bluuebunny/crossref_metadata_2025 huggingface dataset:
Postoperative pain and pain management and neurocognitive outcomes after non-cardiac surgery: a protocol for a series of systematic reviews
Authors: Khaled Maram , Sabac Denise , Marcucci Maura
Published: December 2022

Background

Postoperative delirium (POD) is common after non-cardiac surgery in older adults and can result in increased risk of adverse outcomes including postoperative cognitive dysfunction (POCD). Pain after surgery is also frequent and can persist as chronic postsurgical pain (CPSP). Evidence is inconsistent and controversial on whether acute and chronic postsurgical pain, and different postoperative pain management strategies (including opioid versus opioid-sparing strategies), is associated with the occurrence of POD and POCD. In this protocol, we propose a series of systematic reviews to answer the following research questions: In adults undergoing non-cardiac surgery, (1) is acute postsurgical pain associated with POD and/or POCD? (2) Are opioid-sparing/avoidance strategies of acute postoperative pain management associated with lower incidence and/or severity of POD and POCD, compared to predominantly opioid-based strategies? (3) Is CPSP associated with POCD? (4) Are opioid-sparing management strategies of CPSP associated with lower incidence and/or severity of POCD compared to standard of care or strategies not aiming at reduced opioid use?

Methods

We will search MEDLINE, EMBASE, Cochrane (CENTRAL), CINAHL, and PSYCHINFO. According to the research question, we will include cohort and case-control studies (questions 1 and 3) or randomized controlled trials and non-randomized studies (questions 2 and 4). The risk of bias will be assessed independently and in duplicate using the revised Cochrane risk-of-bias tool, the Newcastle-Ottawa Scale, and the Joanna-Briggs Institute critical appraisal checklist. Disagreements will be resolved by a third reviewer. Findings will be reported narratively, and where possible and appropriate, meta-analyses will be performed. Certainty of evidence will be assessed using the Grading of Recommendations Assessment, Development, and Evaluation approach. We will conduct the reviews in accordance with the guideline of the Preferred Reporting Items for Systematic Review and Meta-Analyses Protocols.

Discussion

Our systematic reviews will summarize available evidence to date on the association of postoperative pain and its management strategies with the incidence of POD and POCD in non-cardiac surgery. We will evaluate the existing evidence and its limitations and inform the design of future interventional studies comparing the effects of different pain management strategies on postoperative neurocognitive outcomes.

Systematic review registration

PROSPERO CRD42021192105
Does the country’s political and economic risks trigger risk-taking behavior in the banking sector: a new insight from regional study
Authors: Athari Seyed Alireza , Irani Farid
Published: December 2022

This study specifically explores the effect of domestic political and economic risks on risk-taking in the banking sector for 105 countries operating in six various geographical regions between 2009 and 2017. To the best of our knowledge, this may be the first study that attempts to conduct this relationship from this perspective. Remarkably, the dynamic estimation results underscore that a rise in political and economic risks triggers risk-taking behavior in the banking sector globally, in particular in the OECD High-income region. Besides, the estimation results reveal that capital regulation, market power, and income diversification negatively impact risk-taking while credit risk, inefficiency, financial market development, and deposit insurance have a positive effect on risk-taking behavior. The results also stress that the extent of the effect of determinants and significance level vary by changing the region. The results are robust and have significant implications for policymakers and bank managers.
Degradation pathways for organic matter of terrestrial origin are widespread and expressed in Arctic Ocean microbiomes
Authors: Grevesse Thomas , Guéguen Céline , Onana Vera E. , Walsh David A.
Published: December 2022

Background

The Arctic Ocean receives massive freshwater input and a correspondingly large amount of humic-rich organic matter of terrestrial origin. Global warming, permafrost melt, and a changing hydrological cycle will contribute to an intensification of terrestrial organic matter release to the Arctic Ocean. Although considered recalcitrant to degradation due to complex aromatic structures, humic substances can serve as substrate for microbial growth in terrestrial environments. However, the capacity of marine microbiomes to process aromatic-rich humic substances, and how this processing may contribute to carbon and nutrient cycling in a changing Arctic Ocean, is relatively unexplored. Here, we used a combination of metagenomics and metatranscriptomics to assess the prevalence and diversity of metabolic pathways and bacterial taxa involved in aromatic compound degradation in the salinity-stratified summer waters of the Canada Basin in the western Arctic Ocean.

Results

Community-scale meta-omics profiling revealed that 22 complete pathways for processing aromatic compounds were present and expressed in the Canada Basin, including those for aromatic ring fission and upstream funneling pathways to access diverse aromatic compounds of terrestrial origin. A phylogenetically diverse set of functional marker genes and transcripts were associated with fluorescent dissolved organic matter, a component of which is of terrestrial origin. Pathways were common throughout global ocean microbiomes but were more abundant in the Canada Basin. Genome-resolved analyses identified 12 clades ofAlphaproteobacteria, includingRhodospirillales, as central contributors to aromatic compound processing. These genomes were mostly restricted in their biogeographical distribution to the Arctic Ocean and were enriched in aromatic compound processing genes compared to their closest relatives from other oceans.

