bluuebunny/crossref_metadata_2025 huggingface dataset:
Outcomes of a Trans-Web Approach to Fractures around the Finger Metacarpophalangeal Joint
Authors: ITADERA Eichi , OKAMOTO Seiji
Published: June 2022

Background: A fracture around the finger metacarpophalangeal joint (MCPJ) can be difficult to access. We developed a trans-web approach that could lead surgeons directly to this site. An incision across the web is believed to result in a web contracture. The aim of this study is to present the outcomes of the trans-web approach.

Methods: This is a retrospective study of all patients in whom a trans-web approach was used to fix fractures around the MCPJ in the period from October 2008 and September 2020. The outcomes of the trans-web approach were evaluated by appearance of the scar, presence of pain in relation to the scar, grading web creep, range of motion at the MCPJ and degree of abduction and adduction of the finger. Any complications of surgery were also recorded.

Results: This study included 10 patients with 11 fractures around the MCPJ (6 avulsion fractures and 5 extra-articular fractures). The mean follow-up was 5 months. Skin contractures did not occur in any avulsion fracture case where original or extended trans-web skin incisions were used. However, they occurred in 2 extra-articular cases treated via a trans-web plus a mid-lateral approach. The mean range of motion of the MCP joint in all the patients was 80° (range, 70°–95°). There was a 10° loss of abduction in one patient and temporary sensory disturbance in another patient. Both these patients had been treated with extended incisions.

Conclusions: The trans-web incision is a useful approach for the open reduction of fractures around the finger MCPJ, especially in avulsion fractures of the lateral volar base of the proximal phalanx with minimal risk of scar contracture. The risk of scar contracture is higher when the trans-web incision is combined with a mid-lateral incision for extra-articular fractures.

Levels of Evidence: Level IV (Therapeutic)
COVID-19 Along with Other Chest Infection Diagnoses Using Faster R-CNN and Generative Adversarial Network
Authors: Mostafiz Rafid , Uddin Mohammad Shorif , Uddin Khandaker Mohammad Mohi , Rahman Mohammad Motiur
Published: June 2022

The rapid spreading of coronavirus (COVID-19) caused severe respiratory infections affecting the lungs. Automatic diagnosis helps to fight against COVID-19 in community outbreaks. Medical imaging technology can reinforce disease monitoring and detection facilities with the advancement of computer vision. Unfortunately, deep learning models are facing starvation of more generalized datasets as the data repositories of COVID-19 are not rich enough to provide significant distinct features. To address the limitation, this article describes the generation of synthetic images of COVID-19 along with other chest infections with distinct features by empirical top entropy-based patch selection approach using the generative adversarial network. After that, a diagnosis is performed through a faster region-based convolutional neural network using 6,406 synthetic as well as 3,933 original chest X-ray images of different chest infections, which also addressed the data imbalance problems and not recumbent to a particular class. The experiment confirms a satisfactory COVID-19 diagnosis accuracy of 99.16% in a multi-class scenario.
Crafting Trajectories of Smart Phone Use at the Opera
Authors: Greenhalgh Chris , Hazzard Adrian , Benford Steve , Cliffe Laurence , Kelly Elizabeth
Published: June 2022

Losing Her Voice
is a new opera which highlights the challenges of subtly interweaving digital technologies into established cultural forms. Audience members were encouraged to use their own mobile phones to interact with on-stage projections before, during and after the performance. We chart the trajectories of participation that were designed into the premiere performances of this work, and how these unfolded in practice. We identify the strategies that were effective to: encourage the adoption of the mobile app; interweave use with the other elements of the opera performance; make it consistent with the content; and ensure it complemented but was not essential to the show. We highlight the way in which three canonical trajectories must be woven together in this experience: the standard trajectory of “a night at the opera”; the dramatic arc of the specific work, and the audience member's use of their own device.
Polycystin-2 (PC2) is a key determinant of in vitro myogenesis
Authors: Márquez-Nogueras Karla M. , Vuchkovska Virdjinija , DiNello Elisabeth , Osorio-Valencia Sara , Kuo Ivana Y.
Published: June 2022

The development of skeletal muscle (myogenesis) is a well-orchestrated process where myoblasts withdraw from the cell cycle and differentiate into myotubes. Signaling by fluxes in intracellular calcium (Ca2+) is known to contribute to myogenesis, and increased mitochondrial biogenesis is required to meet the metabolic demand of mature myotubes. However, gaps remain in the understanding of how intracellular Ca2+ signals can govern myogenesis. Polycystin-2 (PC2 or TRPP1) is a nonselective cation channel permeable to Ca2+. It can interact with intracellular calcium channels to control Ca2+ release and concurrently modulates mitochondrial function and remodeling. Due to these features, we hypothesized that PC2 is a central protein in mediating both the intracellular Ca2+ responses and mitochondrial changes seen in myogenesis. To test this hypothesis, we created CRISPR/Cas9 knockout (KO) C2C12 murine myoblast cell lines. PC2 KO cells were unable to differentiate into myotubes, had impaired spontaneous Ca2+ oscillations, and did not develop depolarization-evoked Ca2+ transients. The autophagic-associated pathway beclin-1 was downregulated in PC2 KO cells, and direct activation of the autophagic pathway resulted in decreased mitochondrial remodeling. Re-expression of full-length PC2, but not a calcium channel dead pathologic mutant, restored the differentiation phenotype and increased the expression of mitochondrial proteins. Our results establish that PC2 is a novel regulator of in vitro myogenesis by integrating PC2-dependent Ca2+ signals and metabolic pathways.
Background suppression of electrical activity is a potential biomarker of subsequent brain injury in a rat model of neonatal hypoxia-ischemia
Authors: Zayachkivsky A. , Lehmkuhle M. J. , Ekstrand J. J. , Dudek F. E.
Published: June 2022

