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This study uses a self-supervised learning technique based on auto encoders to find anomalous nodes. Only temporal variables have been taken into account and researched so far for use in identifying anomalies in wireless sensor networks (WSNs). This method fully utilises the geographic and temporal information of the WSN for anomaly identification by incorporating the extraction of geographic location features, intermodal WSN correlation features, and temporal WSN data flow characteristics into the design of the autoencoder. First, by focusing on a single mode from a local spatial perspective, a fully connected network is used to temporal nodes. Second, the spatial and temporal characteristics of the data flows of the nodes and their neighbours are retrieved by concentrating on a specific mode and seeing the WSN topology from a global spatial perspective for anomaly identification. The adaptive fusion method's weighted summation step is then used to extract the relevant features from the various models. An LSTM is used in this study to solve the problem of long-term dependence in the temporal dimension. The decoder's reconstructed output and the hidden layer representation of the are used to calculate the anomaly probability of the current system utilising a fully linked network.

In this present research paper analysis of the performance of tractor-operated sugarcane leaf stripper is performed. India is the second-largest producer of sugarcane and Sugarcane is the most prominent cash crop. The sugarcane harvesting process is labour intensive and takes around 850-1000 working man-hours per hectare when sugarcane is harvested manually and de-trashing alone takes 400 man-hours in manual harvesting procedures for removal of tops. Mechanized leaf stripper is developed and fabricated to prevent labour and accident and the performance of the machine is evaluated on MCO-238, K-269 and R-94184 variety of sugarcane. The data regarding de-topping time and stripping rate are taken and the effect of parameters namely Length of, Girth and number of Buds of the stalk are evaluated. The machine was operated at a roller speed of rpm. The results showed that length and number of buds affect the stripping time significantly and the length of stalk and girth of the stalk has a significant impact on the stripping rate. For stripping rate the most dominant and significant factor was the length of the stalk: MOC-238 has 62.35% contribution, K-269 has 78.10% contribution and a case of R-94184 has 60.72% contribution. The second significant factors were girth with the contribution of 33.30%, 20.53% and 36.44% contribution in MCO-238, K-269 and R-94184 varieties respectively. The factor, number of buds remained insignificant.

Background: India is the second largest producer of sugarcane in the world. Uttar Pradesh, Maharashtra, Punjab and Bihar are Indian states have maximum production of sugarcane. During 2019, approximately 307 lakh tonnes of sugarcane was produced in India, which is nearly 11.8 per cent of the global sugarcane production. Sugarcane crop has very long leaves. Stripping of sugarcane leaves is a major problem, which requires labor-intensive effort. Therefore, to resolve this problem, a tractor operated sugarcane stripper machine was designed using the computer aided design (CAD) software. Methods: In main frame of CAD design, a power transmission system, transportation system, feed hopper conveyer, sugarcane de-topper and a stripper system were designed. This machine will reduce human drudgery. Currently, this sugarcane stripper machine is getting very good acceptance nationwide. Further research has been undertaken at Department of Farm Machinery and Power Engineering, Sam Higginbottom University of Agriculture Technology and Sciences, Prayagraj, Uttar Pradesh, India. This machine was designed. Result: Use of this machine will also help in reducing the cost and time of operation. In future, this machine will help in improving quality of stripping as well as ensuring effective utilization of the resources. The Design and development of sugarcane leaf stripper machine will play a significant role.

India is the second largest producer of sugarcane in the world. During 2018-19, Uttar Pradesh, Maharashtra, Punjab, and Bihar are Indian states that have produced maximum quantities of sugarcane. In 2019, approximately 307 lakh tonnes of sugarcane were produced in India, which is nearly 11.8 percent of the global sugarcane production. Sugarcane crop has very long leaves. Stripping of sugarcane leaves is a major problem, which requireslabor-intensive effort. Therefore, to resolve this problem, a tractor-operated sugarcane stripper machine was designed using the Computer-Aided Design (CAD) software. In the mainframe of CAD design, a power transmission system, transportation system, feed hopper conveyor, sugarcane de-topper, and a stripper system were designed. This machine will reduce human drudgery. Currently, this sugarcane stripper machine is getting very good acceptance nationwide. Further research has been undertaken at the Department of Farm Machinery and Power Engineering, Sam Higgin bottom University of Agriculture Technology and Sciences, Prayagraj, Uttar Pradesh India. This machine was designed. The use of this machine will also help in reducing the cost and time of operation. In the future, this machine will help in improving the quality of stripping as well as ensuring effective utilization of the resources. The Design and development of the sugarcane leaf stripper machine will play a significant role. &nbsp

