An Efficient Implementation of Built in Self Diagnosis for Low Power Test Pattern Generator

A New architecture of Built-In Self-Diagnosis is presented in this project. The logic Built-In-Self-Test architecture method is extreme response compaction architecture. This architecture first time enables an autonomous on-chip evaluation of test responses with negligible hardware overhead. Architecture advantage is all data, which is relevant for a subsequent diagnosis, is gathered during just one test session. Due to some reasons, the existing method Built-In Self-Test is less often applied to random logic than to embedded memories.  The generation of deterministic test patterns can become prohibitively high due to hardware overhead. The diagnostic resolution of compacted test responses is in many cases poor and the overhead required for an acceptable resolution may become too high.  Modifications in Linear Feedback Shift Register to generate test pattern with security for modified Built-In-Self-Test applications with reduced power requirement. The modified Built-In-Self-Test circuit incorporates a fault syndrome compression scheme and improves the circuit speed with reduction of time

Carbon Footprint: A New Farm Management Consideration in the Southern High Plains

As concerns continue to mount regarding man induced impacts to the global climate, the SHPT region could be faced with a unique scenario in which the net carbon balance should be considered in the producer’s enterprise selection and production systems. Currently, the SHPT produces nearly one third of the U.S. cotton crop. Under a potential cap and trade system the challenge for the agricultural industry in the SHPT may be how to sustain the region’s economic base and production capabilities. Thus, the objective of this study was to measure the net carbon relationships between irrigated cotton and irrigated corn production systems on the SHPT using data from the Texas Alliance for Water Conservation (TAWC, 2009). Due to the unique management and production challenges in the SHPT, additional comparisons were made regarding economic viability and irrigation efficiency. Within the parameters of this study, it is apparent that irrigated corn has an advantage over cotton in both its ability to return carbon to the soil, maintain profitability, and use water resources efficiently. If the agricultural industry is included in CO2 regulation, it would appear that irrigated agricultural producers in the SHPT who have the ability to move between irrigated cotton and corn should be aware of the advantages corn possesses. However, even under changing commodity prices and profitability scenarios, corn still presents a significant advantage over cotton in its ability to reduce atmospheric CO2 by depositing larger amounts of biomass carbon into the soil.Cape and Trade, carbon, farm management, Environmental Economics and Policy, Farm Management, Q18, Q28, Q54, Q56,

GSM based cost effective street lighting application

AbstractGenerating power play's a vital role in today's world. The project discuss about the controlling of the street light using real time clock application, which enables both Dim and Bright. Depends on the day light timings the street lights can be controlled by ON/OFF condition with the help of Real Time Clock (RTC). If any over load occurs the load will be cut and the information is transferred through GSM to server. Any disconnect in power the information is sent to server through GSM. If any complaint raised the user needs enter the number in the keypad which will be fixed in the street lamp and the message will be sent to Server through GSM

Field dissipation of pendimethalin and alachlor in sandy clay loam soil and its terminal residues in sunflower (Helianthus annus L.)

Field experiments were conducted with sunflower as a test crop during 2010-11 to study the dissipation kinetics and the persistence of pendimethalin and alachlor in sandy clay loam soil and its terminal residues in sunflower. Herbicides were applied at recommended and double the recommended dose along with control and the treatments were replicated thrice in randomized block design. The soil and plant samples collected at periodical intervals for herbicides residue determination using GC equipped with ECD detector. Results shows that the degradation of both the herbicides in soil was faster at higher dose of application than at the lower dose and the concentration decreased with the advancement in crop growth. While pendimethalin persisted in soil for 60 – 90 days, the alachlor persisted in soil for 30 - 45 days depending on the quantity of application. Degradation of both the herbicides in soil followed first order kinetics with the mean half life of 14.6 and 9.8 days respectively for pendimethalin and alachlor. Residues of these herbicides were below 0.001 mg/kg at the time of harvest in soil, sunflower seeds and stalks showed that these herbicides a can be safely used for the control of weeds in sunflower cultivation

Temporal dynamics of sucking pest and field response of promising insecticidal molecules in okra

