bluuebunny/crossref_metadata_2025 huggingface dataset:
Multispecialty multidisciplinary input into comorbidities along with treatment optimisation in heart failure reduces hospitalisation and clinic attendance
Authors: Essa Hani , Walker Lauren , Mohee Kevin , Oguguo Chukwuemeka , Douglas Homeyra , Kahn Matthew , Rao Archana , Bellieu Julie , Hadcroft Justine , Hartshorne-Evans Nick , Bliss Janet , Akpan Asangaedem , Wong Christopher , Cuthbertson Daniel J , Sankaranarayanan Rajiv
Published: July 2022

Aims

Heart failure (HF) is associated with comorbidities which independently influence treatment response and outcomes. This retrospective observational study (January 2020–June 2021) analysed the impact of monthly HF multispecialty multidisciplinary team (MDT) meetings to address management of HF comorbidities and thereby on provision, cost of care and HF outcomes.

Methods

Patients acted as their own controls, with outcomes compared for equal periods (for each patient) pre (HF MDT) versus post-MDT (multispecialty) meeting. The multispecialty MDT comprised HF cardiologists (primary, secondary, tertiary care), HF nurses, nephrologist, endocrinologist, palliative care, chest physician, pharmacist, clinical pharmacologist and geriatrician. Outcome measures were (1) all-cause hospitalisations, (2) outpatient clinic attendances and (3) cost.

Results

334 patients (mean age 72.5±11 years) were discussed virtually through MDT meetings and follow-up duration was 13.9±4 months. Mean age-adjusted Charlson Comorbidity Index was 7.6±2.1 and Rockwood Frailty Score 5.5±1.6. Multispecialty interventions included optimising diabetes therapy (haemoglobin A1c-HbA1c pre-MDT 68±11 mmol/mol vs post-MDT 61±9 mmol/mol; p<0.001), deprescribing to reduce anticholinergic burden (pre-MDT 1.85±0.4 vs 1.5±0.3 post-MDT; p<0.001), initiation of renin–angiotensin aldosterone system inhibitors in HF with reduced ejection fraction (HFrEF) with advanced chronic kidney disease (9% pre vs 71% post-MDT; p<0.001). Other interventions included potassium binders, treatment of anaemia, falls assessment, management of chest conditions, day-case ascitic, pleural drains and palliative support. Total cost of funding monthly multispecialty meetings was £32 400 and resultant 64 clinic appointments cost £9600. The post-MDT study period was associated with reduction in 481 clinic appointments (cost saving £72150) and reduced all-cause hospitalisations (pre-MDT 1.1±0.4 vs 0.6±0.1 post-MDT; p<0.001), reduction of 1586 hospital bed-days and cost savings of £634 400. Total cost saving to the healthcare system was £664 550.

Conclusion

HF multispecialty virtual MDT model provides integrated, holistic care across all healthcare tiers for management of HF and associated comorbidities. This approach is associated with reduced clinic attendances and all-cause hospitalisations, leading to significant cost savings.
The protective effect of muscimol against systemic inflammatory response in endotoxemic mice is independent of GABAergic and cholinergic receptors
Authors: Li Ya-Hui , Hsu Dur-Zong , Liu Chuan-Teng , Chandrasekaran Victor Raj Mohan , Liu Ming-Yie
Published: July 2022

Systemic inflammatory response syndrome plays an important role in the development of sepsis. GABAergic and cholinergic pathways activation are considered important for inflammatory response regulation. Tumor necrosis factor (TNF)-α, interleukin (IL)-1β, IL-12, IL-10, as well as inducible nitric oxide synthase (iNOS)-derived nitric oxide (NO) are important inflammatory mediators involved in the pathogenesis of sepsis. Muscimol, an active compound from the mushroom Amanita muscaria (L.) Lam., is a potent GABAA agonist, inhibits inflammatory response via activating GABAA receptor and vagus nerve. However, the effect of muscimol on lipopolysaccharide (LPS)-induced systemic inflammatory response is still unclear. Therefore, we studied the effects of muscimol on systemic inflammatory response and survival rate in endotoxemic mice. Mice endotoxemia was induced by LPS. Muscimol was given to mice or RAW264.7 cells 30 min before LPS (10 mg/kg, i.p., or 10 ng/mL, respectively). Mice received GABAergic and cholinergic receptor antagonists 30 min before muscimol and LPS. Muscimol decreased TNF-α, IL-1β, IL-12, iNOS-derived NO, and increased IL-10 levels and survival rate after LPS treatment. Muscimol significantly decreased nuclear factor kappa B (NF-κB) activity, increased IκB expression, and decreased pIKK expression in LPS-treated RAW264.7 cells. GABAergic and cholinergic antagonists failed to reverse muscimol’s protection in LPS-treated mice. In conclusion, muscimol protected against systemic inflammatory response in endotoxemic mice may be partially independent of GABAergic and cholinergic receptors.
Effects of decreasing photoperiod on cold acclimation of asparagus seedlings
Authors: Short William , Wolyn David J.
Published: July 2022

