bluuebunny/crossref_metadata_2025 huggingface dataset:
Safety and feasibility of short course pre‐operative radiation therapy followed by surgical excision for canine solid tumours
Authors: Smith‐Oskrochi Lauren , Wustefeld‐Janssens Brandan G. , Hollenbeck Danielle , Stocks Christian , Deveau Michael
Published: October 2022

Surgical resection of solid tumours, especially in early stages of disease, remains a cornerstone of cancer treatment in dogs and cats. There are numerous publications that show a strong association between local tumour control and outcome. To achieve local control in some cases radiation therapy and surgery are combined, with radiation therapy being delivered in the neoadjuvant or adjuvant setting. The objective of the study was to report acute toxicity and surgical site complication data in dogs that received a short‐course pre‐operative (SCPO) radiation therapy protocol, followed by surgical excision for various solid tumours. Medical records were reviewed, and data was analysed retrospectively. Dogs were included if a dermal or subcutaneous solid tumour was treated with SCPO radiation therapy and then was resected on the last day of radiation or 2–3 weeks later. A total of 34 dogs with 35 primary tumours were included. Acute radiation toxicity was diagnosed in 14 sites (40%). VRTOG scores were grade 1 in 50%, grade 2 in 43%, and grade 3 in 7%. Surgical site complications were identified in 17% of dogs with an overall surgical site infection rate of 11%. According to the Clavien‐Dindo classification, two dogs required medical intervention (grade 2), 1 dog required surgical intervention under general anaesthesia (grade 3b), and 1 dog died as a result of complications (grade 5). Logistic regression analysis found that anatomic site was significantly associated with complications, where tumours located on the extremity was protective (P = .02; OR 0.06).
PROVEN APPROACHES TO ENHANCE IMPLEMENTATION OF ENERGY MANAGEMENT SYSTEMS AT A LEADING OIL COMPANY
Authors: K. M. Hashim , D. K. S Ng , H. Hassim Mimi
Published: October 2022

Energy Management systems (EnMS) is an effective measure to manage energy utilization, drive for continuous improvement in energy performance and sustain business competitiveness. The public expectations i.e., greenhouse gas emission limits and zero liquid discharge will put additional burdens to oil companies. Many companies have initiated to deploy energy program in response to these concerns. However, impact of implementing the program has just been seen. Concerned companies are far away from achieving an appropriate expectations. Most of oil companies consider EnMS as an ambition, rather than an important criterion to be applied in all levels of the businesses. To overcome the abovementioned issues, this paper presents proven approaches to manage the energy efficiency. As for the primary objective, it presents a customized EnMS in enhancing utilization of energy resources. The customized EnMS has been established in accordance to expectations of international industrial best practices. It can be divided into: (1) establish energy visions, (2) select energy performance indicators, (3) identify energy improvement approaches and (4) monitor and manage energy performance tracking. In addition, case studies and best practices are also included in the customized EnMS to address the flexibilities. The second objective is to describe systematic tactics to expedite the effective implementation of EnMS. Tactics include: engage higher management commitment, subscribe to reputable standards, impels for energy savings and embed EnMS into existing management programs. Energy improvement tips are also included into comprehensive framework. Lastly, the third objective is to illustrate the customized EnMS at an undisclosed oil company.
EFFECT OF VULCANIZATION SYSTEMS AND CROSSLINK DENSITY ON TENSILE PROPERTIES AND NETWORK STRUCTURES OF NATURAL RUBBER
Authors: Hayeemasae Nabil , Waesateh Kamaruddin , Soontaranon Siriwat , Masa Abdulhakim
Published: October 2022

The mechanical properties of natural rubber (NR) vulcanizate depend strongly on several factors, i.e., vulcanization systems and crosslink density. These two parameters are originally from the formulation design of the vulcanizate. To focus more on such details, influences of three different vulcanization systems (sulfur, peroxide, and phenolic resin) with variations in their crosslink densities were studied by focusing on the change of curing properties, crosslink densities, mechanical properties and network structures of the NR vulcanizates. The crosslink density of various vulcanization systems increased with increasing curing promotors, as revealed by temperature scanning stress relaxation measurement. The tensile modulus at 100% strain increased with increasing crosslink density in all systems but the tensile strength varied with the vulcanization systems and degree of crosslink density. At the same crosslink level, the greatest tensile strength was obtained when the sulfur was used as a crosslinker, which was 100% greater than those obtained from peroxide and 200% over phenolic systems. In comparison to the phenolic resin system, sulfur and peroxide crosslink systems had a more uniform distribution of the crosslink network structure. The size of the network structure was found to be independent of the tensile strength. The peroxide system had the most uniform distribution of the crosslink network structure.
EFFECTS OF FUNNELIFORMIS MOSSEAE INOCULATION ON CHILI PEPPER GROWTH UNDER REPEATED DROUGHT STRESS
Authors: Sudiana I Made , Dwi Chandra Nicholas , Mangunwardoyo Wibowo , Kanti Atit , Pangihotan Napitupulu Toga , Idris Idris , Sumerta I Nyoman
Published: October 2022

