bluuebunny/crossref_metadata_2025 huggingface dataset:
Coefficient Estimate of Toeplitz Determinant for a Certain Class of Close to Convex Functions
Authors: Cik Soh Shaharuddin , Mohamad Daud , Dzubaidi Huzaifah
Published: October 2021

Let S denote the class of analytic and univalent functions in D, where D is defined as unit disk and having the Taylor representation form of S. We will determine the estimation for the Toeplitz determinants where the elements are the Taylor coefficients of the class close-to-convex functions in S.
An Overview of the Primary Cilium and RPGRIP1L: The Signalling Hub’s Anchor for Organ Development and Homeostasis
Authors: Williantarra Ivanna , Richardo Timmy , Sudibjo Inge Kumalasari , Devanthi Putu Virgina Partha
Published: October 2021

Research on the primary cilium has been growing exponentially in the past several decades due to its functions as a cell signalling hub, which defects leads to several disorders and abnormalities collectively known as ciliopathies. Among other parts of the primary cilium structures, the transition zone is the area whose defects lead to the most severe clinical manifestations and high lethality. The ciliary transition zone consists of multiple protein modules that are hypothesized to be anchored by the RPGRIP1L protein. Despite its importance, RPGRIP1L studies remain hidden from the limelight, and our understanding of the protein remains scattered. This review summarizes the clinical manifestations and molecular mechanisms of the RPGRIP1L in the primary cilium. We then take a closer look at each RPGRIP1L’s protein domain to understand how each domain ensures proper functions and localization of RPGRIP1L. The three domains of RPGRIP1L are postulated to be involved in different roles. While the coiled coil domain is vital for scaffolding the protein to the centriolar structure, the ability of the C2 domain to interact with lipid allows the formation of ‘lipid gate’ at the transition zone. The high variability of the RPGR interaction domain enable the RPGRIP1L to interact with multiple different proteins, making it an ideal anchor for other ciliary protein modules in the transition zone.
Predicting the Impact of CRDM Thermal Sleeve Flange Wear in Westinghouse Pressurized Water Reactors
Authors: Rudland David L. , Cumblidge Stephen , Ng Ching , Anzalone Reed
Published: November 2021

In Dec. 2017, a four-loop 1300 MW Electricite de France (EdF) plant in France, Belleville Unit 2, experienced a complete wear through and separation of one of their thermal sleeves at a rodded control rod drive mechanism (CRDM) location. During low power physics testing and rod drop testing, the plant had difficulty stepping the control rod into the core. The rod was freed by exercising the drive rod but was then stopped prior to full insertion during the rod drop test. The failure to insert the rod was caused by the worn thermal sleeve flange remnant. In response to this operational experience, Westinghouse notified the U.S. Nuclear Regulatory Commission (NRC) of this defect pursuant to the requirements of title 10 of the Code of Federal Regulations (10 CFR) Part 21 and published a nuclear safety advisory letter (NSAL) that provides details on the thermal sleeve flange issue and inspection recommendations. In their notification, Westinghouse determined that there was no immediate safety concern, but a substantial safety concern may be possible in the unlikely event that there is interference with the movement of more than one control rod. This paper summarizes the NRC staff's safety analysis of this issue. The staff conducted detailed probabilistic and risk analyses and followed up with a smart sample inspection of the industry's thermal sleeve inspection programs to verify the analysis assumptions. The staff found the risk of core damage to be low, their assumptions appropriate, and the industry was following the details of the NSAL appropriately.
Primary splenic leiomyosarcoma – case report and literature review
Authors: Ioanițescu Elena Simona , Grasu Mugur , Toma Letiția
Published: November 2021

Primary tumors of the spleen are rarely encountered in clinical practice and their diagnosis often requires invasive procedures (splenectomy). Leiomyosarcomas are rare tumors originating from smooth muscle cells or their precursor mesenchymal cells and as such can arise in any organs, most typically abdominal ones. Only a few cases of leiomyosarcomas of the spleen have been described in literature. We present the case of a 69 year-old, a previously healthy patient, with non-specific symptoms, diagnosed on CT scan with multiple splenic, hepatic and bone tumors. Biopsy from one of the liver tumors revealed the diagnosis of leiomyosarcoma. Due to characteristic aspects on contrast-enhanced ultrasonography and CT scan we concluded that the primary tumor was located in the spleen, while the others represented metastases.
Effect of exposure to antibiotics on the gut microbiome and biochemical indexes of pregnant women
Authors: Su Yao , Gan Xu-Pei , Li Fei-Fei , Zhang Dong-Yao , Chen Li , Cao Yan-Nan , Qiu Hong-Hui , Cheng De-Cui , Zu Jian-Fei , Liu Wen-Yu , Wang Hong-Kun , Xu Xian-Ming
Published: November 2021

Introduction

Exposure to antibiotics (ABX) during pregnancy can have a systematic effect on both fetal and maternal health. Although previous biomonitoring studies have indicated the effects on children of extensive exposure to ABX, studies on pregnant women remain scarce. To explore the effect on pregnant women of environmental exposure to ABX through accidental ingestion and identify potential health risks, the present study investigated 122 pregnant women in East China between 2019 and 2020.

