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14,088 results on '"Nishan A"'

1. Helly Shah on Amazon miniTV's Naam Namak Nishan

Subjects
Advertising, marketing and public relations
Abstract

Byline: Adgully Bureau Amazon miniTV, Amazon's free video streaming service, recently premiered its patriotic drama series, Naam Namak Nishan. With an impressive rating of 8 on IMDB, the narrative perfectly [...]

Published
2024

2. Naam Namak Nishan': Brotherhood and Patriotism on Amazon miniTV

Subjects
Television programs, Patriotism, Advertising, marketing and public relations
Abstract

Byline: Adgully Bureau Amazon miniTV, Amazon's free video streaming service, rings in Friendship Day by announcing its upcoming drama series, titled Naam Namak Nishan. Centred around meaningful themes of brotherhood [...]

Published
2024

3. Pakistan honors Malaysian PM with prestigious Nishan-e-Pakistan Award

Subjects
General interest, News, opinion and commentary
Abstract

Islamabad -- The government of Pakistan conferred Nishan-e-Pakistan, the country's highest civilian award, upon Malaysian Prime Minister Dato' Seri Anwar Ibrahim during a ceremony at Aiwan-e-Sadr on Thursday. President Asif [...]

Published
2024

6. Water Quality Assessment and Management Strategies for Nishan Reservoir, Sihe River, and Yihe River Based on Scientific Evaluation.

Author

Zhang, Wei-Hua, Gao, Yuan, Wang, Ying, and Zhou, Jing

Subjects
WATER quality management, ALGAL blooms, ALGAL populations, BIOCHEMICAL oxygen demand, CHEMICAL oxygen demand, ALGAL communities, WATER quality monitoring
Abstract

Due to rapid urbanization, population growth, industrialization, and agricultural activities, there is an increasing demand for freshwater resources, leading to heightened pressure on watershed ecosystems. This study focused on the Nishan Reservoir, Qufu Sihe River, and Qufu Yihe River, conducting field investigations on these water bodies during the spring of 2021 and 2022. Water samples were collected and analyzed for key water quality indicators, including chemical oxygen demand (COD), biochemical oxygen demand (BOD), total nitrogen (TN), total phosphorus (TP), ammonia nitrogen (AN), chlorophyll A, and algal cell density. This study unveiled notable correlations among various water quality parameters, including positive associations between BOD and COD, chlorophyll A and algal cell density, and inverse relationships with total phosphorus. Moreover, significant positive correlations were identified between total nitrogen and ammonia nitrogen, as well as between ammonia nitrogen and chlorophyll A. The study highlighted that the TP concentration surpassed the threshold of 0.20 mg/L in 2021, potentially exacerbating the proliferation of algae, leading to algal blooms and adversely affecting the aquatic ecosystem. This study emphasizes the significance of broadening the geographical scope and utilizing long-term datasets to discern trends, determinants, and management approaches pertinent to water quality. Furthermore, this study underscores the imperative of investigating the influence of nitrogen-to-phosphorus nutrient ratios on the composition and proliferation of algal populations, while also taking into account the potential impact of additional factors like light availability, temperature, and water flow on the dynamics of algal communities. [ABSTRACT FROM AUTHOR]

Published
2024
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9. PR NO. 242 PRESIDENT RECOMMENDS NISHAN-I-IMTIAZ FOR LATE NAWABZADA NASRULLAH KHAN

Subjects
Public relations agencies -- Officials and employees, Company public relations, News, opinion and commentary
Abstract

ISLAMABAD, Pakistan -- The following information was released by the Government of Pakistan: President Asif Ali Zardari has recommended the conferment of Nishan-i-Imtiaz (Posthumous) upon late Nawabzada Nasrullah Khan in [...]

