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10



ASSESSING GPT-4 FOR CELL TYPE ANNOTATION IN SINGLE-CELL RNA-SEQ ANALYSIS

Wenpin Hou et al.Mar 31, 2024
Abstract Here we demonstrate that the large language model GPT-4 can accurately
annotate cell types using marker gene information in single-cell RNA sequencing
analysis. When evaluated across hundreds of tissue and cell types, GPT-4
generates cell type annotations exhibiting strong concordance with manual
annotations. This capability can considerably reduce the effort and expertise
required for cell type annotation. Additionally, we have developed an R software
package GPTCelltype for GPT-4’s automated cell type annotation.

Rna-seq
Computational Biology
Annotation
10

Paper
Rna-seq
Computational Biology
Annotation
6 Comments
6



HOW CAN INNOVATIVE ELECTROSPINNING TECHNIQUES CONTRIBUTE TO ADVANCING BIOMIMETIC
SCAFFOLDS IN TISSUE ENGINEERING, AND WHAT POTENTIAL DO THESE DEVELOPMENTS HOLD
FOR REGENERATIVE MEDICINE?

Stefano SerpelloniMar 30, 2024
In the field of tissue engineering and regenerative medicine, the search for
scaffolds that faithfully mimic the natural extracellular matrix (ECM)
represents a fundamental challenge. Cell adhesion, proliferation and
differentiation are essential aspects for the successful integration of
engineered tissues. The intricate architecture of the ECM plays a fundamental
role in cellular behaviors and traditional methods of scaffold fabrication often
fail to replicate the complex hierarchical structures present in natural
tissues, thus leading to unsatisfactory results. Electrospinning has emerged as
a promising technique to produce fibrous scaffolds with ECM-like
characteristics, reproducing various essential features, including in
particular, interconnected porosity. However, electrospinning is not a simple
technique to use due to an objective difficulty in being able to control the
fiber orientation, distribution and overall architecture of the scaffold. In
this context, Cho et al. in their study, managed to obtain decidedly promising
results in terms of controlling the conditions and properties of the electrospun
scaffolds. Characteristics were very similar to those necessary for the
regeneration of bone tissue. Starting from solutions of this type it would be
interesting to understand if it was possible to apply similar procedures to
different tissues, perhaps using other materials with different mechanical
properties depending on the mechanical stresses to which they need to withstand.
In this framework, what are the potential challenges in moving this technology
from the laboratory to clinical applications, and how might they be addressed?
What are the potential immunological responses to these scaffolds when implanted
in vivo and how can they be designed to minimize adverse reactions?
Tissue Engineering
Regenerative Medicine
6

Question
Tissue Engineering
Regenerative Medicine
10 Comments
2



CRISPR SCREENS AND SYNTHETIC LETHALITY IN CANCER?

Nick OldbergApr 1, 2024
Is anyone in here currently working on drug development in the context of
synthetic lethality?For the uninitiated, synthetic lethality is where a mutation
in two genes at the same time causes cell death, while a mutation in either gene
alone does not. These present a neat way to target cancer if one of the genes is
mutated, since targeting the other can be minimal in its effects on normal cells
however this therapy will be very effective against the cancer cells. I'm
curious, in your endeavors, is a CRISPR screen still the most commonly used
method? How can this search be narrowed to specific types of proteins which may
be druggable, instead of a fishing expedition which may turn up any number of
potential targets?
Biochemistry
Oncology
Drug Development
2

Question
50 RSC
50 RSC
≈ $31.46
Biochemistry
Oncology
Drug Development
1 Comment
6



