bluuebunny/crossref_metadata_2025_split huggingface dataset:
Do clinical practice guidelines follow sustainable healthcare principles? A review of respiratory guidance
Authors: Khan Naba , Walpole Sarah C. , Rostkowska Olga M. , Smith James N. , Miller Fiona A. 
Published: September 2023

Background
Respiratory care is an important site for climate action, given that common treatments for conditions such as asthma and COPD produce significant greenhouse gas emissions, even as respiratory health is negatively impacted by climate change. Clinical guidelines provide key information for healthcare professionals and can promote approaches to healthcare that can mitigate negative environmental impacts, and optimise patient treatment, care delivery, and equitable outcomes, and bring awareness and legitimacy to sustainable healthcare practices.

Methods
Twenty national and international clinical respiratory guidelines were purposively selected and screened for inclusion of four principles of sustainable clinical practice: prevention, patient empowerment and self-care, lean service delivery, and low carbon alternatives. A screening framework specific to respiratory care implications was developed and used to review each guideline for mention of relevant topics, recommendations, and explicit links to sustainability in relation to each principle.

Findings
Sustainable clinical care principles were evident in most guidelines reviewed, environmental sustainability was mentioned infrequently. Many guidelines emphasised prevention (more secondary than primary) and support for patient preference and streamlining care, yet there was rarely mention of how these recommendations could contribute to lowering the environmental impacts of health systems. Low carbon alternatives were mentioned in only three guidelines.

Conclusions
While many clinical respiratory guidelines make recommendations in accordance with the principles of prevention, patient empowerment and self-care, and lean service delivery, reducing the carbon footprint of healthcare was rarely mentioned in the guidelines. Including explicit attention to the environmental impact of clinical care in guidance could support efforts to reduce the wider harms of healthcare, meanwhile, noting the clinical benefits of sustainable approaches could promote the uptake of recommendations.
Keypoint-based registration of TLS point clouds using a statistical matching approach
Authors: Janßen Jannik , Kuhlmann Heiner , Holst Christoph 
Published: September 2023

AbstractLaser scanning is a wide-spread practice to capture the environment. Besides the fields of robotics and self-driving cars, it has been applied in the field of engineering geodesy for documentation and monitoring purposes for many years. The registration of scans is still one of the main sources of uncertainty in the final point cloud. This paper presents a new keypoint-based method for terrestrial laser scan (TLS) registration for high-accuracy applications. Based on detected 2D-keypoints, we introduce a new statistical matching approach that tests wheter keypoints, scanned from two scan stations, can be assumed to be identical. This approach avoids the use of keypoint descriptors for matching and also handles wide distances between different scanner stations. The presented approach requires a good coarse registration as initial input, which can be achieved for example by artificial laser scanning targets. By means of two evaluation data sets, we show that our keypoint-based registration leads to the smallest loop closure error when traversing several stations compared to target-based and ICP registrations. Due to the high number of observations compared to the target-based registration, the reliability of the our keypoint-based registration can be increased significantly and the precision of the registration can be increased by about 25 % on average.
Wireless sensor node localization algorithm combined with PSO-DFP
Authors: Sun Jingjing , Zhang Peng , Kong Xiaohong 
Published: September 2023

Abstract
In wireless communication technology, wireless sensor networks usually need to collect and process information in very harsh environment. Therefore, accurate positioning of sensors becomes the key to wireless communication technology. In this study, Davidon–Fletcher–Powell (DFP) algorithm was combined with particle swarm optimization (PSO) to reduce the influence of distance estimation error on positioning accuracy by using the characteristics of PSO iterative optimization. From the experimental results, among the average precision (AP) values of DFP, PSO, and PSO-DFP algorithms, the AP value of PSO-DFP was 0.9972. In the analysis of node positioning error, the maximum node positioning error of PSO-DFP was only about 21 mm. The results showed that the PSO-DFP algorithm had better performance, and the average positioning error of the algorithm was inversely proportional to the proportion of anchor nodes, node communication radius, and node density. In conclusion, the wireless sensor node location algorithm combined with PSO-DFP has a better location effect and higher stability than the traditional location algorithm.
Evidence-based rehabilitation medicine: definition, foundation, practice and development
Authors: Zhang Jinlong , He Chengqi 
Published: September 2023

