Successful Results Research Articles

Determination of performance characteristics of spacer fabric vehicle covers

AbstractHailstorms today have the potential to damage almost every object in their path. Efforts are been made to prevent hailstorms, which can be quite severe. However, a completely successful result has not been achieved. Automobiles are the ones most damaged by hailstorms. In order to protect automobiles from this damage, various protective fabrics have been studied on and patents have been obtained. Spacer fabrics are one of the materials that have the potential to be used as protectors. In this study, an experimental device that can test the performance of spacer fabrics against hail and simulate hail damage has been designed and manufactured. At the same time, suggestions for the preparation of artificial hail grains that can be used in different studies are presented. With 25 mm and 30 mm diameter artificial hail grains, experiments were carried out on spacer fabrics of different thicknesses with the same weave structure. The same diameters of artificial hail grains were also tested without covering and the amount of damage in all experiments was measured. As a result, it was compared which fabric provided how much protection against artificial hailstones of different diameters.

Electronic Detection of Pesticide Residue on Cherry Fruits

Agriculture is one of the most basic needs that is of vital importance for the human generation to be sustained. In agriculture, pesticides are an indispensable need both to increase productivity and to prevent crop losses. Some of these drugs are pesticides that protect the plant from harmful insects, fungi and rodents, while others are herbicides that protect it from weeds. However, if these chemicals penetrate into people as much as they ensure food safety, they can be harmful with various diseases in the long term. After these pesticides are applied to agricultural products, they decrease to safe levels after 3-10 days depending on the type and dosage of the drug. Long-term exposure to these chemicals can cause a number of health problems such as cancer, hormonal disorders, neurological diseases and immune system weakness. In this study, it was investigated whether the collected cherry and the pesticide-free cherry could be separated by smell after the pesticide was applied to it without passing the mentioned time. Cherries were collected from cherry trees that had never been sprayed, and then pesticide was sprayed on these trees, and cherries that were sprayed with pesticide were collected a day later. An electronic nose consisting of 11 very affordable gas sensors has been made for the study. One hundred pieces of odours were taken by the electronic nose, including different amounts of cherries with and without pesticides. Various attributes of these data have been extracted. Among the four different classification algorithms, the Extra Trees Classifier has given the most successful results with 94.30% classification accuracy, 93.00% sensitivity and 95.60% specificity classification success. The ability to detect the pesticides on the fruit with an electronic device is important for the monitoring of human health through food inspections.

Regional power duration curve model for ungauged intermittent river basins

ABSTRACT Hydropower is a sustainable and renewable energy source that can serve as a practical and economically viable solution to the future possible energy crisis and climate change scenarios. Moreover, it possesses a higher energy density compared to other alternative renewable energy sources such as solar, wind energy, etc. In order to determine the potential of hydropower, long-term observed hydrometeorological data of streamflow, precipitation, etc. are crucial. This study investigates a new power duration curve (PDC) methodology. Basin characteristics such as drainage area and basin relief with meteorological data as precipitation are used for regional models in the application. The classification based on geographical locations is made for regional models. Six models based on equation type were utilized to determine the optimal regional model. Absolute errors of cease-to-flow point estimates ranging from 0.01 to 11.49% were observed. The model provided successful results according to Nash–Sutcliffe efficiency which is widely used in hydrological studies very close to 1 and higher than 0.87 except for one streamflow gauging station therewithal all other calculated performance metrics. It is observed that power and cease-to-flow point estimates of intermittent rivers can be obtained with a new PDC model based on basin characteristics.