TARGETING DCAF5 SUPPRESSES SMARCB1-MUTANT CANCER BY STABILIZING SWI/SNF

Sandi Radko-Juettner et al.Mar 30, 2024
Whereas oncogenes can potentially be inhibited with small molecules, the loss of
tumour suppressors is more common and is problematic because the
tumour-suppressor proteins are no longer present to be targeted. Notable
examples include SMARCB1-mutant cancers, which are highly lethal malignancies
driven by the inactivation of a subunit of SWI/SNF (also known as BAF)
chromatin-remodelling complexes. Here, to generate mechanistic insights into the
consequences of SMARCB1 mutation and to identify vulnerabilities, we contributed
14 SMARCB1-mutant cell lines to a near genome-wide CRISPR screen as part of the
Cancer Dependency Map Project1–3. We report that the little-studied gene
DDB1–CUL4-associated factor 5 (DCAF5) is required for the survival of
SMARCB1-mutant cancers. We show that DCAF5 has a quality-control function for
SWI/SNF complexes and promotes the degradation of incompletely assembled SWI/SNF
complexes in the absence of SMARCB1. After depletion of DCAF5, SMARCB1-deficient
SWI/SNF complexes reaccumulate, bind to target loci and restore SWI/SNF-mediated
gene expression to levels that are sufficient to reverse the cancer state,
including in vivo. Consequently, cancer results not from the loss of SMARCB1
function per se, but rather from DCAF5-mediated degradation of SWI/SNF
complexes. These data indicate that therapeutic targeting of ubiquitin-mediated
quality-control factors may effectively reverse the malignant state of some
cancers driven by disruption of tumour suppressor complexes.

6

Paper

9 Comments
7



COGNITIVE OUTCOMES IN PATIENTS WITH ESSENTIAL TREMOR TREATED WITH DEEP BRAIN
STIMULATION: A SYSTEMATIC REVIEW

Jamal Ali et al.Mar 29, 2024
Introduction Essential tremor (ET) is a common neurological disease. Deep brain
stimulation (DBS) to the thalamic ventral intermediate nucleus (VIM) or the
adjacent structures, such as caudal zona incerta/ posterior subthalamic area
(cZi/PSA), can be effective in treating medication refractory tremor. However,
it is not clear whether DBS can cause cognitive changes, in which domain, and to
what extent if so. Methods We systematically searched PubMed and the Web of
Science for available publications reporting on cognitive outcomes in patients
with ET who underwent DBS following the PICO (population, intervention,
comparators, and outcomes) concept. The PRISMA guideline for systematic reviews
was applied. Results Twenty relevant articles were finally identified and
included for review, thirteen of which were prospective (one also randomized)
studies and seven were retrospective. Cognitive outcomes included attention,
memory, executive function, language, visuospatial function, and mood-related
variables. VIM and cZi/PSA DBS were generally well tolerated, although verbal
fluency and language production were affected in some patients. Additionally,
left-sided VIM DBS was associated with negative effects on verbal abstraction,
word recall, and verbal memory performance in some patients. Conclusion
Significant cognitive decline after VIM or cZi/PSA DBS in ET patients appears to
be rare. Future prospective randomized controlled trials are needed to
meticulously study the effect of the location, laterality, and stimulation
parameters of the active contacts on cognitive outcomes while considering
possible medication change post-DBS, timing, standard neuropsychological
battery, practice effects, the timing of assessment, and effect size as
potential confounders.

Deep Brain Stimulation
Essential Tremor
Cognition
7

Paper
Deep Brain Stimulation
Essential Tremor
Cognition
8 Comments
3



INCREASED GLOBAL INTEGRATION IN THE BRAIN AFTER PSILOCYBIN THERAPY FOR
DEPRESSION

Richard Daws et al.Mar 30, 2024
Psilocybin therapy shows antidepressant potential, but its therapeutic actions
are not well understood. We assessed the subacute impact of psilocybin on brain
function in two clinical trials of depression. The first was an open-label trial
of orally administered psilocybin (10 mg and 25 mg, 7 d apart) in patients with
treatment-resistant depression. Functional magnetic resonance imaging (fMRI) was
recorded at baseline and 1 d after the 25-mg dose. Beck's depression inventory
was the primary outcome measure ( MR/J00460X/1 ). The second trial was a
double-blind phase II randomized controlled trial comparing psilocybin therapy
with escitalopram. Patients with major depressive disorder received either 2 ×
25 mg oral psilocybin, 3 weeks apart, plus 6 weeks of daily placebo ('psilocybin
arm') or 2 × 1 mg oral psilocybin, 3 weeks apart, plus 6 weeks of daily
escitalopram (10-20 mg) ('escitalopram arm'). fMRI was recorded at baseline and
3 weeks after the second psilocybin dose ( NCT03429075 ). In both trials, the
antidepressant response to psilocybin was rapid, sustained and correlated with
decreases in fMRI brain network modularity, implying that psilocybin's
antidepressant action may depend on a global increase in brain network
integration. Network cartography analyses indicated that 5-HT2A receptor-rich
higher-order functional networks became more functionally interconnected and
flexible after psilocybin treatment. The antidepressant response to escitalopram
was milder and no changes in brain network organization were observed.
Consistent efficacy-related brain changes, correlating with robust
antidepressant effects across two studies, suggest an antidepressant mechanism
for psilocybin therapy: global increases in brain network integration.

