bluuebunny/crossref_metadata_2025 huggingface dataset:
The jagged western edge of Laurentia: The role of inherited rifted lithospheric structure in subsequent tectonism in the Pacific Northwest
Authors: Tikoff B. , Kelso P. , Fayon A.K. , Gaschnig R. , Russo R.M. , Vervoort J. , Jicha B. , Kahn M.J.
Published: May 2022

The rifted Precambrian margin of western Laurentia is hypothesized to have consisted of a series of ~330°-oriented rift segments and ~060°-oriented transform segments. One difficulty with this idea is that the87Sr/86Sri = 0.706 isopleth, which is inferred to coincide with the trace of this rifted margin, is oriented approximately N-S along the western edge of the Idaho batholith and E-W in northern Idaho; the transition between the N-S– and E-W–oriented segments occurs near Orofino, Idaho. We present new paleomagnetic and geochronologic evidence that indicates that the area around Orofino, Idaho, has rotated ~30° clockwise since ca. 85 Ma. Consequently, we interpret the current N-S–oriented margin as originally oriented ~330°, consistent with a Precambrian rift segment, and the E-W margin as originally oriented ~060°, consistent with a transform segment. Independent geochemical and seismic evidence corroborates this interpretation of rotation of Blue Mountains terranes and adjacent Laurentian block. Left-lateral motion along the Lewis and Clark zone during Late Cretaceous–Paleogene time likely accommodated this rotation. The clockwise rotation partially explains the presence of the Columbia embayment, as Laurentian lithosphere was located further west. Restoration of the rotation results in a reconstructed Neoproterozoic margin with a distinct promontory and embayment, and it constrains the rifting direction as SW oriented. The rigid Precambrian rift-transform corner created a transpressional syntaxis during middle Cretaceous deformation associated with the western Idaho and Ahsahka shear zones. During the late Miocene to present, the Precambrian rift-transform corner has acted as a fulcrum, with the Blue Mountains terranes as the lever arm. This motion also explains the paired fan-shaped contractional deformation of the Yakima fold-and-thrust belt and fan-shaped extensional deformation in the Hells Canyon extensional province.
Palinopsia
Authors: Schimansky Sarah , Bennetto Luke , Harrison Rhys
Published: May 2022

Palinopsia is an uncommon but important neuro-ophthalmic condition. It can present with a range of visual phenomena and may be misdiagnosed as migraine or a functional disorder. The list of possible causes is long and includes structural cerebral lesions. We present a clinical case to illustrate the condition before reviewing different palinoptic subtypes and discussing how these may help clinicians to narrow the differential diagnosis.
Benchmark planes for Higgs-to-Higgs decays in the NMSSM
Authors: Ellwanger Ulrich , Hugonie Cyril
Published: May 2022

We present benchmark planes (or lines) with cross sections via gluon fusion for the processes $$H\rightarrow h+H_{S}$$

H
→
h
+

H
S

, resonant Higgs pair and triple Higgs production, $$A \rightarrow h+(A_S \rightarrow \gamma \gamma )$$

A
→
h
+
(

A
S

→
γ
γ
)

, $$A \rightarrow Z+ h$$

A
→
Z
+
h

and $$A \rightarrow Z+ H_{S}$$

A
→
Z
+

H
S

within the Next-to-Minimal Supersymmetric Standard Model. Moreover we propose new searches for $$H\rightarrow h+(H_{S} \rightarrow t{\bar{t}})$$

H
→
h
+
(

H
S

→
t

t

¯

)

, $$A \rightarrow Z+ (H_{S}\rightarrow h+h)$$

A
→
Z
+
(

H
S

→
h
+
h
)

and $$A \rightarrow Z+ (H_{S}\rightarrow t{\bar{t}})$$

A
→
Z
+
(

H
S

→
t

t

¯

)

for which possible cross sections are given. These allow the experimental collaborations to verify in the future which search channels cover yet unexplored regions of the parameter space. Expressions for the dominant contributions to trilinear Higgs couplings and Higgs–Z couplings are discussed which allow to identify the dominant processes contributing to a given final state.
How to understand the X(2900)?
Authors: Wang Bo , Zhu Shi-Lin
Published: May 2022

In this work, the S- and P-wave $$\bar{D}^*K^*$$

D

¯

∗

K
∗

interactions are studied in a coupled-channel formalism to understand the recently observed $$X_0(2900)$$

X
0

(
2900
)

and $$X_1(2900)$$

X
1

(
2900
)

at LHCb. The experimental event distributions can be well described, and two states with $$I(J^P)=0(0^+)$$

I

(

J
P

)

=
0

(

0
+

)

and $$0(1^-)$$

0
(

1
-

)

are yielded in a unified framework. The masses of the $$0^+$$

0
+

and $$1^-$$

1
-

states are consistent with the experimental data, but the width of the $$0^+$$

0
+

state is larger than that of the $$1^-$$

1
-

one. The $$X_1(2900)$$

X
1

(
2900
)

can be interpreted as the P-wave excitation of the ground-state $$X_0(2900)$$

X
0

(
2900
)

in the hadronic molecular picture. The S- and P-wave multiplets in the $$\bar{D}^*K^*$$

D

¯

∗

K
∗

system have many members, so the present peak in the $$D^-K^+$$

D
-

K
+

invariant mass distributions might contain multi substructures.
Comparison of Price-Volume Correlation for Some Cryptocurrencies Based on MF-ADCCA
Authors: Yan Yan , Shao Wei , Wang Jian
Published: May 2022

