bluuebunny/crossref_metadata_2025 huggingface dataset:
Associations between physical exercise patterns and pain symptoms in individuals with endometriosis: a cross-sectional mHealth-based investigation
Authors: Ensari Ipek , Lipsky-Gorman Sharon , Horan Emma N , Bakken Suzanne , Elhadad Noémie
Published: July 2022

Objectives

This study investigates the association of daily physical exercise with pain symptoms in endometriosis. We also examined whether an individual’s typical weekly (ie, habitual) exercise frequency influences (ie, moderates) the relationship between their pain symptoms on a given day (day t) and previous-day (day t-1) exercise.

Participants

The sample included 90 382 days of data from 1009 participants (~85% non-Hispanic white) living with endometriosis across 38 countries.

Study design

This was an observational, retrospective study conducted using data from a research mobile app (Phendo) designed for collecting self-reported data on symptoms and self-management of endometriosis.

Primary outcome measures

The two primary outcomes were the composite day-level pain score that includes pain intensity and location, and the change in this score from previous day (Δ-score). We applied generalised linear mixed-level models to examine the effect of previous-day exercise and habitual exercise frequency on these outcomes. We included an interaction term between the two predictors to assess the moderation effect, and adjusted for previous-day pain, menstrual status, education level and body mass index.

Results

The association of previous-day (day t-1) exercise with pain symptoms on day t was moderated by habitual exercise frequency, independent of covariates (rate ratio=0.96, 95% CI=0.95 to 0.98, p=0.0007 for day-level pain score, B=−0.14, 95% CI=−0.26 to −0.016, p=0.026 for Δ-score). Those who regularly engaged in exercise at least three times per week were more likely to experience favourable pain outcomes after having a bout of exercise on the previous day.

Conclusions

Regular exercise might influence the day-level (ie, short-term) association of pain symptoms with exercise. These findings can inform exercise recommendations for endometriosis pain management, especially for those who are at greater risk of lack of regular exercise due to acute exacerbation in their pain after exercise.
Whole-of-community interventions that address alcohol-related harms: protocol for a scoping review
Authors: Okeyo Ida , Walmisley Ulla , De Jong Michelle , Späth Carmen , Doherty Tanya , Siegfried Nandi , Harker Nadine , Tomlinson Mark , George Asha S
Published: July 2022

Introduction

Alcohol-related harm is a rising global concern particularly in low-income and middle-income countries where alcohol use fuels the high rates of violence, road traffic accidents and is a risk factor for communicable diseases such as HIV/AIDS and tuberculosis. Existing evidence to address alcohol-related harm recommends the use of intersectoral approaches, however, previous efforts have largely focused on addressing individual behaviour with limited attention to whole-of-community approaches. Whole-of-community approaches are defined as intersectoral interventions that are systematically coordinated and implemented across the whole community. The objective of this scoping review is to synthesise the existing literature on multisectoral, whole-of-community interventions which have been used to modify or prevent alcohol-related harms.

Methods and analysis

This scoping review will follow the six-step approach that involves; (1) identifying the research question, (2) identifying relevant studies, (3) selecting studies, (4) charting the data, (5) collating, summarising and reporting the results and (6) expert consultation. Published literature from 2010 to 2021 will be accessed through PubMed, Web of Science, CINAHL Plus and Scopus databases. Search terms will focus on the concepts of ‘interventions’, ‘community-based’, ‘harm reduction’ and ‘alcohol’. There will be no restrictions on the type of study methodology or country of origin. Title and abstract followed by full-text screening will be conducted by two reviewers to identify relevant articles based on the inclusion and exclusion criteria. Data from selected articles will be extracted and charted in Excel software. Findings will be analysed qualitatively and presented using the Preferred Reporting Items for Systematic Reviews and Meta-Analysis: Extension for Scoping Review.

Ethics and dissemination

This review makes use of published and publicly available data and no ethics approval is required. The results from this study will be disseminated via publication in peer-reviewed journals and presentations at relevant academic research fora and conferences.
Morphine for chronic breathlessness in COPD: improvement predictors-cross-sectional study
Authors: Verberkt Cornelia A , van den Beuken-Everdingen Marieke H J , Schols Jos M G A , Wouters Emiel F M , Janssen Daisy J A
Published: July 2022

Objective

Morphine is used as palliative treatment of chronic breathlessness in patients with chronic obstructive pulmonary disease (COPD). Part of the patients does not experience a clinically meaningful improvement of breathlessness and it is unclear which characteristics are related to a clinically meaningful improvement of breathlessness after morphine. Therefore, this study assessed whether sensory breathlessness description, demographic and clinical characteristics are related with this improvement.

Methods

Cross-sectional secondary analysis of the intervention arm of a randomised controlled trial. 45 patients with COPD and moderate-to-very severe chronic breathlessness despite optimal treatment received 20–30 mg oral sustained-release morphine daily for 4 weeks. Using binary logistic regression, the relationship between a clinically meaningful improvement in breathlessness (≥1 point on 0–10 numeric rating scale) and the baseline variables sensory breathlessness descriptors, age, breathlessness and body mass index (BMI) was assessed.

