bluuebunny/crossref_metadata_2025 huggingface dataset:
Comparison of Different Physical Therapies Combined with Acupuncture for Poststroke Cognitive Impairment: a Network Meta-Analysis
Authors: Li Ruo-Yang , Huang Rui-Jue , Yu Qian
Published: November 2021

Objective. Physical therapy combined with acupuncture is the current research hotspot in the treatment of poststroke cognitive impairment, but which combination treatment is the best is still controversial. Based on the network meta-analysis method, we evaluated the efficacy of various physical therapies combined with acupuncture for the treatment of poststroke cognitive impairment. Methods. We retrieved diverse randomized controlled trials of various physical therapies combined with acupuncture for the treatment of cognitive dysfunction after stroke. We selected studies, extracted data, and evaluated the risk of literature bias for the included randomized controlled trials. We used STATA 14.0 for the current network meta-analysis. Results. Fifteen randomized controlled trials involving 1288 patients were included, which involved 7 treatment plans that included 3 control treatment plans and 4 acupuncture treatment plans combined with physical therapy. The best treatment plan for improving the Mini-Mental State Examination score of poststroke cognitive impairment is acupuncture combined with hyperbaric oxygen therapy. The best treatment option for improving the Montreal Cognitive Assessment score of poststroke cognitive impairment is acupuncture combined with hyperbaric oxygen therapy. The best option for improving the Barthel index score of poststroke cognitive impairment is acupuncture combined with transcranial magnetic stimulation. In terms of improving the overall clinical effectiveness of poststroke cognitive impairment, the best treatment option is acupuncture combined with transcranial magnetic stimulation. Conclusion. The analysis of all the results shows that acupuncture combined with hyperbaric oxygen therapy can significantly improve poststroke cognitive impairment compared with other combined treatments. However, due to the overall quality and quantity of the included studies, more randomized controlled trials focusing on clinical research on acupuncture combined with physical therapy for poststroke cognitive impairment are required to support the current evidence. This trial is registered with CRD42020200092.
A Rare Cause of Acquired Factor X Deficiency in an 87-Year-Old Female
Authors: Bangolo Ayrton , Waykole Trupti , Niazi Bilal , Sajja Chandini , Akhter Mahabuba , Gupta Bhavna , Elias Sameh
Published: November 2021

Factor X deficiency is a rare coagulopathy that can be inherited or acquired. Acquired factor X deficiency has been associated with plasma cell dyscrasias, amyloids, and use of vitamin K antagonists. Of plasma cell dyscrasias, most cases in the literature have been associated with multiple myeloma with or without concomitant AL amyloidosis. Here, we present a rare case of acquired isolated factor X deficiency in an elderly patient with immunoglobulin A (Ig A) monoclonal gammopathy of undetermined significance (MGUS). Herein, we highlight a rare cause of acquired factor X deficiency, and we hope to contribute to the growing literature of plasma cell dyscrasias associated with factor X deficiency.
A Metabolomic Investigation of Eugenol on Colorectal Cancer Cell Line HT-29 by Modifying the Expression of APC, p53, and KRAS Genes
Authors: Ghodousi-Dehnavi Elham , Hosseini Reza H. , Arjmand Mohammad , Nasri Sima , Zamani Zahra
Published: November 2021

Colorectal cancer is one of the most lethal cancers with a high mortality rate. Chemotherapy results in drug resistance in some cases; hence, herbal medicines are sometimes used in adjunct with it. Eugenol has been reported to have anti-inflammatory, antioxidant, and anticancer properties. Metabolomics is a study of metabolic changes within an organism using high-throughput technology. The purpose of this research was to investigate the anticancer effects of eugenol and variations in p53, KRAS, and APC gene expression and metabolic changes associated with the abovementioned gene expressions using 1HNMR spectroscopy. The MTT method was used to determine cell viability and its IC50 detected. After treating HT-29 cells with IC50 concentration of eugenol, RNA was extracted and cDNA was obtained from them and the expression of p53, KRAS, and APC genes was measured using the qRT-PCR technique. Metabolites were extracted using the chloroform-ethanol method, lyophilized, and sent for 1HNMR spectroscopy using the 1D-NOESY protocol. Chemometrics analysis such as PLS-DA was performed, and differentiated metabolites were identified using the Human Metabolome Database. Integrated metabolic analysis using the metabolites and gene expression was performed by the MetaboAnalyst website. The observed IC50 for eugenol was 500 μM, and the relative expression of APC and p53 genes in the treated cells increased compared to the control group, and the expression of KRAS oncogene gene decreased significantly. The crucial changes in convergent metabolic phenotype with genes were identified. The results indicate that eugenol exhibits its antitumor properties by targeting a specific biochemical pathway in the cell’s metabolome profile due to changes in genes involved in colon cancer.
Process Product Design Based on Multimode Interaction Design
Authors: Liu Chuyi
Published: November 2021

