bluuebunny/crossref_metadata_2025 huggingface dataset:
Efficacy of comprehensive cognitive health management for Shanghai community older adults with mild cognitive impairment
Authors: Qiu Jiayuan , Zhao Lu , Xiao Shifu , Zhang Shaowei , Li Ling , Nie Jing , Bai Li , Qian Shixing , Yang Yang , Phillips Michael , Sheng Meiqing , Fang Yuan , Li Xia
Published: August 2022

Background

The management of modifiable risk factors and comorbidities may impact the future trajectory of cognitive impairment, but easy-to-implement management methods are lacking.

Aims

This study investigated the effects of simple but comprehensive cognitive health management practices on the cognitive function of older adults in the community with normal cognition (NC) and mild cognitive impairment (MCI).

Methods

The comprehensive cognitive health management programme included a psychiatric assessment of the cognitive risk factors for those in the intervention groups and individualised recommendations for reducing the risks through self-management supported by regular medical professional follow-up. The intervention groups for this study included 84 elderly participants with NC and 43 elderly participants with MCI who received comprehensive cognitive health management. The control groups included 84 elderly participants with NC and 43 elderly participants with MCI who matched the intervention group’s general characteristics and scale scores using the propensity matching score analysis. The Montreal Cognitive Assessment (MoCA) scale and Geriatric Depression Scale (GDS) scores were compared after a 1-year follow-up.

Results

For older adults with MCI in the intervention group, MoCA scores were higher at the 1-year follow-up than at baseline (24.07 (3.674) vs 22.21 (3.052), p=0.002). For the MoCA subscales, the intervention group’s abstract and delayed memory scores had significantly increased during the 1-year follow-up. Furthermore, in a generalised linear mixed model analysis, the interaction effect of group×follow-up was statistically significant for the MCI group (F=6.61, p=0.011; coefficients=5.83).

Conclusions

After the comprehensive cognitive health management intervention, the older adults with MCI in the community showed improvement at the 1-year follow-up. This preliminary study was the first to demonstrate an easy-to-implement strategy for modifying the cognitive risk factors of elderly individuals with MCI in the community, providing new insight into early-stage intervention for dementia.
Generation of evidence supporting the content validity of SF-36, FACIT-F, and LupusQoL, and novel patient-reported symptom items for use in patients with systemic lupus erythematosus (SLE) and SLE with lupus nephritis (LN)
Authors: Williams-Hall Rebecca , Berry Pamela , Williamson Nicola , Barclay Melissa , Roberts Anna , Gater Adam , Tolley Chloe , Bradley Helena , Ward Amy , Hsia Elizabeth , Zuraw Qing , DeLong Patricia , Touma Zahi , Strand Vibeke
Published: August 2022

Objective

SLE and lupus nephritis (LN) have significant impacts on the health-related quality of life of patients living with the condition, which are important to capture from the patient’s perspective using patient-reported outcomes (PROs). The objectives of this study were to evaluate the content validity of PROs commonly used in SLE and LN (36-Item Short Form Health Survey (SF-36), Functional Assessment of Chronic Illness Therapy–Fatigue (FACIT-F) and Lupus Quality of Life (LupusQoL), as well as novel PRO symptom severity items measuring skin rash, joint pain, joint stiffness and swelling of the legs and/or feet, in both populations.

Methods

Qualitative, semi-structured, cognitive interviews were conducted with 48 participants (SLE=28, LN=20). Understanding and relevance of symptom and impact PRO concepts from existing PROs were assessed, alongside novel PRO symptom severity items with different recall periods (24 hours vs 7 days) and response scales (Numerical Rating Scale (NRS) vs Verbal Rating Scale). Interviews were conducted in multiple rounds to allow for modifications to the novel PRO items. Analysis of verbatim interview transcripts was performed.

Results

Symptom and impact concepts assessed by the SF-36, FACIT-F, and LupusQoL were well understood by both participants with SLE and LN (≥90.0%), with most considered relevant by over half of the participants asked (≥51.9%). All participants asked (100%) understood the novel PRO symptom severity items, and the majority (≥90.0%) considered the symptoms relevant. Minor modifications to the novel PRO items were made between rounds to improve clarity based on participant feedback. The selected 7-day recall period and NRS in the final iteration of the PRO items were understood and relevant. No differences in interview findings between the SLE and LN samples were identified.