In this paper, we explored the price-volume cross-correlation asymmetric multifractal properties of some cryptocurrencies using multifractal asymmetric detrended cross-correlation analysis (MF-ADCCA). Bitcoin, Ethereum, Tether, Binance Coin, Cardano, and Dogecoin are examples of cryptocurrencies. The empirical results reveal that the price-volume cross-correlations of all six cryptocurrencies display anti-persistent, multifractal, and asymmetric features, although the degree of these characteristics differs depending on the cryptocurrencies and market trends. Specifically, the anti-persistence multifractal of the price-volume cross-correlation is significantly stronger in the upward market than in the downward market for Bitcoin and Ethereum; for the remaining four cryptocurrencies, the opposite result is obtained. Furthermore, Dogecoin price-volume cross-correlation exhibits the most marked anti-persistence and the most significant asymmetric multifractality among the six cryptocurrencies analyzed.
Global dynamical analysis of H5 subtype avian influenza model
Authors: Chen Ya , Jin Zhen , Zhang Juping , Wang Youming , Zhang Juan
Published: May 2022

In order to study the comprehensive influence of factors such as contact between resident birds and poultry, poultry recruitment, environment and other factors on the transmission and control of H5 subtype avian influenza virus, a dynamic model of resident birds and poultry is developed. First, the basic reproduction number [Formula: see text] is obtained. When [Formula: see text], the dynamic model have a unique positive equilibrium and the disease persisted. Second, the Lyapunov functions is constructed to determine the global stability of the disease-free equilibrium and the endemic equilibrium. The results of numerical simulation show that regular disinfection and sterilization can increase the mortality of virus and effectively prevent the occurrence of epidemic situation. Although closing the live poultry trading market is not the main measure to control the epidemic, but it can control the epidemic to a lower level. Therefore, the regular closure of trading markets and sterilization can prevent and control the spread of the epidemic.
Influence of various functional groups in graphene on the mechanical and interfacial properties of epoxy nanocomposites: A review on molecular modeling and MD simulations
Authors: Yadav Aman , Kumar Amit , Sharma Kamal , Pandey A. K.
Published: May 2022

Molecular dynamics (MD) simulations permit copying methodical differences of mechanical and interfacial properties outside the scope of experimental approaches. This paper reviews the effect of graphene on the mechanical properties such as Young’s modulus, shear modulus, ultimate tensile strength and Young’s modulus of epoxy nanocomposites via MD simulations. In MD simulation arrangement, the computational techniques are studied for dissimilar qualities of mixing a polymer matrix with graphene as the nanofiller. Subsequently, numerous papers are discussed involving graphene and its polymer nanocomposites. Furthermore, advances in molecular modeling, simulation of graphene and their nanocomposites are deliberated by considering feature charge graphene assemblies, aspect ratio, weight fraction, atomic density, molecular energy and density effect as the primary factors. It was concluded from investigations that their mechanical properties as well as interfacial properties are suitable for scientific applications.
Investigation of the Redox Potential of Lithium and Its Dissolution in the LiCl–KCl Eutectic
Authors: Zhao Jia , Wang Yuyang , Lu Guimin
Published: May 2022

This present paper reports two fundamental thermodynamic data, including redox potential of Li+ and dissolution rate of metallic lithium in the LiCl–KCl eutectic for promoting the development of metallic lithium. Firstly, data from the first-principles molecular dynamics (FPMD) simulation was used for deep potential (DP) model training. The model’s reliability was then evaluated by the consistency of the energy, force, and radial distribution functions by comparing with FPMD simulation. After that, machine learning-driven molecular dynamics was performed by deep potential molecular dynamics (DPMD) to predict the redox potential of Li+/Li vs Cl2/Cl− in the LiCl–KCl eutectic. Compared with electromotive force measurements results, the maximum relative error is 6.86%. Finally, we investigated the effects of current density and temperature on lithium metal dissolution rate in the LiCl–KCl eutectic by the strategy of current reversal chronopotentiometry, respectively. In the current density range (0.041–0.245 A cm−2), the effect of current density on the dissolution rate of metallic lithium is negligible. As expected, lithium metal prefers to dissolve at high temperatures, and the activation energy of dissolution of lithium in LiCl–KCl eutectic is Ea = 27.78 kJ·mol−1.
Hydrogen: Targeting $1/kg in 1 Decade
Authors: Pivovar Bryan S. , Ruth Mark F. , Myers Deborah J. , Dinh Huyen N.
Published: May 2022

The societal energy system is evolving rapidly as the impacts of our existing energy system are better appreciated and technological advances have dramatically decreased the cost of renewable resources. Simultaneously, the importance of energy transfer across timeframes and the difficulty of decarbonizing the industrial loads and transportation demands using electricity are being recognized. At the center of this need is achieving low-cost clean hydrogen. The U.S. Department of Energy launched the Hydrogen Energy EarthShot which seeks to reduce the cost of clean hydrogen to $1 per 1 kilogram in one decade. Reaching the $1/kg goal is dependent on the evolution of the electrical energy system to increase renewable energy deployment and low electricity costs; advances in electrolysis technology and manufacturing readiness; and infrastructure build-out and hydrogen market establishment that results in the ability to make, move, store, and use clean hydrogen economically while spurring job creation.
Hydrogen at Scale Using Low-Temperature Anion Exchange Membrane Electrolyzers
Authors: Mukerjee Sanjeev , Yan Yushan , Xu Hui
Published: May 2022

