning, it is anticipated that improved geometric control and product quality can be achieved in cold spray additive manufacturing.
From the Mind to the Spine: The Intersecting World of Alzheimer’s and Osteoporosis
Authors: Margetts Tyler J. , Wang Hannah S. , Karnik Sonali J. , Plotkin Lilian I. , Movila Alexandru , Oblak Adrian L. , Fehrenbacher Jill C. , Kacena Melissa A. 
Published: February 2024

Abstract
Purpose of Review
This comprehensive review delves into the intricate interplay between Alzheimer’s disease (AD) and osteoporosis, two prevalent conditions with significant implications for individuals’ quality of life. The purpose is to explore their bidirectional association, underpinned by common pathological processes such as aging, genetic factors, inflammation, and estrogen deficiency.

Recent Findings
Recent advances have shown promise in treating both Alzheimer’s disease (AD) and osteoporosis by targeting disease-specific proteins and bone metabolism regulators. Monoclonal antibodies against beta-amyloid and tau for AD, as well as RANKL and sclerostin for osteoporosis, have displayed therapeutic potential. Additionally, ongoing research has identified neuroinflammatory genes shared between AD and osteoporosis, offering insight into the interconnected inflammatory mechanisms. This knowledge opens avenues for innovative dual-purpose therapies that could address both conditions, potentially revolutionizing treatment approaches for AD and osteoporosis simultaneously.

Summary
This review underscores the potential for groundbreaking advancements in early diagnosis and treatment by unraveling the intricate connection between AD and bone health. It advocates for a holistic, patient-centered approach to medical care that considers both cognitive and bone health, ultimately aiming to enhance the overall well-being of individuals affected by these conditions. This review article is part of a series of multiple manuscripts designed to determine the utility of using artificial intelligence for writing scientific reviews.
Soziale Arbeit in Jordanien
Authors: Nashwan Ayat , Scherr Albert 
Published: February 2024

ZusammenfassungDer Beitrag informiert über die Entwicklung, die Erfordernisse und die Schwierigkeiten der Sozialen Arbeit in Jordanien sowie die Studiengänge und den Arbeitsmarkt. Aufgezeigt wird, dass Soziale Arbeit unter Bedingungen eines nur schwach entwickelten Sozialstaats stattfindet und zu einem großen Teil im Kontext von internationalen, nationalen und lokalen Nichtregierungsorganisationen (NGOs), deren Angebote sich überwiegend an Geflüchtete richten. Aufgrund fehlender oder geringer rechtlicher Ansprüche auf sozialstaatliche Unterstützung erfolgt Hilfe überwiegend als eine zivilgesellschaftliche Wohltätigkeit unter Bedingungen knapper Mittel.
Assessing cytotoxicity and endoplasmic reticulum stress in human blood–brain barrier cells due to silver and copper oxide nanoparticles
Authors: Chojnacka-Puchta Luiza , Sawicka Dorota , Zapor Lidia , Miranowicz-Dzierzawska Katarzyna 
Published: February 2024

Abstract
In recent years, it has been generally accepted that metal-based nanoparticles (NPs) may induce stress in the endoplasmic reticulum (ER), a key organelle where protein folding occurs. We examined ER stress in immortalized human cerebral microvascular cells (hCMEC/D3) after exposure to silver-NPs (Ag-NPs)- and copper oxide-NPs (CuO-NPs) induced toxicity at < 10 nm and < 40 nm or < 50 nm diameters, respectively. In cytotoxicity assessments, cells were exposed to different CuO-NPs (5–400 µg/mL) or Ag-NPs (1–10 µg/mL) concentration ranges for 24 h and 72 h, and tetrazole salt reduction assays (EZ4U) were performed. Also, Ag-NP or CuO-NP effects on cell proliferation, apoptosis (caspase 3/7 assays), and ER stress and cell morphology were evaluated. In ER stress assessments, RNA-like endoplasmic reticulum kinase (PERK), activating transcription factor 6 (ATF6), inositol-requiring enzyme 1 (IRE1a), and others stress factor mRNA levels were determined after 24 h treatment using Real-Time PCR. Increased stress sensors (IRE1a, PERK, and ATF6) mRNA levels were observed after exposure to Ag-NPs (< 10 and < 40 nm) or CuO-NPs (< 50 nm). We investigated the expression of tight junction (TJ) proteins (barrier junctions) and showed that both types of NP reduced of OCLN gene expression. Morphological changes were observed after Ag-NP or CuO-NP exposure using holotomographic microscopy. Our data suggest that Ag- and CuO-NPs should undergo future in vitro and in vivo toxicology studies, especially for downstream biomedical application and occupational risk assessments.
Network pharmacology and experimental validation to explore the molecular mechanisms of kidney and blood refreshing recipe for the treatment of intrauterine adhesions
Authors: Hu Renzhi , Xia Min , Weng Shuangya , Chen Zhi , Wang Zhen , Zou Xuemei , Zhang Yan , Chen Yiming , Tang Sisi 
Published: February 2024