Conclusions

Findings provide evidence of content validity for concepts assessed by the SF-36, FACIT-F, LupusQoL and the novel PRO symptom severity items, supporting use of these PROs to comprehensively assess disease impact in future SLE and LN clinical trials.
A media surveillance analysis of COVID-19 workplace outbreaks in Canada and the United States
Authors: Fenton Shelby , Quinn Emma K , Rydz Ela , Heer Emily , Davies Hugh W , Macpherson Robert A , McLeod Christopher B , Koehoorn Mieke W , Peters Cheryl E
Published: August 2022

A media surveillance analysis was conducted to identify COVID-19 workplace outbreaks and associated transmission risk for new and emerging occupations. We identified 1,111 unique COVID-19 workplace outbreaks using the Factiva database. Occupations identified in the media articles were coded to the 2016 National Occupational Classification (V1.3) and were compared and contrasted with the same occupation in the Vancouver School of Economics (VSE) COVID Risk/Reward Assessment Tool by risk rating. After nurse aides, orderlies, and patient service associates ( n = 109, very high risk), industrial butchers and meat cutters, and poultry preparers and related workers had the most workplace outbreaks reported in the media ( n = 79) but were rated as medium risk for COVID-19 transmission in the VSE COVID Risk Tool. Outbreaks were also reported among material handlers ( n = 61) and general farm workers ( n = 28), but these occupations were rated medium–low risk and low risk, respectively. Food and beverage services ( n = 72) and cashiers ( n = 60) were identified as high-risk occupations in the VSE COVID Risk Tool. Differences between the media results and the risk tool point to key determinants of health that compound the risk of COVID-19 exposure in the workplace for some occupations and highlight the importance of collecting occupation data during a pandemic.
DeviceWatch: A Data-Driven Network Analysis Approach to Identifying Compromised Mobile Devices with Graph-Inference
Authors: Choo Euijin , Nabeel Mohamed , Alsabah Mashael , Khalil Issa , Yu Ting , Wang Wei
Published: August 2022

We propose to identify compromised mobile devices from a network administrator’s point of view. Intuitively, inadvertent users (and thus their devices) who download apps through untrustworthy markets are often lured to install malicious apps through in-app advertisements or phishing. We thus hypothesize that devices sharing similar apps would have a similar likelihood of being compromised, resulting in an association between a compromised device and its apps. We propose to leverage such associations to identify unknown compromised devices using the guilt-by-association principle. Admittedly, such associations could be relatively weak as it is hard, if not impossible, for an app to automatically download and install other apps without explicit user initiation. We describe how we can magnify such associations by carefully choosing parameters when applying graph-based inferences. We empirically evaluate the effectiveness of our approach on real datasets provided by a major mobile service provider. Specifically, we show that our approach achieves nearly 98%
AUC (area under the ROC curve)
and further detects as many as 6 ~ 7 times of new compromised devices not covered by the ground truth by expanding the limited knowledge on known devices. We show that the newly detected devices indeed present undesirable behavior in terms of leaking private information and accessing risky IPs and domains. We further conduct in-depth analysis of the effectiveness of graph inferences to understand the unique structure of the associations between mobile devices and their apps, and its impact on graph inferences, based on which we propose how to choose key parameters.
A Tale of Three Technologies: A Survival Analysis of Municipal Adoption of Websites, Twitter, and YouTube
Authors: Faber Bram
Published: August 2022

This study addresses and compares the adoption rate of three technologies by Dutch municipalities: the adoption of websites between 1994 and 2000, the adoption of Twitter between 2008 and 2018, and the adoption of YouTube between 2006 and 2018. It analyses the municipal adoption curves of websites, Twitter, and YouTube, relating to DOI theory. Survival analysis is conducted of Twitter and YouTube adoption by municipalities, assessing the relationship between technology adoption and organizational and environmental factors. Additional survival analysis is conducted of the relationship between municipal adoption, media coverage of the technology, and user engagement with the technology. Media coverage appears to be a strong predictor for municipal adoption of websites, Twitter, and YouTube, as well as the level of user engagement. Twitter was adopted the fastest by municipalities, followed at a greater distance by website and YouTube adoption. Other findings include that municipalities already using YouTube were quicker to adopt Twitter, but not the other way around. Recently amalgamated municipalities were slower to adopt Twitter, as well as municipalities with a relatively larger presence of IT professionals.
Automata column
Authors: Viswanathan Mahesh
Published: August 2022

For the Automata Theory Column, we have an article by B. Srivathsan on the reachability problem in timed automata. Ever since timed automata were introduced by Alur and Dill, they have been widely used in the verification of real-time systems. Their appeal comes from a simple definition that couples expressiveness with computational tractability. The control state reachability problem, which asks if there is a computation of a given timed automaton that reaches a given control state, is an important problem in this context and was shown to be decidable in PSPACE by Alur and Dill in their seminal paper. However, because of the central role this problem plays in verification, it has been extensively studied in the past 30 years. In this issue, Srivathsan lucidly articulates the main principles underlying modern approaches to solving this problem.
Report on coalgebraic methods in computer science 2022
Authors: Hansen Helle Hvid , Zanasi Fabio
Published: August 2022

The 16

th

edition of the IFIP WG 1.3 International Workshop on Coalgebraic Methods in Computer Science (CMCS 2022) took place in Munich on Saturday April 2 and Sunday April 3, 2022, as a satellite event of the European Joint Conference on Theory and Practice of Software (ETAPS 2022). As chairs of the workshop, it was a great pleasure for us to run the workshop as an on-site event after a long hiatus due to the COVID pandemic. The workshop was, in fact, a hybrid event, allowing both speakers and registered participants to participate remotely, but in-person participation was strongly encouraged, partly through ETAPS registration fees being the same for online and on-site participation. Up until just a few weeks before the workshop, the COVID situation in Munich was still quite uncertain, and we did not know how many people would attend on-site or at all, so we were extremely happy to find that the large majority of speakers and participants chose to travel to the event, which ensured a lively and engaging atmosphere. The workshop had circa 40 participants of which 5 participated online (with an attendance of 20--30 throughout the sessions). This made CMCS the second-largest workshop at ETAPS 2022. The hybrid setup did pose some technical challenges, but it was much appreciated, and without the option of presenting on-line at least three of the talks would have had to be cancelled. A hybrid format will be considered also for future editions of the workshop.
SIGLOG monthly 227
Authors: Purser David
Published: August 2022