Research design and methods

The presence of six categories of ABX (quinolones, sulfonamides, lincosamides, tetracyclines, amide alcohol ABX, and β-lactams) in plasma samples taken from the pregnant women was investigated using an ABX kit and a time-resolved fluorescence immunoassay.

Results

All six ABX were detected in the plasma, with a detection rate of 17.2%. It was discovered that the composition of intestinal flora in pregnant women exposed to ABX was different from that of pregnant women who had not been exposed to ABX. The intestinal flora of pregnant women exposed to ABX also changed at both the phylum and genus levels, and several genera almost disappeared. Furthermore, the metabolic levels of glucose and insulin and the alpha diversity of pregnant women exposed to ABX were higher than those of pregnant women not exposed to ABX.

Conclusion

Pregnant women are potentially at higher risk of adverse microbial effects. Glucose metabolism and insulin levels were generally higher in pregnant women exposed to ABX than in unexposed women. Also, the composition and color of the gut microbiome changed.
Impingement on the internet: evaluating the quality and readability of online subacromial impingement information
Authors: Erian Christopher , Erian Michael , Raniga Sumit
Published: November 2021

Patients increasingly access the internet to learn about their orthopaedic conditions. Despite this, online information may be unregulated, of questionable quality and difficulty to read.

Objectives

Therefore, this study aimed to evaluate the readability and quality of the online information concerning subacromial impingement syndrome.

Methods

A search using Australia’s three most popular online search engines was undertaken using the search terms ‘subacromial impingement syndrome’ and ‘shoulder impingement’. The first 15 websites for each term were evaluated. Duplicates, advertisements and sponsored links were removed.

The quality and readability of each website were calculated using the DISCERN and Flesch-Kincaid Reading Ease (FKRE) tools, respectively. The differences in quality and readability between each website type (healthcare/academic, commercial, news outlet, charitable/not-for-profit, layperson, government) was assessed using analysis of variance. The correlation between quality and readability was assessed using the Pearson correlation coefficient.

Results

The majority of 35 unique websites analysed were of ‘poor’/’fair’ quality (determined via the DISCERN instrument) and ‘difficult’ readability (per the FKRE tool), with no correlation established between the scores. There was no statistically significant difference in quality across website types, however layperson, news outlet and government websites were found to be significantly more readable than alternate website categories (p<0.05).

Conclusions

We determined that much of the online information concerning subacromial impingement syndrome may be difficult to read and/or of poor quality. By recognising the shortcomings of information accessed by patients online, it is hoped clinicians may be prompted to better educate their patients.
IS THE REPORTS-BASED MEASURE OF UNCERTAINTY STATIONARY? EVIDENCE FROM A NEW PANEL RESIDUAL AUGMENTED LEAST SQUARES UNIT ROOT TEST
Authors: SOLARIN SAKIRU ADEBOLA , STEWART CHRIS
Published: October 2021

To avoid spurious inferences, researchers analyzing the dimensions of uncertainty need to determine whether it is nonstationary. The degree of persistence of uncertainty also indicates the duration of the negative impact of an uncertainty shock on the economy. We use a new panel residual augmented least squares unit root test that allows for heterogeneous structural breaks in both intercepts and slopes of a series to determine the degree of persistence of the reports-based measure of uncertainty and whether it is nonstationary for 143 countries. This group of countries accounts for 99% of the world’s gross domestic product (GDP). To assess the robustness of our results, we also use recently developed univariate time-series unit root tests that allow for structural breaks and panel unit root tests that accommodate cross-sectional dependence and nonlinearity. Furthermore, an autoregressive wild bootstrap approach is utilized to examine the stationarity of the series. The results are virtually unambiguous in indicating that the reports-based measure of uncertainty is stationary in all countries considered. The results also suggest that uncertainty has a negative impact on the growth rate of GDP. The policy implications of the results are also discussed.
FUSIONET: A Hybrid Model Towards Image Classification
Authors: Reginald Molokwu C. , Bonaventure Molokwu C. , Victor Molokwu C. , Ogochukwu Okeke C.
Published: November 2021

Image classification, a topic of pattern recognition in computer vision, is an approach of classification based on contextual information in images. Contextual here means this approach is focusing on the relationship of the nearby pixels also called neighborhood. An open topic of research in computer vision is to devise an effective means of transferring human’s informal knowledge into computers, such that computers can also perceive their environment. However, the occurrence of object with respect to image representation is usually associated with various features of variation causing noise in the image representation. Hence, it tends to be very difficult to actually disentangle these abstract factors of influence from the principal object. In this paper, we have proposed a hybrid model: FUSIONET, which has been modeled for studying and extracting meaning facts from images. Our proposition combines two distinct stack of convolution operation (3 × 3 and 1 × 1, respectively). Successively, these relatively low-feature maps from the above operation are fed as input to a downstream classifier for classification of the image in question.
Built-in Self-Test and Fault Localization for Inter-Layer Vias in Monolithic 3D ICs
Authors: Chaudhuri Arjun , Banerjee Sanmitra , Kim Jinwoo , Park Heechun , Ku Bon Woong , Kannan Sukeshwar , Chakrabarty Krishnendu , Lim Sung Kyu
Published: November 2021