Psilocybin
Escitalopram
Antidepressant
3

Paper
Psilocybin
Escitalopram
Antidepressant
5 Comments
3



SOLID OXIDE FUEL CELLS (SOFCS): A REVIEW OF AN ENVIRONMENTALLY CLEAN AND
EFFICIENT SOURCE OF ENERGY

A. Stambouli et al.Mar 31, 2024
The generation of energy by clean, efficient and environmental-friendly means is
now one of the major challenges for engineers and scientists. Fuel cells convert
chemical energy of a fuel gas directly into electrical work, and are efficient
and environmentally clean, since no combustion is required. Moreover, fuel cells
have the potential for development to a sufficient size for applications for
commercial electricity generation. This paper outlines the acute global
population growth and the growing need and use of energy and its consequent
environmental impacts. The existing or emerging fuel cells’ technologies are
comprehensively discussed in this paper. In particular, attention is given to
the design and operation of Solid Oxide Fuel Cells (SOFCs), noting the
restrictions based on materials’ requirements and fuel specifications. Moreover,
advantages of SOFCs with respect to the other fuel cell technologies are
identified. This paper also reviews the limitations and the benefits of SOFCs in
relationship with energy, environment and sustainable development. Few potential
applications, as long-term potential actions for sustainable development, and
the future of such devices are discussed.
Electricity Generation
Work (Physics)
Electricity
3

Paper
Electricity Generation
Work (Physics)
Electricity
1 Comment
2



PGC-1Α EXPRESSION DECREASES IN THE ALZHEIMER DISEASE BRAIN AS A FUNCTION OF
DEMENTIA

Weiping Qin et al.Apr 1, 2024
To explore mechanisms through which altered peroxisome proliferator-activated
receptor gamma coactivator 1alpha (PGC-1alpha) expression may influence
Alzheimer disease (AD) amyloid neuropathology and to test the hypothesis that
promotion of PGC-1alpha expression in neurons might be developed as a novel
therapeutic strategy in AD.Case-control. Patients Human postmortem brain
(hippocampal formation) samples from AD cases and age-matched non-AD cases.Using
genome-wide complementary DNA microarray analysis, we found that PGC-1alpha
messenger RNA expression was significantly decreased as a function of
progression of clinical dementia in the AD brain. Following confirmatory
real-time polymerase chain reaction assay, we continued to explore the role of
PGC-1alpha in clinical dementia and found that PGC-1alpha protein content was
negatively associated with both AD-type neuritic plaque pathology and
beta-amyloid (Abeta)(X-42) contents. Moreover, we found that the predicted
elevation of amyloidogenic Abeta(1-42) and Abeta(1-40) peptide accumulation in
embryonic cortico-hippocampal neurons derived from Tg2576 AD mice under
hyperglycemic conditions (glucose level, 182-273 mg/dL) coincided with a
dose-dependent attenuation in PGC-1alpha expression. Most importantly, we found
that the reconstitution of exogenous PGC-1alpha expression in Tg2576 neurons
attenuated the hyperglycemic-mediated beta-amyloidogenesis through mechanisms
involving the promotion of the "nonamyloidogenic" alpha-secretase processing of
amyloid precursor protein through the attenuation of the forkheadlike
transcription factor 1 (FoxO3a) expression.Therapeutic preservation of neuronal
PGC-1alpha expression promotes the nonamyloidogenic processing of amyloid
precursor protein precluding the generation of amyloidogenic Abeta peptides.
Hippocampal Formation
Amyloid Precursor Protein
Alzheimer's Disease
2

