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Do Heavy Tails Help Diffusion? On the Subtle Trade-off Between Initialization and Training
Announce Type: replace Abstract: Recent works have proposed incorporating heavy-tailed (HT) noise into diffusion- and flow-based generative models, with the goals of better recovering the tails of target distributions and improving generative diversity. This motivation is intuitive: if the data are heavy-tailed, HT noise may appear better matched than light-tailed (LT) Gaussian noise.
Epigenome Alterations and 3D Chromatin Architecture Remodeling in Inflammatory Macrophage Activation under Diabetic Conditions
Aberrant monocyte and macrophage activation in diabetes drives chronic inflammation and complications. While epigenetic mechanisms are implicated, the role of 3D chromatin reorganization remains unclear. Using integrated multi-Omics, we profiled gene expression and 3D chromatin architecture in human CD14+ monocyte differentiated macrophages treated with high glucose plus TNF-alpha (HT) mimicking the diabetic milieu.
In-situ Silicon Doped hBN by High-Temperature Molecular Beam Epitaxy Enables Single Photon Emission
arXiv:2606.01727v1 Announce Type: new Abstract: Hexagonal boron nitride (hBN) has emerged as a leading host for optically active quantum defects. Yet introduction of specific impurity species other than carbon remains unexplored. Here, we demonstrate an in-situ silicon doping of hBN grown by high-temperature molecular beam epitaxy (HT-MBE).
Robust and sparse support vector machine via hybrid truncated loss for supervised classification
Announce Type: new Abstract: The support vector machine (SVM) is a widely used classifier, but choosing an appropriate loss function remains difficult. Convex losses such as the hinge loss and least-squares loss are sensitive to outliers, while bounded non-convex losses often lead to high computational cost.
AlphaQ: Calibration-Free Bit Allocation for Mixture-of-Experts Quantization
Announce Type: new Abstract: Mixture-of-Experts (MoE) architectures scale model capacity through sparse expert activation, but their deployment remains memory-bound because all expert weights must reside in memory. Mixed-precision quantization can substantially reduce this footprint by assigning different bit-widths to different experts. Existing approaches, however, typically rely on calibration data to estimate expert importance and determine bit allocation.
Antidepressant fluoxetine engages astrocytic cAMP via purinergic signalling
The use of selective serotonin reuptake inhibitors (SSRIs), the first-line treatment for depression, has increased by about 50% over the past decade, placing them amongst the top 10 most frequently prescribed drug classes globally. Overall, SSRIs are effective in reducing frequency, severity, and duration of depressive episodes for a majority of patients, yet the mechanisms underlying their therapeutic effects are not fully understood. While SSRIs elevate synaptic serotonin, this action...
Karnataka horror: Woman drugged, 'gang-raped' and filmed; 10 arrested
A 41-year-old woman was allegedly drugged and gang-raped in Karnataka’s Davangere district, with police arresting 10 people in connection with the case, officials said on Tuesday. The incident took place on the evening of June 3 in a village under the Basavapatna police station limits. However, it remained unreported until June 8, when a video showing the woman in an intoxicated condition allegedly surfaced in several WhatsApp groups.
There is no energy transition — only addition, experts say at Baku Energy Week
Grid infrastructure emerged as the forum's defining bottleneck on the last day of Baku Energy Week, as the IGU's chief of staff said that global consumption of oil, gas, coal and renewables is rising simultaneously, directly challenging the conventional narrative. The world is consuming more oil, gas, coal and renewables than ever before, the International Gas Union's chief of staff told the final day of Baku Energy Week, challenging the conventional understanding of energy transition....
Differential Induction of Cancer Cell Death by Root, Leaf, and Flower Extracts derived from Kalanchoe pinnata
Kalanchoe pinnata is a perennial plant that grows wild in tropical regions and is traditionally used as a medicinal plant. Plants of the Kalanchoe genus have been shown to possess several effects, including antibacterial and antihypertensive properties. However, effects such as the induction of apoptosis in cancer cells have not been reported for any substance other than leaf extracts of this plant and remain unexplained.
Taapsee Pannu breaks silence on her social media break
Taapsee Pannu has opened up about why she decided to slow down on social media. The actress said the constant pressure to follow trends, start conversations, and stay visible online became tiring. She also admitted that the decision affected her brand opportunities, but she chose to protect her peace and live her life away from the daily pressure of algorithms.