bluuebunny/crossref_metadata_2025_split huggingface dataset:
A WENO SPH scheme with improved transport velocity and consistent divergence operator
Authors: Antona Rubén , Vacondio Renato , Avesani Diego , Righetti Maurizio , Renzi Massimiliano 
Published: November 2023

AbstractThe Arbitrary Lagrangian–Eulerian Smoothed Particle Hydrodynamics (ALE-SPH) formulation can guarantee stable solutions preventing the adoption of empirical parameters such as artificial viscosity. However, the convergence rate of the ALE-SPH formulation is still limited by the inaccuracy of the SPH spatial operators. In this work, a Weighted Essentially Non-Oscillatory (WENO) spatial reconstruction is then adopted to minimise the numerical diffusion introduced by the approximate Riemann solver (which ensures stability), in combination with two alternative approaches to restore the consistency of the scheme: corrected divergence SPH operators and the particle regularisation guaranteed by the correction of the transport velocity. The present work has been developed in the framework of the DualSPHysics open-source code. The beneficial effect of the WENO reconstruction to reduce numerical diffusion in ALE-SPH schemes is first confirmed by analysing the propagation of a small pressure perturbation in a fluid initially at rest. With the aid of a 2-D vortex test case, it is then demonstrated that the two aforementioned techniques to restore consistency effectively reduce saturation in the convergence to the analytical solution. Moreover, high-order (above second) convergence is achieved. Yet, the presented scheme is tested by means of a circular blast wave problem to demonstrate that the restoration of consistency is a key feature to guarantee accuracy even in the presence of a discontinuous pressure field. Finally, a standing wave has been reproduced with the aim of assessing the capability of the proposed approach to simulate free-surface flows.
Artificial intelligence in endocrinology: a comprehensive review
Authors: Giorgini F. , Di Dalmazi G. , Diciotti S. 
Published: November 2023

Abstract
Background and aim
Artificial intelligence (AI) has emerged as a promising technology in the field of endocrinology, offering significant potential to revolutionize the diagnosis, treatment, and management of endocrine disorders. This comprehensive review aims to provide a concise overview of the current landscape of AI applications in endocrinology and metabolism, focusing on the fundamental concepts of AI, including machine learning algorithms and deep learning models.

Methods
The review explores various areas of endocrinology where AI has demonstrated its value, encompassing screening and diagnosis, risk prediction, translational research, and “pre-emptive medicine”. Within each domain, relevant studies are discussed, offering insights into the methodology and main findings of AI in the treatment of different pathologies, such as diabetes mellitus and related disorders, thyroid disorders, adrenal tumors, and bone and mineral disorders.

Results
Collectively, these studies show the valuable contributions of AI in optimizing healthcare outcomes and unveiling new understandings of the intricate mechanisms underlying endocrine disorders. Furthermore, AI-driven approaches facilitate the development of precision medicine strategies, enabling tailored interventions for patients based on their individual characteristics and needs.

Conclusions
By embracing AI in endocrinology, a future can be envisioned where medical professionals and AI systems synergistically collaborate, ultimately enhancing the lives of individuals affected by endocrine disorders.
Italy and the Trap of GVC Downgrading: Labour Dependence in the European Geography of Production
Authors: Cresti Lorenzo , Dosi Giovanni , Riccio Federico , Virgillito Maria Enrica 
Published: November 2023

AbstractHow does Italy position inside the European structure of trade relationships? How labour bilateral flows have changed over time? Which type of employment activity has been outsourced? Which insourced? Focusing on a three-country perspective, what are the employment bilateral relationships between Italy-Germany-Poland (descending periphery-core-ascending periphery)? To address these questions we develop a novel set of bilateral labour dependence indicators inside I-O production networks. Overall, we provide evidence of the reconfiguration of Italy as falling into the trap of GVC downgrading, with an increasing number of trade relationships in employment requirements, particularly in the most strategic productions, as insourced from abroad. The offshoring strategy conducted so far has resulted in a weakening of its internal production capacity and employment absorption, even more harshly when compared to other European countries.
The use of numerical models within the BIM environment, for the issue of Cultural heritage restoration. Buildings designed until 1940 in Albania
Authors: Vesho Nikolla , Guri Merita , Sava Arjola 
Published: November 2023