Dopamine (DA) is a monoamine neurotransmitter responsible for the maintenance of a variety of vital life functions. In vivo DA signaling occurs over multiple time scales, from subsecond phasic release due to dopamine neuron firing to tonic release responsible for long-term DA concentration changes over minutes to hours. Due to the complex, multifaceted nature of DA signaling, analytical sensing technology must be capable of recording DA from multiple locations and over multiple time scales. Decades of research has focused on improving in vivo detection capabilities for subsecond phasic DA, but the accurate detection of absolute resting DA levels in real time has proven challenging. We have developed a poly(3,4-ethylenedioxythiophene) (PEDOT)-based nanocomposite coating that exhibits excellent DA sensing capabilities for resting DA. PEDOT/functionalized carbon nanotube (PEDOT/CNT)-coated carbon fiber microelectrodes (CFEs) are capable of directly measuring resting DA using square wave voltammetry (SWV) with high sensitivity and selectivity. Incorporation of a PEDOT/CNT coating significantly increases the sensitivity for the detection of resting DA by a factor of 422. SWV measurements performed at PEDOT/CNT-functionalized CFEs implanted in the rat dorsal striatum reveal the absolute basal DA concentration to be 82 ± 6 nM. Systemic administration of the dopamine transporter inhibitor nomifensine increases resting DA to a maximum 207 ± 16 nM at 28 ± 2 min following injection. PEDOT/CNT was also functionalized onto individual gold electrode sites along silicon microelectrode arrays (MEAs) to produce a multisite DA sensing electrode. MEA implantation allows for the quantification of basal DA from different brain regions with excellent spatial resolution. SWV detection paired with PEDOT/CNT functionalization is highly adaptable and shows great promise for tonic DA detection with high spatial and temporal resolution.

The present study was conducted for probability analysis of 17 th years (1994-2010) with the prime objective for prediction of annual maximum rainfall of one to five consecutive months Sultanpur region. The maximum rainfall values were estimated by proposed prediction models viz., Gumbel, Log Pearson Type III and Log Normal. The predicted values were compared with observed values and correlation between the predicted and observed values was also established. Rainfall data had been in the above distributions and their corresponding rainfall events were estimated at 5.5, 11.5, 6.6, 33.3 and 50 per cent probabilities level. The goodness of fit models was tested by chi-square. The comparison between the measured and predicted maximum value of rainfall clearly shows that the developed model can be efficiently used for the prediction of rainfall. The statistical comparison by chi-square test for goodness of fit clearly indicates that the Gumbel distribution was found to be best model for predicting two, three, four and five consecutive months annual maximum rainfalls (mm) while Log Pearson types III are fairly close to observed for one and four consecutive months annual maximum rainfall (mm). Rainfall prediction by Log Normal distribution shows very close relation to the observed rainfall for one consecutive months annual maximum rainfall (mm).

A pedal-operated cleaner-cum-grader having common bicycle chain-sprocket mechanism to get the speeds of 240 and 720 rpm of eccentric shaft and blower shaft, respectively for the desired cleaning/grading of grains was developed earlier by CIAE, Bhopal. Also, in order to utilize the human energy in more efficient way through pedalling mode, CIAE has recently developed a dynapod. The dynapod is a pedal operated rotary device, which can be used as an interface between human worker and any rotary-type machine. The developed dynapod was used to operate the cleaner-cum-grader to assess the drudgery reduction in its operation in comparison to original pedalling mechanism. The dynapod was interfaced with the cleaner-cum-grader by carrying out minor modifications in the original unit. Eight male agricultural workers with mean stature and weight as 168.4 cm and 54.4 kg, respectively participated in the study. The cleaner-cum-grader was used for cleaning and grading of soybean grains. Heart rate of the workers was measured during operation of cleaner-cum-grader using the dynapod as well as the original pedalling mechanism. Mean working heart rate during operation of machine with original pedalling mechanism was 114 beats min-1 as against 108 beats min-1 in case of pedalling with dynapod. The work pulse (ÄHR) with the original pedalling mechanism was 35 beats min-1 as against 29 beats min-1 during pedalling with dynapod. The output capacity of the machine increased from 303 kg h-1 in case of original pedalling mechanism to 345 kg h-1 with dynapod. Considering the cardiac cost as well as output of the machine, the drudgery reduction by using dynapod with cleaner-cum-grader was about 25.4% as compared to the original pedalling mechanism.

