Development of Java based graphical user interface for Diagnosis of Hepatitis UsingI Mixture of Expert

Hepatitis is deadly, and the fifth leading cause of death after heart disease, stroke, chest disease and cancer. Worldwide, 1.5 million deaths per year have been estimated. Detection of hepatitis is a big problem for general practitioners. An expert doctor commonly makes decisions by evaluating the current test results of a patient or by comparing the patient with others with the same condition with reference to the previous decisions. Many machine learning and data mining techniques have been designed for the automatic diagnosis of hepatitis. However, no one tool is available to the general population for the diagnosis of Hepatitis. Hence, a graphical user interface-enabled tool needs to be developed, through which medical practitioners can feed patient data easily and find hepatitis diagnoses instantly and accurately. 
Methods: In this study a hepatitis dataset was taken from the UCI machine repository database with a total of 20 attributes of two classes, Affected and Not Affected. 
Results and Conclusion: The models have been generated with a mixture of experts as a classification method for the diagnosis of hepatitis. Very good accuracy has been observed in the generated models. Finally, the model having the least minimum square error was selected. This model was then linked with GUI for the design of tools for hepatitis prediction

Molecular modelling and Function Prediction of hABH7, human homologue of _E. coli_ ALKB7

Human homologues of ALKB protein have shown the prime role in DNA damaging drugs, used for cancer therapy. Little is known about structure and function of hABH7, one of the members of this superfamily. Therefore, in the present study we intend to predict its structure and function using various bioinformatics tools. Modeling was done with modeller 9v7 to predict the 3D structure of the hABH7 protein. The tertiary structure model of hABH7, ALKBH7.B99990002.pdb was predicted and evaluated. Validation results showed 97.8% residues in favored and additional allowed regions of Ramachandran plots. Ligand binding residues prediction showed four ligand clusters, having 25 ligands in cluster 1. Importantly, presence of a Phe120-Gly121-Gly122 conserved pattern in the functional domain was detected. In the predicted structural model of hABH7, amino acid residues, Arginine at 57, 58, 59 and 60 along with tyrosine at 61 were predicted in RNA binding sites of the model. The predicted and validated model of human homologue hABH7 resulting from this study may unveil the mechanism of DNA damage repair in humans and accelerate the research on designing appropriate inhibitors aiding in chemotherapy and cancer related diseases

Structure and function prediction of human homologue hABH5 of _E. coli_ ALKB5 using in silico approach

Newly discovered human homologues of ALKB protein have shown the activity of DNA damaging drugs, used for cancer therapy. Little is known about the structure and function of hABH5, one of the members of this superfamily. Therefore, in the present study we intend to predict its structure and function using various bioinformatics tools. Modeling was done with modeler 9v7 to predict the 3D structure of the hABH5 protein. 3-D model of hABH5, ALKBH5.B99990005.pdb was predicted and evaluated. Validation results showed 96.8% residues in favor and an additional allowed region of the Ramachandran plot. Ligand binding residues prediction showed four ligand clusters, having 25 ligands in cluster 1. Importantly, conserved pattern of Pro158-X-Asp160-Xn-His266 in the functional domain was detected. DNA and RNA binding sites were also predicted in the model. The predicted and validated model of human homologue hABH5 resulting from this study may unveil the mechanism of DNA damage repair in humans and accelerate research on designing appropriate inhibitors, aiding in chemotherapy and cancer related diseases

The Public Square Has Eyes (or Cameras): Anonymous Speech Under the First and Fourth Amendments in the Age of Facial Recognition

Winner of Penn Law\u27s 2022 Fred G. Leebron Memorial Prize for the best paper in the field of constitutional law

Self-healing unitarity is an Optical illusion: Comment on "Self-healing of unitarity in effective field theories and the onset of new physics"

Among the vast variety of proposals put forward by the community to resolve tree-level unitarity violations in Higgs inflation models, there exists the concept of self-healing. This mechanism helps cancel out tree-level violations for elastic scattering processes by summing over successive vacuum polarization loop corrections. In this comment, we shall see how self-healing is a manifestation of the optical theorem for a theory tailored to behave in a certain way.Comment: 4 pages; 1 figur

The Public Square Has Eyes (or Cameras): Anonymous Speech Under the First and Fourth Amendments in the Age of Facial Recognition

