Do Deep Neural Networks Model Nonlinear Compositionality in the Neural Representation of Human-Object Interactions?

Visual scene understanding often requires the processing of human-object interactions. Here we seek to explore if and how well Deep Neural Network (DNN) models capture features similar to the brain's representation of humans, objects, and their interactions. We investigate brain regions which process human-, object-, or interaction-specific information, and establish correspondences between them and DNN features. Our results suggest that we can infer the selectivity of these regions to particular visual stimuli using DNN representations. We also map features from the DNN to the regions, thus linking the DNN representations to those found in specific parts of the visual cortex. In particular, our results suggest that a typical DNN representation contains encoding of compositional information for human-object interactions which goes beyond a linear combination of the encodings for the two components, thus suggesting that DNNs may be able to model this important property of biological vision.Comment: 4 pages, 2 figures; presented at CCN 201

Classification of blazar candidates of unknown type in Fermi 4LAC by unanimous voting from multiple Machine Learning Algorithms

The Fermi fourth catalog of active galactic nuclei (AGNs) data release 3 (4LAC-DR3) contains 3407 AGNs, out of which 755 are flat spectrum radio quasars (FSRQs), 1379 are BL Lacertae objects (BL Lacs), 1208 are blazars of unknown (BCUs) type, while 65 are non AGNs. Accurate categorization of many unassociated blazars still remains a challenge due to the lack of sufficient optical spectral information. The aim of this work is to use high-precision, optimized machine learning (ML) algorithms to classify BCUs into BL Lacs and FSRQs. To address this, we selected the 4LAC-DR3 Clean sample (i.e., sources with no analysis flags) containing 1115 BCUs. We employ five different supervised ML algorithms, namely, random forest, logistic regression, XGBoost, CatBoost, and neural network with seven features: Photon index, synchrotron-peak frequency, Pivot Energy, Photon index at Pivot\_Energy, Fractional variability, $\nu F\nu$ at synchrotron-peak frequency, and Variability index. Combining results from all models leads to better accuracy and more robust predictions. These five methods together classified 610 BCUs as BL Lacs and 333 BCUs as FSRQs with a classification metric area under the curve $>$ 0.96. Our results are significantly compatible with recent studies as well. The output from this study provides a larger blazar sample with many new targets that could be used for forthcoming multi-wavelength surveys. This work can be further extended by adding features in X-rays, UV, visible, and radio wavelengths.Comment: 22 pages, 10 figures, 3 tables, Accepted in Ap

Evaluation of the incidence, risk factors, severity, and outcome of hydrocephalic fetuses in a tertiary healthcare center located in Northern India: a prospective observational study

Background: Hydrocephalus is a heterogeneous disease marked by abnormal dilatation of the cerebral ventricles secondary to varying etiologies. This study was aimed to determine the incidence, risk factors, severity, and outcome of hydrocephalic fetuses presenting to a tertiary healthcare hospital located in northern India.Methods: In this prospective observational study, pregnant women visiting the obstetrics outpatient department of our hospital from 01 July 2017 to 31 June 2018 were screened for hydrocephalic fetuses via ultrasonography along with a detailed history, and a comprehensive battery of diagnostic investigations. They were followed up for a minimum period of two months after delivery/termination of pregnancy.Results: A total of 3627 pregnant women were screened, of which 10 had hydrocephalic fetuses in the observed time period. The incidence of hydrocephalus was determined to be 2.75 per 1000 live births. Low socio-economic status was identified as a major risk factor. 50% of the hydrocephalic fetuses were severely afflicted and were discontinued. The remaining 50% were successfully delivered and were managed via a ventriculo-peritoneal shunt or are under close observation in the postnatal period without any adverse outcome.Conclusions: The burden of hydrocephalus is considerably high in India, as compared to western countries. In rural settings, low socioeconomic status and lack of folic acid supplementation have a major influence in the etiopathogenesis of hydrocephalus. Management of hydrocephalus requires a multidisciplinary approach and is tailored according to the severity of the presentation. Severe cases of hydrocephalus and cases with associated anomalies have a poor prognosis

Revealing Transition in Fall-off Rates of spin-s Ising Model through Multiqudit Graph states