Monolithic 3D (M3D) integration provides massive vertical integration through the use of nanoscale inter-layer vias (ILVs). However, high integration density and aggressive scaling of the inter-layer dielectric make ILVs especially prone to defects. We present a low-cost built-in self-test (BIST) method that requires only two test patterns to detect opens, stuck-at faults, and bridging faults (shorts) in ILVs. We also propose an extended BIST architecture for fault detection, called Dual-BIST, to guarantee zero ILV fault masking due to single BIST faults and negligible ILV fault masking due to multiple BIST faults. We analyze the impact of coupling between adjacent ILVs arranged in a 1D array in block-level partitioned designs. Based on this analysis, we present a novel test architecture called Shared-BIST with the added functionality of localizing single and multiple faults, including coupling-induced faults. We introduce a systematic clustering-based method for designing and integrating a delay bank with the Shared-BIST architecture for testing small-delay defects in ILVs with minimal yield loss. Simulation results for four two-tier M3D benchmark designs highlight the effectiveness of the proposed BIST framework.
Domain-Aware Word Segmentation for Chinese Language: A Document-Level Context-Aware Model
Authors: Huang Kaiyu , Xiao Keli , Mo Fengran , Jin Bo , Liu Zhuang , Huang Degen
Published: November 2021

Word segmentation is an essential and challenging task in natural language processing, especially for the Chinese language due to its high linguistic complexity. Existing methods for Chinese word segmentation, including statistical machine learning methods and neural network methods, usually have good performance in specific knowledge domains. Given the increasing importance of interdisciplinary and cross-domain studies, one of the challenges in cross-domain word segmentation is to handle the out-of-vocabulary (OOV) words. Existing methods show unsatisfactory performance to meet the practical standard. To this end, we propose a document-level context-aware model that can automatically perceive and identify OOV words from different domains. Our method jointly implements a word-based and a character-based model and then processes the results with a newly proposed reconstruction model. We evaluate the new method by designing and conducting comprehensive experiments on two real-world datasets (e.g., news from different domains). The results demonstrate the superiority of our method over the state-of-the-art models in handling texts from different domains. Importantly, when doing the word segmentation under the cross-domain scenario, our proposed method can improve the performance of OOV words recognition.
Woody Species Structure and Regeneration Status in Kafta Sheraro National Park Dry Forest, Tigray Region, Ethiopia
Authors: Temesgen Fitsum , Warkineh Bikila
Published: October 2021

The study was conducted in Kafta Sheraro National Park (KSNP) dry woodland natural forest located in Kafta Humera and Tahitay Adiyabo weredas (districts), Western and Northwestern Zones of Tigray regional governmental state, North Ethiopia. The objective of the study was to explore the floristic composition, structure, and regeneration of woody species in the home ofLoxodonta africanaL.,Hippotragus equinus,Anthropoides virgo,Ourebia ourebi,Crocuta crocuta,Tragelaphus strepsiceros,Phacochoerus africanus, and unidentified crocodile and fish species. In the park, the vegetation ecology has not been studied up to date which is necessary for conservation. The systematic sampling technique was used to collect vegetation and human disturbance (presence and absence) data from August to December 2018. The vegetation data were collected from 161 plots each with a size of 400 m2(20 m × 20 m) for tree/shrub while subplots of size 100 m2(10 m × 10 m) and 25 m2(5 m × 5 m) for sapling and seedling, respectively, were established in the main plots. Individual tree and shrub diameter at breast height (DBH) ≥2.5 cm and height ≥ 2 m were measured using tape meter and clinometer, respectively. Diameter at breast height (DBH), frequency, density, basal area, and importance value index (IVI) were used for vegetation structure description while the density of mature trees, sapling, and seedling was used for regeneration. A total of 70 woody species (46 (65.7%) trees, 18 (25.7%) shrubs, and 6 (8.6%) tree/shrub) were identified. The total basal area and density of 79.3 ± 4.6 m2·ha−1and 466 ± 12.8 stems·ha−1, respectively, were calculated for 64 woody species. Fabaceae was the most dominant family with 16 species (22.9%) followed by Combretaceae with 8 species (11.4%). The most dominant and frequent species throughout the park wereAcacia mellifera,Combretum hartmannianum,Terminalia brownii,Balanites aegyptiaca,Dichrostachys cinerea,Acacia senegal,Acacia oerfota,Boswellia papyrifera, Ziziphus spina-christi, andAnogeissus leiocarpus. Abnormal patterns of selected woody species were dominantly identified. The regenerating status of all the woody plant species was categorized as “fair” (18.75%), “poor” (7.81%), and “none” (73.44%). There was a significant correlation between altitude, anthropogenic disturbance (grazing and fire frequency), and density of seedling, sapling, and mature trees. But there was no correlation between gold mining and regeneration population. However, there is a good initiation for the conservation of the park; still, the vegetation of the park was threatened by human-induced fire following intensive farming, gold mining, and overgrazing. Therefore, the study area was the habitat for the population of the African elephant; species with low importance value indices and lack or having few seedling and sapling stage should be prioritized for conservation, and their soil seed banks should be studied further.
Network Pharmacology-Based Systematic Analysis of Molecular Mechanisms of Geranium wilfordii Maxim for HSV-2 Infection
Authors: Zhang Hao , Gao Ming-Huang , Chen Yang , Liu Tao
Published: November 2021

