bluuebunny/crossref_metadata_2025_split huggingface dataset:
Does noise affect housing prices? A case study in the urban area of Thessaloniki
Authors: Kamtziridis Georgios , Vrakas Dimitris , Tsoumakas Grigorios 
Published: October 2023

AbstractReal estate markets depend on various methods to predict housing prices, including models that have been trained on datasets of residential or commercial properties. Most studies endeavor to create more accurate machine learning models by utilizing data such as basic property characteristics as well as urban features like distances from amenities and road accessibility. Even though environmental factors like noise pollution can potentially affect prices, the research around this topic is limited. One of the reasons is the lack of data. In this paper, we reconstruct and make publicly available a general purpose noise pollution dataset based on published studies conducted by the Hellenic Ministry of Environment and Energy for the city of Thessaloniki, Greece. Then, we train ensemble machine learning models, like XGBoost, on property data for different areas of Thessaloniki to investigate the way noise influences prices through interpretability evaluation techniques. Our study provides a new noise pollution dataset that not only demonstrates the impact noise has on housing prices, but also indicates that the influence of noise on prices significantly varies among different areas of the same city.
The Town Creek locale of Jackson, Mississippi, USA: Charles Lyell (1797–1875), exemplary fossils and a subsurface volcano
Authors: Clary Renee M. , Dockery David T. 
Published: October 2023

Abstract
The Town Creek locale in Jackson, Mississippi exposes fossiliferous strata through stream erosion and provides evidence for stratal doming atop an extinct volcano. Charles Lyell (1797–1875) investigated the locale on his second visit to North America (1845–46) and concluded that Town Creek fossils were older than Vicksburg fossils, and that strata dipped westward from Jackson. In the 1850s, Mississippi's state geologist Eugene Hilgard (1833–1916) recognized the first volcanic doming evidence and correctly concluded that a ‘local upheaval’ had elevated the Jackson area. Subsequent research revealed an extinct volcano as Jackson Dome's source, explaining the strata dip and Lyell's observation that Jackson's Eocene fossils were older than Vicksburg fossils, later identified as Oligocene. The Jackson fossiliferous strata, known today as the Moodys Branch Formation, exquisitely preserves fossils that have contributed to numerous scientific investigations. The Town Creek locale was threatened in 2003 when a proposed flood control project would have inundated it. Scientists rallied for the preservation of the geologically and historically important Town Creek, and today it remains as a geoheritage site available to scientists and the public, with a state historical marker noting its geological importance. Long-term preservation of the locale is needed but not guaranteed.
A Survey on Searchable Symmetric Encryption
Authors: Li Feng , Ma Jianfeng , Miao Yinbin , Liu Ximeng , Ning Jianting , Deng Robert H. 
Published: October 2023

Outsourcing data to the cloud has become prevalent, so Searchable Symmetric Encryption (SSE), one of the methods for protecting outsourced data, has arisen widespread interest. Moreover, many novel technologies and theories have emerged, especially for the attacks on SSE and privacy-preserving. But most surveys related to SSE concentrate on one aspect (e.g., single keyword search, fuzzy keyword search) or lack in-depth analysis. Therefore, we revisit the existing work and conduct a comprehensive analysis and summary. We provide an overview of state-of-the-art in SSE and focus on the privacy it can protect. Generally, (1) we study the work of the past few decades and classify SSE based on query expressiveness. Meanwhile, we summarize the existing schemes and analyze their performance on efficiency, storage space, index structures, and so on.; (2) we complement the gap in the privacy of SSE and introduce in detail the attacks and the related defenses; (3) we discuss the open issues and challenges in existing schemes and future research directions. We desire that our work will help novices to grasp and understand SSE comprehensively. We expect it can inspire the SSE community to discover more crucial leakages and design more efficient and secure constructions.
FormatFuzzer
: Effective Fuzzing of Binary File Formats
Authors: Dutra Rafael , Gopinath Rahul , Zeller Andreas 
Published: October 2023

Effective fuzzing of programs that process structured binary inputs, such as multimedia files, is a challenging task, since those programs expect a very specific input format. Existing fuzzers, however, are mostly
format-agnostic,
which makes them versatile, but also ineffective when a specific format is required.