AbstractTo determine the definition, foundation, practice, and development of evidence-based rehabilitation medicine (EBRM) and point out the development direction for EBRM. Retrieve the database of PubMed, Cochrane Library, Embase, China national knowledge infrastructure (CNKI), Wanfang, and China science and technology journal database (CSTJ). The search was conducted from the establishment of the database to June 2023. The key words are “rehabilitation medicine and evidence based” in Chinese and English. After reading the abstract or full text of the literature, a summary analysis is conducted to determine the definition, foundation, practice, and development of EBRM. A total of 127 articles were included. The development of 14 sub majors in EBRM are not balanced, evidence-based musculoskeletal rehabilitation medicine (EBMRM) (31 articles, mainly focuses on osteoarthritis, osteoporosis and musculoskeletal pain), evidence-based neurorehabilitation medicine (EBNM) (34 articles, mainly concentrated in stroke, traumatic brain injury and spinal cord injury) and evidence-based education rehabilitation medicine (EBEDRM) (17 articles, mainly focuses on educational methodology), evidence-based nursing rehabilitation medicine (EBNRM) (2 articles), evidence-based engineering rehabilitation medicine (EBENRM) (7 articles), evidence-based traditional Chinese rehabilitation medicine (EBTCRM) (3 articles), evidence-based internal rehabilitation medicine (EBIRM) (11 articles), evidence-based intensive care rehabilitation medicine (EBICRM) (4 articles), evidence-based oncology rehabilitation medicine (EBORM) (6 articles), evidence-based physical therapy medicine (EBPTM) (3 articles), evidence-based cardiopulmonary rehabilitation medicine (EBCRM) (6 articles), evidence-based speech therapy medicine (EBSTM)/evidence-based occupation therapy medicine (EBOTM)/evidence-based geriatric rehabilitation medicine (EBGRM) (1 article). The EBMRM, EBNM and EBEDRM are relatively well developed. The development of EBNRM, EBENRM, EBTCRM, EBIRM, EBICRM, EBGRM, EBORM, EBCRM, EBPTM, EBSTM and EBOTM is relatively slow, indicating these eleven fields should be pay more attention in future.
Urban and Rural Attitudes toward School Food
Authors: Juhász Katalin 
Published: September 2023

AbstractIn the social sciences, it is a classic practice to contrast the development of the countryside and the city as two endpoints of a chain. However, since the beginning of the 21st century, the validity of the rural-urban dichotomy has been increasingly questioned, and we are now talking about two interconnected and complementary systems instead. In examining contemporary school meals, we ourselves observed this close and varied pattern of intertwining between the city and the countryside. Therefore, we believe it is useful to identify rural and urban features in contemporary public catering practices, and to outline mixed models that can be placed between the two endpoints in space and time. All of this can be edifying because urbanized foodways, following current food health and gastronomic trends, sustainability, climate and environmental protection requirements, as well as social considerations, return from time to time to the old village farming practices and foodways in various ways, and utilize knowledge related to traditional farming. Illustrated with specific examples, the study outlines three types of school catering models, from the oldest practice called “rural” to the “urban” (urbanized) type. A comparison of these types of public catering practices reveals the problems observed in today’s public catering.
Lärares kompetensutveckling – behöver vi tänka nytt?
Authors: Hultman Glenn 
Published: September 2023