Paper
Hippocampal Formation
Amyloid Precursor Protein
Alzheimer's Disease
2 Comments
5



EVIDENCE FOR CHIRAL GRAVITON MODES IN FRACTIONAL QUANTUM HALL LIQUIDS

Jiehui Liang et al.Mar 28, 2024
Exotic physics could emerge from interplay between geometry and correlation. In
fractional quantum Hall (FQH) states1, novel collective excitations called
chiral graviton modes (CGMs) are proposed as quanta of fluctuations of an
internal quantum metric under a quantum geometry description2–5. Such modes are
condensed-matter analogues of gravitons that are hypothetical spin-2 bosons.
They are characterized by polarized states with chirality6–8 of +2 or −2, and
energy gaps coinciding with the fundamental neutral collective excitations
(namely, magnetorotons9,10) in the long-wavelength limit. However, CGMs remain
experimentally inaccessible. Here we observe chiral spin-2 long-wavelength
magnetorotons using inelastic scattering of circularly polarized lights,
providing strong evidence for CGMs in FQH liquids. At filling factor v = 1/3, a
gapped mode identified as the long-wavelength magnetoroton emerges under a
specific polarization scheme corresponding to angular momentum S = −2, which
persists at extremely long wavelength. Remarkably, the mode chirality remains −2
at v = 2/5 but becomes the opposite at v = 2/3 and 3/5. The modes have
characteristic energies and sharp peaks with marked temperature and
filling-factor dependence, corroborating the assignment of long-wavelength
magnetorotons. The observations capture the essentials of CGMs and support the
FQH geometrical description, paving the way to unveil rich physics of quantum
metric effects in topological correlated systems.

5

Paper

7 Comments
5



OBSERVATION OF SEVEN ASTROPHYSICAL TAU NEUTRINO CANDIDATES WITH ICECUBE

IceCube CollaborationMar 28, 2024
We report on a measurement of astrophysical tau neutrinos with 9.7 years of
IceCube data. Using convolutional neural networks trained on images derived from
simulated events, seven candidate $\nu_\tau$ events were found with visible
energies ranging from roughly 20 TeV to 1 PeV and a median expected parent
$\nu_\tau$ energy of about 200 TeV. Considering backgrounds from astrophysical
and atmospheric neutrinos, and muons from $\pi^\pm/K^\pm$ decays in atmospheric
air showers, we obtain a total estimated background of about 0.5 events,
dominated by non-$\nu_\tau$ astrophysical neutrinos. Thus, we rule out the
absence of astrophysical $\nu_\tau$ at the $5\sigma$ level. The measured
astrophysical $\nu_\tau$ flux is consistent with expectations based on
previously published IceCube astrophysical neutrino flux measurements and
neutrino oscillations.

Neutrino
Physics
Tau Neutrino
5

Paper
Neutrino
Physics
Tau Neutrino
13 Comments
5



DARK MATTER INDUCED POWER IN QUANTUM DEVICES

Anirban Das et al.Mar 28, 2024
We point out that power measurements of single quasiparticle devices open a new
avenue to detect dark matter (DM). The threshold of these devices is set by the
Cooper pair binding energy, and is therefore so low that they can detect DM as
light as about an MeV incoming from the Galactic halo, as well as the
low-velocity thermalized DM component potentially present in the Earth. Using
existing power measurements with these new devices, as well as power
measurements with SuperCDMS-CPD, we set new constraints on the spin-independent
DM scattering cross section for DM masses from about 10 MeV to 10 GeV. We
outline future directions to improve sensitivity to both halo DM and a
thermalized DM population in the Earth using power deposition in quantum
devices.

