Miracle-dz/UniFAR-FTUs huggingface dataset:
Scaling Law Analysis for Covariance Based Activity Detection in Cooperative Multi-Cell Massive Mimo

This paper studies the covariance based activity detection problem in a multi-cell massive multiple-input multiple-output (MIMO) system, where the active devices transmit their signature sequences to multiple base stations (BSs), and the BSs cooperatively detect the active devices based on the received signals. The scaling law of covariance based activity detection in the single-cell scenario has been thoroughly analyzed in the literature. This paper aims to analyze the scaling law of covariance based activity detection in the multi-cell massive MIMO system. In particular, this paper shows a quadratic scaling law in the multi-cell system under the assumption that the exponent in the classical path-loss model is greater than 2, which demonstrates that in the multi-cell MIMO system the maximum number of active devices that can be correctly detected in each cell increases quadratically with the length of the signature sequence and decreases logarithmically with the number of cells (as the number of antennas tends to infinity). This paper also characterizes the distribution of the estimation error in the multi-cell scenario.
SPQR: An R Package for Semi-Parametric Density and Quantile Regression

We develop an R package SPQR that implements the semi-parametric quantile regression (SPQR) method in Xu and Reich (2021). The method begins by ﬁtting a ﬂexible density regression model using monotonic splines whose weights are modeled as data-dependent functions using artiﬁcial neural networks. Subsequently, estimates of conditional density and quantile process can all be obtained. Unlike many approaches to quantile regression that assume a linear model, SPQR allows for virtually any relationship between the covariates and the response distribution including non-linear effects and different effects on different quantile levels. To increase the interpretability and transparency of SPQR, model-agnostic statistics developed by Apley and Zhu (2020) are used to estimate and visualize the covariate effects and their relative importance on the quantile function. In this article, we detail how this framework is implemented in SPQR and illustrate how this package should be used in practice through simulated and real data examples.
Towards A Robust Deepfake Detector: Common Artifact Deepfake Detection Model

Existing deepfake detection methods perform poorly on face forgeries generated by unseen face manipulation algorithms. The generalization ability of previous methods is mainly improved by modeling hand-crafted artifact features. Such properties, on the other hand, impede their further improvement. In this paper, we propose a novel deepfake detection method named Common Artifact Deepfake Detection Model, which aims to learn common artifact features in different face manipulation algorithms. To this end, we find that the main obstacle to learning common artifact features is that models are easily misled by the identity representation feature. We call this phenomenon Implicit Identity Leakage (IIL). Extensive experimental results demonstrate that, by learning the binary classifiers with the guidance of the Artifact Detection Module, our method effectively reduces the influence of IIL and outperforms the state-of-the-art by a large margin, proving that hand-crafted artifact feature detectors are not indispensable when tackling deepfake problems.
Broken Neural Scaling Laws

We present a smoothly broken power law functional form (that we refer to as a Broken Neural Scaling Law (BNSL)) that accurately models&extrapolates the scaling behaviors of deep neural networks (i.e. how the evaluation metric of interest varies as amount of compute used for training (or inference), number of model parameters, training dataset size, model input size, number of training steps, or upstream performance varies) for various architectures&for each of various tasks within a large&diverse set of upstream&downstream tasks, in zero-shot, prompted,&finetuned settings. This set includes large-scale vision, language, audio, video, diffusion, generative modeling, multimodal learning, contrastive learning, AI alignment, AI capabilities, robotics, out-of-distribution (OOD) generalization, continual learning, transfer learning, uncertainty estimation / calibration, OOD detection, adversarial robustness, distillation, sparsity, retrieval, quantization, pruning, fairness, molecules, computer programming/coding, math word problems,"emergent phase transitions", arithmetic, supervised learning, unsupervised/self-supervised learning,&reinforcement learning (single agent&multi-agent). When compared to other functional forms for neural scaling, this functional form yields extrapolations of scaling behavior that are considerably more accurate on this set. Moreover, this functional form accurately models&extrapolates scaling behavior that other functional forms are incapable of expressing such as the nonmonotonic transitions present in the scaling behavior of phenomena such as double descent&the delayed, sharp inflection points present in the scaling behavior of tasks such as arithmetic. Lastly, we use this functional form to glean insights about the limit of the predictability of scaling behavior. Code is available at https://github.com/ethancaballero/broken_neural_scaling_laws
Chandra Follow-up of the SDSS DR8 Redmapper Catalog Using the MATCha Pipeline

