bluuebunny/crossref_metadata_2025 huggingface dataset:
How do advance regeneration and planted seedlings of Thuja occidentalis and Picea rubens acclimate under a first irregular shelterwood cut?
Authors: Bourque Claudelle , Dumais Daniel , Ruel Jean-Claude , Larouche Catherine , Raymond Patricia
Published: August 2022

Eastern white cedar ( Thuja occidentalis) and red spruce ( Picea rubens) contribute to the biodiversity and resilience of mixedwood forests. However, cuts that remove most or all the forest cover can cause the decline of these species. Among partial cutting options, the irregular shelterwood system (ISS) can create successful conditions for the development of advance regeneration and enrichment planting. We studied 6 years of ecophysiology of lower advance regeneration and planted seedlings of eastern white cedar and red spruce growing under a first ISS cut according to three cutting intensities: light cut (35% removal, 20 m2·ha−1 residual basal area), moderate cut (42%, 18 m2·ha−1), and heavy cut (52%, 15 m2·ha−1). Light-saturated photosynthesis and height growth of planted cedar and both spruce types decreased with increasing cutting intensity, in response to an increase in competing vegetation. Therefore, to limit the negative impact of competing species on cedar and spruce regeneration, we recommend protecting tall advance regeneration (2 m+) during partial cut operations and using large-sized containerized seedlings (40–50 cm height) for enrichment planting. Results also suggest that a mechanical release could help optimize the physio-morphology and growth of both regeneration types of cedar and red spruce.
Loop-corrected Higgs masses in the NMSSM with inverse seesaw mechanism
Authors: Dao Thi Nhung , Mühlleitner Margarete , Phan Anh Vu
Published: August 2022

In this study, we work in the framework of the Next-to-Minimal extension of the Standard Model (NMSSM) extended by six singlet leptonic superfields. Through the mixing with the three doublet leptonic superfields, the non-zero tiny neutrino masses can be generated through the inverse seesaw mechanism. While R-parity is conserved in this model lepton number is explicitly violated. We quantify the impact of the extended neutrino sector on the NMSSM Higgs sector by computing the complete one-loop corrections with full momentum dependence to the Higgs boson masses in a mixed on-shell-$$\overline{\text{ DR }}$$

DR

¯

renormalization scheme, with and without the inclusion of CP violation. The results are consistently combined with the dominant two-loop corrections at $$\mathcal{O}(\alpha _t(\alpha _s+\alpha _t))$$

O
(

α
t

(

α
s

+

α
t

)

)

to improve the predictions for the Higgs mixing and the loop-corrected masses. In our numerical study we include the constraints from the Higgs data, the neutrino oscillation data, the charged lepton flavor-violating decays $$l_i \rightarrow l_j + \gamma $$

l
i

→

l
j

+
γ

, and the new physics constraints from the oblique parameters S, T, U. We present in this context the one-loop decay width for $$l_i \rightarrow l_j + \gamma $$

l
i

→

l
j

+
γ

. The loop-corrected Higgs boson masses are included in the Fortran code .
Improved tests of entanglement and Bell inequalities with LHC tops
Authors: Aguilar-Saavedra J. A. , Casas J. A.
Published: August 2022

We discuss quantum entanglement in top pair production at the LHC. Near the $$t {\bar{t}}$$

t

t

¯

threshold, entanglement observables are enhanced by suppressing the contribution of $$q {\bar{q}}$$

q

q

¯

subprocesses, which is achieved by a simple cut on the velocity of the $$t {\bar{t}}$$

t

t

¯

system in the laboratory frame. Furthermore, we design new observables that directly measure the relevant combinations of $$t{\bar{t}}$$

t

t

¯

spin correlation coefficients involved in the measurement of entanglement and Bell inequalities. As a result, the statistical sensitivity is enhanced, up to a factor of 7 for Bell inequalities near threshold.
Quasibound states of scalar fields in the consistent 4D Einstein–Gauss–Bonnet–(Anti-)de Sitter gravity
Authors: Vieira H. S. , Bezerra V. B. , Muniz C. R. , Cunha M. S.
Published: August 2022

We examine the interaction between massless scalar fields and the gravitational field generated by a black hole solution that was recently obtained in the consistent well-defined 4-dimensional Einstein–Gauss–Bonnet gravity with a cosmological constant. In order to do this, we calculate quasibound state frequencies of scalar fields for the spherically symmetric black hole in the consistent 4-dimensional Einstein–Gauss–Bonnet–de Sitter and Anti-de Sitter theories. The expression for the quasibound states is obtained by using the polynomial condition associated to the Heun functions, and their values are overdamped. We also demonstrate the stability of the systems.
About this title - Core Values: the Role of Core in Twenty-first Century Reservoir Characterization
Authors: Neal A. , Ashton M. , Williams L. S. , Dee S. J. , Dodd T. J. H. , Marshall J. D.
Published: August 2022

Through state-of-the-art reviews and case studies this volume illustrates how innovative technologies, approaches and thinking continue to reinvent the value of both newly-acquired and legacy core for subsurface evaluation. Such an assessment is timely given that the sector sits at a pivotal point in terms of changing economics, demographics, skillsets and energy solutions.
Taming Molecular Field-Coupling for Nanocomputing Design
Authors: Ardesi Yuri , Garlando Umberto , Riente Fabrizio , Beretta Giuliana , Piccinini Gianluca , Graziano Mariagrazia
Published: August 2022