To investigate the response due to application of newer insecticide on sucking pest in okra, a trial was designed at field level for three consecutive years from 2011-12 to 2013-14 in kharif season. Moreover, impacts of applied insecticides on natural enemies were also assessed. Based on experimental finding thiamethoxam 25WG 0.003% (2.83 per 3 leaves, 0.93 per 3 leaves), imidacloprid 70WG 0.004% (3.49 per 3 leaves, 1.30 per 3 leaves) and thiacloprid 21.7 SC 0.006% (4.28 per 3 leaves, 1.75 per 3 leaves) provided superior control of leafhoppers and whiteflies population on okra. Effectiveness of these treatments was reflected in terms of reduction in population of both insects and significantly increases (thiamethoxam: 95.50 q/ha, imidacloprid: 86.96 q/ha and thiacloprid: 80.99 q/ha) the fruit yield in comparison to others. However, the incidence of Yellow Vein Mosaic disease was recorded least in thiamethoxam 0.003% sprayed plots followed by imidacloprid 0.004%. Slow progress in the population ofwhitefly and leaf hopper was recorded in thiamethoxam 0.003% applied plots. There was positive correlation between whitefly and virus incidence in conducted field trial. Under the experiment, neonicotinoids group of insecticides have not adverse effect on natural enemies in okra crop. The information generated under the study can be incorporated in management modules in crop okra without disturbing the ecology of natural enemy and cropping system. In our findings, the quantitative data of temporal increment of whiteflies and mosaic disease will be helpful in understanding or formulating of epidemiological models

Prognóstico de exploração no Chat GPT com ética de inteligência artificial

Natural language processing innovations in the past few decades have made it feasible to synthesis and comprehend coherent text in a variety of ways, turning theoretical techniques into practical implementations. Both report summarizing software and sectors like content writers have been significantly impacted by the extensive Language-model. A huge language model, however, could show evidence of social prejudice, giving moral as well as environmental hazards from negligence, according to observations. Therefore, it is necessary to develop comprehensive guidelines for responsible LLM (Large Language Models). Despite the fact that numerous empirical investigations show that sophisticated large language models has very few ethical difficulties, there isn't a thorough investigation and consumers study of the legality of present large language model use. We use a qualitative study method on OpenAI's ChatGPT3 to solution-focus the real-world ethical risks in current large language models in order to further guide ongoing efforts on responsibly constructing ethical large language models. We carefully review ChatGPT3 from the four perspectives of bias and robustness. According to our stated opinions, we objectively benchmark ChatGPT3 on a number of sample datasets. In this work, it was found that a substantial fraction of principled problems are not solved by the current benchmarks; therefore new case examples were provided to support this. Additionally discussed were the importance of the findings regarding ChatGPT3's AI ethics, potential problems in the future, and helpful design considerations for big language models. This study may provide some guidance for future investigations into and mitigation of the ethical risks offered by technology in large Language Models applications.Las innovaciones en el procesamiento del lenguaje natural en las últimas décadas han hecho posible sintetizar y comprender textos coherentes en una variedad de formas, transformando las técnicas teóricas en implementaciones prácticas. Ambos informan que el software extenso y las industrias como la de los creadores de contenido se han visto significativamente afectadas por el modelo de lenguaje extensivo. Sin embargo, un modelo de lenguaje enorme podría mostrar evidencia de sesgo social, dando riesgos morales y ambientales por negligencia, según las observaciones. Por lo tanto, es necesario desarrollar lineamientos completos para los LLM (Modelos de Lenguaje Grandes) responsables. A pesar de que numerosas investigaciones empíricas muestran que los modelos sofisticados de lenguaje amplio tienen muy pocas dificultades éticas, no existe una investigación exhaustiva y un estudio del consumidor sobre la legalidad del uso actual de modelos de lenguaje amplio. Usamos un método de estudio cualitativo en ChatGPT3 de OpenAI para enfocarnos en resolver los riesgos éticos del mundo real en los modelos actuales de lenguaje amplio para guiar aún más los esfuerzos en curso en la construcción responsable de modelos éticos de lenguaje amplio. Analizamos cuidadosamente ChatGPT3 desde las cuatro perspectivas de sesgo y robustez. De acuerdo con nuestras opiniones expresadas, comparamos ChatGPT3 objetivamente en múltiples conjuntos de datos de muestra. En este trabajo se encontró que una fracción sustancial de los problemas de principios no son resueltos por los marcos actuales; por lo tanto, se han proporcionado nuevos ejemplos de casos para respaldar esto. Además, se discutió la importancia de los hallazgos sobre la ética de la IA de ChatGPT3, los problemas potenciales en el futuro y las consideraciones de diseño útiles para modelos de lenguaje grandes. Este estudio puede proporcionar algunas pautas para futuras investigaciones y mitigación de los riesgos éticos que ofrece la tecnología en grandes aplicaciones de Language Models.As inovações de processamento de linguagem natural nas últimas décadas tornaram possível sintetizar e compreender textos coerentes de várias maneiras, transformando técnicas teóricas em implementações práticas. Ambos relatam que softwares resumidos e setores como criadores de conteúdo foram significativamente afetados pelo extenso modelo de linguagem. Um enorme modelo de linguagem, no entanto, poderia mostrar evidências de preconceito social, dando riscos morais e ambientais por negligência, de acordo com as observações. Portanto, é necessário desenvolver diretrizes abrangentes para LLM (Large Language Models) responsáveis. Apesar do fato de numerosas investigações empíricas mostrarem que modelos sofisticados de linguagem ampla têm muito poucas dificuldades éticas, não há uma investigação completa e estudo de consumidores sobre a legalidade do uso atual de modelos de linguagem ampla. Usamos um método de estudo qualitativo no ChatGPT3 da OpenAI para focar na solução os riscos éticos do mundo real nos atuais modelos de linguagem ampla, a fim de orientar ainda mais os esforços contínuos na construção responsável de modelos éticos de linguagem ampla. Analisamos cuidadosamente o ChatGPT3 a partir das quatro perspectivas de viés e robustez. De acordo com nossas opiniões declaradas, comparamos objetivamente o ChatGPT3 em vários conjuntos de dados de amostra. Neste trabalho, constatou-se que uma fração substancial dos problemas de princípios não é resolvida pelos referenciais atuais; portanto, novos exemplos de casos foram fornecidos para apoiar isso. Além disso, foram discutidas a importância das descobertas sobre a ética de IA do ChatGPT3, possíveis problemas no futuro e considerações de design úteis para grandes modelos de linguagem. Este estudo pode fornecer algumas orientações para futuras investigações e mitigação dos riscos éticos oferecidos pela tecnologia em grandes aplicações de Modelos de Linguagem