There are many problems in the current process product design, such as poor interaction and low overall efficiency, so a process product design method based on multimode interaction design is proposed. Based on the relationship model, environment model, and object-oriented model of process product design, the process of process product development and design is analyzed. On this basis, the finite state machine is used to analyze the state of the designer to complete the task sequence, as well as the related design task planning, constructing craft products multimodal interaction mechanism, with the improved fuzzy analytic hierarchy process to evaluate the quality of the products, according to the evaluation results of technology of product design optimization. The experimental results show that both experts and ordinary users give a high evaluation of the product designed in this paper, and the design cycle of the product is significantly shortened, indicating that this method can fully save the design time and improve the overall efficiency.
Research on the Application of Internet of Things and VR Technology in the Protection and Development of Shouzhou Kiln
Authors: Yu Xuelian , Zhang Yajun
Published: November 2021

The Internet of things (IoT) has changed the information transmission mode of people, things, and services. The new functional experience will bring users an efficient, convenient, and safe lifestyle. Virtual reality (VR) technology, also known as spiritual environment technology, is a new stage of the development of computer and information technology. It is an important auxiliary tool in the fields of R & D, production, education, and so on. As one of the six most famous kilns in the Tang Dynasty (618–907 BC), Shouzhou kiln plays an important role in the history of ceramics in China and even in the world. However, due to the long history, incomplete site preservation, fragile ceramic materials, and lack of effective promotion and publicity, it has been difficult to make a breakthrough in the protection and development of Shouzhou kiln. VR technology makes comprehensive use of computer software and hardware, breaks the barrier between virtual and reality, and provides a new idea for the protection and development of Shouzhou kiln. On the basis of fully combing the principle of VR technology and analyzing the application possibility of VR technology, firstly, focusing on the history and from the perspective of archaeological research of Shouzhou kiln, this paper discusses how to use VR technology to realize the restoration of ancient kiln sites, ancient ceramics, ancient ceramics technology, and relevant data preservation of Shouzhou kiln. Secondly, focusing on the present, this paper discusses the application of VR technology and Internet of things technology in Shouzhou kiln ceramic product design, Shouzhou kiln process technology improvement, Shouzhou kiln ceramic product display, and Shouzhou kiln marketing. Finally, focusing on the future, this paper discusses the application prospect of VR technology in the inheritance of Shouzhou kiln technology and the promotion of Shouzhou kiln ceramic culture. It is expected to explore feasible paths and methods for the protection, inheritance, and development of ancient ceramic culture in China and even the world through the discussion of VR technology involved in the protection and development of Shouzhou kiln.
Risk Factors of Restroke in Patients with Lacunar Cerebral Infarction Using Magnetic Resonance Imaging Image Features under Deep Learning Algorithm
Authors: Ma Chunli , Li Hong , Zhang Kui , Gao Yuzhu , Yang Lei
Published: November 2021

This study was aimed to explore the magnetic resonance imaging (MRI) image features based on the fuzzy local information C-means clustering (FLICM) image segmentation method to analyze the risk factors of restroke in patients with lacunar infarction. In this study, based on the FLICM algorithm, the Canny edge detection algorithm and the Fourier shape descriptor were introduced to optimize the algorithm. The difference of Jaccard coefficient, Dice coefficient, peak signal-to-noise ratio (PSNR), structural similarity index measure (SSIM), running time, and segmentation accuracy of the optimized FLICM algorithm and other algorithms when the brain tissue MRI images were segmented was studied. 36 patients with lacunar infarction were selected as the research objects, and they were divided into a control group (no restroke, 20 cases) and a stroke group (restroke, 16 cases) according to whether the patients had restroke. The differences in MRI imaging characteristics of the two groups of patients were compared, and the risk factors for restroke in lacunar infarction were analyzed by logistic multivariate regression. The results showed that the Jaccard coefficient, Dice coefficient, PSNR value, and SSIM value of the optimized FLICM algorithm for segmenting brain tissue were all higher than those of other algorithms. The shortest running time was 26 s, and the highest accuracy rate was 97.86%. The proportion of patients with a history of hypertension, the proportion of patients with paraventricular white matter lesion (WML) score greater than 2 in the stroke group, the proportion of patients with a deep WML score of 2, and the average age of patients in the stroke group were much higher than those in the control group (

P
<
0.05

). Logistic multivariate regression showed that age and history of hypertension were risk factors for restroke after lacunar infarction (

P
<
0.05

). It showed that the optimized FLICM algorithm can effectively segment brain MRI images, and the risk factors for restroke in patients with lacunar infarction were age and hypertension history. This study could provide a reference for the diagnosis and prognosis of lacunar infarction.
Optimization of a Wireless Sensor Network‐Based Smart Elderly Location Management System
Authors: Wang Biying , Chen Dingzhuang , Xu Liangpeng
Published: November 2021