Conclusion

Overall, the detection of a phylogenetically diverse set of genes and transcripts implicated in aromatic compound processing supports the view that Arctic Ocean microbiomes have the capacity to metabolize humic substances of terrestrial origin. In addition, the demonstration that bacterial genomes replete with aromatic compound degradation genes exhibit a limited distribution outside of the Arctic Ocean suggests that processing humic substances is an adaptive trait of the Arctic Ocean microbiome. Future increases in terrestrial organic matter input to the Arctic Ocean may increase the prominence of aromatic compound processing bacteria and their contribution to Arctic carbon and nutrient cycles.
Stochastic variational variable selection for high-dimensional microbiome data
Authors: Dang Tung , Kumaishi Kie , Usui Erika , Kobori Shungo , Sato Takumi , Toda Yusuke , Yamasaki Yuji , Tsujimoto Hisashi , Ichihashi Yasunori , Iwata Hiroyoshi
Published: December 2022

Background

The rapid and accurate identification of a minimal-size core set of representative microbial species plays an important role in the clustering of microbial community data and interpretation of clustering results. However, the huge dimensionality of microbial metagenomics datasets is a major challenge for the existing methods such as Dirichlet multinomial mixture (DMM) models. In the approach of the existing methods, the computational burden of identifying a small number of representative species from a large number of observed species remains a challenge.

Results

We propose a novel approach to improve the performance of the widely used DMM approach by combining three ideas: (i) we propose an indicator variable to identify representative operational taxonomic units that substantially contribute to the differentiation among clusters; (ii) to address the computational burden of high-dimensional microbiome data, we propose a stochastic variational inference, which approximates the posterior distribution using a controllable distribution called variational distribution, and stochastic optimization algorithms for fast computation; and (iii) we extend the finite DMM model to an infinite case by considering Dirichlet process mixtures and estimating the number of clusters as a variational parameter. Using the proposed method, stochastic variational variable selection (SVVS), we analyzed the root microbiome data collected in our soybean field experiment, the human gut microbiome data from three published datasets of large-scale case-control studies and the healthy human microbiome data from the Human Microbiome Project.

Conclusions

SVVS demonstrates a better performance and significantly faster computation than those of the existing methods in all cases of testing datasets. In particular, SVVS is the only method that can analyze massive high-dimensional microbial data with more than 50,000 microbial species and 1000 samples. Furthermore, a core set of representative microbial species is identified using SVVS that can improve the interpretability of Bayesian mixture models for a wide range of microbiome studies.
Study on the adaptability of traditional architecture in agricultural heritage sites after tourism intervention—a case study of Huzhou Digang Food Street in China
Authors: Wang Ying , Sun Yehong , Gu Xingguo , Wu Wenjie , Yao Cancan
Published: December 2022

Traditional architecture in agricultural heritage sites (AHSs) embodies the livelihood of local communities and residents, which is an important part of the AHS. However, with the intervention of tourism, some of the traditional architecture in AHSs has gradually transformed into simple use for tourism, without reflecting the cultural connotations of agricultural heritage systems, as well as the farming wisdom of the AHS. This paper takes Digang Food Street in Huzhou, China as an example, which is in the core protection area of the Huzhou mulberry-dyke and fish-pond system, combining comparative analysis and geographical system analysis to explore the adaptive transformation in decoration, structure, spatial layout and functional form of buildings after the development of the tourism industry. The dynamic relationship among traditional architecture, sustainable development of tourism and conservation of agriculture heritage is also analysed, expecting to provide some experience and reference for the conservation of other AHSs.
Integrating Collaborative Filtering Technique Using Rating Approach to Ascertain Similarity Between the Users
Authors: Pavithra C , Saradha M
Published: December 2022

The recommender system handles the plethora of data by filtering the most crucial information based on the dataset provided by a user and other criterion that are taken into account.(i.e., user's choice and interest). It determines whether a user and an item are compatible and then assumes that they are similar in order to make recommendations. Recommendation system uses Singular value decomposition method as collaborative filtering technique. The objective of this research paper is to propose the recommendation system that has an ability to recommend products to users based on ratings. We collect essential information like ratings given by the users from e-commerce that are required for recommendation, Initially the dataset that are gathered are sparse dataset, cosine similarity is used to find the similarity between the users. Subsequently, we collect non-sparse data and use Euclidian distance and Manhattan distance method to measure the distance between users and the graph is plotted, this ensures the similar liking and preferences between them. This method of making recommendations are more reliable and attainable.
Hybrid Hyper Chaotic Map with LSB for Image Encryption and Decryption
Authors: Shankar Jahnavi , Nandini C.
Published: December 2022