We present
FormatFuzzer
, a generator for
format-specific fuzzers
.
FormatFuzzer
takes as input a
binary template
(a format specification used by the 010 Editor) and compiles it into C++ code that acts as
parser,
mutator,
and highly efficient
generator
of inputs conforming to the rules of the language.

The resulting format-specific fuzzer can be used as a standalone producer or mutator in black-box settings, where no guidance from the program is available. In addition, by providing mutable
decision seeds,
it can be easily
integrated
with arbitrary
format-agnostic fuzzers
such as AFL to make them format-aware. In our evaluation on complex formats such as MP4 or ZIP,
FormatFuzzer
showed to be a highly effective producer of valid inputs that also detected previously unknown memory errors in
ffmpeg
and
timidity
.
Delineating a Role for Methionine Metabolism in Colorectal Cancer
Authors: Liu Shiyu , Locasale Jason W. 
Published: October 2023

Abstract
Advances in mass spectrometry allow for broader applications of metabolomics in research and clinical applications. In a recent issue of Nature Metabolism, Vande Voorde and colleagues utilized metabolite profiling to investigate the metabolism of colorectal cancer in mouse models, organoids, and patients. This study underscores the utility of metabolomics in distinguishing colorectal cancer, offering potential for its use in precision medicine. It also revealed a pivotal role for adenosylhomocysteinase in the methionine cycle and highlighted its potential as a therapeutic target.
Integrating Clinical Cancer and PTM Proteomics Data Identifies a Mechanism of ACK1 Kinase Activation
Authors: Balasooriya Eranga R. , Madhusanka Deshan , López-Palacios Tania P. , Eastmond Riley J. , Jayatunge Dasun , Owen Jake J. , Gashler Jack S. , Egbert Christina M. , Bulathsinghalage Chanaka , Liu Lu , Piccolo Stephen R. , Andersen Joshua L. 
Published: October 2023

Abstract

Beyond the most common oncogenes activated by mutation (mut-drivers), there likely exists a variety of low-frequency mut-drivers, each of which is a possible frontier for targeted therapy. To identify new and understudied mut-drivers, we developed a machine learning (ML) model that integrates curated clinical cancer data and posttranslational modification (PTM) proteomics databases. We applied the approach to 62,746 patient cancers spanning 84 cancer types and predicted 3,964 oncogenic mutations across 1,148 genes, many of which disrupt PTMs of known and unknown function. The list of putative mut-drivers includes established drivers and others with poorly understood roles in cancer. This ML model is available as a web application. As a case study, we focused the approach on nonreceptor tyrosine kinases (NRTK) and found a recurrent mutation in activated CDC42 kinase-1 (ACK1) that disrupts the Mig6 homology region (MHR) and ubiquitin-association (UBA) domains on the ACK1 C-terminus. By studying these domains in cultured cells, we found that disruption of the MHR domain helps activate the kinase while disruption of the UBA increases kinase stability by blocking its lysosomal degradation. This ACK1 mutation is analogous to lymphoma-associated mutations in its sister kinase, TNK1, which also disrupt a C-terminal inhibitory motif and UBA domain. This study establishes a mut-driver discovery tool for the research community and identifies a mechanism of ACK1 hyperactivation shared among ACK family kinases.

Implications:
This research identifies a potentially targetable activating mutation in ACK1 and other possible oncogenic mutations, including PTM-disrupting mutations, for further study.
Impaired Cardiac and Skeletal Muscle Energetics Following Anthracycline Therapy for Breast Cancer
Authors: Gamble David T. , Ross James , Khan Hilal , Unger Andreas , Cheyne Lesley , Rudd Amelia , Saunders Fiona , Srivanasan Janaki , Kamya Sylvia , Horgan Graham , Hannah Andrew , Baliga Santosh , Tocchetti Carlo Gabriele , Urquhart Gordon , Linke Wolfgang A. , Masannat Yazan , Mustafa Ahmed , Fuller Mairi , Elsberger Beatrix , Sharma Ravi , Dawson Dana 
Published: October 2023

Background:
Anthracycline-related cardiac toxicity is a recognized consequence of cancer therapies. We assess resting cardiac and skeletal muscle energetics and myocyte, sarcomere, and mitochondrial integrity in patients with breast cancer receiving epirubicin.