Integration of medical knowledge into psycho-pedagogical practice

The method of the research was to identify promising trends in the use of medical knowledge in pedagogical and psychological activity in the context of emotional, physical and spiritual well-being of modern society. In the research, a SWOT-analysis was carried out, which identifies the main risks, opportunities, weaknesses, and strengths of integrating medical knowledge in psycho-pedagogical practice. Medical knowledge and its application to human personality through the activity of pedagogues and psychologists. The interpretation of the concepts of “medical psychology”, “medical pedagogy”, “integration” and their peculiarities in the modern world is described. Examples of the application of medical knowledge in psycho-pedagogical practice and their application are given. It is understood that the psychological-pedagogical represents a mutually interconnected system that combines theoretical and practical components with the disclosure of the essence of medical knowledge and the development of specific situations. The main functions, possibilities, and risks of pedagogical and psychological activity in the implementation of this process on the basis of modern and innovative technologies. Theoretical experience in the development of medical knowledge in psycho-pedagogical activity of such foreign countries as the United States, Great Britain, Germany, Italy, and the East of Korea). The following advantages of its application are identified: a great improvement of motivation for learning, formation of clinical thinking, skills and competences in education teachers, excellent learning of the required material, professional skills and competences, achievement of successful results in the formation of personal qualities of the student. In accordance with this, the consequences are the creation of a basis for the development of creative individuals, their training with the assimilation of medical knowledge to professional activity in the future and the understanding of the need for quality education throughout life. The conclusions provide information about the changes in the conditions of existence of the society, which were the result of mental, emotional, informational and ecological influence. The practical significance of the work is to improve the physical and mental health of children and adults, as well as to improve their educational and career success

Interval operative management in patients admitted with acute obstruction due to incarcerated paraesophageal hernia.

Acute incarcerated paraesophageal hernias (PEH) have historically been considered a surgical emergency. Emergent operations have a higher rate of morbidity and mortality compared to elective surgery. Our institution has adopted a strategy of initial conservative management in patients presenting with acute obstruction from an incarcerated PEH who are clinically stable. Patients are given at least 24h for their symptoms to improve (selective nasogastric decompression). If symptoms resolve, contrast on an upper GI study passes to the small bowel, and liquids are tolerated, patients are discharged with planned interval repair. We sought to characterize the outcomes of this interval surgical strategy for incarcerated PEH. A retrospective chart review was performed to identify patients admitted to a single institution between October 2019 and September 2023 with an incarcerated PEH. Patients taken directly to surgery within 24h were excluded. A total of 45 patients admitted with obstruction from an incarcerated PEH were identified. Ten patients (22%) were taken urgently to surgery due to clinical instability and were excluded. Of the remaining 35 patients, 23 (66%) resolved their obstruction with conservative non-operative management and were offered planned interval PEH repair (successful conservative management). In the successful conservative management cohort, there was one unplanned readmission before interval PEH repair. Average time between discharge and repair was 25days. Complication rates did not differ in those who failed and in those who had a successful conservative management result. The cumulative length of stay for those who succeeded in conservative management (including days for the interval surgery) was equivalent with those who underwent PEH repair during the index admission. A trial of conservative management in clinically stable patients with symptomatic incarcerated PEH appears to be safe and often avoids emergent repair without increasing perioperative complications or total days in the hospital.

THE EFFECT OF SOCIO-EMOTIONAL LEARNING ON THE DEVELOPMENT OF EMOTIONAL INTELLIGENCE

Socio-emotional learning has become one of the most important areas of research in the theory and practice of psychological science. Although not much time has passed since the formation of socio-emotional learning, a lot of experience has been collected in the fields of theoretical and applied research, and it is known that socio-emotional learning has a direct impact on the development of emotional intelligence. Studies prove that regardless of IQ level, students face serious failures in the future because they do not have enough time to develop emotional intelligence. The most favorable project supporting the development of emotional intelligence is socio-emotional learning. Unfortunately, since socio-emotional learning is still emerging, there is no rich literature on it. However, the demand for the development of emotional intelligence and the support of socio-emotional learning in the education policy of many countries led to conducting extensive research on this project and achieving successful results. The work carried out by psychologists shows that there is great potential to make work more active in the country. In particular, we are talking about the activities of pre-school educational institutions, secondary schools and higher educational institutions.

