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Pigments are known for their vital roles in the growth and development of plants and microbes. In addition, they are also an imperative component of several industries, including textiles, foods, and pharmaceuticals, owing to their immense colours and therapeutic potential. Conventionally, pigments are obtained from plant resources, and the advent of in-vitro propagation techniques boosted the massive production. However, it could not meet the booming demand, leading to the incorporation of new genetic engineering tools. This review focuses on the role of various genetic engineering techniques in enhancing pigment production in plants and microorganisms. It also critically analyzes the efficacy and bottlenecks of these techniques in augmenting pigment biosynthesis. Furthermore, the use of microbes as pigment biofactories and the prospects in the field of genome editing to augment pigment synthesis are discussed. The limitations in the existing techniques underline the need for advanced genome editing strategies to broaden the mass production of pigments to meet the surging needs.

Social Media is an arena in recent times for people to share their perspectives on a variety of topics. Most of the social interactions are through the Social Media. Though all the Online Social Networks allow users to express their views and opinions in many forms like audio, video, text etc, the most popular form of expression is text, Emoticons and Emojis. The work presented in this paper aims at detecting the sentiments expressed in the Social Media posts. The Machine Learning Models namely Bernoulli Bayes, Multinomial Bayes, Regression and SVM were implemented. All these models were trained and tested with Twitter Data sets. Users on Twitter express their opinions in the form of tweets with limited characters. Tweets also contain Emoticons and Emojis therefore Twitter data sets are best suited for the sentiment analysis. The effect of emoticons present in the tweet is also analyzed. The models are first trained only with the text and then they are trained with text and emoticon in the tweet. The performance of all the four models in both cases are tested and the results are presented in the paper.

We propose an easy to implement method for making small sample parametric inference about the root of an estimating equation expressible as a quadratic form in normal random variables. It is based on saddlepoint approximations to the distribution of the estimating equation whose unique root is a parameter's maximum likelihood estimator (MLE), while substituting conditional MLEs for the remaining (nuisance) parameters. Monotoncity of the estimating equation in its parameter argument enables us to relate these approximations to those for the estimator of interest. The proposed method is equivalent to a parametric bootstrap percentile approach where Monte Carlo simulation is replaced by saddlepoint approximation. It finds applications in many areas of statistics including, nonlinear regression, time series analysis, inference on ratios of regression parameters in linear models and calibration. We demonstrate the method in the context of some classical examples from nonlinear regression models and ratios of regression parameter problems. Simulation results for these show that the proposed method, apart from being generally easier to implement, yields confidence intervals with lengths and coverage probabilities that compare favourably with those obtained from several competing methods proposed in the literature over the past half-century.

We consider robust methods of likelihood and frequentist inference for the nonlinear parameter, say α, in conditionally linear nonlinear regression models. We derive closed-form expressions for robust conditional, marginal, profile and modified profile likelihood functions for α under elliptically contoured data distributions. Next, we develop robust exact-F confidence intervals for a and consider robust Fieller intervals for ratios of regression parameters in linear models. Several well-known examples are considered and Monte Carlo simulation results are presented.

Bug Tracking System is used to track the bugs and report it to the manager. Many Organizations and Companies assign projects to their employees. But sometimes they may fail to detect those bugs. This project is mainly developed to analyze and detect the bugs. In this paper, we designed an online compiler to detect and track the bugs and report it to the manager so as to manage time. It reduces the time and manual work of tracking the bugs, performs the regression testing. It focuses on easily detecting the bugs even though the employee is unaware of the concepts. It paves way for the manager to easily detect the performance of the employee and can hike them accordingly. There is no automatic system to detect the bugs. It is done manually only, which consumes much time and may fail to detect few bugs which the developer has no knowledge about it. In the proposed system, we have implemented an online compiler on which the manager can feed the code developed by the employees and to validate the code in easy manner. Each of the members in the organization has a separate login access to avoid confusion among them in performing their individual roles. By this system, Manager could identify who makes mistakes and hike them according to their performances randomly.