Chili pepper (Capsicum frutescens L.) is a common commodity used as spice and pharmaceutical uses around the world. However, chili pepper cultivation failure often occurs due to drought exposure. The inoculation of arbuscular mycorrhizal fungi (AMF), such as Funneliformis mosseae, has the potential to induce defense against drought stress through symbiotic association with plant roots. The aim of this research was to investigate the effects of F. mosseae inoculation on the growth of chili pepper under repeated drought stress.  Chili pepper plants were exposed to three drought regimes for two cycles, with one rewatering event between the cycles.  The plant agronomic variables, physiological performance, and microorganism parameters were observed. The results showed that the plant height, fresh and dry shoot weight, along with fresh and dry root weight increased significantly with F. mosseae inoculation under repeated drought stress. The F. mosseae treatment also increased water relative content and decreased proline and lipid peroxidation significantly. Although drought exposure decreased the AMF root colonization rate, the total microbial activity and glomalin-related soil protein were still increased by the F. mosseae inoculation. However, F. mosseae inoculation was negatively correlated to the abundance of phosphate solubilizing microorganisms. The results suggested that F. mosseae gave positive effects on C. frutescens L. growth under repeated drought stress through induced morphological and physiological responses.
A MINI-REVIEW OF RECENT STUDIES ON LEAD AND LEAD-FREE PEROVSKITE MATERIALS FOR SOLAR CELLS APPLICATION AND THEIR ISSUES
Authors: Ramli Ain Ajeerah , Ismail Abd. Khamim , Muhammad Rosnita , Hashim Muhamad Faiz
Published: October 2022

Perovskite is gaining popularity in solar cell technologies and optoelectronics that rely on lead-based material. Perovskite solar cell (PSC) technologies are viewed as promising forthcoming innovations for their proficiency and monetary of the thin film due to high demand in the technology market. Lead-free perovskite material has become a viable alternative to lead-based perovskite, which has dominated the solar cell market for many years, due to toxicity and stability difficulties that have plagued lead-based solar cells. The large-scale commercial manufacture of lead-free halide perovskites solar cells can be expanded and its benefits in the solar field could be enhanced. Compared with lead-based perovskite, the lead-free perovskite material could also achieve a high-power conversion efficiency (PCE) indicating good solar cell performance. This review studied the perovskite materials, challenge of lead perovskite solar cell commercialization and summarizes recent research work regarding the perovskite solar cell. Moreover, this review forecast the future of perovskite solar cells in parallel with the Third Generation of Solar Cells.
IMPROVING THE CONSOLIDATION CHARACTERISTICS OF SALINE SABKHA SOIL BY ADDING BITUMEN
Authors: Al-Otaibi Fahad A.
Published: October 2022

The rapid economic and population growth, increase in constructions, and a small selection of appropriate soil resources in Kuwait have made it necessary to research soil stabilization methods because the existing soils are currently unsuitable in their natural conditions. In this study, the consolidation characteristics of sabkha soil samples in southern Kuwait mixed with 0%, 4%, 8%, and 10% bitumen with respect to soil dry weight were investigated. For this purpose, an experimental program, including soil characterization tests, modified Proctor compaction test, one-dimensional consolidation test, and collapsibility test, was executed. Results indicate that increasing the bitumen percentage improves the compressibility characteristics of sabkha soil. Upon the addition of 10% bitumen, the yield stress increased from 25 to 34 kPa, compression index slightly increased from 0.02774 to 0.03145, and swelling index decreased from 0.0119 to 0003. Further, there was a considerable reduction in the collapse potential from 1.192 to 0.301 upon the addition of 10% bitumen. Thus, it is evident that the disadvantageous characteristics of sabkha soil can be mitigated. The results support the possibility of recycling the sabkha soil, thereby contributing toward addressing the environmental issues associated with the disposal of excavated sabkha soil.
UTILIZATION OF DOMINANT AND OPORTUNISTIC TAXA OF MACROBENTHIC ASSEMBLAGES INHABITING SEDIMENTS UNDER FISH FARMS FOR THE ENVIRONMENTAL STATUS ASSSESSMENT
Authors: P. Putro Sapto , Hawarizqi Nuke , - Widowati , Adhy Satriyo
Published: October 2022

This study aimed to analyse the environmental quality based on opportunistic taxa and dominant taxa of macrobenthic assemblages, comparing sediment under the IMTA-aquaculture  and the reference site, Karimunjawa National Park. Sediments were sampled between May and October 2019, in two sampling times at the IMTA cages in which star pomfret (Trachinotus blochii) and tiger grouper (Epinephelus fuscoguttatus) were farmed with 3 stations. The reference area was located 1 km away from the fish farm zone.  Transformed data of macrobenthic abundance was correlated to abiotic variables using BIO-ENV using Primer V.6.1.5 software.  The dominant taxa at IMTA sites were Diala semistriata, Rissoina ambigua, Stilifer ovoideus, Acteocina fusiformis, Cerithium punctatum, Allorchestes compressa and Capitella capitata, whilst those at the reference sites were dominated by Barbatia lima, Acteocina candei, Cerithium punctatum, Owenia fusiformis, and Anaspides spinulae. Further analyses on the selected dominant and opportunistic taxa of macrobenthic assemblages between the IMTA area (M = 10.18, SE = 2.056) and the reference area (M = 3.18, SE = 0.732) still showed a significant difference (t(42) = 3.207, p = 0.003), indicating a consistency of the results of parametric statistical tests, both using the complete and the selected data set. The use of selected and dominant taxa is effective in determining environmental status and level of disturbance, and speed up the identification process and monitoring time.
FREQUENCY OF NON-LINEAR DYNAMIC RESPONSE OF A POROUS FUNCTIONALLY GRADED CYLINDRICAL PANELS
Authors: Mouthanna Ahmed , H. Bakhy Sadeq , Al-Waily Muhannad
Published: October 2022