Biomarkers of neonatal brain injury are needed. Hypoxia-ischemia (HI) in immature rat pups caused severe brain injury, which was associated with strongly suppressed background EEG. The suppression was most robust in the β and γ bands; it started immediately after the HI injury and persisted for days. Thus, background suppression may be a noninvasive biomarker for detecting severe brain injuries and may help predict subsequent epilepsy.
Evaluation of functional MRI-based human brain parcellation: a review
Authors: Moghimi Pantea , Dang Anh The , Do Quan , Netoff Theoden I. , Lim Kelvin O. , Atluri Gowtham
Published: June 2022

Brain parcellations play a crucial role in the analysis of brain imaging data sets, as they can significantly affect the outcome of the analysis. In recent years, several novel approaches for constructing MRI-based brain parcellations have been developed with promising results. In the absence of ground truth, several evaluation approaches have been used to evaluate currently available brain parcellations. In this article, we review and critique methods used for evaluating functional brain parcellations constructed using fMRI data sets. We also describe how some of these evaluation methods have been used to estimate the optimal parcellation granularity. We provide a critical discussion of the current approach to the problem of identifying the optimal brain parcellation that is suited for a given neuroimaging study. We argue that the criteria for an optimal brain parcellation must depend on the application the parcellation is intended for. We describe a teleological approach to the evaluation of brain parcellations, where brain parcellations are evaluated in different contexts and optimal brain parcellations for each context are identified separately. We conclude by discussing several directions for further research that would result in improved evaluation strategies.
The Anti-Cytokine Storm Activity of Quercetin Zinc and Vitamin C Complex
Authors: Sahib Hayder B. , Kathum Omer Abid , Alanee Rafal Shakeeb , Jawad Rehab A. M , Al-Shammari Ahmed Majeed
Published: June 2022

Cytokine storm is one of the causative deaths in a patient with severe acute respiratory syndrome. This study aimed at evaluating the prophylaxis effect of quercetin complexes with zinc and buffered ascorbic acid upon cytokine storm induction in mice and identifying the complex’s acute toxicity. Mice were randomly divided into three groups: group A, control group, received 0.9% normal saline; group B received 100 mg/kg of the complex one hour before lipopolysaccharide (LPS) administration; and group C received the LPS IP 5 mg/kg. Then, levels of interleukin 1 and interleukin 6 were measured in the serum, and lung and kidney tissues were investigated for any changes that may have happened. Thirty mice were used to investigate the acute toxicity; mice were distributed into six groups: one control group and five treated groups; then several serial dilutions from the complex have been prepared for different concentrations from 5 g/kg to 0.312 g/kg. The animals were observed for 14 days. The LD50 was deduced by the straight-line equation calculated from the dose-response curve. The results in this study showed that group A had no significant tissue change. LPS group C showed tissue damage in the lung and kidney, which significantly prevented by the pretreated complex in group B. Moreover, the complex’s acute toxicity value (LD50) was 655 mg/kg. In conclusion, the complex has significantly ameliorated LPS-induced acute lung and kidney injury, largely through suppression of inflammation; the large lethal dose value may make the complex have a promising therapeutic effect in the prevention of cytokine storm.
Research on the Efficiency Evaluation of Cross-Organizational Knowledge Synergy in Industry University Cooperation Based on BP Neural Network Algorithm
Authors: Jing Li
Published: June 2022

The difference of decision-making knowledge among members is conducive to the successful realization of group cooperative production. In the actual production, if the different knowledge environments between organizations can cooperate and penetrate each other, the common knowledge of groups can be formed, which is a key step to successfully solve the social and economic problems of public resources. The final efficiency of cross-organizational knowledge collaboration is the key to measure the success or failure of collaboration. Because the cross-organizational knowledge synergy efficiency of industry university cooperation is the result of the cross-influence of many factors, the general linear regression model is difficult to describe the relationship between these influencing factors and knowledge synergy efficiency. Based on the analysis of the importance of cross-organizational knowledge sharing efficiency evaluation of industry university cooperation, this study constructs the efficiency evaluation index system from different angles. At the same time, based on the field investigation of the index system, BP network model is established to effectively evaluate the collaborative efficiency.
Comparison of Two Manual Therapy Programs, including Tendon Gliding Exercises as a Common Adjunct, While Managing the Participants with Chronic Carpal Tunnel Syndrome
Authors: Sheereen Fauzia Javed , Sarkar Bibhuti , Sahay Pallavi , Shaphe Mohammad Abu , Alghadir Ahmad H. , Iqbal Amir , Ali Taimul , Ahmad Fuzail
Published: June 2022