This event will be conducted in hybrid mode: in person in Paris (organizers' preferred choice) and virtually. Registration is mandatory for both modes (please find the corresponding links here: https://learnaut22.github.io/registration.html)

It is our pleasure to inform you about LearnAut 2022, the fourth edition of the workshop, this time co-located with ICALP.
Multiphysics Simulation and Experimental Investigation on Jet Electrochemical Milling of Ti-6Al-4V Alloy
Authors: Kong Huanghai , Qu Ningsong , Kong Weijing
Published: August 2022

Jet electrochemical milling (jet-EC milling) is a promising technique to machine hard-to-cut metallic materials with high machining efficiency and flexibility. The process of the jet-EC milling of Ti-6Al-4V Alloy is difficult to predict due to the interaction of multiple physical fields and the formation of passivation film. In this work, a novel model is established to simulate the jet-EC milling and predict machining profile. In this model, the interactional relationships among electric field, two-phase flow field, and geometry deformation are considered using a multiphysics approach, and the breakdown process of the passivation film is involved for accurately predicting the machining results. In addition, the passivation film breakdown process of Ti-6Al-4V alloy is studied experimentally. Finally, several experiments on the jet-EC milling of Ti-6Al-4V alloy are conducted to verify the simulation results and discuss the influence of the travel rate on the material dissolution. The current density distribution on the anode surface is clarified. The proposed model is more in line with the experiments. By applying an appropriate travel rate, a sharp edge is obtained without stray corrosion as the electrolyte forms an upward reflection and the un-machined surface is free from stray corrosion due to the absence of the electrolyte.
GCN-Unet: A Computer Vision Method with Application to Industrial Granularity Segmentation
Authors: Pang Shuyang , Xiao Xuewen , Cui Yuao , Mao Shangwei , Cao Xin , Jia Hongsheng , Wang Hao , Tong Fenghua , Zhang Xiaohui
Published: August 2022

In the field of metallurgical industry, identifying the granularity of raw materials is an essential process during transportation. We propose an image segmentation method by the GCN (global convolutional network)-Unet to extract the contour edge of raw materials granules. To obtain legible images of raw materials, a stationary industrial high speed camera is used to photograph the operating belt conveyor from above. Then, a well-trained GCN-Unet model is used to compute the images and output the results with the contour edge of granules and tiny parts of the materials segmented. We combined the U-Net with several global convolutional network models and boundary refinement blocks and compared the prediction results of the GCN-Unet and the U-Net, showing that the GCN-Unet has a better prediction ability with fewer parameters (7,876,675, while the U-Net has 31,101,448 parameters) and a higher calculating speed (about twice faster than the U-Net). Based on the CNN (convolutional neural network), our computer version method can almost replace traditional manual sampling inspection method for the corresponding overall analysis and the automatically identification process.
Comparison of Low-Dose Promethazine and Dexamethasone against Ondansetron Monotherapy Given as Antiemetic Prophylaxis during Myomectomy Under Spinal Anesthesia: A Randomized Clinical Trial
Authors: Onokpite Emmanuel , Jasper Abiodun Oyinpreye , Edomwonyi Philomina Nosa
Published: August 2022

Background. Postoperative nausea and vomiting (PONV) prophylaxis is still inadequate for a significant proportion of women undergoing myomectomy under spinal anesthesia; and it substantially decreases patient’s quality of postoperative recovery. Current protocol and practice favor the use of combination therapy like promethazine/dexamethasone for PONV prophylaxis with minimal side effects and cost advantages in low-resource climes. Methodology. Seventy American Society of Anesthesiologist (ASA) class I or II women aged 21–65 years scheduled for myomectomy were recruited and randomized into group A (promethazine/dexamethasone group) and group B (ondansetron group). Myomectomy was performed on each patient using spinal anesthesia. After induction of spinal anesthesia, patients in group A received intravenous promethazine 12.5 mg and dexamethasone 8 mg while group B received intravenous ondansetron 8 mg. Early (0–3 h) and late (4–24 h) PONV was assessed using the numerical scoring scale. Results. Data analysis was done using SPSS version 20. Postoperatively, there was no significant difference in the incidence of early ansd late PONV (pvalue >0.05) despite the higher incidents in the ondansetron group. The proportion of patients who required rescue antiemetics was more in the ondansetron group when compared with the promethazine/dexamethasone, with minimal and statistically insignificant side effects in both groups. There was significant patient satisfaction in both groups. Conclusion. The study shows that the combination of low-dose promethazine and dexamethasone is comparable to ondansetron when used as prophylaxis for PONV with cost benefits in low-resource environments.
Modulation of Arginase-2 mRNA Levels by ω-3 PUFAs and Aspirin in Asthmatic Human Lung Fibroblasts
Authors: Duggirala Vamsee K. , Geary Kyla , Hasenmayer Donald , Daghigh Farzaneh
Published: August 2022

