Riesz MRA of dyadic dilations and the corresponding Riesz wavelet on LCA groups

We have explored the concept of Riesz multiresolution analysis (Riesz MRA) on a locally compact Abelian group G, and have done a detailed study of the methods of construction of a Riesz wavelet from the given Riesz MRA. For simplicity, we have assumed the order of dilations to be two, i.e. we have worked with dyadic dilations. We have proved that precisely one function is required to construct a Riesz wavelet basis for the space L²(G).Publisher's Versio

Working with Farmers: The Key to Adoption of Improved Fodder Technologies

The lack of a close working relationship between agricultural research organizations, different extension organizations and with different categories of farmers is one of the most difficult institutional problems of agricultural technological implementation in India. Agricultural research and extension organizations generally fight over the same limited government resources and they try to increase the flow of resources coming to their respective institutions to solve day-today management problems, rather than ensuring that their respective organizations contribute to the broader goal of getting improved agricultural technology to all major categories of farmers. In addition, the researchers and extension workers of many research and extension organizations overlook the important roles that farmers can play, in implementing and disseminating technology and, through effective feedback mechanisms, in helping set priorities and improving programme relevance (Parwada et al., 2010). Agricultural production technologies especially improved fodder technologies which may be production, utilization and conservation are developed by researchers for fulfilling their objectives with their available resources and conditions (Sethi and Sharma, 2011). The choices of farmers are ignored and ultimately these developed technologies are not fitted to different categories of farmers who live in community basis with poor resources (Mwamuye et al., 2013). The objective of this abstract is to outline an approach for identifying researchextension-farmer linkage problems, and then to describe different mechanisms that might be used to solve these problems. The basic assumptions that underlie are agricultural technology is a complex blend of materials, processes, and knowledge, difficulty in transfer of different types of technologies to technology users and, most small-scale farmers operate relatively complex farming systems (Quddus, 2012). The identification of different technology adoption rate linked with farming communities will help in formulating of new technologies for better adoption

TalkToModel: Explaining Machine Learning Models with Interactive Natural Language Conversations

Machine Learning (ML) models are increasingly used to make critical decisions in real-world applications, yet they have become more complex, making them harder to understand. To this end, researchers have proposed several techniques to explain model predictions. However, practitioners struggle to use these explainability techniques because they often do not know which one to choose and how to interpret the results of the explanations. In this work, we address these challenges by introducing TalkToModel: an interactive dialogue system for explaining machine learning models through conversations. Specifically, TalkToModel comprises of three key components: 1) a natural language interface for engaging in conversations, making ML model explainability highly accessible, 2) a dialogue engine that adapts to any tabular model and dataset, interprets natural language, maps it to appropriate explanations, and generates text responses, and 3) an execution component that constructs the explanations. We carried out extensive quantitative and human subject evaluations of TalkToModel. Overall, we found the conversational system understands user inputs on novel datasets and models with high accuracy, demonstrating the system's capacity to generalize to new situations. In real-world evaluations with humans, 73% of healthcare workers (e.g., doctors and nurses) agreed they would use TalkToModel over baseline point-and-click systems for explainability in a disease prediction task, and 85% of ML professionals agreed TalkToModel was easier to use for computing explanations. Our findings demonstrate that TalkToModel is more effective for model explainability than existing systems, introducing a new category of explainability tools for practitioners. Code & demo released here: https://github.com/dylan-slack/TalkToModel.Comment: Pre-print; comments welcome! Reach out to [email protected] v3 update title and abstrac

Post Hoc Explanations of Language Models Can Improve Language Models

Large Language Models (LLMs) have demonstrated remarkable capabilities in performing complex tasks. Moreover, recent research has shown that incorporating human-annotated rationales (e.g., Chain-of- Thought prompting) during in-context learning can significantly enhance the performance of these models, particularly on tasks that require reasoning capabilities. However, incorporating such rationales poses challenges in terms of scalability as this requires a high degree of human involvement. In this work, we present a novel framework, Amplifying Model Performance by Leveraging In-Context Learning with Post Hoc Explanations (AMPLIFY), which addresses the aforementioned challenges by automating the process of rationale generation. To this end, we leverage post hoc explanation methods which output attribution scores (explanations) capturing the influence of each of the input features on model predictions. More specifically, we construct automated natural language rationales that embed insights from post hoc explanations to provide corrective signals to LLMs. Extensive experimentation with real-world datasets demonstrates that our framework, AMPLIFY, leads to prediction accuracy improvements of about 10-25% over a wide range of tasks, including those where prior approaches which rely on human-annotated rationales such as Chain-of-Thought prompting fall short. Our work makes one of the first attempts at highlighting the potential of post hoc explanations as valuable tools for enhancing the effectiveness of LLMs. Furthermore, we conduct additional empirical analyses and ablation studies to demonstrate the impact of each of the components of AMPLIFY, which, in turn, lead to critical insights for refining in-context learning