Dark Matter
Physics
Quantum
5

Paper
Dark Matter
Physics
Quantum
4 Comments
3



LEARNING CRITICALLY DRIVES PARKINSONIAN MOTOR DEFICITS THROUGH IMBALANCED
STRIATAL PATHWAY RECRUITMENT

T. Cheung et al.Mar 31, 2024
Dopamine (DA) loss in Parkinson’s disease (PD) causes debilitating motor
deficits. However, dopamine is also widely linked to reward prediction and
learning, and the contribution of dopamine-dependent learning to movements that
are impaired in PD—which often do not lead to explicit rewards—is unclear. Here,
we used two distinct motor tasks to dissociate dopamine’s acute motoric effects
vs. its long-lasting, learning-mediated effects. In dopamine-depleted mice,
motor task performance gradually worsened with task exposure. Task experience
was critical, as mice that remained in the home cage during the same period were
relatively unimpaired when subsequently probed on the task. Repeated dopamine
replacement treatments acutely rescued deficits and gradually induced long-term
rescue that persisted despite treatment withdrawal. Surprisingly, both long-term
rescue and parkinsonian performance decline were task specific, implicating
dopamine-dependent learning. D1R activation potently induced acute rescue that
gradually consolidated into long-term rescue. Conversely, reduced D2R activation
potently induced parkinsonian decline. In dopamine-depleted mice, either D1R
activation or D2R activation prevented parkinsonian decline, and both restored
balanced activation of direct vs. indirect striatal pathways. These findings
suggest that reinforcement and maintenance of movements—even movements not
leading to explicit rewards—are fundamental functions of dopamine and provide
potential mechanisms for the hitherto unexplained “long-duration response” by
dopaminergic therapies in PD.
Dopamine
Dopaminergic
Neuroscience
3

Paper
Dopamine
Dopaminergic
Neuroscience
1 Comment
5



ENERGY PERFORMANCE AND CLIMATE DEPENDENCY OF TECHNOLOGIES FOR FRESH WATER
PRODUCTION FROM ATMOSPHERIC WATER VAPOUR

Robin Peeters et al.Mar 27, 2024
Extraction of water vapour from atmospheric air and condensing it to liquid
water for human usage is an imaginative solution to the water scarcity problem.
Atmospheric water vapour is a large and readily accessible fresh water source
able to fulfil human water needs. Many systems that draw water vapour from the
air with water collecting surfaces, desiccant materials such as zeolites, silica
gels, MOFs, polymers and salts and aids such as membranes have been proposed.
Much progress has been made in increasing water harvesting efficiency, reducing
cost and improving applicability especially in the extreme atmospheric
conditions of arid regions. But all these systems are energy intensive and this
energy demand for water production is an important element of the water-energy
nexus. In this paper the intrinsic energy requirements of water vapour capturing
processes in different atmospheric conditions are quantified as the specific
water yield (L kW−1 h−1). Distinction is made between passive systems that use
natural phenomena like solar energy directly, and active systems with human
transformation of the energy vector. The generation of thermoelectric energy
involves water use and may even lead to overall water consumption instead of
production. Technologies involving air cooling to provoke condensation of the
water vapour reach specific water yields of 1–4 L kW−1 h−1 but their application
is strongly dependent on atmospheric conditions. A specific water yield of 0.1–1
L kW−1 h−1 is commonly achieved for an ad/absorption–desorption cycle with a
desiccant material. Depending on climate conditions, either passive systems with
desiccants or active cooling of condensation surfaces is energy wise the optimum
choice. The intrinsic energy requirements of atmospheric water harvesting are
more than hundred times larger than seawater desalination. Fundamentally new
concepts are needed to make atmospheric water an
Environmental Science
Dependency (Uml)
Energy (Signal Processing)
5

Paper
30 RSC
30 RSC
≈ $18.88
Environmental Science
Dependency (Uml)
Energy (Signal Processing)
15 Comments
2



MULTI-DIMENSIONAL SCMA CODEBOOK DESIGN BASED ON CONSTELLATION ROTATION AND
INTERLEAVING

Donghong Cai et al.Mar 29, 2024
Sparse code multiple access (SCMA) is a new non- orthogonal multiple access
scheme, which effectively exploits the shaping gain of multi-dimensional
codebook. In this paper, a multi-dimensional SCMA (MD-SCMA) codebook design
based on constellation rotation and interleaving method is proposed for downlink
SCMA systems. In particular, the first dimension of mother constellation is
constructed by subset of lattice Z <sup
xmlns:mml="http://www.w3.org/1998/Math/MathML"
xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> . Then the other dimensions
are obtained by rotating the first dimension. Further, the interleaving is used
for even dimensions to improve the performance in fading channels. In this way,
we can design different codebooks for the aim of spectral efficiency or power
efficiency. And the simulation results show that the bit error rate (BER)
performance of MD-SCMA codebooks outperforms that of the existing SCMA codebooks
and low density signature (LDS) in downlink Rayleigh fading channels.
Codebook
Interleaving
Telecommunications Link
2

