bluuebunny/crossref_metadata_2025_split huggingface dataset:
Clear Cell Squamous Cell Carcinoma of the Maxillary Gingiva Associated with PIK3CA and HRAS Mutations: Report of a Case and Literature Review
Authors: Hirose Katsutoshi , Shibahara Takumi , Teramoto Akari , Usami Yu , Ono Sawako , Iwamoto Yuri , Murakami Shumei , Oya Kaori , Uzawa Narikazu , Motooka Daisuke , Hori Yumiko , Morii Eiichi , Toyosawa Satoru 
Published: September 2023

Abstract
Background
Squamous cell carcinoma (SCC) is the most common oral malignancy, and somatic mutations in some driver genes have been implicated in SCC development. Clear cell SCC (CCSCC) is a rare histological variant of SCC, and various clear cell neoplasms must be considered in the differential diagnosis of CCSCC in the oral cavity. Based on a limited number of CCSCC cases reported in the oral cavity, CCSCC is considered an aggressive variant of SCC with a poor prognosis; however, its genetic characteristics remain unknown.

Methods
A maxillary gingival tumor in an 89-year-old female was described and investigated using immunohistochemical staining, special staining, fluorescence in situ hybridization, and next-generation sequencing (NGS) with a custom panel of driver genes, including those associated with SCC and clear cell neoplasm development.

Results
Histopathological examination revealed a proliferation of atypical epithelial cells with abundant clear cytoplasm and enlarged and centrally placed round nuclei. The tumor was exophytic with deep, penetrating proliferation. The atypical clear cells were continuous with the conventional SCC cells. Immunohistochemical analysis showed that the clear cells were positive for CK AE1/AE3 and CK5/6 and nuclear-positive for p63. In contrast, the clear cells were negative for αSMA, S100, HMB45, Melan-A, CD10, and p16. p53 immunoreactivity exhibited a wild-type expression pattern. Additionally, the clear cells were positive for periodic acid-Schiff (PAS) and negative for diastase-PAS, mucicarmine, and Alcian blue. Based on these results, the diagnosis of CCSCC was confirmed. Molecular analysis of the clear cells identified PIK3CA p.E542K (c.1624G>A) and HRAS p.G12A (c.35 G>C) somatic mutations classified as oncogenic. No pathogenic variants were identified in TP53, EWSR1, AKT1, PTEN, BRAF, KRAS, NRAS, RASA1, or MAML2.

Conclusions
We report a case of CCSCC of the oral cavity with PIK3CA and HRAS mutations. The identification of PIK3CA and/or HRAS mutations is rare in SCC; however, both mutations are important potential targets for antitumor therapy. A detailed analysis of gene mutations in CCSCC may lead to a better understanding of its biological behavior and an improved prognosis, as well as a differential diagnosis from other clear cell neoplasms.
Doing Interdisciplinary Environmental Change Research Solo
Authors: Walters Bradley B. 
Published: September 2023

AbstractInterdisciplinary research on people, plants, and environmental change (IRPPE) typically requires collaboration among experts who each bring distinct knowledge and skills to bear on the questions at hand. The benefits and challenges of interdisciplinary research in principle are thus confounded by the dynamics of multidisciplinary collaboration in practice. However, broadly trained researchers can do IRPPE with little or no need of collaborators. For them, collaborative challenges may be negligible, but others arise. This paper reflects on experiences doing (mostly) solo research on peoples’ use of trees and their impacts on forests in the Caribbean and Philippines. Multidisciplinary collaborations are often plagued with problems of communication, theoretical disagreement, and methodological incompatibility because the habits and conceits of a rigorous disciplinary education are difficult to undo. These are problems that novel concepts, theory, and analytical frameworks promise but often fail to resolve. By contrast, going solo fosters an epistemic humility and pragmatic sensibility that encourages focused, efficient application of methods, and integration of research findings. Epistemic breadth encourages solo IRPPE researchers to apply theory sparingly and deploy clear concepts and precise analyses of the kind readily grasped by natural and social scientists and policy makers, alike.
M6A-mediated upregulation of HOXC10 promotes human hepatocellular carcinoma development through PTEN/AKT/mTOR signaling pathway
Authors: Li Miao , Guo Qianwen , Shi Qian , Rao Yanzhi , Dong Yixin , Chen Fangjie , Qi Xun 
Published: September 2023