Background. Being a traditional Chinese medicine, Geranium wilfordii Maxim (GWM) is used for the treatment of various infectious diseases, and its main active ingredients are the polyphenolic substances such as polyphenols quercetin, corilagin, and geraniin. Previous studies have demonstrated the anti-HSV-1 viral activity of these three main ingredients. Through employing a network pharmacological method, the authors of the present research intend to probe the mechanism of GWM for the therapeutic treatment of HSV-2 infection. Methods. The bioactive substances and related targets of GWM were obtained from the TCMSP database. Gene expression discrepancy for HSV-2 infection was obtained from dataset GSE18527. Crossover genes between disease target genes and GWM target genes were gained via Circos package. Distinctively displayed genes (DDGs) during HSV-2 infection were uploaded to the Metascape database with GWM target genes for further analysis. The tissue-specific distribution of the genes was obtained by uploading the genes to the PaGenBase database. Ingredient-gene-pathway (IGP) networks were constructed using Cytoscape software. Molecular docking investigations were carried out utilizing AutoDock Vina software. Results. Nine actively involved components were retrieved from the TCMSP database. After taking the intersection among 153 drug target genes and 83 DDGs, 7 crossover genes were screened. Gene enrichment analysis showed that GWM treatment of HSV-2 infection mainly involves cytokine signaling in the immune system, response to virus, epithelial cell differentiation, and type II interferon signaling (IFNG). One hub, three core objectives, and two critical paths were filtered out from the built network. Geraniin showed strong binding activity with HSV-2 gD protein and STING protein in molecular docking. Conclusions. This network pharmacological study provides a fundamental molecular mechanistic exploration of GWM for the treatment of HSV-2 infection.
Role of Pretreatment Hemoglobin-to-Platelet Ratio in Predicting Survival Outcome of Locally Advanced Nasopharyngeal Carcinoma Patients
Authors: Irawan Cosphiadi , Rachman Andhika , Rahman Puji , Mansjoer Arif
Published: October 2021

Background. The three-year survival rate of locally advanced nasopharyngeal carcinoma (NPC) patients in Indonesia is lower than in other Asian countries. Calculation of hemoglobin-to-platelet ratio (HPR) may become a more practical predictor than the ratios using leukocyte cell components. Yet, no study has been conducted to investigate the potential of HPR in predicting survival outcomes in locally advanced nasopharyngeal cancer patients. Objective. To determine the role of pretreatment hemoglobin-to-platelet ratio in predicting the three-year overall survival (OS) of locally advanced NPC. Method. A retrospective cohort study followed up on 289 locally advanced NPC patients who had undergone therapy at the Dr. Cipto Mangunkusumo National General Hospital between January 2012 and October 2016. HPR cut-off was determined using ROC. Subjects were classified into two groups according to the HPR value. Kaplan-Meier curve was utilized to illustrate patients’ three-year survival, and Cox regression test analyzed confounding variables to yield an adjusted hazard ratio (HR). Results. The optimal cut-off for HPR was 0.362 (AUC 0.6228, 95% CI: 0.56-0.69, sensitivity 61.27%, specificity 60.34%). Of the subjects, 48.44% had

HPR
≤
0.362

, and they had a higher three-year mortality rate than those with

HPR
>
0.362

(50% vs. 31.54%). In bivariate analysis,

HPR
≤
0.362

and

age
≥
60

significantly showed a worse three-year OS (

p

value = 0.003 and 0.075, respectively). In multivariate analysis, we concluded that a pretreatment

HPR
≤
0.362

was an independent negative predictor of three-year OS in locally advanced NPC patients (adjusted HR 1.82; 95% CI: 1.25–2.65). Conclusion. Pretreatment

HPR
≤
0.362

was a negative predictor of three-year OS in locally advanced nasopharyngeal cancer patients.
Dynamic Adjustment Strategy of Rail Guide Vehicle
Authors: Liu Wenbin , Liu Dongbing
Published: October 2021

For the dynamic adjustment strategy of intelligent rail guide vehicle, the dynamic planning model has been built with the longest working time in the paper. In solving this problem, the longest target of the rail guide vehicles’ running time is converted to find the optimal moving path of the rail guide vehicles. Drawing on the shortest path idea, the model uses the Floyd algorithm and the simulated annealing algorithm. The longest running time of the rail guide vehicles in the model is the innovation point in the paper. When the rail guide vehicles path is optimal, when the rail guide vehicles is the busiest, the system is the most efficient.
Projected Adaptive Cubic Regularization Algorithm with Derivative-Free Filter Technique for Box Constrained Optimization
Authors: He Lingyun , Wang Peng , Zhu Detong
Published: October 2021

An adaptive projected affine scaling algorithm of cubic regularization method using a filter technique for solving box constrained optimization without derivatives is put forward in the passage. The affine scaling interior-point cubic model is based on the quadratic probabilistic interpolation approach on the objective function. The new iterations are obtained by the solutions of the projected adaptive cubic regularization algorithm with filter technique. We prove the convergence of the proposed algorithm under some assumptions. Finally, experiments results showed that the presented algorithm is effective in detail.
The Biology of the African Bonytongue Heterotis niloticus (Cuvier, 1829) from the Lower Niger River at Agenebode in Edo State, Nigeria
Authors: Agbugui M. O. , Egbo H. O. , Abhulimen F. E.
Published: October 2021

