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In the manufacturing industry, optimizing assembly processes is crucial for meeting production demands and enhancing efficiency. One such critical process in vehicle horn production involves riveting name plates onto the grill. However, the conventional single-station setup leads to significant machine and human idle time, hindering the assembly line's productivity. To address this issue, a novel automation station utilizing a rotary index table has been developed. The proposed innovative system revolutionizes the riveting process by incorporating multiple stations on a rotary index table, each capable of holding a component for riveting. A three-phase induction motor precisely rotates the table, positioning each component accurately for riveting. Simultaneously, a pick and place arm retrieve the finished product and deposits it into the bin, eliminating the need for manual unloading by the operator. By adopting this automated solution, machine and human idle time are effectively minimized, leading to a substantial increase in production efficiency. Furthermore, the system's versatility allows it to accommodate various components and configurations, making it adaptable for different horn models. The integration of rotary index tables into manufacturing processes, complemented by robotics, represents a promising approach to enhance productivity, efficiency, and accuracy. This innovative solution addresses the specific challenges in vehicle horn production, and it also underscores the broader potential of automation in industrial manufacturing. [ABSTRACT FROM AUTHOR]

Millions of people worldwide suffer from the devastating condition called paralysis. Many conditions, such as strokes, injuries to the spinal cord, and brain trauma may lead to it. Patients who struggle with paralysis can experience significant impairments of functionality and independence, making it challenging for them to carry out even the most essential activities for daily routine. The treatment for the people with paralysis might be completely transformed by the implementation which is associated with Internet of Things (IoT) technology. IoT-based systems are used to monitor the patient's vital signs, track their movements, and provide them with communication and assistive technology. This project proposes an IoT-based automated paralysis patient healthcare system that utilizes various sensors and microcontrollers to monitor the patient's health status and provide them with the resources that require. The system includes a pulse-oximeter for measuring the blood oxygen saturation, temperature sensor to monitor body temperature, and the motion sensor for tracking patient movements. The system also incorporates a communication module that allows the patient to send and receive messages, and an assistive technology module that can control various appliances in the patient's environment. [ABSTRACT FROM AUTHOR]

The purpose of this research is to evaluate the efficacy of fluchloralin and other new onion-garlic herbicides on brinjal plant (Solanum melongena) stem thickness. Research Tools and Procedures: For this investigation, a 600 sq. ft. experimental land area was used. A brinjal plant's harvest is determined by dividing the plants into two categories. The control group, consisting of those receiving fluchloralin, and the experimental group, consisting of those receiving onion garlic herbicides, are two separate entities. The total number of samples is forty, with twenty samples from each group. For the purpose of assessing the sample size, the G-power calculation revealed 80% with an alpha of 0.05 and a 95% confidence range. The statistical analytic tools utilised for determining the means were SPSS. In contrast to fluchloralin's production of 1.942 cm/plant, the results showed that onion garlic herbicides produced a crop yield of 2.21 cm/plant. A two-tailed significant value of p = 0.003 (p<0.05) was established. Evidently, there are notable distinctions between the two sets of people. In conclusion, plants that employ onion garlic herbicides end up with thicker stems than those that use fluchloralin. Similarly, the stem thickens in phases when treated with natural herbicides. [ABSTRACT FROM AUTHOR]

The fundamental objective of this research is to investigate the effectiveness of the herbicides fluchloralin and onion garlic on the level of yields produced by brinjal crops. Within the scope of this study, the yield of brinjal plants among the various categories is investigated. Methodologies and Instruments for Research: With an experimental plot measuring 600 square feet, we were able to determine the respective brinjal crop yields of the two groups. The herbicide fluchloralin is being utilised by one group, while the other group is applying herbicides that are generated from onions and garlic. This is the reason why the two different kinds of crops produce different amounts of yield. The total number of samples is forty, with twenty samples coming from each of the groups. In the process of determining the size of the sample, the G-power calculation produced a result of 80 percent, with an alpha of 0.05 and a confidence range of 95 percent. For the statistical analysis, SPSS was utilised. The findings demonstrated that fluchloralin brought about a crop yield of 1.94 kilogrammes per plant, whereas onion garlic herbicides brought about a crop yield of 2.18 kilogrammes per plant. The result is statistically significant, with a p-value of 0.002 (p<0.05), indicating positive significance. It was presumed that there were considerable differences between two groups. This research investigates the differences in crop yield between brinjal plants that were treated with fluchloralin and those that were treated with onion garlic herbicides. The findings indicate that the latter are considerably more advantageous to the growth of plants due to the natural substances that they contain. [ABSTRACT FROM AUTHOR]

