Student Assistant Portal

There is no communication medium which is beneficent to all the people in the college through which they can share their ideas, information and have a personal account where they can save some stuff which is helpful in future. So our aim is to provide an application which provides a good interaction between all members of the college and is available for them anywhere. This is an application which provides a common solution for personal library, schedule our work and Forum. The project is meant for web based which allow the users to access it from anywhere as most of them carry smart phones with them. The proposed project is to help learn subject efficiently with connected to the university network : Faculty, Students, Management and other department

Real-Time Human Detection for Aerial Captured Video Sequences via Deep Models

Human detection in videos plays an important role in various real life applications. Most of traditional approaches depend on utilizing handcrafted features which are problem-dependent and optimal for specific tasks. Moreover, they are highly susceptible to dynamical events such as illumination changes, camera jitter, and variations in object sizes. On the other hand, the proposed feature learning approaches are cheaper and easier because highly abstract and discriminative features can be produced automatically without the need of expert knowledge. In this paper, we utilize automatic feature learning methods which combine optical flow and three different deep models (i.e., supervised convolutional neural network (S-CNN), pretrained CNN feature extractor, and hierarchical extreme learning machine) for human detection in videos captured using a nonstatic camera on an aerial platform with varying altitudes. The models are trained and tested on the publicly available and highly challenging UCF-ARG aerial dataset. The comparison between these models in terms of training, testing accuracy, and learning speed is analyzed. The performance evaluation considers five human actions (digging, waving, throwing, walking, and running). Experimental results demonstrated that the proposed methods are successful for human detection task. Pretrained CNN produces an average accuracy of 98.09%. S-CNN produces an average accuracy of 95.6% with soft-max and 91.7% with Support Vector Machines (SVM). H-ELM has an average accuracy of 95.9%. Using a normal Central Processing Unit (CPU), H-ELM’s training time takes 445 seconds. Learning in S-CNN takes 770 seconds with a high performance Graphical Processing Unit (GPU)

Fair bandwidth assignment in hierarchical scheduling for mobile WiMAX system

The increasing demands for multimedia applications with various QoS requirements arouse the interest of researchers in the Fourth-generation wireless networks such as WiMAX. In order to ensure that the QoS requirements of these applications are met, effective scheduling algorithms must be designed. Even though it may be trivial to ensure that the minimum QoS of all service classes is attained, this often results in a marked degradation of the overall system throughput. In this paper, we propose a fair bandwidth assignment algorithm that allocates the bandwidth among different services classes based on a hierarchical scheduler. By taking the overall system throughput and the QoS requirements into consideration, our proposed algorithm dynamically assigns the available bandwidth to the various service classes in such a way that the network resource utilization is optimized. Simulations result showed that the proposed algorithm optimize the overall system throughput and assigns bandwidth effectively to the different service classes while ensuring that the QoS requirements are satisfied

Two-dimensional burst construction with QoS assurance for OFDMA mobile WiMAX system

IEEE 802.16 OFDMA systems have gained much attention for their ability to support high transmission rates and broadband services. For multiuser environments, IEEE 802.16 OFDMA systems require a resource allocation algorithm to use the limited downlink resource efficiently. One of the main problems to increase the resource utilization and throughput is how to construct two-dimensional blocks that realize time and frequency dimensions to multi-users. However, mapping a rectangular shape (i.e. two-dimensional burst) that not enough to utilize some flows in downlink frame, decreases total throughput and is crucial for Quality of Service (QoS) that support real-time applications. In this paper, we propose a low complexity algorithm called Best Edge Block Oriented (BEBO) which complies with 802.16 downlink burst characteristics with assurance of real time throughput. The proposed algorithm reduce the unserved slots by assembling bursts in the edge of the free spaces for reducing outdoor spaces from other bursts; and enlarge the internal burst size gradually to minimize the internal free spaces for a given request size with priority level and channel state information considerations. Simulation results show that the burst construction mechanism result is competitive

A novel cell-selection optimization handover for long-term evolution (LTE) macrocellusing fuzzy TOPSIS