Among the two commercial low-temperature electrolyzers, alkaline liquid electrolyzers (AELs) and proton exchange membrane electrolyzers (PEMELs), AELs have the largest market share. They are durable, with a system lifetime of 30–40 years. The principal issues are high ohmic resistance and thicker diaphragms lowering voltage efficiency and limiting current density performance. In addition, the use of corrosive liquid electrolytes increases system-level costs. Typically, the pressure ranges available are low and hence the need for additional compression technologies for hydrogen storage and transportation. In comparison with AELs, PEMELs have higher current density and voltage efficiency, fast dynamic response, compact cell design, and the ability to be pressurized. However, the principal disadvantage of PEMELs is their costly platinum-group metals and titanium-based stack components. Anion exchange membrane electrolyzers (AEMELs) combine the features and advantages of AELs and PEMELs. In AEMELs, denser hydroxide ion exchange membranes replace the microporous diaphragm separators of AELs, thus enabling hydrogen pressurization and operation at high current density. In addition, they replace precious metals in PEMELs with earth-abundant, inexpensive materials, making them more affordable and scalable.
Hydrogen is Essential for Industry and Transportation Decarbonization
Authors: Borup Rod , Krause Ted , Brouwer Jack
Published: May 2022

Hydrogen will play a critical role in a future comprehensive energy portfolio; hydrogen will be the decarbonizing tie between the different energy production sources and their end uses. Hydrogen acts as a zero-carbon energy carrier to couple energy sources and end uses. This provides the methodology to decarbonize the major energy consumption sectors of (1) the electric grid, (2) transportation and (3) industrial processes. It can provide energy storage supporting intermittent renewable power and cost-effective energy resilience; it enables the massive and seasonal energy storage that is required for a zero-emissions electric grid. It can be used in the transportation sector, especially for heavy-duty transportation where long ranges and fast refueling are critical. Renewable hydrogen is critical to decarbonize industrial processes that have needs for high temperature, chemical reduction and refining and chemical feedstocks. Hydrogen is potentially the only viable method to decarbonize all sectors of the economy simultaneously.
Ho@C82 Metallofullerene: Calculated Isomeric Composition
Authors: Slanina Zdeněk , Uhlík Filip , Feng Lai , Adamowicz Ludwik
Published: May 2022

Relative populations of the three energy-lowest IPR (isolated-pentagon-rule) isomers of Ho@C82 under the high-temperature synthetic conditions are computed using the Gibbs energy based on characteristics from the density functional theory calculations (B3LYP/3-21G ∼ SDD entropy term, B3LYP/6-31G* ∼ SDD energetics). Two major species are predicted, Ho@C
2v
; 9-C82 and Ho@C

s
(c); 6-C82, with rather comparable populations under supposed synthetic temperatures. Roles of the inter-isomeric thermodynamic equilibrium and solubility are discussed.
Cerebral hemodynamics during sustained intraoperative hypotension
Authors: Kho Eline , Sperna Weiland Nicolaas H. , Vlaar Alexander P. J. , Veelo Denise P. , van der Ster Björn J. P. , Corsmit Oskar T. , Koolbergen Dave R. , Dilai José , Immink Rogier V.
Published: May 2022

Intraoperative hypotension is normally avoided by anesthesiologists. However, for the Personalized External Aortic Root Support (PEARS) procedure, deep-induced hypotension is an essential requirement for the surgeon to be able to manipulate the aortic root. In this procedure, blood pressure and middle cerebral artery blood flow velocity were monitored. In this study, we assessed cerebral autoregulation during sustained hypotension, to give an insight into its behavior during hypotension.
Occurrence of Pharmaceutical Residues and Antibiotic-Resistant Bacteria in Water and Sediments from Major Reservoirs (Owabi and Barekese Dams) in Ghana
Authors: Gyesi Joseph Nana , Nyaaba Bismark Anabila , Darko Godfred , Mills-Robertson Felix Charles , Miezah Kodwo , Acheampong Nana Aboagye , Frimpong Felicia , Gyimah Grace , Quansah Bridget , Borquaye Lawrence Sheringham
Published: May 2022

The presence of pharmaceuticals in the environment is undesirable since their biological activity may impair ecosystem health of reservoirs that receive inflows from other water sources. This work determined the concentrations of analgesics and antibiotics, and the occurrence of antimicrobial resistance among microbes in water and sediment samples from Owabi and Barekese reservoirs—two main sources of pipe-borne water in the Kumasi metropolis in Ghana. The study also assessed the knowledge, attitude, and practice of inhabitants near these reservoirs regarding the disposal of unused and expired medicines. Out of nine targeted pharmaceuticals, four were detected in at least one sample. Five analytes (caffeine, ciprofloxacin, doxycycline, ibuprofen, and metronidazole) were below detection limit for all samples. The levels of pharmaceuticals were low, as expected, ranging from 0.06 to 36.51 μg/L in the water samples and 3.34–4.80 μg/kg in sediments. The highest detected concentration of any pharmaceutical in water was for diclofenac (107.87 μg/L), followed by metronidazole (22.23 μg/L), amoxicillin (1.86 μg/L), chloramphenicol (0.85 μg/L), and paracetamol (0.16 μg/L). Chloramphenicol recorded the highest concentration (10.22 μg/kg) in the sediments. Five bacteria isolates (Enterobacter, Clostridium, Pseudomonas, Acinetobacter, and Klebsiella) from the samples were resistant to all the antibiotics tested. Isolates of Corynebacterium and Listeria showed susceptibility to only doxycycline. Isolates of Bacillus were susceptible to only two antibiotics (erythromycin and doxycycline). All the 100 respondents interviewed admitted that they dispose of medications once they do not need them. Of those who disposed of unwanted medicines, 79% did so inappropriately. Disposal in household trash (67%) was the most common method used. Majority of respondents felt the need for a facility or program to collect unused medicines (77%), hence their willingness to pay to reduce pollution by pharmaceuticals in the environment. It is quite clear from the ecotoxicological risk assessment that a single pharmaceutical at very low level as those in this study and other works is likely to pose many ecological risks upon long-term exposure and therefore cannot be ignored.
Finite-Time Orbit Control for Spacecraft Formation with External Disturbances and Limited Data Communication
Authors: Xing Lei , Ran Dechao , Zhang Jian , Huang Li
Published: May 2022