Background. The African bonytongue, Heterotis niloticus, is readily accommodated in the fresh water of the Niger River. It is available all year round with a large population of juveniles and adults due to its fast growth and versatile feeding habits. This commercial fish is a highly preferred source of food because of its high protein content and hardy flesh, thus forming a very important component in the diet of many Nigerians. It is highly valued because of its socioeconomic importance and benefits. Hence, this research is designed with the aim of studying the biology of the African bonytongue, Heterotis niloticus, and providing viable information about its importance in fish culture in order to make an available added variety of culturable and affordable fish species in Nigeria. Results. The oesophagus is a muscular organ that is short and distensible. The oesophagus leads to the gizzard-like stomach, a reddish bilobed organ that is muscular and tough. H. niloticus is an omnivorous macrophage detritor, consuming a wide variety of bottom-dwelling food items. The histology of the gastrointestinal tract reveals four conspicuous layers from the inside to the outside: mucosa, submucosa, inner circular layer and outer longitudinal layer of muscularis, and serosa. The presence of numerous mucus glands and longitudinal folds with a prominent columnar epithelium provides durable length or an extension of the gut mucus to aid lubrication and easy passage of food materials, protecting the mucosal epithelium from mechanical or chemical injuries arising from interactions with digestive tract contents or enzymes. In addition, the presence of absorptive cells helps in the absorption of valuable nutritive substances. Conclusions. The anatomy of the mouth and gut and the aforementioned histology are modified to accommodate the feeding habits. H. niloticus has a single ovary that rests on the right side of the fish; it is reproductively active as the flood plains rise and peaks at the peak of the rains, being a moderately fecund fish. The high fecundity is complemented with peaks of GSI observed during the months of September, October, and November, which reveals spawning periods. Hence, the aforementioned attributes of H. niloticus make the fish a viable fish species for culture.
Dynamic Model and Numerical Simulation of Maximum Turbidity Zone Formation in River Inlet
Authors: Xie Huawei , Sharma Shubham , Sadeghzadeh Milad , Issakhov Alibek
Published: October 2021

The estuary of a river can be seen as a relatively free and partially closed coastal body. It is connected to the ocean and is a transitional zone of rivers, which contains processes from land to sea and from fresh water to salt water. The estuary is one of the most productive natural habitats in the world and carries a large number of sediments due to natural factors such as changes in runoff and tides. Therefore, many coastal areas with river estuaries have become the most densely populated areas in the human population. In this paper, the RSM (Reynolds stress model) turbulence model and the PID (proportional integral derivative) algorithm are successfully used to simulate the dynamic model and for the numerical simulation of the formation of turbidity maximum zone in the estuary, which provides a theoretical basis for the follow‐up of the similar research studies.
Optimization of Barrier Pillar Design in Longwall Mining with Top Coal Caving in Spontaneous Combustion Coal Seam
Authors: Fu Qiang , Yang Ke , Liu Qinjie , Liu Shuai , He Xiang , Lyu Xin
Published: October 2021

Determining a reasonable barrier pillar along gob-side entry of spontaneous combustion coal seam is of great significance to the prevention of spontaneous combustion. In this paper, considering the actual situation of 4301 and 4302 working faces of II-class spontaneous combustion coal seam in Changheng Mine, the characteristics of rock mass collapse and mining-induced stress redistribution of barrier pillar and adjacent area were analyzed, the cusp catastrophe model of coal pillar instability and the theoretical model of limit width of coal pillar air leakage spontaneous combustion were established, and a measurement scheme of side abutment pressure in 4301 working face was carried out. The theoretical model of the coal pillar along the gob-side entry shows that its instability is related to density of overlying strata, physical and mechanical parameters of coal body, dip angle of coal seam and weak face, and buried depth and mining width of working face. And the coal pillar in 4302 working face will be unstable if the width

a
≤
6.8
 
m

. Field measured data shows that 2-8 m is the stress-relaxation area of side solid coal. Then, the width of coal pillar was determined as 7 m. The maximum displacement of rib-to-rib and roof-to-floor of 4302 tailentry was 520 mm and 280 mm, respectively. The coal spontaneous combustion (CSC) observation monitoring results showed that the carbon monoxide volume fraction was in the normal range during the entire process of mining, and no other signs of gas were found. The research results can provide a reference for the barrier pillar designing in the mines under similar conditions.
Research on Population Development Trend in Huizhou of China Forecast Based on Optimal Weighted Combination Method and Fractional Grey Model
Authors: Li Dewang , Chen Jianbao , Qiu Meilan
Published: November 2021

In this paper, the optimal weighted combination model and fractional grey model are constructed. The coefficients of the optimal weighted combination model are determined by minimizing the sum of squares of resists of each model. On the other hand, the optimal conformable fractional order and dynamic background value coefficient are determined by the quantum inspired evolutionary algorithm (QIEA). Taking the resident population from 2008 to 2018 as the research object, the optimal weighted combination model and fractional grey model were used to study the estimated and predicted values. The results are compared and analyzed. The results show that the fractional grey model is better than the optimal weighted combination model in the estimation of the values. The optimal weighted combination model is better than the fractional grey model in predicting. Meanwhile, the fractional grey model is found to be very suitable for the data values that are large, and the changes between the data are relatively small. The research results expand the application of the fractional grey model and have important implications for the policy implementation activities of Huizhou government according to the population growth trend in Huizhou.
Cutting Force Modeling and Experimental Study for Ball-End Milling of Free-Form Surfaces
Authors: Lei Zhaozhao , Lin Xiaojun , Wu Gang , Sun Luzhou
Published: November 2021