Piezoelectric transducers are commonly used to generate ultrasonic waves. The ultrasonic waves produced by the piezoelectric transducer can cause cavitation, which leads to the formation and collapse of tiny bubbles. This cavitation process helps to break down any agglomerates or clusters of particles in the nano fluids, thereby reducing their size and improving their dispersibility. Incorporating a piezoelectric transducer in the coolant tank of a CNC machine can be an effective way to supply nano fluids during machining. Nano fluids are suspensions of nanoparticles in a base fluid and have unique properties that make them ideal for use in machining applications. These properties include high thermal conductivity, low viscosity, and good wetting ability, which help to improve the heat transfer between the cutting tool and the workpiece and reduce friction. The piezoelectric transducer can be used to agitate the nano fluid and keep the nanoparticles uniformly dispersed in the base fluid. This can help to prevent the settling of the nanoparticles and ensure that the nano fluid is delivered consistently to the machining area. Additionally, the ultrasonic waves produced by the piezoelectric transducer can help to break down any clusters or agglomerates of nanoparticles, further improving their dispersibility. Overall, incorporating a piezoelectric transducer in the coolant tank of a CNC machine can be an effective way to supply nano fluids during machining. By using ultrasonic waves to agitate and disperse the nanoparticles in the base fluid, it is possible to improve the heat transfer and reduce friction during machining, leading to better machining performance and improved surface quality. [ABSTRACT FROM AUTHOR]

The primary objective of this project is to revolutionize the process of meat cutting. Traditionally, meat cutting has been a time-consuming and labor-intensive task performed manually. However, the introduction of an automatic meat cutting machine aims to streamline the process, leading to reduced labor costs and time required for efficient meat cutting. Specifically designed for the Indian poultry industry, which contributes significantly to the country's meat production, this project addresses the shortage of laborers in the industry by automating the meat cutting process. The machine's design allows users to customize the size of meat pieces according to various customer demands, ensuring both safety and hygiene. By implementing this machine, numerous issues associated with manual processing, such as accidents and hygiene concerns, can be minimized. Moreover, with a single operator overseeing the machine's operation, the output is significantly increased compared to traditional methods. The automatic meat cutting machine functions by employing a reciprocating cutting blade to efficiently cut meat collected from a rotating wooden table. It utilizes a slider crank mechanism and a four-start lead screw with a rack and pinion system, along with a microcontroller for determining piece sizes and sensing when the cutting process is complete. The cutting blade and lead screw are made of carbon steel, while the four motors are DC motors. The implementation of the Automatic Meat Cutting Machine has greatly enhanced safety and overall hygienic conditions while reducing labor and processing time costs. Future improvements to the machine may involve incorporating cleaning and packing systems to further enhance its capabilities. [ABSTRACT FROM AUTHOR]

In our daily life, we come across many people with different disabilities. Among them, the major categories which get less attention or are less focused are phocomelia patients and paralyzed people. Phocomelia is a disability produced due to the conditions prevailing during and before the birth of a baby because of which the affected individuals are having their limbs underdeveloped or absent. Paralysis is the condition of loss of muscle function in the human body. Since they are unable to use their limbs and bodies as well as other individuals, such persons are continually in need of assistance from others. The quality of their lives can be enhanced by creating a patient-controlled assistance vehicle. This could eliminate their problems related to mobility. Additionally, the vehicle is equipped with a robotic arm that makes it easier to pick and arrange objects and move them from one location to another. This vehicle is controlled by the brain signal developed during eye blinking. This technology is implemented with the help of a BCI (brain control interface) system, with an EEG headset placed on the patient's scalp the head which harnesses the brain signal and an Arduino micro-controller which receives the processed signal which controls the vehicle on the basis of the signal received. [ABSTRACT FROM AUTHOR]