This work addresses the finite-time orbit control problem for spacecraft formation flying with external disturbances and limited data communication. A hysteretic quantizer is employed for data quantization in the controller-actuator channel to decrease the communication rate and prevent the chattering phenomenon caused by the logarithmic quantizer. Combined with the adding one power integrator method and backstepping technique, a new finite-time tracking control strategy with adaptation law is designed to ensure that the closed-loop system is practical finite-time stable, and that the tracking errors of relative position and velocity are bounded within finite-time despite with limited data communication and external disturbances. Finally, an example is shown to validate the effectiveness of the proposed finite-time tracking controller.
Extracellular Vesicles Derived from Adipose Mesenchymal Stem Cells Promote Peritoneal Healing by Activating MAPK-ERK1/2 and PI3K-Akt to Alleviate Postoperative Abdominal Adhesion
Authors: Shi Manyu , Liu Hengchen , Zhang Tingting , Zhang Mingzhao , Tang Xin , Zhang Zenan , Lu Wenjun , Yang Shulong , Jiang Zhitao , Cui Qingbo , Li Zhaozhu
Published: May 2022

Peritoneal regeneration and repair can alleviate postoperative intraperitoneal adhesions, and mesenchymal stem cells (MSCs) have demonstrated the potential for peritoneal repair and regeneration. However, extracellular vesicles (EVs) are the main carriers for the MSC activity. Thus far, the roles of MSC-derived EVs on peritoneal repair are not well understood. To investigate the therapeutic effect of adipose-derived mesenchymal stem cell-derived EVs (ADSC-EVs) in peritoneal injuries, ADSC-EVs were injected in vivo via the tail vein of rats. The antiadhesion effects were evaluated following abdominal surgery. In addition, the levels of the peritoneal fibrinolysis system were determined via enzyme-linked immunosorbent assay. Expression differences in inflammatory and apoptotic markers were detected using immunofluorescence. The expression of extracellular matrix-related indexes and peritoneal healing were observed using immunohistochemistry. In vitro, rat peritoneal mesothelial cell proliferation was assessed via a 5-ethynyl-2-deoxyuridine assay. Cell migration was determined using scratch wound and transwell assays. Related signaling networks were estimated based on sequencing and bioinformatics analyses. The roles of the MAPK–ERK1/2 and PI3K–Akt signaling networks were analyzed using immunoblotting. This is the first report of the effectiveness of ADSC-EVs in the treatment of postoperative adhesions. ADSC-EVs were incorporated in vitro and induced rat peritoneal mesothelial cell proliferation and migration. This was mediated by stimulation of the MAPK–ERK1/2 and PI3K–Akt axes. ADSC-EVs promote the healing of the injured peritoneum, suggesting a promising therapeutic approach for peritoneal adhesions.
Rock‐Breaking Laws of Disc Cutters with Different Height Differences in Hard Rock Strata
Authors: Lu Zelin , Wang Xuchun , Teng Hongwei , Guan Xiaoming , Song Chen , Fan Gang
Published: May 2022

When shield machine traverses through hard rock mass, disc cutters will be abraded to different degrees. Excessive height difference exists between adjacent disc cutters, which critically affects the rock‐breaking efficiency. Relying on a shield section of hard rock mass in Qingdao, the disc cutter abrasions are measured on site, and the reason for low construction efficiency is analysed. Subsequently, the discrete element method is used to study the rock‐breaking law under different height differences of disc cutters. The ultimate cutter height difference for rock breaking is obtained. According to this, the cutter adjustment scheme is proposed to reduce the cutter height differences on site. Comparing shield tunnelling parameters before and after the cutter adjustment, it is found that the construction efficiency is significantly improved. The results are of great significance for improving the rock‐breaking efficiency and increasing advancing speed of shield in hard rock mass.
Kinetic Analysis of Aluminum Extraction from Ethiopian Kaolinite Using Hydrochloric Acid
Authors: Kassa Adamu Esubalew , Shibeshi Nurelegne Tefera , Tizazu Belachew Zegale
Published: May 2022

