Standard Meter Research Articles

Maximum heart rate prediction equations based on field-tests with adequate clinical applicability for aerobic exercise prescription to individuals after stroke

Objectives 1) to develop two maximum heart rate (HRmax) prediction equations for individuals after stroke; 2) to investigate its validity. Methods The HRmax was obtained by a Cardiopulmonary Exercise Test (CPET). Participants also completed the Six-minute Walking Test (6MWT) and the Incremental Shuttle Walking Test (ISWT). Results 60 individuals (54(12) years; 64(69) months after stroke) were included. Twenty individuals (58(10) years; 67(61) months after stroke) were included in the cross-validation group. For the first model, the following equation was generated (equation-1): HRmax= 87.655 + 0.726 (HRpeak in the 6MWT) − 0.386 (age in years), (R2=0.53; Standard Error of the Estimate (SEE)= 15.35; p < 0.0001). For the second model, the following equation was generated (equation-2): HRmax= 96.523 + 0.681 (HRpeak in the ISWT) − 0.039 (walking distance in meters in the ISWT) − 0.400 (age in years), (R2=0.53; SEE = 15.51; p < 0.0001). Significant and high magnitude agreement was found between the HRmax obtained by the CPET and the predicted HRmax by equation-1 (ICC= 0.85; 95% CI= 0.63 − 0.94) and equation-2 (ICC= 0.72; 95% CI= 0.29 − 0.89). Conclusions Two HRmax prediction equations have been developed and showed adequate validity. Professionals will have the option of choosing one of the two equations to use.

Luminance-based methodology for assessment of low level haze in glazing

AbstractVisual defects, in particular haze, in glass and façade technologies can significantly impact the aesthetic quality and human experience of daylight and views in buildings. The glass and façade industry increasingly requires methods that can objectively predict and measure the subjective user experience of haze. This is required to appropriately inform the manufacturing process, ensuring optimal functionality and performance, and avoiding material waste and economic losses due to the replacement of defective glazing. Existing methods for measuring haze are not appropriate for assessing large samples, either at manufacturing sites or in-situ. However, haze defects are often only exhibited and visible when glazing is produced in large samples or installed under real luminous conditions. This paper introduces a novel luminance-based method that measures haze by evaluating the halo around a light source that is observed through the glazing. This method is initially tested in a controlled laboratory setting on small glazing samples with varying level of haze. The halo serves as a proxy for haze severity and it is quantified by using luminance-based measurements. In this work, the newly-proposed method is verified by comparing the ranking in haze severity of different samples as performed by means of a standard haze meter and the newly proposed method. Additionally, the paper examines the dependence of this ranking on factors such as camera setup distance and light intensity. It was found that the proposed method was able to effectively ranks samples differing in haze intensity by more than 0.1 orders of magnitude. Positioning the camera closer to the glazing and using higher light intensity yielded more accurate results. However, for haze levels below 1% and differences smaller than 0.1 orders of magnitude, the accuracy is insufficient. To define the expected level of accuracy of methods for haze characterisation in-situ, the sensitivity of the human eye to haze under varying luminous environments and view content needs to be quantified.

Monitoring and measuring noise pollution in urban environments (Case study: Khorramabad city)

Introduction: Environmental noise, caused by traffic, leads to increased risk of health problems. Nowadays, noise pollution is one of the most important problems in the communities which adversely affects the health. The aim of this study was to assess the noise pollution in Khorramabad city. Materials and methods: To measure the noise level in the city, 39 stations near to sensitive places such as hospitals, educational centers, and so on were selected. Measurements were performed, for 30 min, in the mornings (7-10 AM) and evenings (5-8 PM) using a standard sound level meter. The measurements were made on working days during the week and assuming the traffic load was the same. Results: The sound level in all 39 considered stations was higher than the standard of residential-commercial in more than 90% of the stations compared to the environmental standard. The mean of sound measured in the monitored stations was equal to 68.28±2.6 dB. The maximum measured sound level belonged to station S2. In station S2, the maximum measured sound was reported as 81.72±11.3 dB. The findings showed that sound level in the evenings were slightly higher than the mornings. Also, in the evening, the highest and lowest measured sound values belonged to stations S1 and S20. The amount of measured sound level at stations S1 and S20 was equal to 80.9 and 39.7 dB, respectively. Based on findings, the highest and lowest sound recorded belonged to stations S39 and S20 which area type of stations S20 and S39 was commercial and residential, respectively. Conclusion: This study showed that the average level of sound pressure was higher than the permissible limit, so the necessity of planning is suggested to reduce the level of noise pollution and consequently reduce the anxiety level of citizens and increase health.

