Miracle-dz/UniFAR-FTUs huggingface dataset:
On Fundamental Limits of Joint Sparse Support Recovery Using Certain Correlation Priors

This paper provides new probabilistic guarantees for recovering the common support of jointly sparse vectors in multiple measurement vector (MMV) models. In recent times, Bayesian approaches for sparse signal recovery (such as sparse Bayesian learning and correlation-aware LASSO) have shown preliminary evidence that under appropriate conditions (such as access to ideal covariance matrix of the measurements or certain restrictive orthogonality condition on the signals), it is possible to recover supports of size (<inline-formula><tex-math notation="LaTeX">$K$ </tex-math></inline-formula>) larger than the dimension (<inline-formula><tex-math notation="LaTeX">$M$</tex-math> </inline-formula>) of each measurement vector. However, no results exist that characterize the probability with which this can be achieved for a finite number of measurement vectors (<inline-formula><tex-math notation="LaTeX">$L$ </tex-math></inline-formula>). This paper bridges this gap by formulating the support recovery problem in terms of a multiple hypothesis testing framework. Chernoff-type upper bounds on the probability of error are established, and new sufficient conditions are derived that guarantee its exponential decay with respect to <inline-formula> <tex-math notation="LaTeX">$L$</tex-math></inline-formula> even when <inline-formula><tex-math notation="LaTeX"> $K=O(M^2)$</tex-math></inline-formula>. Our sufficient conditions are based on the properties of the so-called Khatri–Rao product of the measurement matrix and reveal the importance of a sampler design. Negative results are also established indicating that when <inline-formula><tex-math notation="LaTeX">$K$</tex-math></inline-formula> exceeds a certain threshold (in terms of <inline-formula><tex-math notation="LaTeX">$M$</tex-math></inline-formula>), there will exist a class of measurement matrices for which any support recovery algorithm will fail. Using results from the geometric probability, we characterize the probability with which a randomly generated measurement matrix will belong to this class and show that this probability tends to 1 asymptotically in the size (<inline-formula> <tex-math notation="LaTeX">$N$</tex-math></inline-formula>) of the sparse vectors.
Pattern of tympanic membrane perforation in a tertiary hospital in Nigeria

Background/Objectives: Tympanic membrane perforation is a common otological disorder with associated hearing impairment. This study aimed at determining the clinicoepidemiological pattern, etiological factors, clinical presentation, and management of tympanic membrane perforation in a tertiary hospital in Nigeria. Materials and Methods: This was a prospective, hospital-based study of patients with the clinical finding of perforated tympanic membrane. The study was carried out over a period of 5 years (September 2012 to August 2017). Interviewer-assisted questionnaire was administered to obtain the detailed history and clinical findings from consenting patients. Data collected were collated and analyzed using SPSS version 16.0. Results: A total of 529 patients had tympanic membrane perforation, of which 368 (69.6%) were males and 161 (30.4%) were females with a male-to-female ratio of 2:1. The prevalence of tympanic membrane perforation in this study was 7.8%. The most common presenting symptom among the patients was otorrhea in 81.5%, otalgia in 72.8%, and tinnitus in 55.7%. Acute suppurative otitis media was a cause of tympanic membrane perforation in 28.4% of the patients while 55.7% of the patients proceed to chronic suppurative otitis media. Unilateral tympanic membrane perforation was 79.0%. The left ear tympanic membrane perforation was 43.9%. Grade 1 tympanic membrane perforation accounted for 39.3% while grade 2 accounted for 32.3%. The most common types of tympanic membrane perforation were central in 38.2%, anterior central in 32.3%, and posterior central in 19.3%. Conductive hearing impairment accounted for 61.6% while sensorineural hearing impairment 25.3%. The most common degrees of hearing impairment were mild and moderate and accounted for 47.1% and 25.1%, respectively. The most common complications of tympanic membrane perforation were hearing impairment in 52.6%. Majority of the patients (425) were treated conservatively, six had fat patches, while 98 were treated surgically. Tympanic membrane perforation healed at the end of 3 months in 81.5%, while 18.5% did not heal after 3 months. Conclusion: Tympanic membrane perforation arises mainly from middle ear infections and traumatic causes. At presentation, size and location of perforation vary which depend on duration of infection or the traumatic causes.
Baby‐led complementary feeding: Randomized controlled study