AbstractKidney and blood refreshing recipe formula is usually used to effectively treat intrauterine adhesions (IUAs). However, little is known about the underlying mechanism of kidney and blood refreshing recipes. We investigated the pharmacological mechanism of Bushen Yixue recipe on IUA through pharmacological and experimental validation. By network pharmacological analysis, 183 active constituents of the kidney and blood refreshing recipe were screened out (retrieved from TCMSP and TCM-ID). According to Venn diagram analysis, there were 102 common targets of the kidney and blood refreshing recipe. PPI analysis of the above common targets showed that there were 102 nodes and 1678 edges. Subsequently, GO enrichment and KEGG pathway analyses were also performed, which resulted in 1582 biological processes, 111 molecular functions, 82 cell components, and 174 related pathways. The active component of the kidney and blood refreshing recipe was also determined by liquid mass spectrometry. Finally, a rat model of IUA was constructed and tested in vivo. After kidney and blood refreshing recipe treatment, HE staining, Masson staining and immunohistochemistry (TGF-β1, SDF-1, VEGF) were performed on the uterine tissues of rats. The results showed that fibrosis in the uterine tissue was inhibited. The kidney and blood refreshing recipe inhibits fibrosis by inhibiting the expression of genes typical of fibrosis.
Youth, Pornography, and Addiction: A Critical Review
Authors: Healy-Cullen Siobhán , Taylor Kris , Morison Tracy 
Published: February 2024

Abstract
Purpose of Review
In this article, we dig more deeply into the assumptions underpinning common-sense understandings about youth “exposure” to pornography and the ostensible “effects” of this exposure, specifically “pornography addiction”. We trace the emergence of the notion of “pornography addiction”, highlighting how cultural conditions have allowed for its realisation as a socially recognisable and intelligible narrative.

Recent Findings
Media effects research on the issue of youth “exposure” to pornography is not conclusive, nor is pornography addiction officially recognised as a diagnosable disorder. Moreover, an emerging body of multidisciplinary qualitative research, which, importantly, includes the perspectives and experiences of young people themselves, raises questions about some of the assumptions and conclusions of effects-focused research.

Summary
Despite inconclusive and contrasting findings, the social narrative of pornography addiction persists both within and beyond academe. We make sense of this persistence in relation to the broader problematisation of youth sexuality, which includes unease and moral objection to young people viewing pornography. It is important to recognise the broader socio-cultural systems supporting the cultural narrative of pornography addiction, and the social functions that this narrative serves, that is, the need for adult intervention into the sexual lives of youth.
Tribological properties of Al-GNP composites at elevated temperature
Authors: Poudel Sunil , Bajwa Rizwan , Xia Yongde , Khan Zakir , Zhang Yi , Zhu Yanqiu 
Published: February 2024

AbstractLighter and more powerful next generation vehicles and other rotary machinery demand bearings to operate in harsher conditions for higher efficiency, and the continuous development of advanced low-wear and friction materials is thus becoming even more important to meet these requirements. New aluminium composites reinforced with high performance lubricate phases such as graphene nanoplatelets (GNPs) are very promising and have been vigorously investigated. By maintaining a low coefficient of friction (COF) and offering great strength against wear due to their self-lubricating capability, the solid lubricant like GNPs protect the bearing surface from wear damage and prevent change in metallurgical properties during temperature fluctuations. This paper first studies the high-temperature tribological performance of aluminium matrix composites reinforced with GNP, consolidated via powder metallurgy, then elucidates their tribological mechanism. We report that the best tribological performance is achieved by the composite containing 2.0 wt% GNP, with an extraordinarily low COF of 0.09 and a specific wear rate of 3.5×10−2 mm3·N−1·m−1, which represent 75% and 40% reduction respectively, against the plain aluminium consolidated under identical conditions. The in-track and out-of-track Raman analysis have confirmed the role of GNPs in creating a tribofilm on the counterpart surface which contributed to the excellent performance.
The effects of ghrelin and LEAP-2 in energy homeostasis are modulated by thermoneutrality, high-fat diet and aging
Authors: Casado S. , Varela-Miguéns M. , de Oliveira Diz T. , Quintela-Vilariño C. , Nogueiras R. , Diéguez C. , Tovar S. 
Published: February 2024