In order to place constraints on cosmology through optical surveys of galaxy clusters, one must first understand the properties of those clusters. To this end, we introduce the Mass Analysis Tool for Chandra (MATCha), a pipeline that uses a parallellized algorithm to analyze archival Chandra data. MATCha simultaneously calculates X-ray temperatures and luminosities and performs centering measurements for hundreds of potential galaxy clusters using archival X-ray exposures. We run MATCha on the redMaPPer SDSS DR8 cluster catalog and use MATCha's output X-ray temperatures and luminosities to analyze the galaxy cluster temperature–richness, luminosity–richness, luminosity–temperature, and temperature–luminosity scaling relations. We detect 447 clusters and determine 246 r2500 temperatures across all redshifts. Within 0.1 < z < 0.35, we find that r2500 TX scales with optical richness (λ) as with an intrinsic scatter of ( ). We investigate the distribution of offsets between the X-ray center and redMaPPer center within 0.1 < z < 0.35, finding that 68%. 3 ± 6.5% of clusters are well-centered. However, we find a broad tail of large offsets in this distribution, and we explore some of the causes of redMaPPer miscentering.
A retrospective study with long term follow-up of Graves' disease patients treated with low activities of 131 Iodine.

BACKGROUND Previous studies have shown that application of relatively low 131 I-Iodine activities can successfully be used to treat patients with Graves'disease (GD). We assessed treatment outcome in the long-term follow-up of our GD patients and influencing factors. METHODS We evaluated 521 GD patients in this retrospective clinical single-center study. In all patients we performed scintigraphy and thyroid uptake measurement after 4 h and 24 h using 10 MBq 123 I and calculated administered activity using Marinellis' formula. Treatment was done according to national regulations. Minimal routine clinical evaluation of all patients was available after 6 weeks and after 3, 6 and 12 months. Success of treatment was defined as euthyroid state or hypothyroidism 6 months after therapy. RESULTS We usually applied relatively low 131 I activities. 307 patients (58.9%) became hypothyroid within 21 years of follow-up. 139 patients (26.7%) became euthyroid and stayed euthyroid until the end of follow-up. We found a plateau after 7 years of initial therapy with only a few patients becoming hypothyroid after that time and identified 75 patients (14.4%) with persistent hyperthyroidism or recurrence. CONCLUSIONS Treatment with relatively low 131 I activities produce favourable responses as shown in previous works. We found a high proportion of patients with long-term euthyroid state. Application of low activities reduces radiation burden of patients and, depending on radiation protection legislation, may lead to shortened hospital stay and reduced costs. Therefore, we feel that application of higher activities to treat GD patients as recommended in several current guidelines should be reconsidered.
Association of Extracorporeal Membrane Oxygenation With New Mental Health Diagnoses in Adult Survivors of Critical Illness.