Golden harvest: Nitrogen’s impact on maize carotenoids

Highly weathered tropical soils are deficient in nitrogen (N), phosphorus (P), and potassium (K), impacting maize yield and nutritional quality. The influence of soil N and P on maize carotenoid content remains poorly characterized, hindering nutritional advancements. This study examined how varying N fertilizer rates (0, 60, and 120 kg N/ha) affect provitamin A (proVA) carotenoid accumulation in different maize genotypes. proVA carotenoid components analyzed were alpha-carotene (αC), beta-carotene (βC), and beta-cryptoxanthin (βCr). The study also estimated proVA content among maize genotypes. The increasing N rates from 0 to 120 kg N/ha significantly (P < 0.05) enhanced proVA carotenoid content, as higher proVA content observed in higher N rates i.e., in 120 kg N/ha compared to low N rates (60 kg N/ha and 0 kg N/ha). The βC mean concentration ranged 0.42 to 13.08 µg/g, 0.56–11.17 µg/g and 0.38–11.99 µg/g for 120 kg N/ha, 60 kg N/ha, and 0 kg N/ha, respectively. While βCr concentration ranged 2.35 to 4.49 µg/g for 0 kg N/ha, 2.37–4.34 µg/g for 60 kg N/ha, and 2.35–4.69 µg/g for 120 kg N/ha. Whereas for αC content in studied maize genotypes ranged 0.38 to 13.08 µg/g and the highest value observed on high fertilizer rate (120 kg N/ha) where low content determined on low N rates (0 and 60 kg N/ha). The proVA ranged from 1.93 to 16.7 µg/g, the level of proVA in studied maize genotypes increased with increase in fertilizer rates. For instance, for 0 kg N/ha, proVA ranged from 2.03 to 12.3 µg/g), 60 kg N/ha (2.11–14.1 µg/g) and for 120 kg N/ha (1.99–16.7 µg/g). Genotype EE20 performed better in all the carotenoid components treated with 120 kg N/ha and the T4 had poor performance under no fertilizer plots. Indicating that N had a significant influence on proVA accumulation in maize kernels. The highest provitamin A concentration (16.7 µg/g) was observed on 120 kg N/ha, followed by 14.1 µg/g reported on 60 kg N/ha, and the lowest (12.3 µg/g) was observed on 0 kg N/ha. Thus, for enhancing carotenoid content in maize, N fertilization is crucial. This suggest that in low-N soils, biofortification of provA carotenoids efforts may not bring successful results.

Short‐term multivariate airworthiness forecasting based on decomposition and deep prediction models

AbstractThis study introduces a model for predicting airworthiness in terms of meteorology information within the viewpoint of not only formal regulations but also informal rules based on acquired indicators from flight training organization experience (AIs‐FTOE). The case study is carried out in the Hasan Polatkan Airport which is used by the Department of Flight Training of Eskişehir Technical University (ESTU‐P), which is also recognized as a flight training organization. Within the study, the constraints (derived from regulations and AIs‐FTOE) and the data set used in models are explained. Also, the models are introduced based on the gated recurrent unit (GRU) and long short‐term memory (LSTM) with the use of empirical mode decomposition (EMD) and variational mode decomposition (VMD). Finally, a model‐selective mechanism (MSM) is proposed to use the models in common. The findings show that the models presented in the study produce successful results that can be used in flight training organization's (FTO) planning studies. The MSM uses GRU and LSTM together with decomposition techniques to provide more advanced prediction capabilities. When the literature is examined, it is observed that although meteorological conditions are of vital importance in the efficiency of FTOs, there are not enough studies on airworthiness based on meteorology. So, a model that will assist in scheduling plans is presented for FTOs. Airworthiness analysis of forecasting can provide a comprehensive reference to support planning efficiency in FTOs. To the authors' knowledge, this study will be the first in the literature on airworthiness that presents the MSM using a hybrid deep learning algorithm and decomposition of time series models in concurrent.

Generalized denoising network LGCT-Net for various types of ESPI wrapped phase patterns

