Miracle-dz/UniFAR-FTUs huggingface dataset:
Saliency Tree: Saliency Detection Method Integrating Diffusion-Based Compactness And Local Contrast

: Salient region detection is a challenging problem and an important topic in computer vision. It has a wide range of applications, such as object recognition and segmentation. The proposed method is a bottom-up salient region detection method that integrates compactness and local contrast cues. Furthermore, to produce a pixel-accurate saliency map that more uniformly covers the salient objects, we propagate the saliency information using a diffusion process. Next, a saliency-directed region merging approach with dynamic scale control scheme is proposed to generate the saliency tree, in which each leaf node represents a primitive region and each non-leaf node represents a non primitive region generated during the region merging process. Finally, by exploiting a regional center-surround scheme based node selection criterion, a systematic saliency tree analysis including salient node selection, regional saliency adjustment and selection is performed to obtain final regional saliency measures and to derive the high-quality pixel-wise saliency map. The compactness and uniqueness of the extracted salient object is high by incorporating this method.
ANTHELMINTIC ACTIVITY OF THE LEAVES OF MURRAYA KOENIGII LINN AND MUSSAENDA FRONDOSA LINN

The aim of the present study was to evaluate the anthelmintic potential of crude extracts of leaves of Murraya koenigii and Mussaenda frondosa in different fractions namely petroleum ether, chloroform and methanol using Pheretima posthuma (Annelida) as test worms. Various concentrations (2.5-20.0 mg /ml) of the different fractions were tested in the bioassay which involved determinations of the time of paralysis (P) and the time of death (D) of the worms. Albendazole (10.0mg / ml) solution was included as standard reference and Tween 80 (0.1%) as control . The result of the present study indicated that the petroleum ether, chloroform and methanolic fractions of Murraya koenigii and Mussaenda frondosa significantly demonstrated the slowing down of the movement and caused death of the worms at a concentration of 20.0mg /ml as compared to the standard reference, Albendazole. MFC fractions showed the minimum time required for death. In conclusion, the traditional use of the Murraya koenigii and Mussaenda frondosa as an anthelmintic has been confirmed and further studies are suggested to isolate the active principles responsible for the activity.
Facing Challenges on Demand Forecasting: Dealing With Short Data in the Petrochemical Industry

This article aims to verify how a fuels distributor industry operates and plans forecast demand for gasoline and diesel, which are responsible for most of the operating losses. Through a case study, the findings suggest that the company has a shortage in this process, considering that does not use mathematical models and methods or specific systems in the industry to make decisions, based only on the opinion and advice of managers. The research results has shown that the application of known techniques of forecasting can bring some advantage to the organization, understanding that only knowledge and professional experience are factors that should not be worked out in a standardized manner. Its association with mathematical models and methods can improve the company’s result.
Combining the Tactile Resonance Method and Raman Spectroscopy for Tissue Characterization towards Prostate Cancer Detection

Prostate cancer (PCa) is the most common male cancer in Europe and the US, and only lung and colorectal cancer have a higher mortality among European men. In Sweden, PCa is the most common cause of cancer-related death for men.The overall aim of this thesis was to explore the need for new and complementary methods for PCa detection and to take the first step towards a novel approach: combining the tactile resonance method (TRM) and Raman spectroscopy (RS). First, the main methods for PCa detection were reviewed. Second, to establish a robust protocol for RS experiments in vitro, the effects of snap-freezing and laser illumination on porcine prostate tissue were studied using RS and multivariate statistics. Third, measurements on porcine and human tissue were performed to compare the TRM and RS data via multivariate techniques, and to assess the accuracy of classifying healthy and cancerous tissue using a support vector machine algorithm.It was concluded through the literature review that the gold standard for PCa detection and diagnosis, the prostate specific antigen test and systematic biopsy, have low sensitivity and specificity. Indolent and aggressive tumors cannot be reliably differentiated, and many men are therefore treated either unnecessarily or too late. Clinical benefits of the state–of–the–art in PCa imaging – advanced ultrasound and MR techniques – have still not been convincingly shown. There is a need for complementary and cost-effective detection methods. TRM and RS are promising techniques, but hitherto their potential for PCa detection have only been investigated in vitro.In the RS study no evidence of tissue degradation due to 830 nm laser illumination at an irradiance of â? 3 Â· 1010 W mâ? 2 were found. Snap-freezing and subsequent storage at â? 80â? C gave rise to subtle but significant changes in Raman spectra, most likely related to alterations in the protein structure. The major changes due to PCa do not seem to be related to the protein structure, hence snap-freezing may be applied in our experiments.The combined measurements on porcine and human prostate tissue showed that RS provided additional discriminatory power to TRM. The classification accuracy for healthy porcine prostate tissue, and for healthy and cancerous human prostate tissue, was > 73%. This shows the power of the support vector machine applied to the combined data.In summary, this work indicates that an instrument combining TRM and RS is a promising complementary method for PCa detection. Snap-freezing of samples may be used in future RS studies of PCa. A combined instrument could be used for tumor-border demarcation during surgery, and potentially for guiding prostate biopsies towards lesions suspicious for cancer. All of this should provide a more secure diagnosis and consequently more efficient treatment of the patient.
AN EFFECTIVE VIRTUAL COORDINATE WITH VOID ROUTING MODEL FOR WSN USING QOS-LINK-BASED ROUTING ALGORITHM