Importance Extracorporeal membrane oxygenation (ECMO) is used as temporary cardiorespiratory support in critically ill patients, but little is known regarding long-term psychiatric sequelae among survivors after ECMO. Objective To investigate the association between ECMO survivorship and postdischarge mental health diagnoses among adult survivors of critical illness. Design, Setting, and Participants Population-based retrospective cohort study in Ontario, Canada, from April 1, 2010, through March 31, 2020. Adult patients (N=4462; age ≥18 years) admitted to the intensive care unit (ICU), and surviving to hospital discharge were included. Exposures Receipt of ECMO. Main Outcomes and Measures The primary outcome was a new mental health diagnosis (a composite of mood disorders, anxiety disorders, posttraumatic stress disorder; schizophrenia, other psychotic disorders; other mental health disorders; and social problems) following discharge. There were 8 secondary outcomes including incidence of substance misuse, deliberate self-harm, death by suicide, and individual components of the composite primary outcome. Patients were compared with ICU survivors not receiving ECMO using overlap propensity score-weighted cause-specific proportional hazard models. Results Among 642 survivors who received ECMO (mean age, 50.7 years; 40.7% female), median length of follow-up was 730 days; among 3820 matched ICU survivors who did not receive ECMO (mean age, 51.0 years; 40.0% female), median length of follow-up was 1390 days. Incidence of new mental health conditions among survivors who received ECMO was 22.1 per 100-person years (95% confidence interval [CI] 19.5-25.1), and 14.5 per 100-person years (95% CI, 13.8-15.2) among non-ECMO ICU survivors (absolute rate difference of 7.6 per 100-person years [95% CI, 4.7-10.5]). Following propensity weighting, ECMO survivorship was significantly associated with an increased risk of new mental health diagnosis (hazard ratio [HR] 1.24 [95% CI, 1.01-1.52]). There were no significant differences between survivors who received ECMO vs ICU survivors who did not receive ECMO in substance misuse (1.6 [95% CI, 1.1 to 2.4] per 100 person-years vs 1.4 [95% CI, 1.2 to 1.6] per 100 person-years; absolute rate difference, 0.2 per 100 person-years [95% CI, -0.4 to 0.8]; HR, 0.86 [95% CI, 0.48 to 1.53]) or deliberate self-harm (0.4 [95% CI, 0.2 to 0.9] per 100 person-years vs 0.3 [95% CI, 0.2 to 0.3] per 100 person-years; absolute rate difference, 0.1 per 100 person-years [95% CI, -0.2 to 0.4]; HR, 0.68 [95% CI, 0.21 to 2.23]). There were fewer than 5 total cases of death by suicide in the entire cohort. Conclusions and Relevance Among adult survivors of critical illness, receipt of ECMO, compared with ICU hospitalization without ECMO, was significantly associated with a modestly increased risk of new mental health diagnosis or social problem diagnosis after discharge. Further research is necessary to elucidate the potential mechanisms underlying this relationship.
Protein regulation mechanism of cold tolerance in Haemaphysalis longicornis

Ticks are external parasitic arthropods that can transmit a variety of pathogens by sucking blood. Low‐temperature tolerance is essential for ticks to survive during the cold winter. Exploring the protein regulation mechanism of low‐temperature tolerance of Haemaphysalis longicornis could help to explain how ticks survive in winter. In this study, the quantitative proteomics of several tissues of H. longicornis exposed to low temperature were studied by data independent acquisition technology. Totals of 3 699, 3 422, and 1 958 proteins were identified in the salivary gland, midgut, and ovary, respectively. The proteins involved in energy metabolism, cell signal transduction, protein synthesis and repair, and cytoskeleton synthesis changed under low‐temperature stress. The comprehensive analysis of the protein regulation of multiple tissues of female ticks exposed to low temperature showed that maintaining cell homeostasis, maintaining cell viability, and enhancing cell tolerance were the most important means for ticks to maintain vital signs under low temperature. The expression of proteins involved in and regulating the above cell activities was the key to the survival of ticks under low temperatures. Through the analysis of a large amount of data, we found that the expression levels of arylamine N‐acetyltransferase, inositol polyphosphate multikinase, and dual‐specificity phosphatase were up‐regulated under low temperature. We speculated that they might have important significance in low‐temperature tolerance. Then, we performed RNA interference on the mRNA of these 3 proteins, and the results showed that the ability of female ticks to tolerate low temperatures decreased significantly.
Instability and fluctuations of flux lines with point impurities in a parallel current

A parallel current can destabilize a single flux line (FL) or an array of FLs. We consider the effects of pinning by point impurities on this instability. The presence of impurities destroys the long-range order of a flux lattice, leading to the so-called Bragg glass (BrG) phase. We first show that the long-range topological order of the BrG is also destroyed by a parallel current. Nonetheless, some degree of short-range order should remain, whose destruction by thermal and impurity fluctuations, as well as the current, is studied here. To this end, we employ a cage model for a single FL in the presence of impurities and current, and study it analytically (by replica variational methods) and numerically (using a transfer matrix technique). The results are in good agreement, and in conjunction with a Lindemann criterion, provide the boundary in the magnetic-field\char21{}temperature plane for destruction of short-range order. In all cases, we find that the addition of impurities or current (singly or in combination) leads to a further increase in equilibrium FL fluctuations. Thus pinning to point impurities does not stabilize FLs in a parallel current ${j}_{z},$ although the onset of this instability is much delayed due to large potential barriers that diverge as ${j}_{z}^{\ensuremath{-}\ensuremath{\mu}}. $
3C 17: The BCG of a Galaxy Cluster at z = 0.22