Background. Carpal tunnel syndrome (CTS) is the symptomatic compression neuropathy of the median nerve at the wrist level that may become a reason for upper limb disability, in the women and men population. Objective. This study aimed to compare the efficacy of the neurodynamic technique (NT) and carpal bone mobilization technique (CBMT) incorporated with tendon gliding exercises (TGE) as an effect-enhancing adjunct while managing the participants with chronic CTS. Methods. The study followed a two-arm parallel-group randomized comparative design. Thirty participants (aged 30–59 years) with chronic CTS were recruited randomly to both the NT and CBMT groups. In addition to the TGE (a common adjunct), NT and CBMT were performed in the NT and CBMT groups, respectively, for three weeks. The primary outcome measures including pain intensity, functional status, grip strength, and motor nerve conduction study were assessed using a visual analogue scale (VAS), Boston Carpal Tunnel Questionnaire (BCTQ), hand-held dynamometer, and electromyograph, respectively, at baseline, 3 weeks postintervention, and follow-up at one week post end of the intervention. Paired and unpaired t-test were used to calculate the differences in intervention effects within and between the groups with keeping the level of significance α at 0.05. Results. The data analysis revealed a significant (95% CI,

p
<
0.05

) difference for all outcomes within each group compared across different time intervals. Similarly, a significant difference was found for all outcomes except pain and grip strength compared between groups at 3 weeks postintervention and follow-up at one week post end of the intervention. Conclusions. The NT revealed more effectiveness than the CBMT when incorporated with TGE to improve nerve conduction velocity and functional status of the hand. However, both NT and CBMT were equally effective in improving pain and grip strength while managing the participants with chronic CTS. In addition, the TGE contributed as a beneficial, effect-enhancing adjunct to the NT and CBMT differently. Significance. The study will guide the physiotherapist in applying either of the combination techniques suitable for achieving treatment objectives while managing the participants with chronic CTS.
Simulation Analysis of Coupled Structural Vibration of Highway Railway Combined Bridge Induced by Overlapping Action of Vehicle and Train
Authors: Wan Peng , Lei Xiaoyan , Wu Weibin , Hu Qiongqing , Wan Ling , Li Guilin
Published: June 2022

In order to study the dynamic response of bridge coupling caused by the overlapping of vehicle and railway dynamic loads, by using the time-domain samples of pavement irregularity compiled by MATLAB software and the secondary development function of ANSYS software, the vehicle, bridge, and train models are established in ANSYS software at the same time, and the train supported beam bridge coupling program is compiled with MATLAB software. The model considers the influence of initial conditions and vehicle speed on the system before entering the bridge, the interaction between the coupled large-scale highway and railway bridge system, and the influence of different adverse factors on the system. The influence of a vehicle or train on the bridge structure when the vehicle or train passes through the continuous steel truss bridge under different factors is calculated, respectively, and the displacement and acceleration limits of the bridge are evaluated in combination with the corresponding specifications.
Execution of Multitarget Node Selection Scheme for Target Position Alteration Monitoring in MANET
Authors: Venu Nookala , Yuvaraj D. , Barnabas Paul Glady J. , Pattnaik Omkar , Singh Gurpreet , Singh Mahesh , Adigo Amsalu Gosu
Published: June 2022

In mobile network, nodes are normally placed in some locations after travelling with various speeds to another location. Packets were broadcast to some location receiver node, but they are moved to another location, due to that node is not able to receive those packets. Attacker node present in routing path should accept those packets, and it acts as original node. Communication privacy is reduced for mobile network. It improves the communication overhead and end to end delay. So, the proposed Enhanced Packet Acceptance for Target Position Alteration (EPATP) technique exactly monitors the target node position, depending on the position to assign the relay node for packet forwarding from sender to target node. Multiaccepter Assigning Algorithm is designed, and if any target node should not receive those packets, it provides another chance for packet receiving by next target node, and it assigns multiple target node for accuracte communication. It reduces communication overhead and end to end delay.
The Optimal Supply Decision Based on Dynamic Multiobjective Optimization and Prediction
Authors: He Kejia , Cheng Hongyu , Zhou Yuchen , Xie Cuihua
Published: June 2022

Different material supply-related decisions intensively affect the efficiency of manufacturers. To obtain a suitable supply-related protocol, this study proposes a supply selection model which considers both manufacturers’ development orientation and material ordering. In contrast to traditional approaches that rely on expert opinions, the proposed approach in this study allows the time series analysis (ARIMA) to forecast the trend in manufacturers’ development during the execution of the plan. Based on the predicted trend, taking the minimum of total material management cost as the objective function, the control function and optimization conditions are constructed to select the appropriate protocol. The dynamic prediction protocol is obtained by considering the variation in production and material costs by an evolutionary algorithm. The model enables users to determine material supply protocol in continuous time and autonomously adapt to changes in the manufacturers’ production goals within a lower convergence time.
Analysis of the Effect of Laparoscopic and Open Surgical Treatment in Children with Congenital Megacolon
Authors: Chen Ziyi , Zheng Bin , Yang Hai , Fang Zhiwei , Liu Qiue , Zheng Qingxiang
Published: June 2022