Airway remodeling (AR) increases disease severity, and morbidity of asthmatic patients by contributing to irreversible airflow obstruction and progressive declines in lung function. Arginase isoenzymes and the downstream enzymes ornithine decarboxylase (ODC) and ornithine aminotransferase (OAT) have been implicated in the hyperplastic and fibrotic changes of AR, respectively. Omega-3 polyunsaturated fatty acids (ω-3 PUFAs) and resolvin metabolites have anti-AR effects, but whether they are mediated through the arginase pathway is unclear. Our study intended to determine the effects of the ω-3 PUFAs eicosapentaenoic acid (EPA), docosahexaenoic acid (DHA), resolvin D1 (RvD1), TH1 cytokines, acetylsalicylic acid (ASA), cAMP, and dexamethasone (DEX) on the expression of arginase isoenzymes arginase 1 (ARG1) and arginase 2 (ARG2), ODC, and OAT in human lung fibroblasts (HLF) from normal (NHLF) and diseased (DHLF) asthmatic donors using reverse transcription-quantitative real-time polymerase chain reaction (RT-qPCR). Our data showed that EPA and EPA+DHA downregulated ARG2 mRNA 2-fold in both types of HLF. DHA, RvD1, and DEX did not alter mRNA levels for any of the genes studied. EPA lowered the ARG2 protein levels in DHLF, but did not affect those levels in NHLF. ASA upregulated ARG2 mRNA 5-fold and 7-fold in NHLF and DHLF, respectively, TH1 cytokines downregulated ARG2, ODC, and OAT mRNA in DHLF 10-fold, 2-fold, and 2.5-fold, respectively, and cAMP downregulated ARG2 mRNA 2-fold in DHLF. These results are the first to show a direct effect of ω-3 PUFAs on ARG2 mRNA levels and provide further evidence for a role of ω-3 PUFAs in AR.
LncRNA GAS5 Suppresses Colorectal Cancer Progress by Target miR-21/LIFR Axis
Authors: Xie Juan , Wang Jing-Jing , Li Ya-Jun , Wu Jia , Gu Xiao-Jing , Yang Xiao-Rong
Published: August 2022

GAS5 is abnormally high in colorectal cancer tissues, which is a specific expression of lncRNA in colorectal cancer (CRC). Nevertheless, its biological function in CRC has not been elucidated. The abnormal high expression of GAS5 in CRC is the specific expression of lncRNA in CRC. The purpose of our study is to explore the effect of GAS5 on CRC and its mechanism. The expression of GAS5 in 53 paired normal and colorectal cancer tissues and colorectal cancer cell lines was detected by real-time PCR. The biological effects of GAS5, miR-21, and LIFR were measured by functional assays, including wound healing, transwell assays, and in vivo assays. We ensured the carcinogenesis role of GAS5 in CRC in the xenograft nude model. The dual-luciferase reporter assay system and chromatin immunoprecipitation method were used for target evaluation and Western blot for verification. GAS5 was significantly decreased in tumor tissues and CRC cells, and the low expression of CAS5 in CRC promoted tumor metastasis and decreased the survival of patients. GAS5 knockdown increases the cell viability, inhibits apoptosis, and promotes migration. Xenografted tumors in nude mice studies showed that GAS5 knockdown promoted tumor growth and caused worse lesions in colorectal. Furthermore, GAS5 increases the expression level of target gene LIFR to promote the apoptosis of CRC cells by binding to miR-21. Our study revealed that a novel pathway about lncRNA GAS5 inhibited the proliferation and metastasis of CRC cells by targeting miR-21/LIFR which provides a new strategy to treat CRC.
Prediction of Information Talent Demand Based on the Grayscale Prediction Model and the BP Neural Network
Authors: Sun Chan , Lu Yixia
Published: August 2022

With the increasing popularity of the Internet technology, people are now increasingly accustomed to obtaining information or help through the Internet. Meanwhile, the great development of the information service industry has led to the explosive growth of the demand for information service talents. In recent years, many information service talent demand reports have been released in China, and it has an important guiding significance for information service industry planning. However, there are three problems with the information service industry talent demand reports at present. First, the relevance and support of talent demand analysis and forecast to information service industry planning need to be clarified. Second, the coordination and cooperation of information service personnel demand report preparation need to be improved. The third is the wider application of scientific and reasonable information service personnel demand forecasting models. In the future, we need to develop and use more reasonable information service personnel demand forecasting models and improve the quality of information service personnel demand reports. At the same time, the supporting role of the information service industry in scientific planning needs to be strengthened continuously. Therefore, information service industry talent demand forecasting is of great significance. In this paper, a prediction model of information service talent demand is established by using gray system theory. For the deviations of the GM (1, 1) model, a combined GM (1, 1)-BP neural network prediction model is proposed. The simulation results show that the prediction results of the prediction model in this paper are satisfactory. Therefore, the GM (1, 1)-BP model proposed in this paper can be used as a reference for government decision-making and information service personnel training.
Physical and Mechanical Properties of Sheepskin Pickled by Recycled Curing Salt
Authors: Wodag Awoke Fenta , Kefale Girmaw Yeshanbel
Published: August 2022