In order to improve the machining quality and efficiency and optimize NC machining programming, based on the existing cutting force models for ball-end, a cutting force prediction model of free-form surface for ball-end was established. By analyzing the force of the system during the cutting process, we obtained the expression equation of the instantaneous undeformed chip thickness during the milling process and then determined the rule of the influence of the lead angle and the tilt angle on the instantaneous undeformed chip thickness. It was judged whether the cutter edge microelement is involved in cutting, and the algorithm flow chart is given. After that, the cutting force prediction model of free-form surface for ball-end and pseudocodes for cutting force prediction were given. MATLAB was used to simulate the prediction force model. Finally, through the comparative analysis experiment of the measured cutting force and the simulated cutting force, the experimental results are basically consistent with the theoretical prediction results, which proves that the model established in this paper can accurately predict the change of the cutting force of the ball-end cutter in the process of milling free-form surface, and the error of the cutting force prediction model established in this paper is reduced by 15% compared with the traditional cutting force prediction model.
DNAJC3-AS1 Is Associated with Proliferation, Metastasis, and Poor Prognosis of Breast Cancer
Authors: Zhang Yi , Li Jing-jing , Luo Bo , Guo Xiao-fei , Liu Jian-xin , Yang Shun-shi
Published: November 2021

Objective. Long noncoding RNA DNAJC3-AS1 (DNAJC3-AS1) was a newly identified tumor-related lncRNA. The aim of the present study was to explore the prognostic value and diagnostic of DNAJC3-AS1 (DNAJC3-AS1) expression in breast cancer (BC) patients. Patients and Methods. The expression of DNAJC3-AS1 was detected in 170 BC tissues and matched normal breast samples by qRT-PCR. The diagnostic value of DNAJC3-AS1 was examined by receiver-operating characteristic (ROC) assays. The correlation of DNAJC3-AS1 with clinicopathological features and prognosis was also statistically analyzed. CCK-8 assays, colony formation assays, and Transwell assays were applied to examine the potential function of DNAJC3-AS1 on tumor progression. Western blot was used to examine the expression of EMT-related proteins. Results. The expression of DNAJC3-AS1 in BC specimens was higher than that in the adjacent nontumor tissues (

p
<
0.01

). Diagnostic assays revealed that DNAJC3-AS1 has considerable diagnostic accuracy, with an area under the ROC curve (AUC) of 0.7457 (

p
<
0.001

). High DNAJC3-AS1 expression was positively associated with lymph node metastasis (

p
=
0.010

) and clinical stage (

p
=
0.023

). A survival study revealed that patients with high DNAJC3-AS1 expression had shorter overall survival (

p
=
0.0067

) and disease-free survival (

p
<
0.0001

) than those with low DNAJC3-AS1 expression. More importantly, multivariate assays indicated that DNAJC3-AS1 was an independent prognostic factor in BC patients. Functional assays confirmed that silence of DNAJC3-AS1 distinctly suppressed the proliferation, metastasis, and EMT progress of BC cells. Conclusions. DNAJC3-AS1 may be a prognostic and diagnostic biomarker for BC patients.
It Takes a Village: The Importance of Neuropsychological Findings in a Collaborative Approach for a Patient with Congenital Central Hypoventilation Syndrome and Specific Phobia
Authors: Skoch Sarah Hamill , Fu Bo , Stein Amanda L. , Greenstein Samuel P.
Published: October 2021

Congenital central hypoventilation syndrome (CCHS) is a life-threatening disorder characterized by respiratory symptoms such as hypoventilation during sleep, significantly reduced ventilatory and arousal responses, and sustained hypoxia. Patients with CCHS exhibit neurocognitive deficits due to structural abnormalities in the brainstem, cerebellum, and forebrain. Due to the potential for repeated hypoxemia and hypercarbia among patients with CCHS, neurocognitive functioning is often impaired. This is the first described report in which a patient with CCHS and specific phobia has been reported and highlights the importance of neuropsychological testing in directing treatment approaches. We report a case of a 26-year-old male, diagnosed with CCHS and specific phobia. This patient was overdue for a needed bronchoscopy to check his airway for abnormalities (recommended every 12-24 months). The patient had developed a specific phobia to procedures involving anesthesia. It was determined in the initial phase of treatment that the patient’s neurocognitive status was impacting his ability to engage in psychiatric and psychosocial treatment. This patient’s care consisted of neuropsychological testing, with medication consultation, and cognitive behavioral psychotherapy. Treatment involved consistent collaboration among the patient’s treating clinicians as well as collaboration with the patient’s family and team of nurses. At the conclusion of treatment, the patient had successfully completed his bronchoscopy and future treatment goals were identified. This case emphasizes the importance of a neuropsychological evaluation when there is a disconnect in a patient’s information processing, as the results may be highly informative in directing treatment for patients with CCHS and specific phobia. The collaborative care we provided offers insights which may direct future interventions for patients with CCHS and improve their quality of life. Our case adds support to the recommendation that patients with CCHS and impaired psychosocial functioning should receive neuropsychological testing to best direct treatment.
Computer Vision for Human-Computer Interaction Using Noninvasive Technology
Authors: Ramadoss Janarthanan , Venkatesh J. , Joshi Shubham , Shukla Piyush Kumar , Jamal Sajjad Shaukat , Altuwairiqi Majid , Tiwari Basant
Published: November 2021