In this paper, wireless sensors are used to design and build a location management system for smart aging, and the optimization of this system is analysed. The function and structure of the positioning system are designed and implemented. Next, the system commissioning process and field implementation results are summarized and analysed to guarantee the reliability and integrity of the system. Finally, the system requirements and implementation are integrated to realize the basic requirements of the IoT‐based elderly positioning management system and reserve the interface for later expansion. Finally, the system excellence and functional usability tested through unit testing as well as comprehensive testing. In this paper, a theoretical analysis of the prediction algorithm is carried out for the disease prediction module in the health monitoring software of the smart senior care system. To improve the accuracy of the prediction, the traditional BP neural network algorithm is optimized using DS evidence theory, thus fusing multiple sets of prediction results obtained from the BP neural network into a more accurate set of data, and the performance of the algorithm before and after the improvement is compared. The IoT‐based home health management for the elderly starts from the health service demand of the elderly, explains the basic concept of IoT technology and home health management for the elderly, and analyses the feasibility of home health management for the elderly and the advantages of IoT technology in‐home health management for the elderly; through the field research, the IoT‐based home health management platform for the elderly is carried out from three aspects of users, business, and technology. The design covers the platform architecture and functional modules of the IoT‐based senior home health management platform, which can solve the problem that the elderly can spend a comfortable life in their old age without going home.
Malicious Mining Behavior Detection System of Encrypted Digital Currency Based on Machine Learning
Authors: Bie Mu , Ma Haoyu
Published: November 2021

With the gradual increase of malicious mining, a large amount of computing resources are wasted, and precious power resources are consumed maliciously. Many detection methods to detect malicious mining behavior have been proposed by scholars, but most of which have pure defects and need to collect sensitive data (such as memory and register data) from the detected host. In order to solve these problems, a malicious mining detection system based on network timing signals is proposed. When capturing network traffic, the system does not need to know the contents of data packets but only collects network flow timing signals, which greatly protects the privacy of users. Besides, we use the campus network to carry out experiments, collect a large amount of network traffic data generated by mining behavior, and carry out feature extraction and data cleaning. We also collect traffic data of normal network behavior and combine them after labeling. Then, we use four machine learning algorithms for classification. The final results show that our detection system can effectively distinguish the normal network traffic and the network traffic generated by mining behavior.
Triceps Rupture and Repair in a Healthy, Young Woman following Rock Climbing
Authors: Qin Charles , Clancy Sean , Strelzow Jason
Published: November 2021

Triceps tendon rupture in females is rare. In this case report, we present a young adult female patient with a distal triceps tendon rupture from bouldering treated with open surgical repair technique using a modified bone tunnel and suture anchor fixation technique. The diagnosis and technique for repair and postoperative rehabilitation are described. A review of the current literature of biomechanical and clinical outcomes of various repair techniques is also presented.
Feasibility Analysis Model of Transformation from Real Economy to Virtual Economy Based on Association Rule Algorithm
Authors: Gao Jing , Zhao Yu , Li Longlong , Deebhijarn Samart
Published: November 2021

The transformation of the real economy to the virtual economy is one of the necessary ways for social and economic development. By analyzing the definition of real economy and virtual economy, the relationship between them, and the relationship between finance and virtual economy, a feasibility analysis model for the transition from real economy to virtual economy is designed based on association rule algorithm, and provide feasibility analysis for “from entity to virtual.” At the same time, based on the scale measurement theory of virtual economic cycle, this paper establishes the rule-constrained Apriori algorithm model. Then, the input-output structure decomposition method is used to analyze the feasibility of the transformation from the real economy to the virtual economy. Through the analysis, we know that the multiplier value in the real economy is higher than that in the virtual economy, which promotes the substantial growth of its own output. The total amount of virtual economy is growing rapidly, but economic transformation is incomplete. The expansion of the real economy has increased the total output value of virtual laser machines. Therefore, the feasibility of transforming from a real economy to a virtual economy has a good relationship.
Response of Mung Bean Varieties (Vigna radiata L.) to Application Rates and Methods of Blended NPS Fertilizer at Humbo
Authors: Mota Fekadu Mekonen , Balla Dereje Shanka , Doda Mesfin Bibiso
Published: November 2021

Mung bean is among the important dry-land legumes in the country and in the study area. However, the productivity of the crop is constrained by biotic and abiotic factors, mainly poor soil fertility, lack of adaptable varieties, and peer agronomic practices. Field trial was initiated at Humbo District with the objective of investigating the rate of NPS-blended fertilizer and application methods on overall performance of mung bean (Vigna radiata L.) varieties. The treatments comprised factorial combination of four rates of NPS (0, 50, 100, and 150 kg ha−1), two types of application methods (broadcasting and drilling), and two mung bean varieties (Shewa Robit and N-26) laid out in RCBD with three replications. Analysis of variance revealed that NPS rates and varieties significantly affected phenology and yield components. Application methods affected yield and thousand-seed weight. Two-way interaction of NPS rates with varieties significantly influenced plant height and pod plant−1. Three-way interactions also significantly influenced aboveground dry biomass and grain yield. The greatest dry biomass (4273.7 kg ha−1) and grain yield (1539.2 kg ha−1) were produced by N-26 variety with fertilizer composed of NPS at 150 kg ha−1 using the drill application method. Partial budget analysis also revealed that the highest (ETB 46,934.4 ha−1) net benefit was obtained at 100 kg NPS ha−1 with variety N-26 from the drilled method. Hence, growing N-26 with 100 kg NPS ha−1 applied using the drilling method of fertilizer application was found as the most suitable treatment combination to improve the income of farmers and increase productivity of mung bean.
Identification of Modal Parameters for Reinforcement of Walls in Earthen Ruins
Authors: Liu Bei , Shi Yucheng , Liu Kun , Li Tao , Wang Shaopeng
Published: November 2021