Forskare har påtalat behovet av longitudinella studier av utvecklingsinsatser men ett problem som inträffar när man enbart har möjlighet att delta i förändringen under kort tid är att projekt och satsningar som avbryts kort tid efter start innebär att vi saknar tillräcklig information om orsakerna till detta och vad som händer/inte händer efter ”projektslutet”.
En uppföljning av olika satsningar och projekt efter att de avslutats skulle kunna ge intressant kunskap som komplettering till tidigare studier, ”vad händer sedan?”. Kan kommunerna rikta sitt intresse mot detta och kanske utnyttja de bland skolans personal som har olika former av vetenskaplig skolning (lektorer, förstelärare m fl) med tanke på det intresse som finns kring praktiknära forskning (gärna i samarbete med parter inom universiteten). Och ett sådant arbete skulle också kunna ge tankar kring hur vi utvecklar arbetet med lärares kompetensutveckling och lärande.
Use of electrochemical impedance spectroscopy to assess the stability of the anion exchange membrane MA-41, modified by poly-N,N-diallylmorpholine bromide in overlimiting current modes
Authors: Bondarev Denis A. , Achoh Aslan R. , Bespalov Alexander V. , Melnikov Stanislav S. , Sharafan Mikhail V. , Zabolotskiy Viktor I. 
Published: September 2023

The paper presents the results of studying the electrochemical characteristics and long-term stability of MA-41 membranes on the surface of which poly-N,N-diallylmorpholinium bromide was applied. The deposition of a polyelectrolyte on the membrane surface leads to an increase in the limiting current from 0.8 to 1.1 mA/cm2. The comparison of the experimental and theoretically calculated values of the limiting current density allows us to conclude that the modification of the membrane surface by poly-N,N-diallylmorpholinium bromide does not lead to the formation of a continuous polyelectrolyte film on the surface, but its fixation occurs due to the sorption of macromolecules on the surface of the ion-exchanger particles. To quantify the rate of the water dissociation reaction at the membrane/solution interface, the method of electrochemical impedance was used, which makes it possible to compare the rate constants of the water dissociation reaction for different membranes, assuming that the reaction is described by the Gericher impedance. It is shown that modification of the MA-41 membrane surface leads to a decrease in the rate of the water dissociation reaction in the current range i = 1.5–4ilim by a factor of 2–6. The reduction in water dissociation reaction rate is attributed to the substitution of catalytically active secondary and tertiary amino groups in the surface layer of the pristine membrane by stable heterocyclic ammonium bases of poly-N,N-diallylmorpholinium. The study of the long-term stability of the resulting membrane showed that when the membrane is polarized with a current equal to twice the limiting current, the desorption of the modifier occurs within 25 h, and the properties of the membrane become close to those of the unmodified MA-41 membrane. It was shown that the electrochemical impedance method can be used as a very sensitive method for studying the long-term stability of ion-exchange membranes.
A Comprehensive Review of Image Restoration and Noise Reduction Techniques
Authors: Agrawal Rashmi , Gupta Neha 
Published: September 2023

Images play a crucial role in modern life and find applications in diverse fields, ranging from preserving memories to conducting scientific research. However, images often suffer from various forms of degradation such as blur, noise, and contrast loss. These degradations make images difficult to interpret, reduce their visual quality, and limit their practical applications.
To overcome these challenges, image restoration and noise reduction techniques have been developed to recover degraded images and enhance their quality. These techniques have gained significant importance in recent years, especially with the increasing use of digital imaging in various fields such as medical imaging, surveillance, satellite imaging, and many others.
This paper presents a comprehensive review of image restoration and noise reduction techniques, encompassing spatial and frequency domain methods, and deep learning-based techniques. The paper also discusses the evaluation metrics utilized to assess the effectiveness of these techniques and explores future research directions in this field. The primary objective of this paper is to offer a comprehensive understanding of the concepts and methods involved in image restoration and noise reduction.
A Hybrid Optimization Approach for Neural Machine Translation Using LSTM+RNN with MFO for Under Resource Language (Telugu)
Authors: Garugu Srisudha , Bhaskari D. Lalitha 
Published: September 2023