Published
2024

10. Le Dr Nishan Moheeputh entendu par le Medical Council aujourd'hui

Subjects
News, opinion and commentary
Abstract

Byline: Reshma Gulbul-Nathoo Le Dr Nishan Moheeputh, consultant en chirurgie plastique, reconstructive et esthétique, qui avait pratiqué l'intervention chirurgicale sur la magistrate Varsha Devi Biefun Doorga, décédée le 23 juillet [...]

Published
2024

11. Amazon miniTV presents glimpse of young cadets with Naam Namak Nishan

Subjects
Soldiers, Mass communications
Abstract

Byline: BestMediaInfo Bureau Delhi: Amazon miniTV aims to celebrate the spirit of friendship and brotherhood with its upcoming series, titled Naam Namak Nishan. The streaming service unveiled the trailer offering [...]

Published
2024

12. WORLD CIVILIZATIONS FORUM OPENS IN CHINA'S NISHAN

Subjects
News, opinion and commentary
Abstract

JINAN -- The following information was released by the State Council of the People's Republic of China: The 10th Nishan Forum on World Civilizations kicked off on Wednesday with the [...]

Published
2024

13. World civilizations forum opens in China's Nishan

Subjects
Business, regional
Abstract

JINAN, July 11, 2024 (Xinhua via COMTEX) -- The 10th Nishan Forum on World Civilizations kicked off on Wednesday with the theme of Traditional Culture and Modern Civilization. The forum [...]

Published
2024

14. World civilizations forum opens in China's Nishan

Subjects
Business, general, General interest, News, opinion and commentary
Abstract

JINAN, July 10, 2024 (Xinhua via COMTEX) -- The 10th Nishan Forum on World Civilizations kicked off on Wednesday with the theme of Traditional Culture and Modern Civilization. The forum [...]

Published
2024

15. KASHKADARE REGIONAL ADMINISTRATION OF THE STATE ASSETS MANAGEMENT AGENCY OF THE REPUBLIC OF UZBEKISTAN invites tenders for Evaluation Service of the Empty Post Office Building in Nishan District

Subjects
Office buildings -- Uzbekistan, Postal service, News, opinion and commentary
Abstract

KASHKADARE REGIONAL ADMINISTRATION OF THE STATE ASSETS MANAGEMENT AGENCY OF THE REPUBLIC OF UZBEKISTAN, Uzbekistan has invited tenders for Evaluation Service of the Empty Post Office Building in Nishan District. [...]

Published
2024

16. KASHKADARE REGIONAL ADMINISTRATION OF THE STATE ASSETS MANAGEMENT AGENCY OF THE REPUBLIC OF UZBEKISTAN invites tenders for Evaluation Service of Administrative Warehouse Buildings and Structures in Nishan District

Subjects
News, opinion and commentary
Abstract

KASHKADARE REGIONAL ADMINISTRATION OF THE STATE ASSETS MANAGEMENT AGENCY OF THE REPUBLIC OF UZBEKISTAN, Uzbekistan has invited tenders for Evaluation Service of Administrative Warehouse Buildings and Structures in Nishan District. [...]

Published
2024

22. Nishan-i-Imtiaz (M) awarded to Turkiye's Commander of Land Forces

Subjects
Turkey. Army, General interest, News, opinion and commentary
Abstract

President Asif Ali Zardari conferred on Monday Pakistan's prestigious award Nishan-i-Imtiaz (Military) upon Gen Selcuk Bayraktaroglu, Commander of Turkish Land Forces, during a special investiture ceremony held at Aiwan-e-Sadr. He [...]

Published
2024

23. Turkish chief of staff Metin Gurak awarded Nishan-i-Imtiaz in Pakistan

Subjects
General interest, News, opinion and commentary
Abstract

Chief of Turkish General Staff, General Metin Gurak was conferred upon Nishan-i-Imtiaz military for his efforts toward strengthening Pak-Turkiye defence relations. President Asif Zardari conferred prestigious award on Chief of [...]