Molecular Field-Coupling Nanocomputing (FCN) is one of the most promising technologies for overcoming Complementary Metal Oxide Semiconductor (CMOS) scaling issues. It encodes the information in the charge distribution of nanometric molecules and propagates it through local electrostatic intermolecular interaction. This technology promises very high speed at ambient temperatures with minimal power dissipation. The main research focus on molecular FCN is currently either on single-molecule low-level analysis or circuit design based on naïve assumptions. We aim to fill this gap, assessing the potential and feasibility of FCN. We present a bottom-up analysis and design framework that starts from the physical characterization of molecular and technological parameters and enables physical-aware FCN designs. The framework explicitly considers molecular physics, allowing the designer to tame the molecular interaction to ensure the computational capabilities of the final device. The framework permits studying possible physical effects that create cross-implications and correlations among physical and system-level layers considering possible behavior variability. We characterize and verify molecular propagation in increasingly structured layouts to design complex arithmetic circuits. The results highlight molecular FCN advantages, especially in area occupation, and provide valuable quantitative feedback to designers and technologists to support the assessment of molecular FCN and the realization of an eventual prototype.
AUC Maximization in the Era of Big Data and AI: A Survey
Authors: Yang Tianbao , Ying Yiming
Published: August 2022

Area under the ROC curve, a.k.a. AUC, is a measure of choice for assessing the performance of a classifier for imbalanced data. AUC maximization refers to a learning paradigm that learns a predictive model by directly maximizing its AUC score. It has been studied for more than two decades dating back to late 90s, and a huge amount of work has been devoted to AUC maximization since then. Recently, stochastic AUC maximization for big data and deep AUC maximization (DAM) for deep learning have received increasing attention and yielded dramatic impact for solving real-world problems. However, to the best our knowledge, there is no comprehensive survey of related works for AUC maximization. This article aims to address the gap by reviewing the literature in the past two decades. We not only give a holistic view of the literature but also present detailed explanations and comparisons of different papers from formulations to algorithms and theoretical guarantees. We also identify and discuss remaining and emerging issues for DAM and provide suggestions on topics for future work.
Surface Reconstruction from Point Clouds without Normals by Parametrizing the Gauss Formula
Authors: Lin Siyou , Xiao Dong , Shi Zuoqiang , Wang Bin
Published: August 2022

We propose Parametric Gauss Reconstruction (PGR) for surface reconstruction from point clouds without normals. Our insight builds on the Gauss formula in potential theory, which represents the indicator function of a region as an integral over its boundary. By viewing surface normals and surface element areas as unknown parameters, the Gauss formula interprets the indicator as a member of some parametric function space. We can solve for the unknown parameters using the Gauss formula and simultaneously obtain the indicator function. Our method bypasses the need for accurate input normals as required by most existing non-data-driven methods, while also exhibiting superiority over data-driven methods, since no training is needed. Moreover, by modifying the Gauss formula and employing regularization, PGR also adapts to difficult cases such as noisy inputs, thin structures, sparse or nonuniform points, for which accurate normal estimation becomes quite difficult. Our code is publicly available at
https://github.com/jsnln/ParametricGaussRecon
.
Connecting Material Properties and Redox Flow Cell Cycling Performance through Zero-Dimensional Models
Authors: Neyhouse Bertrand J. , Lee Jonathan , Brushett Fikile R.
Published: August 2022

Improvements in redox flow battery (RFB) performance and durability can be achieved through the development of new active materials, electrolytes, and membranes. While a rich design space exists for emerging materials, complex tradeoffs challenge the articulation of unambiguous target criteria, as the relationships between component selection and cycling performance are multifaceted. Here, we derive zero-dimensional, analytical expressions for mass balances and cell voltages under galvanostatic cycling, enabling direct connections between material/electrolyte properties, cell operating conditions, and resulting performance metrics (e.g., energy efficiency, capacity fade). To demonstrate the utility of this modeling framework, we highlight several considerations for RFB design, including upper bound estimation, active species decay, and membrane/separator conductivity-selectivity tradeoffs. We also discuss modalities for extending this framework to incorporate kinetic losses, distributed ohmic losses, and multiple spatial domains. Importantly, because the mass balances are solved analytically, hundreds of cycles can be simulated in seconds, potentially facilitating detailed parametric sweeps, system optimization, and parameter estimation from cycling experiments. More broadly, this approach provides a means for assessing the impact of cell components that simultaneously influence multiple performance-defining processes, aiding in the elucidation of key descriptors and the identification of favorable materials combinations for specific applications.
Dielectric Characterization of Al/PAN/n˗Si/Al Structure as a Function of Frequency and Voltage
Authors: Turan Neslihan
Published: August 2022

In this study, the voltage and frequency dependencies of dielectric properties of Al/Polyacrylonitrile (PAN)/n˗Si/Al metal/polymer/semiconductor (MPS) were analyzed. To determine the dielectric characteristics, capacitance˗voltage (C–V) and conductance˗voltage (G–V) of Al/PAN/n˗Si/Al were measured depending on the frequency and bias voltage ranges in 10 kHz–1 MHz and ±5 V at room temperature. Using the C–V and G–V measurements, dielectric parameters; ε′, ε″, and tan δ, M′and M″, were evaluated depending on voltage and frequency. As the frequency increased, ε′ and ε″ decreased, while peaks related to the relaxation mechanism were observed in M″ and tan δ. The ε′ values at 10 kHz and 1 MHz are 15.2 and 4.58 for 1 V, respectively. Relaxation times were calculated using the peaks in the M″˗f plot and it was seen that the relaxation time decreased as the bias voltage increased. Relaxation mechanism is related to non˗Debye relaxation in PAN/n–Si structure. The existence of relaxation peaks in M″ curves showed that the studied material is an ionic conductor.
[Retracted] The Dialectic and Coupling of Three Paradigms in the Process of Art Rural Construction: Environment, Culture, and Industry
Authors: Fan Xiaoying , Zhong Xianghu
Published: August 2022