In this paper, we have compared and analyzed the effect of laparoscopic and open surgical treatments in children with congenital megacolon. To address this, a total of 64 children with congenital megacolon who underwent surgery in the hospital, particularly from April 2014 to December 2020, were selected as the research objects. They were divided into control and observation groups by the random number table method, with 32 cases in each group. The control and observation groups were treated with open surgical and laparoscopic treatments, respectively. The treatment effects of the two groups were compared. The enema time, operation time, blood loss, anal defecation time, and duration of postoperative hospital stay of the observation group were lower than those of the control group. The comparison between the two groups was statistically significant (

P
<
0.05

). There was no significant difference in CRP and WBC between the two groups before surgery (

P
>
0.05

). The CRP level and WBC of the two groups were both increased after operation, the CRP level of the observation group was lower than that of the control group, the difference was statistically significant (

P
<
0.05

), the WBC of the two groups was not statistically significant (

P
>
0.05

). The rate of excellent and good defecation in the observation group on the 7th day after surgery was higher than that in the control group, and the difference was statistically significant (

P
<
0.05

). There was no significant difference in Krickenbeck scores between the two groups before surgery (

P
>
0.05

); 6 months after the surgery, the score of Krickenbeck in both groups increased, and that of the observation group was higher than that of the control group, indicating a difference in the overall score (

P
<
0.05

). The total complication rate within 7 days after surgery in the observation group was lower than that in the control group, and the difference was not statistically significant (

P
>
0.05

). Laparoscopic treatment of congenital megacolon could improve surgical indicators and reduce stress response in children, improve defecation and anal function, reduce the risk of complications, and promote recovery.
Combined Surgical and Restorative Procedures to Treat Maxillary Canine with Gingival Recession and Cervical Wear
Authors: Khursheed Dler Ali , Zardawi Faraedon Mostafa
Published: June 2022

Introduction. Gingival recession (GR) with cervical tooth wear is a major concern for patients on the prominent maxillary canines, from both esthetic and dentine hypersensitivity points of view. Hypersensitivity could be treated nonsurgically; however, esthetics remain the major patients’ concern that mostly requires surgical intervention for covering the denuded root surface. Several surgical procedures are applied successfully for covering single and multiple gingival recession; however, these procedures are sensitive procedures and not always predictable. Semilunar coronally repositioned flap (SCRF) is a very simple procedure that found to be very predictable for covering a single recession in presence of sufficient keratinized gingiva apical to the recession. The procedure provides better clinical outcome by involving less adjacent papillary tissue that maintains greater blood supply and achieves maximum flap stability with mattress sutures with minimal postoperative complications. Therefore, this case report is aimed at explaining the simplicity of this surgical procedure in the presence of wide keratinized tissue around the recession and starting the restorative procedure after a sufficient soft tissue healing period. Case Presentation. 42-year-old systemically healthy female patient referred with a single wide gingival type 1 (RT1) and cervical wear around tooth #43. A semilunar coronally repositioned flap was released and advanced coronally to cover the denuded root totally; then, the flap stabilized by three mattress sutures, and complete root coverage was achieved. Six months later, the cervical lesion was restored with composite filling material. Sixteen-month and 32-month postoperative follow-up revealed full coverage of the denuded root surface with firm stable gingiva; later, the gingiva in the area looked stable and healthy. Conclusion. Using SCRF in treating RT1 recession in the presence of wide keratinized gingiva is very promising surgical intervention for receded root coverage that requires less technical skill.
[Retracted] Prognostic Value of Stem Cell Index‐Related Characteristics in Primary Hepatocellular Carcinoma
Authors: Rao Guihua , Pan Huifen , Sheng Xia , Liu Jin
Published: June 2022

The objective of this study is to form a cancer stem cell index‐based model to stratify HCC risk and predict survival. After screening the Tumor Genome Atlas (TCGA) of liver and normal liver tissue samples, we obtained differentially expressed genes (DEGs). We employed a weighted correlation network analysis (WGCNA) and differentially expressed genes were studied in HCC to find the modules most associated with cancer stem cells (mRNAsi). At the same time, gene ontology and Kyoto Genome Encyclopedia (KEGG) were used for functional annotation and combined with LASSO, univariate, and multivariate COX regression analyses, a prediction model of key module genes of cancer stem cells was developed. The model’s clinical efficacy was measured using the C index, calibration curve, multiindex ROC curve, and clinical decision curve. WGCNA found that black modules were most correlated with tumour stem cell index. Seven genes (CSDC2, GNA14, LGI2, MMRN1, PDE2A, SELP, and STK32B) were filtered by univariate, LASSO, and multivariate Cox regression analyses to establish the primary HCC model. The survival analysis and ROC curve in the TCGA training and validation cohort showed good performance. The independent prognostic factor of primary HCC was risk score, according to univariate and multivariate Cox regression analyses. It is found that the stem cell index model of 7 genes could predict factors independently, indicating that signatures of the stem cell will play a significant role in liver cancer survival prediction and risk stratification.
L-Shell X-Ray Conversion Yields for Laser-Irradiated Tin and Silver
Foils
Authors: Singh R.L. , White S. , Charlwood M. , Keenan F.P. , Hyland C. , Bailie D. , Audet T. , Sarri G. , Rose S. J. , Morton J. , Baird C. , Spindloe C. , Riley D. , Pikuz Sergey
Published: June 2022