Baby‐led weaning (BLW) is an approach to introducing solid foods to infants that gives control of the feeding process to the infant. Anecdotal evidence suggests that BLW is becoming popular with parents, but scientific research is limited to a few publications. This study assessed growth, hematological parameters and iron intake in 6–12‐month‐old infants fed by traditional or baby‐led complementary feeding.
Regulation of global translation during the cell cycle

ABSTRACT It is generally accepted that global translation varies during the cell cycle and is low during mitosis. However, addressing this issue is challenging because it involves cell synchronization, which evokes stress responses that, in turn, affect translation rates. Here, we have used two approaches to measure global translation rates in different cell-cycle phases. First, synchrony in different cell-cycle phases was obtained involving the same stress, by using temperature-sensitive mutants. Second, translation and DNA content were measured by flow cytometry in exponentially growing, single cells. We found no major variation in global translation rates through the cell cycle in either fission yeast or mammalian cells. We also measured phosphorylation of eukaryotic initiation factor-2α, an event that is thought to downregulate global translation in mitosis. In contrast with the prevailing view, eIF2α phosphorylation correlated poorly with downregulation of global translation and ectopically induced eIF2α phosphorylation inhibited global translation only at high levels. Summary: Using novel approaches we find no major variations in global translation rates through the cell cycle. We also present insights into the role of phosphorylation of eukaryotic initiation factor-2α (eIF2α).
Factors Associated With Residency and Career Dissatisfaction in Childbearing Surgical Residents

Importance Previous work shows women who have children during surgical residency face difficulty balancing childbearing with training, which negatively affects residency and career satisfaction. Little is known about the factors that drive professional discontent. Objective To determine factors associated with professional dissatisfaction for childbearing residents. Design, Setting, and Participants Self-administered survey questionnaire electronically distributed through the Association of Program Directors in Surgery, the Association of Women Surgeons, and targeted Twitter and Facebook platforms. The survey was distributed in January 2017 to surgeons who delivered at least 1 child during a US general surgery residency and was available online for 4 weeks. Main Outcomes and Measures Respondents were reported to be dissatisfied with their residency if they indicated agreement that they considered leaving residency owing to challenges surrounding childbearing (considered leaving). Respondents were reported to be unhappy with their career if they indicated agreement with statements that (1) given an opportunity to revisit their job choice, they would choose a nonsurgical career more accommodating of motherhood (revisit career choice) or (2) they would advise a female medical student against a surgical career owing to difficulties balancing motherhood with the profession (advise against surgery). Logistic regression was used to determine predictors of agreement with each of the 3 statements of professional dissatisfaction. Results In total, 347 women responded to the survey and reported 452 pregnancies, and the mean (SD) age was 30.5 (2.7) years. One hundred seventy-nine respondents (51.6%) agreed with at least 1 statement of residency or career dissatisfaction. Lack of a formal maternity leave policy was associated with “considered leaving” (odds ratio [OR], 1.83; 95% CI, 1.07-3.10). Perception of stigma during pregnancy was associated with “revisit career choice” (OR, 1.79; 95% CI, 1.01-3.19). Changing fellowship plans owing to perceived difficulty balancing motherhood with the originally chosen subspecialty was associated with all 3 markers of residency and career dissatisfaction (“considered leaving” OR, 2.68; 95% CI, 1.30-5.56; “revisit career choice” OR, 2.23; 95% CI, 1.13-4.43; and “advise against surgery” OR, 2.44; 95% CI, 1.23-4.84). Conclusions and Relevance Surgery residents who perceived stigma during pregnancy, did not have a formal institutional maternity leave policy, or altered their fellowship training plans because of challenges of childbearing expressed greater professional dissatisfaction. Mentorship in subspecialty selection and work-life integration, interventions to reduce workplace bias, and identification of obstacles to establishment of maternity leave policies are needed to enhance professional fulfillment for childbearing residents.
GWAS with Heterogeneous Data: Estimating the Fraction of Phenotypic Variation Mediated by Gene Expression Data