Over the past decades, wireless sensor networks (WSNs) have been widely applied in many different fields in which routing protocol is one of the key technologies. Since a sensor node exploits a path depending only on the location information of neighbor nodes in geographic routing, routing protocol based on geographic information is more efficient. To solve the routing void problem in geographic routing, high control overhead and transmission delay are usually taken in wireless sensor networks. Inspired by the structure composed of edge nodes around which there is no routing void, this project proposed an efficient bypassing void routing protocol based on virtual coordinates. The basic idea of the protocol is to transform a random structure composed of void edges into a regular one by mapping edge nodes coordinates to a virtual circle. By utilizing the virtual circle, the greedy forwarding can be prevented from failing, so that there is no routing void in forwarding process from source to destination and control overhead can be reduced. Furthermore, the virtual circle is beneficial to reduce average length of routing paths and decrease transmission delay. The proposed protocol has higher delivery ratio, shorter path length, less control packet overhead, and energy consumption.
To Enhance the Biometric Image using Binarization

The increase in use of automated fingerprint recognition puts on it a challenge of processing a diverse range of fingerprints. To make it supportive in consisting fingerprint detail extraction, quality control is required, which is used in identification/verification. Fingerprint verification is one of the most reliable personal identification methods and it plays a very important role in forensic applications like criminal investigations, terrorist identification and National security issues. Some fingerprint identification algorithm (such as using Fast Fourier Transform (FFT), Minutiae Extraction) may require so much computation as to be impractical. Because quality of fingerprints varies according to the user population’s ages and fingerprint quality has an impact on overall system performance, it is important to understand the significance of fingerprint samples from different age groups
A Simplified Review on Study and Implementation of Recognizing Terrorist by Rapid Detection by Activities and their Facial Match

Security is an important aspect in all environments. It is related to safety. Our Topic “Study and implementation of Recognizing Terrorist by rapid detection by activities and their facial match” proposed for various kinds of faces is presented in this paper. To recognize terrorist is one of the major task of any government agency. The implementation of it is one of the most influential works of human kind. Our approach is to find the facial detection and activities of people for fifteen second video capture. Every people come under the camera recognize each separately. Its activity matches with record of each suspect and facial is one of the most important and it match with every mean of change. Even after plastic surgery it can also predict. The study of face recognition falls into three methods such as face normalization, feature extraction and face matching.
Implementation and Verification of low Latency and Low Power MAC Protocol for Wireless Sensor Networks

: In wireless sensor network (WSNs), the strategies of periodical sleep and contention to use the channel for transmission are efficient in term of packet delivery ratio and channel utilization. However the overhearing of the control packets and increased transmission latency. In this paper, we propose to use transmission pipelining method to reduce transmission delay. In the implementation of node grouping, there are several groups in a WSN, where nodes in different group wake up at different times. Each sensor node initially set to packet during the groups. In contrast to the situation in which all nodes hear the control packets during the contention period, node grouping, reduce the number of nodes that overhears the control packets at the same time to reduce power consumption, To establish communication between nodes belongings to different groups, we assign a group table to each node. The group table in a sensor node, a sender can wake up at group time of the receiver. As a result, two nodes belonging to different groups can communicate with each other. With regard to transmission delay of a multi-hop path in WSNs, if a sender transmits data to the receiver and the receiver cannot send the data to the next receiver right now, the transmission delay increase. To reduce the transmission delay, we propose the transmission pipelining method. Transmission pipelining makes the group number of the nodes on a path to be continuous. Therefore, the sensor node is thus able to transmit data to the sink node pipelining. From the simulation results, the power consumed in transmitted a byte (mJ/byte) and the transmission delay,bandwidth,throughput, in our proposed design are better than those of SMAC .
Enhancement of Isolation and Gain of Antenna Using Slotted Meander Line Resonator for WiMAX Applications