The protection of earthen sites plays an important role in the context of preservation of cultural heritage, especially in the inheritance and promotion of history and culture. The aim of the paper is to present the essential results of an ongoing research on a reinforced rammed earthen wall in Suoyang City (Guazhou, China). The wall vibrations caused by ambient actions were analyzed using the stochastic subspace algorithm to estimate the modal parameters of the wall. The frequencies of the first three orders are 3.566 Hz, 5.003 Hz, and 6.250 Hz, and the corresponding modes are first‐order transverse bending, second‐order left and right torsion, and third‐order vertical bending, respectively. Then, according to the data of elastic modulus obtained in the lab, the finite element calculation is carried out, and referring to the results of field measurement, the revised elastic modulus value is 205.90 MPa. It is worth mentioning that the revised value is significantly improved from the original laboratory value, and it is also indicated that the seismic performance of the reinforced wall has been significantly improved. The present work is expected to provide a theoretical basis for reinforcement, protection, and seismic control of earthen ruins.
Prediction of Rhizoma Drynariae Targets in the Treatment of Osteoarthritis Based on Network Pharmacology and Experimental Verification
Authors: Chen Guang-yao , Liu Xiao-yu , Chen Jia-qi , Yu Xin-bo , Luo Jing , Yan Ze-ran , Tao Qing-wen
Published: November 2021

Rhizoma Drynariae has been widely used for the treatment of osteoarthritis (OA), but its potential targets and molecular mechanisms remain to be further explored. Targets of Rhizoma Drynariae and OA were predicted by relevant databases, and a protein-protein interaction (PPI) network was constructed to identify key targets. The Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis was performed to obtain related pathways and then select significant pathways associated with OA. The OA chondrocyte model was established by inflammatory factor-induced SW1353 chondrocytes, and molecular docking was conducted to verify the above theoretical prediction. The results showed that a total of 86 Rhizoma Drynariae-OA interaction targets were identified, among which IL-6 and AKT1 were the key targets in the PPI network. Luteolin was the most critical component of Rhizoma Drynariae. KEGG results indicated that the effects of Rhizoma Drynariae on OA are associated with the PI3K/AKT, TNF, IL-17, apoptosis, and HIF-1 signaling pathway. The PI3K/AKT pathway can activate the downstream NF-κB pathway and further regulate the transcription and expression of downstream IL-6, IL-17, HIF-1α, Bax, and TNF, suggesting that the PI3K/AKT/NF-κB pathway is the critical pathway in the treatment of OA with Rhizoma Drynariae. Active components of Rhizoma Drynariae and key proteins of the PI3K/AKT/NF-κB signaling pathway were subjected to molecular docking, whose results showed that luteolin and IKK-α played a critical role. In vitro experiments indicated that both aqueous extracts of Rhizoma Drynariae (AERD) and luteolin inhibited the expression of IL-6 and HIF-1α and suppressed the activation of PI3K/AKT/NF-κB, IL-17, and TNF pathways. The measurement of mitochondrial membrane potential (Δψm) indicated that AERD and luteolin can decrease the LPS-induced early apoptotic cells. Luteolin had a more prominent inhibitory effect than AERD in the abovementioned in vitro experiments. In conclusion, the therapeutic mechanism of Rhizoma Drynariae against OA may be closely related to the inhibition of the PI3K/AKT/NF-κB pathway and downstream pathways, and luteolin plays a vital role in the treatment.
Harmonic Evolute Surface of Tubular Surfaces via
B
-Darboux Frame in Euclidean 3-Space
Authors: Solouma E. M. , AL-Dayel Ibrahim
Published: November 2021

In this article, we look at a surface associated with real-valued functions. The surface is known as a harmonic surface, and its unit normal vector and mean curvature have been used to characterize it. We use the Bishop-Darboux frame (

B

-Darboux frame) in Euclidean 3-space

E

3

to study and explain the geometric characteristics of the harmonic evolute surfaces of tubular surfaces. The characterizations of the harmonic evolute surface’s

ϱ

and

ς

parameter curves are evaluated, and then, they are compared. Finally, an example of a tubular surface’s harmonic evolute surface is presented, along with visuals of these surfaces.
Measuring and Modelling Nonlinear Elasticity of Ex Vivo Mouse Muscles
Authors: Rizzuto E. , De Luca R. , Musarò A. , Del Prete Z.
Published: November 2021