Methods:

In a prospective, mechanistic, observational, longitudinal study, we investigated chemotherapy-naive patients with breast cancer receiving epirubicin versus sex- and age-matched healthy controls. Resting energetic status of cardiac and skeletal muscle (phosphocreatine/gamma ATP and inorganic phosphate [Pi]/phosphocreatine, respectively) was assessed with
31
P-magnetic resonance spectroscopy. Cardiac function and tissue characterization (magnetic resonance imaging and 2D-echocardiography), cardiac biomarkers (serum NT-pro-BNP and high-sensitivity troponin I), and structural assessments of skeletal muscle biopsies were obtained. All study assessments were performed before and after chemotherapy.

Results:

Twenty-five female patients with breast cancer (median age, 53 years) received a mean epirubicin dose of 304 mg/m
2
, and 25 age/sex-matched controls were recruited. Despite comparable baseline cardiac and skeletal muscle energetics with the healthy controls, after chemotherapy, patients with breast cancer showed a reduction in cardiac phosphocreatine/gamma ATP ratio (2.0±0.7 versus 1.1±0.5;
P
=0.001) and an increase in skeletal muscle Pi/phosphocreatine ratio (0.1±0.1 versus 0.2±0.1;
P
=0.022). This occurred in the context of increases in left ventricular end-systolic and end-diastolic volumes (
P
=0.009 and
P
=0.008, respectively), T1 and T2 mapping (
P
=0.001 and
P
=0.028, respectively) but with preserved left ventricular ejection fraction, mass and global longitudinal strain, and no change in cardiac biomarkers. There was preservation of the mitochondrial copy number in skeletal muscle biopsies but a significant increase in areas of skeletal muscle degradation (
P
=0.001) in patients with breast cancer following chemotherapy. Patients with breast cancer demonstrated a reduction in skeletal muscle sarcomere number from the prechemotherapy stage compared with healthy controls (
P
=0.013).

Conclusions:

Contemporary doses of epirubicin for breast cancer treatment result in a significant reduction of cardiac and skeletal muscle high-energy
31
P-metabolism alongside structural skeletal muscle changes.

REGISTRATION:

URL:
https://www.clinicaltrials.gov
; Unique identifier: NCT04467411
Impact of Calcium Eccentricity on the Safety and Effectiveness of Coronary Intravascular Lithotripsy: Pooled Analysis From the Disrupt CAD Studies
Authors: Ali Ziad A. , Kereiakes Dean J. , Hill Jonathan M. , Saito Shigeru , Di Mario Carlo , Honton Benjamin , Gonzalo Nieves , Riley Robert F. , Maehara Akiko , Matsumura Mitsuaki , Shin Doosup , Stone Gregg W. , Shlofmitz Richard A. 
Published: October 2023

BACKGROUND:
Coronary intravascular lithotripsy (IVL) safely facilitates successful stent implantation in severely calcified lesions. This analysis sought to determine the relative impact of lesion calcium eccentricity on the safety and effectiveness of IVL using high-resolution optical coherence tomography imaging.

METHODS:
Individual patient-level data (n=262) were pooled from 4 distinct international prospective studies (Disrupt CAD I, II, III, and IV) and analyzed by an independent optical coherence tomography core laboratory. IVL performance in eccentric versus concentric calcification was analyzed by dividing calcified lesions into quartiles (≤180° [most eccentric], 181°–270°, 271°–359°, and 360° [concentric]) by maximum continuous calcium arc.

RESULTS:
In the 230 patients with clear imaging field on optical coherence tomography, there were no differences in preprocedure minimum lumen area, diameter stenosis, or maximum calcium thickness. The calcium length and volume index increased progressively with increasing mean and maximum continuous calcium arc (ie, concentricity). Conversely, the minimum calcium thickness decreased progressively with increasing concentricity. Post-procedure, the number of calcium fractures, fracture depth, and fracture width increased with increasing concentricity, with a 4-fold increase in the number of fractures in lesions with 360° of calcium arc compared with ≤180°. This increase in IVL-induced calcium fracture with increasing calcium burden and concentricity facilitated stent expansion and luminal gain such that there were no significant differences across quartiles.