Computer vision is a significant component of human-computer interaction (HCI) processes in interactive control systems. In general, the interaction between humans and computers relies on the flexibility of the interactive visualization system. Electromyography (EMG) is a bioelectric signal used in HCI that can be captured noninvasively by placing electrodes on the human hand. Due to the impact of complex background, accurate recognition and analysis of human motion in real-time multitarget scenarios are considered challenging in HCI. Further, EMG signals of human hand motions are exceedingly nonlinear, and it is important to utilize a dynamic approach to address the noise problem in EMG signals. Hence, in this paper, the Optimized Noninvasive Human-Computer Interaction (ONIHCI) model has been proposed to predict human motion recognition. Average Intrinsic Mode Function (AIMF) has been used to reduce the noise factor in EMG signals. Furthermore, this paper introduces spatial thermographic imaging to overcome the conventional sensor problem, such as gesture recognition and human target identification in multitarget scenarios. The human motion behavior in spatial thermographic images is examined by target trajectory, and body movement kinematics is employed to classify human targets and objects. The experimental findings demonstrate that the proposed method reduces noise by 7.2% and improves accuracy by 97.2% in human motion recognition and human target identification.
[Retracted] Application of Improved LSTM Algorithm in Macroeconomic Forecasting
Authors: Chen Shijun , Han Xiaoli , Shen Yunbin , Ye Chong
Published: October 2021

From a macro perspective, futures index of agricultural products can reflect the trend of macroeconomy and can also have an early warning effect on the possible crisis and provide a reference for the government’s economic forecast and macro control. Therefore, it is necessary to strengthen the research on early warning and prediction of agricultural futures price. For the prediction of futures price, there are two kinds of common models: one is the traditional classic time series model, and the other is the neural network model under the wave of artificial intelligence. This paper selects the 1976 closing data of agricultural futures index from January 10, 2012, to February 27, 2020, and uses the time series differential autoregressive integrated moving average model (ARIMA model) and long short‐term memory model (LSTM model) to study this work, respectively, and compares the predicted effects of the two models in some metrics. Based on the predicted results of the two models, a simple trading strategy is established, and the trading effects of the two models are compared. The results show that the LSTM model has obvious advantage over ARIMA time series model in the price index prediction of agricultural futures market.
Adipocyte Atrophy Mimicking Signet Ring Cell Carcinoma of the Gallbladder
Authors: van Haeringen Benjamin , Francis Leo , Olive Emily , James Daniel
Published: October 2021

Signet ring cell morphology may result from a variety of causes and ranges from a benign reactive phenomenon to being indicative of highly aggressive malignancy. Benign epithelial signet ring cell change is well described in a variety of tissues, but nonepithelial signet ring cell change is a rare morphologic adaptation of adipose tissue principally described in the setting of cachexia. The location of these atrophic adipocytes outside the plane of normal epithelial layers may raise concern for invasive or metastatic malignancy, and consideration of a benign reactive process is critical to avoid catastrophic overdiagnosis and overtreatment. Further, this change is itself associated with significant mortality related to the underlying cachexia and may be important to highlight to treating clinicians. Compared to malignant signet ring cell carcinoma, benign signet ring cell change is more likely to retain normal lobulated architecture without mass formation, lack significant atypia, have myxoid stroma with a prominent capillary network, and show positive staining S100 protein with negative staining for cytokeratins and mucin. To our knowledge, we present the first described case of nonepithelial signet ring cell change involving the gallbladder, detected as an incidental finding following routine cholecystectomy in an elderly cachectic man.
Off-Topic Detection of Business English Essay Based on Deep Learning Model
Authors: Zhu Yiting
Published: October 2021

The automatic scoring system of business English essay has been widely used in the field of education, and it is indispensable for the task of off-topic detection of essay. Most of the traditional off-topic detection methods convert text into vector representation of vector space and then calculate the similarity between the text and the correct text to get the off-topic result. However, those methods only focus on the structure of the text, but ignore the semantic association. In addition, the traditional detection method has a low off-topic detection effect for essays with high divergence. In view of the above problems, this paper proposes an off-topic detection method for business English essay based on the deep learning model. Firstly, the word2vec model is used to represent words in sentences as word vectors. And, LDA is used to extract the vector of topic and text, respectively. Then, word vector and topic word vector are spliced together as the input of the convolutional neural network (CNN). CNN is used to extract and screen the features of sentences and perform similarity calculation. When the similarity is less than the threshold, the paper also maps the topic and the subject words in the coupling space and calculates their relevance. Finally, unsupervised off-topic detection is realized by the clustering method. The experimental results show that the off-topic detection method based on the deep learning model can improve the detection accuracy of both the essays with low divergence and the essays with high divergence to a certain extent, especially the essays with high divergence.
Sensory-Motor Polyneuropathy and Digital Ischemia: A Rare Presentation of Granulomatosis with Polyangiitis
Authors: Wathurapatha Wasundara , Rathnamali B. G. A. , Dissanayake Upul
Published: October 2021