In this paper, method of moments based IE3D software is used to design a Microstrip Patch Antenna with Slotted meander line resonators. The aim of the paper is to design a Microstrip Patch antenna with slotted meander line resonator to enhance the isolation and gain of microstrip patch antenna. Microstrip patch antennas with mutual coupling are proposed for WiMAX applications. To reduce mutual coupling between patch antennas using different methods like Split Ring Resonators (SRR), Slotted Meander Line Resonators (SMLR), Wave Guided Metamaterials (WGMTM) structures are designed for WiMAX applications. The antenna is designed by applying FR4 substrate of thickness 1.6mm with permittivity 4.4 and obtained excellent isolation and improvement in gain.
Performance Analysis and Characteristics of Supply chain management in Hospitality industry

The main principle of the study is to evaluate the performance analysis and characteristics of Supply Chain Management and Hotel Performance according to the perceptions of the hospitality employees. On this record, it was fundamental to decide the variables influencing the coordination of production network administration at first. The consequences of this review underpins that measurements of Supply Chain Management have strong effects on hotel workings. Lodging joining with interior and outside clients is acknowledged as imperative considers actualizing however inner client coordination is the main component for engaging the general mix handle in supply chain administration reconciliation.
AUTOMATIC CRACK DETECTION by USING VISION INSPECTION

: The issue of detection is very critical in all the manufacturing companies. Therefore we intend to aid in defect detection by bringing in an automatic crack detection using digital image processing. When vision inspection of a product is done manually, there are chances of human error taking place or lack of efficiency or irresponsibility in some cases. This may bring a faulty piece in application leading to the possibility of failure of that component. In order to avoid such a risk, we are trying to develop an automatic crack detection system.
Nanosystems : Nanoparticles and their use in Dentistry and Oral Health Care

The major goal in dentistry and oral health care is maintaining the health of oral tissues. Thus, to achieve this goal, the advances in nanosciences and nanotechnology have paved the way to approach this goal. The application of these nanotechnologies to dental medicine have given rise to nanodentistry, whitch is an innovative branch of science. Many studies indicate extensive application of the medical nanosystems in numerous fields of nanodentistry such as prevention, diagnosis, therapeutic, restoration and tissue regeneration. The lattery, cover all dentistry specialties such as restorative dentistry, periodontics, endodontic, orthodontics, prosthodontics, oral implantology and regenerative dental Medicine. These dental Medicine nanosystems as nanostructred materials constitute new innovative nanoproducts that make possible the maintenance of oral health care in a very precise, safe and effective way. The objective of this review is to expose briefly, the recent advances in these dental Medicine nanosystems, especially in nanoparticles and nanoparticles-based nanomaterials. In addition, the article sets out to describe the various potential applications of this type of nanostructured materials and the challenges they present in clinical, cosmetic and esthetic dental and oral health care.
Survey on Medical Data Sharing Systems with NTRU

---------------------------------------------------------------------***--------------------------------------------------------------------- Abstract - Health Record of an individual personal is a vital way that can be utilized for keeping track of the patient data in accurate, reliable as well as complete manner. The sharing of health records permits the patient to make and redesign their details, furthermore, share their data with various users as well as medicinal services suppliers. While sharing the healthcare data in the cloud, the clients have handled a few issues, for example, security, scalable key managements, user revocation and flexible access controls. This survey gives a study on various techniques created for sharing of medical data using cloud and by analyzing they enlisted their pros and cons.
Optimal Cryptographic Technique to increase the Data Security

— There are many aspects to security ranging from secure commerce and payments to private communications and protecting passwords. One essential aspect for secure communications is that of secret key Cryptography. It is the automated method in which security goals are accomplished. It includes the process of encryption that converts plain-text into cipher-text. The process of decryption reconverts the cipher-text into plain-text. Secure communication is the prime requirement of every organization. To achieve this, one can use many techniques or algorithms available for Cryptography. In this context, we analyze and implement extremely protected cryptography scheme using the properties of quaternion which is the extension of the complex numbers and Farey fractions, Farey sequence of order n is the sequence of completely reduced fractions between 0 and 1. The proposed techniques in this paper can help in increasing the accurateness and wholeness of network topology discovery and can control existing protocol and hardware features, and also can be implemented easily.
Career Progression of Female Academics in Public Universities: A Tale of Open University of Tanzania

Tanzania recognizes that gender equality and female empowerment are important for development of the country. Despite the government efforts to put in place employment laws, policies and gender strategies to remove inequality, still there are under representation of female employees in senior positions in many public sectors. In Public Universities the situation is the same as the number of academic staff varies between female and male. There is huge gender gap in this career as it is dominated by male. Gender disparity tends to be wider in senior positions. The major objective of the study was to examine factors that affect career progression of female academics to senior positions in Public Universities. The study employed qualitative design to understand academics experiences on the female career progression. Open University of Tanzania (OUT) was used as a study case. Twenty one (21) participants were selected purposively from senior positions, junior positions and University management. Interview method for data collection was employed to collect primary data and secondary data were collected through documentary review. The study used thematic analysis in data analysis. The findings revealed that family work conflict, culture and gender, lack of mentor and mentoring program, lack of role model, low self-confidence, limited opportunities and networking were factors that discourage career progression of female academicians to senior positions. The findings implied that few female academicians managed to reach senior positions and majorities are struggling to move up. Their failures were associated with traditional gender role, society believes and gender stereotype. Generally, the study contributes to the addition of knowledge and literature on career progression of female academics which has been under-researched, especially in Tanzania.
IN SILICO DESIGN, SYNTHESIS AND CHARACTERIZATION OF SOME NOVEL BENZOTHIAZOLE DERIVATIVES AS ANTICANCER AGENTS