Elastography is a noninvasive imaging technique that provides information on soft tissue stiffness. Young’s modulus is typically used to characterize soft tissues’ response to the applied force, as soft tissues are often considered linear elastic, isotropic, and quasi-incompressible materials. This approximation is reasonable for small strains, but soft tissues undergo large deformations also for small values of force and exhibit nonlinear elastic behavior. Outside the linear regime, the elastic modulus is dependent on the strain level and is different for any kind of tissue. The aim of this study was to characterize, ex vivo, the mechanical response of two different mice muscles to an external force. A system for transverse force-controlled uniaxial compression enabled obtaining the stress-strain (σ-ε) curve of the samples. The strain-dependent Young’s modulus (SYM) model was adopted to reproduce muscle compression behavior and to predict the elastic modulus for large deformations. After that, a recursive linear model was employed to identify the initial linear region of the σ-ε curve. Results showed that both muscle types exhibited a strain hardening effect and that the SYM model provided good fitting of the entire σ-ε curves. The application of the recursive linear model allowed capturing the initial linear region in which the approximation of these tissues as linear elastic materials is reasonable. The residual analysis displayed that even if the SYM model better summarizes the muscle behavior on the entire region, the linear model is more precise when considering only the initial part of the σ-ε curve.
Design of English Learning Effectiveness Evaluation System Based on K-Means Clustering Algorithm
Authors: Zhang Tongyao
Published: November 2021

English is the universal language of the world. In the context of global economic integration, English learning is not only an essential course for business elites but also a required course for the general public. Currently, in colleges and universities across the world, English is presented as a compulsory first foreign language course. Therefore, how to improve the effect of English performance assessment in the context of smart teaching has become an important part of smart English teaching. Due to the influence of interference factors, human factors, or external factors, the traditional English language teaching evaluation system has the problems of high system sensitivity, long envelope delay jitter time, and short stationary state maintenance time. Therefore, this study develops an English learning effectiveness evaluation system based on a K-means clustering algorithm. The SQL Server 2005 database management software is used to develop the system database; various functional modules of the system are designed using ActiveX, with emphasis on the design of scoring functional modules; and different roles and permissions are given to administrators, teachers, and students. A student English learning effectiveness evaluation model based on BP neural network training and K-means clustering algorithm is designed to optimize the English learning effectiveness evaluation model and achieve effective English learning by solving the consistent estimate of the effectiveness of English learning assessment. The performance test results show that the proposed system has a lower sensitivity coefficient, a shorter envelope delay jitter time, and a longer period of steady-state maintenance, indicating that the system can achieve stable operation.
Some Further Results on the Reduction of Two‐Dimensional Systems
Authors: Li Dongmei , Gui Yingying , Liu Jinwang , Wu Man
Published: November 2021

The reduction of two‐dimensional systems plays an important role in the theory of systems, which is closely associated with the equivalence of the bivariate polynomial matrices. In this paper, the equivalence problems on several classes of bivariate polynomial matrices are investigated. Some new results on the equivalence of these matrices are obtained. These results are useful for reducing two‐dimensional systems.
Food’s Waste Water Biosolid Assessment against Toxic Element Absorbability of Food’s Cropping Soil Plant by Dominance Theory
Authors: Li Yanan , Wu Dan , Sahu Anoop Kumar
Published: November 2021

The blending of the Food’s Waste Water Biosolid (FWWB) fertilizer with Food’s Cropping Soil (FsCS) results the absorption of the toxic macromicroorganisms from FsCS (is known as absorbability index). It is observed that such as blending not only increase the fertility and productivity of FsCS by neutralizing or absorbing the macromicroorganisms but also catering the necessary nutrition to plants. The authors sensed that a few research works are conducted recently in the dimension of evaluating the best FWWB among available FWWBs under [Formula: see text]-(objective) FWWB’s parameter models. On potential analysis of published research works, the authors claimed that there is yet no research document, which can evaluate the best FWWB among available FWWBs or assess the best absorbability index of [Formula: see text]-(objective) as well as [Formula: see text]-(subjective) FWWB’s model corresponding to evaluated FWWBs or alternative points. It is accepted as a first research challenge. On extensive review, the authors determined that published FWWB’s parameter models are simulated by only single or nondynamic multivariable optimization techniques, which is accepted as a second research challenge. To address both research challenges, preliminary, the authors developed and proposed FWWB’s parameter model, consisted of physical, chemical, and biological parameters corresponding to [Formula: see text] and [Formula: see text] in nature via auditing a real case of FWWB alternative points such as Narendr Rice Mill-[Formula: see text], Liese Mahamaya Rice Mill-[Formula: see text], Vijay Rice Mill-[Formula: see text], Mahim Rice Mill-[Formula: see text], and Dhansingh Rice Mill-[Formula: see text] and their characteristics vs. parameters. Next, the authors framed the FWWB parameter model by acquiring [Formula: see text] and [Formula: see text] information against [Formula: see text]-physical, chemical, and [Formula: see text]-biological parameters corresponding to FWWB alternative points. To evaluate the results, the authors applied the robust multiparameter optimization “RMPO” (crisp VIKOR “VIseKriterijumska Optimizacija I Kompromisno Resenje” and FMF “Full Multiplicative Form technique with dominance theory”) approach on defuzzified [Formula: see text]-data and [Formula: see text]-data to evaluate the best FWWB point among available based on absorbability index assessment. The results are described in summary part.
[Retracted] SOCS3 Gene Polymorphism and Hypertension Susceptibility in Chinese Population: A Two‐Center Case‐Control Study
Authors: Kuang Dabin , Dong Lichen , Liu Lingyun , Zuo Meiling , Xie Yuanlin , Li Taoming , Yang Zhousheng
Published: November 2021