AbstractThe study is related to the historical and architectural heritage of the city of Tirana, based on the period of Italian influence until 1940. The stock of these buildings represents an interesting case, in terms of research, since they are close to the 100th anniversary after the construction and have great values for the city, as well as architectural heritage. The lifespan of these objects depends on interventions over the years, conservation, updating with digital monitoring technology and the inclusion of BIM and h-BIM tools in the treatment process. It is important to mention that the building does not only need facade maintenance and refinishing, but by getting to know its fragile parts we can have a seismic retrofit strategy ready. Specifically, this research focuses on several digitization processes, 3D models, simulation and intervention proposals. One of the main aspects is the communication between computer models, dealing with the FEM numerical model and the architectural model inside and outside the BIM environment, reducing the gap between them and without major data loss. After analyzing the collapse scenarios, it is intended to increase the accuracy of seismic retrofit interventions, with the sensitivity that belongs to a cultural heritage object. The application of numerical models for legacy objects presents a challenge since the complexity of handling an old building, the parameters of materials, calibrations and approaching the real response of the building in a seismic situation is known. Applications through BIM tools and files with numerous numerical data tend to make a contribution to the field of seismic engineering and heritage restoration in Albania. Variants with proposals on seismic retrofit strategies for protected buildings will be given at the end of this study.
Molecular mechanism analysis of ZmRL6 positively regulating drought stress tolerance in maize
Authors: Zhang Pengyu , Wang Tongchao , Cao Liru , Jiao Zhixin , Ku Lixia , Dou Dandan , Liu Zhixue , Fu Jiaxu , Xie Xiaowen , Zhu Yingfang , Chong Leelyn , Wei Li 
Published: November 2023

AbstractMYB-related genes, a subclass of MYB transcription factor family, have been documented to play important roles in biological processes such as secondary metabolism and stress responses that affect plant growth and development. However, the regulatory roles of MYB-related genes in drought stress response remain unclear in maize. In this study, we discovered that a 1R-MYB gene, ZmRL6, encodes a 96-amino acid protein and is highly drought-inducible. We also found that it is conserved in both barley (Hordeum vulgare L.) and Aegilops tauschii. Furthermore, we observed that overexpression of ZmRL6 can enhance drought tolerance while knock-out of ZmRL6 by CRISPR-Cas9 results in drought hypersensitivity. DAP-seq analyses additionally revealed the ZmRL6 target genes mainly contain ACCGTT, TTACCAAAC and AGCCCGAG motifs in their promoters. By combining RNA-seq and DAP-seq results together, we subsequently identified eight novel target genes of ZmRL6 that are involved in maize's hormone signal transduction, sugar metabolism, lignin synthesis, and redox signaling/oxidative stress. Collectively, our data provided insights into the roles of ZmRL6 in maize’s drought response.
Responsibility Gaps and Black Box Healthcare AI: Shared Responsibilization as a Solution
Authors: Lang Benjamin H. , Nyholm Sven , Blumenthal-Barby Jennifer 
Published: November 2023

AbstractAs sophisticated artificial intelligence software becomes more ubiquitously and more intimately integrated within domains of traditionally human endeavor, many are raising questions over how responsibility (be it moral, legal, or causal) can be understood for an AI’s actions or influence on an outcome. So called “responsibility gaps” occur whenever there exists an apparent chasm in the ordinary attribution of moral blame or responsibility when an AI automates physical or cognitive labor otherwise performed by human beings and commits an error. Healthcare administration is an industry ripe for responsibility gaps produced by these kinds of AI. The moral stakes of healthcare are often life and death, and the demand for reducing clinical uncertainty while standardizing care incentivizes the development and integration of AI diagnosticians and prognosticators. In this paper, we argue that (1) responsibility gapsaregenerated by “black box” healthcare AI, (2) the presence of responsibility gaps (if unaddressed) creates serious moral problems, (3) a suitable solution is for relevant stakeholders to voluntarilyresponsibilizethe gaps, taking on some moral responsibility for things they are not, strictly speaking, blameworthy for, and (4) should this solution be taken, black box healthcare AI will be permissible in the provision of healthcare.
A systematic literature review of ICT integration in secondary education: what works, what does not, and what next?
Authors: Msafiri Mgambi Msambwa , Kangwa Daniel , Cai Lianyu 
Published: November 2023

