Real-world observational study to capture demographic details of newly diagnosed type 2 diabetes mellitus

Background: To understand the demographic profile of newly diagnosed type 2 diabetes mellitus (T2DM) patients and to evaluate the glycaemic status and initial treatment choices in this subset of T2DM patients.Methods: The ROD-IT-2 study was a real-world, retrospective, cross-sectional, observational study conducted at various centres across India between April 2021 and March 2022. The study outcomes included epidemiology, comorbidities, and management strategies preferred by Indian clinicians in these patients.Results: Data from 29,550 newly diagnosed T2DM patients were analyzed. The mean age of patients was 53.3 years, and majority were males (65%). Majority of patients (63.85%) were aged 40 to 60 years. More than half (53.11%) of the patients were either overweight (36.65%) or obese (16.76%). The mean glycated hemoglobin (HbA1c) was high (8.4%). Most (88.5%) patients had cardio-renal comorbidities. Hypertension was the most common comorbidity (45.7%) followed by dyslipidemia (32.1%). Chronic kidney disease (CKD) was also present in 31.2% patients. In the present study, 9.2% patients presented with microvascular complications at the time of diagnosis. Majority of newly diagnosed patients (79.7%) were treated with combination therapy. In patients who were prescribed dual drug combination therapy, metformin + dipeptidyl peptidase-4 inhibitor (DPP4i) was the preferred combination (42.71%)  followed by metformin + sulfonylurea (31.37%).Conclusions: ROD-IT-2 study showed that mean HbA1c levels in T2DM patients still remain high in our population and cardio-renal comorbidities remain prevalent in newly diagnosed patients. Indian clinicians were found to prefer the combination therapy in newly diagnosed T2DM patients

Safety evaluation of directly observed treatment short course (DOTS) regimen in a tertiary care hospital, Pune

Background: Directly observed treatment short course (DOTS) is a cornerstone of Revised National Tuberculosis Control Program of India. Adverse drug reactions (ADRs) induced by this therapy is common and it causes significant morbidity and mortality. Hence, the present study was undertaken to determine the incidence and pattern of ADRs and to assess causality and severity.Methods: We conducted prospective, observational study at DOTS center of tertiary care hospital, Pune. 150 pulmonary tuberculosis patients undergoing DOTS therapy were enrolled. They were monitored weekly in an intensive phase and monthly in the continuation phase. The suspected ADRs were recorded and assessed for causality and severity by standard algorithms.Results: Incidence of ADRs due to DOTS was 19.33% & total 35 ADRs had occurred in our study. Gastrointestinal intolerance, arthralgia & itching with or without rashes were most common ADRs (incidence rates: 12.67%, 2.67% and 2.67%, respectively). On evaluation of causality by Naranjo algorithm, majority of ADRs 91.43% were “possible.” As per WHO- Uppsala Monitoring Center scale, majority of ADRs 91.43% were “possible.” As per Modified Hartwig and Siegel scale, majority of ADRs were “moderate” (48.57%) but 8.57% were “severe.” Female gender was found to be a significant risk factor for developing ADRs (odds ratio: 3.08, 95% confidence interval: 1.33-7.12. 3.33%). ADRs & hepatotoxicity was major reason for defaulting from DOTS (60%).Conclusion: ADRs induced by DOTS are common and there is need of incorporating pharmacovigilance system for this vital public health program. Counseling of patients for timely prevention, detection, and management of ADRs will help in minimizing the further occurrence of ADRs

Determination of Forming Limits in Sheet Metal Forming Using Deep Learning

The forming limit curve (FLC) is used to model the onset of sheet metal instability during forming processes e.g., in the area of finite element analysis, and is usually determined by evaluation of strain distributions, derived with optical measurement systems during Nakajima tests. Current methods comprise of the standardized DIN EN ISO 12004-2 or time-dependent approaches that heuristically limit the evaluation area to a fraction of the available information and show weaknesses in the context of brittle materials without a pronounced necking phase. To address these limitations, supervised and unsupervised pattern recognition methods were introduced recently. However, these approaches are still dependent on prior knowledge, time, and localization information. This study overcomes these limitations by adopting a Siamese convolutional neural network (CNN), as a feature extractor. Suitable features are automatically learned using the extreme cases of the homogeneous and inhomogeneous forming phase in a supervised setup. Using robust Student’s t mixture models, the learned features are clustered into three distributions in an unsupervised manner that cover the complete forming process. Due to the location and time independency of the method, the knowledge learned from formed specimen up until fracture can be transferred on to other forming processes that were prematurely stopped and assessed using metallographic examinations, enabling probabilistic cluster membership assignments for each frame of the forming sequence. The generalization of the method to unseen materials is evaluated in multiple experiments, and additionally tested on an aluminum alloy AA5182, which is characterized by Portevin-LE Chatlier effects