Cold acclimation is a vital process for surviving subzero temperatures in asparagus ( Asparagus officinalis L.). A winter hardy cultivar, “Guelph Millennium” (GM), cold acclimates, senesces, and develops freezing tolerance earlier in the fall compared to “UC157” (UC), a cultivar adapted to warm climates. Decreasing photoperiod can induce timely senescence and freezing tolerance in both woody and herbaceous perennials, although its effects on asparagus are unclear. The objectives of this research were to study the effects of daylength and cold, and their interaction, on the induction of freezing tolerance in asparagus. Seedlings of GM and UC were subjected to four treatments: constant (15.5 h) or decreasing (15.5–14 h) photoperiods with either high (23 °C) or low (11 °C) temperatures. Decreasing daylengths did not impact the acquisition of freezing tolerance at either temperature. For UC, low temperature accompanied by decreasing photoperiod diminished root:shoot ratio and increased crown water percentage, which are both indicators of reduced dormancy. A decreasing photoperiod and high temperature increased crown fructan (total and high-molecular weight) and decreased glucose and proline concentrations in GM compared to UC. These results suggest that decreasing daylengths, similar to those occurring in late summer in Southern Ontario, may be a signal for crown metabolite partitioning. This effect may be a contributing factor to the timely senescence and cold acclimation seen in GM compared to UC.
How much is the compositeness of a bound state constrained by a and $$r_0$$? The role of the interaction range
Authors: Song Jing , Dai L. R. , Oset E.
Published: July 2022

We present an approach that allows one to obtain information on the compositeness of molecular states from combined information of the scattering length of the hadronic components, the effective range, and the binding energy. We consider explicitly the range of the interaction in the formalism and show it to be extremely important to improve on the formula of Weinberg obtained in the limit of very small binding and zero range interaction. The method allows obtaining good information also in cases where the binding is not small. We explicitly apply it to the case of the deuteron and the$$D^{*}_{s0}(2317)$$Ds0∗(2317)and$$D^{*}_{s1}(2460)$$Ds1∗(2460)states and determine simultaneously the value of the compositeness within a certain range, as well as get qualitative information on the range of the interaction.
Photoconductivity on K-feldspar
Authors: Uzorka Afam
Published: July 2022

In the development of most phenomenological models used to explain the infrared excited luminescence, a major assumption is usually made in the degree of freedom the excited charge has. One of the two extremes is normally assumed: charge is free to move anywhere over the whole crystal, or it is confined close to the trap and the centers immediately adjacent to it. Determining which of these extremes is more reasonable is difficult to do on the basis of the temporal behavior of the luminescence intensity alone. However, this assumption has important consequences for the understanding of the dynamics of the luminescence process because of the difference in the number of recombination and trapping centers available to the excited charge. Additional experimental evidence was thus sought on this aspect of charge movement. One such experiment is the detection of photoconductivity in which an electrical current is measured during optical excitation or shortly there-after. In this paper, the details of photoconductivity experiments on K crystal are presented.

Photoconductivity measurements were inconclusive as to whether or not there was a current flowing during the 850 nm excitation of a feldspar sample. However, there was a clear current when exciting the same sample with 515 nm light, but there was a complex relationship between the magnitude of the current and the number of emission photons counted. A model was developed to explain the photoconductivity results where electrons migrate through the conduction band aided by thermal excitation and tunneling.
Advanced graphene nanosheets approaches to efficient solar thermal water purification system
Authors: Javed Hafiz Muhammad Asif , Khan M. Ijaz , Ahmed Arslan , Hassan Bilal , Nisar M. Zubair , Zahid Komal , Shahid Arslan , Liaqat M. Javed , Alharbi Khalid Abdulkhaliq M. , Awais Muhammad , Mustafa M. Salman
Published: July 2022

Water pollution is destroying natural resources and the water scarcity is the biggest challenge for scientist. Cleaning of water by using solar energy is an eco-friendly, economical and a long-term approach for water scarcity and pollution. Recently, graphene oxide (GO) achieved great interest due to its excellent physical and chemical properties. Graphene meets the requirements of excellent porousness, enhanced light absorption, and high photothermal transductions, which can be used to attain efficient production of clean water. In this work, advanced graphene nanomembranes have been used for the efficient production of clean water by utilizing solar thermal energy. In this context, synthesis of graphene is important for research and industrial applications. The graphene nanomembranes were prepared via a chemical exfoliation approach, which included the chemical oxidation of the graphite powder followed by utilization of concentrated sulfuric acid and nitric acid. Oxidized graphite powder was thermally annealed at [Formula: see text]C for 60 min to synthesize graphene oxide (GO). Chemical reduction of GO with H2O2led to formation of rGO. Moreover, scanning electron microscopic (SEM) results confirm that the rGO layer of about 70 nm has been synthesized. X-ray diffraction, EDX, and UV–Vis spectroscopic investigations demonstrated the crystallinity, elemental composition, and absorbance of the synthesized material, respectively. Furthermore, graphene nanomembranes have achieved an average water evaporation rate of 6.26 kg m[Formula: see text] h[Formula: see text] under 4 sun illumination with an efficiency of 94.1%.
Entanglement and atomic inversion for two two-level atoms interacting with an intensity-dependent quantized field
Authors: Nahla Abdallah A. , Abo-Kahla D. A. M. , Raddadi M. H.
Published: July 2022