Curing is the first process of skin treatment mainly using sodium chloride salt to prevent its decay. At soaking step of tannery, the effluents will be discharged to the environment, which contains the chloride ion, which will negatively affect our environment. Therefore, it should be either treated or reused so that it can help to reduce amount of chloride ion of the soaking effluent discharged to the environment and cost of pickling. This study focused on recycling of curing salt for sheepskin pickling and studying its effect on the pickled skin’s properties. Salt was recycled from cured skins manually, and it was purified through dilution, filtration, treatment, and drying. Five enzymatic bated sheepskins were collected from Bahir Dar, Ethiopia. The recipes were developed based on the weight of the pelt which was going to be pickled with 0.8% H2SO4, 0.5% formic acid, and 80% H2O for each trial and the recycled salt at different concentrations (8%, 8.5%, 6.5%, 7%, and 7.5%) for S1, S2, S3, S4, and S5, respectively. Bromocresol green was the pH indicator. Then, properties of treated samples were measured and evaluated in line with ISO standards, and the pH of the recipe was checked. The results showed that S1 treated with the mentioned materials and 8% salt amount has highest tensile strength (80.3 N/mm2). In addition, S1 has also the maximum tear strength of 60 N/mm2 and the minimum was 45.69 N/mm2. On the contrary, S3 has shown the least values of tensile strength and elongations as well as least tear strength. S1 has the maximum shrinkage temprature of 107°C and S3 has that of the least value 89°C which is lower compared with the standard shrinkage temperature, 95°C. The pH values were found to be within the standard for pickling. The overall result of this study was promising.
Predicting Patterns of Problematic Smartphone Use among University Students: A Latent Class Analysis
Authors: Parent Natasha , Bond Takara , Wu Amery , Shapka Jennifer
Published: August 2022

University students are consistently ranked among the highest users of smartphones. As such, recent research has focused on examining the antecedents and consequences of problematic smartphone use among university students. While this work has been instrumental to our understanding of the risk and protective factors of developing problematic smartphone use, it has been largely variable-centered and thus fails to recognize the diversity with which problematic smartphone use is experienced among university students. As such, this study employed a person-centered approach (i.e., latent class analysis) to classify individuals based on patterns of problematic smartphone use feature/symptom cooccurrence among a sample of 403 Canadian university students. The relationships between these subgroups (or classes) and potential covariates (i.e., self-regulation, attachment anxiety, and attachment avoidance) were then examined to gain a more complete understanding of university students’ experiences of problematic smartphone use. Three classes of problematic smartphone use were identified: (1) “connected” displaying the features/symptoms of problematic smartphone use associated with being constantly connected to smartphones; (2) “problematic” displaying all of the features/symptoms of problematic smartphone use; (3) “distracted” displaying the features/symptoms associated with being distracted by smartphones. Findings indicate that attachment anxiety and avoidance were significantly associated with membership in the most pathological (i.e., “problematic”) class, suggesting that this may be an especially important risk factor for developing problematic smartphone use among university students. Moreover, self-regulation was significantly related to membership in the least pathological class (i.e., “connected”) suggesting that this may function as an important protective factor in developing more concerning patterns of problematic smartphone use. Findings from this work provide empirical evidence of a heterogeneity in patterns of problematic smartphone use associated with distinct individual-level risk factors. This has important implications for conceptualizations of problematic smartphone use and the development of intervention and prevention efforts.
Adverse Perinatal and Maternal Outcomes and Associated Factors among Women with Antepartum Hemorrhage in Jimma University Medical Center, Southwest Ethiopia, 2020
Authors: Gelan Melkamu , Bekela Tariku , Angasu Kebanesa , Ebisa Mosisa
Published: August 2022

Background. Globally, antepartum hemorrhage is the main cause of perinatal and maternal morbidity and mortality during pregnancy and childbearing. Objective. To assess adverse perinatal and maternal outcomes and associated factors among women with antepartum hemorrhage in Jimma University Medical Center, Southwest Ethiopia, 2020. Methods. Prospective cross-section study was conducted, and data were collected through face to face interview among pregnant women admitted with antepartum hemorrhage. Patient condition was observed and followed up, and patient card was reviewed. Data were coded, checked, entered into EPI version 4.6, and exported to SPSS version 26.0 for analysis. Multivariate logistic regression analysis was made to determine independent factors associated with adverse outcomes. Result. A total of 377 pregnant women were included, and nearly half (192 (50.9%)) of women experienced adverse maternal outcome and 113 (30%) women experienced adverse perinatal outcome. The status of vital sign, address, parity, antenatal care, duration of bleeding before arrival, gestational age, prematurity, and amount of vaginal bleeding were factors significantly associated with adverse maternal and perinatal outcome at

p

value <0.05. Conclusion. Vital sign derangement, vaginal bleeding for ≥12 hrs, gestation age before 37 weeks, rural address, prim parity, amount of vaginal bleeding, and prematurity baby has predicted high rate of adverse perinatal and maternal outcomes. Recommendation. Jimma Hospital should give patient-centered service and strengthen counseling on danger sign of pregnancy to alert women early health care seeking and immediate resuscitation, and appropriate management should be given for women admitted with APH to minimize of adverse perinatal and maternal outcomes.
Industry 4.0 Oriented Distributed Infographic Design
Authors: He Lei
Published: August 2022