The aim of this study was kinetic investigations of aluminum extraction from Ethiopian kaolinite with hydrochloric acid. The effects of extraction parameters, namely, solid-to-liquid ratio (0.05, 0.075, 0.100, and 0.125 g·mL−1), acid concentrations (2, 3, 4, and 5 M), reaction temperature (50, 60, 70, and 80°C), and time (20, 40, 60, 80, 100, 120, 140, 160, and 180 min), on yield of aluminum were investigated. The results revealed that the extraction yield of aluminum increased with increase of acid concentration, reaction temperature, and time and declined with increase of solid-to-liquid ratio. The kinetic analysis of aluminum extraction was evaluated using pseudohomogeneous, nucleation growth (Avrami), and shrinking core models. The results showed that kinetics of aluminum extraction were controlled by surface chemical reaction. The experimental results were well fitted by the shrinking core model of surface chemical reaction with first-order rate. The activation energy and the preexponential factor were 25.40 kJ·mol−1 and 0.949 cm·min−1, respectively. The leached solution samples were crystallized using evaporation and concentrated hydrochloric acid pouring. The volume ratios of concentrated hydrochloric acid to the samples were from 0.30 to 0.90 (v/v). The crystallization efficiency of aluminum chloride hexahydrate crystals increased with volume of hydrochloric acid and crystallization time. The crystallization yield of aluminum chloride hexahydrate crystals reached 90%. This study’s results clearly revealed that Ethiopian kaolinite could be a promising raw material to produce aluminum chloride hexahydrate, which could be used for water treatment application.
A Multi-label Propagation Algorithm for Community Detection Based on Average Mutual Information
Authors: Chen Yinan , Li Dong , Ye Meng
Published: May 2022

Community structure is one of the vital characteristics of complex networks. How to effectively detect communities is a hot issue. From the perspective of information theory, the community structure of complex networks can be detected and revealed more accurately. This research introduces the average mutual information (AMI) into the detection process of the multi-label propagation algorithm (MLPA) and proposes a new community detection algorithm AMI-MLPA. The algorithm initially determines the propagation order according to the influence of nodes in the network. By selecting the label with stronger propagation intensity and smaller conditional entropy in the process of label propagation, a more reasonable community partition can be obtained. Experiments on real-world datasets and synthetic datasets show that the algorithm is better than FastGN, GN, and other LPA-based algorithms in general, with high accuracy of results on large-scale synthetic networks, which verifies the effectiveness of the algorithm.
Implementation of Personalized Scenic Spot Recommendation Algorithm Based on Generalized Regression Neural Network for 5G Smart Tourism System
Authors: Lin Shuangqin
Published: May 2022

On the basis of the analysis of the evolution dynamics and the process of smart tourism service, this paper constructs the evolutionary game model of smart tourism service and reveals the evolution mechanism of smart tourism service based on the network platform. Based on the strategic main line of “advantages,” it proposes the design ideas and overall framework of the smart tourism service model based on the network platform, including the smart tourism information interactive service model, the element collaborative service model, and the value cocreation service model. The comparison of recommendation results shows that the recommendation error of the genetically improved generalized regression neural network algorithm is reduced, and the recommendation accuracy is better than that of the unimproved generalized regression neural network algorithm. In the recommendation scenario of click-through rate recommendation, the existing recommendation models are difficult to meet the functions of memory and generalization at the same time and cannot fully mine and combine low-level features, and the model parameters of the deep learning model are difficult to learn under the high-dimensional sparse data set of the recommendation system. To solve the problem of generalization, this paper proposes a deep CTR recommendation model based on the gradient boosting tree and factorization machine. It can fully mine low-level feature information and automatically realize low-level feature combination, which can better learn model parameters on high-dimensional sparse data sets, and the recommendation results are no longer overgeneralized. In this paper, simulation experiments are carried out on the data set, and the related recommendation models are compared. The experimental results show that the model proposed in this paper achieves better results in both the AUC (area under ROC curve) evaluation index and the cross-entropy evaluation index.
Isolation, Characterization, and Identification Candidate of Probiotic Bacteria Isolated from Wadi Papuyu (Anabas testudineus Bloch.) a Fermented Fish Product from Central Kalimantan, Indonesia
Authors: Soemarie Yulistia Budianti , Milanda Tiana , Barliana Melisa Intan
Published: May 2022

During the wadi fermentation process, some microorganisms can grow, including lactic acid bacteria (LAB), affecting the taste and texture of the final product. Some LAB strains are used as probiotics such as the Lactobacillus and Bifidobacterium groups. This study aimed at isolating, in vitro characterizing, and identifying microbial isolates from wadi papuyu (Anabas testudineus Bloch.). The stages started from sample collection, manufacture of wadi papuyu by fermentation for 8 days, isolation of bacteria from wadi papuyu, in vitro characterization, and identification of bacterial isolates with VITEK 2 Compact and PCR-sequencing methods 16S rRNA and 18S rRNA. The number of microbial colonies growing on MRS agar and MHA was 22 in total, while after purification and characterization it was observed only 4 different microbial isolates. Candidates are tested to determine whether they meet the criteria to be candidates for probiotic cultures. The in vitro testing of four isolates showed that they do not possess probiotic characteristics, especially in autoaggregation tests. Identification results using the VITEK 2 Compact method and 16S rRNA gene PCR-sequencing showed that of the 4 isolated strains, three were bacterial and one belonged to yeasts.
The ceRNA Crosstalk between mRNAs and lncRNAs in Diabetes Myocardial Infarction
Authors: Zhou Yun , Zhou Chengjun , Wei Lilong , Han Chengwu , Cao Yongtong
Published: May 2022