Our aim is to present an analytical solution for the quantum optics model that has two two-level atoms interacting together and interacting with an intensity-dependent quantized field. The quantized field is initially in binomial state and based on the Lamb–Dicke parameter and associated Laguerre polynomials. While two atoms are symmetric and initially in superposition state. Besides, the quantum entanglement between the quantum system components under the effect of the parameters of detuning, coupling, binomial, Lamb–Dicke and the initial state of the model is discussed. Several phenomena have been clearly observed and analyzed, such as entanglement sudden death (ESD) followed by entanglement sudden birth (ESB) in the concurrence and the negativity curves, and long-lived quantum coherence in the von Neumann entropy curve. In addition, the presence of revivals and collapses in the atomic population inversion curves has been figured out. Our analysis aims to help the scientists to determine the critical values required of quantum system parameters to control entanglement dynamics.
deGraphCS
: Embedding Variable-based Flow Graph for Neural Code Search
Authors: Zeng Chen , Yu Yue , Li Shanshan , Xia Xin , Wang Zhiming , Geng Mingyang , Bai Linxiao , Dong Wei , Liao Xiangke
Published: July 2022

With the rapid increase of public code repositories, developers maintain a great desire to retrieve precise code snippets by using natural language. Despite existing deep learning-based approaches that provide end-to-end solutions (i.e., accept natural language as queries and show related code fragments), the performance of code search in the large-scale repositories is still low in accuracy because of the code representation (e.g., AST) and modeling (e.g., directly fusing features in the attention stage).

In this paper, we propose a novel learnable
de
ep
G
raph for
C
ode
S
earch (called

deGraphCS

) to transfer source code into variable-based flow graphs based on an intermediate representation technique, which can model code semantics more precisely than directly processing the code as text or using the syntax tree representation. Furthermore, we propose a graph optimization mechanism to refine the code representation and apply an improved gated graph neural network to model variable-based flow graphs. To evaluate the effectiveness of

deGraphCS

, we collect a large-scale dataset from GitHub containing 41,152 code snippets written in the C language and reproduce several typical deep code search methods for comparison. The experimental results show that

deGraphCS

can achieve state-of-the-art performance and accurately retrieve code snippets satisfying the needs of the users.
Ag-rGO Nanocomposite as an Efficient Electrochemical Sensor for Thiourea
Authors: Shafi Murtaza , Bahader Ali , Gul Fazal Suhrab , khan Alamgir , Habibullah  , Khan M. Irshad , Farooqi Kamran
Published: July 2022

The nanofabrication of composites-based sensor can be routinely seen in the research literature, but high price restricts its use on a wider scale in the developing world for establishing sustainable society. Iraj Jodan Synthesized Ag-nanoparticles and alizarin yellow polymer based electrochemical sensor for thiourea detection. Alizarin yellow polymer provide stability, chemical attachment on the electrode surface but it is toxic to lungs, mucous membranes, and can cause organs damage by continuously disclosure to it.1 For solving this problem, r-GO has pasted on electrode surface that provided excellent conduction as well as large surface area and had excellent sensitivity and low detection limit toward TU. Herein, this theme is materialized for the detection of thiourea (TU). Briefly, reduced graphene (r-GO) sheets with silver (Ag) nanoparticles impregnated were prepared via hydrothermal and chemical reduction method. The synthesized nano-composite material was characterized by various physiochemical techniques like FTIR, XRD, SEM and Cyclic Voltammetry (CV) and applied as synthesized for the detection and sensing of TU, a well-known carcinogen. The Ag-rGO changed electrode enhanced approximately three times greater anodic current as compared to rGO and five times greater anodic current as compare to GCE. Electrically and catalytically oxidation TU was achieved by GCE, GO, rGO and Ag-rGO at 0.2 V to 0.25 V applying cyclic voltammetry (CV). The concentrations were used 10 μM to 50 μM, while the current at anode increased as the concentration increased. The rGO and Ag-rGO also planned at various concentrations. The anodic current is increased by increasing scan rate of 20, 40, 60, 80 and 100 mV s−1. So it could be used for recognition of TU in real time sample with good sensitivity, stability and reproducibility.
Superhydrophobic, Oleophobic, Self-Cleaning Flexible Wearable Temperature Sensing Device
Authors: Chen Chen-Han , Tsai Ting-Wei , Cheng I-Chun , Chen Jian-Zhang
Published: July 2022

We use a poly(3,4-ethylenedioxythiophene):poly(styrenesulfonate) (PEDOT:PSS)/carbon nanotube (CNT) composite as the temperature sensing layer, and the device exhibited a high sensitivity of −2.46%/°C. A sandpaper-molded PDMS with fluorinated surface modification protection layer is used as the superhydrophobic, oleophobic, self-cleaning protective encapsulation layer. This device exhibits a self-cleaning function when it makes contact with liquids such as water, tea, coffee, and milk. In addition, the surface can also repel liquids with low surface tension (such as oil), exhibiting good oleophobicity. Resistance to ultrasonication in an organic solvent for 120 min and a 400-cycle tape peel test reveal durability of this device. The device functions under similar conditions after 1000 bending cycles with a bending radius of 0.875 mm. In this work, we demonstrate a simple and low-cost technique to fabricate durable and wearable temperature sensing devices.
Comparison of Accelerated and Standard Corneal Collagen Cross-Linking Treatments in Experimental Fungal Keratitis for Aspergillus fumigatus
Authors: Wei Anji , Zhao Zhennan , Kong Xiangmei , Shao Tingting
Published: July 2022