In this article, a nonlinear dynamical investigation of porose functionally graded cylindrical panels using a proposed analytical model is carried out. The material's properties are considered to be porosity-dependent and graded in the thickness direction, corresponding to a power-law distribution. The classical shell theory, with the geometrical shape of nonlinear in von Karman–Donnell, is employed to get the Lagrange motion equations. By applying the Galerkin procedure, the system of nonlinear dynamic vibration equations is found. The natural frequencies and dynamic amplitude vibrations are obtained by using the fourth-order Runge–Kutta approach. In numerical analyses, the effects of porosity factor, power-law index, porous FGM thickness, frequency–amplitude relation, and excitation force on the dynamic response of thin functionally graded porous cylindrical panels are investigated. Through the obtained results, it is discovered that the porosity coefficients have important effects on the natural frequencies and amplitude of the nonlinear dynamic response of the FG structures. It leads to a reduction in natural frequencies by 5.74 % at 10% pores.
APPLICATION OF TAGUCHI METHOD TO OPTIMIZE FUSED DEPOSITION MODELING PROCESS PARAMETERS FOR SURFACE ROUGHNESS
Authors: Maidin Shajahan , Fadani Irdawati , Md. Nor Hayati Norilani , Albaluooshi Haroun
Published: October 2022

Surface quality is one of the limiting aspects of additive manufacturing (AM). This paper presents the findings from a study to optimize Fused Deposition Modeling (FDM) process parameters to improve the surface roughness of the printed test specimen. Taguchi 3⁴ and L9 orthogonal array were used to design the experiment. Samples models of the same size were fabricated with an open source FDM printer using acrylonitrile butadiene styrene (ABS) material and were examined to see the structural differences. Taguchi method S/N ratio and means analysis was used to find the optimum process parameter for surface roughness. The results indicate that flow rate is the most influential process parameter towards better surface roughness, followed by layer height, printing temperature and print speed. The surface roughness of printed test specimen was found to be rougher with the increase in levels of flow rate. The flow rate is responsible for the unevenly aligned section of the deposited filament. It was discovered that the optimal proses parameter levels for surface roughness by the CR-10S Pro FDM machine are 0.1 mm of layer height, 90% of flow rate, 230°C of printing temperature, and 35mm/s of print speed. Thus, Taguchi method has proven to be a useful approach for optimizing parameters to improve the surface roughness of printed parts.
APPLICATION OF TAGUCHI METHOD TO OPTIMIZE ULTRASONIC VIBRATION ASSISTED FUSED DEPOSITION MODELING PROCESS PARAMETERS FOR SURFACE ROUGHNESS
Authors: Maidin Shajahan , Abdullah Azlan , Md. Nor Hayati Norilani , Albaluooshi Haroun , Alkahari Rizal
Published: October 2022

This paper presents the findings on the process parameters for surface roughness optimization of an open-source ultrasonic vibration assisted fused deposition modeling (FDM) printed specimen. Acrylonitrile Butadiene Styrene (ABS) material for the specimens and the printing temperature, layer thickness, and surface layer were determined as the control parameters that influenced the surface roughness. Experimental design with Taguchi level 9 (3*3) Orthogonal Arrays (OA) was designed with nine experimental runs. Three levels of each control factor was identified. In addition, data for multi-responses of build time and surface roughness was obtained by utilizing and conducting the nine-requirement experimental run for Taguchi Method. The specimens were printed using an open-source ultrasonic vibration assisted FDM printer with a 20kHz ultrasonic vibration supplied to the printing platform of the printer. Analysis of variance (ANOVA) was conducted to determine whether p-values are significant with the model or otherwise. The experiments examined the build time and surface roughness, the responses were collected and optimized by using the grey relational grade (GRG). The result shows no correlation between build time and surface roughness in the grey relational grade, and the p-value was higher than 0.05 significant level. However, the surface roughness for optimal level combination setting showed the obvious result, which the settings consist of printing temperature (level 1), layer thickness (level 1), and surface layer (level 1).
QUALITY PREDICTION WITH NEURAL NETWORK TECHNIQUES FOR POLYPROPYLENE PRODUCTION VIA THE SPHERIPOL PROCESS
Authors: Tan Chuan Heng , Mohd-Yusof Khairiyah , Wan Alwi Sharifah Rafidah
Published: October 2022

In the polypropylene (PP) industry, melt index (MI) is the most important quality variable. Different grades of PP have their specific range of MI. Accurate prediction of MI is essential for efficient monitoring and off-grade reduction. Artificial Neural Network (ANN) models are proposed as the technique for MI estimation. It has powerful adaptive capabilities in response to nonlinear behaviour. In this research, ANN models for PP polymerization to predict the MI based on reactor parameters were developed. Three types of ANN models, the single hidden layer ANN (shallow ANN), stacked neural network (SNN) and deep learning are compared. The simulation results show that deep learning can perform better than shallow ANN and SNN by considering the accuracy of the prediction and detection of process fluctuation. All three model have proven that ANN are able to perform non-linear function approximation. Thus, ANN models are effective for supporting MI prediction such as for soft-sensors and process optimization in the polymer industry.
Exploring the Relationship Between Athletes’ Perceptions of Their Team Motivational Climate and Their Sport Shame
Authors: Fontana Mario S. , Fry Mary D. , Moore E. Whitney G.
Published: October 2022