The development and construction of cities and villages are a complex process jointly promoted by multiple subjects such as government, residents, enterprises, planners, and community elites. Through the summary and analysis of the practice of art rural construction at home and abroad, it is found that its events show three main paradigms in the development process. The environmental creation paradigm reconstructs the environmental semantics of the countryside through the creation of environmental art works, showing the remarkable characteristics of “the presence of works.” The cultural revival paradigm maintains the local culture through cooperation with residents in art and has the characteristics of “de‐artization ” and “de‐heritage.” The industrial development paradigm adjusts the industrial structure through the production of commodity art to achieve the improvement of the rural economic foundation. Under the new development trend, the three paradigms are gradually converging.
Joint Decision Making of Replenishment, Pricing, and Fresh Keeping Input in Fruit and Vegetable Cold Chain: Based on Markov Process
Authors: Wang Xinying
Published: August 2022

Markov dynamic programming was used to analyze the effect of quality loss on the profit of the cold chain when the retailer’s demand was affected by random factors and the product can be put into appearance fresh-keeping, taking the retailer in the fruit and vegetable cold chain as the research object and aiming at maximizing the retailer’s profit in the unlimited sales period. It was found that the model can control the system profit fluctuation within the expected range by adjusting the relevant strategies when the initial inventory was fluctuated by random demand factors. The optimal strategies of replenishment, pricing, and preservation investment are closely related to the initial inventory. Sensitivity analysis shows that the optimal strategy and profit fluctuation range are closely related to the quality characteristics of quality loss and quantity loss. When the quality loss increases, retailers should reduce the amount of a single replenishment, invest in appearance preservation ahead of time, and raise prices. When the quantity loss increases, the retailer should reduce the quantity of a single replenishment.
DNA Methylation Profiles of the DRD2 and NR3C1 Genes in Patients with Recent-Onset Psychosis
Authors: Piao Yan Hong , Cui Yin , Li Ling , Karamikheirabad Maryam , Kim Sung-Wan , Lee Bong Ju , Kim Jung Jin , Yu Je-Chun , Lee Kyu Young , Won Seung-Hee , Lee Seung-Hwan , Kim Seung-Hyun , Kang Shi Hyun , Kim Euitae , Kang Nam-In , Rami Fatima Zahra , Chung Young-Chul
Published: August 2022

Objectives. Dopamine receptor D2 gene (DRD2) and glucocorticoid receptor gene (NR3C1) are implicated in the development of psychosis. We investigated methylation levels of DRD2 and NR3C1 in peripheral blood of patients with recent-onset (RO) psychosis using bisulfite pyrosequencing as well as its association with childhood trauma and rumination. Methods. In all, 51 individuals with RO psychosis and 47 healthy controls were recruited. DNA methylation levels in the targeted regions of two genes were analyzed and compared. Childhood trauma and rumination were evaluated using the Early Trauma Inventory Self-Report Short Form (ETI-SF) and Brooding Scale (BS), respectively. Correlations between the scores of the ETI-SF and BS and methylation levels were explored. Results. For DRD2, we found no significant differences between groups in terms of methylation level or association with childhood trauma or rumination. For NR3C1, we found a trend level significance for average value of all CpG sites and significant hypermethylation or hypomethylation at specific sites. There was also a significant positive correlation between the methylation level at the CpG8 site of NR3C1 exon 1F and negative symptom subscale score of the PANSS (PANSS-N). Conclusion. Epigenetic alterations of NR3C1 are associated with the pathophysiology of psychosis. Further epigenetic studies will elucidate the molecular mechanisms underpinning the pathophysiology of psychosis.
Methylprednisolone as an Adjunct to Local Infiltration on Laminoplasty or Laminectomy before Wound Closure: A Randomized Controlled Trial
Authors: Shrestha Niti , Han Bo , Wang Xiying , Jia Wenqing , Luo Fang
Published: August 2022

TrialDesign. Patients undergoing laminoplasty and laminectomy often experience severe postoperative pain. Local infiltration analgesia during spine surgery significantly reduces postoperative pain, which only upholds for a short time. Whether methylprednisolone and local anaesthetics are better than local anaesthetics alone in postoperative analgesia is yet to be determined. The primary aim of this research was the postoperative evaluation of efficacy and safety of methylprednisolone when used as an adjunct to local anaesthesia, ropivacaine, before wound closure after surgical procedures, laminoplasty or laminectomy. Methods. 132 patients were divided with a ratio of 1 : 1 into methylprednisolone-ropivacaine and ropivacaine alone groups. Every 30 ml of local infiltration solution consisted of 15 ml of 1% ropivacaine with 14 ml of saline along with 1 ml of 40 mg methylprednisolone and 15 ml of 1% ropivacaine with 15 ml of saline in methylprednisolone-ropivacaine group and ropivacaine group, respectively. The standardization of the study solution depended on the number of levels involved in surgery. Primary outcome was the 48-hour cumulative sufentanil demand. Results. Demographic characters and surgical variables among the groups were identical. The average 48-hour cumulative sufentanil demand was 32.5 ± 20.6 μg in the methylprednisolone-ropivacaine group and 50.9 ± 27.2 μg in the ropivacaine group (