Endothelial inflammation and vascular damage are essential risk factors contributing to hypertension. Suppressor of cytokine signaling 3 (SOCS3) is involved in the regulation of multiple inflammatory pathways. A large number of studies have shown that the anti‐inflammatory effect of SOCS3 in hypertension, obesity, and allergic reactions has brought more insights into the inhibition of inflammation. Therefore, we selected a tagSNP of SOCS3 (rs8064821) to investigate whether they are contributing to the risk of hypertension in the Chinese population. In total, 532 patients with hypertension and 569 healthy controls were enrolled for two central of China. SOCS3 rs8064821 C>A polymorphism was genotyped using TaqMan assay. SOCS3 rs8064821 CA genotype was associated with an increased risk of hypertension (OR = 1.821, 95%CI = 1.276‐2.600, P = 0.001). Rs8064821 A allele was associated with higher SOCS3 mRNA level in PBMCs from healthy donors. SOCS3 rs8064821 C>A polymorphism may contribute to the risk of hypertension in the Chinese population by regulating the expression of SOCS3.
Novel Compact Design and Investigation of a Super Wideband Millimeter Wave Antenna for Body-Centric Communications
Authors: Rahman H. M. Arifur , Khan Mohammad Monirujjaman , Baz Mohammed , Masud Mehedi , AlZain Mohammed A.
Published: November 2021

This paper presents a novel design for a multiple band millimeter wave antenna with a wide active region in the extremely high frequency (EHF) range. The antenna's performance was tested at three evenly separated frequencies: 60 GHz within the V-band region, 80 GHz within the E-band region, and 100 GHz. Simulation exhibits satisfactory results in terms of gain and efficiency, although the efficiency falling tendency for higher frequency persists. As millimeter wave antennas have miniature-like dimensions and low penetration depth into human body layers, the performance of these antennas is less disturbed by the presence of a human body, making them ideal for body-centric wireless communication (BCWC) applications. Thus, a human body model was created virtually with the necessary property data. Simulations are repeated at the same frequencies as before, with the antenna kept close to the constructed human body model. The results were promising as the gains found increased radiation patterns and return loss curves remained almost identical, except some efficiencies that were considered. Some H-plane radiation patterns are changed by the presence of a human body. Although all three frequencies present satisfactory results, 60 GHz is found to be more balanced, but 100 GHz shows better gain and directivity. Multiple band operability makes this antenna suitable for various applications. Finally, a distance-based analysis was conducted to realize the in-depth characteristics of the antenna by placing the antenna at five different gaps from the human body. The result verifies the antenna’s category as suitable for body-centric communications.
Minced Cartilage in Combination with Autologous Bone Grafting for One-Step Osteochondral Defect Reconstruction in an Athlete’s Knee
Authors: Leyder Diane , Konrads Christian , Ziegler Patrick , Döbele Stefan
Published: November 2021

A 17-year-old student athlete suffering from stress-related knee pain asked for help. MRI revealed an unstable osteochondral lesion. Because of time pressure due to the patient’s academic exams and his schedule as a basketball player, an autologous chondrocyte transplantation (ACT) as the standard surgical treatment plan was not accepted by the patient. This was mainly because of its two-step character three weeks in between surgeries. Therefore, a surgical one-step therapy option as alternative treatment to ACT was needed. The patient received simultaneous autologous cancellous bone grafting and minced cartilage procedure in a sandwich technique. After successful rehabilitation, the patient continued his studies of sports science and his active career as a basketball player successfully. Several different procedures are used for the treatment of cartilage defects. The following factors play a significant role: defect size, location, patient age, and sports ambitions. In the case described here, ACT would have been the conventional, but not the ideal option in the perspective of this individual patient because of the two-step surgery and the longer rehabilitation time. Therefore, the minced cartilage method presented a valid alternative, even though long-term data are still missing and prospective studies comparing this procedure with others are needed in the future.
A Survey of Dementia Knowledge and Recognition of Dementia Prevention and Practice in Healthy Older Adults
Authors: Yamane Nanako , Tsukagoshi Kanto , Hisada Miharu , Yamaguchi Mina , Suzuki Yukiko
Published: November 2021