An offshore barrier is a structure constructed for the purpose of protecting the harbor area from the effects of waves and restraining sea erosion to an extend. offshore barrier provides habitat for marine life, protects ports, beaches and creates recreational opportunities such as snorkeling and diving, unlike other structures hemispherical offshore barrier can withstand large tides without being displaced by waves. To improve the performance of an existing semicircular barrier an deflector has been introduced. In the present study, the design of an perforated SBW(semi-circular breakwater) with deflector and its effects has been carried out, using Ansys fluent. A study on pressure, velocity and turbulence has been conducted. Fifth order stokes equation is used to simulate the short gravity waves with a height of 0.6m. The vertical and horizontal force acting on the offshore barrier for different deflector positions were evaluated. Four different hemispherical offshore barrier were designed using design modeler. A comparison and numerical flow visualization is made between perforated and various positions of deflector. For the force analysis, a comparison of both horizontal and vertical force graph is made and a better result on damped oscillation is obtained and it also provides the damping for the incoming wave energy. Thus the addition of deflector ensured a minimum energy accumulation in the downstream of the offshore barrier. [ABSTRACT FROM AUTHOR]

The purpose of this project is to analyze and improve performance of automated vehicle theft detection to enhance the security system of vehicles parked in public places using two different machine learning techniques and compare the overall performance. For this research, neural networks namely Novel Resnet -50 and Stochastic Gradient Descent classifiers are chosen. The dataset was divided into 80% for training and 20% for testing. Next, the recommended classifier model was trained on the selected dataset, followed by testing of the model on the remaining 20% of the dataset, with sample size 10 for each group. The Novel Resnet-50 classifier was found to have an accuracy of 90% in improving security to avoid vehicle theft by facial recognition, while the Stochastic Gradient Descent classifier achieved an accuracy of 85%. Further analysis revealed that the Novel Resnet-50 classifier significantly outperformed the SGD classifier, with a significance value of 0.001 (p<0.05) that was obtained by performing an independent sample test. To evaluate the performance of the classifiers, the outcome was measured in terms of Accuracy, specificity and sensitivity. Overall, the study demonstrated that the Novel Resnet-50 classifier has potential for improving security and preventing vehicle theft through facial recognition with a high degree of accuracy. The proposed system can alert the owner if anyone is trying to access or drive the car. Results indicated that the Novel Resenet-50 performed well and offered an acceptable level of functionality, when compared to Stochastic Gradient Descent. [ABSTRACT FROM AUTHOR]

The heavy materials which are used in automobile industry, which are reducing the thermal efficiency, mechanical efficiency and fuel consumption. To overcome this all the factors by finding or introducing new materials such as composites in terms of requirement. The new materials which are used in manufacturing and automobile industry. High specific stiffness and near-zero coefficient of thermal expansion are being experienced in this work. As compared with the parent materials, the addition of new material exhibits better performance in terms of commercial value and the properties of materials. Aluminum has got excellent chemical and physical properties and also it has functioned well in thermal and chemical environments. The may drawback for aluminum is poor thermal resistance and very low toughness. It has been seen that many structural ceramics had poor conductivity when it was mixed with parent alloys. In this work, 10%,20%, and 30% of Al2O3 particles are mixed with Aluminum-Copper alloy to improve the electrical and mechanical properties. The prepared alloy mixtures are fabricated through a stir casting route followed by the sand casting method. [ABSTRACT FROM AUTHOR]

In recent years, there has been a strong push for further research into methods to lessen our reliance on fossil fuels. Electric cars, in particular, have seen a surge in popularity, and there is an ongoing need to improve battery technology so that these vehicles can cover greater distances. Amidst the many of factors that have contributed significantly to expansion, fossil fuels have unquestionably played a fairly large part. In this project, we use simulation software to model various input and output parameters of a Lithium-ion battery and compare them to other batteries that share their features. Graphical representations of the results are produced by this simulation. As a result of doing simulations, we are able to determine the different battery properties, and then we compare those results to those of lithium-ion batteries. Based on the graphs generated from the simulations conducted in the relevant programme, the optimal battery with the greatest performance among all of the batteries has been identified. [ABSTRACT FROM AUTHOR]