p
<
0.001

). The estimated median time of demand of the first analgesia via patient-controlled analgesia (PCA) pump was 2.5 hours and 2 hours in the methylprednisolone-ropivacaine group and the ropivacaine group, respectively (hazard ratio (HR) was 0.53, with 95% Cl 0.33 to 0.87 and Log-rank of

p
=
0.0019

). Conclusion. The infiltration of methylprednisolone as adjunct ropivacaine before wound closure is a safe and efficient strategy for pain management following laminoplasty or laminectomy.
SPTBN2 Promotes the Progression of Thyroid Cancer by Accelerating G1/S Transition and Inhibiting Apoptosis
Authors: Zhou Xiaofen , Lin Lizhi , Qi Yufeng , Xu Min , Xu Qiding , Wang Yinghao , Qu Jinmiao
Published: August 2022

Background. Thyroid carcinoma (TC) is an increasingly common malignancy of endocrine organs, and its most frequently encountered histotype is papillary thyroid cancer (PTC). Identifying new potential gene alterations is important for completely elucidating the mechanism of PTC initiation and progression. Thus, we performed whole transcriptome sequence analysis (RNA-seq) on 79 PTC tissue samples and paired adjacent nontumor tissue samples to study the molecular mechanism of TC tumorigenesis and progression further. The results of RNA-seq analysis showed that spectrin beta, nonerythrocytic 2 (SPTBN2), was markedly overexpressed in PTC tissues relative to that in the paired nontumor tissues. Additionally, the analysis results for 502 PTC samples and 58 nontumor thyroid samples from The Cancer Genome Atlas dataset were consistent with our RNA-seq results. However, the molecular mechanisms and function of SPTBN2 in TC progression remain unknown. Methods. We examined SPTBN2 gene expression in 48 papillary thyroid tumor tissues and paired adjacent normal thyroid tissues by using qRT-PCR. SPTBN2 expression in the TC cell lines was silenced by small interfering RNA. Then, the transfected TC cells were used to investigate the in vitro function of SPTBN2. Result. The expression of SPTBN2 was significantly upregulated in our RNA-seq cohort, our local validated cohort, and TCGA RNA-seq cohort. The results of the in vitro experiment revealed that in TC cell lines, SPTBN2 downregulation considerably suppressed tumor cell proliferation, the cell cycle, migration, colony formation, and invasion and induced cell apoptosis. Furthermore, the protein levels of CCNE2, CDK2, CDK4, and Bcl-2 were downregulated, and those of P21, Bax, cleaved caspase-8, and cleaved caspase-3 had increased in transfected TC cells relative to in control TC cells. Conclusion. The downregulation of SPTBN2 caused apoptosis and retarded G1/S cell cycle transition in TC cells. Thus, SPTBN2 may be a good candidate gene for TC diagnosis and therapy.
Antineoplastic Effects of Ankaferd Hemostat
Authors: Malkan Umit Yavuz , Haznedaroglu Ibrahim Celalettin
Published: August 2022

Objectıve. Ankaferd hemostat (ABS; Ankaferd Blood Stopper®) contains standardized plant extracts comprising Alpinia officinarum, Glycyrrhiza glabra, Thymus vulgaris, Urtica dioica, and Vitis vinifera. ABS especially was recognized for its hemostatic effect; however, antineoplastic role of ABS was identified during the last decade. The aim of this paper is to review the molecular basis and associated clinical implications of the ABS as a topical antineoplastic agent. Materials and Methods. Up to June 2022, literature searches were performed using the internet search engines Medline, Google Scholar, and Embase: Ankaferd. PRISMA flow diagram described the Ankaferd search. Results. ABS have important effects in several cellular processes, like control of the cell cycle, apoptosis, angiogenesis, signal transduction, inflammation, immunologic, and metabolic mechanisms. The molecular basis of antineoplastic roles of ABS depends on its proteomics, metabolomics, and transcriptomics features. ABS has antineoplastic effects on solid tumors like colon, bladder, breast, and osteosarcoma cancer cells. Also, ABS effects renal tubular apoptosis and has antitumoral roles on malign melanoma cells. ABS inhibits hematological tumors like myeloma and lymphoid cells. ABS induces apoptosis in retinal cells and has inhibitory effects on mesenchymal stem cells. It has an antiproliferative role on gastrointestinal tumors like hepatocellular carcinoma cells. Moreover, ABS has a treatment supportive role in cancer since it can prevent oxidative DNA damage and decrease the intestinal damage in necrotizing enterocolitis. Furthermore, it has chemopreventive and hepatoprotective features and can be used for prophylaxis and treatment of oral mucositis. Conclusion. ABS alters cell metabolism and cell cycle. ABS has antineoplastic role on cancer cells. The expanding context of ABS compromises anti‐infective, antineoplastic, and wound healing features. ABS may also be used for the palliative, adjuvant, neoadjuvant, or supportive use by interventional radiology procedures for the treatment of solid tumors. Future controlled studies are necessary to clarify the pleiotropic role of ABS like antineoplastic, antithrombotic, anti‐inflammatory, anti‐infective, antifungal, and antioxidative effects.
Distributed Energy Management for Zero-Carbon Port Microgrid
Authors: Song Jing , Shan Qihe , Zou Tao , Hu Jingwei , Teng Fei
Published: August 2022