Introduction. To compare accelerated and standard corneal collagen cross-linking (CXL) treatments in experimental Aspergillus keratitis models. Methods. Twenty-six New Zealand rabbits were divided into two groups: a 1% voriconazole combined with standard CXL group, and a 1% voriconazole combined with accelerated CXL group. The ulcer area, corneal opacity, and corneal neovascularization score were measured via slit-lamp imaging, and the corneal and corneal epithelial thickness and ulcer depth were measured via anterior segment optical coherence tomography (AS-OCT). The duration of the hyphae was observed via in vivo confocal microscopy (IVCM), and the cornea was taken for pathological examination after modeling and at the end of the study to determine the hyphae and corneal repair. The observation times were as follows: at successful modeling (day 0) and at 1, 4, 7, 14, 21, and 28 days after the intervention. Results. The area and depth of the ulcer decreased in both groups after CXL (all

P
<
0.05

). Interestingly, the ulcer area in the accelerated CXL group still tended to increase on the first day after CXL although the difference was not statistically significant (

P
=
0.6649

). On the 21st and 28th days after CXL, the ulcer area and depth of the standard CXL group were larger and deeper than those of the accelerated CXL group (all

P
<
0.05

). The ulcer healing time in the accelerated CXL group was 18.67 ± 6.21 days, while that in the standard CXL group was 23.55 ± 4.72 days, and the difference was statistically significant (

P
=
0.0475

). Conclusions. Both accelerated and standard CXL can significantly inhibit the progression of Aspergillus keratitis corneal ulcers and promote ulcer healing. The accelerated CXL was superior to the standard CXL, which could control infection faster and promote ulcer healing. However, it is important to note that there may be a risk of early deterioration of the ulcer with accelerated CXL.
Postcare for Repairing Nerve and Tendon Injury Based on Biomimetic Nano-Parallel Material Composite Protein
Authors: Fu Junxia , Tan Xiaohong , Tang Yan
Published: July 2022

Natural tendons are composed of ordered parallel arrangement of bundles of type I collagen fibers. It is responsible for transmitting the forces generated by the bones and muscles to move the body. Tendon injuries are common sports injuries, accounting for 50% of sports injuries. In adulthood, factors such as few tendon tissue cells and poor blood supply make it difficult to heal on their own after injury. Therefore, restoring the structure and function of native tendon tissue is still an unsolved problem. The purpose of this study is to study the use of biomimetic nano-parallel material composite proteins to induce the directional differentiation of stem cells to tendon lineages to promote muscle regeneration and repair. This study proposes to prepare composite protein nanomaterials by simulating the parallel arrangement of tendon collagen fibers. This can facilitate the directed differentiation of fibroblasts into tendon lineages. It can use the BP algorithm in the neural network algorithm to simulate the parallel arrangement of tendon collagen fibers, which is more efficient than other schemes. The experimental results in this study show that the rat cells are repaired after about 6 weeks. Tendon repair enters a remodeling phase with reduced cell numbers, collagen, and mucopolysaccharide synthesis. During this period, tendon repair gradually changes from the cellular level to the tissue level, and tenocyte metabolism remains high. Tenocytes and collagen fibers are aligned in the direction of stress. A higher proportion of collagen 1 synthesis occurs during this period. Collagen 1 accounts for 65% to 80% of the dry weight of the tendon, which plays the most important role in the mechanical properties of the tendon.
Measurement and Trend Analysis of New Media Coverage Topics Based on Comment Big Data Mining
Authors: Shao Meng
Published: July 2022

With the rapid development of Internet, new media news has gradually become the most concerned information source of new media people. New media public opinion is a force that cannot be ignored. It needs monitoring and guidance. The research on hot topic discovery and trend analysis can timely find social hot topics and analyze the trend of topics, which is conducive to grasp the trend of public opinion, so as to correctly guide and maintain social stability. At the same time, the emerging industry of new media has sprung up like mushrooms after a rain, with a rapid momentum. With the advent of the era of big data, the development of new media presents characteristics and advantages that are different from traditional media, but we should also note that the era of big data has both advantages and disadvantages for the development of new media. In this paper, LDA and ARIMA models can be used to calculate and analyze the popularity measurement and trend analysis of new media reports under the background of big data mining. The model designed in this paper has a conclusion: the missed detection rate is reduced by 75.4%. Through experiments, it is found that the accuracy of heat topic detection of the model designed in this paper can reach 84.6%. In trend analysis, the first stage of transmission is called the incubation period. Then after a certain critical point, it will come to the outbreak period. The outbreak period lasted for a period of time, entered a period of plateau, and finally came to a subsidence period.
Application of Network Digital Media Interaction for Exhibition Using the Internet Technology
Authors: Zhu Chenming , Zhu Ping
Published: July 2022