Facial recognition technology (“FRT”)—once a futuristic fantasy—is more pervasive than ever and shows no signs of becoming less prevalent. While this technology has its upsides, it elicits the notion of an omnipresent being that is watching and tracking us all the time. FRTs encroach on the First Amendment right to anonymous speech by revealing the identity of speakers and chilling speech. Yet, First Amendment doctrine does not provide much solace, since the right to anonymous speech regulates the government’s ability to force disclosure of a speaker’s identity rather than preventing it from collecting publicly available facial data. The right to anonymous speech also clashes with private actors’ right to collect and disseminate information, which provides an avenue for private actors to destroy anonymity. And private actors’ First Amendment rights allow them to collect and develop FRT they can use in private spaces. In addition to inadequate speech rights, litigating FRTs’ impacts on the right to anonymous speech is likely to face significant barriers in court. Specifically, plaintiffs will find it hard to show they have been affected by these systems and that their speech has been chilled, giving them no standing. Further, courts’ deference to the legislative and executive branches on issues of crime control and national security might justify an encroachment on the right to anonymous speech. Finally, private parties’ rights to collect and disseminate information pose serious barriers to challenge privately-operated FRTs and provides the government an additional avenue to gather facial data and track individuals. Prophylactic legislation is a stronger solution to remedy the issues caused by FRT. Such legislation can regulate the government’s use of FRT, private actors’ implementations of FRT, and the very creation of FRTs themselves

Formula Unjust: What Formula One Can Learn from the American Justice System to Improve Stewarding

Formula One (F1), the highest form of motorsport, is one of the fastest-growing sports in the United States, attracting millions of viewers and billions of dollars in investment and prize money. But recent events in F1 have raised questions about the fairness of the sport. This Article contends that the current system of officiating creates unfair outcomes, because officials have overwhelming discretion to make pivotal decisions that significantly impact the outcome of races, and because penalties are applied inconsistently and cannot be appealed. Given the increased professionalization of F1 and the high financial stakes involved, these problems need to be remedied. This Article takes cues from the U.S. justice system to propose three solutions: limits to the executive discretion of Officials, a standardization of penalties, and a formalized appellate system for penalties

Structure and function prediction of human homologue hABH5 of _E. coli_ ALKB5 using in silico approach

Newly discovered human homologues of ALKB protein have shown the activity of DNA damaging drugs, used for cancer therapy. Little is known about the structure and function of hABH5, one of the members of this superfamily. Therefore, in the present study we intend to predict its structure and function using various bioinformatics tools. Modeling was done with modeler 9v7 to predict the 3D structure of the hABH5 protein. 3-D model of hABH5, ALKBH5.B99990005.pdb was predicted and evaluated. Validation results showed 96.8% residues in favor and an additional allowed region of the Ramachandran plot. Ligand binding residues prediction showed four ligand clusters, having 25 ligands in cluster 1. Importantly, conserved pattern of Pro158-X-Asp160-Xn-His266 in the functional domain was detected. DNA and RNA binding sites were also predicted in the model. The predicted and validated model of human homologue hABH5 resulting from this study may unveil the mechanism of DNA damage repair in humans and accelerate research on designing appropriate inhibitors, aiding in chemotherapy and cancer related diseases

An analysis of relaparotomy in operative obstetrics

Background: Relaparotomy in obstetrics following caesarean section or laparotomy is associated with high morbidity and mortality and hence, considered as maternal near miss. Selection of patient for the same is crucial. This study was done to know the incidence, indications, the risk factors, intraoperative procedures and mortality rates of relaparotomy.Methods: A retrospective analysis of relaparotomy after primary obstetric surgery over a period of two and half years (June 2016 to November 2018) was done in department of obstetrics and gynecology of Rajendra Institute of Medical Sciences, Ranchi, India.Results: During study period 28 cases of relaparotomy (18 inhouse and 10 referred cases) were identified. The incidence of relaparotomy was 0.24%. Intraperitoneal hemorrhage (39.2%) was commonest indication of reoperations followed by PPH (17.8%), rectus sheath hematoma (14.8%) and burst abdomen (10.7%). Obstructed labor (32.1%) was commonest indication of primary cesarean. Hysterectomy was required in 8 cases (25.7%), evacuation of blood for hemoperitoneum was required in another 8 cases. Most cases of hemorrhage were reopened within 24 hours, whereas most case of the rectus sheath hematoma, burst abdomen, and broad ligament hematoma were reopened between 5-9 days.Conclusions: Relaparotomy is often a lifesaving procedure. Decision to perform and manage relaparotomy should always be done by senior obstetricians. Meticulous surgical techniques to secure hemostasis at time of primary surgery should be adopted. Strict postoperative vigilance, is of utmost importance for early detection of intraperitoneal hemorrhage and other complications requiring relaparotomy as timely intervention