Aim: The aim of this study was to investigate the level of dementia knowledge and behaviors recognized as dementia-preventive and the practice thereof among healthy older adults who are highly motivated to engage in activities. Methods: The participants were older adults registered at the Silver Human Resource Center of city A, and participants anonymously filled questionnaires through the aggregation method in January 2020. Results: The analysis included 78 participants (the effective response rate was 49.7%). All participants were aware of at least 4 dementia-preventive behaviors, and about 80% of all participants practiced at least 1 preventive behavior. Approximately 20% of participants were not practicing preventive behaviors at all. The elderly aged 65 to 74 years had more knowledge about dementia and more types of behavior perceived as dementia-preventive than the elderly aged 75 years and older. There was no significant correlation between the level of dementia knowledge and the number of types of dementia-preventive behaviors. Conclusions: Healthy older adults were aware of numerous behaviors for dementia prevention, and most older adults practiced preventive behaviors. In contrast, even with a high amount of knowledge about dementia, a small number of healthy older adults did not translate this knowledge into preventative behavioral practices. High levels of dementia knowledge do not translate into preventive behavioral practices.
Tumor Lysis Syndrome following a Single Dose of Nivolumab for Relapsed Small-Cell Lung Cancer
Authors: Hayes Sarah Maryon , Wiese Christine , Schneidewend Robert
Published: November 2021

Tumor lysis syndrome (TLS) is an oncologic emergency most frequently associated with initial treatment of hematologic malignancies and high-tumor burden solid tumors such as small-cell lung cancer (SCLC). Most often, TLS is associated with cytotoxic chemotherapy. In the treatment of SCLC, a paradigm shift has taken place in which immunotherapy is often added to chemotherapy for extensive-stage disease in the frontline setting or as monotherapy in the relapsed setting. Nivolumab is a programmed death 1 receptor blocking antibody previously FDA indicated for the treatment of metastatic SCLC with progression after platinum-based chemotherapy and at least one other line of therapy. Nivolumab, like all immune checkpoint inhibitor therapies, is associated with immune-mediated adverse reactions; however, there are few reported cases of nivolumab-induced TLS. We present a case of nivolumab-induced TLS following a single infusion. An 86-year-old female with a history of widely metastatic SCLC with metastasis to the liver, bone, and lymph nodes presented to the hospital following a fall due to weakness, dizziness, slurred speech, nausea, vomiting, and abdominal pain occurring 6 days after receiving her first nivolumab infusion. After extensive evaluation, the patient was diagnosed with TLS with hyperkalemia, acute renal failure, hyperphosphatemia, and hypocalcemia. She was treated aggressively with intravenous fluids, rasburicase, and sodium polystyrene sulfate (Kayexalate®), which resulted in rapid improvement of her electrolytes and renal function. However, despite correction of electrolytes and overall symptomatic improvement, over the course of several days, the patient’s condition rapidly deteriorated with increasing dyspnea, lethargy, confusion, and eventually death. TLS following nivolumab is exceedingly rare. This report highlights the potential risk of development of TLS with checkpoint inhibitor therapy.
Kuhn, Putnam and the Reference
Authors: Fernandez Moreno Luis , Conde-Pumpido Paula Atencia
Published: November 2021

In some of his writings, Kuhn criticized Putnam’s causal theory of reference for natural kind terms put forward in his classic paper “The Meaning of ‘Meaning’” claiming that Putnam’s theory cannot explain the reference changes of natural kind terms. After looking into Kuhn’s objections to Putnam’s reference theory, some of the main features of Kuhn’s incommensurability thesis and some traits of Putnam’s later version of his theory, we will argue, on the one hand, that Putnam’s later reference theory contains some components that enhance the explanation of the reference change of natural kind terms, and on the other hand, that Kuhn’s and Putnam’s views on reference do no differ that much, especially in virtue ofcertain similarities between Kuhn’s incommensurability thesis and Putnam’s thesis of conceptual relativity.
Organization of Documentation in Ukraine during the Soviet Period
Authors:   State University of Infrastructure and Technology, Gamaliia Vira , Dovzhuk Igor , Sichkarenko Halyna
Published: November 2021

The article discusses issues surrounding the introduction of new forms of documents and the organization of document circulation in Ukraine during the Soviet period, revises the organization of office work and presents a selection of valuable documents. The authors also explore the organizational and scientific activities in the field of management, stipulated in regulatory enactments, and describe the creation of a network of public organizations, institutes and laboratories that dealt with issues of scientific organization of labor and reference activities. In the article, an analysis of the organization of office work and archival management through the evolution of regulatory framework is presented, highlighting the most important stages of the organization of documentation in the USSR. It is noted that, by the end of the 1980s, a holistic system of documentation support, which met at that time the requirements of Soviet business broadcasting and the standards of compiling official documents, had been formed.
PGC1α Regulates the Endothelial Response to Fluid Shear Stress via Telomerase Reverse Transcriptase Control of Heme Oxygenase-1
Authors: Kant Shashi , Tran Khanh-Van , Kvandova Miroslava , Caliz Amada D. , Yoo Hyung-Jin , Learnard Heather , Dolan Ana C. , Craige Siobhan M. , Hall Joshua D. , Jiménez Juan M. , St. Hilaire Cynthia , Schulz Eberhard , Kröller-Schön Swenja , Keaney John F.
Published: November 2021

Objective:

Fluid shear stress (FSS) is known to mediate multiple phenotypic changes in the endothelium. Laminar FSS (undisturbed flow) is known to promote endothelial alignment to flow, which is key to stabilizing the endothelium and rendering it resistant to atherosclerosis and thrombosis. The molecular pathways responsible for endothelial responses to FSS are only partially understood. In this study, we determine the role of PGC1α (peroxisome proliferator gamma coactivator-1α)-TERT (telomerase reverse transcriptase)-HMOX1 (heme oxygenase-1) during shear stress in vitro and in vivo.