Results

Twenty-one participants (42%) showed a clinically meaningful improvement. Baseline breathlessness (OR 1.51, 95% CI 1.04 to 2.21, p=0.03) and BMI (OR 1.13, 95% 1.02–1.28, p=0.02) were significant associated to a clinically meaningful improvement of breathlessness, while age and sensory breathlessness descriptors were not.

Conclusions

Worse baseline breathlessness and higher BMI are associated to a clinically meaningful improvement of breathlessness in patients using 20–30 mg oral sustained-release morphine. Opioid treatment should be considered in patients with COPD with severe breathlessness, taking into account the patient’s BMI.
Care of the dying – medical student confidence and preparedness: mixed-methods simulation study
Authors: Wells Geoffrey , Llewellyn Carrie , Hiersche Andreas , Minton Ollie , Barclay David , Wright Juliet
Published: July 2022

Objectives

Of all doctors, Foundation Year 1 trainees spend the most time caring for dying patients yet report poor preparation and low confidence in providing this care. Despite documented effectiveness of simulation in teaching end-of-life care to undergraduate nurses, undergraduate medicine continues to teach this subject using a more theoretical, classroom-based approach. By increasing undergraduate exposure to interactive dying patient scenarios, simulation has the potential to improve confidence and preparedness of medical students to care for dying patients. The main study objective was to explore whether simulated experience of caring for a dying patient and their family can improve the confidence and preparedness of medical students to provide such care.

Methods

A mixed-methods interventional study simulating the care of a dying patient was undertaken with serial measures of confidence using the Self Efficacy in Palliative Care (SEPC) tool. Significance testing of SEPC scores was undertaken using paired t-tests and analysis of variance. Post-simulation focus groups gathered qualitative data on student preparedness. Data were transcribed using NVivo software and interpreted using Thematic Analysis.

Results

Thirty-eight 4th-year students participated. A statistically significant post-simulation increase in confidence was seen for all SEPC domains, with sustained confidence observed at 6 months. Focus group data identified six major themes: current preparedness, simulated learning environment, learning complex skills, patient centredness, future preparation and curriculum change.

Conclusion

Using simulation to teach medical students how to care for a dying patient and their family increases student confidence and preparedness to provide such care.
Exposure to parks through the lens of urban mobility
Authors: Salgado Ariel , Yuan Ziyun , Caridi Inés , González Marta C.
Published: July 2022

This work presents a portable framework to estimate potential park demand and park exposure through bipartite weighted networks. We use mobility information and open spatial information. Mobility information comes in the form of daily activities sampled from a model based on Call Detail Records (CDR). Spatial information comprise parks represented through OpenStreetMaps polygons and census tracts from the 2010 decennial US Census. The framework summarizes each city’s information into one bipartite weighted network with the link weights representing the number of potential visits to a park from each census tract on an average weekday.

We compare park exposure and park demand in Greater Los Angeles and Greater Boston in a pre-pandemic scenario. The park exposure of a census tract is calculated as the number of parks surrounding the daily activities of its inhabitants. The demand of a park is calculated as the number of daily activities surrounding it. We find that both cities’ distribution of park exposure have similar shape with Boston having a higher average. On the other hand, the distribution of park demand is very similar in both cities, although their park spatial distributions are different. We include racial/ethnic information from the Census to explore how the park exposure connects tracts of different racial/ethnic groups. We associate parks to racial/ethnic groups based on the number of visitors from each group. Parks within minorities’ tracts are mostly used by majority groups. Finally, through detecting communities in the network, we find that park exposure connects the cities locally, linking parks to their tracts nearby. Furthermore, we find a significant spatial correlation between network communities and different racial/ethnic composition in Los Angeles. This way, patterns of park exposure reproduce the separation among demographic groups of the city.
Evolution equations dynamical system of the Lemaître–Tolman–Bondi metric containing coupled dark energy
Authors: Blanquet-Jaramillo Roberto C. , Sussman Roberto A. , Granados Máximo A. Agüero , Izquierdo German
Published: July 2022

In this paper, we consider inhomogeneous spherically symmetric models based on the Lemaître–Tolman–Bondi (LTB) metric, assuming as its source an interactive mixture of ordinary baryonic matter, cold dark matter and dark energy with a coupling term proportional to the addition of energy densities of both dark fluids. We reduce Einstein’s field equations to a first-order seven-dimensional autonomous dynamical system of evolution equations and algebraic constraints. We study in detail the evolution of the energy density and spatial curvature profiles along the phase–space by means of two subspace projections: a three-dimensional projection associated with the solutions of the Friedman–Lemaître–Robertson–Walker metric (invariant subspace) and a four-dimensional projection describing the evolution of the inhomogeneous fluctuations. We also classify and study the critical points of the system in comparison with previous work on similar sources, as well as solving numerically the equations for initial energy density and curvature profiles that lead to a spherical bounce whose collapsing time we estimate appropriately.
On the condition that powers preserve noncentralness
Authors: Chen Hongying , Huang Juan , Kwak Tai Keun , Lee Yang
Published: July 2022

