Public Integrity Auditing for Dynamic Data Sharing With Multiuser Modification

In cloud storage systems, information proprietors have their information on cloud servers furthermore, clients (information customers) can get to the information from cloud servers. Because of the information outsourcing, be that as it may, this new worldview of information facilitating administration additionally presents new security challenges, which requires an autonomous evaluating administration to check the information honesty in the cloud. In huge scale distributed storage frameworks, the information might be refreshed powerfully, so existing remote uprightness checking strategies served for static chronicle information are no longer appropriate to check the information uprightness. Accordingly, a proficient and secure dynamic inspecting convention is wanted to persuade information proprietors that the information is accurately put away in the cloud. In this section, we initially present an evaluating structure for cloud capacity frameworks. At that point, we depict Third-party Auditing Scheme a proficient and security saving evaluating convention for distributed storage, which can likewise bolster information dynamic operations and cluster reviewing for both various proprietors what's more

Popliteal-crural bypass through the posterior approach with lesser saphenous vein for limb salvage

AbstractPurpose: A review of popliteal-crural bypasses via the posterior approach was done to evaluate the results of this technique. Methods: During a period of 36 months, 21 patients with limb-threatening ischemia underwent 21 popliteal-crural bypasses via the posterior approach in the prone position with reversed lesser saphenous vein. All patients had limb-threatening ischemia, with rest pain in five patients, ulceration in nine patients, and gangrene in seven patients. Diabetes mellitus was present in 17 patients. Results: The inflow site was the supragenicular popliteal artery in 12 patients and the infragenicular popliteal artery in nine patients. The outflow sites were the tibioperoneal trunk in five patients, the posterior tibial artery in six patients, the peroneal artery in eight patients, and the anterior tibial artery in two patients. Of the seven patients with gangrene, three patients underwent transmetatarsal amputation and four underwent toe amputation. The limb salvage rate for the entire group was 100% at 24 months. No early graft failures were seen, and the 12-month and 24-month primary graft patency rates were 89% and 77%, respectively, with life-table analysis. The primary assisted patency rate was 95% at 12 and 24 months. Patency was determined with duplex scan graft surveillance. Conclusion: The posterior approach to popliteal-distal bypass is an acceptable alternative to traditional bypass procedure with excellent early patency and limb salvage results. The approach has the advantage of better utilization of lesser saphenous vein and easier operative exposure in patients with short segment infrapopliteal occlusive disease. (J Vasc Surg 2002;36:708-12.

Statistical Analysis and Deep Learning Associated Modeling for Early stage Detection of Carinoma

The high death rate and overall complexity of the cancer epidemic is a global health crisis. Progress in cancer prediction based on gene expression has increased in light of the speedy advancement using modern high-throughput sequencing methods and a wide range of machine learning techniques, bringing insights into efficient and precise treatment decision-making. Therefore, it is of significant interest to create machine learning systems that accurately identify cancer patients and healthy people. Although several classification systems have been applied to cancer prediction, no single strategy has proven superior. This research shows how to apply deep learning to an optimization method that uses numerous machine learning models. Statistical analysis has helped us choose informative genes, and we've been feeding those to five different categorization models. The results from the five different classifiers are ensembled in the next step using a deep learning technique. The three most common types of adenocarcinoma are those of the lungs, stomach, and breasts. The suggested deep learning-based inter-ensembles model was tested with deep learning-based algorithms on Carcinoma data. The results of the tests show that relative to using only one set of classifiers or the simple consensus algorithm, it improves the precision of cancer prognosis in every analyzed carcinoma dataset. The suggested deep learning-based inter-ensemble approach is demonstrated to be reliable and efficient for cancer diagnosis by entirely using diverse classifiers