Identification of a suitable cultivation method with low energy use, GWP and high productivity is the need of the hour. A 16-year old field study in the Indo-Gangetic Plains (IGP) with different methods of rice cultivation viz., zero tillage (ZT), happy turbo seeder (HTS), bed planting (BP), reduced tillage (RT), conventional sowing (CS), direct sowing (DS), broadcast method of sowing (BS), manual transplanting (HT) and selected transplanting methods like, manual transplanter (MT) and mechanical transplanter (MaT) was used to evaluate the energy input and GWP. HT method of rice cultivation recorded higher energy use than ZT, HTS, BP, RT, CS, DS and BS methods, respectively. Whereas HTS method recorded highest net grain energy (NEg) and this was followed by ZT and MaT, The PTR method recorded 61–66% higher GWP compared with direct sown unpuddled method of rice cultivation. Among direct sown unpuddled methods of rice cultivation, HTS, BP, RT and ZT had lower GWP than farmers' practice. MaT recorded higher carbon output than ZT, HTS, BP, RT, CS, DS and BS methods. The study indicated that direct seeded method of rice cultivation is energy efficient with lower GWP and thus may be recommended.

Purpose To understand what clinical presenting features of sepsis patients are historically associated with rapid treatment involving antibiotics and fluids, as appropriate. Design This was a retrospective, observational cohort study using a machine-learning model with an embedded feature selection mechanism (gradient boosting machine). Methods For adult patients (age ≥ 18 years) who were admitted through Emergency Department (ED) meeting clinical criteria of severe sepsis from 11/2007 to 05/2018 at an urban tertiary academic medical center, we developed gradient boosting models (GBMs) using a total of 760 original and derived variables, including demographic variables, laboratory values, vital signs, infection diagnosis present on admission, and historical comorbidities. We identified the most impactful factors having strong association with rapid treatment, and further applied the Shapley Additive exPlanation (SHAP) values to examine the marginal effects for each factor. Results For the subgroups with or without fluid bolus treatment component, the models achieved high accuracy of area-under-receiver-operating-curve of 0.91 [95% CI, 0.86–0.95] and 0.84 [95% CI, 0.81–0.86], and sensitivity of 0.81[95% CI, 0.72–0.87] and 0.91 [95% CI, 0.81–0.97], respectively. We identified the 20 most impactful factors associated with rapid treatment for each subgroup. In the non-hypotensive subgroup, initial physiological values were the most impactful to the model, while in the fluid bolus subgroup, value minima and maxima tended to be the most impactful. Conclusion These machine learning methods identified factors associated with rapid treatment of severe sepsis patients from a large volume of high-dimensional clinical data. The results provide insight into differences in the rapid provision of treatment among patients with sepsis.

In light of recent focus on the behaviour of the natural structures for revolutionary technological growth, spider web seems to have seized considerable attention of product designer due to its amazing behaviour. In present work, mechanism behind the structural integrity of the spider web along with the materialistic analysis of its constituent silk threads has been extensively investigated. The nanoindentation tool both in static and dynamic mode has been utilized for complete analysis of the mechanical behaviour of the spiral and radial threads separately. Both the average elastic modulus and hardness of the radial silk thread is higher than the spiral silk thread which reveals the radial silk thread is the major structural component of the web. The sustainability of spider webs under storm, windy conditions and during the impact of pray has been investigated under dynamic conditions. The radial silk thread exhibits elastic like response and the spiral silk thread exhibits viscous like response in a wide frequency range (1–200 Hz). The damping characteristic of the radial and spiral silk threads, an important parameter to investigate the energy dissipation properties of the materials has also been investigated in windy conditions.