Jacobson investigated the structure of rings with the property that some power of each element is central, in the procedure of the study of commutativity. In this paper, we consider a class of rings in which this property occurs only for central elements, and such rings are called ppnc. We first prove that a noncommutative ppnc ring is infinite, and that a ppnc ring is commutative when it is a K-ring or a locally finite ring. We next study the structure of ppnc rings, and the relation between ppnc rings and related concepts (for example, K-rings, commutative rings and NI rings), through matrix rings, polynomial rings, right quotient rings and direct products.
Groups with iterated restrictions on conjugacy classes
Authors: Ferrara Maria , Trombetti Marco
Published: July 2022

Let [Formula: see text] be a group class (such as the class [Formula: see text] of all finite groups). Starting from [Formula: see text], we can define the class [Formula: see text] of all groups [Formula: see text] such that, for any [Formula: see text], the co-centralizer [Formula: see text] of [Formula: see text] in [Formula: see text] is an [Formula: see text]-group; of course, if [Formula: see text], these are the well-known [Formula: see text]-groups. Iterating this request, we define the class [Formula: see text] of groups whose co-centralizers are [Formula: see text]-groups, and so on. We generically refer to these groups as groups with [Formula: see text]-iterated conjugacy classes. Of course, if [Formula: see text] is quotient closed, then any group [Formula: see text] such that [Formula: see text], for some [Formula: see text], has [Formula: see text]-iterated conjugacy classes, and actually these concepts are almost always equivalent in the universe of linear groups. For [Formula: see text], this type of restrictions have recently been investigated, and the aim of this paper is to study the general theory of groups with [Formula: see text]-iterated conjugacy classes, paying particular attention to the case in which [Formula: see text] is the class [Formula: see text] of Černikov groups: we extend (and improve) results concerning groups with [Formula: see text]-iterated conjugacy classes. The main focus is on Sylow theory, serial subgroups and groups with many proper subgroups having [Formula: see text]-iterated conjugacy classes.
On the cohomology of pro-fusion systems
Authors: Díaz Ramos Antonio , Ocaña Oihana Garaialde , Mazza Nadia , Park Sejong
Published: July 2022

We prove the Cartan–Eilenberg stable elements theorem and construct a Lyndon–Hochschild–Serre type spectral sequence for pro-fusion systems. As an application, we determine the continuous mod-[Formula: see text] cohomology ring of [Formula: see text] for any odd prime [Formula: see text].
IS THERE A BETA ANOMALY? EVIDENCE FROM THE INDIA
Authors: KHANDELWAL VINAY , CHOTIA VARUN
Published: July 2022

This paper investigates the Indian equity market for the presence of a beta anomaly. A beta anomaly occurs when the additional market risk taken by an investor is not rewarded. Academic literature shows mixed evidence on whether the market rewards risk-takers or not for the additional risk taken. Using a sample of monthly returns of 265 companies during a period of 240 months from January 2000 to December 2019, the authors test the Indian equity market for the presence of an anomaly. A decile descriptive analysis shows a positive relationship between market risk and returns, and a negative relationship between company-specific risk and returns. A two-stage Fama–MacBeth (FMB) regression procedure is employed to empirically test for the relationship between beta and expected returns. The findings refute the presence of a beta anomaly in the Indian capital market. Also, the study concludes that a linear model of slope-intercept form is enough to explain the beta and expected returns’ relationship. The findings benefit investment managers and wealth advisors by explaining the market risk and expected returns relationship.
Research on Chinese Audio and Text Alignment Algorithm Based on AIC-FCM and Doc2Vec
Authors: Chen Keliang , Huang Jianming , Cui Yansong , Ren Weizheng
Published: July 2022

‘‘Audiobook” is a multimedia-based reading technology that has emerged in recent years. Realizing the alignment of e-book text and book audio is the most important part of its processing. This article describes an audio and text alignment algorithm using deep learning and neural network technology to improve the efficiency and quality of audiobook production. The algorithm first uses dual-threshold endpoint detection technology to segment long audio into short audio with sentence dimensions and recognizes it as short text. The threshold is calculated by AIC-FCM optimized based on simulated annealing genetic algorithm. Then the algorithm uses Doc2vec optimized by the threshold prediction method based on the average length of the short text to calculate the text similarity. Finally, proofread and output the text sequence and audio segment aligned in the time dimension to meet the needs of audiobook production. Experiments show that compared to traditional audio and text alignment algorithms, the proposed algorithm is closer to the ideal segmentation result in long audio segmentation, and the alignment effect is basically the same as Doc2vec and the time complexity is reduced by about 35%.
The Challenges of IoT, TLS, and Random Number Generators in the Real World
Authors: Hughes James P. , Diffie Whitfield
Published: July 2022