Endoscopic and microsurgical decompression for central lumbar spinal stenosis

Objective. To perform comparative analysis of the results of endoscopic and microsurgical decompression for lumbar spinal stenosis.Material and Methods. Design: Retrospective monocentric intra-cohort comparison of two groups of patients. The study included 99 patients aged 51–88 years with clinically significant lumbar spinal stenosis manifested by neurogenic intermittent claudication syndrome. Endoscopic decompression was performed in 51 patients, and microsurgical decompression – in 48 patients. To objectify and standardize clinical symptoms, walking distance in meters, pain syndrome and quality of life were assessed before and after surgery using standard scales and questionnaires (VAS, ODI). On the first day after surgery, back and lower limb pain were assessed, and during the observation period back and lower limb pain, quality of life and walking distance were assessed. Functional lumbar radiography was performed to exclude instability of the spinal motion segment. Using MRI, the cross-sectional area of the dural sac at the level of stenosis was measured before and after surgery. Clinical efficacy was assessed using the MCID (Minimal Clinical Important Difference) criterion. The results of the operation were followed-up for 12 months after the operation.Results. Blood loss in the endoscopic intervention group was less than in the microsurgical group. Pain in the lumbar spine and in the lower extremities decreased, and the cross-sectional area of the dural sac increased. In the first days after surgery, patients after endoscopic decompression had less severe back and lower extremity pain than patients after microsurgical decompression due to less soft tissue trauma. Pain syndrome in back 10–12 months after surgery was without statistically significant difference between the groups. Patients after endoscopic decompression had statistically significantly better quality of life according to ODI, lesser pain in the lower extremities according to VAS and longer walking distance than those in the microsurgical decompression group. Surgical treatment in both groups turned out to be effective, which is confirmed by MCID. The time of endoscopic intervention is significantly longer than that of microsurgical intervention. The length of the incision during endoscopic decompression is shorter than that of microsurgical decompression.Conclusion. A comparative analysis of the results of endoscopic and microsurgical decompression for degenerative central lumbar stenosis showed comparable effectiveness of both methods, including an increase in the spinal canal dimension and ensuring regression of clinical symptoms. The results of the comparison do not allow making a sufficiently substantiated judgment on the advantages of one of the methods, which dictates the need for further research.

Use of the ECG-Controlled Six-Minute Walk Test to Assess Exercise Capacity: a Comparative Cohort Study

INTRODUCTION. In clinical practice, stress tests are carried out to draw up an individual patient rehabilitation plan, assess tolerance and optimize the load, and evaluate its clinical effectiveness. The Six-minute walk test (6MWT), in the presence of contraindications to the bicycle ergometer test or the impossibility of performing it, is a tool for assessing the response of the cardiovascular and respiratory systems to the load being performed. There is no description in the literature of the relationship between the distance traveled during 6MWT and the peak metabolic equivalent (MET) assessed during the bicycle ergometer test. AIM. Study the relationship between 6MWT indicators and the results of bicycle ergometer test in patients who have suffered a myocardial infarction. MATERIALS AND METHODS. During the examination, 56 patients underwent a symptom limited bicycle ergometer test and 6MWT, the peak MET and the distance traveled during 6MWT, as well as changes in the ECG during both tests were assessed. RESULTS AND DISCUSSION. The average values of maximum heart rate during the bicycle ergometer test and ECG-controlled 6MWT did not differ significantly. The distance in meters during 6MWT and the power of the exercise performed during bicycle ergometer test in MET have a significant relationship, which indicates the comparability of the data from these tests as a criterion of exercise tolerance. CONCLUSION. The use of 6MWT and bicycle ergometer test allows us to assess various aspects of cardiorespiratory function and physical fitness in patients undergoing a cardiac rehabilitation program. Further study of the possibility of using ECG-controlled 6MWT in the early stages of rehabilitation is necessary to create the most effective and safe physical training for patients who have suffered a myocardial infarction.

Associations between dual-task walking and cognitive impairment in people attending a cognitive diagnostic clinic.

