Development of Temporal Model for Forecasting of Helicoverpa armigera (Noctuidae: Lepidopetra) Using Arima and Artificial Neural Networks.

Helicoverpa armigera (Hübner) (Noctuidae: Lepidopetra) is a polyphagous pest of major crops grown in India. To prevent the damage caused by H. armigera farmers rely heavily on insecticides of diverse groups on a regular basis which is not a benign practice, environmentally and economically.

Data-Driven Deep Supervision for Medical Image Segmentation.

Medical image segmentation plays a vital role in disease diagnosis and analysis. However, data-dependent difficulties such as low image contrast, noisy background, and complicated objects of interest render the segmentation problem challenging. These difficulties diminish dense prediction and make it tough for known approaches to explore data-specific attributes for robust feature extraction.

Objective Outcome Measures for Trials in Patients With Chronic Limb-Threatening Ischemia Across 2 Decades: Analysis and Recommendations.

Chronic limb-threatening ischemia (CLTI) is prevalent and associated with morbidity and mortality. The published research concerning CLTI therapeutics is evolving. The goals of this review are to: 1) summarize the endpoints that are being used in trials assessing interventions for patients with CLTI; and 2) review gaps and discrepancies in current outcome definitions.

VTG-Net: A CNN Based Vessel Topology Graph Network for Retinal Artery/Vein Classification.

From diagnosing cardiovascular diseases to analyzing the progression of diabetic retinopathy, accurate retinal artery/vein (A/V) classification is critical. Promising approaches for A/V classification, ranging from conventional graph based methods to recent convolutional neural network (CNN) based models, have been known. However, the inability of traditional graph based methods to utilize deep hierarchical features extracted by CNNs and the limitations of current CNN based methods to incorporate vessel topology information hinder their effectiveness.

Design and Assessment of Convolutional Neural Network Based Methods for Vitiligo Diagnosis.

Today's machine-learning based dermatologic research has largely focused on pigmented/non-pigmented lesions concerning skin cancers. However, studies on machine-learning-aided diagnosis of depigmented non-melanocytic lesions, which are more difficult to diagnose by unaided eye, are very few. We aim to assess the performance of deep learning methods for diagnosing vitiligo by deploying Convolutional Neural Networks (CNNs) and comparing their diagnosis accuracy with that of human raters with different levels of experience.

Vascular Access for Large Bore Access.

Recent advances in the field of interventional cardiology have allowed for more complex procedures to be performed percutaneously. Ability to obtain safe large bore vascular access is frequently the key factor to procedural success. Meticulous technique for successful vascular access incorporates the understanding of anatomic landmarks, ultrasound, fluoroscopy, and micropuncture.

Identification and Characterization of a Strain and Its Secondary Metabolite Organophosphate against Charcoal Rot of Sorghum.

strain CAI-21 has been previously reported to have plant growth-promotion abilities in chickpea, pigeonpea, rice, and sorghum. The strain CAI-21 and its secondary metabolite were evaluated for their biocontrol potential against charcoal rot disease in sorghum caused by . Results exhibited that CAI-21 significantly inhibited the growth of the pathogen, , in dual-culture (15 mm; zone of inhibition), metabolite production (74% inhibition), and blotter paper (90% inhibition) assays.

Development of a dense genetic map and QTL analysis for pod borer Helicoverpa armigera (Hübner) resistance component traits in chickpea (Cicer arietinum L.).

Genetic enhancement for resistance against the pod borer, Helicoverpa armigera is crucial for enhancing production and productivity of chickpea. Here we provide some novel insights into the genetic architecture of natural variation in H. armigera resistance in chickpea, an important legume, which plays a major role in food and nutritional security.

Cangrelor and Heparin for Pulmonary Thromboendarterectomy in Heparin-Induced Thrombocytopenia.

Perioperative anticoagulation management for patients with heparin-induced thrombocytopenia requiring cardiopulmonary bypass and deep hypothermic circulatory arrest presents a clinical challenge. Alternative anticoagulants have been used but can cause significant postoperative bleeding. We report the successful use of cangrelor and heparin in a 30-year-old patient with severe heparin-induced thrombocytopenia undergoing urgent pulmonary thromboendarterectomy.

Prolonged Delayed Renal Graft Function Secondary to Venous Hypertension.

The case of a 39-year-old highly sensitized woman who underwent second renal transplantation after being on warfarin because of a history of frequent thromboses of her left femoral arteriovenous graft (AVG) is reported here. The patient received a flow cytometric positive crossmatch kidney transplant from a deceased donor. Her posttransplant course was complicated by prolonged delayed graft function (DGF) lasting for 9 months.

Restoration of immune surface molecules in Kaposi sarcoma-associated herpes virus infected cells by lenalidomide and pomalidomide.

Kaposi sarcoma-associated herpesvirus (KSHV) is the cause of several tumors, including Kaposi sarcoma and primary effusion lymphoma (PEL). Most viruses have evolved means of escaping immune recognition. KSHV downregulates MHC-I expression during lytic infection, and expression of ICAM-1 and B7-2 (CD86) during latent infection, allowing evasion of T cell and natural killer immunity respectively.

Tacrolimus-Induced Type IV Renal Tubular Acidosis following Liver Transplantation.

Calcineurin inhibitors remain an integral component of immunosuppressive therapy regimens following solid organ transplantation. Although nephrotoxicity associated with these agents is well documented, type IV renal tubular acidosis is a rare and potentially underreported complication following liver transplantation. Hepatologists must be able to recognize this adverse effect as it can lead to fatal hyperkalemia.

Determination of Optimal Coronary Flow for the Preservation of "Donation after Circulatory Death" in Murine Heart Model.

Donation after circulatory death donors (DCD) have the potential to increase the number of heart transplants. The DCD hearts undergo an extended period of warm ischemia, which mandates the use of machine perfusion preservation if they are to be successfully recovered for transplantation. Because the minimum coronary artery flow needed to meet the basal oxygen demand (DCRIT) of a DCD heart during machine perfusion preservation is critical and yet unknown, we studied this in a DCD rat heart model.