Miracle-dz/UniFAR-FTUs huggingface dataset:
The Usefulness of Monitoring Pleural Effusion Treatment

Pleural effusion cause considerable distress to patients and are difficult to treat because of the deteriorating arterial oxygen saturation and respiratory distress [1]. Early diagnosis and treatment of pleural effusion might interrupt its development that progressively leads to severe respiratory distress and sometimes to mechanical ventilation and death. The only possible solution for early diagnosis (i.e., before the appearance of clinical symptoms) and treatment would be continuous monitoring of every patient at risk of developing acute HF. X-rays is not suitable and cannot be used for prolonged monitoring due to the danger of frequent exposure to radiation. The increased content of extravascular fluid in lungs can be detected via monitoring of their impedance (electrical resistance) [3-8]. Accumulation of water in the lung leads to a decrease in its impedance [9]. In previous studies we have shown the suitability of the RS207 monitor (R. S. Medical Monitoring, Jerusalem, Israel) for measuring ITI and early diagnosis of pulmonary edema and pleural effusion from different etiologies [1-16]. So far, not any studies have dealt with early diagnosis of pleural effusion in pure HF cohort who, most frequently, suffer from pleural effusion, by use of this noninvasive and inexpensive method. Moreover, the currently available methods for the early detection and monitoring of pulmonary edema were not studied for pleural effusion and are not sufficiently reliable and may themselves lead to complications [1-10]. The changes in the extravascular fluid content in the lungs in humans and animals can be easily monitored by a noninvasive procedure based on impedance plethysmography of right lung [815]. Total transthoracic impedance (TTI) consists of ITI and skin contact impedance.
A Review of Data Reduction/ Extraction in Data mining from the Large set of Database

: Data reduction or extraction from large set of the database is the key challenge nowadays which is gathered from the temporal or spatial domain source such as remote sensing, medical and satellite data. Data mining is the widely used technology to uncover the hidden information from the huge datasets of database. Various approaches such as clustering and association rule are used to extract the information. In this paper review of various approaches proposed by different researchers and also explained the data reduction techniques to extract the essential information with its advantages and disadvantages.
Method of Reconstruction the Intact Surface for Surgical Accesses

The aim of this work lies in designing software used for preoperative planning of the surgical access risk. In order to obtain a realistic and useful simulation we focused our study on the physical modeling of the brain targeting and on the maneuvers of the surgical instruments. A new method of intact surface construction, which will assist in accurate neurosurgical planning, was discussed. Moreover, the three-dimensional model and its visualization were described. This visualization method allows of combining the calculated data about the surgical intervention risks with the geometrical data describing patient's head. Therefore, this methodology will help to build an intelligent system that has the ability of selection the best approach of surgical intervention access. The current technique is based on geometrical synthetic object creation, this object “in next stages of the surgical planning approach” would be applied directly to the data describing the risks of surgical access, and this in turn will allow estimating the real risk value of the surgical access. The advantage of this method is that the creation of the object is based on surgical access approach. The best surgical access is based on finding the smallest distance of surgical intervention toward the target, taking into the account the reduction of brain tissue damage. The method of the intact vertex can significantly reduce the amount of memory overloading, also a method of filtration used to extract artifacts resulting in unreal vertices, caused in rendering errors and memory overloading, was used. Also, using data describing the correlation between the object vertices allows arifacts filtration without any need for additional transformations. All that improves the rendering procedure and the accuracy of the surgical intervention by 30%.
Control of Stand Alone PV System using Single Voltage Sensor Based MPPT

This paper proposes to model a voltage-sensor-based MPPT with voltage reference control technique with a PI controller for the SEPIC converter. The PI controller will minimize the error between the reference voltage (VRef) generated by the MPPT controller and the panel voltage (VPV). Thus, it is an adaptive solution, as if VPV is far from MPP, error will be large and so it will automatically produce large step size (∆D) and vice versa. Thus, the MPPT with voltage reference control technique with the association of PI controller can effectively improve the performance of the PV system. The simulations were performed in the environment of MATLAB/SIMULINK.
DENSITY BASED FUZZY C MEANS (DBFCM) IMAGE SEGMENTATION

: The fuzzy c means image segmentation algorithm is mainly implemented taking the attribute as intensity. Often some of the relevant segments in different density are missed as they have same intensity which is not desired. But if the segmentation is done in density domain as well as intensity domain then far better result can be obtained. Here In this paper density based fuzzy c means (DBFCM) clustering is presented. It is divided into two steps first different dense region is found using k th nearest neighbour then fuzzy c means segmentation is done on each dense region. The DBFCM is implemented upon some of the satellite images to get the segments as experimental results. Then it is compared with the conventional fuzzy c means approach.
USE OF DNA SEQUENCING AS ADVANCED TOOL IN TAXONOMIC AUTHENTICATION AND PHYLOGENY OF GEOPHYTES OF MEDICINAL IMPORTANCE