There are number of images that transmitted through the web for various usages like medical imaging, satellite images, military database, broadcasting, confidential enterprise, banking, etc. Thus, it is important to protect the images confidentially by securing sensitive information from an intruder. The present research work proposes a Hybrid Hyper Chaotic Mapping that considers a3D face Mesh model for hiding the secret image. The model has a larger range of chaotic parameters which are helpful in the chaotification approaches. The proposed system provides excellent security for the secret image through the process of encryption and decryption. The encryption of the secret image is performed by using chaos encryption with hyper hybrid mapping. The hyper hybrid mapping includes enhanced logistic and henon mapping to improve the computation efficiency for security to enhance embedding capacity. In the experiment Fingerprint and satellite image is used as secret image. The secret image is encrypted using a Least Significant Bit (LSB) for embedding an image. The results obtained by the proposed method showed better enhancements in terms of SNR for the 3D Mesh model dataset as 77.85 dB better compared to the existing models that achieved Reversible data hiding in the encrypted domain (RDH-ED) of 33.89 dB and Multiple Most Significant Bit (Multi-MSB) 40 dB. Also, the results obtained by the proposed Hybrid Hyper chaotic mapping showed PSNR of 65.73 dB better when compared to the existing Permutation Substitution and Boolean Operation that obtained 21.19 dB and 21.27 dB for the Deoxyribonucleic Acid (DNA) level permutation-based logistic map.
Multimodal Medical Image Fusion using Hybrid Domains
Authors: Naidu A Rajesh , Bhavana D.
Published: December 2022

In a variety of clinical applications, image fusion is critical for merging data from multiple sources into a single, more understandable outcome. The use of medical image fusion technologies to assist the physician in executing combination procedures can be advantageous. The diagnostic process includes preoperative planning, intra operative supervision, an interventional treatment. In this thesis, a technique for image fusion was suggested that used a combination model of PCA and CNN. A method of real-time image fusion that employs pre-trained neural networks to synthesize a single image from several sources in real-time. A innovative technique for merging the images is created based on deep neural network feature maps and a convolution network. Picture fusion has become increasingly popular as a result of the large variety of capturing techniques available. The proposed design is implemented using deep learning technique. The accuracy of the proposed design is around 15% higher than the existing design. The proposed fusion algorithm is verified through a simulation experiment on different multimodality images. Experimental results are evaluated by the number of well-known performance evaluation metrics
Cloud Broker Recommendation Framework to Provide Trustworthy Cloud Services to the End User
Authors: Marimuthu M. , Akilandeswari J. , Varasree B. , RAJESH KUMAR Gunupudi , Ramasubbareddy Somula
Published: December 2022

In recent years, many cloud services have become available on the Website}. Discovering suitable cloud services for the end user is incredibly complex and difficult. The cloud brokerage service is an application that aids in providing solutions for this problem. It recommends suitable cloud service providers to the end users depending on their relevant requirements. The Internet provides access to a wide variety of cloud brokers. As a result, choosing a cloud broker or service provider is both time-consuming and tedious. It is now becoming a necessity to choose a proper cloud brokerage service based on trust. Research works found in the literature address some of the issues and provide feasible solutions by proposing frameworks, optimizations and rule based algorithms. However, those works focus solely on delivering a trustworthy service to the end user through application of techniques and algorithms. There is no proper framework model in place to provide suitable and trustworthy recommended services to the users. This article provides a detailed description of the frameworks that are offered by the researchers, including issues and proposes a trustworthy recommendation framework (TRF) to provide trustworthy services to the end user. This article also presents a Trustworthy Recommended Weighted value (TRWv) approach for determining trustworthy services, and it is discovered that the proposed method achieves high accuracy (91.3%) when compared to similar works.
Design an Uncertain Model for the Stubbed Ground Plane by Increasing the Bandwidth of the Monopole Antenna
Authors: David D. Jasmine , Anitha P. , Ramalakshmi K. , Selvarathi M. , Jebaseeli T. Jemina , Suresh P. , Dhivya P.
Published: December 2022

Uncertainty is stated as the indication of the quality of the calibration certificate. When uncertainties occurred in a stubbed ground plane, it affects the performance of every source. Hence, a thorough analysis of uncertainties on a monopole antenna is required. The proposed research work is to focus on designing a planar monopole antenna to improve the bandwidth with minimal changes on the ground plane mainly for medical applications and to reduce the uncertainty. The narrowband antenna on the ground plane is redesigned to boost up the gain and broadens the monopole antenna’s bandwidth impedance. Then the ground plane is integrated with the rectangular plate. As a result the bandwidth is 42.5 GHz ahead.
Design and Development of a Low-cost Sensor IoT Computing Device for Greenhouse Gas Momitor from Selected Industry Locations
Authors: Hamidu Ibrahim , Afotey Benjamin , Ayatul-Lahi Zakaria
Published: December 2022