Gemini Multi Object Spectrograph medium-resolution spectra and photometric data of 39 objects in the field of the radio galaxy 3C 17 are presented. Based on the new data, a previously uncataloged cluster of galaxies is identified at a mean redshift of z = 0.220 ± 0.003, a projected virial radius of 0.37 Mpc, and a velocity dispersion of σv = 821 ± 171 km s−1. The brightest member of this cluster is 3C 17, with Mr = −22.45 mag. The surface brightness profile of 3C 17 is best fit with two components (Exponential + Sérsic) characteristic of brightest cluster galaxies. The spectrum of 3C 17 is dominated by broad emission lines Hα + N[ ii] and Hβ + [O iii]. Analysis of Chandra data shows extended emission around the cluster core that supports the existence of hot gas cospatial with 3C 17. The discovery of a cluster of galaxies around 3C 17 better explains the sharply bent morphology of the radio jet given that it propagates through a dense intracluster medium.
Success of Occlusal Aperture Access for Endodontic Therapy of Canine Teeth in Dogs

The objective of this study was to determine the success of the natural crowns of endodontically treated canine teeth in pet dogs, instrumented and obturated using rotary driven non-taper nickel titanium files, through an occlusal access preparation, without the placement of a prosthetic cast metal crown. A search of medical records at a private veterinary dental referral practice was conducted to identify pet dogs having had endodontic treatment of one or more canine teeth over an eleven-year period (2007-2018). Follow up, performed by the same veterinary dental specialist, included a complete oral health assessment under general anesthesia and included intraoral radiography thereby allowing close visual examination of the crown and restoration as well as assessing endodontic success. Time to follow up was between two and nine years after treatment with a mean of 4.5 years. Analysis revealed that 29/29 (100%) of the treated crowns maintained their stability and did not require extraction. 5/29 (17.2%) of the treated teeth had an enamel fracture requiring additional treatment to the crown after the initial treatment; 1/29 (3.4%) had additional abrasion but did not require treatment and 23/29 (79.3%) were found to have sustained no additional damage. This study supports endodontic treatment without the placement of a prosthetic crown in canine teeth in pet dogs when an occlusal access site is used as described in this paper. Further study is required on the increased risk of fracture of the remaining unaltered canine teeth.
Social support among older adults understood through structural equation modeling.

OBJECTIVES to analyze factors associated, directly and indirectly, with lower social support of older adults, according to sex. METHODS a cross-sectional study, with 941 older adults from a health micro-region in Minas Gerais. Descriptive and trajectory analyzes were carried out (p<0.05). RESULTS in groups of women and men, direct and significant associations were observed between a smaller social network (p<0.001;p<0.001), single-person housing (p=0.046;p<0.001), greater number of depressive symptoms (p<0.001;p=0.010) and lower participation in advanced activities (p<0.001;p=0.005) with lower social support. In women, younger age was directly and significantly associated with outcome (p<0.001). In men, older age, mediated by lower participation in advanced activities, was indirectly associated with outcome. CONCLUSIONS men and women showed less social support associated with social network, housing arrangement, depressive symptoms and participation in advanced activities. Understanding the context of social support among older adults makes it possible to establish more effective measures to improve care.
Gene expression pattern of adenosine receptors in lung tumors

Adenosine, a purine nucleoside, plays an important function in the pathogenesis of cancer through interaction with the cell surface G protein‐coupled adenosine receptors. It is important to determine the expression pattern of these receptors in different cancers. Previously in our lab, we found up‐regulation of A1 adenosine receptor (AR) in lung tumors playing as a putative target for cancer cell inhibition, and here we aimed to investigate the significance of other adenosine receptor isoforms (A2aAR, A2bAR, and A3AR).
All-Soft Tissue Quadriceps Tendon Autograft in Revision Anterior Cruciate Ligament Reconstruction in Athletes: Comparison to Bone-Patellar Tendon-Bone Autograft With at Least a 2-Year Follow-up

