Endodontic management of three-rooted maxillary second premolar in a patient with bilateral occurrence of three roots in maxillary second premolars

The possibility of bilateral maxillary second premolars having three separate roots is quite low; however, it must be taken into account in clinical and radiographic evaluations during endodontic treatment. A correct clinical and radiographic diagnosis based on knowledge of root canal anatomy and critical interpretation of radiographs is necessary for a safer and successful endodontic treatment of these teeth. Failure of root canal treatment can occur due to missed roots/canals and often diagnosed when patient experiences continuous post-operative pain and discomfort. This case report describes the root canal treatment of a three-rooted maxillary second premolar in a patient with bilateral occurrence of three roots in maxillary second premolars

A rare occurrence of bilateral C-shaped roots in mandibular first and second premolars diagnosed with the aid of spiral computed tomography

The C-shaped canal system is an anatomical variation mostly seen in mandibular second molars, although it can also occur in maxillary and other mandibular molars. Such variation in the root canal anatomy is uncommon in mandibular first premolars and very rare in mandibular second premolars. The C-shaped canal is so named for the cross-sectional morphology of the root and root canal. The main anatomic feature of C-shaped canals is the presence of a fin or web connecting the individual root canals. Failure of the Hertwig's epithelial root sheath to fuse on the lingual or buccal root surface is the main cause of C-shaped roots, which always contain a C-shaped canal. This case report describes an unusual occurrence of C-shaped roots in mandibular first and second premolars bilaterally, diagnosed with the aid of spiral computed tomography

LRH-Net: A Multi-Level Knowledge Distillation Approach for Low-Resource Heart Network

An electrocardiogram (ECG) monitors the electrical activity generated by the heart and is used to detect fatal cardiovascular diseases (CVDs). Conventionally, to capture the precise electrical activity, clinical experts use multiple-lead ECGs (typically 12 leads). But in recent times, large-size deep learning models have been used to detect these diseases. However, such models require heavy compute resources like huge memory and long inference time. To alleviate these shortcomings, we propose a low-parameter model, named Low Resource Heart-Network (LRH-Net), which uses fewer leads to detect ECG anomalies in a resource-constrained environment. A multi-level knowledge distillation process is used on top of that to get better generalization performance on our proposed model. The multi-level knowledge distillation process distills the knowledge to LRH-Net trained on a reduced number of leads from higher parameter (teacher) models trained on multiple leads to reduce the performance gap. The proposed model is evaluated on the PhysioNet-2020 challenge dataset with constrained input. The parameters of the LRH-Net are 106x less than our teacher model for detecting CVDs. The performance of the LRH-Net was scaled up to 3.2% and the inference time scaled down by 75% compared to the teacher model. In contrast to the compute- and parameter-intensive deep learning techniques, the proposed methodology uses a subset of ECG leads using the low resource LRH-Net, making it eminently suitable for deployment on edge devices

Analysing volatility spillovers between grain and freight markets

The International Grain Council (IGC) circulates two price indices which are the Grain and Oilseeds Index (GOI) and the Grain and Oilseeds Freight Market Index (GOFI). These two indices indicate the respective market prices. The GOI markets are affected by various factors like supply and demand, weather, freight markets, etc. This research article attempts to explore and analyse volatility in GOI and GOFI markets using various GARCH family models, that is Exponential Generalized Autoregressive Conditional Heteroskedasticity (EGARCH) analysis. The multivariate Dynamic Conditional Correlation Generalized Autoregressive Conditional Heteroskedasticity model (DCC GARCH) is used to find the spillovers between the two markets and thereby explore the effect of GOFI on GOI markets from the year 2013. The research article consists of four sections after introducing the subject namely a literature review, research methodology and models, analysis and conclusions of the study

Low Energy Solar Neutrinos and Spin Flavour Precession

The possibility that the Gallium data effectively indicates a time modulation of the solar active neutrino flux in possible connection to solar activity is examined on the light of spin flavour precession to sterile neutrinos as a subdominant process in addition to oscillations. We distinguish two sets of Gallium data, relating them to high and low solar activity. Such modulation affects principally the low energy neutrinos ($pp$ and $^7 Be$) so that the effect, if it exists, will become most clear in the forthcoming Borexino and LENS experiments and will provide evidence for a neutrino magnetic moment. Using a model previously developed, we perform two separate fits in relation to low and high activity periods to all solar neutrino data. These fits include the very recent charged current spectrum from the SNO experiment. We also derive the model predictions for Borexino and LENS experiments.Comment: 20 pages, 5 ps figures, 1 eps figure, final version to be published in JHE

Rainfed agriculture in India: An analysis of performance and implications

The paper examines the trend in the performance of rainfed agriculture in India across major crops during pre- and post-liberalisation period; and ascertains the trend in net income of crop groups of different water requirements in rainfed regions. The major crop groups considered in the analysis are coarse cereals, oilseeds, pulses and cotton. The results indicate that the growth in production of oilseeds and pulses during 1980s and early 1990s weaned out during the subsequent period, probably due to the dilution of some of the policy initiatives like mission mode operation for these crops and adverse terms of trade. However, the yield of most of the crops has increased during the post- liberalisation period. This was also associated with a sharp increase in cost of cultivation. The rate of increase in cost of cultivation was severer for traditional rainfed crops compared to water intensive crops like sugarcane and paddy. Also, the growth in value of production has been lower than the growth in cost of cultivation for the rainfed crops during the post-liberalisation period. The parity of the net income also favoured cultivation of water intensive crops in rainfed lands. Rainfed regions need to focus on yield enhancement through natural resource conservation notably, water; and, incentivise rainfed agriculture through price policies and market opportunities. The study calls for increased investment for rainfed regions for creation of affordable technologies for water conservation and increasing water use efficiency; creation of institutions for better water management and spreading water literacy for sustainable crop production

Short-term outcome of periviable small-for-gestational-age babies: is our counseling up to date?

OBJECTIVE: There is limited data for counseling and management of periviable small for gestational age fetuses. We aim to investigate short term outcome in periviable SGA fetuses and relate this to the underlying cause. METHODS: Retrospective database study conduced in three London tertiary fetal medicine centres between 2000 and 2015. We included viable singleton pregnancies with abdominal circumference ≤ 3rd percentile between 22 + 0 and 25 + 6 weeks. Data obtained included biometry and placental anomalies, uterine and fetal Doppler and neonatal outcome. We excluded those cases with demonstrated structural abnormalities, proven or suspected abnormal karyotype or genetic syndromes. Cases were categorised as uteroplacental insufficiency, evidence of placental damage with normal uterine artery Doppler, viral infection or unclassifiable. RESULTS: 245 cases were included. At diagnosis 201/245 (82%) were categorised as uteroplacental; 13/245 (5.3%) as suspected placental and 30 could not be assigned to any of these categories. Overall, 101/245 (41%) survived; the rate of in utero fetal demise was 89/245 (36%), 22/245 (9%) were neonatal deaths and 33/245 (14%) of pregnancies were terminated. The diagnosis to delivery interval was 8.1 weeks in those that survived, 2.7 weeks in those that died in utero and 3.9 weeks in those that died neonatally. CONCLUSIONS: Over 90% of periviable SGA cases are associated with uteroplacental insufficiency or intraplacental damage. Survival is related to gestation at delivery, with outcomes better than might be assumed at diagnosis and some pregnancies reaching term