With the advancement in science and technology, digital media interaction technology is increasingly improved and perfected. Computer models are continuously updated over time. Various new computers are launched to provide artists with much creative inspiration. At present, digital media interaction technology has become a significant technology in exhibition design and product design. It is widely used in the field of exhibition primarily. Nowadays, people put forward higher requirements for exhibition experience. Traditional exhibitions can no longer meet people’s basic requirements. The rapid development of digital media interaction and its wide application have made exhibitions show new vitality, and the depth and breadth of information dissemination have also been expanded. Digital media interaction technology makes exhibition display more meaningful and feels like a new experience from audio, visual, and sensory perception aspects. Firstly, this article briefly introduces the network digital media interaction technology. Secondly, it analyzes the sound-raising equipment and sound-absorbing material structure used in the exhibition and uses this way to reduce the environmental noise of the exhibition. Finally, on-the-spot three-dimensional and spatial virtualization is used to examine the exhibition effect. The results show that the factors affecting the sound quality and other factors that lead to the inability to focus on the visit account for the highest proportion, 65.6% and 57.8%, respectively.
User-Characteristic-Oriented Bilateral Matching between Online Learning Service Demanders and Providers
Authors: Wu Qirui , Zhang Wenbo , Yong Hong , Chen Xi
Published: July 2022

Under the background of information technology and the Internet era, the matching problem in different application scenarios is becoming increasingly prominent. With respect to the matching problem in knowledge services, enabling users to choose suitable knowledge out of massive information has become an urgent demand to be satisfied. Initiating from interdisciplinary perspective, this paper proposes a matching method for online learning services according to user characteristics, which focuses on the matching of decision making for knowledge service with user relevance and characteristic under social network environment. Firstly, the complex network among users is constructed, and the user group is subcategorized into subgroups, thereby aggregating the subgroup information effectively. Secondly, the weight of the indices that evaluate the matching subject is determined by conducting the best-worst method. Thirdly, considering the difference between the expectation and actual levels of the matching subject, the cumulative prospect theory is adopted to calculate the satisfaction degree of both sides. Aiming at maximizing the satisfaction degree of the subjects, a multi-objective optimization model is established to obtain the optimal matching pairs. Finally, the validity and rationality of the proposed method are verified, offering interdisciplinary perspective and theoretical foundation for knowledge service matching and the education reform of humanities.
Stability Analysis of the New Traffic Flow Lattice Model considering Taillight Effect and Speed Deviation
Authors: Li Zhicheng , Ma Changxi
Published: July 2022

A new macroscopic traffic flow lattice model is established which considered the taillight effect and velocity deviation. By combining the concept of critical density, the critical condition of taillight triggering is established. The situation of taillight appearing is fully considered, and the influence of taillight effect is analyzed. Through the stability analysis of the model, the stability conditions of the model are obtained. By nonlinear analysis, the mKdV equation is derived which can describe the evolution mechanism of the density wave. From the phase diagram, we can find that the two factors have a positive impact on the stability of traffic flow. Finally, spatiotemporal evolution of the density wave and cross-section view of the density wave are obtained by numerical simulation to verify the theoretical derivation of this paper. The simulation results show that the stability of traffic flow can be improved by considering taillight effect and speed deviation. In addition, by comparing the time-space evolution maps of different parameter values, it can be found that the stability of traffic flow considering the taillight effect and speed deviation is better than that considering one factor alone. However, the stability of traffic flow will be negatively affected by low speed estimate and high critical density.
The Research on the Influence of Degassing Temperatures of Water Samples on Radon Observations
Authors: Shuqi Cheng , Xibao Wang , Haigang Liu , Shuaihe Wang , Lei Xu
Published: July 2022

Radon is a naturally emitted gas that is observed in soils, subsoils, air, and all types of water. Because there is a statistically significant association observed between seismic activity and active concentration levels of radon readings, a dissolved form of radon in water near-fault locations such as wells or springs, has significant observational value. Furthermore, as the temperature of the water rises, the dissolved radon in the water might transfer to the air, a process known as degassing. Thus, radon measurements in all types of water such as groundwater, tap waters, and bottled drinking waters have been investigated by covering several aspects of the degassing process, namely, health issues, monitoring volcanic activities, and predicting seismic activities by employing various methods. In this paper, radon measurements of sampled waters removed from the well located at Yishui Seismic Station in China are utilized to monitor the degassing temperature and predict earthquakes. For this purpose, an experiment is devised to collect water samples manually. Then, the amount of radon dissolved in the water samples is examined to find a stable degassing temperature range at Yishui Seismic Station. An experimental setup is constructed to collect data for 20 days. The most important findings found regarding this research can be expressed as follows. (1) When the degassing temperature is observed to be higher than 5°C, the influence on radon value changes greatly. (2) The observations of the radon degassing temperatures in the Yishui well are found to be stable between 18°C and 23°C.
Simulation of Vehicular Network Use in Emergency Situations and Security Applications on a Pakistan Highway
Authors: Al-Douri Asaad T. , Mohammed Kadhim Noor , Mohamad A. A. Hamad , Abeyie Melese
Published: July 2022