Intermediate phenotypes such as gene expression values can be used to elucidate the mechanisms by which genetic variation causes phenotypic variation, but jointly analyzing such heterogeneous data are far from trivial. Here we extend a so-called mediation model to handle the confounding effects of genetic background, and use it to analyze flowering time variation in Arabidopsis thaliana, focusing in particular on the central role played by the key regulator FLOWERING TIME LOCUS C (FLC). FLC polymorphism and FLC expression are both strongly correlated with flowering time variation, but the effect of the former is only partly mediated through the latter. Furthermore, the latter also reflects genetic background effects. We demonstrate that it is possible to partition these effects, shedding light on the complex regulatory network that underlies flowering time variation.
Delivery and evaluation of participatory education for animal keepers led by veterinarians and para-veterinarians around the Kanha Tiger Reserve, Madhya Pradesh, India

Aim We aim to investigate local perceptions of animal health challenges; current animal health knowledge; and methods to provide effective, relevant education to animal keepers in the Kanha Tiger Reserve area. Materials and methods A farmer education programme was undertaken in the Kanha Tiger Reserve area. Local animal health priorities were investigated through participatory village meetings (n = 38), individual animal keeper questionnaires (n = 100) and a written survey of local paravets (n = 16). Educational interventions were: veterinary surgeon led education meeting (VE); paravet led education meeting (PVE); distribution of printed materials (PM). 230 village meetings were carried out across 181 villages, contacting 3791 animal keepers. 20 villages received printed materials. Information was gathered on perceptions of local animal health challenges and current remedies. Efficacy of knowledge transfer was assessed four to five months later using a purposeful sample of 38 villages. Results Group meetings identified ticks (35/38), foot and mouth disease (FMD) (31/38) and diarrhoea (30/38) as the greatest animal health challenges. Individual interviews identified haemorrhagic septicaemia (HS) (87/100), blackquarter (BQ) (66/100) and plastic ingestion (31/100). Paravets identified FMD (7/16), BQ (6/16) and HS (6/16), and also indicated that animal husbandry and socio-economic factors were important. Current treatments were primarily home remedies and herbalism, but also included contacting a paravet, use of pharmaceuticals and faith healing. Animal treatment knowledge prior to intervention was not significantly different between groups (P = 0.868). Following intervention animal health knowledge was assessed: PVE performed better than controls (P = 0.001) and PM (P = 0.003); VE performed better than controls (P = 0.009). There was no significant difference between VE and PVE (P = 0.666) nor PM and controls (P = 0.060). Conclusions and recommendations Open access participatory village meetings are an effective way to provide animal health education. In this region distribution of posters and leaflets did not appear to be an effective way to contact animal keepers. Meetings led by paravets can be as effective as those led by veterinarians and paravets can rapidly and sustainably contact large numbers of animal keepers. Investigation of the local animal health situation is essential to ensure education is relevant and accessible to intended recipients. Interventions must be carefully planned to maximise engagement of all sections of the community, particularly women.
Increases in circulating levels of ketone bodies and cardiovascular protection with SGLT2 inhibitors: Is low‐grade inflammation the neglected component?