Dual-task walking performance is an early marker of dementia. However, there is uncertainty about which measure of the dual-task test is a better marker. The objective of this study was to determine which dual-task measure best differentiates between normal cognition, mild cognitive impairment (MCI) and dementia. Participants (n = 116) were aged ≥60 years attending a cognitive clinic in Melbourne, Australia. Single- and dual-task gait speed were obtained using a 16 metre distance and stopwatch. The cognitive task involved reciting alternate letters of the alphabet sitting and walking. Dual-task interference in gait and cognition was calculated as: single-task-dual-task/single task × 100 and summed to obtain total interference. Multiple linear regression was used to determine differences in single and dual-task measures between those with no cognitive impairment (n = 11), MCI (n = 54) and dementia (n = 51). The mean age of the sample was 76.9 (SD 6.4) years and 48.3% (n = 56) were female. Compared to those with dementia: (a) those with MCI had a higher dual-task letter rate and lower cognitive and total interference (all indicate better performance) (p < .05) and (b) those with no cognitive impairment had a higher single- and dual-task letter rate (both indicate better performance) (p < .05). There were no differences between those with no cognitive impairment and those with MCI (all p > .05). In a cognitive clinic, measurement during dual-task walking differentiated those with dementia from those with MCI or no cognitive impairment. However, differences appear to be driven by performance on the cognitive, rather than the gait task.

Enhanced Hydrolysis of Carbonyl Sulfide in Coking Oven Gas Utilizing an Efficient Ca-Ba-γ-Al2O3 Catalyst

China possesses a substantial capacity for coke production, resulting in the annual generation of over 100 billion standard cubic meters of the by-product coke oven gas. The comprehensive utilization of this gas has emerged as a matter of significant concern within the coking industry. The removal of carbonyl sulfide (COS) from coke oven gas is crucial for enhancing gas quality, mitigating equipment corrosion, minimizing environmental pollution, elevating the quality of recovered products, and fostering the production of high-quality steel. A novel Ca-Ba-γ-Al2O3 catalyst has been devised, employing γ-Al2O3 as the catalyst matrix and integrating calcium hydroxide (Ca(OH)2) alongside barium hydroxide octahydrate (Ba(OH)2·8H2O) as the alkaline activating components. The impact of various factors, including reaction temperature, humidity, and the number of activating components loaded, on the hydrolysis efficiency of COS has been meticulously investigated. Furthermore, the catalytic reaction mechanism has been elucidated utilizing advanced characterization techniques such as X-ray diffraction (XRD) and Brunauer–Emmett–Teller (BET) analysis. The outcomes of this research reveal that, under optimal conditions of a reaction temperature of 55 °C and a humidity of 56%, the Ca-Ba-γ-Al2O3 catalyst achieves a remarkable COS hydrolysis efficiency of 95.22%.

Phylogenetic structure and turnover between lowland and montane subtropical forests indicate differential community assembly processes, affected by successional stage and spatial gradients

Secondary forests represent an increasing proportion of global forest cover and offer a range of ecosystem services that are integral to environmental policy targets. Highly disturbed landscapes with temporal records of forest plant community composition offer key insights into the processes that shape plant communities as forests undergo secondary succession. We investigated patterns of plant community phylogenetic structure and phylogenetic beta diversity. Mean pairwise distance (MPD) and Mean Nearest Taxon Distance (MNTD) metrics were determined between co-occurring species within plant communities, in addition to phylogenetic beta diversity metrics relative to null models of random phylogenetic assembly. MPD and MNTD were compared between elevational and successional classes and modelled as products of intercommunity distance (metres) and forest community age (years). Phylogenetic nonmetric multidimensional scaling explored phylogenetic community structure between lowland and montane forest type in Hong Kong. We found that plant communities in secondary forests in Hong Kong exhibited patterns of increased basal phylogenetic clustering with increasing community elevation, while phylogenetic turnover was influenced by spatial and successional factors in lowland and montane forest. Our findings indicate differential community assembly in lowland compared to montane forest type in Hong Kong, as well as evidence for barriers to plant dispersal in secondary forest communities due to patterns of spatial phylogenetic clustering. Plant communities in montane forests were found to be phylogenetically distinct from lowland forest plant communities. Patterns of spatial phylogenetic clustering may suggest significant dispersal or post-dispersal processes causing the clustering of related species at fine spatial scales, while phylogenetic turnover with increasing successional age may indicate compositional changes during the process of passive forest regeneration. Collectively, these results emphasize the need to investigate active pathways for rewilding dispersal limited late successional forest tree species in Hong Kong.