Since industry 4.0 was put forward in 2013, industrial process around the world has been moving rapidly towards the age of intelligent manufacturing. Industry 4.0 is known as the fourth industrial revolution dominated by intelligent manufacturing, which has changed the production mode of global manufacturing and triggered far-reaching industrial changes. However, when intelligent machines communicate with each other under industrial 4.0, a large amount of data adopting distributed control will be generated. The infographic in the data is mainly a visual design of industry 4.0 data. Therefore, this paper mainly studies the distributed data optimization processing for industry 4.0. Considering that data leakage is one of the biggest challenges faced by the data storage systems, this paper proposes a data storage method that considers the efficiency and security of data access. The concept of security distance not only guarantees data security but also takes into account the emphasis of different user groups on data security. To minimize data access time, this paper proposes a data access node selection algorithm to minimize data access time while ensuring data security. The simulation proves that compared with baselines, the data access time of the proposed algorithm in random topology and Internet2 topology is less than that of the current data storage algorithm while ensuring data security. The experimental results are simulated on Internet2 topology and random topology with Matlab and Omnet + + simulation platform, showing that the proposed algorithm can select the optimal data storage node under the condition of satisfying the security distance constraint, thus reducing the data access time.
Analysis of Wind-Sand-Load-Induced Dynamic Response of Transmission Tower-Line Systems
Authors: Zhang Zhuoqun , Liu Jiashu , Shao Kangjie , Zhang Peng
Published: August 2022

Sandstorms are a common natural phenomenon that has the potential to cause severe disruptions to civil infrastructure. However, the effect of sandstorms on transmission tower structures has not received much attention. This paper proposes the simulation of the wind-sand loads for the analysis of transmission tower structures under sandstorm excitation by superposing the wind loads and sand particle loads. The wind load is generated based on Kaimal fluctuating wind power spectrum and the harmonic superposition method, and the sand load is constructed based on the law of conservation of momentum and sandstorm classification. A transmission tower was modeled and simulated in SAP2000 to explore the dynamic response of the tower towards wind-sand loads. A comparison of wind-induced and wind-sand-induced responses shows that the structural dynamic responses of transmission towers due to the wind-sand effect are pronounced. Particularly, the maximum longitudinal displacements and axial forces increased greatly. The results showed that the sandstorm loads for transmission towers cannot be neglected, and more attention should be paid to the structural design of transmission towers to resist such loads.
Review of Deep Learning Approaches for Thyroid Cancer Diagnosis
Authors: Anari Shokofeh , Tataei Sarshar Nazanin , Mahjoori Negin , Dorosti Shadi , Rezaie Amirali
Published: August 2022

Thyroid nodule is one of the common life-threatening diseases, and it had an increasing trend over the last years. Ultrasound imaging is a commonly used diagnostic method for detecting and characterizing thyroid nodules. However, assessing the entire slide images is time-consuming and challenging for the experts. For assessing ultrasound images in a meaningful manner, there is a need for automated, trustworthy, and objective approaches. The recent advancements in deep learning have revolutionized many aspects of computer-aided diagnosis (CAD) and image analysis tools that address the problem of diagnosing thyroid nodules. In this study, we explained the objectives of deep learning in thyroid cancer imaging and conducted a literature review on its potential, limits, and current application in this area. We gave an overview of recent progress in thyroid cancer diagnosis using deep learning methods and discussed various challenges and practical problems that might limit the growth of deep learning and its integration into clinical workflow.
[Retracted] The Performance Appraisal System of Country Well‐Facilitated Farmland Based on AHP‐Object Metatopological Model
Authors: Wang Xiaohua , Wang Caimin , Jia Zhenli
Published: August 2022

