bluuebunny/crossref_metadata_2025_split huggingface dataset:
Antara Kubu dan Lubuk: Transisi Politik Johor dalam Pilihan Raya Umum Ke-15
Authors: Abdul Halim Shah Mohd Akmal , Ismail Muhamad Takiyuddin 
Published: June 2023

In analyzing the national trend of Malaysian politics, Johor politics have received special consideration for a long time. Johor’s political significance is also based on the state’s ethnic diversity, closely resembling the national demographic composition. The triumph of the National Front (BN) in the Johor State Elections in 2022 is a catalyst for the 15th General Election Malaysia (GE-15) to be held, which is thought to be favorable to UMNO-BN. However, in GE-15, held eight months later, UMNO-BN failed to continue its winning momentum in Johor. Based on this development, it is an intriguing occurrence to analyze the dynamics of Johor’s varied political trends. This study conducted qualitatively found that GE-15 in Johor shows a dynamic trend in the correlation between technical and sentimental factors that drive its trajectory. Overall, GE-15 in Johor is more overshadowed by national sentiment than local sentiment, which plays a less significant influence. Supported by sentimental factors, technical factors such as the split of the Malay vote in some urban and semi-urban areas gave The Alliance of Hope (PH) an advantage through the Chinese vote. BN and The National Alliance (PN) failed to dominate urban and semi-urban areas since the Malay vote was split into three factions. In rural areas, the tendency of BN voters to shift to PN voters continues to expand. Even though UMNO won the areas, GE-15 data indicates the party’s support is declining, and has become critical of UMNO. Based on the results of the GE-15 in Johor, this article argues that Johor no longer serves as UMNO’s bastion; instead, this status began to catch up with PH, which is the voter’s choice in most urban and semi-urban areas due to the vote division of the Malays.
The role of platinum-based antineoplastic drugs and their impact on complete pathological response and prognosis in patients with BRCA-associated triple-negative breast cancer after neoadjuvant treatment: a single institution experience
Authors: Enaldieva D. A. , Krivorotko P. V. , Imyanitov E. N. , Zhiltsova E. K. , Donskikh R. V. , Sokolenko A. P. , Shaykhelislamova L. F. , Tabagua T. T. , Gigolaeva L. P. , Komyakhov A. V. , Nikolaev K. S. , Zernov K. Yu. , Ereshchenko S. S. , Paltuev R. M. , Bessonov A. A. , Artemyeva A. S. , Pesotskiy R. S. , Amirov N. S. , Emelyanov A. S. , Mortada V. V. , Bondarchuk Ya. I. , Semiglazov V. V. , Semiglazova T. Yu. , Semiglazov V. F. , Belyaev A. M. 
Published: June 2023

Background. BRCA-associated triple negative breast cancer (TNBC) is considered one of the most aggressive subtypes of breast cancer with high sensitivity to chemotherapy, which leads to increased interest in finding new treatment options for patients with this subtype of breast cancer. Aim. To determine the role of adding a platinum drug to standard systemic neoadjuvant therapy (NAC) for patients with primary BRCA-associated TNBC with clinical stage T1–3N0–3M0, and to evaluate the effect of platinum-based drugs on recurrence-free survival in patients of this category. Materials and methods. The study included 75 patients diagnosed with primary BRCA-associated TNBC. They were divided into 2 groups depending on the NAC provided, and then they were subdivided depending on the completion of the course of ongoing NAC, the final pathomorphological result and the presence of recurrence. Results. Group I included 48 (64 %) patients who received the AC–T regimen; in group II (n = 27 (36 %)) patients received NAC according to the AC–TCarb regimen. Patients of group II showed a higher frequency of achieving pathological complete response (pCR) compared with patients of group I (73.7 % versus 41.2 %, respectively, p = 0.0433). Taking into account the NAC regimens being carried out, patients of group I had a slightly higher risk of recurrence compared to patients of group II (p = 0.099). Conclusion. In patients with primary BRCA-associated TNBC, the addition of platinum compounds to the systemic NAC resulted in achieving of pCR in 73.7 % cases compared with 41.2 % pCR after the standard anthracycline-taxane NAC, which entails a reduced risk recurrence in this category of patients. Performing a full course of planned NAC has a positive trend in achieving pCR in patients of this category.
Prognostic and predictive value of a novel 100-point scale in patients with T1–2N0M0 breast cancer
Authors: Paltuev R. M. , Kudaybergenova A. G. , Semiglazov V. F. , Artemyeva A. S. , Semiglazova T. Yu. , Komyakhov A. V. , Volynshchikova O. A. , Klimenko V. V. , Urezkova M. M. 
Published: June 2023