A 3D-Printable smartphone accessory for plant leaf chlorophyll measurement

Plant health and nutrition are universally inferred from leaf chlorophyll content. This research developed a 3D-printed accessory which attaches to the ambient light sensor in a smartphone to estimate leaf chlorophyll content in five tropical plant species. It unveils 3D printing files and assembling details to freely built the accessory anywhere. It is made from a 3D-printed body, a lighting circuit and common spare parts to measure a 663 nm LED band transmission through intact plant leaves. This chlorophyll absorbing light band allows to measure its concentration. The device was tested by comparing its readings to the universal spectrophotometric test or by leaf parallel measurements with a standard SPAD 502™ meter, and it performed as well as these universal standard methods. Due to well-studied relationships between chlorophyll concentration and nutritional status of plants, and the ubiquitous presence of other sensors in smartphones today, the independent improvement and adoption of this smartphone-connected system would ease the spread of precision farming and digital agronomy practices throughout the different scales of agriculture.

Travel-associated carbon emissions of patients receiving cancer treatment from an urban safety net hospital

BackgroundHealthcare transportation, particularly the transportation of patients to access healthcare services, is a significant source of carbon emissions. This study aims to estimate the carbon emissions of patient transportation among patients receiving cancer care at an urban community safety net hospital. Materials and MethodsWe conducted a retrospective study of patients seen at the oncology clinic of an urban community safety net hospital between 1 July 2022 and 30 June 2023. Patients with at least one in-person visit in 1 year, documented home addresses, and oncologic diagnoses were included in the study. The distance between each patient's home address and the hospital was calculated using the Google Map API key and a macro to calculate distance in metres. The total estimated carbon emissions were calculated using the EPA equivalencies calculator. The primary outcome was carbon emissions from patients' round-trip travel from home to hospital. ResultsFrom 1 July 2022 to 30 June 2023, 13,970 visits were made to the oncology clinic. Of these, 8,235 visits made by 1,080 patients met the criteria for inclusion in the final analysis. Of the 8,235 visits recorded, 5,095 (61.8%) were follow-up/laboratory visits. The 1,080 patients who attended the clinic had a mean age of 63.8 years; 700 (64.8%) were male, and 525 (48.6%) were Black or African-American. Breast cancer was the most common diagnosis, accounting for 423 (39.2%) of cancer diagnoses. Each patient travelled 4.8 (0.3–149.3) miles for a one-way trip and 9.6 (0.7–298.6) miles for a round trip to receive cancer care. Approximately 1,520 (280–119,440) g carbon were emitted per patient visit. A total of 79,582 round-trip miles was calculated for the 8,235 visits made by all patients within 1 year, which corresponds to 31,832 kg CO2 emissions equivalent to 35,658 pounds of coal burned, 1,462 propane cylinders used for a home, or 3,872,250 smartphones charged. ConclusionTravel to receive cancer care is associated with significant carbon emissions and poses a climate and public health risk. Efforts to decrease the overall carbon footprint of cancer treatment are needed to minimise the contributions of cancer treatment to climate change.

Reproducibility and Repeatability of US Shear-Wave and Transient Elastography in Nonalcoholic Fatty Liver Disease.