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Not AvailableVertisols constitute one of the unique soil orders, with distinct characteristics including self-mulching, swelling and shrinking, cracking, and pothole formation; and excessive surface runoff and soil erosion during high rainfall. Cracks are among distinct features and are used as defining criteria of Vertisols in Soil Taxonomy. The process of cracking is a significant researchable issue in soil science with regards to the occurrence, formation, management, and modeling. Management of Vertisols is a challenging task because of specific physical constraints such as narrow workable range of soil moisture, peculiar consistency of sticky when wet and very hard when dry, and cracking. The cracking pattern is affected by a variety of factors including clay content, soil moisture, tillage practices, cropping system, and land use. In addition, cracking is also affected by type and amount of clay and the moisture regime. Cracks can have both positive and negative influence on the soil–plant system. Soil cracks provide a passage for quick water entry into the deeper layer of soil profile in the rainy season, in turn reducing risks of soil erosion and enhancing the soil moisture reserves. On the other hand, slumping surface soils through cracks results in formation of potholes which exacerbate risks of ground water pollution. Cracks can aggravate losses by evaporation of irrigation- or rain water from the greater evaporating surface area during the postirrigation/rainy season. Increase in evaporative loss has implications to scheduling of irrigation and the quantity of water application. Cracks are also important to the movement of water down the soil profile following the prolonged/extended dry season, but are also a cause of extrawater losses through evaporation from the cracks’ surfaces. Despite their significance, scientific and practical knowledge about crack management in Vertisols is scanty. Cracking patterns in soil can be modified by tillage practices, organic amendments, and crop residue management. Therefore, suitable land management practices include measures for conserving the ground water such as permanent broad bed and furrow, and ridge-furrow systems used in conjunction with the application of organic manures and amendments and conservation tillage system. Such measures can decrease the formation of wide cracks, reduce loss of water through evaporation in semiarid environment, and improve soil health. This chapter describes occurrence, formation, characterization, and management of cracks and potholes for sustaining soil health and enhancing crop productivity on Vertisols.Not Availabl

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Not AvailableWastes generated from municipal and agricultural activities have the tremendous potential for application in agriculture as a source of nutrients and as amendments to improve soil organic matter (SOM). A decline in SOM can represent a serious threat to soil fertility and quality. Nitrogen (N) mineralization from organic amendments is important for understanding the N dynamics in terrestrial ecosystems. In this review, quality of the amendments such as C/N ration, N content, and biochemical compositions, etc. are discussed. Since, C/N ratio cannot explain all differences in N mineralization; emphasis has been laid on characterizing different compounds in organic amendments that govern the mineralization process. The importance of simulation models has also been described in modeling N mineralization from some complex materials like compost, animal manures and farmyard manures. These complex simulation models once modified according to the quality of the organic amendments can simulate N mineralization and thus, they can be used for simulating N dynamics in terrestrial eco-systems.Not Availabl

How important is the quality of organic amendments in relation to mineral N availability in soils?

Not AvailableWastes generated from municipal and agricultural activities have the tremendous potential for application in agriculture as a source of nutrients and as amendments to improve soil organic matter (SOM). A decline in SOM can represent a serious threat to soil fertility and quality. Nitrogen (N) mineralization from organic amendments is important for understanding the N dynamics in terrestrial ecosystems. In this review, quality of the amendments such as C/N ration, N content, and biochemical compositions, etc. are discussed. Since, C/N ratio cannot explain all differences in N mineralization; emphasis has been laid on characterizing different compounds in organic amendments that govern the mineralization process. The importance of simulation models has also been described in modeling N mineralization from some complex materials like compost, animal manures and farmyard manures. These complex simulation models once modified according to the quality of the organic amendments can simulate N mineralization and thus, they can be used for simulating N dynamics in terrestrial eco-systems.Not Availabl

Soil Constraints in an Arid Environment—Challenges, Prospects, and Implications

Climate models project that many terrestrial ecosystems will become drier over the course of this century, leading to a drastic increase in the global extent of arid soils. In order to decrease the effects of climate change on global food security, it is crucial to understand the arid environment and the constraints associated with arid soils. Although the effects of aridity on aboveground organisms have been studied extensively, our understanding of how it affects soil processes and nutrient cycling is lacking. One of the primary agricultural constraints, particularly in arid locations, is water scarcity, due to which arid soils are characterized by sparse vegetation cover, low soil organic carbon, poor soil structure, reduced soil biodiversity, and a high rate of soil erosion via wind. Increased aridity will limit the availability of essential plant nutrients and crop growth, and subsequently pose serious threats to key ecological processes and services. The increasing rate of soil salinization is another major environmental hazard that further limits the agricultural potential of arid soils. These soil constraints can be ameliorated and the crop yields increased through case-specific optimization of irrigation and drainage management, enhancing the native beneficial soil microbes, and combinations of soil amendments, conditioners, and residue management. This review explores technologies to ameliorate soil constraints and increase yields to maintain crop output in arid soils