Athletes have reported that they would experience shame while playing sport, both for their lack of preparation (process shame) and for their poor outcomes (result shame) during competition. The purpose of this study was to explore how motivational climate is related to athletes’ process and result shame. A survey was administered to 259 high-school track and field athletes before a practice 3 weeks into the season. Structural equation modeling showed that a perceived caring and task-involving motivational climate was positively related to athletes’ process shame and negatively related to their result shame. Perceptions of an ego-involving motivational climate were negatively related to athletes’ process shame and positively related to athletes’ result shame. The results highlight that caring and task-involving behaviors in coaches may help mitigate proneness to shame in athletes.
Measurement of $$J/\psi $$ decays into final states $$2(\pi ^{+}\pi ^{-})\pi ^{0},K^{+}K^{-}\pi ^{+}\pi ^{-}\pi ^{0},\,2(\pi ^{+}\pi ^{-})$$ and $$K^{+}K^{-}\pi ^{+}\pi ^{-}$$
Authors: Anashin V. V. , Anchugov O. V. , Aulchenko V. M. , Baldin E. M. , Baranov G. N. , Barladyan A. K. , Barnyakov A. Yu. , Barnyakov M. Yu. , Baru S. E. , Basok I. Yu. , Batrakov A. M. , Bekhtenev E. A. , Blinov A. E. , Blinov V. E. , Bobrov A. V. , Bobrovnikov V. S. , Bogomyagkov A. V. , Bondar A. E. , Buzykaev A. R. , Cheblakov P. B. , Dorohov V. L. , Eidelman S. I. , Glukhov S. A. , Grigoriev D. N. , Kaminskiy V. V. , Karnaev S. E. , Karpov G. V. , Karpov S. V. , Karukina K. Yu. , Kashtankin D. P. , Katsin A. A. , Kharlamova T. A. , Kiselev V. A. , Kolmogorov V. V. , Kononov S. A. , Kotov K. Yu. , Krasnov A. A. , Kravchenko E. A. , Kudryavtsev V. N. , Kulikov V. F. , Kuper E. A. , Kurkin G. Ya. , Kuyanov I. A. , Levichev E. B. , Maksimov D. A. , Malyshev V. M. , Maslennikov A. L. , Meshkov O. I. , Mishnev S. I. , Morozov I. A. , Morozov I. I. , Muchnoi N. Yu. , Neufeld V. V. , Nikitin S. A. , Nikolaev I. B. , Okunev I. N. , Onuchin A. P. , Oreshkin S. B. , Osipov A. A. , Ovtin I. V. , Peleganchuk S. V. , Petrov V. V. , Piminov P. A. , Pivovarov S. G. , Prisekin V. G. , Rezanova O. L. , Ruban A. A. , Sandyrev V. K. , Savinov G. A. , Shamov A. G. , Shatilov D. N. , Shekhtman L. I. , Shvedov D. A. , Shwartz B. A. , Simonov E. A. , Sinyatkin S. V. , Skrinsky A. N. , Sokolov A. V. , Starostina E. V. , Sukhanov D. P. , Sukharev A. M. , Talyshev A. A. , Tayursky V. A. , Telnov V. I. , Tikhonov Yu. A. , Todyshev K. Yu. , Tribendis A. G. , Tumaikin G. M. , Usov Yu. V. , Vorobiov A. I. , Zhilich V. N. , Zhukov A. A. , Zhulanov V. V. , Zhuravlev A. N.
Published: October 2022

Using the 1.32 $$\hbox {pb}^{-1}$$

pb

-
1

statistics collected at the $$J/\psi $$

J
/
ψ

peak with the KEDR detector at the VEPP-4M $$e^{+}e^{-\, }$$

e
+

e

-

collider, we measured the branching fractions of $$J/\psi $$

J
/
ψ

meson decays to the final states 2($$\pi ^{+}\pi ^{-})\pi ^{0}$$

π
+

π
-

)

π
0

, $$K^{+}K^{-}\pi ^{+}\pi ^{-}\pi ^{0}$$

K
+

K
-

π
+

π
-

π
0

, 2($$\pi ^{+}\pi ^{-})$$

π
+

π
-

)

and $$K^{+}K^{-}\pi ^{+}\pi ^{-}$$

K
+

K
-

π
+

π
-

. The results obtained for the decays $$J/\psi \rightarrow $$

J
/
ψ
→

2($$\pi ^{+}\pi ^{-})\pi ^{0}$$

π
+

π
-

)

π
0

, $$J/\psi \rightarrow K^{+}K^{-}\pi ^{+}\pi ^{-}\pi ^{0}$$

J
/
ψ
→

K
+

K
-

π
+

π
-

π
0

contradict the measurements performed by other groups in the last century, but agree well with recent results of BABAR and BESIII collaborations.
Experienced CEO and Factor Productivity Improvement: Re‐Examination of Experience Trap
Authors: Zhu Chengpeng , Wu Mengyun , Xiong Jie
Published: October 2022

We examine the role of experienced CEO in the CEO succession and their contributions to the performance of focal firms. We utilize the propensity score matching with difference in differences (PSM‐DID) model to evaluate to what extent experienced CEO succession affects the total factor productivity (TFP) growth. Based on the analysis of 1,675 listed manufacturing companies in China, results show that experienced CEO in succession significantly improves firms’ TFP. Our analysis demonstrates that, on average, the event of hiring an experienced CEO succession yields a 3.1% increase in TFP improvement compared with nonsuccession firms. This positive effect can be continued for three years. Furthermore, the heterogeneous effect of experienced CEO succession on TFP is shown between different categories of focal firms (i.e., high‐tech versus low‐tech enterprises).
Alveolar Proteinosis in COVID-19: Clinical Case
Authors: Martin Bote Silvia , Herrera Morueco Maria Angeles , Arias Arcos Beatriz , García Lopez Javier , Lopez-Muñiz Ballesteros Maria Belen
Published: October 2022