Published
2024

25. This is Nishan

Subjects
General interest, News, opinion and commentary
Abstract

QUFU: Shandian News has issued the following press release: According to Shandian News reports: A mountain does not have to be high; its fame lies in the presence of immortals. [...]

Published
2024

26. This is Nishan

Subjects
Business, News, opinion and commentary
Abstract

QUFU, China, July 11, 2024 /PRNewswire/ -- According to Shandian News reports: A mountain does not have to be high; its fame lies in the presence of immortals. Located approximately [...]

Published
2024

27. KASHKADARE REGIONAL ADMINISTRATION OF THE STATE ASSETS MANAGEMENT AGENCY OF THE REPUBLIC OF UZBEKISTAN invites tenders for Appraisal Service of the Trade Store Building Located at 31 Mirishkor Street, Istiqbol Mfy, Nishan District

Subjects
Real property -- Valuation, News, opinion and commentary
Abstract

KASHKADARE REGIONAL ADMINISTRATION OF THE STATE ASSETS MANAGEMENT AGENCY OF THE REPUBLIC OF UZBEKISTAN, Uzbekistan has invited tenders for Appraisal Service of the Trade Store Building Located at 31 Mirishkor [...]

Published
2024

30. PR NO. 62 PRESIDENT CONFERS NISHAN-I-PAKISTAN UPON PRINCE RAHIM AGA KHAN ISLAMABAD: 07, JUNE 2024

Subjects
Public relations agencies -- Officials and employees, Legislators -- Public relations, Company public relations, News, opinion and commentary, Aga Khan Development Network -- Public relations
Abstract

ISLAMABAD, Pakistan -- The following information was released by the Government of Pakistan: President Asif Ali Zardari conferred the Award of 'Nishan-i-Pakistan' upon Prince Rahim Aga Khan in recognition of [...]

Published
2024

32. PR NO. 277 PRESIDENT CONFERS NISHAN-I-IMTIAZ (MILITARY) UPON COMMANDER OF TURKISH LAND FORCES ISLAMABAD: APRIL 29, 2024

Subjects
Turkey. Army -- Public relations, Public relations agencies -- Officials and employees, Company public relations, News, opinion and commentary
Abstract

ISLAMABAD, Pakistan -- The following information was released by the Government of Pakistan: President Asif Ali Zardari conferred the award of Nishan-i-Imtiaz (Military) upon General Selcuk Bayraktaroglu, Commander of Turkish [...]

Published
2024

33. AdaptAgent: Adapting Multimodal Web Agents with Few-Shot Learning from Human Demonstrations

Author

Verma, Gaurav, Kaur, Rachneet, Srishankar, Nishan, Zeng, Zhen, Balch, Tucker, and Veloso, Manuela

Subjects
Computer Science - Artificial Intelligence, Computer Science - Computation and Language, Computer Science - Machine Learning
Abstract

State-of-the-art multimodal web agents, powered by Multimodal Large Language Models (MLLMs), can autonomously execute many web tasks by processing user instructions and interacting with graphical user interfaces (GUIs). Current strategies for building web agents rely on (i) the generalizability of underlying MLLMs and their steerability via prompting, and (ii) large-scale fine-tuning of MLLMs on web-related tasks. However, web agents still struggle to automate tasks on unseen websites and domains, limiting their applicability to enterprise-specific and proprietary platforms. Beyond generalization from large-scale pre-training and fine-tuning, we propose building agents for few-shot adaptability using human demonstrations. We introduce the AdaptAgent framework that enables both proprietary and open-weights multimodal web agents to adapt to new websites and domains using few human demonstrations (up to 2). Our experiments on two popular benchmarks -- Mind2Web & VisualWebArena -- show that using in-context demonstrations (for proprietary models) or meta-adaptation demonstrations (for meta-learned open-weights models) boosts task success rate by 3.36% to 7.21% over non-adapted state-of-the-art models, corresponding to a relative increase of 21.03% to 65.75%. Furthermore, our additional analyses (a) show the effectiveness of multimodal demonstrations over text-only ones, (b) shed light on the influence of different data selection strategies during meta-learning on the generalization of the agent, and (c) demonstrate the effect of number of few-shot examples on the web agent's success rate. Overall, our results unlock a complementary axis for developing widely applicable multimodal web agents beyond large-scale pre-training and fine-tuning, emphasizing few-shot adaptability., Comment: 18 pages, 3 figures, an abridged version to appear in NeurIPS 2024 AFM Workshop