Abstract
Purpose
Liver-expressed antimicrobial peptide 2 (LEAP-2) has been recently identified as the endogenous non-competitive allosteric antagonist of the growth hormone secretagogue receptor 1a (GHSR1a). In rodents, LEAP-2 blunts ghrelin-induced feeding and its plasma levels are modulated in response to nutritional status, being decreased upon fasting and increased in high-fat diet (HFD) fed mice. Clinical data support the regulation of circulating LEAP-2 by nutrient availability in humans. In this work, our primary objective was to examine the chronic effects of ghrelin and LEAP-2 administration on food intake, adiposity, and energy expenditure in young mice subjected to standard and HFD at both room temperature and at thermoneutrality. Furthermore, we aimed to assess the impact of these two hormones on aging mice.

Results
Our results indicate that LEAP-2 produces a significant decrease of body weight and adiposity, an increase in energy expenditure, and activation of the thermogenic program in white and brown adipose tissue depots. However, this effect is not maintained under HFD or under thermoneutral conditions and is only partially observed in aging mice.

Conclusion
In summary our studies describe the central effects of LEAP-2 within distinct experimental contexts, and contribute to the comprehension of LEAP-2's role in energy metabolism.
Surface Patterning of Metal Zinc Electrode with an In-Region Zincophilic Interface for High-Rate and Long-Cycle-Life Zinc Metal Anode
Authors: Wang Tian , Xi Qiao , Yao Kai , Liu Yuhang , Fu Hao , Kavarthapu Venkata Siva , Lee Jun Kyu , Tang Shaocong , Fattakhova-Rohlfing Dina , Ai Wei , Yu Jae Su 
Published: February 2024

AbstractThe undesirable dendrite growth induced by non-planar zinc (Zn) deposition and low Coulombic efficiency resulting from severe side reactions have been long-standing challenges for metallic Zn anodes and substantially impede the practical application of rechargeable aqueous Zn metal batteries (ZMBs). Herein, we present a strategy for achieving a high-rate and long-cycle-life Zn metal anode by patterning Zn foil surfaces and endowing a Zn-Indium (Zn-In) interface in the microchannels. The accumulation of electrons in the microchannel and the zincophilicity of the Zn-In interface promote preferential heteroepitaxial Zn deposition in the microchannel region and enhance the tolerance of the electrode at high current densities. Meanwhile, electron aggregation accelerates the dissolution of non-(002) plane Zn atoms on the array surface, thereby directing the subsequent homoepitaxial Zn deposition on the array surface. Consequently, the planar dendrite-free Zn deposition and long-term cycling stability are achieved (5,050 h at 10.0 mA cm−2 and 27,000 cycles at 20.0 mA cm−2). Furthermore, a Zn/I2 full cell assembled by pairing with such an anode can maintain good stability for 3,500 cycles at 5.0 C, demonstrating the application potential of the as-prepared ZnIn anode for high-performance aqueous ZMBs.
On semi-continuity and continuity of the smallest and largest minimizing point of real convex functions with applications in probability and statistics
Authors: Ferger Dietmar 
Published: February 2024

AbstractWe prove that the smallest minimizer $$\sigma (f)$$

σ
(
f
)

of a real convex function f is less than or equal to a real point x if and only if the right derivative of f at x is non-negative. Similarly, the largest minimizer $$\tau (f)$$

τ
(
f
)

is greater than or equal to x if and only if the left derivative of f at x is non-positive. From this simple result we deduce measurability and semi-continuity of the functionals $$\sigma $$
σ
and $$\tau $$
τ
. Furthermore, if f has a unique minimizing point, so that $$\sigma (f)=\tau (f)$$

σ
(
f
)
=
τ
(
f
)