CONCLUSIONS:
IVL induced calcium fractures proportional to the magnitude of coronary artery calcium, including in eccentric calcium, leading to consistent improvements in stent expansion and luminal gain in both eccentric and concentric calcified coronary lesions.
Interdependence of “What” and “When” in the Brain
Authors: Ten Oever Sanne , Martin Andrea E. 
Published: October 2023

Abstract
From a brain's-eye-view, when a stimulus occurs and what it is are interrelated aspects of interpreting the perceptual world. Yet in practice, the putative perceptual inferences about sensory content and timing are often dichotomized and not investigated as an integrated process. We here argue that neural temporal dynamics can influence what is perceived, and in turn, stimulus content can influence the time at which perception is achieved. This computational principle results from the highly interdependent relationship of what and when in the environment. Both brain processes and perceptual events display strong temporal variability that is not always modeled; we argue that understanding—and, minimally, modeling—this temporal variability is key for theories of how the brain generates unified and consistent neural representations and that we ignore temporal variability in our analysis practice at the peril of both data interpretation and theory-building. Here, we review what and when interactions in the brain, demonstrate via simulations how temporal variability can result in misguided interpretations and conclusions, and outline how to integrate and synthesize what and when in theories and models of brain computation.
Attentional Modulation in Early Visual Cortex: A Focused Reanalysis of Steady-state Visual Evoked Potential Studies
Authors: Adamian Nika , Andersen Søren K. 
Published: October 2023

Abstract
Steady-state visual evoked potentials (SSVEPs) are a powerful tool for investigating selective attention. Here, we conducted a combined reanalysis of multiple studies employing this technique in a variety of attentional experiments to, first, establish benchmark effect sizes of attention on amplitude and phase of SSVEPs and, second, harness the power of a large data set to test more specific hypotheses. Data of eight published SSVEP studies were combined, in which human participants (n = 135 in total) attended to flickering random dot stimuli based on their defining features (e.g., location, color, luminance, or orientation) or feature conjunctions. The reanalysis established that, in all the studies, attention reliably enhanced amplitudes, with color-based attention providing the strongest effect. In addition, the latency of SSVEPs elicited by attended stimuli was reduced by ∼4 msec. Next, we investigated the modulation of SSVEP amplitudes in a subset of studies where two different features were attended concurrently. Although most models assume that attentional effects of multiple features are combined additively, our results suggest that neuronal enhancement provided by concurrent attention is better described by multiplicative integration. Finally, we used the combined data set to demonstrate that the increase in trial-averaged SSVEP amplitudes with attention cannot be explained by increased synchronization of single-trial phases. Contrary to the prediction of the phase-locking account, the variance across trials of complex Fourier coefficients increases with attention, which is more consistent with boosting of a largely phase-locked signal embedded in non-phase-locked noise.
Reward Accelerates the Preparation of Goal-directed Actions under Conflict
Authors: Adkins Tyler J. , Lee Taraz G. 
Published: October 2023

Abstract
Our goals sometimes conflict with our prepotent habitual responses, which often leads to impaired performance on a variety of tasks. People are better at exerting cognitive control to overcome prepotent and automatic responses when they are motivated by the prospect of reward. The standard experimental paradigms used to study this phenomenon examine free RTs that allow participants to select a variety of response strategies including delaying response initiation to avoid committing errors. However, this approach makes it difficult to determine which control processes are affected by reward. Does reward lead to improved performance via the inhibition of prepotent responses or the facilitation of goal-directed processing? Here, we use a forced-response paradigm to fix response initiation and systematically vary the time available for the cognitive processing necessary for response preparation. Using a probabilistic model that dissociates the preparation of habitual and goal-directed responses, we obtain evidence across multiple experiments (n = 87 people) that reward selectively accelerates the preparation of goal-directed actions in the context of conflict.
Transparent Minds in Science Fiction
Authors: Matthews Paul 
Published: October 2023

