bluuebunny/crossref_metadata_2025_split huggingface dataset:
Urban upgrading of slums: Baghdad and London slums as study models for urban rehabilitation
Authors: Abed Ali Dhafer 
Published: September 2023

AbstractThis phenomenon of slums represents one of the most serious problems that Iraqi cities suffer from, especially the city of Baghdad, which has become teeming with a lot of slum buildings that have distorted most of its areas and neighborhoods. Most of the slums are in the form of scattered construction and chaotic gatherings that do not follow any planning standards. This paper aims to present and analyze the mechanisms of urban upgrading of two models of slums in the city of Baghdad and London. The treatment was through the urban development of these slums and the provision and improvement of services to reduce the phenomenon of total removal. The GIS program was used to calculate the urban variables and requirements, the optimal locations for services, and the total and partial removal percentages. The research achieved the lowest percentage of total and partial removal of the actual areas, which amounted to 7.31% in the first model and 14.26% in the second model. The slum area was also provided with all the necessary services in accordance with the urban housing standards specific to each city, to turn it into a residential neighborhood instead of calling it a slum region.
Brain Storm Optimization Algorithm with an Adaptive Parameter Control Strategy for Finding Multiple Optimal Solutions
Authors: Zhang Yuhui , Wei Wenhong , Xie Shaohao , Wang Zijia 
Published: September 2023

AbstractReal-world optimization problems often have multiple optimal solutions and simultaneously finding these optimal solutions is beneficial yet challenging. Brain storm optimization (BSO) is a relatively new paradigm of swarm intelligence algorithm that has been shown to be effective in solving global optimization problems, but it has not been fully exploited for multimodal optimization problems. A simple control strategy for the step size parameter in BSO cannot meet the need of optima finding task in multimodal landscapes and can possibly be refined and optimized. In this paper, we propose an adaptive BSO (ABSO) algorithm that adaptively adjusts the step size parameter according to the quality of newly created solutions. Extensive experiments are conducted on a set of multimodal optimization problems to evaluate the performance of ABSO and the experimental results show that ABSO outperforms existing BSO algorithms and some recently developed algorithms. BSO has great potential in multimodal optimization and is expected to be useful for solving real-world optimization problems that have multiple optimal solutions.
On Meromorphic Solutions of Non-linear Differential-Difference Equations
Authors: Zhao MingXin , Huang Zhigang 
Published: September 2023

AbstractIn this paper, we investigate the non-existence of transcendental entire solutions for non-linear differential-difference equations of the forms $$\begin{aligned} f^{n}(z)+Q(z,f)=\beta _{1}e^{\alpha _{1}z}+\beta _{2}e^{\alpha _{2}z}+\cdots +\beta _{s}e^{\alpha _{s}z} \end{aligned}$$

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How deep learning influences workflows and roles in virtual surgical planning
Authors: Hofer Beat , Kittler Markus , Laukens Kris 
Published: September 2023

Abstract
Background
Deep learning (DL) has the potential to transform surgical practice, altering workflows and changing the roles of practitioners involved. However, studies have shown that introducing such change requires user acceptance. Following the development and presentation of a visual prototype for planning facial surgery interventions, the project aimed to understand the utility of DL, the implied workflow and role changes it would entail, and the potential barriers to its adoption in practice.

Method
This paper presents a multi-year case study providing insights from developing and introducing a visual prototype. The prototype was co-developed by facial surgeons, DL experts, and business process engineers. The study uses project data involving semi-structured interviews, workgroup results, and feedback from an external practitioner audience exposed to the prototype regarding their views on adopting DL tools in practice.

Findings
The surgeons attested a high utility to the application. However, the data also highlights a perceived need to remain in control, be able to intervene, and override surgical workflows in short intervals. Longer intervals without opportunities to intervene were seen with skepticism, suggesting that the practitioners’ acceptance of DL requires a carefully designed workflow in which humans can still take control of events.