Background US shear-wave elastography (SWE) and vibration-controlled transient elastography (VCTE) enable assessment of liver stiffness, an indicator of fibrosis severity. However, limited reproducibility data restrict their use in clinical trials. Purpose To estimate SWE and VCTE measurement variability in nonalcoholic fatty liver disease (NAFLD) within and across systems to support clinical trial diagnostic enrichment and clinical interpretation of longitudinal liver stiffness. Materials and Methods This prospective, observational, cross-sectional study (March 2021 to November 2021) enrolled adults with NAFLD, stratified according to the Fibrosis-4 (FIB-4) index (≤1.3, >1.3 and <2.67, ≥2.67), at two sites to assess SWE with five US systems and VCTE with one system. Each participant underwent 12 elastography examinations over two separate days within 1 week, with each day's examinations conducted by a different operator. VCTE and SWE measurements were reported in units of meters per second. The primary end point was the different-day, different-operator reproducibility coefficient (RDCDDDO) pooled across systems for SWE and individually for VCTE. Secondary end points included system-specific RDCDDDO, same-day, same-operator repeatability coefficient (RCSDSO), and between-system same-day, same-operator reproducibility coefficient. The planned sample provided 80% power to detect a pooled RDCDDDO of less than 35%, the prespecified performance threshold. Results A total of 40 participants (mean age, 60 years ± 10 [SD]; 24 women) with low (n = 17), intermediate (n = 15), and high (n = 8) FIB-4 scores were enrolled. RDCDDDO was 30.7% (95% upper bound, 34.4%) for SWE and 35.6% (95% upper bound, 43.9%) for VCTE. SWE system-specific RDCDDDO varied from 24.2% to 34.3%. The RCSDSO was 21.0% for SWE (range, 13.9%-35.0%) and 19.6% for VCTE. The SWE between-system same-day, same-operator reproducibility coefficient was 52.7%. Conclusion SWE met the prespecified threshold, RDCDDDO less than 35%, with VCTE having a higher RDCDDDO. SWE variability was higher between different systems. These estimates advance liver US-based noninvasive test qualification by (a) defining expected variability, (b) establishing that serial examination variability is lower when performed with the same system, and (c) informing clinical trial design. ClinicalTrials.gov Identifier NCT04828551 © RSNA, 2024 Supplemental material is available for this article.

The Combined Effects of Endurance and Strength Training on Exercise Tolerance and Quality of Life in Patients with COPD

Chronic Obstructive Pulmonary Disease (COPD) significantly impairs exercise tolerance and quality of life due to respiratory and systemic effects. Exercise training, including endurance and strength modalities, is a cornerstone of pulmonary rehabilitation, yet the combined effects of these training methods remain underexplored. This study aimed to evaluate the combined effects of endurance and strength training on exercise tolerance and quality of life in COPD patients. A randomized controlled trial was conducted involving 100 COPD patients assigned to four groups: Endurance Training, Strength Training, Combined Training, and Control. The interventions were implemented over 12 weeks, with outcomes assessed pre- and post-intervention, including the six-minute walk test (6MWT) for exercise tolerance and the St. George’s Respiratory Questionnaire (SGRQ) for quality of life. Statistical analyses included ANOVA and post-hoc comparisons to determine group differences. The Combined Training group demonstrated the most significant improvement in exercise tolerance, with a mean increase of 72.4 meters in 6MWT distance, compared to 48.7 meters in the Endurance group and 34.2 meters in the Strength group. Quality of life, measured by SGRQ, improved significantly across all intervention groups, with the greatest reduction in total SGRQ scores observed in the Combined Training group (12.6 points), indicating enhanced physical and psychological well-being. Additional improvements in muscle strength and endurance capacity were also most pronounced in the Combined Training group. Combined endurance and strength training provide superior benefits in enhancing exercise tolerance, muscle strength, and quality of life in COPD patients compared to either modality alone. These findings support the integration of multimodal exercise regimens in pulmonary rehabilitation programs to optimize outcomes for COPD patients.

Beta diversity subcomponents of plant species turnover and nestedness reveal drivers of community assembly in a regenerating subtropical forest.

Secondary forests represent a significant proportion of global forest cover, with over 70% of forests in East Asia classified as regenerating. While succession has been studied extensively in temperate systems, trajectories of subtropical succession remain poorly characterized in highly disturbed, urban-adjacent forests. Investigating the additive beta diversity components of turnover and nestedness may reveal community assembly mechanisms driving secondary succession. The present study investigates plant community assembly along a successional gradient from 7 to 70 years following the onset of succession in secondary subtropical forests in Hong Kong, China. Plant survey data for 28 plots were analysed, generating additive Simpsons turnover and nestedness beta diversity metrics. Dissimilarity matrices were generated and modelled as a function of environmental matrices including forest plant community age (years following onset of secondary succession), inter-community distance (metres), and soil moisture saturation (%) across three elevational bands using generalized dissimilarity models. Nonmetric multidimensional scaling of plant communities was conducted with Bray-Curtis dissimilarity matrices. Inter-community distance and successional age differentially influenced plant species turnover between lowland and Montane forest types. Models of nestedness found that plot age and soil moisture saturation were significant drivers of nestedness patterns in plant communities across elevational classes. Turnover represented a higher proportion of Sorensen beta diversity than nestedness, while ANOSIM found significant differentiation between plant communities at different successional stages. Turnover patterns suggest a deterministic model of community assembly, with strong patterns of species replacement between communities at fine spatial scales and successional stages, as well as clear compositional shifts between lowland and montane forest types. NMDS analysis and functional compositional assessments suggested a transition from early successional communities with a high proportion of shrub species, to later successional communities with a higher proportion of tree species, with an increase in species turnover with greater age dissimilarity.