A zero-carbon port microgrid that integrates carbon capture power plants is proposed to build the green port and promote the achievement of the dual-carbon goal. To achieve the optimal economic operation of the port microgrid and reduce carbon emissions, an energy management model considering carbon trading mechanisms is established. Furthermore, a distributed energy management method is proposed for the zero-carbon port based on the alternating direction method of multipliers (ADMMs). The simulation results prove the effectiveness and accuracy of the proposed method, which can effectively improve the economy of the port microgrid and reduce the carbon emission of the port.
Construction and Risk Analysis of Marketing System Based on AI
Authors: Zhu Changcheng
Published: August 2022

AI technology is rapidly changing traditional industries by using the technologies of big data, machine learning, and deep learning in AI technology. This study transforms and constructs the links of market research, market strategy, marketing strategy, and marketing activities in the marketing system. The use of AI can help companies to understand customer needs more comprehensively, find market opportunities more quickly, establish business goals more accurately, and achieve smart marketing and precision marketing in the true sense. AI technology also brings new challenges to the development of enterprises. This study analyzes the data risk, payment risk, ethical risk, and decision-making risk in the marketing system and puts forward the solutions.
Effect of the Water-Air Coupling on the Stability of Rainfall-Induced Landslides Using a Coupled Infiltration and Hydromechanical Model
Authors: Li Biao , Tian Bin , Tong Fuguo , Liu Chang , Xu Xiaoliang
Published: August 2022

The water and air flow in soil pores in response to rainfall infiltration is an important factor affecting the stability of rainfall-induced landslides. The objective of this paper is to investigate the effect of water-air flow on the deformation and stability of rainfall-induced landslides based on a coupled infiltration and hydromechanical model. The model is formulated by the water and air flow equation, the mechanical equilibrium, and porosity equations. The rainfall infiltration is introduced as a flux boundary, which is determined according to the comparison of the infiltration capacity and rainfall intensity. The numerical model and solution approach are validated by simulating the Liakopoulos drainage test and a rainfall infiltration experiment with satisfactory results. Taking the Tanjiawan landslide as a case study, the water and air flow in response to rainfall infiltration and its effect on deformation and stability are examined. The results show that the pore air is gradually trapped and compressed due to rainwater infiltration. The entrapped air has a slowing effect on the rainfall infiltration and a pushing-out effect on the front sliding body, which is an important driving force for the evolution of the slope deformation and stability due to rainfall infiltration.
lncRNA NUTM2A-AS1 Targets the SRSF1/Trim37 Signaling Pathway to Promote the Proliferation and Invasion of Breast Cancer
Authors: Ning Xiaojie , Zhao Jianguo , He Fan , Yuan Yuan , Li Bin , Ruan Jian
Published: August 2022

Object. Proliferation and invasion are typical characteristics of breast cancer (BC) cells. Long noncoding RNA NUTM2A-AS1 has been shown to be dysregulated in tumors. This research was to explore the effect of NUTM2A-AS1 on the proliferation and invasion of BC cell lines. Method. Using the tumor database (TCGA) and analysis platform (GEPIA), NUTM2A-AS1 expression in breast cancer cases was compared with the normal cases. In addition, Kaplan-Meier curve of overall survival according to the various levels of NUTM2A-AS1 was assessed. Then, we constructed a knockdown plasmid of NUTM2A-AS1 and successfully reduced the expression function of NUTM2A-AS1 in BC cells. Results. We found NUTM2A-AS1 could promote the malignant phenotype of proliferation and invasion of BC. In terms of mechanism research, NUTM2A-AS1 was mainly located in the cytoplasm of BC cells, which indicated that NUTM2A-AS1 may achieve its function through transcriptional or posttranscriptional regulation pathways. While knocking down NUTM2A-AS1, we detected several major molecules of the trim family. The results showed that only trim37 mRNA was significantly affected, and protein detection also showed that knockdown NUTM2A-AS1 expression could reduce the expression of trim37. The results of RIP experiments suggested that NUTM2A-AS1 played a key role by combining with SRSF1 and affecting the interaction between SRSF1 and trim37 mRNA. The stability test of mRNA also confirmed that during the knockdown of NUTM2A-AS1, the mRNA stability of trim37 decreased significantly, but this downward trend could be reversed by overexpressed SRSF1. The above results suggested that NUTM2A-AS1 could maintain the stability and expression of trim37 through SRSF1 pathway. The results of rescue experiment showed the overexpression of trim37, while knocking down NUTM2A-AS1 could reverse the decrease of proliferation and invasiveness of BC cells induced by NUTM2A-AS1 knockdown. Conclusion. Therefore, trim37 is seen as a necessary target for NUTM2A-AS1 to exert the biological function of BC. Additionally, NUTM2A-AS1 is to regulate the malignant phenotype of BC through NUTM2A-AS1/trim37 pathway.
Effect of Calcium Carbonate Preparation on Malnutrition in Preschool Children
Authors: Zhang Fang , Guo Ping
Published: August 2022