We have employed the VULCAN laser facility to generate a laser plasma
X-ray source for use in photoionization experiments. A nanosecond laser
pulse with an intensity of order 1015
Wcm−2 was used to irradiate thin Ag or Sn foil
targets coated onto a parylene substrate, and the L-shell emission in the
3.3–4.4 keV range was recorded for both the laser-irradiated and
nonirradiated sides. Both the experimental and simulation results show
higher laser to X-ray conversion yields for Ag compared with Sn, with our
simulations indicating yields approximately a factor of two higher than
those found in the experiments. Although detailed angular data were not
available experimentally, the simulations indicate that the emission is
quite isotropic on the laser-irradiated side but shows close to a cosine
variation on the nonirradiated side of the target as seen experimentally in
the previous work.
Reinforcement Mechanism and Engineering Application of Weak Tailing Pond Beach by Soilbag Method
Authors: Xuan Cui , Shuang Li , Han-min Zhou , Hui Cao
Published: June 2022

In light of the engineering characteristics of fine-grained tailings, such as their high moisture content, high compressibility, difficult deposition, and difficult consolidation, and based on the summary and analysis of the experience of tailing dam construction in China and abroad, a new comprehensive treatment technology suitable for dam construction on a weak beach, which is composed of strengthening foundation with the soilbag, subdam stabilization, and collaborative drainage, is proposed. Taking a dam construction project on the weak beach of a tailing pond in China as the research object and through the study of the reinforcement mechanism of the soft beach treated using the soilbag method, it can be seen that the soilbag body has the mechanism of strength growth by sand fixation and water permeability and constraint formation and can achieve an overall stable effect of extrusion and silt replacement, stacking and surcharge, and flexible embedding in a weak beach. Using this method, combined with relevant monitoring technology, a good demonstration of dam construction speed of up to 30 m/a and a safe dam construction height of up to 60 m on a weak beach surface is achieved in a tailing dam construction project, which provides a good reference for the design and construction of fine tailing dam engineering and the cooperative disposal of adverse geological conditions.
Construction Model of E-Commerce Agricultural Product Online Marketing System Based on Blockchain and Improved Genetic Algorithm
Authors: Chao Sun
Published: June 2022

To build an agricultural product network marketing system in the era of e-commerce, it is necessary for agricultural product business enterprises or farmers to recognize the benefits of using e-commerce to market agricultural products and face up to its influencing factors and to build a support system, application system, and guarantee system with the support of the government to promote agricultural product e-commerce marketing to obtain healthy development. In this study, we study the construction mode of e-commerce agricultural product online marketing system based on the end of blockchain and improved genetic algorithm. This study adopts the design idea of coalition chain and proposes a multichain agricultural product trading information blockchain application technology including agricultural product trading information chain, user information chain, and agricultural product information chain. The agricultural product information chain provides detailed information of agricultural products and ensures the traceability and non-tamperability of the information. It automatically divides the profits of transactions through smart contracts to improve execution efficiency and reduce transaction costs and finally establishes a transparent, efficient, and applicable blockchain architecture for agricultural product transactions.
Antifungal Activities of Phytochemically Characterized Hydroethanolic Extracts of Sclerocarya birrea Leaves and Stem Bark against Fluconazole‐Resistant Candida albicans Strains
Authors: Harley Benjamin Kingsley , Neglo David , Aggrey Mike Okweesi , Quagraine Anthony Martin , Orman Emmanuel , Jato Jonathan , Mireku-Gyimah Nana Ama , Amengor Cedric Dzidzor K. , Fleischer Theophilus Christian
Published: June 2022

The study evaluated the antifungal activities of the 70% ethanol extracts of Sclerocarya birrea leaves (SBL) and stem bark (SBB) against C. albicans strains and fluconazole‐resistant isolates, their antifungal effects in combination with conventional antifungals as well as their effects on the biofilms of the C. albicans strains and isolates. UPLC‐QTOF‐MS/MS analysis was then carried out to investigate the metabolite profile of the extracts and UPLC fingerprints developed for their routine identification as part of quality control measures. The extracts exhibited considerable antifungal activity with MIC ranging from 12.21 to 97.66 μg/mL and MFC from 12.21 to 390.63 μg/mL against the C. albicans strains and isolates. The antifungal activity of the stem bark extract was higher than the leaf extract. SBL and SBB also significantly inhibited biofilm formation (IC50 = 12.49 to 164.42 μg/mL) and the mature biofilms (IC50 = 91.50 to 685.20 μg/mL) of the strains and isolates of the C. albicans and demonstrated potential for their use in combination therapies with currently used antifungals especially the stem bark extract with nystatin. Metabolite profiling identified the presence of polyphenolic compounds in both leaves and stem bark mostly flavonoids, their derivatives, and proanthocyanidins, which contribute in part to the bioactivity of the plant. Whereas flavonoids like quercetin, myricetin, and their derivatives were abundant in the leaves, epicatechin monomers with their condensed tannins, including procyanidin B2 and procyanidin C, were abundant in the stem bark. Fingerprints of SBL and SBB were developed and validated and could be used as qualitative tools to authenticate the plant. The outcomes of the study show the promise of the leaf and stem bark extracts of S. birrea to be studied further and developed as antifungal agents.
A Regulated Anticounterfeiting Traceability Metamodel Based on Blockchain in Supply Chain in the Era of IR 4.0
Authors: Ji Tan , Goyal S. B. , Arumugam Sampathkumar
Published: June 2022