Life Cycle Assessment of Natural Gas Production in Java Sea-East Java Province, Indonesia

Energy products including natural gas play a very important role in the context of global economic, industrial, and infrastructure development. However, it is undeniable that the production process from raw material extraction to ready-to-use products has an impact on the environment. This study was conducted to evaluate the environmental impact of natural gas production in the Kepodang field, East Java Province, Indonesia. The next objective is to analyze the magnitude and significance of the impact or hotspot analysis. The characterization results for 4 main categories show: Global Warming Potential 70.02 kg CO₂ eq, Ozone Layer Depletion 1.11E-06 kg CFC-11 eq, Acidification Potential 0.65 mol H+ eq, Marine Eutrophication 0.30 kg N eq, and Freshwater Eutrophication 2.17E-03kg P eq. The results also show that throughout the life cycle of this product, the largest contributor to environmental impacts is in the downstream phase, especially the user gas metering unit process. This is due to the 200 km of pipelines for product transportation from the Central Processing Platform (CPP) to the user gate. Pipeline parameters (Ecoinvent database) refer to long-distance pipelines with high capacity. In addition, hotspots were also identified in the core phase: gas measurement and chromatography, gas turbine generators, and flare gas.

Increasing the accuracy of electrical energy accounting at reduced load

The object of research is a three-phase electricity metering unit, which includes a digital meter and measuring current transformers. The reduction of non-technological energy losses is restrained due to the insufficient accuracy of the accounting of electric energy in distribution power networks under a reduced load current of the metering unit. The possibility of representing the dependence of the relative error of electricity measurement on current values by a fuzzy function at reduced load has been confirmed. The boundaries of such a function are approximated with sufficient accuracy by the sum of two exponents, which is explained by its significant nonlinearity in the range of reduced current. The proposed EMRL software allows to estimate the real consumption and the most possible level of underaccounting based on the array of electricity meter readings. The accuracy of estimating by the EMRL the amount of electricity consumed with a probability of 0.7 can be estimated with a relative error not exceeding 2 %. The probability of psychophysical assessments of the accuracy of EMRL «very good» and «good» is at least 0.833. The trend of a significant decrease in the relative value of underaccounting with an increase in the level of electricity consumption was revealed. With a daily consumption of up to 10 kW·h, the amount of underaccounting can reach 18 %, and with a consumption of more than 20 kW·h, it does not exceed 6 %. The adequacy of the results of estimating the amount of consumed electricity at reduced load using the EMRL was confirmed by experimental data at a significance level of 0.05. The software capabilities allow to increase the accuracy of the accounting of electrical energy in distribution networks with a reduced load current of the metering unit. The program can be used as part of automated systems of commercial electricity metering or advanced metering infrastructure to determine the most possible underaccounting due to the operation of metering units at a reduced load

Mathematical Modelling and Optimization of Seed Metering Unit Performance in Precision Peanut Seeding

The objective of this study was to determine, develop mathematical models, and optimize the in-row seed distribution uniformity performance of a vacuum-type seed metering unit in peanut seeding under different operating conditions. The greased belt stand trials based on the Central Composite Design (CCD) were. Quality of feed index, multiple index, miss index, precision, and coefficient of precision were examined as dependent variables, while the peripheral speed of the seed plate, hole diameter of the seed plate, and vacuum pressure were selected as independent variables. Based on the analysis of experimental data from five different levels of each independent variable, performed using the CCD, a meaningful mathematical model was developed in cubic form for the quality of feed index for peanut seeding, and the model was optimized. The ideal conditions were determined from the model as 0.079 ms−1, 6.94 mm, and 7.07 kPa for peripheral speed of the seed plate, hole diameter, and vacuum pressure, respectively. Based on the findings, quality in seeding by selecting the parameters that affect the performance of precision peanut seeding can be enhanced, resulting in valuable information that can be used as a useful guide to farmers, machine manufacturers, and researchers.