Many in the cryptographic community scoff at the mistakes made in implementing RNGs. Many cryptographers and members of the IETF resist the call to make TLS more resilient to this class of failures. This article discusses the history, current state, and fragility of the TLS protocol, and it closes with an example of how to improve the protocol. The goal is not to suggest a solution but to start a dialog to make TLS more resilient by proving that the security of TLS without the assumption of perfect random numbers is possible.
A Novel Cross-Network Embedding for Anchor Link Prediction with Social Adversarial Attacks
Authors: Wang Huanran , Yang Wu , Wang Wei , Man Dapeng , Lv Jiguang
Published: July 2022

Anchor link prediction across social networks plays an important role in multiple social network analysis. Traditional methods rely heavily on user privacy information or high-quality network topology information. These methods are not suitable for multiple social networks analysis in real-life. Deep learning methods based on graph embedding are restricted by the impact of the active privacy protection policy of users on the graph structure. In this paper, we propose a novel method which neutralizes the impact of users’ evasion strategies. First, graph embedding with conditional estimation analysis is used to obtain a robust embedding vector space. Secondly, cross-network features space for supervised learning is constructed via the constraints of cross-network feature collisions. The combination of robustness enhancement and cross-network feature collisions constraints eliminate the impact of evasion strategies. Extensive experiments on large-scale real-life social networks demonstrate that the proposed method significantly outperforms the state-of-the-art methods in terms of precision, adaptability, and robustness for the scenarios with evasion strategies.
Review—Radiation Shielding Properties of Tellurite and Silicate Glass
Authors: Juhim Floressy , Chee Fuei Pien , Awang Asmahani , Duinong Mivolil , Rasmidi Rosfayanti , Rumaling Muhammad Izzuddin
Published: July 2022

Silicate glass is one of the popular radiation shielding materials due to its abundance on Earth. However, due to fabrication simplicity, tellurite-based optical glass materials became the primary glass network forming, garnering great scientific and technological relevance for their future uses. Previous studies stated that the silicate and tellurite glass system might be employed in shielding applications, with metal oxide concentrations balanced with SiO2 and TeO2 content. The inclusion of SiO2 and TeO2 in the glass composition reduces the impact of radiation. In electron radiation, electron interaction activities with glass are more substantial in the low electron energy area. Meanwhile, the proton attenuation factors of the glass samples are smaller than the electrons. There is no discernible difference in the fast neutron effective removal cross-section (ΣR) values of the glass samples in neutron radiation. In the studies of tellurite glasses for gamma radiation shielding, the photon interaction parameters change as a function of material density. The measurements show that adding TeO2 to glass samples improved the gamma protection characteristics of the glasses. This review aims to explain the various material compositions and discuss a more in-depth analysis of radiation shielding properties in the silicate and tellurite glasses.
Impact of Personalized Recommendation on Today’s News Communication through Algorithmic Mechanism in the New Media Era
Authors: Liu Xin
Published: July 2022

In recent years, the continuous innovation of technology has greatly contributed to the great changes in the media industry. The rapid development of big data and artificial intelligence technologies has enabled people to transition from the era of new media to the era of intelligent media. While the automation of news production brings broad prospects for intelligent media, it also accelerates the challenge of information explosion. Facing the massive amount of news and information, how to get the information users want quickly has become a big problem. In order to solve the audience’s information anxiety, personalized news recommendation system is born. In fact, news gate-keeping is an important part of news distribution. In the era of smart media, algorithmic distribution has impacted the original distribution mode and brought challenges to news gate-keeping. Personalized news recommendation is one of the gate-keeping methods of intelligent media. At the same time, with the rapid development of the Internet and information technology, today’s society has entered a period of information explosion. In terms of news, the rapid development of the Internet has made it easier to publish and read news on the Internet. As a result, online news has become an important way for people to get information. However, the previous news websites had a large amount of news information, but only collected and consolidated the news. As a result, users were left to passively receive news information from news sites and find the content they needed. Consequently, although the Internet has a huge amount of complicated news information, it is unable to meet the diversified and personalized news needs of users. In order to solve this issue, researchers are constantly looking for solutions. The emergence of recommendation system is an effective measure to cope with the above problem. The mainstream models of recommendation systems are collaborative filtering model and content-based recommendation model. However, there are two essential problems with collaborative filtering. The first one is the cold start problem, and the second one is that the preference matrix of item users becomes sparse as the number of items and users grows. These two issues can seriously affect the recommendation accuracy of the recommendation system. As a result, a hybrid recommendation system is built by fusing common recommendation algorithms. This system can not only deliver personalized information to different users, but also compensate the shortcomings of a single algorithm to a certain extent. To be specific, the newly constructed hybrid recommendation system can push news of interest to users according to their demographic attributes, behavioral attributes, and interests, thus expanding the scope of news communication.
Entropy Analysis in Bidirectional Hybrid Nanofluid Containing Nanospheres with Variable Thermal Activity
Authors: Ahmad Iftikhar , Zan-Ul-Abadin Qazi , Faisal Muhammad , Loganathan K. , Javed Tariq , Gyeltshen Sonam
Published: July 2022