Objective. To analyze the effect of calcium carbonate preparations on malnutrition in preschool children. Methods. A total of 100 preschool malnourished children treated in our hospital from February 2020 to February 2021 were recruited and assigned to a calcium carbonate preparation group or calcium lactate preparation group via the random number table method, with 50 cases in each group. Outcome measures included bone content, malnutrition symptom scores, nutritional indices, urine calcium, patient compliance, and treatment satisfaction. Results. After treatment, the calcium carbonate preparation group showed higher content of right heel bone and bone density versus the calcium lactate preparation group (

P
<
0.05

). After treatment, children given calcium carbonate preparation were associated with lower scores of malnutrition symptoms and higher serum calcium, ferritin, transferrin, prealbumin, and albumin levels versus those receiving calcium lactate preparation (

P
<
0.05

). Children in the calcium carbonate preparation group showed higher urine calcium levels than those in the calcium lactate preparation group after treatment (t = 17.640, 45.131, 18.168, 19.565,

P
<
0.05

). A higher compliance (96.00%) and treatment satisfaction (98.00%) of children in the calcium carbonate preparation group was observed versus those in the calcium lactate preparation group (62.00%, 66.00%) (Z = 3.521, Z = 3.447,

P
<
0.05

). Conclusion. The calcium carbonate preparations show more enrichment in the amelioration of malnutrition in preschool children versus calcium lactate preparations.
Evaluation of the Mechanical Properties of Three Resin‐Modified Glass‐Ionomer Materials
Authors: Rêgo Heleine Maria Chagas , Butler Sheila , Santos Maria Jacinta Coelho
Published: August 2022

This study is aimed at evaluating the flexural strength (FS), fracture toughness (FT), and diametral tensile strength (DTS) of three resin‐modified glass‐ionomer cements (RMGICs): Ketac Nano, Riva Light Cure, and Fuji II LC. One hundred twenty specimens were prepared from the RMGIC materials (n = 10). The cements were mixed and inserted into different mould sizes according to the test performed: FS: rectangular Teflon mould (32 mm × 3.15 mm × 2 mm); FT: notchless triangular prism (NTP) Teflon mould (6 mm × 6 mm × 6 mm × 12 mm); and DTS: ring road stainless steel mould (6 mm × 3 mm). Specimens were light cured for 20 seconds on each surface and stored in distilled water at 37°C ± 2°C for seven days prior to tests. To evaluate the influence of storage in the mechanical properties of the RMGIs, specimens tested for DTS were stored in distilled water at 37°C ± 2°C for 32 days prior to test. Data were analyzed by ANOVA and Tukey’s test (α = 0.05). Fuji II LC presented significantly higher values for all tests employed when compared to Ketac Nano and Riva LC RMGIs. There was no significant difference on DTS before and after the 32‐day storage for each material. Fuji II LC presented superior mechanical properties when compared to Ketac Nano, and Riva LC storage showed no influence on the mechanical properties of the RMGI materials tested.
Image Recognition for Garbage Classification Based on Transfer Learning and Model Fusion
Authors: Liu Wei , Ouyang Hengjie , Liu Qu , Cai Sihan , Wang Chun , Xie Junjie , Hu Wei
Published: August 2022

Garbage is an underutilized resource, and garbage classification is one of the effective ways to make full use of these resources. In order to realize the automation of garbage classification, some deep learning models are used for garbage images recognition. A novel garbage image recognition model Garbage Classification Net (GCNet) based on transfer learning and model fusion is proposed in this paper. After extracting garbage image features, EfficientNetv2, Vision Transformer, and DenseNet, respectively, are combined to construct the neural network model of GCNet. Data augmentation is used to expand the dataset and 41,650 garbage images are contained in the new dataset. Compared with other models through experiments, the results show that the proposed model has good convergence, high recall rate and accuracy, and short recognition time.
Research on Customer Requirement-Driven Individualized Product Module Division and Configuration Based on Community Structure
Authors: Yang Qin , Li Xuzheng , Yin Qunqun , Liu Fan , Chang Weijie
Published: August 2022

The main goal of designing individualized products is to meet the specific requirements presented by the customer. Therefore, designers need to adapt the relevant components of the product for each customer, which is difficult to achieve efficiently with existing methods. In this paper, we propose an integrated approach that enables intuitive modelling of products and supports fast conversion of different customer requirements (CRs) to configuration solutions. Firstly, the product properties are decomposed, and a standardized CR expression template is established to enable the mapping of CR information to product properties change information. Secondly, the community structure in complex network theory is introduced to visualize and quantitatively describe the relationship between product parts. The community detection method based on fuzzy clustering is applied to module division, and the optimal result is obtained using the

F

-statistic and modularity as evaluation indexes. Finally, the individualized product configuration problem is transformed into a dynamic constraint satisfaction problem. According to CR information and product module division result, the hierarchical community structure is used to narrow the search space and quickly derive solutions with high customer satisfaction through case-based configuration. An automatic guided vehicle is used as an example to illustrate the effectiveness and practicality of this approach.
Adsorption Properties of Modified ATP-RGO Composite Aerogel for Removal of Malachite Green and Methyl Orange from Unitary and Binary Aqueous Solutions
Authors: Li Hong Ji , Xu Jia Hui , Wang Liu Qing , Hou Dan Dan , Wang Zhi Ru , Li Hao Zhuo
Published: August 2022