AbstractHuman Hox genes (Homeobox) play a crucial role in embryonic development and cancer. The HOXC10 gene, a member of the HOX family, has been reported abnormally expressed in several cancers. However, the association between HOXC10 and hepatocellular carcinoma (HCC) remains to be elucidated. In the present study, tissue microarray cohort data showed that high levels of HOXC10 expression predicted a poor survival in HCC patients. Meanwhile, HOXC10 was significantly upregulated in the Huh7 cell line compared with the well differentiated cell line HepG2 and human normal liver cells. Functionally, silencing HOXC10 in Huh7 cells inhibited cell proliferation, increased apoptosis, and inhibited invasion and migration of HCC cells. HOXC10 overexpression in HepG2 cells increased cell proliferation, decreased apoptosis, and increased invasion and migration of HCC cells. In the HepG2 xenograft models, HOXC10 increased the tumor volume and weight compared with control. Mechanistically, the m6A modification of HOXC10 by METTL3 enhanced its expression by enhancing its mRNA stability. Both the in vitro and in vivo results showed that overexpressed HOXC10 activated the PTEN/AKT/mTOR pathway. In summary, the findings highlight the importance of HOXC10 in the regulation of HCC progression. HOXC10 is potentially a future therapeutic target for HCC treatment.
Quantification of the effect of environmental changes on the brownification of Lake Kukkia in southern Finland
Authors: Rankinen Katri , Junttila Virpi , Futter Martyn , Cano Bernal José Enrique , Butterfield Daniel , Holmberg Maria 
Published: September 2023

AbstractThe browning of surface waters due to the increased terrestrial loading of dissolved organic carbon is observed across the northern hemisphere. Brownification is often explained by changes in large-scale anthropogenic pressures (including acidification, and climate and land-use changes). We quantified the effect of environmental changes on the brownification of an important lake for birds, Kukkia in southern Finland. We studied the past trends of organic carbon loading from catchments based on observations taken since the 1990s. We created hindcasting scenarios for deposition, climate and land-use change in order to simulate their quantitative effect on brownification by using process-based models. Changes in forest cuttings were shown to be the primary reason for the brownification. According to the simulations, a decrease in deposition has resulted in a slightly lower leaching of total organic carbon (TOC). In addition, runoff and TOC leaching from terrestrial areas to the lake was smaller than it would have been without the observed increasing trend in temperature by 2 °C in 25 years.
Cognitive impairment caused by abdominal exposure with fluvalinate in the Western honey bee, Apis mellifera
Authors: Yun Yumi , Kim Hyun Jee , Lim Soo-Ho , Lee Jeong-Hyeon , Kwon Hyung Wook 
Published: September 2023

Abstracttau–Fluvalinate (fluvalinate) is a commonly used miticide (Varroa destructor), the major driver of colony collapse disorder (CCD), in the apicultural industry. Despite the relatively high tolerance of honey bees to this miticide, recent studies showed several adverse effects. The side effect on cognitive abilities, however, remains still elusive. Here, we aimed to investigate the effects of fluvalinate on the cognitive abilities of honey bees, especially associative learning, and memory. We tested the proboscis extension response (PER) to sugar taste and Pavlovian conditioning in forager bees that received a sub-lethal dose of fluvalinate on the abdomen. The current study demonstrated that sub-lethal fluvalinate induced cognitive impairment in bees. Furthermore, the comparison of gene expression patterns showed that this disorder was caused by changes in the energy metabolism associated with the subsets of specific neuropeptides that are indirectly involved in detoxification processes. Taken together, our findings are strong evidence that xenobiotics affect sensory cognition through indirect effects as well as direct damage. It might be applicable as a novel approach to exploring the mechanisms underlying the side effects of xenobiotics in various organisms.
Employing adaptive fuzzy computing for RCP intelligent control and fault diagnosis
Authors: Aboshosha Ashraf , Hamad Hisham A. 
Published: September 2023