An investigation of the thermal performance of water‐conveying nanospheres (magnetite (Fe3O4) and silver (Ag)) subject to variable thermal controls, namely, variable surface temperature and variable surface normal heat flux, has been made. A bidirectionally elongating surface is used to generate an unsteady flow mechanism with the action of the Lorentz force. Derived equations of basic laws are firstly nondimensionalized and then numerically solved by applying the Keller‐Box method. The local Nusselt number for both the thermal cases is calculated and discussed. Percent‐wise enhancement in the rate of heat transport has also been included in the analysis. It was concluded through the present exploration that at lower volume fractions of magnetite and silver, the rate of heat transport is observed to be dominant. The rate of heat transference has attained identical values for both the provided thermal conditions at the surface. Moreover, intensities of velocity and thermal profiles diminish with the appreciation of the choice of unsteadiness. The temperature‐controlling indices also affect the thermal profile, and it is reduced with the intensification in the considerations of these indices. The values of thermal conductivity, density, and electrical conductivity have been improved with the inclusion of nanospheres (magnetite (Fe3O4) and silver (Ag)), whereas the value of specific heat is reduced with the mixture of these nanospheres. The Nusselt number is increased up to 5% with the involvement of magnetite nanospheres, and it is enhanced up to 4% with the involvement of silver nanospheres.
Cebpb Regulates Skeletal Stem Cell Osteogenic Differentiation and Fracture Healing via the WNT/β-Catenin Pathway
Authors: Wang Jiansong , Yang Chensong , Kong Fanyu , Zhang Zhi , Ji Shengchao , Sun Guixin
Published: July 2022

Fracture is the most common traumatic organ injury, and fracture nonunion is a critical clinical challenge. The research on the mechanisms of skeletal stem cell (SSC) differentiation and fracture healing may help develop new treatment strategies and improve the prognosis of patients at high risk of nonunion. Bioinformatic analysis of scRNA-seq data of mouse SSCs and mouse osteoprogenitors was applied to discover major transcription factors for the regulation of SSC differentiation. FACS was used to isolate SSCs prospectively. The expression of Cebpb, osteogenesis-related genes (Runx2, Sp7, and Bglap2), and markers for Notch, Hedgehog, MAPK, BMP2/SMAD, and WNT/β-catenin signaling pathways (Hes1, Gli1, p-Erk1/2, p-Smad1/5/9, and β-catenin) were detected in SSCs with qPCR or western blot, respectively. Alkaline phosphatase assay and alizarin red S staining were used to illustrate the osteogenic differentiation ability of SSCs in vitro. A WNT inhibitor, IWR-1, was further used to explore the mechanism of WNT signaling in the differentiation of SSCs. Micro-CT, mechanical testing, and immunohistochemistry of osteogenic and chondrogenic proteins (Sp7 and Col2α1) were used to demonstrate the capacity of Cebpb knockdown in promoting fracture healing in a monocortical defect model. We found that Cebpb was the crucial transcription factor regulating SSC differentiation. Inhibiting Cebpb in SSCs enhanced the expression of active β-catenin to promote the expression of WNT target genes, thus facilitating the osteogenic differentiation of SSCs. Bone mass, mechanical properties, and osteogenic protein expression were also increased in the Cebpb inhibition group compared to the group without Cebpb inhibition. Collectively, our results proved that Cebpb knockdown promotes SSC osteogenic differentiation and fracture healing via the WNT/β-catenin signaling pathway.
Efficacy and Safety Concerns with Sn-Mesoporphyrin as an Adjunct Therapy in Neonatal Hyperbilirubinemia: A Literature Review
Authors: Poudel Prakar , Adhikari Sudhir
Published: July 2022

Neonatal hyperbilirubinemia is a frequently observed clinical situation that, sometimes, may result in complications ranging from mild neurodevelopment impairment to serious outcome of kernicterus. The rationale logic of heme oxygenase enzyme inhibition to lower bilirubin levels is intriguing. In compliance with that rationale, metalloporphyrin was discovered. After successful results in in-vitro and animal studies, tin mesoporphyrin is now under phase II clinical trial to test for preventive and therapeutic efficacy in unconjugated hyperbilirubinemia. This review evaluates in-vitro studies, animal studies, and clinical trials for the efficacy and safety of tin analogues of metalloporphyrin. Few alternatives to metalloporphyrins are also available, synchronizing with the same rationale logic of inhibition of bilirubin production, which need further research.
Existence of Solution and Self‐Exciting Attractor in the Fractional‐Order Gyrostat Dynamical System
Authors: Marwan Muhammad , Ali Gauhar , Khan Ramla
Published: July 2022