In this paper, the modified attapulgite-reduced graphene oxide composite aerogel (ATP-RGO CA) was prepared by sol-gel method using modified attapulgite as silica source. The removal of the cationic dye malachite green (MG) and azo dye methyl orange (MO) onto ATP-RGO CA from unitary and binary systems was investigated. Morphology and microstructure studies of ATP-RGO CA were investigated by Fourier transform infrared (FTIR), scanning electron microscopy (SEM), X-ray diffraction (XRD), and specific surface area and porosity analysis. Experiments were carried out as a function of pH, contact time, initial dye concentration, and temperature in unitary and binary systems. The adsorption kinetics, isotherms, thermodynamics, and dye desorption were studied in unitary and binary dye systems. The adsorption kinetics was modeled using the pseudo-first-order, pseudo-second-order, and intraparticle diffusion kinetics equations. The equilibrium adsorption data of MG and MO dyes on ATP-RGO CA were analyzed. Thermodynamic parameters of dye adsorption were obtained. In addition, the regeneration of ATP-RGO CA was studied using dye desorption in unitary and binary dye systems. The adsorption kinetics of the dyes followed pseudo-second-order kinetics. The results indicate that the Langmuir model provides the best correlation of the experimental data. The thermodynamic studies showed that the dye adsorption onto ATP-RGO CA was a spontaneous and endothermic reaction. High desorption of MG and MO showed the regeneration of ATP-RGO CA. It can be concluded that ATP-RGO CA is suitable as an adsorbent material to remove MG and MO dyes from unitary and binary systems.
A Fuzzy Multi‐Objective Mathematical Model for Supplier Evaluation in a Reliable Supply Chain considering Different Risk Levels
Authors: Tian Yuanyuan , Bahrami Saeed , Farshad kaveh
Published: August 2022

One of the advantages of sustainable competition for manufacturing systems is to make supply chain activities more efficient and effective. One of the major parts of these activities that can save a lot of costs is careful outsourcing. In this study, an approach based on decision‐making policies in order to select suppliers and allocate order volume to them is introduced. The main contribution of this research is a comprehensive approach for optimizing both supplier evaluation and order allocation. In this regard, first, based on the evaluation, 39 key indicators were identified to evaluate the suppliers, and based on the content analysis, 25 key indicators were screened based on the Lavache method. Next, based on the fuzzy Delphi method, 11 indicators were selected from among the 25 key effective indicators. Finally, the Best‐Worst Method (BWM) and a robust multi‐objective formulation are proposed to find the weight of the effective criteria and the optimal order allocation to suppliers, respectively. Moreover, it is proved that the company under study faces a variety of suppliers and there is a need to analyze key indicators such as exchange rate changes and ease of communication. Based on the BWM results, it was shown that the exchange rate change trend with a weight of 0.24 is in the first place, and the quality system support index with a weight of 0.12 is in the second place. Moreover, based on the results of the proposed robust multi‐objective mathematical model, it was revealed that in order to maintain the resilience of suppliers, the total demand should be distributed among all suppliers and the second supplier with a volume of 3600 units of raw materials has the largest share in delivering the required demand.
Optimization of Aircraft Flight Trajectory Combined with Thinking Navigation Algorithm
Authors: Yang Yifan
Published: August 2022

In order to improve the optimization effect of the flight trajectory of the aircraft, this paper combines the thinking navigation algorithm to optimize the flight trajectory of the aircraft and analyzes the flight trajectory of the aircraft through the intelligent model. By processing the original satellite clock error data by the first-order difference method, the modeling data can be more suitable for nonlinear characteristics. Moreover, this paper chooses a simple network structure and uses the MEA to select the optimal initial parameters of the model for the BP neural network, which can avoid the local optimization of the BP neural network results. In addition, this paper conducts experimental analysis on the MEA-BP model through fitting data of different lengths. The simulation test results show that the thinking navigation algorithm proposed in this paper has a very obvious effect on the optimization of the flight trajectory of the aircraft.
Analysis of the Impact of Ride-Hailing on Urban Road Network Traffic by Using Vehicle Trajectory Data
Authors: Liang Zijun , Kong Wei , Zhan Xuejuan , Xiao Yun
Published: August 2022

The growth of ride-hailing services has made people’s daily commutes more convenient but has increased traffic on the road. However, the data needed to verify the impact of ride-hailing services on the urban road traffic network are lacking. This study matches data on the trajectories of different kinds of vehicles in Xuancheng city in the urban road network by using vehicle information data, ride-hailing information data, and license plate data recorded by the traffic bayonet system from December 26, 2018, to January 25, 2019. We used two indices, the detecting intensity and the detecting rate, to analyze the characteristics of travel based on ride-hailing services in Xuancheng. The results show that the ride-hailing vehicles have obvious travel characteristics of morning peak and evening peak, and in central urban areas and through the proposed indices of the travel time occupation rate and the travel space occupation rate to further quantitatively analyze the spatial and temporal characteristics of travel of different kinds of vehicles. Following this, we calculated the average ratios of different kinds of vehicles on congested sections of the road network and used simple regression to analyze the relationship between this and the average speed on these sections to quantitatively analyze the impact of ride-hailing on traffic congestion. The work here can provide effective decision-making support to the government for managing travel based on ride-hailing services.
Multislice Spiral Computer Tomography Findings of Simple Congenital Middle Ear Malformations
Authors: Kang Chunmiao , Han Lei , Zhao Yunyun , Sun Pengfeng , Gao Ming , Ma Mingyue , Wu Xiaoping , Yang Junle , Liu Hongsheng , Dong Jiping
Published: August 2022