Recent clinical trials have demonstrated a strong cardiovascular (CV) protective effect of sodium/glucose cotransporter (SGLT) 2 inhibitors, a recently introduced class of hypoglycaemic agents. The improvement in glycated haemoglobin and other conventional risk factors explains only a portion of the observed reduction in CV risk. A relevant feature of SGLT2‐inhibitor‐treated diabetic patients is the increase in circulating levels of ketone bodies, which has been proposed to mediate part of the beneficial effects of this class of drugs, mainly through their bioenergetic properties. However, ketone bodies are emerging as potent anti‐inflammatory molecules, and inflammation is a recognized risk factor for the development of CV events. In this framework, we hypothesize that, through their unique mechanism of action and by increasing circulating ketone bodies, SGLT2 inhibitors indirectly target the IL‐1β pathway and thus produce a consistent amelioration of low‐grade inflammation, a clinically relevant phenomenon in diabetic patients with high CV risk. This attenuation could slow the progression of CV disease and especially the atherosclerotic process, which is sensitive to environmental changes, even over a short time period. To test this conceptual structure, it would be necessary to measure circulating pro‐inflammatory molecules in patients treated with SGLT inhibitors. The addition of inflammatory markers to the list of clinical data measured in FDA‐requested, large CV outcome trials could provide supplementary information regarding potential secondary effects of new anti‐hyperglycaemic drugs, considering that the inflammatory process is an often neglected cornerstone of CV diseases.
Extending the resection beyond the contrast-enhancement for glioblastoma: feasibility, efficacy, and outcomes

Abstract Object: It is becoming well-established that increasing extent of resection with decreasing residual volume is associated with delayed recurrence and prolonged survival for patients with glioblastoma (GBM). These prior studies are based on evaluating the contrast-enhancing (CE) tumour and not the surrounding fluid attenuated inversion recovery (FLAIR) volume. It therefore remains unclear if the resection beyond the CE portion of the tumour if it translates into improved outcomes for patients with GBM. Methods: Adult patients who underwent resection of a primary glioblastoma at a tertiary care institution between January 1, 2007 and December 31, 2012 and underwent radiation and temozolomide chemotherapy were retrospectively reviewed. Pre and postoperative MRI images were measured for CE tumour and FLAIR volumes. Multivariate proportional hazards were used to assess associations with both time to recurrence and death. Values with p < 0.05 were considered statistically significant. Results: 245 patients met the inclusion criteria. The median [IQR] preoperative CE and FLAIR tumour volumes were 31.9 [13.9–56.1] cm3 and 78.3 [44.7–115.6] cm3, respectively. Following surgery, the median [IQR] postoperative CE and FLAIR tumour volumes were 1.9 [0–7.1] cm3 and 59.7 [29.7–94.2] cm3, respectively. In multivariate analyses, the postoperative FLAIR volume was not associated with recurrence and/or survival (p > 0.05). However, the postoperative CE tumour volume was significantly associated with both recurrence [HR (95%CI); 1.026 (1.005–1.048), p = 0.01] and survival [HR (95%CI); 1.027 (1.007–1.032), p = 0.001]. The postoperative FLAIR volume was also not associated with recurrence and/or survival among patients who underwent gross total resection of the CE portion of the tumour as well as those who underwent supratotal resection. Conclusions: In this study, the volume of CE tumour remaining after resection is more important than FLAIR volume in regards to recurrence and survival for patients with GBM.
Attributes’ Importance for Zero-Shot Pose-Classification Based on Wearable Sensors

This paper presents a simple yet effective method for improving the performance of zero-shot learning (ZSL). ZSL classifies instances of unseen classes, from which no training data is available, by utilizing the attributes of the classes. Conventional ZSL methods have equally dealt with all the available attributes, but this sometimes causes misclassification. This is because an attribute that is effective for classifying instances of one class is not always effective for another class. In this case, a metric of classifying the latter class can be undesirably influenced by the irrelevant attribute. This paper solves this problem by taking the importance of each attribute for each class into account when calculating the metric. In addition to the proposal of this new method, this paper also contributes by providing a dataset for pose classification based on wearable sensors, named HDPoseDS. It contains 22 classes of poses performed by 10 subjects with 31 IMU sensors across full body. To the best of our knowledge, it is the richest wearable-sensor dataset especially in terms of sensor density, and thus it is suitable for studying zero-shot pose/action recognition. The presented method was evaluated on HDPoseDS and outperformed relative improvement of 5.9% in comparison to the best baseline method.
A simple decision to move in response to touch reveals basic sensory memory and mechanisms for variable response times