Conclusion
Deep learning can improve and accelerate facial surgery intervention planning. Models from the business and management literature partially explain the acceptance of new technologies. Perceived ease of use seems less relevant than the perceived usefulness of new technology. Involving algorithms in clinical decision-making will change workflows and professional identities.
Magnitude of undernutrition and its association with dietary diversity among older persons in Ethiopia: a systematic review and meta-analysis, 2023
Authors: Mezgebu Getachew Sale , Petros Legesse , Alemayew Etaferaw , Abebaw Gashaw , Feleke Fentaw Wassie 
Published: September 2023

Abstract
Undernutrition in elders remains under-detected, under-treated, and under-resourced and leads to further weight loss, increased infections, and delay in recovery from illness as well as increased hospital admissions and length of stay. The reports of the findings were fragmented and inconsistent in Ethiopia. Therefore, the main objective of this meta-analysis was to estimate the pooled prevalence of undernutrition and its association with dietary diversity among older persons in Ethiopia. Online databases (Medline, PubMed, Scopus, and Science Direct), Google, Google Scholar, and other grey literature were used to search articles until the date of publication. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses guideline was followed. The random effect model was used to estimate the pooled prevalence; whereas subgroup analysis and meta-regression were performed to identify the probable source of heterogeneity using Stata version 14.0 software. Out of 522 studies accessed, 14 met our criteria and were included in the study. A total of 7218 older people (aged above 60 years old) were included in the study. The pooled proportion of undernutrition among older persons in Ethiopia was 20⋅6 % (95 % CI 17⋅3, 23⋅8). Elders who consumed low dietary diversity scores were strongly associated with undernutrition among older persons. Therefore, promoting appropriate intervention strategies for elders to improve dietary diversity practices and nutritional status is crucial.
Conservation and indigenous peoples’ struggles for livelihoods: Suba Park (Ethiopia)
Authors: Abate Gutema Gizachew 
Published: September 2023

SummaryContested from the early period of Menelik territorial expansion into the hinterlands of Addis Ababa, areas in the vicinity of Suba Park continue to be a bone of political contention in the context of the struggle of Oromo people against the expansion of the central state. A flashpoint is the Oromo protests (2014–2018) against federal state territorial expansion into the Oromo ethnic territory through a new Addis Ababa Master Plan that led to the deposition of Haile Mariam Desalegn and the installation of Abiy Amhed. I investigate how the state environmental policy maintained for extraction and conservation in the Suba forest between the late 1890s and 2018 affected the Tulama modes of land use related to their worldviews and their use of material, social, spiritual and symbolic values of land in the struggle for land and resource rights. I used ethnographic methods that included in-depth and semi-structured interviews, participant observations and document analysis to investigate long-standing and complex land-based conflicts in and around Suba Park. I show how simplifying state narratives of environmental policy entrenched in centralized state administration and exclusionist resource management schemes have reinforced a wider concern about indigenous land and resource rights and decentralized environmental governance.
The ‘imbroglio’ of ecocide: A political economic analysis
Authors: Cusato Eliana , Jones Emily 
Published: September 2023

AbstractIn this article we adopt a political economic lens to analyse the revival of the concept of ecocide in present international legal scholarship and practice. The current campaign to codify the crime of ecocide under international criminal law represents the epitome of a problem-solving approach, which conceives of the law as external to society and as a corrective to its evils. Yet, a large body of critical literature has drawn attention to the constitutive role of international law and to the problems with its depoliticized approach when it comes to tackling global injustices. We build upon this diverse scholarship to illuminate how the technical, acontextual, and ahistorical legal debate on the codification of ecocide ends up normalizing the violent structures of extractive capitalism and its hierarchies. Further, we situate the proposed crime within the wider context of how international law regulates and constitutes the natural world. Drawing on critiques of sustainable development and of business and human rights discourse, we argue that the ‘imbroglio’ of ecocide, in its current legal definition, lies in presenting ecological preservation and devastation as simultaneously legitimate aims. The article ultimately raises the question of the role of international law in progressive political agendas, a question that could not be more pressing in times of entangled socio-ecological-economic disruptions.
Using three consecutive years of farmer survey data to identify prevailing conservation practices in four Midwestern US states
Authors: Guo Tian , Marquart-Pyatt Sandra T. , Robertson G. Philip 
Published: September 2023