Curcuma pseudomontana J. Graham belongs to the family Zingiberaceae, commonly known as Hill Turmeric. It is an endemic geophyte to the Western and Eastern Ghats, of peninsular India. C. pseudomontana rhizome is beneficial against leprosy, dysentery, cardiac diseases. The Savara, Bagata, Valmiki tribes of Andhra Pradesh use tuber extracts to cure jaundice and Bagata tribes use this plant for Diabetes. Taxonomic identification of rhizomes and crude powders of traditional medicinal plants is becoming a great challenge as per classical plant taxonomy. The accuracy of authentication has limitations because of the amounts of samples, the stability of chemical constituents, the variable sources and the chemical complexity DNA sequencing, are useful for the authentication and standardization of medicinal plant species The present study deals with generation of rbcl gene sequences from Curcuma pseudomontana and its phylogenetic relationship with other species of the genus Curcuma.
Effect of honeybee pollination on seed and fruit yield of agricultural crops in Ethiopia

Pollination is a critical link in the functioning of ecosystems, and it improves the yield of crops. Insect pollination is an essential input in the production of crops grown worldwide. Of the approximately 300 commercial crops about 84% are insect pollinated. Honeybees are responsible for 70-80% of insect pollination. This indicated how much honeybees are the most efficient insect pollinators of cultivated crops and wild flora in agricultural systems. The main reason is that honeybees are abundant and widespread everywhere. They have well developed mechanism of communication to exploit their environment. The value of additional yields obtained by pollination service rendered by honeybees is 15-20 times more than the value of all hive products put together. Studies conducted in Ethiopia have also proven the role of honeybee pollination in improving the yield and quality of some crops such as Malus sylvestris (apple), Allium cepa (red onion), Guizotia abyssinica (niger) and Vicia faba (faba bean). The yield increment was varied from 33.5-84% among the above crops due to honeybee pollination. However, unwise pesticide applications become the main problem for some crops in Ethiopia. This is due to, low level understanding of the value of pollination on the yield of agricultural crops. Therefore, attention should be given for the legal protection of honeybees and other insect pollinators; especially, protecting the honeybees from pesticide poisoning, developing pollinators’ conservation policy, the idea of crop pollination should be included in national crop production strategic plan and awareness creation should be given to the society about the value of crop pollination.
PLACENTA PREVIA: RISK FACTORS AND MATERNAL OUTCOME EIGHTEEN MONTHS PROSPECTIVE STUDY

Aims and Objectives: To evaluate demographic profile, various risk factors and maternal outcome in patients with placenta previa. Material and Methods: The present study was done o of placenta previa admitted in Department of Obstetrics and Gynaecology, Govt. Medical College and Rajindra Hospital, Patiala from 1st January 2013 to 30th June, 2014. Results: Mean age of patients was 26.39±3.5years. 83% were multigravida, 78% patients belonged to rural area and majority patients were unbooked (86%). Major group of unbooked cases (68%) belonged to rural areas, 78% belonged to low socio economic status and 35% of the patients were illiterate. 91% patients were diagnosed as placenta previa on ultrasonography and major group of patients (86%) were major degree placenta previa. Malpresentation were noted in 26% patients, 61% patients had emergency cesarean section. 69% patients required blood transfusion. 21% patients had history of caesarean section in previous deliveries. History of dilatation and curettage was present in 25% patients, placenta previa in previous pregnancy, twin gestation and history of myomectomy were seen in 1% patients. Maternal intraoperative complications noted were placenta accreta requiring cesarean hysterectomy (5%), haemorrhagic shock (8%), classical cesarean (1%), broad ligament hematoma (1%), bladder trauma (2%). Postoperative complications noted were postpartum haemmorrhage (14%), near missed cases (8%), ICU admissions (3%), wound infection (3%), wound gaping requiring resuturing (1%), puerperal pyrexia (3%) and prolonged stay in hospital (>9 days) in 62% patients. Maternal mortality was 1%. Conclusion: Patient with anti partum haemorrhage should be considered as very high risk and timely management should be given at tertiary care hospital well the clock availability of blood and blood products. Family planning should be strongly emphasized and considering high perinatal mortality, neonatal care units should be besides labour ward. [1] Antepartum When the placenta is implanted the lower uterine segment (over and adjacent to the internal os) it is called placenta preiva. Bleeding from placenta previa is one of the most acute and life threatening emergencies in obstetrics practice. potential maternal and neonatal morbidity and mortality associated with this condition have generated a lot of concern among practising clinicians. Improvements in diagnostic accuracy and enhancement in planned intervention strategies have been brought the introduction and use of ultrasonography and magnetic resonance imaging in obstetric practice. Both placenta previa accreta and percreta rise in frequency with the number of previous deliveries by cesarean section. The haemorrhage at the time of cesarean section can be rapid, massive and unrelenting. Impact Factor: 6.614 ; Page No.17532-17536 . 17536.3331
Channel Quality Improvement for BER using Different Channel Estimation Techniques for OFDM Systems