Objectives: Cancer is a disease characterized by uncontrollable, irreversible, independent, autonomous, uncoordinated, relatively unlimited, and abnormal overgrowth of tissues. Breast cancer is the second most common type of cancer after lung cancer. The aim of the study is to carry out the docking studies, synthesis, and antitumor activities of benzothiazole derivatives containing oxadiazole groups or amino groups. Methods: The docking studies of benzothiazole derivatives were done with known anticancer targets like estrogen receptor using Argus lab and AutoDock programs and compared with the standard drug tamoxifen. Based on the results obtained from the molecular modeling studies, the derivatives were selected for the synthesis. The synthesized compounds were characterized by melting point, thin layer chromatography, InfraRed,1H NMR,13CNMR, mass spectral data, and screened for their in-vitro anticancer activities. Results: The docking scores obtained for benzothiazole derivatives (BT1, BT2, BT3, BT4) and std. tamoxifen from the preliminary docking program using Argus Lab were −9.68, −9.4, −9.59, −11.1988, −9.71 and using AutoDock program were −6.29, −5.25, −7.19, −7.48, −3.86, respectively. All the four derivatives were synthesized, characterized, and subjected to in vitro anticancer screening by MTT assay in breast cancer (MCF-7) cell lines. Compounds DBT1, DBT2, and DBT3 were the most active compounds against MCF-7 cell lines with inhibitory concentration 50% of 70.0, 64.0 and 65.0, respectively. Conclusion: All the four derivatives show good docking scores when compared to standard drug tamoxifen and can be concluded that all the synthesized benzothiazole ligands show good anticancer property.
Management of Nasal Cavity Chondrosarcoma: About a Case and Review of the Literature

Background: We report here a case of nasal cavity chondrosarcoma and its treatment. Methods: A women aged of 29 years old presented a long history of nasal obstruction. He was diagnosed with nasal cavity chondrosarcoma. Loco regional extension in the CT scan showed involvement of the right nasal cavity, and suspected involvement of the medial wall of the orbit. She had surgical excision with removal of the tumor. Given the positive margins, adjuvant radiotherapy was indicated. The radiotherapy was delivered with intensity modulated radiation therapy (IMRT) technique in order to overcome anatomical complexity of the region, cover the tumor bed and preserve the organs at risk. Results: The patient remains without recurrence with more than 12 months of follow-up. Conclusions: Radical excision of the tumor is the treatment of choice, but our results show a high level of efficacy for fractionated photon radiotherapy after surgery, in keeping with other series, particularly now with the advent of new radiotherapy techniques. This should encourage the further development of sophisticated photon radiotherapy.
INTERNET THREAT LANDSCAPE BY AGGREGATING DECENTRALIZED & RANDOMLY SELECTED TRAFFIC LOGS BASED ON DESTINATION PORTS

-Localization attacks, in which IP addresses located as sensors comprising Darknet systems are detected, are well-known. Attackers can detect sensors in secret by sending probing traffic with concealed signals to the target network. In response to this, we have developed countermeasures using a dynamic monitoring method, in which there is a dynamic switchover of sensors reflected in the published monitoring results. In this study, we will consider a case wherein the attacker is attempting to embed concealed signals between multiple ports within one sensor. Therefore, we propose a countermeasure method in which there is dynamic monitoring of each destination port. In this paper, we have verified the impact on publishable monitoring results when applying the proposed method to the nicter Darknet in Japan
Performance Analysis of Different Filters with Various Noises In Preprocessing Of Images

-- An image is considered as a collection of information and the occurrence of noises in the image causes degradation in the visual appearance of the images. So the information associated with an image tends to loss or damage. It should be important to renovate the image from noises for achieving maximum information from images. In this paper it has been seen that quality of image and the information in images affected by different types of noise. As a remedy, the visual quality and the information from the noisy image can be retrieved using different types of filters. In this work Gaussian noise, Speckle noise and random noise ,Salt and Pepper noise are being considered and it can be reduced using Gaussian filter, Average filter, Median filter and Adaptive Median filter. The experimental result shows the comparison and the various types of filters performance to de-noise the noisy images with mean square errors and PSNR values.