Role of Alvarado score in the diagnosis of acute appendicitis

Acute appendicitis is a surgical emergency, which is associated with morbidity and mortality occasionally. If failed to diagnose early the situation may become more complicated. In acute appendicitis it is not possible to have definitive diagnosis by histopathology preoperatively, we would like a simple test like Alvarado scoring system which depends on the presence and absence of certain variable, which provides an accurate guide to whether or not the patient has the condition. Hence, accurate diagnosis and timely intervention is needed. Therefore, the present study was conducted to evaluate the Alvarado scoring system in diagnosing acute appendicitis and its co relation with histopathology. This prospective study was conducted in 100 consecutive patients admitted in the department of general surgery of Narayana Medical College, Nellore with the clinical diagnosis of acute appendicitis. The findings based on the Alvarado score indicate that 68% of the subjects had a score of more than 7 and 22% of the subjects had a score between 5 and 7. Only 10% of the subjects had a score between 1 and 4. Out of 83 eligible subjects 75 were found to have acute appendicitis by histopathological examination. Negative appendicectomy was very low representing up to 9.6% whereas the percentage of positive predictive value was high representing up to 90.4%. Although the diagnosis of acute appendicitis remains mainly clinical evaluation, the scoring system is easy, simple and cheap complementary aid for supporting the diagnosis of acute appendicitis

Easy Authoring of Intelligent Tutoring Systems for Synthetic Environments

ABSTRACT: We describe how the Extensible Problem Specifi

MgAICO3-HT catalyzed ring opening of oxiranes with TMSN3

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Role of magnetic resonance imaging in distinguishing fungal from nonfungal multiple brain abscesses

AbstractCladophialophora bantiana is a neurotropic dematiaceous fungus known for affecting immunocompromised and immunocompetent hosts. We report a case of 24year old immunocompetent male presenting with headache, fever and vomiting. MRI was suggestive of multiple fungal brain abscesses. He underwent total excision of abscesses. Pus culture was suggestive of brain abscess caused by C. bantiana. We report a culture proven case of C. bantiana emphasizing on specific MRI features which are critical in differentiating fungal from nonfungal brain abscesses

EFFICIENT SECRECY MAINTAINING CERTIFICATION SCHEME FOR VANET

Abstract VANET are one of the new promising techniques used to enable communication on roads. Here for VANETs an efficient secrecy maintaining authentication scheme is done .To detect anonymous authentication group signature is used widely used but in previous scheme it suffers from long computation delay in CRL (certificate revocation list) checking. It leads to a high message loss.so they cannot achieve the target of receiving 100 of messages per second.so HMAC is used here to avoid time consuming CRL checking and to ensure the integrity of messages before batch group authentication. To reduce authentication burden each vehicle needs to verify a small number of messages using cooperative message authentication among entities. Hence security and performance analysis shows that our scheme is more efficient in terms of authentication speed by keeping conditional privacy in VANETs. Thus the proposed scheme is analyzed through simulations in NS2 and proved to out performs the existing available techniques. Keywords-Vehicular Ad Hoc Network (VANET), CRL(Certificate Revocation List)HMAC(Hash Message Authentication Code),Cooperative Message Authentication. 1. Introduction In the advanced development of wireless communication technologies, car manufactures and telecom industries help to equip each vehicle with wireless devices. It allows vehicles to communicate with each other as well as with other vehicles network communication devices like road side units (RSU) and Trustedauthority (TA)etc. Generally a VANET consists of three components they are onboard units, Road side units and a central trusted authority. In VANET when vehicles communicate with each other and also with RSU and TA in which the attackers can easily get users private information such as identity, tracing etc. The reason is that they are not properly protected so we should design an efficiency secrecy maintaining authentication scheme for VANET. In previous scheme group signature is used for detecting unknown authentication so for which any group member allows to sign behalf of the group without reveling its real identity. So when a vehicle receives a message from unknown entity, a vehicle has to check the (certificate revocation list) CRL to avoid communicate with revoked vehicles. Also To verify the sender's group signature to check the validity of the received message. The problem here occurs is the time consuming for CRL checking because it takes 11ms to verify a message with a group signature and 9ms to check one identity in CRL. If n revoked number in CRL th number of messages verified in one second is 1000/9n+1 it is very smaller than the target of verifying 600.so we should try to overcome the delay caused by CRL checking and group signature verification to achieve rapid authentication. Thus an efficient privacy authentication scheme for VANET has been done through RSU by jointly using the techniques of distributed management, HMAC, group signature verification and cooperative authentication. First dividing the precinct into several domains so the system can run in a localized manner. Then HMAC is calculated with group key generated by the self-healing group-key generation algorithm which reduces time consuming CRL checking and ensure the integrity of messages before batch verification. Then cooperative message authentication is used to improve the message authentication scheme .By using these P.Anand Sateesh Kumar et al