This work identifies the influence of chaos theory on fractional calculus by providing a theorem for the existence and stability of solution in fractional‐order gyrostat model with the help of a fixed‐point theorem. We modified an integer order gyrostat model consisting of three rotors into fractional order by attaching rotatory fuel‐filled tank and provided an iterative scheme for our proposed model as a working rule of obtained analytical results. Moreover, this iterative scheme is injected into algorithms for a system of integer order dynamical systems to observe Lyapunov exponents and a bifurcation diagram for our proposed fractional‐order dynamical model. Furthermore, we obtained five equilibrium points, including four unstable spirals and one saddle node, using local dynamical analysis which acted as self‐exciting attractors and a separatrix in a global domain.
Study on Microscopic Water Flooding in Porous Carbonate Reservoirs by Numerical Simulation
Authors: Yu Tao , Li Baozhu , Hao Mingqiang , Song Benbiao
Published: July 2022

The study on the flow behaviors of oil and water two phases in porous media and their influencing factor is very important to adjust the porous carbonate reservoir development strategy and enhance the oil recovery. Based on the CT (computed tomography) scanning of real carbonate reservoir core sample, the micropore structure was reconstructed, and the effects of different factors (injection rate, oil-to-water viscosity ratio, and contact angle) and secondary development methods (higher injection rate and water displacement direction optimization) on the flow behavior of oil and water two phases were explored by numerical simulation in this paper. It is found from the study that the pores in the porous carbonate reservoirs have good structural connectivity. During the displacement process, the oil-water interface mainly resides at the pore throat junction with a large change of pore size, and the Haines jumps exist in the oil-water movement; the areal sweep efficiency of the water phase is jointly affected by the viscosity effect, interfacial tension, pore structure, and injection rate. Under the minimum injection rate and oil-to-water viscosity ratio, the maximum oil recovery can be obtained, and the oil recovery is 52.62% and 57.01%, respectively. The recovery efficiency and swept area are better in a water-wet system than oil-wet system. During the secondary development, the remaining oil is hardly displaced even with the injection rate increased by a factor of 50, and it shows improvement after 250 times of initial injection rate. Changing the position of water inlet and the produced fluid outlet results in better recovery since the remaining oil near the new inlet and outlet can be effectively produced.
Application Effect of the 6S Care Model in Sterilization in the Department of Stomatology and Its Impact on the Incidence of Nosocomial Infection
Authors: Lou Jing , Wang Guiqin , Jiang Man , Xu Guochao
Published: July 2022

Objective. The study aimed to explore the effectiveness of the 6S care model in sterilization in department of stomatology and its impact on the incidence of nosocomial infections. Methods. The infection surveillance indicators of the department of stomatology implementing the routine sterilization care model in 2019 were selected as the general group (including 140 patients and 140 cases of oral instrument kits for unpacking), and the infection surveillance indicators of the department of stomatology implementing the 6S care model in 2020 were selected as the 6S group (including 140 patients and 140 cases of oral instrument kits for unpacking). Analysis of the air culture qualification rate of the consultation room + operating room, medical equipment sterilization qualification rate, medical equipment damage rate, incidence of nosocomial infections, satisfaction of medical and nursing staff with instrument sterilization, and patient satisfaction with medical and nursing staff care services under different care models was carried out. Result. The air culture pass rate of the consultation room + operating room in the 6S group was 96.43% (135/140), which was higher than 90.00% (126/140) in the general group, and the difference between the two groups was statistically significant (

P
>
0.05

). The sterilization pass rate of medical devices in the 6S group was 100% (140/140), which was higher than 95.71% (134/140) in the general group, and the difference between the two groups was statistically significant (

P
>
0.05

). The medical device damage rate in the 6S group was 0.71% (1/140), which was lower than 7.14% (10/140) in the general group, and the difference between the two groups was statistically significant (

P
>
0.05

). The incidence of nosocomial infection in the 6S group was 0.71% (1/140), lower than 5.71% (8/140) in the general group, and the difference between the two groups was statistically significant (

P
>
0.05

). In the 6S care model, the satisfaction score of 38 healthcare workers with the disinfection of instruments was (96.55 ± 2.40), which was higher than that of the general group (87.79 ± 3.14), and the difference between the two groups was statistically significant (

P
>
0.05

). The total nursing satisfaction of the 6S group was 97.86% (137/140), which was higher than 91.43% (128/140) of the general group, and the difference between the two groups was statistically significant (

P
>
0.05

). Conclusion. The application of the 6S care model in the sterilization of the department of stomatology can significantly improve the passing rate of infection monitoring indicators in the department of stomatology, reduce the occurrence of medical device damage and nosocomial infection, and have high satisfaction among doctors and patients, which has the value of promotion.
Effect Analysis of Degranulated Cell in Early Fertilization on FET Outcome and Offspring Safety with Data Mining
Authors: Li Qingyang , Zhao Li , Zhou Liling , Liu Rongju , Chen Bo
Published: July 2022