Ion transport regulation by P2Y receptors, protein kinase C and phosphatidylinositol 3-kinase within the semicircular canal duct epithelium

<p>Abstract</p> <p>Background</p> <p>The ionic composition of the luminal fluid in the vestibular labyrinth is maintained within tight limits by the many types of epithelial cells bounding the lumen. Regulatory mechanisms include systemic, paracrine and autocrine hormones along with their associated intracellular signal pathways. The epithelium lining the semicircular canal duct (SCCD) is a tissue that is known to absorb sodium and calcium and to secrete chloride.</p> <p>Findings</p> <p>Transport function was assessed by measurements of short circuit current (<it>I</it>_<it>sc</it>) and gene transcript expression was evaluated by microarray. Neither ATP nor UTP (100 microM) on the apical side of the epithelium had any effect on <it>I</it>_<it>sc</it>. By contrast, basolateral ATP transiently increased <it>I</it>_{<it>sc </it>}and transepithelial resistance dropped significantly after basolateral ATP and UTP. P2Y2 was the sole UTP-sensitive purinergic receptor expressed. <it>I</it>_{<it>sc </it>}was reduced by 42%, 50% and 63% after knockdown of α-ENaC, stimulation of PKC and inhibition of PI3-K, while the latter two increased the transepithelial resistance. PKCdelta, PKCgamma and PI3-K were found to be expressed.</p> <p>Conclusions</p> <p>These observations demonstrate that ion transport by the SCCD is regulated by P2Y2 purinergic receptors on the basolateral membrane that may respond to systemic or local agonists, such as ATP and/or UTP. The sodium absorption from endolymph mediated by ENaC in SCCD is regulated by signal pathways that include the kinases PKC and PI3-K. These three newly-identified regulatory components may prove to be valuable drug targets in the control of pathologic vestibular conditions involving dysfunction of transport homeostasis in the ear, such as Meniere's disease.</p