Aim. To increase the efficacy of systemic breast cancer therapy and reduce inappropriate prescriptions using individual immunohistochemical tumor characteristics, as well as to develop prognostic scales to ensure a tailored approach to adjuvant systemic treatment in breast cancer patients. Materials and methods. We conducted a comprehensive study that included collection of literature data on clinical, pathomorphological, prognostic, and predictive factors of breast cancer, as well as a retrospective cohort study using the data from the cancer registry. We also performed histological and immunohistochemical examination of tumor tissue samples from breast cancer patients (for the retrospective cohort study) and statistical data analysis. A total of 1,216 patients with T1–2N0M0 breast cancer were included in this study. Histological and immunohistochemical examinations of tissue samples (paraffin blocks) were conducted in the laboratory of N. N. Petrov National Medical Research Center of Oncology. We stained slides for both routinely used markers (including estrogen receptors, progesterone receptors, HER2, and Ki-67) and other markers (CK14, FOXA1, FOXP3, PD-L1, P53, SMA, androgen receptors, E-cadherin, CD4, CD8, CK5 / 6, EGFR).We analyzed risk factors for lethal outcomes in patients from this group to develop prognostic scales and compared their results. Results. We evaluated the most clinically and statistically significant factors affecting mortality. Using logistic regression, we chose 10 factors that had the greatest impact on the outcomes and then produced several scales, includinga 10-point regression scale (based on 10 most significant factors identified). Survival analysis in high-risk and low-risk patients using the regression scale demonstrated significant differences between these groups (р <0.00001). The assessment of adjuvant chemotherapy efficacy in the combined group of intermediate- and high-risk patients (as estimated by the regression model) showed that intermediate- and high-risk patients receiving adjuvant chemotherapy had significant differences in their survival (р = 0.0057). The regression scale for 10-year prognosis demonstrated sufficient sensitivity (58.05 %), specificity (69.47 %) and ef fectiveness (63.76 %). Conclusion. Our regression prognostic scale includes markers with a high prognostic value. The multifactorial approach used in the developed regression scale for breast cancer 10-year prognosis increases its accuracy and reliability.
1D Seismic Velocity Models for West-Central and Western Montana
Authors: Duzet Courtenay J. , Martens Hilary R. , Stickney Michael C. 
Published: June 2023

Abstract
In seismically active areas with infrequent large-magnitude earthquakes, high-quality seismic data are critical for determining accurate seismic velocity models. Here, we present a new local-scale crustal seismic velocity model in west-central Montana as well as a new regional-scale crustal and upper mantle seismic velocity model for broader western Montana. These models are constrained by phase arrivals from several seismic networks, including the University of Montana Seismic Network, the Montana Regional Seismic Network, the Advanced National Seismic System, temporary deployments by the U.S. Geological Survey, and the USArray Transportable Array. We jointly invert for hypocenters and velocity structure using the VELEST software. The local seismic velocity model is the first model specific to west-central Montana, using P-wave arrivals from aftershocks of the 2017 M 5.8 Lincoln, Montana, earthquake. The local model consists of eight layers down to 30 km depth below the mean sea level and spans a region of approximately 40,​000  km2 (200 km × 200 km). The velocity of the uppermost layer in the local model is 4.80 ± 0.11 km/s, and the velocity of the lowermost layer resolved from the data is 7.00 ± 0.05 km/s. Using an expanded dataset across a broader geographical area, we develop a “regional” seismic velocity model that represents spatially averaged velocity structure across western Montana. The regional model consists of thirteen layers down to 45 km depth below the sea level and is appropriate to an area of 160,​000  km2 (400 km × 400 km). The velocity of the uppermost layer is 4.30 ± 0.15 km/s, and the velocity of the lowermost layer is 8.00 ± 0.04 km/s. The new models are similar to prior velocity models for western Montana, but feature improved vertical resolution of layer velocities.
Global Characteristics of Observable Foreshocks for Large Earthquakes
Authors: Wetzler Nadav , Lay Thorne , Brodsky Emily E. 
Published: June 2023