The objective of the study is to develop low-cost IoT based sensor to monitor real-time greenhouse gases (GHG) emissions data from selected industry locations (city blocks) in a top-down approach. Three (3) industry locations were selected within the Suame Industrial complex (the largest single cluster of artisanal engineering and light manufacturing in Sub Saharan Africa and even Africa) which has no reported GHG emissions data. A GHG monitor was developed using Atmega328 microcontroller and a sim800I GSM module was used to collect a 24-hour real-time minute-by-minute emissions data from the selected industry locations. A MQ-4 (methane/natural gas sensor), MQ-135 (Nitrous Oxide sensors) and DHT22 (temperature and humidity sensor) were used in the GHG monitor design. The GHG of concern were carbon dioxide, methane and nitrous oxide. A total of 3627 emissions data were collected and analyzed from the three (3) industry locations. Location 3 had the highest average carbon dioxide emissions of 508.11 ppm, followed by location 2 with 477.31 ppm with the least emissions in location 1 with 472.51 ppm which are above the global carbon dioxide average of 414.7 ppm. The average methane emission was highest in location 1 with 0.1599 ppm (1599 ppb), followed by location 3 with 0.1366 ppm (1366 ppb) with the least average methane emission of 0.1358 ppm (1358 ppb) in location 2 which are slightly below the global methane average of 1895.7 ppb. The MQ-135 nitrous oxide sensor reported zero emissions data throughout the deployment at the various industry locations which indicated the nitrous oxides emission in the selected sample site is negligible or below the detectable range of the sensor.
Acute Myeloid Leukemia Multi-classification using Enhanced Few-shot Learning Technique
Authors: Venkatesh Kannan , Pasupathy S. , Raja S.P.
Published: December 2022

Acute Myeloid Leukemia (AML) is a form of the condition that is fatal and has a high mortality rate. It is characterised by abnormal cells growing rapidly inside the human body. The conventional method for detecting AML seems to be examining the blood sample manually under a microscope, which is a manual and cumbersome task that also requires well-trained medical expertise for efficient identification. On the other hand, considering medical diagnosis, the capacity to classify medical images faster and accurate is essential. The classification of medical images my currently be accomplished using a range of methodologies including Machine Learning (ML), Deep Learning (DL) and Transfer Learning (RL). While these approaches are effective for large datasets, they can take a while and~not ideal for small datasets. In recent years, advances in Deep Convolutional Neural Networks (DCNN) have made it possible and produce more accurate and promising outcome while processing a~medical image. However, the paradigm that DCNN~use for training includes a large number of annotations in order to prevent overfitting and produce promising results. Obtaining large-scale semantic annotations in clinical operations might be problematic in some cases, particularly biological expertise knowledge is needed. It is also regular occurrence in scenarios where only a small number of annotated classes are accessible in some circumstances. At this context, in order overcome the drawback of traditional approach a framework has been developed which comprises of Enhanced Few-Shot Learning Technique integrated Base Classifier (Feature Encoder)-EFLTBC. The proposed model has built using base classifier and meta-learning block, and it optimized the better results. To diagnose AML, the doctor must count the number of white blood cells and red blood cells and see if there are any abnormal health conditions in that using a microscope. However, obtaining an accurate result takes time and effort. To address these issues, the proposed Novel AML detection model employing is used in this study. Base classifier utilizing ResNet-18 pretrained model and meta learning block has computed using the average feature of every samples. Also, the dataset that we used consisting of three classes includes Normal monocytes, Abnormal monocytes, Lymphocyte and Experimental results outperform various existing deep learning technique with the accuracy of 97%, recall of 96.55% F1-Score of 96.65% and precision of 96.60.
Peculiarities of ULF wave characteristics in a multicomponent ionospheric plasma
Authors: Kotik Dmitriy , Orlova Ekaterina , Yashnov Vladimir
Published: December 2022

We have examined the properties of low-frequency electromagnetic waves in multicomponent ionospheric plasma in the 1–30 Hz band, using the magnetoionic theory. Complex permittivity tensor components and refractive indices of normal waves (ordinary and extraordinary) were calculated at altitudes from 80 to 750 km. The calculations show that the refractive indices are highly dependent on frequency and height. Polarization of ordinary and extraordinary waves is elliptical over the entire range of the frequencies investigated. The refractive index and the polarization of normal waves are demonstrated to tend to magnetohydrodynamic (MHD) values only at frequencies lower than 1 Hz. The group velocity vector of an extraordinary wave is not directed along the magnetic field, as follows from the MHD approximation, but it lies inside a cone within ±(5–10) degrees, depending on frequency. The group velocity vector of an ordinary wave is practically independent of the angle with the geomagnetic field as in the MHD approximation. The proposed method for calculating the characteristics of normal waves in the ionosphere can be used to study ULF wave propagation from both natural and artificial ionospheric sources, which arise under the action of powerful HF radio waves in the lower and upper ionosphere.
Optical effects of running spacecraft engines in the lower thermosphere
Authors: Mikhalev Aleksandr , Beletsky Aleksandr , Lebedev Valentin , Khakhinov Vitaliy
Published: December 2022