AbstractLoss of coolant accident (LOCA), loss of fluid accident (LOFA), and loss of vacuum accident (LOVA) are the most severe accidents that can occur in nuclear power reactors (NPRs). These accidents occur when the reactor loses its cooling media, leading to uncontrolled chain reactions akin to a nuclear bomb. This article is focused on exploring methods to prevent such accidents and ensure that the reactor cooling system remains fully controlled. The reactor coolant pump (RCP) has a pivotal role in facilitating heat exchange between the primary cycle, which is connected to the reactor core, and the secondary cycle associated with the steam generator. Furthermore, the RCP is integral to preventing catastrophic events such as LOCA, LOFA, and LOVA accidents. In this study, we discuss the most critical aspects related to the RCP, specifically focusing on RCP control and RCP fault diagnosis. The AI-based adaptive fuzzy method is used to regulate the RCP’s speed and torque, whereas the neural fault diagnosis system (NFDS) is implemented for alarm signaling and fault diagnosis in nuclear reactors. To address the limitations of linguistic and statistical intelligence approaches, an integration of the statistical approach with fuzzy logic has been proposed. This integrated system leverages the strengths of both methods. Adaptive fuzzy control was applied to the VVER 1200 NPR-RCP induction motor, and the NFDS was implemented on the Kori-2 NPR-RCP.
Online Simulator-Based Experimental Design for Cognitive Model Selection
Authors: Aushev Alexander , Putkonen Aini , Clarté Grégoire , Chandramouli Suyog , Acerbi Luigi , Kaski Samuel , Howes Andrew 
Published: September 2023

AbstractThe problem of model selection with a limited number of experimental trials has received considerable attention in cognitive science, where the role of experiments is to discriminate between theories expressed as computational models. Research on this subject has mostly been restricted to optimal experiment design with analytically tractable models. However, cognitive models of increasing complexity with intractable likelihoods are becoming more commonplace. In this paper, we propose BOSMOS, an approach to experimental design that can select between computational models without tractable likelihoods. It does so in a data-efficient manner by sequentially and adaptively generating informative experiments. In contrast to previous approaches, we introduce a novel simulator-based utility objective for design selection and a new approximation of the model likelihood for model selection. In simulated experiments, we demonstrate that the proposed BOSMOS technique can accurately select models in up to two orders of magnitude less time than existing LFI alternatives for three cognitive science tasks: memory retention, sequential signal detection, and risky choice.
An Assessment of Trends in Parenting and Child Outcomes in a Rural South African Community and Consequent Intervention Design
Authors: Ward Catherine L. , Gould Chandré , Lake Marilyn T. , Mufamadi-Mathebula Diketso , Kleyn Lisa M. , Parker Warren , Dippenaar Wilmi 
Published: September 2023

AbstractThe high prevalence of child maltreatment requires innovative, scaleable solutions. Three community-wide surveys (2012, 2013, and 2016) in Touwsranten, South Africa, assessed parents’ positive parenting and corporal punishment; their mental health, substance misuse, parenting stress and intimate partner violence; children’s mental health; and interest in parenting support, in preparation for an intervention to support positive parenting. The first two surveys followed parents longitudinally. Focus group discussions were also held in 2017. Across surveys one and two, corporal punishment and positive parenting were reported as frequent. Child and parent mental health problems, parenting stress, intimate partner violence, and risky alcohol use increased across surveys 1 and 2 and remained steady at the third survey. Survey 3 revealed no change in corporal punishment, parent or child mental health, or intimate partner violence; reports of risky alcohol use and parenting stress increased; and there was a small increase in use of positive parenting strategies. Qualitative data suggested that corporal punishment, alcohol use, and intimate partner violence may have been under-reported. Parents indicated a desire for parenting support. The consequent intervention design included the delivery of four parenting programs alongside a social activation process intended to amplify the message of parenting programs, with the intention of increasing positive parenting and reducing corporal punishment community-wide.
Fermented milk supplemented with water-soluble curcumin ameliorates survival rate, selected biochemical parameters and fecal microbiota of Ehrlich ascites carcinoma-bearing mice
Authors: Abdelrazik Tay E. , Badr Abeer M. , Elshaghabee Fouad M. F. 
Published: September 2023