In order to solve the problems of information island, information tampering and forgery, and information asymmetry between enterprises and consumers in the supply chain and to improve the efficiency of the whole system and realize the interconnection and effective supervision of supply chain information, the typical links of supply chain supervision system based on blockchain are abstracted through the comprehensive analysis of supply chain business processes and data characteristics. A regulatory anticounterfeiting traceability metamodel based on blockchain in the supply chain is constructed. Combined with the data of the supply chain system of a rice processing enterprise, a case study is carried out. The anticounterfeiting and traceability supervision metamodel based on the blockchain can be well applied to the rice supply chain system; solve the problems of data privacy encryption, secure storage, and authority management in the rice supply chain; and realize the interconnection and effective supervision of supply chain information. For enterprises in different positions in the supply chain, a unified anticounterfeiting traceability platform is established through the model, which can provide security and privacy protection for all kinds of enterprise data at the same time; for consumers, the model meets the security and traceability of each data of purchasing goods and ensures the integrity and authenticity of the data. The research content of this paper can provide a practical application solution for supply chain security supervision.
Tibial Plasmablastic Lymphoma in a HIV-Negative Child: A Novel Extraoral Localisation
Authors: Mala Ali , Khan Yameena Noman , Ahmed Akbar , Khayyam Naema , Aftab Kanwal
Published: June 2022

Plasmablastic lymphoma is an aggressive, high-grade non-Hodgkin lymphoma predominantly seen in HIV-infected individuals. Alongside a strong correlation with HIV, PBL can manifest in immunocompromised HIV-negative patients. A rare case of PBL in an immunocompetent and otherwise healthy child presented to Indus Hospital & Health Network (IHHN), Karachi, Pakistan. The patient had complaints of swelling and pain in the right leg and was referred from a city in Interior Sindh. Histopathological analysis revealed sheets and aggregates of neoplasm replacing bone marrow interspersed with sclerotic bony fragments. Large, monomorphic, multinucleated neoplastic cells containing abundant cytoplasm and scattered pleomorphic cells were also noted, leading to the diagnosis of tibial plasmablastic lymphoma. A FAB/LMB96 group C chemotherapy regimen for aggressive and high-risk cancer was administered with a marked improvement in clinical symptoms.
Sensitivity Analysis with the Monte Carlo Method and Prediction of Atenolol Removal Using Modified Multiwalled Carbon Nanotubes Based on the Response Surface Method: Isotherm and Kinetics Studies
Authors: Amin Mohammad Mehdi , Bagheri Nasrin , Mohammadi Farzaneh , Dehdashti Bahare
Published: June 2022

Atenolol (ATN) is a β-blocker drug extensively used to treat arrhythmias and high blood pressure. Because the human body cannot metabolize it completely, this drug has been commonly found in many environmental matrices. In the present study, the response surface method (RSM) was used for adsorption prediction of ATN on modified multiwalled carbon nanotubes (M-MWCNTs) by NaOCl and ultrasonic. The sensitivity analysis was done by the Monte Carlo method. Sensitivity analysis was performed to determine the effective parameter by the Monte Carlo simulator. Statistical analysis of variance (ANOVA) was performed by using the nonlinear second-order model of RSM. The influential parameters including contact time (min), adsorbent dosage (g/L), pH, and the initial concentration (mg/L) of ATN were investigated, and optimal conditions were determined. Kinetic of ATN adsorption on M-MWCNTs was evaluated using pseudo-first, pseudo-second-order, and intraparticle diffusion models. Equilibrium isotherms for this system were analyzed by the ISOFIT software. As per our result, optimum conditions in the adsorption experiments were pH 7, 60 min of contact time, 0.5 mg/L ATN initial concentration, and 150 mg/L adsorbent dose. In terms of ATN removal efficiency, coefficients of R2 and adjusted R2 were 0.999 and 0.998, respectively. Sensitivity analysis also showed that contact time has the greatest effect on increasing the removal of ATN. Pseudo-first-order (R2 value of 0.99) was the best kinetic model for the adsorption of ATN, and for isotherm, BET (AICC value of 3.27) was the best model that fit the experimental data. According to the obtained results from sensitive analysis, time was the most important parameter, and after that, the adsorbent dose and pH affect positively on ATN removal efficiency. It can be concluded that the modified multiwalled carbon nanotubes can be applied as one of the best adsorbents to remove ATN from the aqueous solution.
Application of Blockchain Technology in Intellectual Property Protection
Authors: Luo Liya
Published: June 2022