Competitive endogenous RNA regulation suggests an intricate network of all transcriptional RNAs that have the function of repressing miRNA function and regulating mRNA expression. Today, the specific ceRNA regulatory mechanisms of lncRNA–miRNA–mRNA in patients who have diabetes mellitus (DM) and myocardial infarction (MI) are still unknown. Two data sets, GSE34198 and GSE112690, were rooted in the Gene Expression Omnibus database to search for changes of lncRNA, miRNA, and mRNA in MI patients with diabetes. Weighted gene correlation network analysis (WGCNA) was used to identify the modules related to the development of diabetes in patients with MI. Target genes of miRNAs were predicted using miRWalk, TargetScan, mirDB, RNA22, and miRanda. Then, functional and enrichment analyses were performed to build the lncRNA–miRNA–mRNA interaction network. We built ceRNA regulatory networks with three lncRNAs, two miRNAs, and nine mRNAs. Differentially expressed genes enriched in biological process, including neutrophil activation, refer to immune response and positive system of defense feedback. Besides, there is significant enrichment in molecular function of calcium toll−like receptor binding, icosanoid binding, RAGE receptor binding, and arachidonic acid binding. Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis enriched differentially expressed genes (DEGs) in pathways that were well known in MI, indicating inflammation and immune response. Pathways associated with diabetes were also significantly enriched. We confirmed significantly altered lncRNA, miRNA, and mRNA in MI patients with diabetes, which might serve as biomarkers for the progress and development of diabetic cardiovascular diseases. We constructed a ceRNA regulatory network of lncRNA–miRNA–mRNA, which will enable us to understand the novel molecular mechanisms included in the initiation, progression, and interaction between DM and MI, laying the foundation for clinical diagnosis and treatment.
Sixth-Generation (6G) Mobile Cloud Security and Privacy Risks for AI System Using High-Performance Computing Implementation
Authors: Gundu Srinivasa Rao , Charanarur Panem , Chandelkar Kashinath K. , Samanta Debabrata , Poonia Ramesh Chandra , Chakraborty Partha
Published: May 2022

The exchange of information from one person to another is called communication. Telecommunication makes it possible with electronic devices and their tools. The scientist Alexander Graham Bell has invented the basic telephone in 1876 in the USA. Telephones now have the new format in the form of mobile phones, which are the primary media for communicating and transmitting data. We are using 5th-generation mobile network standards. Still, there are some requirements for the users that are believed to be solved in the 6th-generation mobile network standards. By 2030, all of the people would be using 6G. The computing model in the cloud is not dependent on either the location or any specific device that would provide the service. It is an on-demand computational service-oriented mechanism. Combining these two technologies as mobile cloud computing provides customized options with more flexible implementations. Artificial intelligence is being used in devices in many fields. AI can be used in mobile network services (MNS) to provide more reliable and customized services to the users, such as network operation monitoring, network operation management, fraud detection, and reduction in mobile transactions and security to the cyber devices. Combining cloud with AI in mobile network services in the 6th generation would improve human beings’ lives, such as zero road accidents, advanced level special health care, and zero crime rates in society. However, the most vital needs for sixth-generation standards are the capability to manage large volumes of records and excessive-statistics-fee connectivity in step with gadgets. The sixth-generation mobile network is under development. This generation has many exciting features. Security is the central issue that needs to be sorted out using appropriate forensic mechanisms. There is a need to approach high-performance computing for improved services to the end-user. Considering three-dimensional research methodologies (technical dimension, organizational dimension, and applications hosted on the cloud) in a high-performance computing environment leads to two different cases such as real-time stream processing and remote desktop connection and performance test. By ‘narrowing the targeted worldwide audience with a wide range of experiential opportunities,’ this paper is aimed at delivering dynamic and varied resource allocation for reliable and justified on-demand services.
Optimization of the Music Teaching Management System Based on Emotion Recognition
Authors: Wang Yin
Published: May 2022

Along with the development of social informatization, computer has been widely used in daily teaching and the technical support teaching management system, which can greatly improve the quality of students and teachers’ information sharing and teaching, and is an important part of college information construction. Teachers’ personal information, teaching information query, teaching file management, students’ attendance, students’ results query, teachers’ evaluation, and so on constitute the music teaching information management system. Based on the Internet of things technology and emotion recognition, this paper mainly describes the design idea of the music teaching management system software, function design, and implementation scheme. The realization process of each subfunction module and hardware and software of the system is described in detail. In view of the characteristics of music teaching management itself, combined with the actual situation of music teaching, to form the system structure analysis, database design and data exchange, and other aspects of exploration, in order to establish a practical music teaching management system.
On the Design and Development of Planar Monopole Antenna for Bone Crack/Void Detection
Authors: Boologam Ananda Venkatesan , Krishnan Kalimuthu , Palaniswamy Sandeep Kumar , Kumar Sachin , Bhowmik Shreya , Sharma Nivesh , Vaish Deepesh , Chatterjee Sourish
Published: May 2022