To satisfy the demand for higher data rate while maintaining the quality of service, a dense long-term evolution (LTE) cells environment is required. This imposes a big challenge to the network when it comes to performing handover (HO). Cell selection has an important influence on network performance, to achieve seamless handover. Although a successful handover is accomplished, it might be to a wrong cell when the selected cell is not an optimal one in terms of signal quality and bandwidth. This may cause significant interference with other cells, handover failure (HOF), or handover ping-pong (HOPP), consequently degrading the cell throughput. To address this issue, we propose a multiple-criteria decision-making method. In this method, we use an integrated fuzzy technique for order preference by using similarity to ideal solution (TOPSIS) on S-criterion, availability of resource blocks (RBs), and uplink signal-to-interference-plus-noise ratio. The conventional cell selection in LTE is based on S-criterion, which is inadequate since it only relies on downlink signal quality. A novel method called fuzzy multiple-criteria cell selection (FMCCS) is proposed in this paper. FMCCS considers RBs utilization and user equipment uplink condition in addition to S-criterion. System analysis demonstrates that FMCCS managed to reduce handover ping-pong and handover failure significantly. This improvement stems from the highly reliable cell-selection technique that leads to increased throughput of the cell with a successful handover. The simulation results show that FMCCS outperforms the conventional and cell selection scheme (CSS) methods

Haematologic Parameters In Acute Promyelocytic Leukemia Patients Treated With ALL Trans- Retinoic acid

Background: Acute Promyelocytic Leukemia (APL) is commonly associated with disseminated intravascular coagulation (DIC) and early correction of coagulopathy is of vital importance. All Trans-Retinoic Acid (ATRA) is considered to be the drug of choice in the treatment of APL.  Objective: The work was conducted to 1- Identify patients with APL who show laboratory evidence of DIC. 2- Study the serial changes in haemostatic parameters in APL patients treated with ATRA and to compare their results with those treated with conventional chemotherapy without ATRA. Subjective and methods: In this prospective study (from October 2003 to October 2005), 44 newly diagnosed, untreated APL patients were included. ATRA plus chemotherapy – treated patients were 24 while 17 patients were treated with chemotherapy other than ATRA. For each patient, a full clinical evaluation was done and hematological investigations were accomplished at time of diagnosis and repeated on day 3 and 7 of therapy. Diagnosis of DIC was based on finding a positive D- dimer test with hypofibrinogenaemia with or without pathologically prolonged (PT and/or APTT). Results: In 44 newly diagnosed, untreated APL patients studied, the age range between 6-81 years with a median of 27 years. Male to female ratio was 1.3:1. Before treatment all patients had anemia, thrombocytopenia, and elevated level of D – dimer. DIC was present in all patients at time of diagnosis. All parameters that showed abnormal level at time of diagnosis had returned to normality within one week in ATRA treated group, indicating that DIC has essentially resolved. By contrast, those parameters remained abnormal even on day 7 in the chemotherapy treated group. Indicating that DIC was on going. Conclusion: ATRA therapy in APL patients is associated with rapid improvement of coagulopathy therefore , it is justified to be used from day one of the treatment

ANTIPSYCHOTICS- CLASSIFICATION, USES, AND ADVERSE EFFECTS

Introduction: Antipsychotic agents are categorized usually as either “typical antipsychotics” or “atypical antipsychotics”. Typical antipsychotic pharmacological agents, which are also called first-generation antipsychotics or traditional antipsychotics, include chlorpromazine and haloperidol. On the other hand, atypical antipsychotic pharmacological agents, which are also called second generation antipsychotics, include risperidone, quetiapine, and olanzapine. Both typical and atypical antipsychotics work in similar mechanisms by inhibiting the activation of specific receptors in the dopamine pathway.Aim of work: In this review, we will discuss the antipsychotics- classification, uses, and adverse effects, Methodology: We did a systematic search for antipsychotics- classification, uses, and adverse effects using PubMed search engine (http://www.ncbi.nlm.nih.gov/) and Google Scholar search engine (https://scholar.google.com). All relevant studies were retrieved and discussed. We only included full articles.Conclusions: The prescription of atypical antipsychotic agents, like quetiapine and olanzapine, has been significantly increasing and in many conditions, they are sometimes prescribed “off-label” – which is a worrying trend due to their possible risk of developing harmful adverse events. Therefore, atypical antipsychotic agents must only be used in their specific indications and with caution, especially among older patients and young adults. Atypical antipsychotic agents can be indicated for schizophrenia treatment and other associated conditions and in some cases to treat the behavioral and psychological manifestations related to dementia (risperidone only). Antipsychotics are not first-line treatments for patients with anxiety and are not generally recommended for the use in patients with posttraumatic stress disorder or insomnia. Key words: antipsychotics, classification, uses, and adverse effects