VANETs (vehicular ad hoc networks), which are revolutionary techniques to enhance road safety, can be used to broadcast information about dangerous traffic conditions or accidents. However, distributing important information for driver safety and well-being has strict time and reliability requirements. This is because messages must be received by all cars involved in a potentially dangerous scenario for proper precautions to be taken to avoid the problem from materializing or intensifying. Because of the deterioration in conventional wireless communication system performance, ensuring that such requirements are met is a serious concern. To validate the concept before the actual installation of such systems and their absorption into the vehicle sector, it is therefore critical to employ simulation methodologies that are both reliable and thorough. This piece consists of large-scale, realistic security simulation research of an emergency situation based on actual road traffic data acquired on a Pakistan route. The study’s findings are detailed in the following paragraphs. Aspects such as the incorporation of fixed communication units along a stretch of roadway and the performance of the vehicular network notifying all vehicles engaged in the various accident scenarios modeled on the same stretch of highway were evaluated. Both of these characteristics were designed to increase safety and security applications. After doing the investigation, it was observed that when fixed communication units are incorporated into the network infrastructure, there is a shorter delay in receiving the accident notification. This was the conclusion made after reviewing the findings. Drivers of vehicles located closer to the accident site will be able to respond in a timely and safe manner as a result of this improvement in network performance, and drivers security of vehicles located further away will have the option of exiting the highway to avoid potential congestion caused by increased road traffic.
A Review on the Application of Knowledge Graph Technology in the Medical Field
Authors: Qu Jia
Published: July 2022

With the continuous development of Internet technology, knowledge graph construction has received increasing attention. Extracting useful medical knowledge from massive data is the key to analyzing big medical data. The knowledge graph is a semantic network that reveals relationships between entities. Medicine is one of the widely used fields of knowledge graphs, and the construction of a medical knowledge graph is also a research hotspot in artificial intelligence. Knowledge graph technology has broad application prospects in the field. First, this study comprehensively analyzes the structure and construction technology of the medical knowledge graph according to the characteristics of big data in the medical field, such as strong professionalism and complex structure. Second, this study summarizes the key technologies and research progress of the four modules of the medical knowledge graph: knowledge representation, knowledge extraction, knowledge fusion, and knowledge reasoning. Finally, with the major challenges and key problems of the current medical knowledge graph construction technology, its development prospects are prospects.
Analysis of Surrounding Rock Pressure of Deep Buried Tunnel considering the Influence of Seepage
Authors: Yao Qingchen , Ma Yukun , Xiao Zongyang , Zhang Zudi , Lu Yaxin , Liu Chenyang
Published: July 2022

This paper takes the surrounding rock of deep tunnel as the research object and considers the action mechanism under the influence of seepage. Based on the Mohr-Coulomb criterion, the stress mechanism of surrounding rock of deep buried tunnel is analyzed by a convergence constraint method. Based on the elastic-plastic solution, the nonlinear elastic-plastic solution of the interaction between surrounding rock and lining structure considering the effect of seepage force is proposed, and the radius of surrounding rock plastic zone is obtained. The relationship between surrounding rock stress and displacement, radial deformation of lining, and support reaction force was observed. At the same time, considering the effects of seepage, strain softening, and intermediate principal stress, the surrounding rock is divided into a plastic residual zone, plastic softening zone, and elastic zone, and the stress distribution expressions of the plastic zone and each zone of surrounding rock of circular tunnel are derived. The results show that with the change of nonuniform permeability coefficient, the seepage shows anisotropy in different directions, and the closer to the horizontal or vertical direction, the more obvious the influence of nonuniform permeability coefficient on pore water pressure distribution. Seepage and material softening have different effects on the distribution of surrounding rock stress field and the size of plastic zone. Material softening is more unfavorable to the stability of surrounding rock than seepage. The intermediate principal stress coefficient has a significant impact on the tangential stress and plastic zone of surrounding rock. When the intermediate principal stress effect is not considered, the calculation results are relatively conservative and cannot give full play to the strength of surrounding rock effectively. The research conclusion can provide a theoretical reference for studying the stability of surrounding rock in tunnel excavation under water-bearing rock.
Sulfated Polysaccharides Derived from Hypnea valentiae and Their Potential of Antioxidant, Antimicrobial, and Anticoagulant Activities with In Silico Docking
Authors: Palani Kokila , Balasubramanian Balamuralikrishnan , Malaisamy Arunkumar , Maluventhen Viji , Arumugam Vijaya Anand , Al-Dhabi Naif Abdullah , Valan Arasu Mariadhas , Pushparaj Karthika , Liu Wen-Chao , Arumugam Maruthupandian
Published: July 2022