Transparent Minds explores the intersection between neuroscience and science fiction stories. Paul Matthews expertly analyses the narratives of humans and nonhumans from Mary Shelley to Kazuo Ishiguro across 200 years of the genre. In doing so he gives lucid insight into the meaning of existence and self-awareness. Rigorously researched and highly accessible, Matthews argues that psycho-emotional science fiction writers both imitate and inform alien and post-human consciousnesses through exploratory narratives and metaphor.
Drawing from a diverse range of scholars and critics, Matthews explores topics such as psychonarration and neuroaesthetics, to create a thoughtful and cogent argument. By synthesising concepts from philosophy, neuroscience, and literary theory, Matthews posits the potential for science fiction to bridge the gap in understanding between AI and human minds. Given the recent advancements in AI technology, Matthews’ timely discussion enters the speculative realm of sentient technology and postcyborg ethics.
The work constitutes a major contribution to cross-disciplinary perspectives on alien and posthuman psychology, that engages with future states of existence in both ourselves and the machines we create. Transparent Minds will be of interest to innovators, authors, and science fiction enthusiasts alike.
The World’s Largest Point Rainfall Found Using the Precipitation Intensity Duration Index
Authors: Wiuff Rasmus 
Published: October 2023

Abstract
World extremes in meteorology are important as they can be used as indicators for climate change. This was one of the main reasons for the creation of the World Meteorological Organization’s World Weather and Climate Extremes Archive in 2006. In contrast to temperature, for instance, which can be described by a single parameter, point rainfall must be described by two parameters, for example, precipitation depth and duration. This makes it difficult to directly compare different rainfall records. In this article, however, it is shown that the world’s greatest rainfall events, with durations ranging from 1 min to 2 years, all have nearly the same precipitation intensity duration index, a new dimensionless number. As a theoretical consequence, the intensity of all these record rainfalls is inversely proportional to the square root of their duration. This physically based result is consistent with earlier statistically based findings. The last measured record rainfall on the World Meteorological Organization’s record list is the point rainfall with the largest precipitation intensity duration index since 1860. This 4-day rainfall that began on 24 February 2007 on Cratère Commerson, Réunion Island, can be considered the largest point rainfall within documented records.

Significance Statement
Floods resulting from extreme rainstorms can be very costly and deadly; thus, understanding such extreme events is very important. Knowledge of extreme rainstorms is also important in determining how much and how fast our climate is changing. In this article, a new dimensionless number, the precipitation intensity duration index (PID) is presented. The world’s greatest point rainfall events, with durations ranging from 1 min to 2 years, all have nearly the same PID. One rainfall event, however, has a considerably larger PID than all others, namely, a 4-day rainfall that began on 24 February 2007 on Cratère Commerson, Réunion Island. Therefore, this rainfall can be considered the largest point rainfall within documented records.
Precursory Analysis Ensemble Spread Signals That Foreshadow Stratospheric Sudden Warmings
Authors: Yamazaki Akira , Noguchi Shunsuke 
Published: October 2023

Abstract
This study conducts a thorough investigation into the behaviors of analysis ensemble spreads linked to stratospheric sudden warming (SSW) events. A stratosphere-resolving ensemble data assimilation system is used here to document the evolution of analysis spread leading up to a pair of warming events. Precursory signals of the increased ensemble spreads were found a few days prior to two SSW events that occurred during December 2018 and August–September 2019 in the Northern and Southern Hemispheres, respectively. The signals appeared in the upper and middle stratosphere and did not appear at lower heights. When the signals appeared, it was found that both tendency by forecast and analysis increment in a forecast-analysis (data assimilation) cycle simultaneously became large. An empirical orthogonal function analysis showed that the dominant structures of the precursory signals were equivalent barotropic and were 90° out-of-phase with the analysis ensemble-mean field. Over the same period, the upper and middle stratosphere became more susceptible to barotropic instability than in their previous states. We conclude that the differing growth of barotropically unstable modes across ensemble members can amplify spread during the lead-up to SSW events.

Significance Statement
Winds in the winter stratospheric polar vortex are typically westerly. Occasionally, however, warming over the pole leads to a reversal of the flow through a process known as stratospheric sudden warming. These events are difficult to predict even in state-of-the-art analysis and forecasting systems. In this study, we identify a precursor signal in the form of increased ensemble spread that appears to originate from differing realizations of growing barotropic modes across the ensemble. This signal could serve as a useful forecasting tool by enhancing situational awareness in the lead-up to potential stratospheric sudden warming events.