In vitro fertilization and embryo transfer is one type of assisted reproductive technology, although the technology is now more mature. Many factors, however, will have an impact on oocyte fertilization, embryo growth, pregnancy outcome, and child safety due to the journey from clinical to the laboratory. The influence of degranulated cells early in fertilization on frozen embryo transfer (FET) results is investigated in this study. This article analyzes 255 patients who underwent in vitro fertilization (IVF) and FET transplantation at the author’s central unit from January 1, 2015, to June 30, 2021. Among them, IVF-assisted conception is the early degranulation of homologous oocyte fertilization. Correlation analysis is performed by observing the embryonic outcome of the early degranulation group and the overnight fertilization group and the clinical outcome after FET. Through data mining analysis, the results show that the polyfertilization rate and 0PN rate for the early degranulation group are significantly higher than the overnight fertilization group (9.87% vs. 8.24% and 3.14% vs. 1.69%). In terms of normal fertilization rate, there is no significant difference between D3 high-quality embryo rate and D5 high-quality blastocyst rate (64.07% vs. 65.15%, 27.5% vs. 26.5%, and 15.97% vs. 17.35%). There is no significant difference in the complete recovery rate of embryos after thawing (93.24% vs. 93.46%), and the implantation rate, clinical pregnancy rate, abortion rate, and live birth rate are not significantly different between the two groups after FET. The offspring outcomes of singletons do not differ significantly between the two groups; however, twins born early degranulate have much greater rates of ultralow birth weight and ultrapreterm children than twins born overnight fertilization (14.29% vs. 0). Therefore, it can be concluded that degranulation of cells early in fertilization is a desirable method to prevent fertilization disorders. However, under the premise of ensuring that no fertilization disorder occurs, it is not appropriate to degranulate all the oocytes of the patient at the early stage of fertilization.
[Retracted] Prevalence and Correlation of Metabolic Syndrome in Patients with Bipolar Disorder in NGHA, Riyadh
Authors: Alanazi Asma , Alsadhan Saud , Aldosari Sultan , Alharbi Abdullah , Albawardi Mohammed , Alrabah Saud , Alhawas Haifa , Albalawi Maram
Published: July 2022

Background. Metabolic syndrome is considered dangerous, especially to patients that are diagnosed with a mental condition such as bipolar disorder, since these types of patients can be difficult to deal with. Metabolic syndrome can lead to multiple cardiovascular diseases, strokes, and diabetes. A careful approach is important when it comes to facing a complex condition such as this. This research will contribute to giving more information about the prevalence and statistics of metabolic syndrome in bipolar disorder patients at NGHA, Riyadh. No published study in literature has investigated the prevalence of metabolic syndrome in patients with bipolar disorder in NGHA, Riyadh. Methods. The study was conducted among 191 adult male (66) and female (125) patients at NGHA, Riyadh. The medical records were used for the assessment of metabolic syndrome and referrals by using a chart review for individuals. The main variables are metabolic syndrome and bipolar disorder. It was conducted on both males and females. Data was collected on data collection form and further analysis on relations was made by using SAS (Version 9.4). Chi‐squared test and the Wilcoxon Two‐sample test for two‐level continuous variables. P ≤ 0.05 was determined to be the significance level. Results. Out of 191 patients, 130 were obese, 85 had diabetes, and 89 were hypertensive. Additionally, 50 (40%) females and 29 (43.9%) males had metabolic syndrome, a total of 79 (41.4%) out of 191. Conclusion. The findings of this study indicate that there is an elevated prevalence of metabolic syndrome in bipolar disorder patients in NGHA, Riyadh. Highlighting the potential danger that people may not be aware of.
On-the-Spot Decision-Making System of Basketball Game Based on Data Mining Algorithm
Authors: Ma Dehou
Published: July 2022

Modern competitive basketball has developed into a skilled international competitive sport. The situation in basketball is changing rapidly. At the same time, tactics are one of the main factors affecting game performance in athletic basketball. Whether the athletes successfully use the techniques and tactics in the game or not will often become the decisive factor for the outcome of the game. Therefore, it is essential to grasp the situation of basketball games, to study the technical and tactical rules of basketball competitive games, and to provide scientific support for the daily technical and tactical training of competitive basketball and technical and tactical decision-making during the game, which is an important way to improve the level of basketball competition in China. As a decision support technology, data mining plays an important role in decision support systems. This decision-making method is closely related to the amount of data, the way of organization, and the structure of the organization. Based on this, this study studies the improved Bayesian algorithm classification algorithm in data mining, and it also reorganizes and restructures the large, intricate, and unorganized data from the database of the system according to the decision-making demand. After a series of data processing processes are completed, the latest data organization mode is obtained, and new data correlation information is found from it, by finding the relevance of knowledge in the decision support system of the database-based relational database management system, and presenting the implicit structural information in the data to provide users with more accurate decision-making information. Finally, in the investigation and analysis of the on-site decision-making system of basketball games, it is found that 48% of sport coaches think it is very helpful, indicating that the system has merit.
Auxiliary Pneumonia Classification Algorithm Based on Pruning Compression
Authors: Yang Chao-Peng , Zhu Jian-Qing , Yan Tan , Su Qiu-Ling , Zheng Li-Xin
Published: July 2022