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Not AvailableA series of long-term simulations were carried out to investigate alternative management practices to increase grain yields of soybean and wheat by optimizing sowing dates, nitrogen (N) and water requirements, along with complimenting farmyard manure (FYM) as a N source in the soybean–wheat cropping system of Madhya Pradesh. The APSIM simulation study showed that the mean soybean yield ranged from 1.0 to 1.6 t ha-1 for the different dates of sowing. The average wheat grain yield was 3.2–3.9 t ha-1, whereas, the crop sown on 15 November gave the highest yield. In this region, there is a potential to increase soybean and wheat yields by 0.6 and 2.2 t ha-1, respectively. Among the various irrigation practices simulated, five irrigations of 60 mm at 20 days interval was the best option for wheat. Application of 16 t FYM ha-1 to soybean produced 50 % higher wheat yield than the same amount of FYM applied to wheat. The wheat yield obtained from inorganic application of N was at par with that obtained from the application of integrated and organic sources. However, the amount of N loss from the integrated use of fertilizer N was lower than that from the current recommended practice for the region. Application of FYM alone or in combination with inorganic fertilizer maintained higher soil organic carbon concentration as compared to the application of inorganic fertilizer alone. Thus, the model provided a mean of evaluating alternative crop N and water management options for effectively managing the soybean–wheat cropping system.Not Availabl

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Not AvailableA series of long-term simulations were carried out to investigate alternative management practices to increase grain yields of soybean and wheat by optimizing sowing dates, nitrogen (N) and water requirements, along with complimenting farmyard manure (FYM) as a N source in the soybean–wheat cropping system of Madhya Pradesh. The APSIM simulation study showed that the mean soybean yield ranged from 1.0 to 1.6 t ha−1 for the different dates of sowing. The average wheat grain yield was 3.2–3.9 t ha−1, whereas, the crop sown on 15 November gave the highest yield. In this region, there is a potential to increase soybean and wheat yields by 0.6 and 2.2 t ha−1, respectively. Among the various irrigation practices simulated, five irrigations of 60 mm at 20 days interval was the best option for wheat. Application of 16 t FYM ha−1 to soybean produced 50 % higher wheat yield than the same amount of FYM applied to wheat. The wheat yield obtained from inorganic application of N was at par with that obtained from the application of integrated and organic sources. However, the amount of N loss from the integrated use of fertilizer N was lower than that from the current recommended practice for the region. Application of FYM alone or in combination with inorganic fertilizer maintained higher soil organic carbon concentration as compared to the application of inorganic fertilizer alone. Thus, the model provided a mean of evaluating alternative crop N and water management options for effectively managing the soybean–wheat cropping system.Not Availabl

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Not AvailableFeeding the increasing global population, which is projected to increase between 8.9 and 10.6 billion by 2050, there has been increasing demands for more improved/sustainable agricultural management practices that can be followed by farmers to improve productivity and maintain environmental sustainability without jeopardizing the ecosystem. About 95% of our food directly or indirectly comes from soil. It is a precious resource, and sustainable soil management is a critical socio-economic and environmental issue. South Asia (SA) has been experiencing high economic growth but still suffering from extreme rate of poverty, hunger, and deterioration of natural resources including soil. In this region, the presence of a large rainfed area with its associated challenges urgently calls for cost-effective resource conservation technologies such as conservation agriculture (CA). The Indo-Gangetic Plains (IGP) of SA region is one of the hotspots for the adoption of no-till farming/CA. Although conventional tillage (CT)-based farming offers some important short-term benefits, long-term adoption of these practices may lead to the loss of soil organic carbon/fertility, poor soil health, and soil degradation. Conservation agriculture (CA) is being practiced globally approximately in 180 M ha of land, whereas in south Asia it remains less than 5 Mha. Thus, CA is one of the major sustainable soil/agricultural management systems that can meet the needs of farmers as well as offer numerous benefits to farmers as well as ecosystem services. CA is a multi dimensional approach that is studied not only for its positive environmental and ecological impacts but also as an alternative to reduce crop residue burning. In this chapter, issues, challenges, benefits, and future perspectives of CA have been discussed.Not Availabl