AbstractThis study is rigorous of peer-reviewed literature on the integration of information and communication technology (ICT) tools in secondary schools. It analyzed the impact of ICT integration on the teaching and learning process based on 51 sampled studies. The findings are thematically presented under the benefits of improving teaching and learning processes regarding curriculum coverage, equitable access, shared learning resources, and personalized learning. Furthermore, challenges were found in professional development, pedagogical and technological knowledge, and resource maintenance. Among the best practices and strategies to resolve these challenges were regular supply and systems maintenance, curricula realignment, ICT policy formulation, and engaging all stakeholders in ICT integration. Recommendations: practitioners should adopt, adapt, and innovate pedagogical approaches, strategies, and methods to facilitate the use of ICT in teaching and learning and should align and integrate ICT tools with curriculum objectives, content, or standards by exploring and using diverse and dynamic ICT tools and methods in secondary schools.
CCSD: cross-camera self-distillation for unsupervised person re-identification
Authors: Chen Jiyuan , Gao Changxin , Sun Li , Sang Nong 
Published: November 2023

AbstractExisting unsupervised person re-identification (Re-ID) methods have achieved remarkable performance by adopting an alternate clustering-training manner. However, they still suffer from camera variation, which results in an inconsistent feature space and unreliable pseudo labels that severely degrade the performance. In this paper, we propose a cross-camera self-distillation (CCSD) framework for unsupervised person Re-ID to alleviate the effect of camera variation. Specifically, in the clustering phase, we propose a camera-aware cluster refinement mechanism, which first splits each cluster into multiple clusters according to the camera views, and then refines them into more compact clusters. In the training phase, we first obtain the similarity between the samples and the refined clusters from the same and different cameras, and then transfer the knowledge of similarity distribution from intra-camera to cross-camera. Since the intra-camera similarity is free from camera variation, our knowledge distillation approach is able to learn a more consistent feature space across cameras. Extensive experiments demonstrate the superiority of our proposed CCSD against the state-of-the-art approaches on unsupervised person Re-ID.
Divergent experiences of Syrian refugee girls in Tripoli, Lebanon: a cross-sectional analysis to inform response and programming
Authors: Bakhache Nour , Delisle Victoria , Michael Saja , Davison Colleen M. , Bartels Susan A. 
Published: November 2023

Abstract
Background
In prior studies exploring the experiences of Syrian refugee girls in Tripoli, Beqaa, and Beirut, especially in relation to child marriage, our data showed distinct variations in response patterns from Tripoli relative to the other regions. To gain a deeper understanding of these contrasting experiences and to ascertain the unique needs of Syrian refugees in Tripoli, we conducted a mixed-methods analysis.

Methods
We conducted a mixed-methods, cross-sectional study in Lebanon in July–August 2016 using Cognitive Edge’s SenseMaker®. Participants were self-identified Syrian refugees and Lebanese men aged 14 and older. For dyad questions, Kruskal–Wallis H tests with chi-squared statistics compared different geographic subgroups and post-hoc Fisher’s Least Squares Difference analysis identified which groups differed. For triad data, geometric means and 95% confident ellipses were used to compare subgroups. Qualitative analysis of narratives from Tripoli complemented the quantitative results.

Results
We collected 1422 narratives from 1346 unique participants, including 464 participants from Tripoli. From the quantitative data, three significant response pattern differences between participants in Tripoli and participants in other locations were noted: (a) Syrian fathers in Tripoli perceived that additional programs/services were needed to support Syrian girls, (b) men in Tripoli reported that financial insecurity had contributed to the experiences of Syrian girls, and (c) Syrian girls and mothers in Tripoli perceived that girls were ‘protected too much’. These differences may be driven by the economic and political subnational differences unique to Tripoli.