Published
2024

34. Challenges in Guardrailing Large Language Models for Science

Author

Pantha, Nishan, Ramasubramanian, Muthukumaran, Gurung, Iksha, Maskey, Manil, and Ramachandran, Rahul

Subjects
Computer Science - Artificial Intelligence
Abstract

The rapid development in large language models (LLMs) has transformed the landscape of natural language processing and understanding (NLP/NLU), offering significant benefits across various domains. However, when applied to scientific research, these powerful models exhibit critical failure modes related to scientific integrity and trustworthiness. Existing general-purpose LLM guardrails are insufficient to address these unique challenges in the scientific domain. We provide comprehensive guidelines for deploying LLM guardrails in the scientific domain. We identify specific challenges -- including time sensitivity, knowledge contextualization, conflict resolution, and intellectual property concerns -- and propose a guideline framework for the guardrails that can align with scientific needs. These guardrail dimensions include trustworthiness, ethics & bias, safety, and legal aspects. We also outline in detail the implementation strategies that employ white-box, black-box, and gray-box methodologies that can be enforced within scientific contexts.

Published
2024

35. FISHNET: Financial Intelligence from Sub-querying, Harmonizing, Neural-Conditioning, Expert Swarms, and Task Planning

Author

Cho, Nicole, Srishankar, Nishan, Cecchi, Lucas, and Watson, William

Subjects
Computer Science - Artificial Intelligence, Computer Science - Computation and Language, Computer Science - Information Retrieval, Computer Science - Machine Learning
Abstract

Financial intelligence generation from vast data sources has typically relied on traditional methods of knowledge-graph construction or database engineering. Recently, fine-tuned financial domain-specific Large Language Models (LLMs), have emerged. While these advancements are promising, limitations such as high inference costs, hallucinations, and the complexity of concurrently analyzing high-dimensional financial data, emerge. This motivates our invention FISHNET (Financial Intelligence from Sub-querying, Harmonizing, Neural-Conditioning, Expert swarming, and Task planning), an agentic architecture that accomplishes highly complex analytical tasks for more than 98,000 regulatory filings that vary immensely in terms of semantics, data hierarchy, or format. FISHNET shows remarkable performance for financial insight generation (61.8% success rate over 5.0% Routing, 45.6% RAG R-Precision). We conduct rigorous ablations to empirically prove the success of FISHNET, each agent's importance, and the optimized performance of assembling all agents. Our modular architecture can be leveraged for a myriad of use-cases, enabling scalability, flexibility, and data integrity that are critical for financial tasks., Comment: Accepted at the 5th ACM International Conference on AI in Finance (ICAIF '24)

Published
2024
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38. Nishan-i-Pakistan conferred on Saudi Defence Minister

Subjects
International cooperation, General interest, News, opinion and commentary
Abstract

President Asif Ali Zardari on the eve of the Pakistan Day conferred the Nishan-i-Pakistan award on Minister for Defence of the Kingdom of Saudi Arabia, Prince Khalid bin Salman bin [...]

Published
2024

40. New Biological Factors Study Findings Have Been Reported from Jining University (Water Quality Assessment and Management Strategies for Nishan Reservoir, Sihe River, and Yihe River Based on Scientific Evaluation)

Subjects
Water quality -- Research -- Reports -- Analysis, Strategic planning (Business) -- Reports -- Analysis -- Research, Soil conservation -- Analysis -- Research -- Reports, Water -- Management, Company business management, Biological sciences, Health
Abstract

2024 AUG 13 (NewsRx) -- By a News Reporter-Staff News Editor at Life Science Weekly -- Investigators publish new report on biological factors. According to news originating from Jining, People's [...]