Pneumonia infection is the leading cause of death in young children. The commonly used pneumonia detection method is that doctors diagnose through chest X-ray, and external factors easily interfere with the results. Assisting doctors in diagnosing pneumonia in patients based on deep learning methods can effectively eliminate similar problems. However, the complex network structure and redundant parameters of deep neural networks and the limited storage and computing resources of clinical medical hardware devices make it difficult for this method to use widely in clinical practice. Therefore, this paper studies a lightweight pneumonia classification network, CPGResNet50 (ResNet50 with custom channel pruning and ghost methods), based on ResNet50 pruning and compression to better meet the application requirements of clinical pneumonia auxiliary diagnosis with high precision and low memory. First, based on the hierarchical channel pruning method, the channel after the convolutional layer in the bottleneck part of the backbone network layer is used as the pruning object, and the pruning operation is performed after its normalization to obtain a network model with a high compression ratio. Second, the pruned convolutional layers are decomposed into original convolutions and cheap convolutions using the optimized convolution method. The feature maps generated by the two convolution parts are combined as the input to the next convolutional layer. Further, we conducted many experiments using pneumonia X-ray medical image data. The results show that the proposed method reduces the number of parameters of the ResNet50 network model from 23.7 M to 3.455 M when the pruning rate is 90%, a reduction is more than 85%, FIOPs dropped from 4.12G to 523.09 M, and the speed increased by more than 85%. The model training accuracy error remained within 1%. Therefore, the proposed method has a good performance in the auxiliary diagnosis of pneumonia and obtained good experimental results.
Feature Extraction and Recognition of Human Physiological Signals Based on the Convolutional Neural Network
Authors: Hurr Chansol , Li Caiyan , Li Heng
Published: July 2022

Human physiological signal processing is one of the research fields widely used in recent years. Research on human physiological signals plays a vital role in predicting human health and detecting and classifying certain disease outbreaks. The network of human physiological signals is difficult to determine because it contains a lot of information about human activities. To this end, a variety of feature extraction, feature selection, and classification algorithms have been implemented in the anomaly prediction process. However, it has the main disadvantage of classification results, using a large number of features and increasing complexity. In order to solve these problems, this paper proposes a convolutional neural network-based extraction technique for human physiological signal features and uses an MPL classifier to detect whether the ECG signal is normal or not, taking the ECG signal as an example. In this paper, the signal preprocessing method based on wavelet transform and morphological filtering is adopted, and the high-frequency signal is removed by wavelet transform, and the low-frequency signal is removed by morphological filtering. A wide range of tests on ECG signals obtained from the MIT-BIH-AR databank and INCART database showed that the method has good detection performance with sensitivity Sen = 99.54%, positive prediction rate PPR = 99.65%, detecting mistake ratio DER = 0.35% and precision Acc = 99.55%, which is an improved performance compared to other techniques, proving the superiority of the present technique.
Influence of Methods of Nanomaterial Testing on Product Supply and an IoT‐Based Solution for Making a Perfect Choice
Authors: Nagarathi D. K. , Ramya V. , Parthiban Latha , Asres Yalew
Published: July 2022

Human ear is equivalent to nanomaterials as it has nonporous membrane which decides the hearing ability. The water content and its movements in that tectorial gel membrane are controlled by nanoscale pores. Apart from many disease threats and the age and other issue‐related disabling hearing impairment, loss of sensitiveness of nanomaterial, namely, nanopored tectorial gel membrane, is a serious issue. Appropriate supplement must be provided to compensate age‐related hearing loss by measuring some innovation methods. The test for hearing loss and cost of hearing aid are another threat. Many studies reported that people do not feel comfortable with their hearing aid and avoided to use it after purchase. The telephonic survey was conducted at Tamil Nadu, India region, which discloses that the hearing aid center is doing continuous motivation over the phone to wear hearing aid after purchase; many people do not turn back for even battery purchase. Very rare people report for free service too. This piece of research is aimed at analysing the root cause of not wearing hearing aid and addressing various possibilities to support them with IoT‐based solution requirement to discard this issue. The two kinds of test were conducted for the same patient, and hearing aid was provided to give supplement to compensate sensitiveness loss of tectorial gel membrane. Their effectiveness was measured and analysed scientifically. The Taguchi method was incorporated to formulate the experiments with the natural cases like age, gender, and method of testing the nanomaterial, namely, nanopored tectorial gel membrane sensitiveness (hearing loss/or hearing ability) and existing nature of sensitiveness (severe loss and minor loss) at 2 levels. The observations were analysed with Taguchi analysis and discussed. An integrated solution of IOT‐based measuring system was discussed to rid the issues.