Conclusions
Our subnational analysis identified a need for programs and services, financial security, and safety for Syrian girls in Tripoli. Different perspectives in Tripoli highlight that the experiences, concerns, and needs of Syrian refugees in Lebanon are not homogenous across locations. Localized contextualization is needed to guide the development of tailored approaches to support and to inform the distribution of resources.
A Closer Look at Indirect Causes of Death After Hurricane Maria Using a Semiparametric Model
Authors: Lugo Oscar , Rivera Roberto 
Published: November 2023

Abstract

Objective:
The coronavirus disease 2019 (COVID-19) pandemic as well as other recent natural emergencies have put the spotlight on emergency planning. One important aspect is that natural disasters or emergencies often lead to indirect deaths, and studying the behavior of indirect deaths during emergencies can guide emergency planning. While many studies have suggested many indirect deaths in Puerto Rico due to Hurricane Maria; the specific causes of these deaths have not been carefully studied.

Methods:
In this study, we use a semiparametric model and mortality data to evaluate cause of death trends. Our model adjusts for cause of death effect potentially varying over time while also inferring on how long excess deaths occurred.

Results:
From September 2017 to March 2018, after adjusting for intra-annual variability and population displacement, we find evidence of significant excess deaths due to Alzheimer’s/Parkinson, heart disease, sepsis, diabetes, renal failure, and pneumonia and influenza.

Conclusions:
In contrast, for the same time period we find no evidence of significant excess deaths due to cancer, hypertension, respiratory diseases, cerebrovascular disease, suicide, homicide, falling accidents, and traffic accidents.
Rodriguez at Fifty: A Legacy of Intersecting Inequalities
Authors: Walsh Camille 
Published: November 2023

AbstractFifty years after the Supreme Court issued its ruling in San Antonio Independent School District v. Rodriguez, the trajectory of school finance desegregation has shifted from expansive federal hopes to narrower state efforts. Attempts to address many of the disparities continue to be constrained by the complex and intersecting nature of the inequalities, rooted in compounding decades of discrimination. This article examines the legal historiography and politics of the Rodriguez decision, analyzing the path from Brown v. Board of Education to Rodriguez in the context of the scholarship around Rodriguez over the last fifty years as well as the wide body of work discussing state-based litigation efforts since the 1973 ruling.
Policy Dialogue: The Rodriguez Decision and Its Legacy
Authors: Baker Bruce , Hinojosa David 
Published: November 2023

AbstractThis year marks the fiftieth anniversary of the San Antonio v. Rodriguez case, viewed by some as the worst decision in the US Supreme Court’s modern history. As legal scholar Erwin Chemerinsky observed, the court essentially declared that “discrimination against the poor does not violate the Constitution and that education is not a fundamental right.”1 Five decades later, how does this case from the past continue to exert its influence on the present? And how might the present have looked different if the court had reached a different conclusion?For this policy dialogue, the HEQ editors asked Bruce Baker and David Hinojosa to discuss the Rodriguez decision and its legacy, focusing particularly on how the case has shaped and constrained equity efforts in K-12 education. Bruce Baker is professor and chair of the Department of Teaching and Learning at the University of Miami. A leading scholar on the financing of public elementary and secondary education systems, he is the author of Educational Inequality and School Finance (Harvard Education Press, 2018) and School Finance and Education Equity (Harvard Education Press, 2021). David Hinojosa is the director of the Educational Opportunities Project at the Lawyers’ Committee for Civil Rights Under Law, where he spearheads the organization’s systemic racial justice work in guaranteeing that historically marginalized students of color receive equal and equitable educational opportunities in public schools and institutions of higher education. He is a leading litigator and advocate in civil rights, specializing in educational impact litigation and policy.HEQ policy dialogues are, by design, intended to promote an informal, free exchange of ideas between scholars. At the end of the exchange, we offer a list of references for readers who wish to follow up on sources relevant to the discussion.
A MESOPOTAMIAN TRADITION? AN ANCIENT MAP RELATED TO THE IRRIGATION SYSTEM OF THE OLD ELAMITE PERIOD FROM TAPPEH GĀRĀN, DEH LURAN PLAIN, IRAN
Authors: Zeynivand Mohsen , Sharifi Fereshteh 
Published: November 2023