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a part of the family of beta-coronaviruses inducing COVID-19 disease. COVID-19 became the most life-threatening and highly contagious viral disease compare to another disease family of coronavirus. Right now, the RT-PCR is the gold standard for the diagnostic of COVID-19. To produce successful prevention strategies, medical testing, vaccinations, and antiviral drugs against COVID-19, comprehensive biological information is critical. Conserved coding RNA sequence within the N gene region of the open reading frame in the SARS-CoV-2 genome was employed as the foundation for creating an oligonucleotide probe as it is a crucial component for the development of a biosensor to identify the virus. The study aimed to develop a DNA probe that complementary to the RNA target of the N region for SARS-CoV-2. Studies were conducted on various strains of coronavirus sequences to verify the percent of correlation as well as the region of consensus that triggers various strains of viruses. Basic local alignment search tools (BLAST) and CLUSTLW had devoted additional statistical parameters, for example, desire values (E-values) and score bits. The 30 mer DNA probe with 50.0% of GC content was developed, CTG AAG CGC TGG GGG CAA ATT GTG CAA TTT. The adequate length of the probe is between 22 and 31 mer. The complementary DNA probe was designed based on the RNA target from the N-region selection that has been identified that could be used as a biomarker probe to produce a biosensor that can be implemented to the clinical and environmental diagnosis of COVID-19. [ABSTRACT FROM AUTHOR]

Globally, second leading cause of death for women is a Cervical Cancer. CC is caused by infection of Human Papillomavirus (HPV). HPV strains 16 (50.8%), 18 (17.6%), and 58 (2.6%) became the most leading strains of infection in Malaysia. Recently, a study showed that HPV 58 was rare worldwide but famous in Asia countries including Malaysia. However, detection the significance of HPV-58 in women has not been studied extensively because of rare case compared to HPV 16 and 18. HPV-58 is commonly found in East Asia, but infrequently worldwide, due to changes in the environment of viruses and humans. Detailed biological knowledge is crucial for the development of effective countermeasures, diagnostic tests, vaccines and antiviral drugs against the HPV. The oligonucleotide sequences of HPV 58 in E6 region have been analysed between 24-35 mer in order to maintain the specificity and selectivity. The percentage of similarities between the coding sequences has developed with 66.7% of GC content. The DNA probe of HPV 58 was 5'GGG CGC TGT GCA GTG TGT TGG AGA CCC CGA3' with 30 mer of oligonucleotides. The important of E6 region for developing the coding sequence as it involved in the DNA reproduction, transcription, translation regulation and transformation of HPV genome. Phylogenetic trees were then constructed by Neighbour-Joining and the Kimura 2-parameters methods, followed by an analysis of selection pressures acting on the E6/E7 genes by ebi ac uk tools. [ABSTRACT FROM AUTHOR]

The multispectral Images (MSIs) have essentially more adequate data than RGB pictures (RGBs), revamping MS pictures from the RGB pictures is genuinely under constrained issue. Basically, all previous methodologies rely upon static ward brain associations, which disregard reveal how to improve the gigantic lost information. We propose a picture handling model like the mean, middle, and morphological change to minimize the loss of information. GAN is a machine learning algorithm to recognize regularities and patterns. The benefits of the Generative Adversarial Network (GAN) with the benefits of Variational Autoencoder (VAE) are combined for our approach. By describing the inactive space vector and inspecting it from Gaussian transport, the VAE attempts to determine the age of the lost variational MS appointments. The GAN is in charge of interacting with the generator in order to send MSI-like images. In this way, our method can make up for a lot of missing data and make the results look real, which also solves the prior problem. In addition, we employ a combination of emotional and quantitative methodologies to assess our methodology and achieve exceptional results. [ABSTRACT FROM AUTHOR]

Nowadays pollution levels are increased due to the increase in the intensity of the vehicles. Crude oil petroleum product prices also increased due to the scarcity of crude oil. So many researchers are doing their projects on the replacement of petroleum products by adding non-edible oil. In this research, diesel is added with ethanol RMSE & Jatropha oil for reducing the price of the fuel & emissions without affecting the performance of the engine. Jatropha oil is converted into biofuel by transesterification process, the catalyst used in ethanol & % of sulphuric acid. Jatropha biodiesel & ethanol is added to diesel in different composition and tested in variable compression engine at different load condition. An emission test is carried out in AUL 5 gas analysed at different load conditions. [ABSTRACT FROM AUTHOR]