Constraints for Grassland Development in Kadesara Kala Village, Lalitpur, Bundelkhand: A Case Study

India is maintaining a livestock population of over 500 million and has a grim situation of forage and feed deficit to the tune of 35.6% green fodder, 10.95% crop residues and 44% concentrate. In term of nutrients, the deficit is expected to the tune of 24.6 and 19.9% respectively by the year 2020. The gap is to be bridged up through development as well as extension of appropriate fodder production technologies suitable for different farming situation strategies. Fifty-eight % of the available fodder comes from grazing land and 42% from stall feeding with crop residues (30%) and leaf fodder (12%). Grasses constitute the majority (88%) of fodder available in Uttar Pradesh (GOUP, 1994). However, the role of grasslands cannot be under judged, as the large animal populations owned by small, marginal and landless farm family strive upon these. The livestock sector achieved an average growth rate of 4.8 per cent during the Eleventh Five Year Plan (Economic Survey, 2012-13) and it contributed 3.6 percent of national GDP during the Eleventh Plan. In the same tune, the contribution from this sector is expected to improve because increasing purchasing power is favoring the proportion of protein from animal source in the human diets. Further, The Indian livestock sector is becoming more competitive participant in the world market. All this largely depends, however, on improvement and sufficiency in the production of feeds and forages. Notwithstanding the above, the grasslands and pastureland in the country are continuously shrinking. The paper addresses important issues limiting the development of new grasslands in semiarid Bundelkhand region of Uttar Pradesh particularly the Lalitpur district

Nutrient Intake and Utilization in Jalauni Lambs Fed \u3cem\u3e Azolla \u3c/em\u3e Meal Supplemented Diet

Azolla is an important aquatic fungi due to the occurrence of both photosynthesis and nitrogen fixation in the leaves and also because of its profuse growth habbit, it appears as a potential source of protein, minerals and vitamins for livestock feeding. Keeping in view of the increasing cost and heavy deficit of concentrate ingredients in the country, an attempt was made to replace mustard cake protein @ 25% and 50% levels with Azolla (Microphylla) meal protein in the ration of sheep to investigate the effect of supplementation of azolla meal on nutrient intake and utilization in growing Jalauni lambs fed green chaffed MP Chari based rations

A note on indigenous technical knowledge in Kinnaur and Lahaul-Spiti districts of Himachal Pradesh

520-531Over the years, Indian farmers have leveraged their ancestral know-how and experimented to cultivate different crops in difficult environmental conditions. Of late, however, traditional knowledge and practices have suffered massive erosion, mainly due to the impact of globalization and modernization. In this regard, the objective of the present paper was to document and validate the Indigenous Technical Knowledge (ITKs) in the tribal farming system in Himachal Pradesh. Kinnaur and Lahaul-Spiti districts of Himachal Pradesh were purposively selected for the study owing to their special status of Scheduled Tribal Area. Further, three villages from each district were selected randomly covering a sample of 120 farmers. In addition, 5 key informants experienced in particular ITKs were selected from each village for its validation through Quantification of Indigenous Knowledge (QuIK) methodology. The major documented ITKs were classified into appropriate categories such as soil and water management, cropping system, farm implements, post-harvest technology, storage, horticultural crops, food product development, agro-animal based yarns and leaves, medicinal, veterinary science, animal husbandry, and some myths. Further, Kothar, Graat, Suttar, tying of branches of trees, and chicha were revealed as the most useful ITKs in the tribal areas of Kinnaur. In Lahaul-Spiti, Khudh, Sumbhu, Sem, and shaving off of yak’s hair in summer were the most popular ITKs

Ergonomics assessment of drudgery in rice-wheat production system in India: a case study of women farmers