Paper
Codebook
Interleaving
Telecommunications Link
-1 Comments
3



EARTHQUAKE ANALYSIS OF CONCRETE GRAVITY DAMS INCLUDING BASE SLIDING

Juan Chávez et al.Mar 28, 2024
Abstract A numerical method, the hybrid frequency‐time domain (HFTD) procedure,
is used to compute the earthquake response of concrete gravity dams, including
sliding along the interface between the dam base and the foundation rock. The
solution procedure accounts for the non‐linear base sliding behaviour and the
frequency‐dependent response of the impounded water and flexible foundation
rock. A Coulomb friction model represents the force‐displacement relationship
for sliding at the base interface. Using the solution procedure, an analysis of
a typical dam (122 m high) shows that base sliding will occur during a moderate
earthquake but the sliding displacement will be a tolerable amount when
dam‐foundation rock interaction is considered.
Foundation (Evidence)
Gravity Dam
Structural Engineering
3

Paper
Foundation (Evidence)
Gravity Dam
Structural Engineering
5 Comments
2



CONSIDERING THIS APPROACH TO STIMULATE THE AGING IMMUNE SYSTEM, WHAT ARE THE
IMPLICATIONS FOR THE REST OF THE BODY AND ITS FUNCTIONS? HOW COULD THIS APPROACH
BE TRANSLATED TO HUMANS?

Federica GiordanoMar 28, 2024
Scientists rejuvenate immune systems in old miceI found this Nature paper very
interesting. They discuss recent findings on how it has been shown that the
aging immune system has a reduced ability to react and fight infections. This
appears to be linked to the change in hematopoietic stem cells in the
marrow.Consequently, there is an imbalance in the production of the various
subtypes of immune cells, which generates an effect on the defense mechanisms
against pathogens. In this paper they demonstrate how researchers managed to
rebalance these cellular subpopulations thanks to the administration of
antibodies, rejuvenating the immune system of older mice and their ability to
resist viral infections. This approach suggests new potential therapeutic
strategies to support and improve the immune response in older adults.DOI
https://doi.org/10.1038/s41586-024-07238-x Considering this approach to
stimulate the aging immune system, what are the implications for the rest of the
body and its functions? Does it have a broad-spectrum action? How could this
approach be translated to humans? What limitations must be overcome to ensure
effectiveness and safety?Related supporting referencesRef 1 DOI
https://doi.org/10.1038/s41590-017-0006-xREF 2 DOI
https://doi.org/10.1186/s12979-023-00403-2
Immunology
Immunity
Cellular Aging
2

Question
Immunology
Immunity
Cellular Aging
4 Comments
4



INTEGRATED LITHIUM NIOBATE MICROWAVE PHOTONIC PROCESSING ENGINE

Hanke Feng et al.Mar 26, 2024
Integrated microwave photonics is an intriguing field that leverages integrated
photonic technologies for the generation, transmission, and manipulation of
microwave signals in chip-scale optical systems. In particular, ultrafast
processing and computation of analog electronic signals in the optical domain
with high fidelity and low latency could enable a variety of applications such
as MWP filters, microwave signal processing, and image recognition. An ideal
photonic platform for achieving these integrated MWP processing tasks shall
simultaneously offer an efficient, linear and high-speed electro-optic
modulation block to faithfully perform microwave-optic conversion at low power,
and a low-loss functional photonic network that can be configured for a variety
of signal processing tasks, as well as large-scale, low-cost manufacturability
to monolithically integrate the two building blocks on the same chip. In this
work, we demonstrate such an integrated MWP processing engine based on a
thin-film lithium niobate platform capable of performing multi-purpose
processing and computation tasks of analog signals up to 92 giga samples per
second at CMOS-compatible voltages. We demonstrate high-speed analog
computation, i.e., first- and second-order temporal integration and
differentiation with computing accuracies up to 98.1 %, and deploy these
functions to showcase three proof-of-concept applications, namely, ordinary
differential equation solving, ultra-wideband signal generation and high-speed
edge detection of images. We further leverage the image edge detector to enable
a photonic-assisted image segmentation model that could effectively outline the
boundaries of melanoma lesion in medical diagnostic images, achieving orders of
magnitude faster processing speed and lower power consumption than conventional
electronic processors.