Background. Simple congenital middle ear malformations (SCMEMs) are a group of congenital ear malformations. The study aims to analyze the multi‐slice spiral computer tomography (MSCT) manifestations of normal ears and SCMEM ears. Objectives. This study aimed to investigate the MSCT manifestations of normal ears and SCMEM ears and to evaluate the relationship between the SCMEM and the tympanic segment of the FNC pathway. Methods. This was a retrospective case‐control study. Patients who were diagnosed with SCMEM were included in the SCMEM group. Patients with vertigo, pulsatile tinnitus, or other symptoms were included in the control group. MSCT examination and image processing of the ossicular chain, facial nerve canal, and related structures were performed and compared between the two groups. Results. There were 94 cases in the SCMEM group (125 ears) and 97 cases in the control group (190 ears). Sixty‐three cases (67.0%) were unilateral malformations (36 right ears and 27 left ears). MSCT showed congenital stapes malformation in 107 ears (85.6%) and incus long process malformation in 84 ears (67.2%). Among these, simple stapes malformations were found in 41 ears (32.8%), simple incus malformation in 18 ears (14.4%), and stapes malformation complicated with incus malformation in 66 ears (52.8%). The distance between the facial nerve and lateral semicircular canal (FNC‐LSC) in the SCMEM group was 1.30 ± 0.64 mm compared to 0.79 ± 0.11 mm in the control group (P < 0.001), and the distance between facial nerve canal and oval window (FNC‐OW) was 0.67 ± 0.53 mm in the SCMEM group and 1.13 ± 0.18 mm in the control group (P < 0.001). Conclusion. SCMEM occurred mainly in ossicular chain abnormalities. MSCT clearly showed the slight structural changes in the middle ear and provided an accurate basis for preoperative diagnosis.
Rehabilitation Professional and Patient Satisfaction with Telerehabilitation of Musculoskeletal Disorders: A Systematic Review
Authors: Amin Junaid , Ahmad Basaruddin , Amin Salman , Siddiqui Ammar Ahmed , Alam Mohammad Khursheed
Published: August 2022

Telerehabilitation offers an alternative healthcare delivery remotely in a patient’s environment at a lower cost, better accessibility, and equivalent quality to the standard approach. Several studies had examined the effectiveness of telerehabilitation inpatients with musculoskeletal disorders, and although there is evidence that it is at least equally effective as the standard care, the patient and rehabilitation professional satisfaction with the delivery method is not conclusive. A systematic review was conducted to study the patients’ and rehabilitation professionals’ satisfaction with telerehabilitation for musculoskeletal disorders. A search for relevant studies on 29 April 2021 was carried out in Medline/PubMed, Scopus, and Web of Science (WOS). The search terms included “telerehabilitation,” AND “satisfaction” AND “musculoskeletal disorders,” “telehealth,” “telemedicine,” “patient experience,” and “pain”. Fifteen eligible studies with 12,341 patients were included in this systematic review. A report was included if it (a) assessed the satisfaction of patients or professionals or both as one of the outcomes of a telerehabilitation intervention, (b) included adults 18 years and above with musculoskeletal disorders, and (c) is an intervention study using a quantitative approach. The quality of studies was assessed using the critical appraisal checklist tool developed by Joanna Briggs Institute (JBI). Most of the studies reported that patients were satisfied with both telerehabilitation and face‐to‐face intervention. However, few studies reported that patients were more satisfied with telerehabilitation compared to face‐to‐face of intervention. Patients in one study had preferred the incorporation of telerehabilitation and face‐to‐face sessions. Two of three studies had reported overall satisfaction with telerehabilitation by the professionals. Overall, there is evidence that patients and rehabilitation professional are satisfied with telerehabilitation compared to face‐to‐face consultation.
Predicting the Spatial-Temporal Distribution of Human Brucellosis in Europe Based on Convolutional Long Short-Term Memory Network
Authors: Shen Li , Jiang Chenghao , Sun Minghao , Qiu Xuan , Qian Jiaqi , Song Shuxuan , Hu Qingwu , Yelixiati Heilili , Liu Kun
Published: August 2022

Brucellosis is a chronic infectious disease caused by brucellae or other bacteria directly invading human body. Brucellosis presents the aggregation characteristics and periodic law of infectious diseases in temporal and spatial distribution. Taking major European countries as an example, this study established the temporal and spatial distribution sequence of brucellosis, analyzed the temporal and spatial distribution characteristics of brucellosis, and quantitatively predicted its epidemic law by using different traditional or machine learning models. This paper indicates that the epidemic of brucellosis in major European countries has statistical periodic characteristics, and in the same cycle, brucellosis has the characteristics of piecewise trend. Through the comparison of the prediction results of the three models, it is found that the prediction effect of long short-term memory and convolutional long short-term memory models is better than autoregressive integrated moving average model. The first mock exam using Conv layer and data vectorizations predicted that the convolutional long short-term memory model outperformed the traditional long short-term memory model. Compared with the monthly scale, the prediction of the trend stage of brucellosis can achieve better results under the single model prediction. These findings will help understand the development trend and liquidity characteristics of brucellosis, provide corresponding scientific basis and decision support for potential risk assessment and brucellosis epidemic prevention and control, and reduce the loss of life and property.