AbstractThis study assessed the impact of fermented cow and soy milk supplemented with curcumin on enhancement the health status of female Swiss mice under Ehrlich ascites carcinoma (EAC) condition. Both types of milk were fermented by Lactobacillus plantarum EMCC 1027. Ninety-five grams of basal diet mixed with five grams of either fermented cow or soy milk supplemented with curcumin. Induction of Ehrlich tumor-bearing mice synergized by intraperitoneal injection with 1 × 106 Ehrlich ascites tumor cells after one week of the adaptation period. Our results showed that levels of survival rate were increased to 117% in mice that were fed fermented cow and soy milk while supplementation of fermented soy milk with curcumin improved the survival rate to 150%. The concentration of glutathione and superoxide dismutase in Ehrlich tumor-bearing was increased after feeding with both types of fermented milk. Fermented soy milk supplemented with curcumin showed the highest reduction levels of plasma tumor necrosis factor (TNF)-α and interleukin-6. The relative gene expression TNF-α was also significantly (P < 0.05) down-regulated in mice that were fed fermented soy milk with curcumin. The viable count of lactobacilli and bifidobacteria in feces samples was increased when mice fed both types of fermented milk. Dietary feeding with fermented cow or soy milk supplemented with curcumin has an ameliorative impact on the survival rate, antioxidant capacity, inflammation, fecal microbiota in EAC mouse model. Further research is still needed to investigate the molecular mechanisms in this tumor.
Ethics by design for artificial intelligence
Authors: Brey Philip , Dainow Brandt 
Published: September 2023

Abstract
In this paper, we present an approach for the systematic and comprehensive inclusion of ethical considerations in the design and development process of artificial intelligence systems, called Ethics by Design for AI (EbD-AI). The approach is the result of a three-year long research effort, and has recently be adopted by the European Commission as part of its ethics review procedure for AI projects. We describe and explain the approach and its different components and its application to the development of AI software and systems. We also compare it to other approaches in AI ethics, and we consider limitations of the approach as well as potential criticisms.
The relative importance of carbon markets to the waste management sector’s future contribution to climate change commitments under the Paris Agreement: insights from Australia
Authors: Rossetto Daniel 
Published: September 2023

AbstractThis paper presents research that analyses the relative importance of carbon markets to sustainable waste management projects in Australia. It identifies that a large proportion of carbon credits issued have been generated by landfill to electricity projects, which effectively rely on the continuation of landfilling practices. More ambition is needed to realise the potential of circular solutions that reduce, recover and utilise waste before disposal.The research also shows that, through modelling the financial performance of two theoretical waste to energy projects that would result in diversion of waste from landfill, simultaneous use of revenue support mechanisms (carbon markets and renewable energy certificate programs), cost of capital support programs (like concessional finance) and avoided landfilling levies in the deployment of waste management projects can be justified. The paper illustrates the significant contribution carbon revenues can make to project additionality at the investment-decision stage, adding between 2–10% to ex-ante estimates of pre-tax equity returns. This shows that a project’s additionality is not invalidated in cases where it accesses more than one support mechanism.There are many policy and practice applications for these findings in Australia and globally. They include within ongoing international efforts to define modalities for the new Article 6.4 mechanism under the Paris Agreement, reforms to how developing countries access to climate finance (including, but not limited to, the Bridgetown Initiative 2.0 (The Bridgetown Initiative 2.0: https://www.un.org/sustainabledevelopment/blog/2023/04/press-release-with-clock-ticking-for-the-sdgs-un-chief-and-barbados-prime-minister-call-for-urgent-action-to-transform-broken-global-financial-system/)); and through the domestic policies and mechanisms countries adopt so they are fit-for-purpose to support implementation of Nationally Determined Contributions (NDC).
Private Criminal Justice
Authors: Simmons Ric 
Published: September 2023