Pulmonary alveolar proteinosis (PAP) is a rare, diffuse lung disease characterized by accumulation of lipoprotein in lung surfactant in the alveolar space and terminal bronchioles, leading to impaired gas exchange and arterial hypoxemia. We present the case of a 51-year-old woman who was admitted with a diagnosis of severe SARS-CoV-2 pneumonia. Her condition did not improve with corticosteroids. A chest CT scan revealed ground-glass opacities in all lung lobes, with septal thickening. A differential diagnosis was proposed with other diseases. Bronchoscopy revealed milky bronchoalveolar lavage fluid, and staining with periodic acid–Schiff was positive, thus indicating PAP. Therefore, the patient underwent whole lung lavage, which led to clinical, radiological, and functional improvement. In the context of the COVID-19 pandemic, differential diagnosis ensures that appropriate attention is given to less prevalent entities such as PAP.
Uniformly Convergent Scheme for Singularly Perturbed Space Delay Parabolic Differential Equation with Discontinuous Convection Coefficient and Source Term
Authors: Ayele Mulunesh Amsalu , Tiruneh Awoke Andargie , Derese Getachew Adamu
Published: October 2022

A singularly perturbed delay parabolic problem of convection‐diffusion type with a discontinuous convection coefficient and source term is examined. In the problem, strong interior layers and weak boundary layers are exhibited due to a large delay in the spatial variable and discontinuity of convection coefficient and source. The problem is discretized by a nonstandard finite difference scheme in the spatial variable and for the time derivative, we used the Crank–Nicolson scheme. To enhance the order of convergence of the spatial variable, the Richardson extrapolation technique is applied. The error analysis of the proposed scheme was carried out and proved that the scheme is uniformly convergent of second order in both spatial and temporal variables. Numerical experiments are performed to verify the theoretical estimates.
Integrity Protection for Data Aggregation in Smart Grid
Authors: Zhu Qing , Lin Huijie , Wan Changsheng , Xie Yuan , Peng Shaowu
Published: October 2022

To evaluate the working state of the smart grid, users need to count the status of devices collected by multiple smart meters. To avoid network congestion during data collection processes in the smart grid, an aggregation protocol is required to aggregate messages from multiple smart meters into one short message. However, since these messages may contain sensitive information of smart meters, privacy is a fundamental requirement for such a data aggregation protocol. At the same time, to avoid tampering of transmitted messages, data integrity is another important requirement during data aggregation. Currently, the privacy issue has been well addressed by using homomorphic encryption algorithms such as the Paillier cryptographic system, where multiple smart meters use the same encryption key for encrypting different messages. However, the integrity issue is much harder than the privacy issue since multiple smart meters use different private keys for signing different messages. To address the integrity issue, we propose a novel data aggregation protocol for the smart grid, called DASG. In DASG, we shall show how to aggregate signatures from multiple smart meters using the Chinese Remainder theorem and the Lagrange interpolation techniques, respectively. Since these two techniques can aggregate multiple messages into one, DASG is quite light-weight. Therefore, our newly designed data aggregation protocol for the smart grid can achieve both security and efficiency goals in the smart grid environment. Experimental results show that DASG is feasible for real world applications.
Classification Algorithm for Heterogeneous Network Data Streams Based on Big Data Active Learning
Authors: Zhan Lili
Published: October 2022

Data classification is one of the main tasks in the current data mining field, and the existing network data triage algorithms have problems such as too small a proportion of labeled samples, a large amount of noise, and redundant data, which lead to low classification accuracy of data stream implementation. Network embedding can effectively improve these problems, but the network embedding itself has problems such as capturing relational honor and ambiguity. This study proposes a SNN-RODE based LapRLS heterogeneous network data classification algorithm to achieve deep embedding of structure and semantics among nodes by constructing a multitask SNN and selecting dead song datasets to perform mining tasks to train the neural network. Then a semisupervised learning classifier based on Laplace regular least squares regression model is designed to use the relative support difference function as the decision method and optimize the function. The simulation experimental results show that the SNN-RODE-LapRLS algorithm improves the performance by 14%-51% over the mainstream classification algorithms, and the consumption time meets the demand of real-time classification.
Glossina pallidipes Density and Trypanosome Infection Rate in Arba Minch Zuria District of Gamo Zone, Southern Ethiopia
Authors: Tora Ephrem , Seyoum Wasihun , Lejebo Firew
Published: October 2022

Background. African trypanosomosis is a disease of both animals and humans resulting from infection with parasitaemic protozoa of the genus Trypanosoma transmitted mainly by the tsetse flies (Glossina species). The disease has been reported in different parts of the country. However, information on the apparent density and trypanosome infection rates of the vectors is very limited in the Southern part of Ethiopia. Therefore, this study was conducted to estimate the apparent density, infection rate of trypanosomes in Glossina pallidipes, and the trypanosome species involved in Arba Minch Zuria district of Southern Ethiopia. Methods. A cross-sectional study was conducted from January to June 2018 in two purposely selected kebeles of Arbaminch Zuria district and in the escarpments of Nech Sar National Park of Southern Ethiopia. For entomological survey, a total of 40 standard NGU traps were deployed around the watering and grazing areas. A total of 300 fresh Glossina pallidipes were examined for trypanosome infection using a dissection procedure as described by the FAO Training manual for tsetse control personnel. Results. The study revealed the presence of only one Glossina species, known as Glossina pallidipes, and biting flies including Stomoxys and Tabanus. A total of 2176 flies were caught of which 1803 (82.86%) belong to Glossina pallidipes and the remaining 373 (17.14%) were biting flies. The overall apparent density of Glossina pallidipes and biting flies in the study area were 15.03 fly/trap/day (F/T/D) and 3.11 F/T/D, respectively. Relatively higher Glossina pallidipes and biting flies, respectively, were caught in a wood-grass land (15.87 F/T/D and 3.69 F/T/D) and riverine forest (15.13 F/T/D and 3.42 F/T/D) than bush land vegetation types (13.87 F/T/D and 1.76 F/T/D). The overall trypanosome infection rate of Glossina pallidipes was 17.67% (53/300). Two trypanosome species, namely, Trypanosoma congolense (66.04%) and Trypanosoma vivax (33.96%), were responsible for Glossina pallidipes infection in the study area. Trypanosome infection rate was significantly higher in female G. pallidipes than in male (