Farm women are often forced to work in extremely hazardous conditions due to their limited access to improved agricultural technologies. This circumstance makes agricultural work physically demanding, requiring significant physiological effort and the maintenance of good posture. It is also very exhausting, time-consuming, and stressful. The study was designed to evaluate and quantify the drudgery involved in the rice-wheat production system for rural women. Three replications of a 10-min work cycle without a break were used to assess the physiological and postural demands of various farm tasks on the female workers. Observations were recorded on farm women workers who were in normal health, without any major illness, and regularly involved in farm operations. In the attempt to obtain and analyze the prioritized drudgery experiences in crop production activities through drudgery assessment and reduction, various ergonomically sound farm tools and implements were provided for crop cultivation and intercultural operations. Data indicating musculoskeletal disorders were analyzed by ergonomics assessment of postural and biomechanical assessments using the Human Physical Drudgery Index (HPDI), resulting in the maximum drudgery reflecting very high risk in transplanting (48.4%), followed by threshing (47.2%), load carrying (46.00%), and harvesting (45.14%). For physiological ergonomics quantifications, the most drudgery-prone activities in the rice-wheat production system, i.e., transplanting, harvesting, threshing & post-harvest, and load carrying, were evaluated, and it was found that drudgery is caused by different activities with reflects working energy expenditure rate ranging from ~7.00 to 12.00 (kJ/min) and total cardiac cost of work (TCCW) ~ 331.00 to 524.00. Multivariate regression analysis was employed to drive relationships between energy expenditure rate (dependent variable) and other independent variables, such as age, body mass index (BMI), mid-upper arm circumference (MUAC), calf circumference (CC), skinfold measurements, body density (D), % body fat, fat mass, and fat-free mass (kg). It was found that energy expenditure rate during various crop production practices is positively correlated with independent variables (R = 0.721, R2 = 0.520, Adjusted R2 = 0.518, Standard Error of Estimate = 0.0324, Durbin-Watson = 1.531). It was found that with higher physiological parameters, the corresponding energy expenditure is maximized relating to the drudgery in respective agricultural activities. The present study addressed the magnitude of drudgery for women farmers in the rice-wheat production system and its mitigation strategy

Differential Occurrence of Cuticular Wax and Its Role in Leaf Physiological Mechanisms of Three Edible Aroids of Northeast India

The localization of cuticular wax (CW) on the leaf epidermis and its interaction with the physiological mechanisms of three edible aroids, Alocasia, Colocasia, and Xanthosoma, were assessed. CW in the leaf tissues was visualized using scanning electron microscopy, which was higher in Colocasia (10.61 mg·dm−2) and Xanthosoma (11.36 mg·dm−2) than in Alocasia (1.36 mg·dm−2). Colocasia CW exhibited superhydrophobic properties with a higher static contact angle (CA) (>150◦) than Xanthosoma (99.0◦) and Alocasia (128.7◦). The higher CW in Colocasia and Xanthosoma resulted in better leaf chlorophyll stability, moisture retention ability, and cellular membrane integrity compared to Alocasia. CW acted as a protecting barrier against deleterious solar radiation in terms of sun protection factor (SPF). The glossy appearance of wax crystals in the Alocasia leaf cuticles resulted in higher SPF. Overall, Colocasia CW highly influenced the qualitative and protective mechanisms of the leaf. Our study sheds light on the pivotal role of CW in the physiological properties of aroid leaves, which would be useful for the selection of wax-rich plants for augmenting future breeding strategies. The information would also be useful for further exploration of the industrial potential of superhydrophobic wax crystals obtained from edible aroids.Fil: Pieniazek, Facundo. Consejo Nacional de Investigaciones Científicas y Técnicas. Unidad de Investigación y Desarrollo Estratégico para la Defensa. Ministerio de Defensa. Unidad de Investigación y Desarrollo Estratégico para la Defensa; Argentina. ICAR Research Complex for North Eastern Hill Region; IndiaFil: Dasgupta, Madhumita. ICAR Research Complex for North Eastern Hill Region; IndiaFil: Messina, Valeria Marisa. Consejo Nacional de Investigaciones Científicas y Técnicas. Unidad de Investigación y Desarrollo Estratégico para la Defensa. Ministerio de Defensa. Unidad de Investigación y Desarrollo Estratégico para la Defensa; ArgentinaFil: Devi, Mayengbam Premi. ICAR Research Complex for North Eastern Hill Region; IndiaFil: Devi, Yumnam Indrani. ICAR Research Complex for North Eastern Hill Region; IndiaFil: Mohanty, Sansuta. ICAR-Indian Institute of Horticultural Research; IndiaFil: Singh, Satyapriya. ICAR-Indian Institute of Horticultural Research; IndiaFil: Sahoo, Bibhuti Bhusan. Odisha University of Agriculture and Technology; IndiaFil: Nongdam, Potshangbam. Manipur University; IndiaFil: Acharya, Gobinda Chandra. ICAR-Indian Institute of Horticultural Research; IndiaFil: Sahoo, Manas Ranjan. ICAR-Indian Institute of Horticultural Research; India. ICAR Research Complex for North Eastern Hill Region; Indi

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Not AvailableBiopesticides terminate the problems of pest resistance, environmental burden and ensure the safety of human beings. Although the overriding challenges associated with biopesticides are fulfilling market expectations of the industry, this greener tool is now struggling for its establishment in pesticide market. The technological adaptability among farmers is still far behind regarding the uses of biopesticides especially cost-effective microbiological pesticide. Besides these constraints, long-term sustainability is the major breakthrough which needs to be considered. Off late the ongoing efforts from the government side towards adaptation will certainly show the light of better way of manufacturing in near future.Not Availabl