NMT (Neural Machine Translation) is an innovative approach in the field of machine translation, in contrast to SMT (statistical machine translation) and Rule-based techniques which has resulted annotable improvements. This is because NMT is able to overcome many of the shortcomings that are inherent in the traditional approaches. The Development of NMT has grown tremendously in the recent years but NMT performance remain under optimal when applied to low resource language pairs like Telugu, Tamil and Hindi. In this work a proposedmethod fortranslating pairs (Telugu to English) is attempted, an optimal approach which enhancesthe accuracy and execution time period.A hybrid method approach utilizing Long short-term memory (LSTM) and traditional Recurrent Neural Network (RNN) are used for testing and training of the dataset. In the event of long-range dependencies, LSTM will generate more accurate results than a standard RNN would endure and the hybrid technique enhances the performance of LSTM. LSTM is used during the encoding and RNN is used in decoding phases of NMT. Moth Flame Optimization (MFO) is utilized in the proposed system for the purpose of providing the encoder and decoder model with the best ideal points for training the data.
Heart Disease Prediction using Different Machine Learning Algorithms
Authors: P. K. Rajani , Patil Kalyani , Marathe Bhagyashree , Mhaisane Prerna , Tundalwar Atharva 
Published: September 2023

Identifying a person's potential for developing heart disease is one of the most challenging tasks medical professionals faces today. With nearly one death from heart disease every minute, it is the leading cause of death in the modern era [4]. The database is taken from Kaggle. Various machine learning algorithms are used for prediction of heart disease detection here are Random Forest, XG-Boost, K- Nearest Neighbors (KNN), Logistic Regression, Support Vector Machines (SVM). All these algorithms are implemented using Python programming with Google collab. The performance evaluation parameters used here are Accuracy, precision, recall and Fi-score. Training and testing are implemented for different ratios such as 60:40, 70:30 and 80:20. From the analysis and comparisons of evaluation parameters of all the above algorithms, XG-Boost is having the highest accuracy and recall value. KNN having worst accuracy and recall amongst all. XG-Boost is having a training accuracy of 98.86, 98.74 and 97.68 for training and testing ratio of 60:40, 70:30 and 80:20 respectively. XG-Boost is having a testing accuracy of 95.85, 95.45 and 96.09 for training and testing ratio of 60:40, 70:30 and 80:20 respectively. So, XG-Boost algorithm can be used for obtaining the best prediction for heart disease. This type of heart disease prediction can be used as a secondary diagnostic tool for doctors, for best and fast prediction. This can help the early prediction of heart disease thus increasing the chances of the saving the life heart patient.
Implementation of Deep CNN Model for the Detection of Plant Leaf Disease
Authors: Deepa S. , Vijayanand J. , Danesh K. , Gomathi M. , Subramani Kavitha 
Published: September 2023

The potato is the most important tuber crop in the world, and it is grown in about 125 different nations. Potato is the crop that is most commonly consumed by a billion people worldwide, virtually every day, behind rice and wheat. However, a number of bacterial and fungal diseases are causing the potato crop's quality and yield to decline. Potato Leaf diseases must be promptly identified and prevented to increase production. Various researchers look for solutions to protect plants instead of traditional processes which take more time. Recent technological developments have thrown up many alternates to traditional methods which are labour intensive. The application of AlexNet model Deep Convolutional Neural Network(CNN) to recognise diseases in potato plants avoids the disadvantages of selecting disease spot features artificially and makes more objective the plant disease feature extraction. It improves research efficiency and speeds up technology transformation. Accuracies ranging from 85% - to 95% were obtained using AlexNet model Deep.
Hormonal therapy in women, thromboembolic complications and laboratory characteristics of the hemostasis system for personalized solutions
Authors: Startseva O. N. , Vavilova T. V. , Zybina N. N. 
Published: September 2023