Background: Revision anterior cruciate ligament (ACL) reconstruction is being performed at an increasing rate. Previous literature has suggested that autograft ACL reconstruction is a better option than allograft in revision surgery, although the optimal autograft choice remains unknown. The all–soft tissue quadriceps tendon (ASTQT) autograft has been found to be an effective option for primary ACL reconstruction. However, few studies have evaluated ASTQT autograft in revision ACL reconstruction. Purpose/Hypothesis: The purpose of this study was to evaluate the ASTQT autograft in revision ACL reconstruction in athletes compared with bone–patellar tendon–bone (BTB) autograft. We hypothesized that the ASTQT autograft would lead to similar return to play, time to return to play, retear rate, and patient-reported outcomes compared with BTB autograft. Study Design: Cohort study; Level of evidence, 3. Methods: A retrospective study was performed on all athletes undergoing revision ACL reconstruction between August 2013 and December 2019 at a single institution. Patients participating in high school or college athletics undergoing first-time revision with either ASTQT or BTB autograft with ≥2 years of follow-up were included. Demographic variables, complications, return to sports, and outcome scores including the International Knee Documentation Committee (IKDC) and Lysholm were collected and compared between the 2 cohorts. Results: A total of 58 revision ACL reconstructions were included, with 32 in the ASTQT cohort and 26 in the BTB cohort. Return to sports at the same level occurred in 62.5% of the ASTQT group and 53.8% of the BTB group. The ASTQT group returned to sports significantly faster than the BTB group (8.9 vs 10.3 months; P = .020). There was no difference in retear rates (3.1%, ASTQT; 7.7%, BTB) or other complications between the 2 groups. The IKDC scores were significantly higher at the 6- and 12-month follow-up for the ASTQT autograft group compared with the BTB group (6 months: ASTQT, 71.3; BTB, 61.7, P = .001; 12 months: ASTQT, 82.7; BTB, 78.6; P = .021). Lysholm scores were also greater in the ASTQT cohort at these time points (6 months: ASTQT, 75.1; BTB, 63.6; P < .001; 12 months: ASTQT, 82.0; BTB, 74.5; P < .001). However, IKDC and Lysholm scores were similar between both groups at final follow-up (IKDC: ASTQT, 82.9; BTB, 81.7; P = .344; Lysholm: ASTQT, 83.0; BTB, 81.0; P = .104) There was no significant clinical difference in the absolute difference in scores or rate of achieving clinical thresholds between the 2 cohorts. Conclusion: ASTQT autograft for revision ACL in athletes has similar outcomes compared with BTB autograft. However, the ASTQT may possibly afford quicker return to sports and better early improvements in patient-reported outcomes that normalize by 1 year. The soft tissue quadriceps autograft should be considered a viable graft option in revision ACL reconstruction in athletes.
What is the second law of thermodynamics and are there any limits to its validity

In the scientific and engineering literature, the second law of thermodynamics is expressed in terms of the behavior of entropy in reversible and irreversible processes. According to the prevailing statistical mechanics interpretation the entropy is viewed as a nonphysical statistical attribute, a measure of either disorder in a system, or lack of information about the system, or erasure of information collected about the system, and a plethora of analytic expressions are proposed for the various measures. In this paper, we present two expositions of thermodynamics (both 'revolutionary' in the sense of Thomas Kuhn with respect to conventional statistical mechanics and traditional expositions of thermodynamics) that apply to all systems (both macroscopic and microscopic, including single particle or single spin systems), and to all states (thermodynamic or stable equilibrium, nonequilibrium, and other states).
The role of GTP hydrolysis by EF-G in ribosomal translocation

Significance Using ensemble FRET, we measured the effects of inhibition of GTP hydrolysis on rotational movements of the 30S ribosomal subunit and of the head domain of the 30S subunit during ribosomal translocation. Surprisingly, we find that blockage of GTP hydrolysis by the elongation factor G (EF-G) specifically abolishes reverse rotation of the head domain of the small ribosomal subunit, an event that occurs after translocation of the transfer RNA and messenger RNA is essentially complete. We propose that the principal role of GTP hydrolysis is to ensure that EF-G is not released from the ribosome until completion of each round of translocation, which guards against slippage of the translational reading frame.