A comprehensive 2-D-LC-MS method has been developed by coupling columns of different selectivity. The primary column eluate is alternately trapped and sampled onto the secondary columns through a guard column interface. When one guard column traps the eluate, the other injects the previously trapped components onto a secondary column. This cycle is repeated throughout the chromatogram. The use of dual secondary columns provides the secondary columns with additional time to generate high-speed chromatograms. Each secondary column generates alternate chromatograms which when combined generate the entire chromatogram. The primary column separation is comparable to conventional HPLC, whereas the secondary column separation is fast. With both the columns operating in reverse phase mode, one would expect strong correlation in the two-dimensional retention and hence inefficiency in separation. However, differences in column operation modes, interaction mechanisms, and vendor silica result in a complementary separation. The system was evaluated by comparing it to one-dimensional counterparts and coupled column chromatography. Although some correlations were observed in 2-D-LC-MS, peaks do show two-dimensional distribution with superior UV and MS data as co-elution is minimized. Also, the ease of converting conventional systems to 2-D-LC-MS is discussed.

Background The majority of stroke patients are discharged home dependent on informal caregivers, usually family members, to provide assistance with activities of daily living (ADL), including bathing, dressing and toileting. Many caregivers feel unprepared for this role and this may have a detrimental effect on both the patient and caregiver. Objective To evaluate whether or not a structured, competency-based training programme for caregivers [the London Stroke Carer Training Course (LSCTC)] improved physical and psychological outcomes for patients and their caregivers after disabling stroke, and to determine if such a training programme is cost-effective. Design A pragmatic, multicentre, cluster randomised controlled trial. Setting Stratified randomisation of 36 stroke rehabilitation units (SRUs) to the intervention or control group by geographical region and quality of care. Participants A total of 930 stroke patient and caregiver dyads were recruited. Patients were eligible if they had a confirmed diagnosis of stroke, were medically stable, were likely to return home with residual disability at the time of discharge and had a caregiver available, willing and able to provide support after discharge. The caregiver was defined as the main person – other than health, social or voluntary care provider – helping with ADL and/or advocating on behalf of the patient. Intervention The intervention (the LSCTC) comprised a number of caregiver training sessions and competency assessment delivered by SRU staff while the patient was in the SRU and one recommended follow-up session after discharge. The control group continued to provide usual care according to national guidelines. Recruitment was completed by independent researchers and participants were unaware of the SRUs' allocation. Main outcome measures The primary outcomes were self-reported extended ADL for the patient and caregiver burden measured at 6 months after recruitment. Secondary outcomes included quality of life, mood and cost-effectiveness, with final follow-up at 12 months. Results No differences in primary outcomes were found between the groups at 6 months. Adjusted mean differences were –0.2 points [95% confidence interval (CI) –3.0 to 2.5 points; p = 0.866; intracluster correlation coefficient (ICC) = 0.027] for the patient Nottingham Extended Activities of Daily Living score and 0.5 points (95% CI –1.7 to 2.7 points; p = 0.660; ICC = 0.013) for the Caregiver Burden Scale. Furthermore, no differences were detected in any of the secondary outcomes. Intervention compliance varied across the units. Half of the participating centres had a compliance rating of > 60%. Analysis showed no evidence of higher levels of patient independence or lower levels of caregiver burden in the SRUs with better levels of intervention compliance. The economic evaluation suggests that from a patient and caregiver perspective, health and social care costs, societal costs and outcomes are similar for the intervention and control groups at 6 months, 12 months and over 1 year. Conclusions We have conducted a robust multicentre, cluster randomised trial, demonstrating for the first time that this methodology is feasible in stroke rehabilitation research. There was no difference between the LSCTC and usual care with respect to improving stroke patients' recovery, reducing caregivers' burden, or improving other physical and psychological outcomes, nor was it cost-effective compared with usual care. Compliance with the intervention varied, but analysis indicated that a dose effect was unlikely. It is possible that the immediate post-stroke period may not be the ideal time for the delivery of structured training. The intervention approach might be more relevant if delivered after discharge by community-based teams. Trial registration Current Controlled Trials ISRCTN49208824. Funding This project was funded by the MRC and is managed by the NIHR (project number 09/800/10) on behalf of the MRC–NIHR partnership, and will be published in full in Health Technology Assessment; Vol. 17, No. 46. See the NIHR Journals Library website for further project information.