Granulomatosis with polyangiitis (GPA) typically presents with upper or lower respiratory tract symptoms and/or with renal involvement. Although it can affect the peripheral nervous system frequently, with mononeuritis multiplex being the most common pattern, the occurrence of peripheral sensory-motor polyneuropathy as a presenting manifestation is distinctly rare. Prevalence of digital gangrene is also extremely rare in GPA. We describe a 46-year-old woman presenting with severe peripheral sensorimotor polyneuropathy affecting bilateral lower limbs preceded by a purpuric skin rash and multiple painful ulcers confined to the lower limbs. She had evidence of digital ischemia affecting multiple toes and dry gangrene of the left 4th toe. Diagnosis of GPA was made based on skin biopsy, positive ANCA serology, and clinical criteria. She made a good recovery following aggressive immunosuppressive treatment with methylprednisolone and cyclophosphamide and was maintained on prednisolone and azathioprine. This case highlights the importance of suspecting GPA in a patient presenting with sensorimotor polyneuropathy and/or digital ischemia even in the absence of more classic presenting features and underlies the necessity of accurate differential diagnosis in evaluating a case of peripheral neuropathy.
Nutritive Importance and Therapeutics Uses of Three Different Varieties (Murraya koenigii, Micromelum minutum, and Clausena indica) of Curry Leaves: An Updated Review
Authors: Abeysinghe D. T. , Alwis D. D. D. H. , Kumara K. A. H. , Chandrika U. G.
Published: October 2021

Murraya koenigii (M. koenigii), Micromelum minutum (M. minutum), and Clausena indica (C. indica) are three varieties of curry leaves in the family Rutaceae. They have been widely used in Ayurvedic medicine worldwide in the treatment and prevention of various diseases. Earlier findings provide strong evidence to support the three curry leaf species’ potent pharmaceutical and biological effects, including antioxidant, antidiabetic, anti-inflammatory, and antitumor activities. Various parts of these plants, such as leaves, seeds, flowers, and fruit, contain constituents responsible for the modulation of numerous biological processes. Leading constituents of curry leaves play a crucial role in diabetic and anticancer management by regulating various molecular pathways, including Bcl-2, Bax, NF-κB, and TNFα, according to in vitro and in vivo models established. Therefore, this review summarizes the current knowledge on research achievements made in terms of phytoconstituents, their structures, biological activities, and pharmacological actions with clinical studies of curry leaves up to date. The review also emphasizes the necessity for comprehensive research studies on the pharmacological actions and the mechanisms of selected phytochemicals of M. koenigii, M. minutum, and C. indica to validate their efficacy as potent herbal remedies for many ailments.
Rapid Identification of Geographical Origin of Commercial Soybean Marketed in Vietnam by ICP-MS
Authors: Nguyen-Quang Trung , Bui-Quang Minh , Truong-Ngoc Minh
Published: October 2021

Inductively coupled plasma mass spectrometry (ICP-MS) analytical method was used to determine the content of 40 elements in 38 soybean samples (Glycine Max) from 4 countries. Multivariate statistical methods, such as principal components analysis (PCA), were performed to analyze the obtained data to establish the provenance of the soybeans. Although soybean is widely marketed in many countries, no universal method is used to discriminate the origin of these cereals. Our study introduced the initial step to the identification of the geographical origin of commercial soybean marketed in Vietnam. The analysis pointed out that there are significant differences in the mean of 33 of the 40 analyzed elements among 4 countries’ soybean samples, namely, 11B, 27Al, 44Ca, 45Sc, 47Ti, 55Mn, 56Fe, 59Co, 60Ni, 63Cu, 66Zn, 69Ga, 75As, 78Se, 85Rb, 88Sr, 89Y, 90Zr, 93Nb, 95Mo, 103Rh, 137Ba, 163Dy, 165Ho, 175Lu, 178Hf, 181Ta, 182W, 185Re, 197Au, 202Hg, 205Tl, and 208Pb. The PCA analysis showed that the soybean samples can be classified correctly according to their original locations. This research can be used as a prerequisite for future studies of using the combination of elemental composition analysis with statistical classification methods for an accurate provenance establishment of soybean, which determined a variation of key markers for the original discrimination of soybean.
Study on the Adsorption Effect of Renewable Biochar Based on Energy Gain
Authors: Yang Zhanghang , Xu Qixiang , Zhang Ruiqin , Huang Qianming , Liu Mingxin
Published: October 2021

This paper provides sufficient evidence on how the crop-residual-derived charcoal could effectively restore the soil polluted by the heavy metal. In this paper, straw char at three temperatures of 300°C, 500°C, and 700°C, labeled as RS300, RS500, and RS700, was prepared by low temperature pyrolysis technique using straw as raw material, and the competitive adsorption desorption of Pb2+, Cd2+, Cu2+, and Zn2+ in acidic solution and the mechanism were investigated by static adsorption experiments. Since the crop-residual-derived charcoal could effectively restore the nutritional structure of the soil, which contributes to preventing the decrease in grain yield, and it is also a kind of renewable environment-friendly resource by itself, which could be used in control the pollution of heavy metal ions, it is expected that the crop-residual-derived charcoal will be a new adsorption material that could be used to control the heavy metal pollution in the future; the adsorption effect of biochar as new adsorption material on heavy metal ions has a distinct advantage over traditional adsorbent materials, and biochar is a renewable energy source, which is cheap and better for recycling resources.