In this paper, we propose a generalized network based on our proposed Local-Global Channel Transformer (LGCT) module for denoising various types of ESPI wrapped phase patterns (including low-density, medium-density, high-density, variable-density, and discontinuous phase patterns). The Conv + BN + ReLU layer consists of convolution (Conv), batch normalization (BN), and the rectified linear unit (Relu) in series. The generalized network LGCT-Net interleaves four LGCT modules with five Conv + BN + ReLU layers in a dense connection manner. We propose the LGCT Module by stacking three Dilated-Group Convolution blocks (DGC block), a Contextual Transformer block (CoT block), and an Efficient Channel Attention block (ECA block). The LGCT module simultaneously leverages the local context extraction capability of convolutions and the powerful global information extraction capability of a transformer. Additionally, it performs feature extraction in both spatial and channel dimensions. We also create a diverse ESPI wrapped phase pattern denoising dataset with various densities, shapes, noise levels, and discontinuity. We successfully train the LGCT-Net without any preprocessing or postprocessing steps. We evaluate the performance of our method on simulated and experimental ESPI wrapped phase patterns with discontinuity and different densities. Then we compare it with previously published denoising methods PEARLS, HDCNN, ADCNN, and DBDNet quantitatively and qualitatively. The results show that our method facilitates the reduction of speckle noise and the enhancement of fine details while preserving structure and shape, outperforming the compared methods. In the end, we apply our method to dynamic measurements of nuclear graphite ESPI phase patterns at different times. And then performing phase unwrapping on the filtered phase patterns, we achieve successful results.

Early detection of the ovarian cancer with a label-free and disposable ITO-PET based immunosensor platform

Alpha fetoprotein (AFP), a popular biomarker for ovarian cancer, was the target of this studyto create an immunosensor based on electrochemical impedance spectroscopy (EIS). For this purpose, a disposable Indium tin oxide coated PET (In2O3/SnO2, ITO-PET) electrode was used as a basic electrode for working of the triple electrode system and the electrodes were modified with 3-(Trimethoxy silyl) propyl methacrylate (3- TMSPM) silanization agent. Although there are studies on the determination of AFP, the determination of AFP with a cheap, flexible and sensitive electrode system such as ITO-PET in this study makes the study remarkable. With the designed biosensors, AFP protein determination at a wide concentration range (0.05 pg/mL-100 pg/mL) could be successfully performed. To prove that the designed immunosensor was constructed correctly, linear range, repeatability, reproducibility and regeneration capacity (characterization studies) were investigated. Obtaining successful results in the storage capacity studies of the biosensor, which has high reproducibility and repeatability, showed that it also has potential for commercial use. The high specificity of the biosensor also proves its reliability. Finally, the performance of the biosensor in commercial human serum samples was also evaluated.

Validation of stone-kidney size score to predict outcome and complications of pediatric percutaneous nephrolithotomy

The prevelance of urinary system stone disease in children is emphasizing the need for minimally invasive treatments to decrease morbidity and recurrence risk. Percutaneous nephrolithotomy (PCNL) has emerged as a preferred approach for pediatric patients with complex stones due to its minimally invasive nature, including miniaturized and vacuum-assisted access sheaths, advanced laser technology and tubeless and outpatient procedures. However, adult scoring systems have proven ineffective in predicting success and complications in pediatric PCNL. This highlights the need for specialized scoring systems, such as the Stone-Kidney Size (SKS) scoring system, tailored to pediatric patients and will be evaluated in our study for its association with the stone-free rate (SFR) and complications. The data of 144 patients aged <17 years who had undergone PCNL between January 2008 and December 2019 were evaluated retrospectively. Demographics, stone characteristics, perioperative/postoperative outcomes were recorded for each patient. The SKS scoring system comprises the stone kidney index (SKI) and the number of stones, assigns one or two points based on single or multiple stones and an SKI value of <0.3 or ≥0.3, respectively. The SKI is computed by dividing the stone's longest axis by the kidney's longest axis. Residual stones less than 4mm on non-contrast computed tomography are considered clinically insignificant residual fragments (CIRFs). Stone-free and CIRF patients were considered successful results. The relationship between the SKS scoring system and SFR, success, and complication rates after surgery was investigated. Statistical analyses were conducted using SPSS 22.0 software. The SFR was 67.36% and 74.31% when CIRF patients were included, respectively, with a complication rate of 27%. In multivariate analysis, stone treatment history, stone burden, and SKS score were statistically significantly associated with SFR (p<0.001, p=0.032, p<0.001, respectively). Furthermore, the SKS score was the only variable that showed a statistically significant relationship with success. No significant association was found between SKS score and complications (p=0.342). Our study demonstrates a relationship between the SKS scoring system and SFR in pediatric PCNL patients. However, shortcomings have been observed in its capacity to accurately predict post-PCNL complications. Despite being a retrospective analysis and having a single-center design, our study externally validates the relationship between the SKS scoring system and SFR after pediatric PCNL. The SKS scoring system is associated with SFR in pediatric patients undergoing PCNL; however, this relationship has not been established for complications.