A variable-range interacting Ising model with spin-1/2 particles exhibits distinct behavior depending on the fall-off rates in the range of interactions, notably non-local (NL), quasi-local (QL), and local. It is unknown if such a transition occurs in this model with an arbitrary spin quantum number. We establish its existence by analyzing the profiles of entanglement entropy, mutual information, and genuine multipartite entanglement (GME) of the weighted graph state (WGS), which is prepared when the multi-level maximally coherent state at each site evolves according to the spin-s Ising Hamiltonian. Specifically, we demonstrate that the scaling of time-averaged mutual information and the divergence in the first derivative of GME with respect to the fall-off rate in the WGS can indicate the transition point from NL to QL, which scales logarithmically with individual spin dimension. Additionally, we suggest that the existence of a saturation value of a finite number of qudits capable of mimicking the GME pattern of an arbitrarily large system-size can reveal the second transition point between quasi-local and local regions.Comment: 10 pages, 12 figure

Effect of melatonin addition in ovulation induction protocols with clomiphene citrate in management of infertility

Background: About 10-12% of couples are unable to conceive by natural means despite concerted efforts and these figures have risen in past few decades. In recent years, effect of oxidative stress on the fertility has been widely recognised. Oxidative stress has been known to affect both male and female fertility reducing sperm count and motility in men, and affecting ovum reserve and quality in women. Melatonin is the secretion of the pineal gland responsible for circadian sleep rhythm has also shown to be good antioxidant. Aim and objective of current study was to study effect of melatonin addition to clomiphene citrate for induction of ovulation with a view to improve conception rates.Methods: This was a retrospective analysis of 52 women with infertility who were given clomiphene citrate with melatonin. Ovulation, conception rates and pregnancy outcomes were noted.Results: We observed 77.8%ovulation rates, and a significantly better conception and live birth rates.Conclusions: Melatonin, as an anti-oxidant may improve, conception and live birth rates when added to clomiphene citrate induction protocols

Entanglement of weighted graphs uncovers transitions in variable-range interacting models

The cluster state acquired by evolving the nearest-neighbor (NN) Ising model from a completely separable state is the resource for measurement-based quantum computation. Instead of an NN system, a variable-range power law interacting Ising model can generate a genuine multipartite entangled (GME) weighted graph state (WGS) that may reveal intrinsic characteristics of the evolving Hamiltonian. We establish that the pattern of generalized geometric measure (GGM) in the evolved state with an arbitrary number of qubits is sensitive to fall-off rates and the range of interactions of the evolving Hamiltonian. We report that the time-derivative and time-averaged GGM at a particular time can detect the transition points present in the fall-off rates of the interaction strength, separating different regions, namely long-range, quasi-local and local ones in one- and two-dimensional lattices with deformation. Moreover, we illustrate that in the quasi-local and local regimes, there exists a minimum coordination number in the evolving Ising model for a fixed total number of qubits which can mimic the GGM of the long-range model. In order to achieve a finite-size subsystem from the entire system, we design a local measurement strategy that allows a WGS of an arbitrary number of qubits to be reduced to a local unitarily equivalent WGS having fewer qubits with modified weights.Comment: 14 pages, 9 figure

Risks and challenges in multiple pregnancy

Because of breakthroughs in reproductive medicine, multiple pregnancies have become more common in the industrialized world. As a result, obstetric care for women with multiple pregnancies and neonatal care for the same has become more demanding. Multifetal pregnancies are linked to an elevated risk for both the mother and child. There is increased incidence of obstetric complications such as spontaneous abortion, hypertensive disorders, placenta previa, and fetal malformations. Perinatal outcome is also affected which is attributable to increased incidence of fetal complications like prematurity, congenital malformations, growth discordance and cord accidents. We are presenting 2 cases, one of MCMA twin pregnancy with fetal congenital anomaly and another of a triplet pregnancy and their perinatal outcomes

Bilobed gallbladder: a rare congenital anomaly of the biliary system

Duplication of the gallbladder is a rare congenital anomaly, which Boyden first illustrated in 1926. No additional risk of cholelithiasis or malignancy with this congenital anomaly was documented. However, this congenital anomaly is associated with more risk for complications during and after laparoscopic cholecystectomy. So, preoperative diagnosis is essential in identifying anatomical abnormalities to avoid biliary injuries at the time of surgery or the performance of an incomplete operation. The removal of an asymptomatic double gallbladder remains controversial. Here, we are reporting a case of the incidentally detected duplex gallbladder in a teenager and review the literature that will enrich the reader’s knowledge regarding this rare congenital anomaly

Feto maternal outcomes with mullerian anomalies

Congenital anomalies of female reproductive tract may involve the uterus, cervix, or vagina arise from defect in development of Mullerian ducts during fetal life. In mullerian anomalies various types of uterine anomalies are common. Many cases with Mullerian anomalies remain unidentified especially if patient is asymptomatic. They are often associated with obstetric complications like malpresentation, PPROM and preterm delivery. Hence we are presenting a case series to summarize the fetomaternal outcomes with mullerian anomalies