In this study, the design of a compact narrowband monopole antenna for bone crack detection is presented. The proposed antenna consists of a modified hexagon-shaped radiator with six triangular slits integrated on its bottom periphery, a rectangular-shaped ground plane, and a microstrip feed line of 50 Ω. The antenna is fabricated on the FR-4 substrate with a thickness of 1.6 mm, an overall size of 32 mm × 30 mm, and electrical dimensions of 0.13λ0 × 0.122λ0, where λ0 is the free space wavelength at 2.45 GHz. The resonant frequency of the designed antenna is 2.45 GHz. The antenna offers a gain of 1.68 dB and an efficiency of 85.3%. The presence of a crack in the bone is detected by observing the shift in the peak resonating frequency of the antenna. This method can detect bone fractures in a noninvasive manner. The human arm model is constructed, and the effect of bone cracks of different lengths on the resonating frequency is investigated. The pig bone and tissues are used to validate the simulated results. The simulated results are in agreement with the measured outcomes. Also, the specific absorption rate (SAR) of the antenna is calculated and found to be less than 0.57 W/kg. The designed monopole antenna has several advantages, including a small footprint, straightforward design, low cost, and easy integration with other devices. The proposed method is suitable for primary-level bone crack diagnosis.
The Efficacy of Acupuncture on Patients with Erectile Dysfunction: A Review
Authors: Wang Hao , Zhao Ming , Zhang Jiwei , Yan Bin , Liu Shengjing , Zhao Feng , Guo Jun , Wang Fu
Published: May 2022

Erectile dysfunction (ED) is one of the most common sexual dysfunctions in men. The prevalence of ED has been increasing in recent years, which has critically affected male reproductive health and quality of life. According to various guidelines, phosphodiesterase-5 inhibitors are the most commonly recommended drugs for treating ED. However, many patients turn to alternative therapies because of adverse reactions, such as headache, and the poor efficacy of these drugs. Acupuncture is a long-established treatment in traditional Chinese medicine (TCM) and has been approved by the World Health Organization for improving penile erection as well as other discomforts in patients. However, previous systematic reviews have not discussed the characteristics and the related mechanisms of acupuncture treatment. Therefore, this study focuses on summarizing the characteristics and advantages of TCM in acupuncture treatment for ED based on relevant literature and on predicting and analyzing the related mechanisms.
Research on the Edge Resource Allocation and Load Balancing Algorithm Based on Vehicle Trajectory
Authors: Zhao Shuxu , Chen Xinyuan , Wang Xiaolong
Published: May 2022

Edge computing empowers the IoV to achieve performance requirements such as low latency and high computational load for in‐vehicle services. However, the driving of vehicles is random and unevenly distributed, causing problems such as unbalanced load of edge servers and low edge resource utilization. Therefore, in this article, based on the vehicle trajectories, the edge resource allocation algorithm and load balancing algorithm are used to obtain the load prediction value of the edge server and then calculate the optimal edge resource quantity in order to reduce the resource idleness as much as possible. The experiments demonstrate that the application of the edge resource allocation algorithm and load balancing algorithm based on vehicle trajectory significantly reduces the blocking rate of edge resource requests by vehicles and improves the benefits of the overall IoV edge system.
Value of CT Radiomics Combined with Clinical Features in the Diagnosis of Allergic Bronchopulmonary Aspergillosis
Authors: Qian Xiaojun , Rong Hengmo , Wei Xue , Rong Guangsheng , Yao Mengxing
Published: May 2022

Objective. Early diagnosis of allergic bronchopulmonary aspergillosis (ABPA) and targeted treatment can block the process of the disease. This study explores the diagnostic value of CT radiomics combined with clinical features in allergic ABPA. Methods. A total of 40 patients with ABPA were studied retrospectively, divided into training set (

n
=
28

) and test set (

n
=
12

). Based on CT imaging, the radiomics features are extracted and combined with clinical features to build a diagnostic model. The diagnosis model was based on support vector machine algorithm. The receiver operating characteristic curve (ROC) and area under the curve (AUC) were used to evaluate the diagnostic efficiency of the model. Results. There was no significant difference in general information and clinical data between the training and test sets (

P
>
0.05

). The AUC of the training set and the test set is 0.896 (95% CI: 0.836-0.963) and 0.886 (95% CI: 0.821-0.952), respectively. Conclusion. Based on the CT radiomics model combined with clinical data, it has high efficiency in the diagnosis of ABPA.
Confirming Parkinson Disease Diagnosis: Patterns of Diagnostic Changes by Movement Disorder Specialists
Authors: Keshtkarjahromi Marzieh , Abraham Danielle S. , Gruber-Baldini Ann L. , Schrader Katrina , Reich Stephen G. , Savitt Joseph M. , Von Coelln Rainer , Shulman Lisa M.
Published: May 2022