AbstractGranular temporal and spatial scale observations of conservation practices are essential for identifying changes in the production systems that improve soil health and water quality and inform long-term agricultural research and adaptive policy development. In this study, we demonstrate an innovative use of farmer practice survey data and what can be uniquely known from a detailed survey that targets specific farm groups with a regional focus over multiple consecutive years. Using three years of survey data (n= 3914 respondents), we describe prevailing crop rotation, tillage, and cover crop practice use in four Midwestern US states. Like national metrics, the results confirm dominant practices across the landscape, including corn-soybean rotation, little use of continuous no-till, and the limited use of cover crops. Our detailed regional survey further reveals differences by state for no-till and cover crop adoption rates that were not captured in federal datasets. For example, 66% of sampled acreage in the Midwest has corn and soybean rotation, with Illinois having the highest rate (72%) and Michigan the lowest (41%). In 2018, 20% of the corn acreage and 38% of the soybean acreage were in no-till, and 13% of the corn acres and 9% of the soybean acres were planted with a cover crop. Cover crop adoption rates fluctuate from year to year. Results demonstrate the value of a farmer survey at state scales over multiple years in complementing federal statistics and monitoring state and yearly differences in practice adoption. Agricultural policies and industry heavily depend on accurate and timely information that reflects spatial and temporal dynamics. We recommend building an agricultural information exchange and workforce that integrates diverse data sources with complementary strengths to provide a greater understanding of agricultural management practices that provide baseline data for prevailing practices.
Stochastic Model of a Granular Bed Splash
Authors: Łagodowski Z. A. , Gregosiewicz A. 
Published: September 2023

AbstractOur study aims to shed light on the physics behind the splash phenomenon caused by droplet impact onto a granular bed and to develop a reliable tool for predicting erosion and sediment transport in various natural and industrial settings. To achieve this, we construct a probabilistic model (based on simple physical assumptions) of particle splash resulting from the impact of a liquid droplet or solid intruder on a granular bed. The model is based on integer partition and provides a probability distribution of the number of ejected particles to arbitrary areas around the point of impact. We validate the model's predictions with experimental data to ensure its accuracy and reliability.
Nifuroxazide boosts the anticancer efficacy of palbociclib-induced senescence by dual inhibition of STAT3 and CDK2 in triple-negative breast cancer
Authors: Wang Xianzhe , Shi Wei , Wang Xumei , Lu Jin-Jian , He Ping , Zhang Hongjie , Chen Xiuping 
Published: September 2023

AbstractThough palbociclib, a cyclin-dependent kinases 4 and 6 (CDK4/6) inhibitor has been approved for treating breast cancer, two major clinical challenges remain: (i) Triple-negative breast cancer (TNBC) appears to be more resistant to palbociclib, and (ii) Palbociclib-induced senescence-associated secretory phenotype (SASP) has a pro-tumorigenic function. Here we report that combining palbociclib with the STAT3 inhibitor nifuroxazide uncouples SASP production from senescence-associated cell cycle exit. Moreover, we identified nifuroxazide as a CDK2 inhibitor that synergistically promotes palbociclib-induced growth arrest and senescence in TNBC cells. In vitro, the combination of nifuroxazide with palbociclib further inhibited the TNBC cell proliferation and enhanced palbociclib-induced cell cycle arrest and senescence. The modulation of palbociclib-induced SASP by nifuroxazide was associated with the reduction of phosphorylated-STAT3. Nifuroxazide also blocks SASP-dependent cancer cell migration. Furthermore, thermal shift assay and molecular docking of nifuroxazide with STAT3 and CDK2 revealed that it binds to their active sites and acts as a potent dual inhibitor. In vivo, the combination of nifuroxazide with palbociclib suppressed 4T1 tumor growth and lung metastasis. Our data suggest that nifuroxazide enhances the anticancer effects of palbociclib in TNBC by uncoupling SASP production from senescence-associated cell cycle exit and inhibiting CDK2 to promote tumor senescence.
A novel de novo canonical splice site mutation in the PTCH1 gene in a male patient with mild psychomotor retardation and autistic traits: a case report
Authors: Mashayekhi Parisa , Omrani Mir Davood , Tonekaboni Seyed Hasan , Dehghanifard Ali 
Published: September 2023