----In this paper we present an improved and robust channel estimation algorithm for OFDM mobile communication systems based on the use of pilot subcarriers.Specifically we present an iterative channel estimation technique to improve the performance of channel estimators.In iterative receiver structures, soft information becomes available after the decoding stage. This information is used to enhance the quality of the channel estimates for the next iteration. The low complexity proposed receiver including LMS algorithm, has a higher efficiency than conventional methods (without channel estimation,LS & LMMSE ) and it can work in lower amount of SNRs.We derive a generalized estimator based on the linear minimum mean square error (LMMSE) principle for deterministic pilot information combined with soft information. The performance is presented in terms of Bit-error rate (BER) for a system using 16-quadrature amplitude modulation (QAM). Simulation results validate that the proposed channel estimation scheme can achieve tremendous performance as the existing channel estimation methods.
Institutional Ownership and Financial Performance of Quoted Building Materials Firms in Nigeria

This study examines the impact of institutional ownership on financial performance of quoted building materials firms in Nigeria. The population of the study consists of six (6) firms quoted on the Nigerian stock exchange as at 31 December 2016 out of which four (4) firms were selected using two criteria which are company that made available their annual report of thirteen (13) years and company quoted on the Nigerian stock exchange before 2004. The study uses multiple regressions as a tool for analysis and secondary source of data analysis. The result of the study revealed that institutional ownership impacts positively significantly on financial performance of quoted building materials firms in Nigeria. The study concludes that institutional ownership affects financial performance of building materials firms in Nigeria and recommended that Security and exchange commission should encourage potential institutional investors in the building material industry to invest in long term
ADAPTIVE JOB SCHEDULING WITH LOAD BALANCING FOR WORKFLOW APPLICATION IN GRID PLATFORM

Grid computing servers as the globally connected systems which performs high computing in many practical applications. Scheduling plays a key role in providing performance for grid workflow applications. Various scheduling strategies are proposed, including static scheduling strategies which map jobs to resources before execution time, or dynamic alternatives which schedule individual job only when it is ready to execute. Both of the schedules require significantly high scheduling cost and they may not produce good quality of schedule with low cost. This paper proposes a novel semi dynamic algorithm with load balancing concept
REMOVAL OF HEAVY METAL LEAD (PB) (II) BY BIOSORPTION PROCESS USING PAPER SHELL MUSSEL (ANODONTOIDES FERUSSACIANUS)

The understanding is on the rise that accumulations of heavy metal pollutants in the environment, being added by industrial effluents, have altered geochemistry of water and soil as well as adversely affected the inhabiting fauna and flora. Simultaneously emerged has urgent need to develop effective technologies to reduce load of these hazardous wastes from the environment. Recently, biosorption has come up as effective tool in which biomass of various organisms have been tested. In the present study, the biosorptive potential of shell biomass of cylindrical paper shell mussel (Anodontoides ferussacianus) has been investigated for removal of toxic heavy metals, such as Pb (II) ions. Maximum removal was found to be 200 mg/L for both Pb (II). Various physico-chemical factors have been optimized for biosorptive capacities of sorbates by sorbents. Optimum pH was found to be 6 and optimum temperature was 30 o C for Pb (II). Optimum and biomass concentration was 15 mg/L in case of the metal ions. Various adsorption models were elucidated to data, such as Langmuir, Freundlich and Temkin isotherms whereas Freundlich model was found to be fittest showing multilayer sorption. Pseudo-second order kinetic model was also found to fit for this study with regression coefficient value of 0.99. Additionally, Fourier Transform Infra-red Spectroscopic studies (FTIR) indicated various electronegative functional groups on the surface of the shell of A. ferussacianus which could possibly offer the binding sites for cations under investigation.
Shear Plus Squeeze Mode Based Magneto-Rheological Fluid Brake

Nowadays, magneto rheological fluid technology is growing rapidly to satisfy the different application demands. However, yield stress produced by the MR fluid limits its use option only several applications. Yield stress produced by a typical MR fluid is only 70 -90 kPa. Hence, while exploring the possibility of this fluid to be used in MR brake, it cannot attain required braking torque. Thus, if a conventional shear mode of this MR brake is combined with the simultaneous compression mode, then the typical MR fluid can attain a yield stress of about 800-900 kPa which will satisfy the braking torque requirements. During this review, the theoretical research has been carried out about the shear plus squeeze mode based MR brake to satisfy automotive brake application requirements.
Fixed Task Scheduling of Industrial Robot using Genetic Algorithm Based Travelling Salesman Problem