Endovascular treatment of aneurysm remnants with the Contour Neurovascular System after previous treatment.

The Contour Neurovascular System (CNS) is a novel intrasaccular flow disrupting device with a semi-3D cup-like shape for the treatment of intracranial aneurysms. This study investigates the potential and limitations of the CNS for embolization of aneurysm remnants after previous treatment. Ten cases of aneurysm recurrence treatment with the CNS were analyzed from a single-center database. Technical success, procedural aspects, complications, and angiographic results were evaluated. The aneurysms (median width: 5.3 mm, median neck width: 3.8 mm) were located in the anterior communicating artery (4), basilar tip (3), internal carotid artery (1), middle cerebral artery (1), and superior cerebellar artery (1). The aneurysms were initially treated endovascularly (9) and by clipping (1). Retreatment failed in one case where the smallest available CNS proved to be too small and had to be removed. Adjunctive coiling was performed in two large remnants of partially thrombosed basilar tip aneurysms. There were no procedural complications or morbidity. At a median follow-up of nine months, 4/8 (50%) aneurysms were completely occluded, 2/8 (25%) had neck remnants, and 2/8 (25%) had aneurysm remnants. The two aneurysm remnants were retreated with coiling and stent-assisted coiling, respectively. CNS treatment of aneurysm remnants may be feasible, especially for shallow, wide-necked aneurysm geometries. Further studies are needed to identify aneurysm subsets that benefit from CNS retreatment and to define mid- and long-term occlusion rates.

Physics-Informed Sampling Scheme for Efficient Well Placement Optimization

Abstract Well placement optimization (WPO) is a crucial task in terms of oil and gas recovery and economics in the field development plan. WPO poses significant challenges due to the multitude of local optima, which demand massive computational cost for global search algorithms. To address this, many proxy models have been applied for replacing reservoir simulations in many cases. Among these, convolutional neural networks (CNN)-based proxy models utilizing streamline time of flight maps as input demonstrated excellent performances. Nevertheless, these models exhibit diminishing performances during optimization processes, so additional retraining processes are required for successful results. In this study, we propose an initial sampling scheme using physics-informed quality maps incorporating static and dynamic information. The quality maps combine drainage area with permeability to represent the quality of each reservoir grid. The proposed scheme provides better performance than other sampling schemes. We demonstrate that the proposed scheme provides efficient well placement optimization regardless of the number of samples without retraining.

Testing the past: can we still run tests in past snapshots for Java projects?

Building past snapshots of a software project has shown to be of interest both for researchers and practitioners. However, little attention has been devoted specifically to tests available in those past snapshots, which are fundamental for the maintenance of old versions still in production. The aim of this study is to determine to which extent tests of past snapshots can be executed successfully, which would mean these past snapshots are still testable. Given a software project, we build all its past snapshots from source code, including tests, and then run the tests. When tests do not result in success, we also record the reasons, allowing us to determine factors that make tests fail. We run this method on a total of 86 Java projects. On average, for 52.53% of the project snapshots on which tests can be built, all tests pass. However, on average, 94.14% of tests pass in previous snapshots when we take into account the percentage of tests passing in the snapshots used for building those tests. In real software projects, successfully running tests in past snapshots is not something that we can take for granted: we have found that in a large proportion of the projects we studied this does not happen frequently. We have found that the building from source code is the main limitation when running tests on past snapshots. However, we have found some projects for which tests run successfully in a very large fraction of past snapshots, which allows us to identify good practices. We also provide a framework and metrics to quantify testability (the extent to which we are able to run tests of a snapshot with a success result) of past snapshots from several points of view, which simplifies new analyses on this matter, and could help to measure how any project performs in this respect.