AbstractBasal cell nevus syndrome (BCNS), or Gorlin syndrome, is a rare autosomal dominant disorder caused by mutations in the tumor suppressor gene PTCH1 with complete penetrance and variable expressivity characterized by a broad spectrum of developmental anomalies and a predisposition to neoplasms. Herein, we report a novel de novo splice site mutation in the PTCH1 gene related to mild developmental delay and autistic traits in a 4-year-old male patient.
Deglycosylation of eukaryotic-expressed flagellin restores adjuvanticity
Authors: Khim Koemchhoy , Puth Sao , Radhakrishnan Kamalakannan , Nguyen Tien Duc , Lee Youn Suhk , Jung Che-Hun , Lee Shee Eun , Rhee Joon Haeng 
Published: September 2023

AbstractFlagellin, the TLR5 agonist, shows potent adjuvant activities in diverse vaccines and immunotherapies. Vibrio vulnificus flagellin B expressed in eukaryotic cells (eFlaB) could not stimulate TLR5 signaling. Enzymatic deglycosylation restored eFlaB’s TLR5 stimulating functionality, suggesting that glycosylation interferes with eFlaB binding to TLR5. Site-directed mutagenesis of N-glycosylation residues restored TLR5 stimulation and adjuvanticity. Collectively, deglycosylated eFlaB may provide a built-in adjuvant platform for eukaryotic-expressed antigens and nucleic acid vaccines.
A twenty-year dataset of high-resolution maize distribution in China
Authors: Peng Qiongyan , Shen Ruoque , Li Xiangqian , Ye Tao , Dong Jie , Fu Yangyang , Yuan Wenping 
Published: September 2023

AbstractChina is the world’s second-largest maize producer, contributing 23% to global production and playing a crucial role in stabilizing the global maize supply. Therefore, accurately mapping the maize distribution in China is of great significance for regional and global food security and international cereals trade. However, it still lacks a long-term maize distribution dataset with fine spatial resolution, because the existing high spatial resolution satellite datasets suffer from data gaps caused by cloud cover, especially in humid and cloudy regions. This study aimed to produce a long-term, high-resolution maize distribution map for China (China Crop Dataset–Maize, CCD-Maize) identifying maize in 22 provinces and municipalities from 2001 to 2020. The map was produced using a high spatiotemporal resolution fused dataset and a phenology-based method called Time-Weighted Dynamic Time Warping. A validation based on 54,281 field survey samples with a 30-m resolution showed that the average user’s accuracy and producer’s accuracy of CCD-Maize were 77.32% and 80.98%, respectively, and the overall accuracy was 80.06% over all 22 provinces.
Varying sex and identity of faces affects face categorization differently in humans and computational models
Authors: Bülthoff Isabelle , Manno Laura , Zhao Mintao 
Published: September 2023