The United States is in the midst of a significant re-evaluation of its criminal justice system, with increasing calls for reforming or defunding the police and efforts to curb mass incarceration. But focusing on the public criminal justice system paints an incomplete picture of how we address criminal activity. In Private Criminal Justice, Ric Simmons shows how significant amounts of criminal activity are detected by private police and how many disputes are settled, not in public courts, but through informal agreements between the victim and the accused or through adjudicative procedures run by private institutions. In this timely and eye-opening book, Simmons examines the vast, diverse, and under-appreciated private criminal justice system, suggesting reforms that can make these private responses more fair and revealing lessons the private criminal justice system can teach reformers of the public criminal justice system.
A Functional Analysis of Human Deception
Authors: KRSTIĆ VLADIMIR 
Published: September 2023

AbstractA satisfactory analysis of human deception must rule out cases where it is a mistake or an accident that person B was misled by person A's behavior. Therefore, most scholars think that deceivers must intend to deceive. This article argues that there is a better solution: rather than appealing to the deceiver's intentions, we should appeal to the function of their behavior. After all, animals and plants engage in deception, and most of them are not capable of forming intentions. Accordingly, certain human behavior is deceptive if and only if its function is to mislead. This solves our problem because if the function of A's behavior was to mislead, B's ending up misled was not an accident or a mere mistake even if A did not intend to deceive B.
Content-based image retrieval for industrial material images with deep learning and encoded physical properties
Authors: Shim Myung Seok , Thiele Christopher , Vila Jeremy , Saxena Nishank , Hohl Detlef 
Published: September 2023

Abstract
Industrial materials images are an important application domain for content-based image retrieval. Users need to quickly search databases for images that exhibit similar appearance, properties, and/or features to reduce analysis turnaround time and cost. The images in this study are 2D images of millimeter-scale rock samples acquired at micrometer resolution with light microscopy or extracted from 3D micro-CT scans. Labeled rock images are expensive and time-consuming to acquire and thus are typically only available in the tens of thousands. Training a high-capacity deep learning (DL) model from scratch is therefore not practicable due to data paucity. To overcome this “few-shot learning” challenge, we propose leveraging pretrained common DL models in conjunction with transfer learning. The “similarity” of industrial materials images is subjective and assessed by human experts based on both visual appearance and physical qualities. We have emulated this human-driven assessment process via a physics-informed neural network including metadata and physical measurements in the loss function. We present a novel DL architecture that combines Siamese neural networks with a loss function that integrates classification and regression terms. The networks are trained with both image and metadata similarity (classification), and with metadata prediction (regression). For efficient inference, we use a highly compressed image feature representation, computed offline once, to search the database for images similar to a query image. Numerical experiments demonstrate superior retrieval performance of our new architecture compared with other DL and custom-feature-based approaches.
Simulating the processes controlling ice-shelf rift paths using damage mechanics
Authors: Huth Alex , Duddu Ravindra , Smith Benjamin , Sergienko Olga 
Published: September 2023

AbstractRifts are full-thickness fractures that propagate laterally across an ice shelf. They cause ice-shelf weakening and calving of tabular icebergs, and control the initial size of calved icebergs. Here, we present a joint inverse and forward computational modeling framework to capture rifting by combining the vertically integrated momentum balance and anisotropic continuum damage mechanics formulations. We incorporate rift–flank boundary processes to investigate how the rift path is influenced by the pressure on rift–flank walls from seawater, contact between flanks, and ice mélange that may also transmit stress between flanks. To illustrate the viability of the framework, we simulate the final 2 years of rift propagation associated with the calving of tabular iceberg A68 in 2017. We find that the rift path can change with varying ice mélange conditions and the extent of contact between rift flanks. Combinations of parameters associated with slower rift widening rates yield simulated rift paths that best match observations. Our modeling framework lays the foundation for robust simulation of rifting and tabular calving processes, which can enable future studies on ice-sheet–climate interactions, and the effects of ice-shelf buttressing on land ice flow.