OR
=
3.39

,

95
%
CI
=
1.53
‐
7.52

). Significantly, higher trypanosome infection rate was observed in flies older than 20 days (

OR
=
2.5

,

95
%
CI
=
1.12
‐
5.56

) and in hunger stage 1 flies (

OR
=
14.24

,

95
%
CI
=
4.01
‐
50.59

). Glossina pallidipes infection was significantly higher in and around park grazing areas (

OR
=
3.41

,

95
%
CI
=
1.76
‐
6.6

) and wood-grass land vegetation type (

OR
=
2.7

,

95
%
CI
=
1.2
‐
6.5

). Conclusion. The current study revealed high apparent density and trypanosome infection in Glossina pallidipes in Arba Minch Zuria district of Southern Ethiopia. So, this study warrants the need for strengthening both vector and parasite control strategies in the study area.
Vehicle Load Spectrum and Fatigue Vehicle Model of a Long‐Span Concrete‐Filled Steel Tube (CFST) Arch Bridge Based on Measured Data of Weight‐In‐Motion System
Authors: Deng Luming , Deng Yulin
Published: October 2022

Highway traffic load, speed, and volume have been increasing continuously over the years. Because of its special structural form, the fatigue problem of a long‐span concrete‐filled steel tube arch bridge becomes more and more serious. To research the vehicle load spectrum and fatigue vehicle model of a long‐span concrete‐filled steel tubular arch bridge, the traffic data of the arch bridge were collected using the weight‐in‐motion system. The vehicle type and vehicle load in the actual traffic flow have strong stochastic characteristics, which cannot be directly applied. Therefore, according to the measured data, 10 representative models are proposed to facilitate the classification and screening of vehicle data. The wheelbase, mass, axle load, and overload data of the representative vehicle types were analysed, and the axle load distribution characteristics of vehicles in different lanes were studied. It is found that the vehicle load is not uniformly distributed in different lanes but concentrated in one lane. Moreover, a vehicle load spectrum for the fatigue assessment of the long‐span concrete‐filled steel tubular arch bridge is proposed. Based on the fatigue damage equivalence principle, a fatigue vehicle model and a simplified fatigue vehicle model of bridge heavy‐duty vehicles are proposed. Compared with the model in the AASHTO specification, it is found that the weight of the local fatigue vehicle load model is 15.1 t heavier than the vehicle model given in the specification. This study could be further referenced in bridge‐fatigue life prediction, management and maintenance, etc.
A Case Report and Literature Review of Pseudo‐TORCH Syndrome Type 2 (PTORCH2)
Authors: Misk Rami A. , Qawasme Lama , Abunejma Fawzy M. , Abu Rahma Bahaa Ibrahim , Abuawwad Ehab Mohammad , Abu Iram Raja Imad , Karaki Abdulrahman Hussein , Alzughayyar Tareq Z. , Zalloum Jihad Samer
Published: October 2022

A pseudo‐TORCH syndrome is a rare autosomal recessive disease characterized by intracranial calcification and microcephaly, leading to spasticity and seizures, but the serology of TORCH infection is negative. We present a 4‐day‐old female patient with jaundice, abnormal movement, and convulsions who was found to be homozygous for the missense USP18 gene mutation that causes pseudo‐TORCH syndrome 2 (PTORCH2). The patient was managed with conservative measures.
Kidney Tumor Detection and Classification Based on Deep Learning Approaches: A New Dataset in CT Scans
Authors: Alzu’bi Dalia , Abdullah Malak , Hmeidi Ismail , AlAzab Rami , Gharaibeh Maha , El-Heis Mwaffaq , Almotairi Khaled H. , Forestiero Agostino , Hussein Ahmad MohdAziz , Abualigah Laith
Published: October 2022