Drainage monitoring and maintenance is one of the important key factor for environment and public safety. It plays a major role in big cities where the population is high and also in order to maintain the city clean. To do follow the functioning of drainage, regular monitoring is needed. The present system using man power is difficult to monitor and also it is not possible to identify the clogs present in the drainage system. More over worker cannot identify the place in which the clog is present. As well as the unawareness by the worker leads to accidents due to the lack of knowledge about the hole in the drainage. More Workers are involved in this cleaning process and it is difficult to get more manpower in the future. In some cities lids may be used over the drainage system for clog cleaning purposes. Workers unknowingly not close lids properly which cause accidents. All the above said problems are replaced by the smart sensors in this project and it is monitoring using the IoT. [ABSTRACT FROM AUTHOR]

A multicolor luminescence investigation of Dy3+ and Eu3+ codoped Na6CaP2O9 phosphors were performed by diffused reflectance spectral analysis and photoluminescence analysis. The X-ray diffraction results revealed that the obtained phosphors possessed pure hexagonal structure. The band gap energies of the synthesized samples were determined using Kubeika Munk theory and Tauc plot. The energy transfer among Dy3+ and Eu3+ ions were confirmed by the luminescence spectra and the mechanism behind is illustrated with the help of partial energy level diagram. Under an excitation of 393 nm, Dy3+ doped Na6CaP2O9phosphors exhibited a white emission consisting of two emission peaks at 480 nm and 574 nm, which corresponds to the 4F9/2 → 6H15/2 and 4F9/2 → 6H13/2 transitions of Dy3+ ions. With the addition of Eu3+ ions, a red emission appeared and significantly improved via the energy transfer from Dy3+ to Eu3+ ions, and a lower CCT value was achieved. This shift in color from cool white light to orange-red light and associated energy transfer provides a further approach to modify the emission spectral profile of the examined phosphors. The results show that the sample Na6CaP2O9: Dy, Eu color-tunable phosphor can be a potential candidate for W-LEDs. [ABSTRACT FROM AUTHOR]

Soil is the significant material for placing all the constructed structures; it has very good engineering properties up to some limited extent. The soil that doesn't have the engineering property is not good for laying down the structures on the available soil surface. It should be properly treated and soil to be improved before the construction process starts. The soil index properties and shearing characteristics are chief properties for the soil; the several index properties include the specific gravity, liquid limit, plastic limit, particle gradation, moisture content, density parameters on other hand the engineering properties includes the shearing strength, bearing capacity and settlement property of soil. In this research work, the prepared soil is identified in the Mumbai harbour, the soil is prepared for constructing the container port where the large containers are stacked on the given ground. The various soil index properties and engineering characteristics are investigated in two distinct way-the test carried before the soil is treated and the soil investigated, after the soil is treated by the adding some percentage of cementitious compound, after arriving the results of index and engineering properties of soil, the settlement analysis is carried out to categorize the settlement quantification. The quality of soil is improved by adding the admixtures and the result in minimizing the settlement of the soil, whereas the settlement is higher in the soil before the soil is treated. The 25% of RHA and 15% FA reduces the settlement of the soil; the value of the settlement is 0.22mm and 0.75mm respectively. The settlement is minimized when the cementitious compound is blended with the natural soil. [ABSTRACT FROM AUTHOR]

Face detection is a technology that identifies human faces in digital images. There are different techniques used to detect the face of human one among that technique is "Face detection using Anchor cascade based network" this technique provides output with high detection accuracy at low rate of negative samples. The importance of the project is it cascades or concatenates the outline of image and sense organs of image i.e., depth of the image. This technique provides a high detection accuracy for large neural networks (extracts the wide range features of an image) whereas, we cannot obtain features of an image in which is at a longer distance in cascaded network function. In order to overcome this problem we use Anchor based cascaded network [ABSTRACT FROM AUTHOR]

The goal of this research is to evaluate the heat transfer and turbulent flow friction characteristics in a circular flow in an experimental setting a heat-flux tube with a variety of inserts. The spinning flow caused by the multiple inserts, as well as the turbulence of flow along the tube wall induced by the surface, should both increase heat transmission in the experiment.. At the tube input, Reynolds values ranging from 3000 to 9200 were used in the experiments. In addition, the impact of various inserts is investigated. Helical tape has been shown to improve heat transfer rates by up to 20% at constant pumping power, depending on Re. As the Reynolds number grows, the efficiency of augmentation decreases. [ABSTRACT FROM AUTHOR]