Performance appraisal of well‐facilitated farmland projects has positive significance for promoting the development of modern agriculture in rural areas and carrying out rural revitalization. Based on the AHP‐object metatopological model, a well‐facilitated farmland project performance appraisal system is proposed to analyze the county performance of well‐facilitated farmland construction. In this study, Fangcheng County, Henan Province, is selected as the research sample area and evaluated by applying the established index system. The results show that the overall performance grade of the well‐facilitated farmland project in Fangcheng County is at an excellent level with both excellent and good rates reaching more than 90%, the output is slightly lower with excellent and good rates reaching 73%, and the benefit is the worst with excellent and good rates at 53%. These indicate that the construction effect of the well‐facilitated farmland project in Fangcheng County is at a good level, but the benefits are not as satisfactory as expected. In the overall appraisal, excellent accounts for 48.1%, good accounts for 26.9%, average accounts for 16.3%, and poor accounts for 8.7%. Fangcheng County has achieved a good performance level in the construction of a well‐facilitated farmland project in 2019, with almost full completion of project objectives and compliance with implementation standards. This study provides a system of county performance appraisal methods for well‐facilitated farmland as well as its practical application in county‐level units.
Mechanism of Forming Low Resistivity in Shale Reservoirs
Authors: Xie Jirong , He Jiahuan , Zhou Keming , Tang Zhijuan , Chen Manfei , He Tingting , Zou Mengwen , Luo Tao , Li Nong , Wang Li
Published: August 2022

In the oil and gas industry, traditional logging mostly deems that oil and gas reservoirs are characterized by high resistivity, whereas the water layer is often by low resistivity. However, a lot of exploration and development practices on shale gas reservoirs in Sichuan Basin, China, prove that it is hard to characterize a functional relation between resistivity and water saturation using the Archie equation. Therefore, to make clear the mechanism to form low resistivity in shale gas reservoirs, the matrix resistivity was calculated through the percolation network simulation based on pore structure characteristics and mineral compositional parameters. Moreover, the resistivity in low-resistivity laminations of shale was measured through the finite element simulation. In addition, the reasons for such low resistivity in shale were analyzed according to the resistivity-forming mechanism, and the effects of penetration degree, width, quantity, and spatial distribution of the laminations on the resistivity were worked out. Those may provide theoretical support for explaining the phenomenon of low-resistivity gas reservoirs.
Shaking Table Tests on Wrap Rope Connect Device for Continuous‐Beam Bridges with Different Pier Heights
Authors: Liu Yanfang , Zhang Wenxue , Du Xiuli , Bao Weigang
Published: August 2022

To investigate the cooperative and isolation effectiveness of the wrapped rope connect device (WRCD) on continuous‐beam bridges with different pier heights, shaking table tests were conducted on a typical three‐span continuous‐beam bridge model. The model had additional pier stiffness and applied the WRCD. Two actual seismic waves with different spectral characteristics and multiple intensities were used for input ground motion. By examining the performance and measured structural response under various excitations, WRCD could effectively improve the overall cooperative effect of the model structure for a limited increase in the input seismic energy of the system. The acceleration ratio from the fixed pier top to the movable pier top increased from∼17% without the WRCD to∼32% with it. The strain‐response ratio of the pier bottom decreased from its maximum of 24.8 times to 3.6 times after the device was applied. There is a specific relationship between the influence and the pier height of the structure, and the rules for high and low piers slightly differ. The movable and fixed ports can be coordinated by setting reasonable design parameters of the WRCD, which can be used for the seismic design of continuous‐beam bridges with different pier heights.
An Energy-Efficient Strategy and Secure VM Placement Algorithm in Cloud Computing
Authors: Srivastava Devesh Kumar , Tiwari Pradeep Kumar , Srivastava Mayank , Dawadi Babu R.
Published: August 2022

One of the important and challenging tasks in cloud computing is to obtain the usefulness of cloud by implementing several specifications for our needs, to meet the present growing demands, and to minimize energy consumption as much as possible and ensure proper utilization of computing resources. An excellent mapping scheme has been derived which maps virtual machines (VMs) to physical machines (PMs), which is also known as virtual machine (VM) placement, and this needs to be implemented. The tremendous diversity of computing resources, tasks, and virtualization processes in the cloud causes the consolidation method to be more complex, tedious, and problematic. An algorithm for reducing energy use and resource allocation is proposed for implementation in this article. This algorithm was developed with the help of a Cloud System Model, which enables mapping between VMs and PMs and among tasks of VMs. The methodology used in this algorithm also supports lowering the number of PMs that are in an active state and optimizes the total time taken to process a set of tasks (also known as makespan time). Using the CloudSim Simulator tool, we evaluated and assessed the energy consumption and makespan time. The results are compiled and then compared graphically with respect to other existing energy-efficient VM placement algorithms.
An Improved Data-Driven Decision Feedback Receiver via Deep Unfolding
Authors: Liu Song , Zhao Linchang , Song Tao
Published: August 2022

The proposed decision feedback receiver (DFR) is an end-to-end data-driven iterative receiver, and the performance gain is achieved from iterations. However, the mismatch problem between the training set and test set exists in the DFR training, and thus performance degradation, slow convergence speed, and oscillation are introduced. On the other hand, deep unfolding using parameter sharing is a practical method to reduce the model parameter number and improve the training efficiency, but the problem whether the parameter sharing will cause performance degradation is rarely considered. In this work, we generally discuss and analyze these two problems, and solution to solve the problem or conditions that the problem no longer exists is then introduced. We give the improvements to address the mismatch problem in the DFR, and thus we propose an improved-DFR via deep unfolding. The improved-DFRs with and without parameter sharing, namely, DFR-I and DFR-IS, are both developed with low computation complexity and model complexity and can be executed by parallel processing. Besides, the practical training tricks and performance analysis including computation complexity and model complexity are given. In the experiments, the improved-DFRs outperform the DFR in various scenarios, in terms of convergence speed and symbol error rate. The simulation results also show that the DFR-IS is easier to train, and the slight performance loss can be reduced by increasing model complexity, in comparison to DFR-I.
The Effectiveness of High-Frequency Repetitive Transcranial Magnetic Stimulation on Patients with Neuropathic Orofacial Pain: A Systematic Review of Randomized Controlled Trials
Authors: Diao Yingxiu , Xie Yuhua , Pan Jiaxin , Liao Manxia , Liu Hao , Liao Linrong
Published: August 2022