The emergence of digital copyright in the internet era altered the traditional method of information dissemination and triggered a new copyright revolution, which benefited copyright owners by increasing revenue. However, as a result of the efficiency and convenience of technical capture, the data-based form of copyright faces new challenges and the emergence of a large number of infringement acts has become a barrier to the development of the digital copyright industry. Blockchain technology is decentralized, impenetrable, timestamped, traceable, and capable of smart contracts, among other characteristics. It was initially applied in the financial sector before being expanded to other sectors, resulting in a variety of blockchain + X models. The application of blockchain technology to digital copyright protection represents an attempt to protect copyright owners’ rights through the use of a novel technical method and protection concept, and it has a bright future. This study analyzes the current state of digital copyright protection in detail, discusses the benefits of applying blockchain technology in three areas: digital copyright registration and confirmation, transaction monitoring, and evidence maintenance, as well as the potential difficulties associated with the application of blockchain technology, and finally considers and proposes the system design for blockchain technology in the application of digital copyright protection. The study discovered that by utilizing blockchain technology to establish a unified blockchain digital copyright protection platform, it is possible to completely and efficiently record the entire process of copyright registration and confirmation, monitor data capture infringement, provide objective electronic evidence, reduce the cost of copyright owner rights protection, and increase the success rate of judicial remedies.
Prevalence of Intestinal Parasites among Immunocompromised Patients, Children, and Adults in Sana’a, Yemen
Authors: Al-Yousofi Asma , Yan Yongmin , Al_Mekhlafi Abdulsalam M. , Hezam Kamal , Abouelnazar Fatma A. , Al-Rateb Balqees , Almamary Hafsah , Abdulwase Rasheed
Published: June 2022

Intestinal parasite infection (IPI) is still a very important public health issue. The severity of the parasitic disease has been reported as a high infection in immunocompromised patients and children. Hence, this study aimed to investigate the prevalence of intestinal parasites among immunocompromised patients and children with various gastrointestinal system complications in Sana’a city, Yemen, with different variables, including genus and age, and explore the risk factors associated with parasitic intestinal infections. The study socioeconomic data and certain behavioral and environmental risk factors and stool samples were collected from immunocompromised adult and children’s patients, including children (one to eight years old), pregnant women, diabetes mellitus patients, cancer patients, HIV patients, and older adults. Out of 436 fecal samples, the overall prevalence rate of IPIs among immunocompromised patients and children in Sana’a was 51.8%. In contrast, the rate of infection in children (26.1%) was higher than that in old patients (25.7%) and in females (38.5%) and higher than that in males (13.3%). The protozoa (44.5%) have been shown more than intestinal helminths (7.3%) in samples, and the most common intestinal protozoan was Giardia lamblia and Entamoeba histolytica (13.8% and 12.8%), respectively. The most common intestinal helminthiasis was Hymenolepis nana with 1.8%. Concluding that the rate of infection was high for several reasons, including lack of commitment to hygiene as not handwashing after using the toilet (88.9%), eating uncovered food (56.3%), poor sanitation as lack of water sources (59.5%), reduced health education, and presence of other family members infected by parasites (61.3%). Interventions are required to reduce intestinal parasites, including health education on personal hygiene for patients, increasing awareness, and improving the environment and healthcare system.
Improving Performance of Automated Essay Scoring by Using Back-Translation Essays and Adjusted Scores
Authors: Jong You-Jin , Kim Yong-Jin , Ri Ok-Chol
Published: June 2022

Automated essay scoring plays an important role in judging students’ language abilities in education. Traditional approaches use handcrafted features to score and are time consuming and complicated. Recently, neural network approaches have improved performance without any feature engineering. Unlike other natural language processing tasks, only a small number of datasets are publicly available for automated essay scoring, and the size of the dataset is not sufficiently large. Considering that the performance of a neural network is closely related to the size of the dataset, the lack of data limits the performance improvement of the automated essay scoring model. In this study, we proposed a method to increase the number of essay-score pairs using back translation and score adjustment and applied it to the Automated Student Assessment Prize dataset for augmentation. We evaluated the effectiveness of the augmented data using models from prior work. In addition, performance was evaluated in a model using long short-term memory, which is widely used for automated essay scoring. The performance was improved by using augmented data.
An Enhanced Multifactor Multiobjective Approach for Software Modularization
Authors: Zakir Khan Muhammad , Naseem Rashid , Anwar Aamir , ul-Haq Ijaz , Hussain Saddam , Alroobaea Roobaea , Ullah Syed Sajid , Umar Fazlullah
Published: June 2022