AbstractForeshocks are the only currently widely identified precursory seismic behavior, yet their utility and even identifiability are problematic, in part because of extreme variation in behavior. Here, we establish some global trends that help identify the expected frequency of foreshocks as well the type of earthquake most prone to foreshocks. We establish these tendencies using the global earthquake catalog of the U.S. Geological Survey National Earthquake Information Center with a completeness level of magnitude 5 and mainshocks with Mw≥7.0. Foreshocks are identified using three clustering algorithms to address the challenge of distinguishing foreshocks from background activity. The methods give a range of 15%–43% of large mainshocks having at least one foreshock but a narrower range of 13%–26% having at least one foreshock with magnitude within two units of the mainshock magnitude. These observed global foreshock rates are similar to regional values for a completeness level of magnitude 3 using the same detection conditions. The foreshock sequences have distinctive characteristics with the global composite population b-values being lower for foreshocks than for aftershocks, an attribute that is also manifested in synthetic catalogs computed by epidemic-type aftershock sequences, which intrinsically involves only cascading processes. Focal mechanism similarity of foreshocks relative to mainshocks is more pronounced than for aftershocks. Despite these distinguishing characteristics of foreshock sequences, the conditions that promote high foreshock productivity are similar to those that promote high aftershock productivity. For instance, a modestly higher percentage of interplate mainshocks have foreshocks than intraplate mainshocks, and reverse faulting events slightly more commonly have foreshocks than normal or strike-slip-faulting mainshocks. The western circum-Pacific is prone to having slightly more foreshock activity than the eastern circum-Pacific.
Impact Analysis of Road Infrastructure and Traffic Control on Injury Severity of Single- and Multi-vehicle Crashes
Authors: Tanishita Masayoshi , Sekiguchi Yuta 
Published: June 2023

Single and multi-vehicle crashes are a significant issue that causes economic and social costs and has therefore gained attention. This study explored the factors associated with injury severity for both single- and multi-vehicle crashes using over 550,000 crash data points in Japan between 2019 and 2021. We identified the determinants of road infrastructure and traffic control while controlling for driver, vehicle, environmental, and accident characteristics by applying ordered logit and bias-reduced binomial regression models. Our findings are as follows. 1) Traffic control variables did not affect single-vehicle crashes. 2) Guardrails had a higher severity in both single-vehicle crashes and multi-vehicle crashes at intersections. 3) The impact of the centerline differed between intersections and non-intersections for multi-vehicle crashes. These results of this study provide transportation agencies with important guidance as to the road infrastructure and transport control.
Echocardiography Indices in Urbanized Shor Ethnic Group Representatives With Arterial Hypertension
Authors: Sumin Alexey N , Gomozova Nina S. , Shcheglova Anna V. , Arkhipov Oleg G. 
Published: June 2023

The current echocardiography reference values are derived primarily from populations in North America and Europe. It becomes necessary to study ethnically different groups of the population, which often have different living conditions, food habits and lifestyle. The aim of the study was to compare echocardiography indicators in urbanized patients with arterial hypertension of the Shor and non-indigenous ethnic groups living in the Gornaya Shoria region.
The study included patients with arterial hypertension: 58 Shors (20 men and 38 women) and 50 non-indigenous residents (15 men and 35 women) of Gornaya Shoria. All underwent an echocardiographic study with an assessment of the left heart parameters. We assessed the left ventricular hypertrophy (LVH) severity, LV geometry and diastolic function in the ethnic and sex groups.
Shor with hypertension no showed a significant difference in left ventricular dimensions compared to Caucasian. Severe abnormal LVH was associated in the Shors with glucose levels (OR 3.24, 95%CI 1.56-6.7, p=0,001), and in Caucasians with systolic (p=0.021) and diastolic (p=0.011) blood pressure, and heart rate (p=0.033). The Shor men were more likely to have normal LV diastolic function (p=0.029) and LV concentric remodeling (p=0.023), and less often to have normal LV geometry (p=0.015) compared to non-indigenous men.
Thus, this study can be useful in assessing the impact of the development of arterial hypertension, as well as the impact of changing the lifestyle of the Shors when moving to the city from rural areas on ethnic differences in echocardiography.
A QUANTITATIVE ETHNOBOTANICAL STUDY OF COMMON HERBAL REMEDIES USED AGAINST 13 HUMAN AILMENTS CATERGORIES IN MAURITIUS
Authors: Mahomoodally Fawzi 
Published: June 2023