Biallelic ADAM22 pathogenic variants cause progressive encephalopathy and infantile-onset refractory epilepsy

Pathogenic variants in A Disintegrin And Metalloproteinase (ADAM) 22, the postsynaptic cell membrane receptor for the glycoprotein leucine-rich repeat glioma-inactivated protein 1 (LGI1), have been recently associated with recessive developmental and epileptic encephalopathy. However, so far, only two affected individuals have been described and many features of this disorder are unknown. We refine the phenotype and report 19 additional individuals harboring compound heterozygous or homozygous inactivating ADAM22 variants, of whom 18 had clinical data available. Additionally, we provide follow-up data from two previously reported cases. All affected individuals exhibited infantile-onset, treatment-resistant epilepsy. Additional clinical features included moderate to profound global developmental delay/intellectual disability (20/20), hypotonia (12/20), delayed motor development (19/20). Brain MRI findings included cerebral atrophy (13/20), supported by post-mortem histological examination in patient-derived brain tissue, cerebellar vermis atrophy (5/20), and callosal hypoplasia (4/20). Functional studies in transfected cell lines confirmed the deleteriousness of all identified variants and indicated at least three distinct pathological mechanisms: defective cell membrane expression (1), impaired LGI1-binding (2), and/or impaired interaction with the postsynaptic density protein PSD-95 (3). We reveal novel clinical and molecular hallmarks of ADAM22 deficiency and provide knowledge that might inform clinical management and early diagnostics

Biallelic ADAM22 pathogenic variants cause progressive encephalopathy and infantile-onset refractory epilepsy

Pathogenic variants in A Disintegrin And Metalloproteinase (ADAM) 22, the postsynaptic cell membrane receptor for the glycoprotein leucine-rich repeat glioma-inactivated protein 1 (LGI1), have been recently associated with recessive developmental and epileptic encephalopathy. However, so far, only two affected individuals have been described and many features of this disorder are unknown. We refine the phenotype and report 19 additional individuals harbouring compound heterozygous or homozygous inactivating ADAM22 variants, of whom 18 had clinical data available. Additionally, we provide follow-up data from two previously reported cases. All affected individuals exhibited infantile-onset, treatment-resistant epilepsy. Additional clinical features included moderate to profound global developmental delay/intellectual disability (20/20), hypotonia (12/20) and delayed motor development (19/20). Brain MRI findings included cerebral atrophy (13/20), supported by post-mortem histological examination in patient-derived brain tissue, cerebellar vermis atrophy (5/20), and callosal hypoplasia (4/20). Functional studies in transfected cell lines confirmed the deleteriousness of all identified variants and indicated at least three distinct pathological mechanisms: (i) defective cell membrane expression; (ii) impaired LGI1-binding; and/or (iii) impaired interaction with the postsynaptic density protein PSD-95. We reveal novel clinical and molecular hallmarks of ADAM22 deficiency and provide knowledge that might inform clinical management and early diagnostics. Van der Knoop et al. describe the clinical features of 21 individuals with biallelic pathogenic variants in ADAM22 and confirm the deleteriousness of the variants with functional studies. Clinical hallmarks of this rare disorder comprise progressive encephalopathy and infantile-onset refractory epilepsy.Peer reviewe