This paper provides a brief overview on optical effects during operation of spacecraft (SC) onboard engines in the lower thermosphere according to observational data from the ISTP SB RAS Geophyisical Observatory. We present the results of detected disturbances in the night airglow during operation of SC vernier engines in the F2-region of the ionosphere in the “Radar–Progress” space experiment. With weights of combustion products of ≤10 kg injected by SC vernier engines, the atmospheric emission of [OI] 630.0 nm atomic oxygen is enhanced. We also show optical effects from the launches and passages of heavy launch vehicles “Energiya” from the Skif-DM spacecraft on May 15, 1987 and “Proton-M” from the Yamal-601 spacecraft on May 30, 2019 from Baikonur in the zone far from the launch site. We explore the possibility of enhanced [OI] 557.7 nm atmospheric emission due to chemical modification of the ionosphere in the E-region during the flight of the Energiya space system.
Comparing methods to estimate cloud cover over the Baikal Natural Territory in December 2020
Authors: Podlesny Stepan , Devyatova Elena , Saunkin Andrey , Vasilyev Roman
Published: December 2022

The paper addresses the issue of how much cloud cover data obtained using satellite and model-interpolation techniques are suitable for monitoring the transparency of the atmosphere and determining conditions for airglow observations at a local geophysical observatory. For this purpose, we compared the temporal dynamics of cloud cover from ECMWF’s ERA5 reanalysis and NOAA satellites with the night atmosphere transparency according to a digital camera. We considered the dynamics of the addressed parameters at the Geophysical Observatory of the Institute of Solar-Terrestrial Physics, located in the Baikal Natural Territory near the village of Tory (Republic of Buryatia, Russia), during December 2020. The comparative analysis showed a generally good agreement between cloud cover data from ECMWF’s ERA5 climate reanalysis and those observed with the camera. Disadvantages are the lack of information on rapid variations in cloud cover in the reanalysis and positive and negative delays in the dynamics of cloud fields that last about two hours. Due to irregular satellite data, large time gaps between passes and difficulties in estimating cloud cover at night, we could not come to reliable conclusions concerning the applicability of satellite data.
Appearance of active regions at the end of solar cycle 24 and at the beginning of cycle 25
Authors: Grigoryev Victor , Ermakova Lyudmila , Khlystova Anna
Published: December 2022

The spatial-temporal picture of appearance of active regions and the relationship of their appearance with the structure and development of a large-scale magnetic field were studied during the transition from solar cycle 24 to 25. During this period, solar activity is low, and therefore the dynamics of a large-scale magnetic field in the appearance of new active regions is most noticeable. We have used SDO/HMI data on the longitudinal magnetic field to determine the time and heliographic coordinates of the origin of an active region, as well as daily WSO maps (Wilcox Solar Observatory) to compare with the structure of the large-scale magnetic field. We have obtained the following results. During the transition from one cycle to another, new active regions appeared in half of the cases in the polarity inversion line of the large-scale magnetic field, and almost exclusively at the Hale boundaries in the corresponding hemispheres and solar cycles. In other cases, the places of appearance were unipolar regions of the large-scale magnetic field without a clear advantage in the location of the field regions according to the Hale law. The formation of active regions is preceded or accompanied by changes in the structure of the large-scale magnetic field. At the same time, in the fine structure of the magnetic field in the photosphere we can observe an increase in the magnetic field network on a spatial scale of the size of supergranules and larger, as well as the appearance of small regions of a new magnetic field of both polarities. The appearing active regions were concentrated in two narrow longitudinal zones that covered both hemispheres of the Sun. The new cycle began in the same longitudinal zones, where the activity of the old cycle decayed.
Geomagnetic indices ASY-H and SYM-H and their relation to interplanetary parameters
Authors: Makarov Georgy
Published: December 2022

The dependences of the geomagnetic indices SYM-H and ASY-H on interplanetary parameters for the period from 1981 to 2015 according to their daily averages are studied. The study is carried out in two ways: the first — the entire data array is analyzed, the second — the data are divided into 9 activity groups in accordance with the average daily values of the planetary geomagnetic index Ap. A correlation analysis of the indices with the solar wind speed, magnitude, and the north-south component of the interplanetary magnetic field (IMF) has been performed. The search for a relationship between the ASY-H and SYM-H indices and interplanetary parameters turned out to be more successful when considering the entire data array than in the case of splitting the data into groups of magnetic activity. Regression equations relating ASY-H and SYM-H to interplanetary parameters are determined. It has been found that when describing the relationship between the ASY-H and SYM-H indices and the IMF north-south component, it is necessary to take into account the contribution of the IMF modulus.
Statistical relation of traveling ionospheric disturbances with neutral wind and disturbances in the stratosphere
Authors: Tolstikov Maksim , Oinats Aleksey , Artamonov Maksim , Medvedeva Irina , Ratovsky Konstantin
Published: December 2022