Carrageenan, a sulfated polysaccharide, was produced by certain species of marine red seaweeds, which have been used as a significant source of food, feed, and antibiotic agent throughout history due to their alleged human health benefits. The present study aimed to derive the polysaccharides from Hypnea valentiae and describe the biological applications. Carrageenan was characterized by FT-IR, C-NMR, AFM, and their antimicrobial, antioxidant, and anticoagulant capabilities; furthermore, the larvicidal effect of methanol extract was generated from the seaweed against Aedes aegypti larvae at various concentrations. The molecular docking experiments were carried out computationally for finding the molecular insight of the macromolecules and small molecules’ interaction using GLIDE docking by using Schrodinger software. Antibacterial zones of inhibition in different concentrations are compared with the 40 mg/mL higher activity against bacterial pathogens. Carrageenan is strong in all antioxidant activities, with the overall antioxidant (70.1 ± 0.61%) of radical at 250 μg/mL concentration being exhibited. The DPPH scavenging is effective in the inhibition of (65.74 ± 0.58%) radical at a concentration of 160 μg/mL and the hydroxyl scavenging (65.72 ± 0.60%) of activity at a concentration of 125 μg/mL being exhibited. Anticoagulant activities (APPT and PT) of carrageenan fraction were tested. H. valentiae and heparin sulphate shows higher activity of APTT (106.50 IU at 25 μg/mL) in comparison with the PT test (57.86 IU at 25 μg/mL) and the methanol extraction of higher larvicidal activity on A. aegypti (LC50 = 99.675 μg/mL). In this study, the carrageenan was exploited through in vitro and in silico molecular docking studies against antimicrobial, antioxidant, and anticoagulant properties. The results were establishing the potentiality of the carrageenan which is an alternative source to control the mosquitocidal property in the future. Moreover, molecular docking of carrageenan against multiple targets results in −7 to −6 Kcal/mol binding score. Findings of carrageen from in vitro to in silico studies are needed for further validation of clinical pieces of evidence.
Numerical Simulation of Surface Vibration Propagation in Tunnel Blasting
Authors: Guo Deng , Xiao Wenhao , Guo Da , Lu Yu
Published: July 2022

In order to better study the propagation law of tunnel blasting in mountain landforms, taking the excavation blasting project of the Yangliu tunnel along the Yinsong expressway in Guizhou as the research object, the propagation law of vibration waves to tunnel blasting under the mountain tunnel was analyzed based on the ABAQUS finite element software and compared with the field monitoring data. The results show the peak vibration velocity of numerical simulation. Generally, the simulation value is slightly larger than the field monitoring value, but the average error of closing speed is less than 25% and the maximum error is less than 45%. The component velocity of surface peak vibration under blasting to load is the largest in the vertical direction. The “cavity effect” formed by the side-passing tunnel wall has the most significant amplification effect on the peak vibration velocity in the X direction of the rock and soil above it, which is about 1.62∼1.85 times and the resultant velocity is enlarged by 1.27∼1.45 times. Blasting vibration waves spread to the surface in the form of spherical waves inside the mountain, causing the vibration center of the surface to move to the area with lower elevation. The “cavity effect” caused by the side-through tunnel and the shift of the surface diffusion center to the lower part together led to the peak velocity of the lower measuring point of the Yangliu tunnel being much higher than that of the higher measuring point. The research results of this paper have certain reference significance in controlling the influence of underground blasting vibration on residential buildings in mountain areas.
[Retracted] Systematic Review and Meta‐Analysis Program Based on Effectiveness of a Multidisciplinary Model of Care for Patients with Chronic Kidney Disease
Authors: Wang Qinger , Ge Mengyuan , Sun Huimin , Xu Qingwen , Li Hui , Lv Guilan
Published: July 2022

The effectiveness of the multidisciplinary nursing model in the nursing of chronic kidney disease (CKD) by using meta‐analysis is explored. Relevant literatures that are in line with the multidisciplinary nursing model for CKD intervention are searched and screened from domestic and foreign literature databases such as Wanfang Medical Center, CNKNET, VIP, and PubMed, and Meta‐analysis is conducted with RevMan 5.2 software. A total of 6 literatures are included, and the publication bias of the included literatures is low. Meta‐analysis shows that the multidisciplinary group had a better Hb compliance rate, Hb level, Scr, eGFR, SBP, and DBP than the traditional group. The experimental results show that multidisciplinary nursing intervention can improve the nursing effect of patients with CKD and help to improve Hb, Scr, blood pressure, and glomerular filtration function of patients.
Smart Healthcare System for Severity Prediction and Critical Tasks Management of COVID-19 Patients in IoT-Fog Computing Environments
Authors: Hameed Abdulkareem Karrar , Awad Mutlag Ammar , Musa Dinar Ahmed , Frnda Jaroslav , Abed Mohammed Mazin , Hasan Zayr Fawzi , Lakhan Abdullah , Kadry Seifedine , Ali Khattak Hasan , Nedoma Jan
Published: July 2022