Published
2024

41. 尼山-峄山区外来入侵草本植物风险评估.

Author

刘晶, 杨艺涵, 钱永强, 陈雨峰, 刘丹, 解孝满, 刘岳含, 柳鑫, and 邹博坤

Abstract

Copyright of Acta Prataculturae Sinica is the property of Acta Prataculturae Sinica Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Published
2024
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43. Analysis of sources and characteristics of typical non-point pollution in a small watershed of Nishan reservoir, China

Author

WANG Liping, LOU Shanchong, SUN Xiuling, YIN Erqin, and SUN Jiayu

Subjects
Environmental sciences, nishan reservoir, non-point source pollution, Agriculture (General), source management, GE1-350, pollution characters, runoff plot, S1-972
Abstract

To study the influence of non-point source pollution on the water environment of Nishan reservoir, China, the pollution characteristics of different land use types(corn field, peanut field, sweet potato field, walnut forest, and village)were analyzed based on the water quality of Nishan reservoir and inflow rivers, and pollutant loss in different land use types(village and corn fields)was analyzed using delimiting runoff plots. The results showed that the eutrophication rate of Nishan reservoir was 89.58% during January 2016 to December 2019, and total nitrogen(TN)of Zhangma River and Muzhuang River greatly exceeded the Ⅴ level of Environmental Quality Standards for Surface Water(GB 3838—2002). Nitrogen and phosphorus pollution in corn and peanut fields was high; in these fields, the TN exceeded the Ⅴ standard by 2.05 and 0.93 times, and the total phosphorus(TP)exceeded by 1.38 and 3.08 times, respectively. The pollutant in the village was mainly organic matter, and chemical oxygen demand(CODCr)(32.0 mg·L-1)was the highest. During rainfall, the loss of pollutants(CODCr, TN, NH3-N, and TP)in the village and corn field runoff plots first showed an increasing and then a decreasing trend. The loss concentration of CODCr was 9.0~43.0 mg·L-1 in the village. TN was 1.38~3.40 mg·L-1 and TP was 0.28~1.25 mg·L-1 in the corn field. The highest loss of pollutants occurred early during rainfall. Our results indicated that land use types have a great effect on non-point source pollution. The loss of nitrogen and phosphorus in wheat-corn field should be focused, and initial rainwater should be prevented and treated.

Published
2022

45. Supply Of Blazer Cloth Grey, Blazer Cloth Red, B Banner, Pagari Mech, Regiment Cane, Nishan Pike, Blazer Jcos Mess, Pj Crest Cloth 75, Company Championship Flag, Company Position Flag Base Brass, Comm Pole Base Brass, Company Flag Base Brass - Quarter Gua

Subjects
Textile fabrics, Textile industry, Business, international
Abstract

Tenders are invited for Supply of Blazer Cloth Grey, Blazer Cloth Red, B Banner, Pagari mech, Regiment Cane, Nishan Pike, Blazer JCOs Mess, PJ Crest Cloth 75, Company Championship Flag, [...]

Published
2024

47. Repair And Maintenance Of Gopal Nishan Chowki At Bada Bazar, Nathdwara

Subjects
Business, international
Abstract

Tenders are invited for Repair and maintenance of gopal nishan chowki at bada bazar, nathdwara. Tender Category: Works OpeningDate: Feb 26 2024 12:00AM Major organization: Nathdwara Temple Board Address: Nirman [...]