Using the representative statistics on traveling ionospheric disturbances (TIDs) obtained by Yekaterinburg and Magadan radars, we have shown that distributions of TIDs and average TID velocities by azimuths and local time agree well with the hypothesis on internal gravity wave (IGW) filtering by the neutral wind. We have examined the influence of significant winter sudden stratospheric warmings on IGW in the ionosphere. A method has been proposed for estimating zonal and meridional neutral wind velocities from MSTID parameters. The method is universal and allows us to estimate the zonal and meridional neutral wind velocities from the statistics on MSTID 2D phase velocity vector obtained by any tool. There is a large amount of data from which MSTID 2D phase velocity vector (as opposed to the 3D phase velocity vector) can be derived, including maps of TEC disturbances and all-sky camera images. This method may therefore be useful in developing and improving neutral wind models.
Wave activity of the mesosphere in the planetary wave range according to OH (3-1) emission observations at Maimaga and Tiksi stations for 2015–2020
Authors: Sivtseva Vera , Ammosov Petr , Gavrilyeva Galina , Ammosova Anastasiya , Koltovskoi Igor
Published: December 2022

The article compares the interannual variability of the atmosphere at the OH glow height, which can be associated with planetary wave propagation, at stations spaced in latitude. As a characteristic reflecting planetary wave activity we consider standard deviations of the average overnight temperature σpw from its monthly average after taking into account the seasonal variation. Joint mesopause temperature measurements at high latitudes at two optical stations Maimaga (63.04° N, 129.51° E) and Tiksi (71.58° N, 128.77° E) began in 2015. The stations are equipped with identical Shamrock (Andor) high image quality infrared spectrographs for registration of OH (3-1) in the near infrared region (~1.5 μm). The main result of studying the planetary wave activity during the 5-year period of simultaneous observations is that at Tiksi station it slightly (by about 1–2 K) exceeds that at Maimaga station. In average annual activity fluctuations, the presence of quasi-biennial oscillations is traced.
Comparing methods to estimate cloud cover over the Baikal Natural Territory in December 2020.
Authors: Podlesny Stepan , Devyatova Elena , Saunkin Andrey , Vasilyev Roman
Published: December 2022

The paper addresses the issue of how much cloud cover data obtained using satellite and model-interpolation techniques are suitable for monitoring the transparency of the atmosphere and determining conditions for airglow observations at a local geophysical observatory. For this purpose, we compared the temporal dynamics of cloud cover from ECMWF’s ERA5 reanalysis and NOAA satellites with the night atmosphere transparency according to a digital camera. We considered the dynamics of the addressed parameters at the Geophysical Observatory of the Institute of Solar-Terrestrial Physics, located in the Baikal Natural Territory near the village of Tory (Republic of Buryatia, Russia), during December 2020. The comparative analysis showed a generally good agreement between cloud cover data from ECMWF’s ERA5 climate reanalysis and those observed with the camera. Disadvantages are the lack of information on rapid variations in cloud cover in the reanalysis and positive and negative delays in the dynamics of cloud fields that last about two hours. Due to irregular satellite data, large time gaps between passes and difficulties in estimating cloud cover at night, we could not come to reliable conclusions concerning the applicability of satellite data.
Loneliness among surgical patients - measuring levels of loneliness using De Jong Gierveld Loneliness Scale and Revised UCLA Loneliness Scale
Authors: Pohrybieniuk Janina , Krotliński Antoni , Dusińska Aleksandra , Sokołowska Julia , Chabowski Mariusz
Published: December 2022

Objective: Loneliness is a state that most people will experience during their lifetime. In order to raise awareness of loneliness and its complexity, we attempted to measure the span of loneliness among the surgical patients hospitalized in the Department of Surgery in the 4th Military Teaching Hospital in Wroclaw. 

The aim of this study was to establish correlations between loneliness, measured using and four other variables: age, gender, nutritional state and quality of life of surveyed patients.

Material and methods: A total of 100 patients in the Surgery Department in the 4 th Military Teaching Hospital in Wroclaw, Poland, were enrolled.  The Mini-Nutritional Assessment (MNA) questionnaire was used to assess their nutritional status; the World Health Organization Quality of Life Scale (WHO-QoL-BREF) was used to assess their quality of life; the De Jong Gierveld Loneliness Scale (DJGLS) and Revised UCLA Loneliness Scale (R-UCLA) were used to assess their loneliness level.

Results:The WHO-QoL-BREF showed that patients’ quality of life (QoL) self-perception was between average and good, health self-perception was average as well. Lowest score of QoL was found in the physical domain whereas the highest was found in the social domain. The MNA showed that 8% of the study group was malnourished, 49% at risk of malnutrition

and 43% displayed a normal nutritional status. 49% of the study group experience loneliness during study by DJGLS. A significant positive correlation between loneliness status and QoL was observed in physical health self-perception (r=0,226, p=0,024). Negative correlation was found between loneliness and QoL in psychological, social and environmental domains (p<0,001).

 

Conclusions: Loneliness has a significant negative impact on the quality of life.Sex, age and nutritional status can not be predictors of patient’s loneliness.