Approach and Results:

Here, we have identified PGC1α as a flow-responsive gene required for endothelial flow alignment in vitro and in vivo. Compared with oscillatory FSS (disturbed flow) or static conditions, laminar FSS (undisturbed flow) showed increased PGC1α expression and its transcriptional coactivation. PGC1α was required for laminar FSS-induced expression of TERT in vitro and in vivo via its association with ERRα(estrogen-related receptor alpha) and KLF (Kruppel-like factor)-4 on the
TERT
promoter. We found that TERT inhibition attenuated endothelial flow alignment, elongation, and nuclear polarization in response to laminar FSS in vitro and in vivo. Among the flow-responsive genes sensitive to TERT status, HMOX1 was required for endothelial alignment to laminar FSS.

Conclusions:

These data suggest an important role for a PGC1α-TERT-HMOX1 axis in the endothelial stabilization response to laminar FSS.
Mechanical Thrombectomy of the Fetal Posterior Cerebral Artery
Authors: Abdalkader Mohamad , Sahoo Anurag , Dmytriw Adam A. , Brinjikji Waleed , Dabus Guilherme , Raz Eytan , Renieri Leonardo , Laiso Antonio , Maud Alberto , Martínez‐Galdámez Mario , Galván‐Fernández Jorge , Schüller‐Arteaga Miguel , Al‐Mufti Fawaz , Amuluru Krishna , Fifi Johanna T. , Majidi Shahram , Khandelwal Priyank , Moore Justin M. , Ortega‐Gutierrez Santiago , Hassan Ameer E. , Siegler James E. , Nagel Simon , Zaidat Osama O. , Nguyen Thanh N.
Published: November 2021

Background

Fetal posterior cerebral artery (FPCA) occlusion is a rare but potentially disabling cause of stroke. While endovascular treatment is established for acute large vessel occlusion stroke, FPCA occlusions were excluded from acute ischemic stroke trials. We aim to report the feasibility, safety, and outcome of mechanical thrombectomy in acute FPCA occlusions.

Methods

We performed a multicenter retrospective review of consecutive patients who underwent mechanical thrombectomy of acute FPCA occlusion. Primary FPCA occlusion was defined as an occlusion that was identified on the pre‐procedure computed tomography angiography or baseline angiogram whereas a secondary FPCA occlusion was defined as an occlusion that occurred secondary to embolization to a new territory after recanalization of a different large vessel occlusion. Demographics, clinical presentation, imaging findings, endovascular treatment, and outcome were reviewed.

Results

There were 25 patients with acute FPCA occlusion who underwent mechanical thrombectomy, distributed across 14 centers. Median National Institutes of Health Stroke Scale on presentation was 16. There were 76% (19/25) of patients who presented with primary FPCA occlusion and 24% (6/25) of patients who had a secondary FPCA occlusion. The configuration of the FPCA was full in 64% patients and partial or “fetal‐type” in 36% of patients. FPCA occlusion was missed on initial computed tomography angiography in 21% of patients with primary FPCA occlusion (4/19). The site of occlusion was posterior communicating artery in 52%, P2 segment in 40% and P3 in 8% of patients. Thrombolysis in cerebral infarction 2b/3 reperfusion was achieved in 96% of FPCA patients. There were no intraprocedural complications. At 90 days, 48% (12/25) were functionally independent as defined by modified Rankin scale≤2.

Conclusions

Endovascular treatment of acute FPCA occlusion is safe and technically feasible. A high index of suspicion is important to detect occlusion of the FPCA in patients presenting with anterior circulation stroke syndrome and patent anterior circulation.

Novelty and significance

This is the first multicenter study showing that thrombectomy of FPCA occlusion is feasible and safe.
The Socioeconomic Covariates of Violent and Property Crime Rates in Azerbaijan
Authors: Shahbazov Ingilab , Afandiyev Zaur
Published: November 2021

The majority of the studies exploring the relationship between socioeconomic factors and crime levels are confined to major industrialized nations. As a post-Soviet, transitional economy with a predominantly Muslim population, Azerbaijan provides a different setting to explore how socioeconomic indicators affect police-recorded violent and property crime levels across cities and districts. This study finds a positive relationship between GRP per capita, the proportion of pupils admitted to university and population size property crime levels. The relationship was linear in all cases. The geographical units with more social benefit (pensions, disability, and family care) recipients had lower acquisitive crime levels, though the significance was marginal. The higher the number of targeted social assistance recipients for poverty alleviation is, the higher the rate of violent crime is, which differs from the findings of similar previous studies. Overall, socioeconomic predictors were significantly better in explaining variations for offences against the property (r=.481) than violent crimes (r=.073). These findings suggest that different crime types are better explained by different economic indicators in the Azerbaijani context. Furthermore, the study shows that most of the covariates function in ways which are observed in the societies covered by the literature.