Published
2024

48. Smartphone-based Eye Tracking System using Edge Intelligence and Model Optimisation

Author

Gunawardena, Nishan, Lui, Gough Yumu, Ginige, Jeewani Anupama, and Javadi, Bahman

Subjects
Computer Science - Computer Vision and Pattern Recognition, Computer Science - Human-Computer Interaction, Computer Science - Machine Learning, Computer Science - Performance
Abstract

A significant limitation of current smartphone-based eye-tracking algorithms is their low accuracy when applied to video-type visual stimuli, as they are typically trained on static images. Also, the increasing demand for real-time interactive applications like games, VR, and AR on smartphones requires overcoming the limitations posed by resource constraints such as limited computational power, battery life, and network bandwidth. Therefore, we developed two new smartphone eye-tracking techniques for video-type visuals by combining Convolutional Neural Networks (CNN) with two different Recurrent Neural Networks (RNN), namely Long Short Term Memory (LSTM) and Gated Recurrent Unit (GRU). Our CNN+LSTM and CNN+GRU models achieved an average Root Mean Square Error of 0.955cm and 1.091cm, respectively. To address the computational constraints of smartphones, we developed an edge intelligence architecture to enhance the performance of smartphone-based eye tracking. We applied various optimisation methods like quantisation and pruning to deep learning models for better energy, CPU, and memory usage on edge devices, focusing on real-time processing. Using model quantisation, the model inference time in the CNN+LSTM and CNN+GRU models was reduced by 21.72% and 19.50%, respectively, on edge devices.

Published
2024

49. GRB Redshift Classifier to Follow-up High-Redshift GRBs Using Supervised Machine Learning

Author

Dainotti, Maria Giovanna, Bhardwaj, Shubham, Cook, Christopher, Ange, Joshua, Lamichhane, Nishan, Bogdan, Malgorzata, McGee, Monnie, Nadolsky, Pavel, Sarkar, Milind, Pollo, Agnieszka, and Nagataki, Shigehiro

Subjects
Astrophysics - High Energy Astrophysical Phenomena
Abstract

Gamma-ray bursts (GRBs) are intense, short-lived bursts of gamma-ray radiation observed up to a high redshift ($z \sim 10$) due to their luminosities. Thus, they can serve as cosmological tools to probe the early Universe. However, we need a large sample of high$-z$ GRBs, currently limited due to the difficulty in securing time at the large aperture Telescopes. Thus, it is painstaking to determine quickly whether a GRB is high$z$ or low$-z$, which hampers the possibility of performing rapid follow-up observations. Previous efforts to distinguish between high$-$ and low$-z$ GRBs using GRB properties and machine learning (ML) have resulted in limited sensitivity. In this study, we aim to improve this classification by employing an ensemble ML method on 251 GRBs with measured redshifts and plateaus observed by the Neil Gehrels Swift Observatory. Incorporating the plateau phase with the prompt emission, we have employed an ensemble of classification methods to enhance the sensitivity unprecedentedly. Additionally, we investigate the effectiveness of various classification methods using different redshift thresholds, $z_{threshold}$=$z_t$ at $z_{t}=$ 2.0, 2.5, 3.0, and 3.5. We achieve a sensitivity of 87\% and 89\% with a balanced sampling for both $z_{t}=3.0$ and $z_{t}=3.5$, respectively, representing a 9\% and 11\% increase in the sensitivity over Random Forest used alone. Overall, the best results are at $z_{t} = 3.5$, where the difference between the sensitivity of the training set and the test set is the smallest. This enhancement of the proposed method paves the way for new and intriguing follow-up observations of high$-z$ GRBs., Comment: 36 pages, 14 Figures (6 Figures with single panel, 4 Figures with 8 panels, 2 Figures with 4 panels, 1 Figure with 12 panels, 1 Figure with 2 panels), 6 Tables, submitted to ApJS

Published
2024

50. President confers Nishan-i-Pakistan award upon head of Bohra community

Subjects
Social service, General interest, News, opinion and commentary
Abstract

President Dr Arif Alvi on Tuesday conferred the civil award of Nishan-i-Pakistan on Dr Syedna Mufaddal Saifuddin, the Head of the Dawoodi Bohra Community, in recognition of his services for [...]

Published
2023

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