More than half of patients were in a disturbing nutrition state.
The role of vitamin D in the human body and the benefits and risks of its supplementation
Authors: Dubel Julia , Namroży Natalia , Dubel Robert , Czekaj Aleksandra , Ruszel Kinga , Zdun Sylwia , Marciniak Agnieszka , Grzywna Natalia , Walczak Patrycja , Walczak Klaudia
Published: December 2022

The prevalence of vitamin D deficiency in society and the growing awareness of related health problems have resulted in the widespread use of vitamin D supplementation. The source of vitamin D is skin synthesis with the participation of ultraviolet radiation (UVB) and its supply with the diet. The inability to cover the daily requirement for vitamin D without an additional source of vitamin D means that the society most often reaches for dietary supplements that do not have the properties of a medicinal product. The use of over-the-counter supplements, where the actual dose of the vitamin may differ from the dose declared by the manufacturers, may result in a lack of benefit from the food product when the vitamin D content is too low or lead to hypervitaminosis when the content is too high.
PENGARUH MEDIA SOSIAL, KEPERCAYAAN, DAN PERSEPSI MANFAAT TERHADAP KEPUTUSAN PEMBELIAN ONLINE
Authors: Maisaroh Siti , Wibisono Totok
Published: December 2022

The purpose of this study was to analyze the influence of social media, trust, and perceived benefits to purchasing decisions on the Blibli.com online platform. The population of this study is consumers of the Blibli.com online platform in Indonesia. By using the purposive sampling method, this research used 96 consumers as a sample of respondents. The primary data from respondents are gathered by distributing a questionnaire to the respondent. The gathered data then was analyzed by using multiple regression analysis. The results of this study showed that Social media has an effect on Purchase Decisions, Trust has an effect on Purchase Decisions, and Perceived value has an effect on Purchase Decisions.
PENGARUH KUALITAS PRODUK TERHADAP KEPUTUSAN PEMBELIAN: PERAN MEDIASI KEPUASAN KONSUMEN
Authors: Sisrahmayanti Tia , Muslikh Muslikh
Published: December 2022

The study aims to determine whether customer satisfaction mediates the relationship between product quality and purchasing decisions (Study on Economics Faculty Students And Business Ekstansion Class in the YARSI University). The sampling technique of this study used the non-probability sampling method, which is the purposive sampling technique through distributing questionnaires to 100 respondents. The data analysis method was conducted in several statistical testing: the research instrument test (validity and reliability testing), descriptive analysis, classical assumption test, path analysis, and single test. The result of this study shows that: (1) product quality has a positive effect on purchasing decisions, (2) product quality has a positive effect on customer satisfaction, (3) customer satisfaction has a positive effect on purchasing decisions, (4) customer satisfaction mediates the effect of product quality on purchasing decisions.
ANALISIS KINERJA RANTAI PASOKAN MENGGUNAKAN METODE SUPPLY CHAIN OPERATION REFERENCE
Authors: Saptiadi Tommy , Koesdiningsih Nining
Published: December 2022

In recent years, supply chain performance meassurement has received a lot of attention from researchers and practitioners. Effective supply chain management is one of the potential ways to improve supply chain performance and competitive advantage. This study aims to determine the supply chain performance at PT. Bimandiri Agro Sedaya by using the  Supply Chain Operation Reference (SCOR) method analyzes the problems that occur in the company, then provides solutions to the problems to improve company performance. This study used a descriptive quantitative research method with the case study technique. Data collection techniques used structured and unstructured interviews with the human resource development members and observations to determine the supply chain condition. The secondary data obtained from the company were company reports and documentation. The results of this performance measurement obtained from the performance attributes in the SCOR are as follow: (1) Perfect Order Fulfillment (POF) with an actual result of 65,91% and a reference value of 80%, (2) Order Fulfillment Cycle Time (OFCT) with the duration of the supply chain process is by the company's target of 1 day, (2) Cost of Good Sold (COGS) of 65,09% still not appropriate with expectations with a reference target of 48% and (4) Cash to Cash Cycle Time (CTCCT) of 14 days still has not reached the company's target of 7 days.
Low anterior resection syndrome (LARS): what stoma care nurses need to know
Authors: Burch Jennie
Published: December 2022

Nurses involved in the care of people having a low anterior resection for rectal cancer need to recognise the potential consequences of cancer treatment. Treatment for rectal cancers can lead to several different consequences, including bowel dysfunction. Bowel changes are collectively termed low anterior resection syndrome (LARS). The nurse can assist in the care of patients with LARS by recognising what LARS is and how it might affect patients. Providing information about LARS can enable patients the opportunity to set realistic expectations of bowel function after stoma reversal. Nursing advice can include basic information on bowel-management strategies, such as dietary manipulation and the use of loperamide. If these initial management strategies are ineffective, there are other interventions that will require onward referral, such as to a biofeedback nurse. Improving bowel symptoms can improve quality of life for patients after rectal cancer treatment.
The gut–brain axis and the impact of probiotics on symptoms of depression: a review of the evidence
Authors: Vadaei Sima , Rahimi Neda , Soleimani Azar Abedi , Sarkoohi Zahra
Published: December 2022