Short‐term working memory and decision‐making are usually studied in the cerebral cortex; in many models of simple decision making, sensory signals build slowly and noisily to threshold to initiate a motor response after long, variable delays. When touched, hatchling frog tadpoles decide whether to swim; we define the long and variable delays to swimming and use whole‐cell recordings to uncover the neurons and processes responsible. Firing in sensory and sensory pathway neurons is short latency, and too brief and invariant to explain these delays, while recordings from hindbrain reticulospinal neurons controlling swimming reveal a prolonged and variable build‐up of synaptic excitation which can reach firing threshold and initiate swimming. We propose this excitation provides a sensory memory of the stimulus and may be generated by small reverberatory hindbrain networks. Our results uncover fundamental network mechanisms that allow animals to remember brief sensory stimuli and delay simple motor decisions.
Inferring Parameters Through Inverse Multiobjective Optimization

Given a set of human's decisions that are observed, inverse optimization has been developed and utilized to infer the underlying decision making problem. The majority of existing studies assumes that the decision making problem is with a single objective function, and attributes data divergence to noises, errors or bounded rationality, which, however, could lead to a corrupted inference when decisions are tradeoffs among multiple criteria. In this paper, we take a data-driven approach and design a more sophisticated inverse optimization formulation to explicitly infer parameters of a multiobjective decision making problem from noisy observations. This framework, together with our mathematical analyses and advanced algorithm developments, demonstrates a strong capacity in estimating critical parameters, decoupling "interpretable" components from noises or errors, deriving the denoised \emph{optimal} decisions, and ensuring statistical significance. In particular, for the whole decision maker population, if suitable conditions hold, we will be able to understand the overall diversity and the distribution of their preferences over multiple criteria, which is important when a precise inference on every single decision maker is practically unnecessary or infeasible. Numerical results on a large number of experiments are reported to confirm the effectiveness of our unique inverse optimization model and the computational efficacy of the developed algorithms.
Age-related changes in estradiol and longitudinal associations with fat mass in men

Context In men, circulating 17β-estradiol originates primarily from peripheral aromatization of testosterone particularly in adipose tissue. The effect of ageing and obesity on circulating estradiol remains unclear. Objective Determine five-year changes in serum estradiol and the association with testosterone and fat mass in Australian men. Design Longitudinal cohort study. At baseline and five-year follow-up, socio-demographic and health-related data including behaviors, chronic conditions, and medication use were collected by questionnaire. Estradiol and testosterone were assayed by liquid chromatography-tandem mass spectrometry and sex hormone-binding globulin by immunochemiluminescent assay. Fat mass was assessed by dual-energy X-ray absorptiometry. Participants Community-dwelling men aged 35 years and older at enrollment, resident in the northern and western suburbs of Adelaide without established disease of, or medications affecting, the hypothalamus-pituitary-gonadal axis (n = 725). Main outcome measures The dependence of change in serum estradiol over five years on age, testosterone and fat mass after adjustment for multiple confounders. Results At baseline, mean age was 53.0 ± 10.8 years. Mean serum estradiol levels at baseline and five-year follow-up were 94.9 ± 34.8 and 89.4 ± 30.4 pmol/L respectively (-1.1 pmol/L/year). On multivariable analyses, estradiol change was associated with changes in testosterone (B-estimate = 2.719, standard error = 0.369, p˂0.001), but not age or total fat mass. Change in testosterone/estradiol ratio was inversely associated with change in fat mass (B = -1.450, SE = 0.575, p = 0.012), and this was consistent across quartiles of fat mass change. Conclusions In healthy men, circulating estradiol is primarily dependent on testosterone. With increasing fat mass, estradiol decreases less than testosterone. From a clinical standpoint these data indicate that obesity is associated with a change in the testosterone to estradiol ratio, but a change in estradiol does not occur unless some other pathology is present.