COVID-19 has depleted healthcare systems around the world. Extreme conditions must be defined as soon as possible so that services and treatment can be deployed and intensified. Many biomarkers are being investigated in order to track the patient’s condition. Unfortunately, this may interfere with the symptoms of other diseases, making it more difficult for a specialist to diagnose or predict the severity level of the case. This research develops a Smart Healthcare System for Severity Prediction and Critical Tasks Management (SHSSP-CTM) for COVID-19 patients. On the one hand, a machine learning (ML) model is projected to predict the severity of COVID-19 disease. On the other hand, a multi-agent system is proposed to prioritize patients according to the seriousness of the COVID-19 condition and then provide complete network management from the edge to the cloud. Clinical data, including Internet of Medical Things (IoMT) sensors and Electronic Health Record (EHR) data of 78 patients from one hospital in the Wasit Governorate, Iraq, were used in this study. Different data sources are fused to generate new feature pattern. Also, data mining techniques such as normalization and feature selection are applied. Two models, specifically logistic regression (LR) and random forest (RF), are used as baseline severity predictive models. A multi-agent algorithm (MAA), consisting of a personal agent (PA) and fog node agent (FNA), is used to control the prioritization process of COVID-19 patients. The highest prediction result is achieved based on data fusion and selected features, where all examined classifiers observe a significant increase in accuracy. Furthermore, compared with state-of-the-art methods, the RF model showed a high and balanced prediction performance with 86% accuracy, 85.7% F-score, 87.2% precision, and 86% recall. In addition, as compared to the cloud, the MAA showed very significant performance where the resource usage was 66% in the proposed model and 34% in the traditional cloud, the delay was 19% in the proposed model and 81% in the cloud, and the consumed energy was 31% in proposed model and 69% in the cloud. The findings of this study will allow for the early detection of three severity cases, lowering mortality rates.
A Randomized, Double-Masked, Active-Controlled, Crossover Phase III Equivalence Study of Generic Dorzolamide 2% versus Innovator Trusopt® Eye Drop Solution in Subjects with Open-Angle Glaucoma or Ocular Hypertension
Authors: Bell Katharina , Korb Christina , Butsch Christina , Giers Bert Constantin , Beck Anna , Strzalkowska Alicja , Ruckes Christian , Klingberg Ulrike , Pfeiffer Norbert , Lorenz Katrin
Published: July 2022

Background. The aim of this study was to demonstrate the equivalence of generic dorzolamide 2% eye drops solution versus the innovator formulation (Trusopt® eye drops solution) in patients with open-angle glaucoma or ocular hypertension. Methods. This prospective, monocentric, double-masked, active-controlled crossover phase III study included 32 patients. After washout, patients were randomized to reference product (Trusopt®) or test product (dorzolamide 2% eye drops, Rompharm Company SRL) for a 4-week period. Subsequent washout and crossover were performed. Drops were applied t.i.d. The primary efficacy endpoint was the difference in mean diurnal IOP. Goldmann applanation tonometry was performed at 8 am, 12 pm, and 4 pm at each visit, and safety was assessed by documentation of adverse events (AEs). Therapy adherence was documented by self-reporting and eye drop bottle weighing. An ANOVA with treatment, sequence, study period, and patient within the sequence as effects was performed and an additional post hoc ANCOVA including the baseline IOP was also performed. Results. 34 patients were randomized and analyzed in the safety population. The per-protocol population included 32 patients. According to the self-report, all patients were >80% compliant. Under the ANCOVA model, the 90% confidence interval for the average change of the IOP −0.27 mmHg (−1.17 mmHg–0.64 mmHg) is included by the acceptance range −1.5 mmHg to +1.5 mmHg after excluding 2 patients, which had falsely reported high therapy adherence. No clinically relevant difference was observed in frequency or severity of the AEs between both treatments. Conclusions. This study showed the equivalence of the tested generic dorzolamide 2% eye drops solution to the reference product Trusopt® eye drops solution. Trial Registration. This trial is registered with (ClinicalTrials.gov (identifier: NCT00878917) on April 9, 2009).
Simpson Type Conformable Fractional Inequalities
Authors: Şanlı Zeynep
Published: July 2022

In this study, a new Simpson type conformable fractional integral equality for convex functions is established. Based on this identity, some results related to Simpson-like type inequalities are obtained. Also, some estimation results are given for the special cases of the derivative of a function used in our results, and some applications are presented for special means such as the arithmetic, geometric, and logarithmic means.
ADSCs Combined with Melatonin Promote Peripheral Nerve Regeneration through Autophagy
Authors: Zhang Ziqiang , Zhang Mengyu , Zhang Zhixiang , Sun Yingying , Wang Jiajia , Chang Chenhao , Zhu Xinyan , Li Monan , Liu Yumei
Published: July 2022

Background. In the early stage of nerve injury, damaged tissue is cleared by autophagy. ADSCs can promote nerve axon regeneration. However, the microenvironment of the injury was changed, and ADSCs are easily apoptotic after transplantation. Mel plays a role in the apoptosis, proliferation, and differentiation of ADSCs. Therefore, we investigated whether Mel combined with ADSCs promoted peripheral nerve regeneration by enhancing early autophagy of injured nerves. Materials and Methods. SD rats were randomly split into the control group, model group, Mel group, ADSCs group, ADSCs + Mel group, and 3-MA group. On day 7, autophagy was observed and gait was detected on days 7, 14, 21, and 28. On the 28th day, the sciatic nerve of rats’ renewal was detected. Results. After 1 w, compare with the model group, the number of autophagosomes and lysosomes and the expressions of protein of LC3-II/LC3-I and Beclin-1 in the ADSCs + Mel group were prominently increased, while the 3-MA group was significantly decreased. After 4 w, the function of the sciatic nerve in ADSCs + Mel was similar to that in the control group. Compared with the model group, the ADSCs + Mel group significantly increased myelin regeneration and the number of motor neurons and reduced gastrocnemius atrophy. Conclusions. It was confirmed that ADSCs combined with Mel could promote sciatic nerve regeneration in rats by changing the early autophagy activity of the injured sciatic nerve.