Depressive and digestive disorders are both highly impactful and prevalent. Psychological and gastrointestinal health have been shown to be linked via the gut–brain axis. This link has led to the use of probiotics with the aim of treating depression- and anxiety-related conditions, including major depressive disorder. The efficacy of various probiotics for treating depression symptoms has been investigated in a number of studies on animal models and human subjects. Positive associations between probiotics and reduced depression have been linked to impacts on the immune system, mucosal health and a reduction in inflammation associated with the pathophysiology of depression. There are indications that probiotics may be a safe and effective therapeutic option in depression. This article explores this background and reviews the available evidence.
Gesture Analysis of Children with Special Needs in Solving Mathematics Problems
Authors: Mustafa Sriyanti , Baharullah Baharullah , Sari Vernita
Published: December 2022

Mathematics learning is essential for children with special needs (CSN). The process of learning mathematics at the CSN can be started from concrete to abstract. During the math learning process, many gestures are produced by CSN. Gestures can direct the individual to take and understand the implied meaning of any movement or facial expression. The problem formulated in this study is how the CSN gesture in learning mathematics and aims to describe the gesture produced by CSN during the mathematics study. The subject in this study was the CSN with an autistic category. Research is conducted by observing the mathematical learning process. This research uses a qualitative approach. Data is collected with an observation technique using an audio-visual camera and is subsequently analyzed qualitatively. The results showed that the fundamental characteristics of CSN in math learning could be seen from the gesture. Each gesture contains verbal meaning and can represent how they think they are in understanding mathematical problems. Another characteristic is indicated by repeated actions (gesture pointing repeatedly). This condition indicates the special attention and confidence of CSN toward the object being observed.
Size-dependent optical forces on dielectric microspheres in hollow core photonic crystal fibers: erratum
Authors: Seigo Kincaid Peter , Porcelli Alessandro , Ranha Neves Antonio Alvaro , Arimondo Ennio , Camposeo Andrea , Pisignano Dario , Ciampini Donatella
Published: December 2022

The beam shape coefficients for cylindrical vector modes are of great importance for other researchers to reproduce our results, however they were accidentally reported incorrectly in our recently published manuscript [Opt. Express 30(14), 24407 (2022)10.1364/OE.458674]. This erratum reports the correct form for the two expressions. Two typographical errors in auxiliary equations are also reported and two labels in particle time of flight probability density function plots are fixed.
Segmentation boundaries in accelerometer data of arm motion induced by music: Online computation and perceptual assessment
Authors: Mendoza Garay Juan Ignacio
Published: December 2022

Segmentation is a cognitive process involved in the understanding of information perceived through the senses. Likewise, the automatic segmentation of data captured by sensors may be used for the identification of patterns. This study is concerned with the segmentation of dancing motion captured by accelerometry and its possible applications, such as pattern learning and recognition, or gestural control of devices. To that effect, an automatic segmentation system was formulated and tested. Two participants were asked to ‘dance with one arm’ while their motion was measured by an accelerometer. The performances were recorded on video, and manually segmented by six annotators later. The annotations were used to optimize the automatic segmentation system, maximizing a novel similarity score between computed and annotated segmentations. The computed segmentations with highest similarity to each annotation were then manually assessed by the annotators, resulting in Precision between 0.71 and 0.89, and Recall between 0.82 to 1.
Comments on the article “Set of additions and changes to Check-list of the flora for the Republic of Buryatia between 2001 to 2020” about the flora of the Baikalsky Reserve
Authors: Gamova Natalya S.
Published: December 2022

This article analyzes the materials of the “Set of additions and changes to the check-list of the flora of the Republic of Buryatia from 2001 to 2020”. Corrections and comments are given on 50 species of higher vascular plants, both erroneously cited as novelties, and, on the contrary, absent from the original publication, regarding the territory of the Baikalsky State Nature Reserve and its buffer zone. Two taxa amongst omitted in the source material are included in the Red Data Book of the Russian Federation (Aconitum paskoi subsp. arcto-alpinum and Asplenium sajanense), and 10 species are alien for the flora of Buryatia (Achillea ptarmica, Alchemilla baltica, Atriplex sagittata, Carthamus tinctorius, Centaurea phrygia, Convolvulus inflata, Epilobium tetragonum, Persicaria maculosa, Setaria pumila, Sorghum halepense). Several plant species actually were firstly recorded for Buryatia earlier than the period from 2001 to 2020 or have been already known for this territory much earlier; Rhynchospora alba is one of such species, and it is included in the all the editions of the Red Data Books of the Republic of Buryatia. In some cases of references to early indications and herbarium collections, modern ideas about the taxonomy of groups and ranges of species are considered for clarification.
First record of the Himalayan endemic species Ainsliaea fulvipes (Asteraceae) from India
Authors: Panday Samiran , Dash Sudhansu , Vikas Kumar
Published: December 2022

The species Ainsliaea fulvipes Jeffrey et W. W. Sm. (Asteraceae) erstwhile considered as endemic to China is reported here first time from Zemithang, Arunachal Pradesh (India). Detailed descriptions, along with habitat photographs are provided to facilitate its easy identification.