Impact of ring size on the C[sbnd]H activation reactivity of iron(IV)–oxo complexes: A computational study with TMC macrocycles

Here, a DFT investigation has been presented to demonstrate the relevance of the macrocyclic ligand ring size of the high-valent Fe(IV)O complex-catalyzed CH activation process. A nonheme iron-oxo compound bound with extensively studied macrocycle tetramethylcyclam (TMC) with varying ring size measures in terms of n = 12, 13, 14, 15, and 16 in [Fe(IV)O(n-TMC)(CH3CN)]2+ has been considered as the oxidant and dihydroanthracene as the general substrate. Counterions, as always, have been considered to avoid the self-interaction error in these DFT calculations. Computations were carried out to determine the effect of the axial ligand, acetonitrile, on the CH activation reactivity. It has been discovered that the complexes without axial ligands turned out to be more reactive compared to their axially coordinated counterparts. The most intriguing finding, however, has been that reactivity increased steadily with ring size increments, giving us the trend 12 < 13 < 14 < 15 < 16. Behind this typical pattern of reactivity, several factors played a role, including the energy of the electron acceptor orbital, which sequentially decreases, and the distortion energy to achieve the transition state, which also decreases as we move on from n = 12 to 16. The triplet-quintet energy difference of the oxidants also has a part to play, as it decreases with increased ring size, with the quintet becoming more and more dominant. The current studies have also been able to corroborate the experimental data that was published regarding Fe(IV)O(13-TMC) (without axial syn form) having a higher CH activation reactivity than Fe(IV)O(14-TMC) (with axial anti form). On the whole, this computational exploration gives us a reactivity pattern based on the ring size commutes and can lead to successful experimental results if pursued based on this reaction.

Automatic Classification of Melanoma Skin Cancer Images with Vision Transform Model and Transfer Learning

Melanoma is one of the most aggressive and lethal forms of skin cancer. Therefore, early diagnosis and correct diagnosis are very important for the health of the patient. Diagnostic procedures require human expertise, increasing the possibility of error. With developing technology, advances in deep learning models have become hope for the automatic detection of Melanoma skin cancer with computer systems. The Vision Transformer (ViT) model was developed by Google and has achieved very successful results in the field of classification. In this study, the transfer learning method was applied with the ViT model using the melanoma skin cancer dataset taken from the Kaggle library and the performance of the model was evaluated. Before starting training, pre-processing was applied to the data set. The dataset consists of 9600 training and 1000 test images. Training and experimental testing of the model was carried out with Python language on the Colab platform. As a result of the experimental studies conducted on the test data set, it was seen that the model reached an accuracy rate of 93.5% and was competitive with existing models

Electrode-based floating treatment wetlands: Insights into design operation factors influencing bioenergy generation and treatment performance

Exponential increases in energy consumption and wastewater have often irreversible environmental impacts. As a result, bio-electrochemical devices like microbial fuel cells (MFCs), which convert chemical energy in organic matter to electricity using exoelectrogenic bacteria, have gained interest. However, operational factors affecting efficiency and energy output need further study. This research investigated bioenergy production and COD, TN, and TP removal in mesoscale floating treatment wetlands (FTW-MFC) using Phragmites australis, Iris pseudacorus, and a mix of both. The Iris FTW-MFC achieved a high voltage peak of 2100 mV. The maximum power densities of 484 mW/m2, 1196 mW/m2, and 441 mW/m2 were observed for Phragmites, Iris, and mixed FTW-MFCs, respectively. Despite promising bioenergy yields, pollutant removal was unsatisfactory. A low area/height ratio (0.38 m2/0.8 m) and high loading rate (18.1 g/m2·d COD) boosted bioenergy output but hindered treatment performance and stressed plants, causing root decay. No significant pollutant removal differences were found between FTW-MFC and FTW. Higher relative plant growth rates occurred in the FTW-MFC. Microbial analysis shown that representatives of Pseudomonas and Clostridium species were consistently found across all samples, involved in both organic compound transformation and electricity generation, contributed to successful microscale results. A supporting microscale MFC experiment showed wastewater composition's impact on bioenergy yield and pollutant removal. Pre-inoculated reactors improved organic matter transformation and electricity generation, while aeration increased voltage and treatment performance. The role of plants requires further verification in future experiments.

Perspectives of healthcare practitioners on environmental sustainability in healthcare: A qualitative study.