Novel quinazoline-based sulfonamide derivative (3D) induces apoptosis in colorectal cancer by inhibiting JAK2–STAT3 pathway

Introduction: Colorectal cancer (CRC) is a major worldwide health problem owing to its high prevalence and mortality rate. Developments in screening, prevention, biomarker, personalized therapies and chemotherapy have improved detection and treatment. However, despite these advances, many patients with advanced metastatic tumors still succumb to the disease. New anticancer agents are needed for treating advanced stage CRC as most of the deaths occur due to cancer metastasis. A recently developed novel sulfonamide derivative 4-((2-(4-(dimethylamino) phenyl)quinazolin-4-yl)amino)benzenesulfonamide (3D) has shown potent antitumor effect; however, the mechanism underlying the antitumor effect remains unknown. Materials and methods: 3D-mediated inhibition on cell viability was evaluated by MTT and real-time cell proliferation was measured by xCelligence RTDP instrument. Western blotting was used to measure pro-apoptotic, anti-apoptotic proteins and JAK2-STAT3 phosphorylation. Flow cytometry was used to measure ROS production and apoptosis. Results: Our study revealed that 3D treatment significantly reduced the viability of human CRC cells HT-29 and SW620. Furthermore, 3D treatment induced the generation of reactive oxygen species (ROS) in human CRC cells. Confirming our observation, N-acetylcysteine significantly inhibited apoptosis. This is further evidenced by the induction of p53 and Bax; release of cytochrome c; activation of caspase-9, caspase-7 and caspase-3; and cleavage of PARP in 3D-treated cells. This compound was found to have a significant effect on the inhibition of antiapoptotic proteins Bcl2 and BclxL. The results further demonstrate that 3D inhibits JAK2–STAT3 pathway by decreasing the constitutive and IL-6-induced phosphorylation of STAT3. 3D also decreases STAT3 target genes such as cyclin D1 and survivin. Furthermore, a combination study of 3D with doxorubicin (Dox) also showed more potent effects than single treatment of Dox in the inhibition of cell viability. Conclusion: Taken together, these findings indicate that 3D induces ROS-mediated apoptosis and inhibits JAK2–STAT3 signaling in CRC

Managing Chronic Diseases in Family Medicine: Best practices and Evidence-Based Approaches

The management of chronic diseases within the realm of family medicine presents a multifaceted challenge with profound implications for healthcare systems and patients alike. Chronic diseases, such as diabetes, hypertension, and cardiovascular conditions, are prevalent and impose a significant burden on individuals, families, and society as a whole. This article explores best practices and evidence-based approaches for managing chronic diseases in family medicine. It delves into the epidemiological landscape of chronic illnesses, emphasizing the need for effective prevention and management strategies. Evidence-based Models, such as The Chronic Care Model (CCM), Patient-Centered Medical Home (PCMH), and Self-assessment models are discussed in the context of family medicine. The importance of comprehensive, coordinated, and patient-centric approaches is underscored, highlighting the pivotal role of primary care physicians in the ongoing battle against chronic diseases. It is clear, that development in the field of family medicine underscores the importance of patient involvement in diseases management process through shared-decision making model. Although such model require physicans to spend more time educating patients so they can make informed decisions and implement self-management strategies, it has overall better health outcomes and eventually needs to requiring less intervention by physicians