Kepentingan parkir awam berbayar di bandar tidak dapat disangkal memandangkan pemilikan dan penggunaan kenderaan persendirian semakin bertambah terutama dalam kalangan belia. Dalam masa yang sama, kuantiti dan kualiti parkir awam berbayar juga harus seiring dengan keperluan pengguna semasa. Justeru, objektif kajian ini adalah untuk mengkaji persepsi belia terhadap parkir awam berbayar di kawasan Lembah Klang. Kajian ini mengaplikasikan kaedah kuantitatif iaitu menerusi pengedaran borang soal selidik secara dalam talian kepada responden belia di Lembah Klang. Menerusi analisis faktor terhadap responden belia, didapati pembayaran caj parkir awam secara atas talian adalah lebih mudah dan menjimatkan masa serta kaum wanita lebih kerap menggunakan kenderaan persendirian. Selain itu, penggunaan parkir awam berbayar adalah sangat tinggi pada waktu bekerja iaitu selama lapan jam. Malah, kesediaan parkir awam menentukan bila pengguna ingin keluar dan pengguna turut berasa selamat apabila menggunakan tempat parkir awam pada waktu malam. Bilangan kotak parkir awam juga didapati mencukupi terutama semasa waktu puncak dan caj parkir awam wajar dikenakan cukai jualan dan perkhidmatan (SST). Rentetan itu, memandangkan permintaan terhadap parkir awam adalah tinggi, maka kerajaan harus menawarkan parkir awam yang releven dengan keperluan penduduk setempat.

Additionally, his patented product met an unfilled demand that existed across many chemical industries, including petroleum processing, chemical manufacturing, and metal production and fabrication. [...]from its inception, Lockitt, Inc., was on a steady growth trajectory. Lockden is strict on this safety-stock policy; if any of his regular customers has an unexpected need for Duralock, Lockden wants to fulfill that need. * The inventory policy for raw materials is to maintain the monthly ending inventory at 5% of the production needs for the next month. [...]the monthly ending inventory of Chem-glue should not exceed 300 liters. * Lockitt, Inc. expects all inventories at the end of December to be within these guidelines. * The cost of LD-paste and Chem-glue are $10.25 per pound and $50 per liter, respectively. * The production process requires two types of direct labor-LB075 and LH075. IMA supports the profession through research, teaching cases, the CMA® (Certified Management Accountant) program, continuing education, networking and advocacy of the highest ethical business practices.

The only serious rival is a South Korean import, SPX-SK, that is cheaper but less durable. [...]there is little to no after-sales service available to SPX-SK's U.S. customers. Yet others have simply been confused and frustrated with all the mixed signals. Since the beginning of her tenure, Bosch has been handling the majority of the company's budgeting process. [...]Bosch became the CEO, MHL also did not have a formal performance evaluation system. BOSCH-DRIVEN CHANGES TO PERFORMANCE MEASUREMENT AT MHL Bosch, who is conversant with cost-leadership strategies pursued by large companies, introduced a new performance evaluation system to MHL at the beginning of this year.

Immunotherapy using either checkpoint blockade or the adoptive transfer of antitumor lymphocytes has shown effectiveness in treating cancers with high levels of somatic mutations—such as melanoma, smoking-induced lung cancers and bladder cancer—with little effect in other common epithelial cancers that have lower mutation rates, such as those arising in the gastrointestinal tract, breast and ovary 1 – 7 . Adoptive transfer of autologous lymphocytes that specifically target proteins encoded by somatically mutated genes has mediated substantial objective clinical regressions in patients with metastatic bile duct, colon and cervical cancers 8 – 11 . We present a patient with chemorefractory hormone receptor (HR)-positive metastatic breast cancer who was treated with tumor-infiltrating lymphocytes (TILs) reactive against mutant versions of four proteins—SLC3A2, KIAA0368, CADPS2 and CTSB. Adoptive transfer of these mutant-protein-specific TILs in conjunction with interleukin (IL)-2 and checkpoint blockade mediated the complete durable regression of metastatic breast cancer, which is now ongoing for >22 months, and it represents a new immunotherapy approach for the treatment of these patients. Adoptive T cell therapy induced complete and durable remission in a patient with refractory metastatic breast cancer, providing proof of principle for this approach in breast cancer therapy.

The outer cuticle, middle cortex, and inner medulla make up hair, which is an epidermal outgrowth. Hair is resilient under harsh natural conditions, thus it is frequently collected at crime scenes, making human hair analysis important in the forensic sciences field. It aids in the formation of a triangle connecting a crime scene, a victim, and a culprit. The aim of this study is to observe the microscopic structure of male and female human hair. Samples of hair specimens from males and females were collected. The materials used were ethanol to degrease and a stereomicroscope to observe the structural differences between the male and female hair samples. The comparison between male and female hair is done on the grounds of color, shaft profiles, the proximal and distal ends of the hair, cuticle, and surface texture, and the other found characters. This study of comparison between male and female hair specimens revealed that the hair color at the distal end is found to be brown for females while it is completely black in that of males, and the surface texture of males is found to have some irregularities while there are no irregularities in female. This study can be concluded that the structural comparison between male and female hair specimens can be used as evidence for forensic analysis at crime scenes.