To explore the perspectives of Kazakhstani healthcare professionals on environmental sustainability in healthcare. An exploratory qualitative design. Four focus group discussions (FGDs) on environmental sustainability in healthcare were conducted among healthcare professionals (nurses, physicians, midwives and physical therapists) from June to August 2023 in three cities of Kazakhstan. Each FGD consisted of at least 6 to 11 participants and lasted between 60 and 90 minutes. The collected data were analysed using the thematic analysis. A total of 137 initial codes were identified and further organized into 22 sub-themes based on similarities in codes and meanings, and then 5 significant themes were identified. The five main themes are 'Environmental Sustainability Practices in Healthcare', 'Purposes of Environmental Sustainability in Healthcare', 'Impact of Environmental Sustainability in Healthcare in Patients', 'Challenges in Implementing Environmental Sustainability in Healthcare' and 'The Role of Healthcare Leadership in Improving Environmental Sustainability in Healthcare'. The findings highlighted the perceptions and practices of healthcare professionals on environmental sustainability's purposes in healthcare, its impacts on patients and its implementation challenges. The study also underscored the critical role of strong and active leadership in ensuring a sustainable implementation of green policies in healthcare facilities and achieving successful results of environmentally conscious healthcare practices. The findings provide invaluable information that can be used by policymakers and healthcare organization leaders to create a sustainable healthcare system. Implementing environmental sustainability practices in healthcare should be widespread, intentional, and sustainable, entailing strong leadership and unwavering personal and organizational commitment. No patient or public contribution. We adhered to relevant EQUATOR guidelines, specifically the Consolidated Criteria for Reporting Qualitative Research.

Sistem Monitoring dan Controlling “Smart waste” berbasis Internet of Things menggunakan modul ESP 32

The development of technology is one of the things that is currently popular and has become an innovation for our daily lives. The Internet of Things is a technology that combines electronic devices with the Internet and becomes an innovation for various kinds of problems that often occur. The problem that continues to happen and is difficult to handle is waste. Every day, the amount of waste increases, and the waste processing process is still a job that takes a long time and often becomes a source of disease. So, through these developments and problems, researchers created an innovation for handling waste using the Internet of Things, where this system can monitor and control the sorting of waste based on the categories of organic waste and plastic waste. The waste sorting results will be put into the waste shredding process, and raw materials for fertilizer will be produced from organic waste and plastic pellets from shredding plastic waste. Users can control and receive notification results if the enumeration storage area weighs more than 4 kg. Testing of the "Smart waste" Monitoring and Controlling System based on the Internet of Things using the ESP 32 module was carried out 30 times and obtained a successful result of 86.67%. Keywords: Internet of Things, Smart waste, Monitoring, Controlling, Esp 32

Exploring Mean Platelet Volume and Platelet Count Recovery in Dengue Patients: Findings From an Observational Retrospective Clinical Study.

Introduction Mean platelet volume (MPV) measures platelet size in the blood, which is important because dengue fever often leads to low platelet counts, especially during the critical phase. However, predicting when a patient's platelet count will recover is challenging due to the lack of clinical data. MPV may offer a solution as it tends to rise when platelet counts fall, suggesting a possible link to bone marrow activity. This study aims to understand how MPV changes during the three phases of dengue fever and how it relates to platelet count recovery. Successful results could provide valuable markers for clinicians, helping improve patient care and management. Material The study was carried out in the Department of Medicine,Kalinga Institute of Medical Sciences (KIMS), Bhubaneswar, Odisha, India. The patients who were admitted with dengue fever/dengue haemorrhagic fever in the month of July 2023 were analysed. Observations A total of 130 patients were analysed. The average (avg) MPV on day one was 10.85 ± 1.56, on day three was 10 ± 1.48, and on day five was 9.80 ± 1.30. The avg. total platelet on day one was 119476.92 ± 78,107.78, on day three was 119000 ± 59962.52, and on day five was 169200 ± 100839.84. The correlation between MPV and platelet on day one was r= -0.22, p=0.011, which was statistically significant; on day three was r= -0.32, p=0.0001, which was statistically significant, and on day five was r= -0.30, p= 0.0004, which was statistically significant. Conclusion These findings suggest that as dengue fever progresses, MPV tends to increase as platelet counts decline. This information can be beneficial in clinical practice as it highlights the potential utility of MPV as a predictive marker for platelet recovery, aiding healthcare providers in the timely management of dengue patients to mitigate bleeding risks.