Kidney tumor (KT) is one of the diseases that have affected our society and is the seventh most common tumor in both men and women worldwide. The early detection of KT has significant benefits in reducing death rates, producing preventive measures that reduce effects, and overcoming the tumor. Compared to the tedious and time-consuming traditional diagnosis, automatic detection algorithms of deep learning (DL) can save diagnosis time, improve test accuracy, reduce costs, and reduce the radiologist’s workload. In this paper, we present detection models for diagnosing the presence of KTs in computed tomography (CT) scans. Toward detecting and classifying KT, we proposed 2D-CNN models; three models are concerning KT detection such as a 2D convolutional neural network with six layers (CNN-6), a ResNet50 with 50 layers, and a VGG16 with 16 layers. The last model is for KT classification as a 2D convolutional neural network with four layers (CNN-4). In addition, a novel dataset from the King Abdullah University Hospital (KAUH) has been collected that consists of 8,400 images of 120 adult patients who have performed CT scans for suspected kidney masses. The dataset was divided into 80% for the training set and 20% for the testing set. The accuracy results for the detection models of 2D CNN-6 and ResNet50 reached 97%, 96%, and 60%, respectively. At the same time, the accuracy results for the classification model of the 2D CNN-4 reached 92%. Our novel models achieved promising results; they enhance the diagnosis of patient conditions with high accuracy, reducing radiologist’s workload and providing them with a tool that can automatically assess the condition of the kidneys, reducing the risk of misdiagnosis. Furthermore, increasing the quality of healthcare service and early detection can change the disease’s track and preserve the patient’s life.
Separation Control for a Transonic Convex Corner Flow Using Ramp-Type Vortex Generators
Authors: Su Kao-Chun , Chung Kung-Ming , Isaev Sergey
Published: October 2022

A flap can be used to control wing camber and as a high-lift device. A convex corner is a simplified model of the upper surface of a flap. At transonic speeds, shock-induced boundary layer separation (SIBLS) occurs at greater freestream Mach numbers and deflection angles. This results in energy losses and a reduction in aerodynamic performance. This study installs ramp-type vortex generators (VGs) upstream of a convex corner, and the effect of the height of the VG on SIBLS is determined. As the height of the VG increases, the magnitude of the mean surface pressure upstream of the corner increases and downstream expansion decreases, which results in a reduction in lift. A reduction in peak surface pressure fluctuations, the separation length, and the frequency of shock oscillation is also determined. For flow control and lift enhancement, micro-VGs are more effective.
Identification of Differentially Expressed Genes Associated with the Prognosis and Diagnosis of Hepatocellular Carcinoma by Integrated Bioinformatics Analysis
Authors: Kakar Mohib Ullah , Mehboob Muhammad Zubair , Akram Muhammad , Shah Muddaser , Shakir Yasmeen , Ijaz Hafza Wajeeha , Aziz Ubair , Ullah Zahid , Ahmad Sajjad , Ali Sikandar , Yin Yongxiang
Published: October 2022

Objective. The goal of this study was to understand the possible core genes associated with hepatocellular carcinoma (HCC) pathogenesis and prognosis. Methods. GEO contains datasets of gene expression, miRNA, and methylation patterns of diseased and healthy/control patients. The GSE62232 dataset was selected by employing the server Gene Expression Omnibus. A total of 91 samples were collected, including 81 HCC and 10 healthy samples as control. GSE62232 was analysed through GEO2R, and Functional Enrichment Analysis was performed to extract rational information from a set of DEGs. The Protein‐Protein Relationship Networking search method has been used for extracting the interacting genes. MCC method was used to calculate the top 10 genes according to their importance. Hub genes in the network were analysed using GEPIA to estimate the effect of their differential expression on cancer progression. Results. We identified the top 10 hub genes through CytoHubba plugin. These included BUB1, BUB1B, CCNB1, CCNA2, CCNB2, CDC20, CDK1 and MAD2L1, NCAPG, and NDC80. NCAPG and NDC80 reported for the first time in this study while the remaining from a recently reported literature. The pathogenesis of HCC may be directly linked with the aforementioned genes. In this analysis, we found critical genes for HCC that showed recommendations for future prognostic and predictive biomarkers studies that could promote selective molecular therapy for HCC.
Seismic Behavior of Box Steel Bridge Pier with Built-In Energy Dissipation Steel Plates
Authors: Han Xue , Jiang Anlong , Zheng Jinhuo , Zhou Xiangui , Chen Yewei , Fang Sibao , Li Xin , He Jianhua , Li Haifeng
Published: October 2022

Based on the design concept of earthquake-resilient structure, a new-type of box-shaped steel piers with embedded energy-dissipating steel plates was proposed. Quasi-static tests of 6 box-shaped steel pier specimens under variable axial pressure and cyclic horizontal loading were carried out. By analyzing the failure mode, load-displacement hysteretic curve, skeleton curve, displacement ductility coefficient, stiffness degradation characteristics, strength degradation coefficient, and cumulative hysteretic energy, the effects of setting energy-dissipating steel plate, axial compression ratio, and thickness of energy dissipation steel plates on the seismic performance of new-type steel piers were discussed. Finite element models of steel bridge piers were established and compared with the test results. The analysis results using FEM agree well with the test results. Results show that the setting of energy-dissipating steel plates can effectively improve the ductility, deformation capacity, and energy-dissipating capacity of box-shaped steel piers, and effectively delay buckling deformation and cracking of wall plates. The steel plate near the bolt hole of the wall plate at the root of the new-type of box-shaped steel piers is easy to crack due to stress concentration, resulting in a rapid reduction of the maximum bearing capacity of the specimens. With the increase of axial compression ratio, the bearing capacity, energy-dissipating capacity, and earthquake-resilient capacity of the specimens increase. The smaller the thickness of the replaceable energy-dissipating steel plates, the smaller the bearing capacity and faster the stiffness degradation of the specimens become, while the ductility and energy-dissipating capacity of the specimens are improved. The axial compression ratio and the thickness of the energy-dissipating steel plate have relatively little effect on the strength degradation of the specimens. In order to facilitate the popularization and application of the new-type steel piers, formulas were also established to calculate the bearing capacity and displacement ductility factor of the new-type of box-shaped steel piers.
Structural Stability Analysis in a Dynamic IS-LM-AS Macroeconomic Model with Inflation Expectations
Authors: Bazán Navarro Ciro Eduardo , Benazic Tomé Renato Mario
Published: October 2022