Background and aim: Mauritius is a tropical multicultural island with a long-standing use of herbal remedies. The present ethnobotanical survey was geared towards documenting and preserving local knowledge pertaining to common medicinal plants (MP) used as therapeutic agents in Mauritius.
Methods: Interviews were conducted among local people and herbalists (n=318). Also, 7 quantitative ethnobotanical parameters (variety of use (VU), relative frequency of citation (RFC), informant consensus factor (FIC), fidelity level (FL), index of agreement on remedies (IAR), relative importance (RI) and cultural importance index (CII)) were calculated for MP used.
Results: A total of 87 plants belonging to 45 families were reported to be used in formulating herbal remedies among which 3 endemic plants have been documented. Mentha piperita was found to be the most used plant against gastrointestinal diseases with an RFC index of 0.55. Holy basil (Ocimum tenuiflorum) had the highest RI value (RI=2.00), being cited for 9 different ailments. Therapeutic properties of some herbal remedies reported correlated to some extent with those of previous studies while others have open potential perspectives for further research as their chemistry and pharmacology have not been published.
Conclusion: From the information obtained, it can be suggested that the Mauritian population still relies heavily on MP for their primary health care. Nonetheless, further research is needed to investigate the possible active constituents that could be the basis of an evidence based investigation to discover new drugs.
A review on the applications of bayesian network in web service
Authors: Guinhouya Kouami A. 
Published: June 2023

Abstract
Web services (WS) are the preferred approach in realizing the service-oriented computing paradigm. However, this comes with challenges such as complexity and uncertainty that hinder their practical application. Bayesian networks (BNs) are one of the techniques used to address these challenges. The objective of this mapping study was to determine what is known about the use of Bayesian networks in web services research. To do this, we identified and selected rigorously 69 articles (out of the 532 identified) published on the subject in 2001-2021. We then classified and analyzed these articles by Web service themes (Service Composition, Service Management, Service Engineering), Objectives (Prediction, Description, Prescription), Types of BN (Basic, Combined, Extended), and Evaluation methods (Proof of concept, Experiment, No evaluation). In doing so, we hope to provide a clear understanding of the subject. We also identify and suggest avenues for future research. Thus, the review results can help researchers and practitioners interested by the application of BNs in WS research.
Window Processing of Wireless OFDM System in the Spectral Concentrated Interference Channel
Authors: Vanin Kirill , Ryu Heung-Gyoon 
Published: June 2023

Abstract
When there is any particular interference or jamming signal against the OFDM (orthogonal frequency division multiplexing) wireless communication system, it is badly serious problem for the communication performance even though the OFDM system is inherently robust to interference than the single carrier communication system. Therefore, it is very important to design the counter-measure to this kind of interference. So, in this paper, window processing using the weighting function is introduced to recover the information data in parallel with the spreading and error correcting method. This paper describes the wireless OFDM communication system in the strong SCI (spectral concentrated interference) channel. To make the windowing processing of OFDM Signal in the SCI channel, several weighting functions are used and analyzed in the time and frequency domain. So, window processing using the weight function in combination with nonlinear compensation method allows to increase robust against SCI and system improvement. Several window functions are proposed and compared to evaluated for the communication performances. Computer simulations show the differences in BER (bit error rate) performance in various conditions with various window functions. It can be concluded that the proposed method is pretty efficient in the SCI channel.
Exploration for cobalt/nitrogen-doped catalyst to creatinine degradation via peroxymonosulfate activation: Toxicity evaluation, statistical modeling and mechanisms study
Authors: Liu Jiadi , Dong Yawen , Kang Yu , Kong Qian , Wang Kuaibing , Mao Feifei , Bu Yuanqing , Zhou Rong , Zhang Chunyong , Wu Hua 
Published: June 2023