The use of hormonal drugs for contraception and menopausal replacement therapy is widespread throughout the world. However, the use of these drugs is associated with an increased risk of thromboembolic complications (TEO). At present, it has been established that the most important cause of feasibility study is the initial, sometimes hidden, violations of the hemostasis system, predisposing to increased blood clotting and thrombosis. Their timely identification helps to personalize the use of the necessary hormonal therapy.
New Approaches to Using Plant Flavor-Forming Enzymes
Authors: Dubova Halyna , Levchuk Iryna , Galkin Alexander , Hmelnitska Yevgenia , Poyedinok Natalia 
Published: September 2023

Background. Proteases, as well as enzyme complexes with various combinations of lipase, amylase, and cellulase, are used as flavor enzymes to impart aroma to processed raw materials. Plant-derived enzymes have significant potential for influencing aroma-forming reactions.
Objective. The aim of this study is to investigate the intentional alteration of the aroma of onions, linden leaves, and cherry leaves by either activating (in the case of linden and cherry leaves) or inhibiting (in the case of onions) specific plant enzyme complexes.
Methods. Linden and cherry leaves, as well as onion bulbs, were selected as the subjects that change their aroma by a complex of enzymes. To activate the enzymes present in the tree leaves, fermentation conditions similar to those used in tea leaf processing were applied. Mustard seeds and horseradish roots were employed as supplementary sources of enzymes. Ginger, extracts of bleck tea, grean tea, and oark bark were used to influence the reactions of onion aroma formation.
Results. It was determined that flavor enzymes of tree leaves are active in different periods of leaf formation: enzyme complex in cherry leaves becomes active after flowering, while linden leaves exhibit enzymatic activity before flowering. Plant enzymes, such as mustard myrosinases and horseradish polyphenol oxidases, were found to be effective in modifying the onion's flavor. The substances contained in extracts of black tea, green tea, and ginger were observed to effectively inhibit the development of onion aroma.
Conclusions. The compounds of ginger, black tea, and green tea extracts were found to slow down or inhibit the development of the onion aroma. The aroma of cherry and linden tree leaves undergoes transformation due to the natural leaf enzymes, resulting in aromas reminiscent of cherry berries and linden blossoms, respectively. Plant aroma-forming enzymes in linden leaves have a a more significant impact on the aroma before flowering, whereas aroma-forming enzymes in cherry leaves exert a stronger influence after fruiting.
Measurement of Effective Hydrogen-Methane Gas Diffusion Coefficients in Reservoir Rocks
Authors: Arekhov Vladislav , Zhainakov Timur , Clemens Torsten , Wegner Jonas 
Published: September 2023

Summary
If hydrogen is stored in depleted gas fields, the remaining hydrocarbon gas can be used as cushion gas. The composition of the backproduced gas depends on the magnitude of mixing between the hydrocarbon gas and the hydrogen injected. One important parameter that contributes to this process of mixing is molecular diffusion. Although diffusion models are incorporated in the latest commercial reservoir simulators, effective diffusion coefficients for specific rock types, pressures, temperatures, and gas compositions are not available in the literature. Thus, laboratory measurements were performed to improve storage performance predictions for an underground hydrogen storage (UHS) project in Austria.
An experimental setup was developed that enables measurements of effective multicomponent gas diffusion coefficients. Gas concentrations are detected using infrared light spectroscopy, which eliminates the necessity of gas sampling. To test the accuracy of the apparatus, binary diffusion coefficients were determined using different gases and at multiple pressures and temperatures. Effective diffusion coefficients were then determined for different rock types. Experiments were performed multiple times for quality control and to test reproducibility.
The measured binary diffusion coefficients without porous media show a very good agreement with the published literature data and available correlations based on the kinetic gas theory (Chapman-Enskog, Fuller-Schettler-Giddings). Measurements of effective diffusion coefficients were performed for three different rock types that represent various facies in a UHS project in Austria.
A correlation between static rock properties and effective diffusion coefficients was established and used as input to improve the numerical model of the UHS. This input is crucial for the simulation of backproduced gas composition and properties which are essential parameters for storage economics. In addition, the results show the impact of pressure on effective diffusion coefficients, which impacts UHS performance.