Computer Science
Photonics
Signal Processing
4

Paper
Computer Science
Photonics
Signal Processing
15 Comments
1



TWO-LOOP RENORMALIZATION OF QUANTUM GRAVITY SIMPLIFIED

Zvi Bern et al.Mar 30, 2024
The coefficient of the dimensionally regularized two-loop ${R}^{3}$ divergence
of (nonsupersymmetric) gravity theories has recently been shown to change when
nondynamical three-forms are added to the theory, or when a pseudoscalar is
replaced by the antisymmetric two-form field to which it is dual. This
phenomenon involves evanescent operators, whose matrix elements vanish in four
dimensions, including the Gauss-Bonnet operator which is also connected to the
trace anomaly. On the other hand, these effects appear to have no physical
consequences for renormalized scattering processes. In particular, the
dependence of the two-loop four-graviton scattering amplitude on the
renormalization scale is simple. We explain this result for any
minimally-coupled massless gravity theory with renormalizable matter
interactions by using unitarity cuts in four dimensions and never invoking
evanescent operators.
Physics
Unitarity
Renormalization
1

Paper
Physics
Unitarity
Renormalization
1 Comment
2



SONG LYRICS HAVE BECOME SIMPLER AND MORE REPETITIVE OVER THE LAST FIVE DECADES

Emilia Parada-Cabaleiro et al.Mar 29, 2024
Music is ubiquitous in our everyday lives, and lyrics play an integral role when
we listen to music. The complex relationships between lyrical content, its
temporal evolution over the last decades, and genre-specific variations,
however, are yet to be fully understood. In this work, we investigate the
dynamics of English lyrics of Western, popular music over five decades and five
genres, using a wide set of lyrics descriptors, including lyrical complexity,
structure, emotion, and popularity. We find that pop music lyrics have become
simpler and easier to comprehend over time: not only does the lexical complexity
of lyrics decrease (for instance, captured by vocabulary richness or readability
of lyrics), but we also observe that the structural complexity (for instance,
the repetitiveness of lyrics) has decreased. In addition, we confirm previous
analyses showing that the emotion described by lyrics has become more negative
and that lyrics have become more personal over the last five decades. Finally, a
comparison of lyrics view counts and listening counts shows that when it comes
to the listeners’ interest in lyrics, for instance, rock fans mostly enjoy
lyrics from older songs; country fans are more interested in new songs’ lyrics.


2

Paper

3 Comments
2



DIAGNOSIS OF DIABETES USING CLASSIFICATION MINING TECHNIQUES

Aiswarya Iyer et al.Mar 28, 2024
Diabetes has affected over 246 million people worldwide with a majority of them
being women.According to the WHO report, by 2025 this number is expected to rise
to over 380 million.The disease has been named the fifth deadliest disease in
the United States with no imminent cure in sight.With the rise of information
technology and its continued advent into the medical and healthcare sector, the
cases of diabetes as well as their symptoms are well documented.This paper aims
at finding solutions to diagnose the disease by analyzing the patterns found in
the data through classification analysis by employing Decision Tree and Naïve
Bayes algorithms.The research hopes to propose a quicker and more efficient
technique of diagnosing the disease, leading to timely treatment of the
patients.
Computer Science
Decision Tree
Disease
2

Paper
Computer Science
Decision Tree
Disease
2 Comments
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Another work from old works, I will be glad to hear your thoughts!
Jonathan Heppner
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I would love to see a peer review of this paper. Very curious how
Neurophenomenology can inform the computational approach. In otherwords what is
the relevance of Neurophenomenolog ...
Sumit Sharma
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Research and share experiences with curcumin and Curcuminoids
Matteo Massaro
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100 RSC
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Offering a bounty to the best contribution on this matter.