The task scheduling of any industrial robots is a prior requirement to effectively use the capability by obtaining shortest path with optimum completion time. In this article, we have presented Travelling Salesman Problem (TSP) with Genetic Algorithm (GA) search technique based task scheduling technique for obtaining optimum shortest path of the task.TSP finds an optimal solution to search for the shortest route by considering every location for completing the required tasks by setting up GA. This article embrace the adaption and implementation of the Genetic Algorithm search strategy for the task scheduling problem in the cooperative control of multiple resources for getting shortest path with minimize the completion time for two zone specific task allocation problem. It can be inferred from the simulation results that the Genetic Algorithm search technique can be considered as a viable solution for the task scheduling problem.
International Journal of Advanced Research in Computer Science and Software Engineering

—A wireless mesh network (WMN) is a communication network made up of radio nodes organized in a mesh topology. It is highly being deployed for a wide range of applications such as broadband wireless access, disaster recovery, industrial monitoring and control etc.WMN has gained significant acceptance due to its potential of providing low-cost wireless backhaul service to mobile clients. Multicasting is a method by which a source can send data to multiple receivers using a single transmission, thereby conserving bandwidth. Multicasting can be used as an effective routing method in wireless mesh networks but there are a lot of issues that brings down its efficiency. This article provides a brief analysis on various issues in multicasting protocols and a comparative study on different approaches against few network parameters.
Computational Simulation of Fuel Tank Sloshing for a FSAE car using CFD Techniques

Sloshing refers to the highly random motion of any fluid inside an object where the dynamic forces of the liquid can interact with the object to alter the overall system dynamics. This work summarises the process of designing and simulating the 3-D geometry of a fuel tank using CFD and the volume of fluid (VOF) method considering multi-phase fluid flow predicting fuel slosh movement at a specific capacity within a definite fixed volume. [13-16] As the performance of the engine heavily depends on a constant supply of fuel, the splashing of gasoline inside the partially filled fuel tank can severely affect the performance when subjected to sudden left and right turns during a Slalom in FSAE tracks. This scenario can be modelled, analysed and effectively controlled by reducing pressure intensities inside the tank walls using a set of strategically placed Baffles. Therefore, this study attempts to reduce the sloshing behaviour by considering multiple types of geometries and shows the final geometry chosen using computational simulations inside the fuel tank considering 1.5 litres of fuel and remaining with air inside a 7.3 litres fuel tank, thus predicting the effect of sloshing forces and moments inside the tank structure considering lateral and longitudinal acceleration fields. The model is discussed and results are presented. In addition, this paper can be referred to as a detailed tutorial on how to simulate and take in consideration of all the factors which will be useful in deciding vehicle fuel requirements and optimum design.
An Approach for Calculating the Effort Needed on Testing Projects

 Abstract — Software testing effort estimation has always been an on-going challenge to software engineers, as testing is one of the critical activities of SDLC. Accurate effort estimation is the state of art of software engineering, as it is the preliminary phase between the client and the business enterprise. The credibility of the client to the business enterprise increases with the accurate estimation. The earlier test estimation is done, the more benefits will be achieved in the testing life cycle. This paper proposes an approach for estimating the size and efforts required in the testing projects using test case point. The proposed model outlines all major factors that affect testing projects. Covering all major factors helps to do a fair estimation using the proposed approach. This proposal is technology independent and supports the need for estimating, project efforts management and forecasting quality deliveries. This approach would be used by the individuals who would want to have good testing effort estimation for any given project under test. The computation of proposed test effort estimation involves least overhead as compared to others.
CONTEXT SENSITIVE TEXT SUMMARIZATION USING HIERARCHICAL CLUSTERING ALGORITHM

Text summarization addresses both the problem of selecting most important portions of text and the problem of generating coherent summaries. Information Retrieval plays an important role in searching on the Internet. Huge amount of data is present on the Web. There has been a great amount of work on query-independent summarization of documents. Most systems are limited to the query processing based on information retrieval system; the matching of the query against a set of text record is the core of the system. Retrieval of the relevant natural language text document without ambiguity is of more challenge. Today’s most search engines are based on keyword based techniques, which results in some disadvantages. We exploit NLP techniques to support a range of NL queries and snippets over an existing keyword-based search. This paper describes a simple system for choosing phrases from a document as key phrases. This phrase is made up of modules, splitting, tokenization; part-of-speech tagging; Chunking and parsing. While doing so we have also used new association algorithm to generate accurate distance matrix and then combine or divide existing group, creating hierarchical cluster of related data that reflects the order in which groups are merged or divided. Here before clustering we are also handling text ambiguity to generate effective summary.