Flying ad-hoc network (FANET) plays a crucial role in almost all realm of human life due to its access to internet along with high mobility. The main factors that account for designing an excellent flying ad-hoc network involves, high throughput, congestion and collision avoidance, energy efficiency, low end-to-end delay, channel utilization etc. Depending upon the scenarios whether it be a rescue mission or weather monitoring, where Unmanned Aerial Vehicles (UAV) are employed, specific protocols are required to enhance the performance. To aid the dynamic and mobile nature of UAVs in FANETs, various Medium Access Control (MAC) protocols are developed based on requirements. MAC protocols are classified into contention-based, contention-free and hybrid domains, on the basis of how the channel is accessed. Hybrid protocols are more powerful than the other two categories as it combines the advantages of both domains. This paper aims to provide an extensive study of the most recent hybrid protocols along with their strengths and weakness. Regarding this, the existing survey papers are discussed to reveal their findings towards the designing of MAC protocols. Different aspects including methodologies, objectives, assumptions, achieved enhancements, limitations, are covered. Furthermore, the research gap in this field is discussed. [ABSTRACT FROM AUTHOR]

Heavy metal contamination such as arsenic becomes serious threat to the health and environment of many millions in a worldwide. Arsenic contamination especially in paddy field has driven to the accumulation of As in paddy soils and possibly have adverse effects on rice products. To assess the level of severity of arsenic in paddy field is a major constraint at early stages. In the past, quantification of concentration of arsenic has been as difficult as reducing it. Thus label free Aptamer based biosensor is the most reliable sensor recently due to the advantages for the sensitive and selective detection towards detecting arsenic. Finally, this paper will discuss the current outcomes in arsenic detection using Aptasensor with sensing element formatting in enhancing the sensor signal for detection. [ABSTRACT FROM AUTHOR]

According to media reports, environmental pollution by heavy metals is harmful to the millions of people across the world. Apart from that, heavy metal accumulation may have an effect on animal and plants as well due to their toxicity. In agriculture sector, irrigation with high a toxicity of heavy metals will affect the growth of plant. Rice for example is grown in flooded fields thus are easily immobilized as compared to dryland crop. In fact, this heavy metal is readily available and become severe to paddy plant. Therefore, this study aims to quantify and focus on the concentrations of arsenic and zinc in paddy grains, where it will help a researcher to monitor and trace the amount of heavy metal in paddy field especially in paddy grains. [ABSTRACT FROM AUTHOR]

The present work reports structural and luminescence studies on Dy3+ doped borofluorophosphate (BFPDY) glasses prepared with the chemical composition of (40-x)B2O3 + 30P2O5 + 10ZnF + 10K2O + 10BaO + xDy2O3, where x = 0.1, 0.2, 0.5 and 1 mol% by melt quenching technique. The structural and optical properties of the prepared glasses were analysed by means of XRD, FTIR, UV-V is absorption spectroscopy and photoluminescence emission and excitation spectra. XRD results confirm the amorphous nature of glass and FTIR studies reveals the presence of various stretching and bending vibrations of different structural units within the sample. The optical absorption spectrum has been recorded at room temperature and different absorption transitions were obtained and it is found that the transition via 6H15/2→6P7/2 is more prominent. From the absorption spectrum, optical band gap energy, nephelauxetic ratio (β) and the bonding parameter (δ) were determined. Excitation spectrum was recorded in the region 300-500 nm by monitoring emission at 572 nm and characteristic excitation bands were observed. The band at 348 nm arising through the transition 6H15/2→6P7/2 shows maximum intensity. The photoluminescence spectra of the fitted glasses have been recorded at an excitation wavelength of 348 nm and the spectra contain two intense emission bands in the blue (483 nm) and yellow (572 nm) regions and a weak band in the red region (663 nm). Concentration dependent variations in emission intensities were analysed. It is observed from the emission spectra that the luminescence intensity increases with the increase in Dy3+ ion content up to 0.5 mol% beyond that it decreases due to luminescence quenching. The Y/B intensity ratio by varying the concentration of Dy2O3 is also studied. The emission intensity were characterized through Commission International d'Eclairage (CIE) 1931 chromaticity diagram to explore its suitability for white light emission applications. [ABSTRACT FROM AUTHOR]