AbstractOur faces display socially important sex and identity information. How perceptually independent are these facial characteristics? Here, we used a sex categorization task to investigate how changing faces in terms of either their sex or identity affects sex categorization of those faces, whether these manipulations affect sex categorization similarly when the original faces were personally familiar or unknown, and, whether computational models trained for sex classification respond similarly to human observers. Our results show that varying faces along either sex or identity dimension affects their sex categorization. When the sex was swapped (e.g., female faces became male looking, Experiment 1), sex categorization performance was different from that with the original unchanged faces, and significantly more so for people who were familiar with the original faces than those who were not. When the identity of the faces was manipulated by caricaturing or anti-caricaturing them (these manipulations either augment or diminish idiosyncratic facial information, Experiment 2), sex categorization performance to caricatured, original, and anti-caricatured faces increased in that order, independently of face familiarity. Moreover, our face manipulations showed different effects upon computational models trained for sex classification and elicited different patterns of responses in humans and computational models. These results not only support the notion that the sex and identity of faces are processed integratively by human observers but also demonstrate that computational models of face categorization may not capture key characteristics of human face categorization.
The association between dietary mineral intake and the risk of preeclampsia in Chinese pregnant women: a matched case–control study
Authors: Liu Yanhua , Wang Xinyi , Fu Wenjun , Cao Yuan , Dou Weifeng , Duan Dandan , Zhao Xianlan , Ma Shunping , Lyu Quanjun 
Published: September 2023

AbstractPrevious studies on the relationship between dietary minerals and preeclampsia (PE) have given inconsistent results. The aim of this study was to further clarify the relationship between dietary minerals intake and PE in Chinese pregnant women. In this study, 440 pairs of hospital–based preeclamptic and healthy women were matched 1:1. Dietary intake was obtained through a 78–item semi–quantitative food frequency questionnaire. Multivariate conditional logistic regression was used to estimate the odds ratios (ORs) and 95% confidence intervals (CIs). Restricted cubic splines were plotted to evaluate the dose–response relationship between dietary minerals intake and PE. This study found significant inverse associations for dietary intake of calcium, magnesium, phosphorus, iron, copper, manganese and zinc and the risk of PE in both univariate and multivariate models (all P- trend < 0.05). After adjusting for possible confounders, compared with the lowest quartile, the odds ratio of the highest quartile was 0.74 (95% CI 0.56–0.98) for calcium, 0.63 (95% CI 0.42–0.93) for magnesium, 0.45 (95% CI 0.31–0.65) for phosphorus, 0.44 (95% CI 0.30–0.65) for iron, 0.72 (95% CI 0.53–0.97) for copper, 0.66 (95% CI 0.48–0.91) for manganese and 0.38 (95% CI 0.25–0.57) for zinc. In addition, a reverse J–shaped relationship between dietary minerals intake and PE risk was observed (P–overall association < 0.05). In Chinese pregnant women, a higher intake of dietary minerals, including calcium, magnesium, phosphorus, copper, iron, manganese, and zinc was associated with a lower odds of PE.
Impacts of the North Atlantic biases on the upper troposphere/lower stratosphere over the extratropical North Pacific
Authors: Joshi Rajat , Zhang Rong 
Published: September 2023

AbstractThe winter upper troposphere/lower stratosphere temperature/vertical motion response over the extratropical North Pacific induced by North Atlantic changes is not well understood. Here, using robust diagnostic calculations conducted in a fully coupled high-resolution climate model, we correct the North Atlantic ocean circulation biases and show that during wintertime, the North Atlantic cold surface temperature biases lead to a warmer upper troposphere/lower stratosphere over the extratropical North Pacific. In the upper troposphere/lower stratosphere over the extratropical North Pacific, this winter warming temperature response is linked to the vertical motion response through a simple leading order thermodynamic relationship between changes in the horizontal advection and adiabatic heating. The upper troposphere/lower stratosphere vertical motion response, which is also associated with the North Atlantic induced Walker circulation response over the tropical North Pacific, can provide a rough estimation of the upper troposphere/lower stratosphere warming response over the extratropical North Pacific.