In this article, we carry out the structural analysis of an IS-LM-AS macroeconomic model with adaptive inflation expectations, exploring the presence of a possible local bifurcation. We prove that the model is structurally unstable when the speed with which economic agents adjust their expectations about future inflation is equal to the inverse of the semi-elasticity of real money demand with respect to the nominal interest rate since the periodic solutions are lost when the adaptive expectations parameter suffer any small change, ceteris paribus. Additionally, the phase portraits of the instantaneous rate of change of the real interest rate, the inflation rate, and the instantaneous rate of change of the inflation rate are numerically simulated in

ℝ

3

with MATLAB for three asymptotically and locally stable cases and for the degenerate Hopf bifurcation. Finally, our results show that, specifically, in the case of pure conjugate complex eigenvalues, the economy could enter periods of an inflationary/deflationary spiral when the adaptive expectations parameter is of greater magnitude to the inverse of the semi-elasticity of real money demand balances with respect to the nominal interest rate, regardless of its initial state.
Replacement of Congenitally Missing Maxillary Lateral Incisor with Two-Buccal-Retainer Resin-Bonded Fixed Dental Prosthesis Modified by Proximal Boxes
Authors: Marmar Lama , Shihabi Safaa Bassam , Jamous Issam
Published: October 2022

A 21-year-old male patient with congenitally missing maxillary right lateral incisor presented to Fixed Prosthodontics Department at the Faculty of Dentistry, Damascus University (Damascus, Syria). A two-buccal-retainer lithium disilicate glass-ceramic resin-bonded fixed dental prosthesis (RBFDP) was chosen to replace the missing tooth. This clinical report describes a novel preparation design of two-buccal-retainer lithium disilicate glass-ceramic RBFDP modified by proximal boxes. A recall appointment after 3 years showed no fracture, no de-bonding, no secondary caries, and no staining in prosthesis margins. Color matching with natural teeth was excellent, and the patient was satisfied.
Association between Copeptin and Metabolic Syndrome: A Systematic Review
Authors: Rojas-Humpire Ricardo , Soriano-Moreno David R. , Galindo-Yllu Brenda , Zafra-Tanaka Jessica Hanae
Published: October 2022

Background. Copeptin, a reliable marker for vasopressin release, has been associated with cardiometabolic diseases including metabolic syndrome (MetS). This systematic review aims to evaluate the association between copeptin and MetS. Methods. We searched in Pubmed, Scopus, EMBASE, and Web of Science databases until March 2021 and included observational studies (cohort studies, cross-sectional, and case-control) reporting the risk or prevalence of having MetS in patients with elevated copeptin levels compared to patients without elevated copeptin levels. The risk of bias was evaluated with the Newcastle-Ottawa Scale. Meta-analysis was not performed because of the heterogeneity of the copeptin cut-off values. Results. A total of 7 studies (5 cross-sectional, 1 case-control, and 1 cohort) were included comprising 11,699 participants. Most of them were performed in the adult general population. Two cross-sectional and one case-control studies found a positive significant association between higher levels of copeptin and MetS. While three cross-sectional and one cohort studies found no association. The case-control study had several methodological limitations, most cross-sectional studies were methodologically adequate and the cohort study had no methodological issues. Conclusions. The association between copeptin and MetS is inconsistent. However, the arginine-vasopressin system impairment contributes to metabolic disorders, expressing plasma copeptin changes. Thus, more longitudinal studies are required to corroborate the association of copeptin and MetS.
Effects of Low or High Dosages of Dietary Sodium Butyrate on the Growth and Health of the Liver and Intestine of Largemouth Bass, Micropterus salmoides
Authors: Ge Yiyang , Yao Shibin , Shi Ye , Cai Chunfang , Wang Chengrui , Wu Ping , Cao Xiamin , Ye Yuantu
Published: October 2022

The concentration of butyric acid in the intestine increased with the increase in the content of fermentable dietary fibre; however, the potential physiological impact of a high dose of butyric acid on fish has not been sufficiently studied. The aim of this study was to investigate the effect of two dosages of butyric acid on the growth and health of the liver and intestine of the largemouth bass (Micropterus salmoides). Sodium butyrate (SB) was added to the diet at 0 g/kg (CON), 2 g/kg (SB2), and 20 g/kg (SB20), and the juvenile largemouth bass were fed to apparent satiation for 56 days. No significant difference was observed in the specific growth rate or hepatosomatic index among the groups (

P
>
0.05

). The concentration of β-hydroxybutyric acid in the liver, the activities of alanine aminotransferase, aspartate aminotransferase, and alkaline phosphatase, and the concentrations of triglyceride and total cholesterol in serum increased significantly in the SB20 group compared to the CON group (

P
<
0.05

). The relative expression of fas, acc, il1b, nfkb, and tnfa in the liver of the SB20 groups was also significantly higher than that of the CON group (

P
<
0.05

). The above indicators in the group SB2 had similar change tendencies. The expression of nfkb and il1b in the intestine of both the SB2 and SB20 groups was significantly downregulated compared with that in the CON group (

P
<
0.05

). The size of hepatocytes was enlarged, and the intracellular lipid droplets and the degree of hepatic fibrosis were increased in the SB20 group compared to the CON group. There was no significant difference in intestinal morphology among the groups. The above results indicated that neither 2 g/kg nor 20 g/kg SB had a positive effect on the growth of largemouth bass, while a high dosage of SB induced liver fat accumulation and fibrosis.