Complex software systems, meant to facilitate organizations, undergo frequent upgrades that can erode the system architectures. Such erosion makes understandability and maintenance a challenging task. To this end, software modularization provides an architectural-level view that helps to understand system architecture from its source code. For modularization, nondeterministic search-based optimization uses single-factor single-objective, multifactor single-objective, and single-factor multiobjective, which have been shown to outperform deterministic approaches. The proposed MFMO approach, which uses both a heuristic (Hill Climbing and Genetic) and a meta-heuristic (nondominated sorting genetic algorithms NSGA-II and III), was evaluated using five data sets of different sizes and complexity. In comparison to leading software modularization techniques, the results show an improvement of 4.13% in Move and Join operations (MoJo, MoJoFM, and NED).
Analysis of Human Exercise Health Monitoring Data of Smart Bracelet Based on Machine Learning
Authors: Ma Xiaoge
Published: June 2022

The smart bracelet has become a hot-selling commodity, according to a daily consumption survey. Based on people’s interest and concern for their health, the smart bracelet, as a design and application for achieving healthy weight loss monitoring, is quickly becoming a popular new favorite. This bracelet detects fat using the near-infrared diffuse reflection principle, with the goal of assisting people in controlling and maintaining a healthy weight. A large amount of data has been accumulated in all walks of life due to the development of the Internet network and data storage technology. As a result, the emergence of machine learning plays a critical role in the data analysis of human sports health monitoring of smart bracelets. Based on machine learning, this paper investigates the data analysis of human sports health monitoring smart bracelets. When the population index reaches 50 in the analysis of health monitoring data, the average accuracy of data mining is 86.8 percent, the average accuracy of the association rule algorithm is 85.9 percent, the average accuracy of the collaborative filtering algorithm is 84.3 percent, and the average accuracy of the machine learning algorithm is 90.1 percent in this paper. Among the four algorithms, the method presented in this paper is clearly the most effective, stable, and accurate. The system’s stability and accuracy have been greatly improved by the addition of GPS-assisted and hand-up misjudgment algorithms. Because the smart bracelet is inexpensive, easy to wear, and consistent with consumer psychology, it is becoming increasingly popular to use it to monitor the human body’s sports health.
Optimization Simulation of Dance Technical Movements and Music Matching Based on Multifeature Fusion
Authors: Dong Liusha
Published: June 2022

Music and dance videos have been popular among researchers in recent years. Music is one of the most important forms of human communication; it carries a wealth of emotional information, and it is studied using computer tools. In the feature engineering process, most present machine learning approaches suffer from information loss or insufficient extracted features despite the relevance of computer interface and multimedia technologies in sound and music matching tasks. Multifeature fusion is widely utilized in education, aerospace, intelligent transportation, biomedicine, and other fields, and it plays a critical part in how humans get information. In this research, we offer an effective simulation method for matching dance technique movements with music based on multifeature fusion. The initial step is to use music beat extraction theory to segment the synchronized dance movements and music data, then locate mutation points in the music, and dynamically update the pheromones based on the merits of the dance motions. The audio feature sequence is obtained by extracting audio features from the dancing video’s accompanying music. Then, we combine the two sequences to create an entropy value sequence based on audio variations. By comparing the consistency of several approaches for optimizing dance movement simulation trials, the optimized simulation method described in this research has an average consistency of 87%, indicating a high consistency. As a result, even though the background and the subject are readily confused, the algorithm in this research can keep a consistent recognition rate for more complicated dance background music, and the approach in this study can still guarantee a certain accuracy rate.
On Characterization of Graphs Structures Connected with Some Algebraic Properties
Authors: Huang Rongbing , Nadeem Muhammad , Rashid Iqra , Siddiqui M.K. , Fufa Samuel Asefa
Published: June 2022

In this paper, we have characterized graph structures connected with some algebraic properties. Also, this paper is actually the concatenation of graph theory and algebra. We have introduced left and right inverse graphs of antiautomorphic inverse property loops. Also, there is a connection between bipartite graphs and mathematical structures, commutator subloop, associator subloop, and associative part, the nucleus of the loop, through edge labeling.
Study on Evaluation of Leisure Diving Tourism Based on Fuzzy Comprehensive Method Optimized Bat Algorithm
Authors: Sun Jin
Published: June 2022

China’s leisure diving tourism has made gratifying achievements in the past years. It is necessary to evaluate the leisure diving tourism’s development level, and then the disadvantages of the leisure diving tourism can be found and the effective measures can be taken to develop the leisure diving tourism in China. A fuzzy comprehensive evaluation model based on the bat algorithm is proposed to solve the shortcomings of the fuzzy comprehensive evaluation method, which lacks a theoretical basis and completely depends on experience. Firstly, the basic conception of leisure diving tourism is discussed. Also, the main affecting factors of leisure diving tourism are analyzed. The evaluation model of leisure diving tourism developing level is constructed based on the fuzzy comprehensive method. The weight of the fuzzy comprehensive evaluation method is optimized by the bat algorithm to realize the optimal selection of weight. The fuzzy evaluation matrix is used to construct the judgment matrix to determine the weight of each evaluation index, and the bat algorithm is used to adaptively select the weight of the judgment matrix. Finally, three diving clubs are used as research objects to carry out evaluation analysis The results show that the fuzzy comprehensive evaluation method can effectively obtain the developing level of leisure diving tourism.