To Professor James NeelyIn respect and admirationAlmost 50 years after landmark archaeological activities in the Deh Luran plain in southwestern Iran by Frank Hole, Kent Flannery, James Neely, and Henry Wright, the area was re-surveyed in 2016 and 2019 to assess the destruction of archaeological sites as a result of agricultural and expanded irrigation activities. During the surface survey on Tappeh Gārān two inscribed objects were found. The inscriptions yield some information on the economic and political importance of Tappeh Gārān in the Old Elamite Period. Textual evidence indicates that throughout the 3th to the 1st millennia BCE, Mesopotamian rulers frequently invaded Elam and seized its principal centres, especially Susa. As the main corridor between Elam and its western neighbors, the Deh Luran plain is a major route between the two, especially in regards to the acquisition of raw materials by the Mesopotamians, including different kinds of stone and bitumen. Further, the abundance of water and fertile soil made the Deh Luran plain a desirable target for Mesopotamian polities. The inscribed objects from Tappeh Gārān consist of writings in Akkadian and geometric patterns that we think illustrate the outline of an agricultural scheme.
The effect of source of protein fed during pregnancy and lactation on the development of characteristics of metabolic syndrome in male offspring of obese Wistar rats
Authors: Jahan-mihan Alireza 
Published: November 2023

Abstract
Gestational obesity has major negative impacts on both mothers and their offspring. More than two-thirds of women of reproductive age in the United States are overweight and/or obese. We previously reported that the source of protein in the maternal diet influences the phenotype of offspring born to normal-weight dams. However, whether it has the same effect in obese mothers was unclear. The casein- and soya protein-based diets were fed to obese pregnant Wistar rats and compared for their effects on characteristics of the metabolic syndrome in male offspring. Dams randomized to either a casein (CD) or soya protein (SD) diet (n 12). Pups were weaned to either a CD or SD for 16 weeks. Offspring of SD dams had higher birthweight (P < 0⋅01). Glucose metabolism was not altered at birth but fasting blood glucose (FBG) (P < 0⋅02), insulin (P < 0⋅0002), insulin/glucose ratio (P < 0⋅03), and HOMA-IR index (P < 0⋅0002) were higher in offspring of SD dams at week 17. The pulse rate was higher in dams (P < 0⋅03). Food intake and body weight of offspring were affected by interactive effects of time and dams’ diet (P < 0⋅05). Food intake was not influenced by maternal diet, but it was higher in pups weaned to SD dams (P < 0⋅03) The results of this study indicate that although the source of protein in the maternal diet is still an influencing factor in the outcome of the pregnancy in obese mothers, gestational obesity may mask this effect possibly by imposing general detrimental effects on measured parameters regardless of the source of protein in maternal diet.
ADDITIVE COMPLETION OF THIN SETS
Authors: FANG JIN-HUI , SÁNDOR CSABA 
Published: November 2023

AbstractTwo sets
$A,B$
of positive integers are called exact additive complements if
$A+B$
contains all sufficiently large integers and
$A(x)B(x)/x\rightarrow 1$
. For
$A=\{a_1<a_2<\cdots \}$
, let
$A(x)$
denote the counting function of A and let
$a^*(x)$
denote the largest element in
$A\bigcap [1,x]$
. Following the work of Ruzsa [‘Exact additive complements’, Quart. J. Math.68 (2017) 227–235] and Chen and Fang [‘Additive complements with Narkiewicz’s condition’, Combinatorica39 (2019), 813–823], we prove that, for exact additive complements
$A,B$
with
${a_{n+1}}/ {na_n}\rightarrow \infty $
,
$$ \begin{align*}A(x)B(x)-x\geqslant \frac{a^*(x)}{A(x)}+o\bigg(\frac{a^*(x)}{A(x)^2}\bigg) \quad\mbox{as } x\rightarrow +\infty.\end{align*} $$
We also construct exact additive complements
$A,B$
with
${a_{n+1}}/{na_n}\rightarrow \infty $
such that
$$ \begin{align*}A(x)B(x)-x\leqslant \frac{a^*(x)}{A(x)}+(1+o(1))\bigg(\frac{a^*(x)}{A(x)^2}\bigg)\end{align*} $$
for infinitely many positive integers x.