Background. Repetitive transcranial magnetic stimulation (rTMS) has been widely used in the treatment of neuropathic orofacial pain (NOP). The consistency of its therapeutic efficacy with the optimal protocol is highly debatable. Objective. To assess the effectiveness of rTMS on pain intensity, psychological conditions, and quality of life (QOL) in individuals with NOP based on randomized controlled trials (RCTs). Methods. We carefully screened and browsed 5 medical databases from inception to January 1, 2022. The study will be included that use of rTMS as the intervention for patients with NOP. Two researchers independently completed record retrieval, data processing, and evaluation of methodological quality. Quality and evidence were assessed using the PEDro scores and the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) system. Results. Six RCTs with 214 participants were included in this systematic review: 2 studies were considered level 1 evidence, and 4 were considered level 2 evidence. Six studies found that high-frequency rTMS had a pain-relieving effect, while 4 studies found no improvement in psychological conditions and QOL. Quality of evidence (GRADE system) ranged from moderate to high. No significant side effects were found. Conclusions. There is moderate-to-high evidence to prove that high-frequency rTMS is effective in reducing pain in individuals with NOP, but it has no significant positive effect on psychological conditions and QOL. High-frequency rTMS can be used as an alternative treatment for pain in individuals with NOP, but further studies will be conducted to unify treatment parameters, and the sample size will be expanded to explore its influence on psychological conditions and QOL.
Feasibility Analysis and Countermeasures of Psychological Health Training Methods for Volleyball Players Based on Artificial Intelligence Technology
Authors: Jin Xiaoyu
Published: August 2022

In the process of volleyball players’ mental health training, there exists the problem of low parameter accuracy. In order to further improve the accuracy of mental health training methods, based on artificial intelligence calculation, the neural network and long and short‐term memory network were used to analyze the model. Estimation algorithm was used to describe the data, and finally, the optimization model was obtained to describe the feasibility study of mental health. In addition, the relevant data were used to verify and analyze the model. The research shows that in the time update curve, with the increase of the model state, the corresponding curve on the whole first presents a fluctuating trend of different degrees. The increase of model state will make the corresponding time value gradually tend to flat. The fluctuation of the corresponding time index is obvious. Indicators corresponding to the status update curve show an obvious linear change trend with the increase in time, and the overall linear characteristics are obvious. This shows that when time is constant, the relationship between the corresponding parameter and the state value conforms to the linear law. The corresponding state index gradually increases and eventually tends to be stable. Through the analysis, it can be seen that the proportion of different indicators under the effect of artificial intelligence and the calculation results are different. The parameters show an obvious linear variation trend, indicating that the corresponding model parameters can well reflect the data changes. Finally, the accuracy of the model is verified by the method of experimental comparison. The relevant research results can provide a new model and a method for volleyball players’ mental health training.
Assessment of Seasonal Radon Concentration in Dwellings and Soils in Selected Areas in Ga East, Greater Accra Region of Ghana
Authors: Kpordzro R. , Gbadago J. K. , Andam A. B. , Adukpo O. K. , Otoo F. , Opoku-Ntim I. , Abubakar M. , Amoatey E.
Published: August 2022

Seasonal radon levels have been studied in dwellings and soils in selected areas in Ga East, Greater Accra Region of Ghana using LR‐115‐type II (SSNTDs). This study was conducted to determine the seasonal correlation between soil and dwelling radon concentrations. Detectors were exposed from January to March and April to June, for dry and wet seasons, respectively. Overall, indoor radon was 133.4 ± 6.7 Bqm−3and 72.1 ± 3.6 Bqm−3for wet and dry seasons. The estimated annual effective dose to the lung received by the occupants at Paraku Estate, Dome, and Kwabenya was 6.9 ± 0.4, 7.2 ± 0.5, and 9.8 ± 0.8 mSvy−1for the wet season and 3.8 ± 0.2, 4.3 ± 0.2, and 4.6 ± 0.3 mSvy−1for the dry season. On average, the soil radon concentration was found to be 0.96 ± 0.07 kBqm−3and 2.24 ± 0.01 kBqm−3for wet and dry seasons. To determine the correlation between soil and dwelling radon, a positive Pearson correlation coefficient value R = (0.74) and R = (0.66) was obtained representing the dry and wet seasons. To test the statistical significance between soil and dwelling radon,P< 0.05 was obtained, indicating a statically significant relationship between the two.