Background. The American Academy of Neurology Parkinson Disease (PD) quality measures include an annual diagnostic review. Objective. To investigate the frequency and pattern of changes in diagnoses between PD and other causes of parkinsonism. Methods. This prospective longitudinal cohort study included consented patients diagnosed with PD at least once and a minimum of two times at the Movement Disorders Center between 2002 and 2017. Movement disorder specialists confirmed and documented diagnoses at every visit. Longitudinal changes in diagnoses were identified across visits. Results. Of 1567 patients with parkinsonism, 174 had non-PD parkinsonism with no change over time. Of 1393 patients diagnosed with PD at least once, 94% (N = 1308) had no change of diagnosis over time and 6% (N = 85) had a change of diagnosis including PD ⟷ drug-induced parkinsonism (DIP) (27.1%), PD ⟷ multiple system atrophy (MSA) (20.0%), PD ⟷ progressive supranuclear palsy (PSP) (18.8%), PD ⟷ Lewy body dementia (DLB) (16.5%), PD⟷ vascular parkinsonism (9.4%), more than two diagnoses (4.7%), and PD ⟷ corticobasal syndrome (CBS) (3.5%). The direction of diagnostic switches was as follows: PD ⟶ other parkinsonism diseases (36.5%), other parkinsonism diseases ⟶ PD (31.8%), and 31.8% of multiple switches. There were no significant differences in duration of follow-up, age at first visit, gender, race, marital status, education, income, cognition, or employment between the stable and unstable groups. Diagnostic change was associated with greater PD severity and greater medical comorbidity. Conclusion. Over a 15-year period, movement disorder specialists changed their clinical diagnosis of PD in 6% of patients. The most common diagnostic switches, to or from PD, were DIP, MSA, PSP, and DLB. This study describes routine clinical diagnostic patterns in the absence of pathologic confirmation. The presence of diverse diagnostic changes over time underscores the value of confirming PD diagnosis.
Health Personnel Improvement in the Implementation of Shariah’s Ethical Code of Conduct in Tangerang Hospital, Indonesia
Authors: Sulistiadi Wahyu , Rahayu Sri , Veruswati Meita , Asyary Al
Published: May 2022

Background. The Shariah hospital aims to provide health services inclusive of the appropriate code of ethics of Sharia, which exceeds the standard of service expected of conservative hospitals. Hospital care depends on the performance of health professionals. The study aimed to assess the relationship between the implementation of the ethical code of Shariah hospitals and the performance of health personnel. Methods. The study is a quantitative analysis that collects cross‐sectional data from 119 health personnel respondents in one Shariah hospital in Indonesia. Data analysis was performed using structural equation modeling (SEM). Results. The implementation of the ethical code of Shariah hospitals, whether explicit or implicit, has a significantly positive influence on the performance and well‐being of health personnel, which is evident from the t value of 4.31 (more substantial than the t value of 1.960). This implementation should run consistently and with the commitment of all parties. Conclusion. Such insight, in turn, can be counted as an input to an approach to health services, particularly in increasing the performance rates in hospital. This study is the first to provide new insight into discussion about Shariah hospital’s code of conduct by presenting its beneficiary to not only improve health personnels’ performance but also provide the inclusive health service for all religions and cultures which is essential in further study.
Dental Calculi of Siberian Natives, Russian Settlers, and Korean People of Joseon Dynasty Period in the 16th to 19th Century Eurasia Continent
Authors: Lee Hyejin , Hong Jong Ha , Tataurova Larisa , Slepchenko Sergey , Kim Jieun , Shin Dong Hoon
Published: May 2022

Objective. The prevalence of calculus is known to be variable by difference in diets or subsistence strategy between human populations. However, this situation has not been confirmed so far for hunter‐gatherers and farming people in terms of history. In this study, we tried to reveal the association of diets or subsistence with calculus in different historical populations: Siberian natives, Joseon period Korean people, and Russian settlers in Siberia. Design. We examined the teeth of Siberian natives (hunter‐gatherers), Russian (wheat farming) settlers, and Joseon (rice farming) people in sixteenth to nineteenth century. Age and sex were estimated using the methods of Buikstra and Ubelaker (1994). We examined specimens to detect signs of calculus formation in teeth. Calculus rates in each group were statistically compared, and the proportions of calculus by age or sex were also compared across each group. We used package R for statistical analysis. Results and Discussion. The prevalence of calculus deposition decreased in the order of Joseon people, Russian settlers, and Siberian natives. Our study proposes that the rate of calculi among farming people was evidently higher than that of hunter‐gatherers in sixteenth to nineteenth century Eurasia. In all three groups, calculus prevalence became higher as age increases and was noteworthy in males. Conclusion. Current study demonstrated a significant difference of calculus formation between those groups with different diets or subsistence strategies. Higher prevalence of dental calculus was observed in agriculturalist Joseon Koreans and Russian settlers, but Siberian natives exhibited relatively lower frequency of dental calculus. The results of this study enable us to reconsider the meaning of association between subsistence strategy and calculus in different historical populations.
Statistical Safety Performance Models considering Pavement and Roadway Characteristics
Authors: Li Joshua Q. , Liu Wenyao , Yang Xue , Lu Pan , Wang Kelvin C. P.
Published: May 2022

Transportation agencies build statistical models and predict the average crash frequency to identify hazardous road sections and make informed decisions to reduce crashes. In this paper, safety performance models (SPFs) were built and evaluated considering various pavement and roadway characteristics, including pavement friction, which is seldom available for analysis. Four count data models—Poisson model, negative binomial (NB) model, hurdle-NB model (HNB), and zero-inflated NB (ZINB) model—were built based on roadway characteristics and crash data provided by the Oklahoma Department of Transportation (ODOT). Pavement friction, roadway geometry, surface condition characteristics, and traffic exposure were considered the contributing factors to traffic crashes. Established models were compared in terms of the goodness-of-fit, zero inflation, and statistical significance of factors. The HNB model exhibited promising fitting performance with a manageable number of influencing variables. Coefficients in the HNB model suggest that adequate pavement friction and the presence of shoulders can significantly reduce the crash frequency and thus improve roadway safety performance. Potential issues of the statistical models, such as unobserved heterogeneity and multicollinearity, were also discussed. The relation between roadway infrastructure characteristics (including pavement friction) and roadway safety revealed in this study could assist in choosing the proper statistical model for better decision-making and selecting appropriate preventive treatments for improved roadway safety.