, then the functional is continuous at f. With these analytical preparations we can apply Continuous Mapping Theorems to obtain several Argmin theorems for convex stochastic processes. The novelty here are statements about classical distributional convergence and almost sure convergence, if the limit process does not have a unique minimum point. This is possible by replacing the natural topology on $$\mathbb {R}$$
R
with the order topologies. Another new feature is that not only sequences but more generally nets of convex stochastic processes are allowed.
Revisiting the Classical Theory of Investment: An Empirical Assessment from the European Union
Authors: Boundi-Chraki Fahd , Perrotini-Hernández Ignacio 
Published: February 2024

AbstractIn alignment with classical investment theory, this study explores the enduring relationships and causal linkages among total private investment, profit rate, unit labour costs, and demand growth within the European Union throughout the period spanning from 1961 to 2019. The empirical approach adopted involves the use of advanced econometric techniques designed to address cross-sectional dependence and slope heterogeneity. As a first stage, we examine stationarity and cointegration by employing second-generation panel unit root and cointegration tests. Subsequently, we estimate long-run equations through estimators intended to control for cross-sectional dependence and slope heterogeneity. As a further step, we use the Dumitrescu-Hurlin procedure to examine potential bidirectional causality between the variables and detect whether there exists endogeneity in the data. Finally, we apply the dynamic common correlated effects estimator mean group with instrumental variables to control for the potential presence of endogeneity. The outcomes of the analysis underscore a positive association between private investment and the profit rate, unit labour costs, and demand growth, thus providing robust empirical support for the classical theory of investment.
Towards a digital twin of a holacratic organization: a point of view on Lyytinen et al. (2023)
Authors: Winkler Johannes , Kremser Waldemar 
Published: February 2024

AbstractThis point of view paper challenges and extends Lyytinen et al.’s (J Organ Des https://doi.org/10.1007/s41469-023-00151-z, 2023) conceptualization of Digital Twins of Organizations (DTOs) as highly complex models including multiple organizational facets like agency, conflict, and emergence. They argue that the journey to achieving a fully functional DTO is a long way. However, we suggest a more parsimonious approach, focusing on leveraging digital trace data on the four universal problems of organizing: task division, task allocation, provision of rewards, and provision of information. Using the specific context of a holacratic organization, we argue that some organizations already produce extensive digital traces that can be leveraged to construct a DTO that is fit-for-purpose. We propose that existing data-science methods like predictive models, matching algorithms, clustering algorithms, and association rule mining can be employed to transform these digital traces into actionable insights for decision-makers. This approach not only addresses the complexity concerns raised by Lyytinen et al. (J Organ Des https://doi.org/10.1007/s41469-023-00151-z, 2023) but also offers a near-term pathway for holacratic organizations to benefit from DTOs as decision-support tools.
Does Central Statistical Monitoring Improve Data Quality? An Analysis of 1,111 Sites in 159 Clinical Trials
Authors: de Viron Sylviane , Trotta Laura , Steijn William , Young Steve , Buyse Marc 
Published: February 2024

Abstract
Background
Central monitoring aims at improving the quality of clinical research by pro-actively identifying risks and remediating emerging issues in the conduct of a clinical trial that may have an adverse impact on patient safety and/or the reliability of trial results. This paper, focusing on statistical data monitoring (SDM), is the second of a series that attempts to quantify the impact of central monitoring in clinical trials.

Material and Methods
Quality improvement was assessed in studies using SDM from a single large central monitoring platform. The analysis focused on a total of 1111 sites that were identified as at-risk by the SDM tests and for which the study teams conducted a follow-up investigation. These sites were taken from 159 studies conducted by 23 different clinical development organizations (including both sponsor companies and contract research organizations). Two quality improvement metrics were assessed for each selected site, one based on a site data inconsistency score (DIS, overall -log10P-value of the site compared with all other sites) and the other based on the observed metric value associated with each risk signal.

Results
The SDM quality metrics showed improvement in 83% (95% CI, 80–85%) of the sites across therapeutic areas and study phases (primarily phases 2 and 3). In contrast, only 56% (95% CI, 41–70%) of sites showed improvement in 2 historical studies that did not use SDM during study conduct.

Conclusion
The results of this analysis provide clear quantitative evidence supporting the hypothesis that the use of SDM in central monitoring is leading to improved quality in clinical trial conduct and associated data across participating sites.