Cascade Proportional-Integral Control Design and Affordable Instrumentation System for Enhanced Performance of Electrolytic Dry Cells.

In this paper, we present a cost-effective system for monitoring and controlling alkaline electrolyzers, intending to improve hydrogen gas production on a laboratory scale. Our work includes two main innovations. Firstly, we suggest an approach to calibrate a standard air flow meter to accurately measure the flow of hydrogen-rich gas from electrolyzers, improving measurement accuracy while keeping costs low. Secondly, we introduce a unique cascade control method to manage hydrogen-rich gas production in the electrolyzer, ensuring precise control over gas flow rates. By combining affordable, energy-efficient devices with a PI control system, we achieve efficient gas production through electrolysis, replacing manual control approaches. Experimental results confirm the effectiveness of our cascade control method, demonstrating stable operation with minimal errors. These results provide a foundation for further research into control strategies to enhance the performance of electrolytic cells.

Physical interpretation of entropy, Boltzmann constant, and temperature

Through the previously reported the quantum-identity, the light-model, and the T(temperature)·\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\cdot$$\\end{document}S(entropy) energy, the implied meaning of temperature and entropy, respectively, which it was difficult to intuitively recognize, was clearly defined. In order to minimize possible errors at this time, the interrelationship of the SI base unit, which is the smallest unit, and the T(temperature)·\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\cdot$$\\end{document}S(entropy) unit integration was used. In the process of converting to Planck units, each unit (criterion) for entropy and temperature was calculated, and their physical and chemical meanings were compared and reinterpreted. Thus, the unit of entropy is related to the Boltzmann constant, and the temperature is the oscillation of pure mass units. Therefore, the intuitive recognition of physical and chemical factors based on the unit of meter(m)-time(s) is considered sufficient as an initiator to move closer to new science beyond the current limited application.

Antenna Integration for Millimeter-Wave RF Sensing and Millimeter-Wave Communication Mountable on a Platform.

An array antenna for millimeter-wave communication and an array antenna for millimeter-wave sensing are designed and put together into one structure. Because millimeter-wave signals become weaker fast with the increasing distance and any kind of error in the required functions of the antenna has to be minimized, pointing error from the target direction should be prevented. The device is a millimeter-wave sensing antenna with high directivity to check the straight link between the TX and RX sides of wireless communication. A 24 GHz 8-by-16 array antenna which generates stronger signals for sensing resolves the drawback of a 28 GHz 1-by-4 array antenna that is commonly seen in 5G wireless terminals. The sensing and communication antennas are integrated as a planar structure mountable on platforms, which is investigated with regard to forming wireless links over a distance of several meters with an input power of less than 0 dBm. Additionally, in the event of a reflecting surface disturbing the straight path and worsening the pointing error in RF signal transfer, the dual-capability of the combination is presented on the basis of intuitive electromagnetic experiments.

Optimization of operating parameters of a drum-type feed metering unit developed for a human-powered floating fish feeder

Feed wastage is one of the major concerns in aquaculture practice. A simple and unique floating fish feeder with drum-type metering mechanism was developed, which addresses this concern. A drum-type metering mechanism is an easy, effective, low cost metering method with low energy requirement. Optimizing the feed rate for any metering systems is a necessary pre-requisite to ensure proper feeding. In this study, the operating parameters of the drum-type feed metering unit have been optimized to achieve the desired feed rate. The influence of three independent parameters (number of metering holes, shaft speed and drum fill level) on the dependent parameter (feed rate) was studied and optimized using response surface methodology. A multilevel full factorial design approach has been adopted for the experimental design. The effect of variation in operating parameters was investigated experimentally and a response surface model was developed from experimental data. The fit of the model was expressed by an R2 value of 0.879. The optimal solutions obtained from the model with high desirability values were further used for validation experiments in aquaculture pond and found to be acceptable. It was observed that low shaft speeds and drum fill levels led to better feeding. The best settings recommended for the feeder operation were 24 metering holes, 31 % drum fill level and 30 rpm shaft speed. The feeder was found to improve feed application and reduce feed wastage. This kind of low-cost feeding systems is expected to encourage adoption of mechanized feeding among small and marginal farmers.