Abstract
Developing multifunctional catalysts applied in diversiform modes via advanced oxidation processes (AOPs) is a promising and attractive approach for organic pollutions degradation. Herein, a novel hollow bamboo-like structural cobalt/nitrogen-doped carbonized material (CoC/N) was employed as a catalyst for AOPs, in which CoC/N was prepared in situ through calcining a Co-based coordination polymer. When CoC/N was utilized as a peroxymonosulfate (PMS) activator, the catalyst standed out excellent activities for effective CA oxidation. Further, a five-level central composite rotatable design (CCRD) model describing CA decay as a function of PMS concentration, CoC/N dosage and solution pH value were successfully constructed and engaged to explore the optimal operating conditions. Meticulously, the possible degradation mechanism of CA in CoC/N-PMS system was proposed by quantum chemistry calculation and LC/MS analysis. This work shed light on the structural morphology of the catalyst and its PMS synergy degradation pathway, which promotes its applications in miscellaneous pollutants degradation.
Differences in Physicochemical properties and flavor components among different layers of medium-temperature Daqu
Authors: Liu Yanbo , Li Hanfei , Huang Runna , Li Haideng , Xu Yumin , Li Feifei , Shen Xiangkun , Han Suna , Pan Chunmei 
Published: June 2023

Abstract

Quality differences among three layers of Daqu were comprehensively studied by analyzing physicochemical indices and main enzyme system and using headspace solid-phase microextraction gas chromatography-mass spectrometry. The water content, fermentation ability and esterifying enzyme activity of Daqu among different layers all rank in the order of core > fire circle > surface, and the sulyase activity ranks as surface > fire circle > core, all showing significant differences. The acidity of Daqu surface is significantly higher and the amino acid nitrogen content is significantly lower compared with the fire circle and core. The starch content of the core is significantly higher and the cellulase activity is significantly lower compared with the surface and fire circle. The volatile flavor component analysis shows the Daqu contains 73 volatile substances, including alcohols, esters and phenols. Especially, the contents of methyl myristate, methyl hexadecanoate, ethyl hexadecanoate, caproic acid, octanoic acid, n-palmitic acid, 2,4,-(di)phenol, n-hexyl alcohol, tetramethylpyrazine, and phenylethanol are relatively high and all differ significantly among different layers of Daqu. The fire circle contains the most diverse volatile flavor components, including 39 types. Principal component analysis demonstrates that the volatile flavor components are largely different among different layers of Daqu.
Multi-scale Topology Optimization for Manufacturable Graded Lattice Structure via Neural Network Prediction Model
Authors: Wang Shihang , Zhang Junyuan , Zhou Hao , Zhang Le , Cao Kai 
Published: June 2023

Abstract
This paper presents a multi-scale topology optimization method based on neural network (MSTO-NN) for manufacturable gradient lattice structures (MGLS), which takes into account the manufacturing limitation of fine feature size. The establishment of the optimization model is firstly based on mechanics-based homogenization method to obtain the equivalent properties of lattice structure with larger cells. To balance computational efficiency and accuracy, a prediction model of the equivalent properties of lattice structures is constructed using neural networks, which replaces micro-scale finite element analysis. The sensitivity analysis of neural networks is derived and integrated into multi-scale topology optimization. To ensure the manufacturability of lattice structure, the material interpolation for MGLS based on ordered SIMP is proposed to filter the fine feature structure during optimization process. Numerical examples under 2D and 3D boundary conditions are performed to validate the proposed method. The results show that the proposed multi-scale topology optimization method can effectively realize the utilization of materials, improve the stiffness of the structure and ensure the feasibility of the manufacturing process. Moreover, the comparison of numerical examples reveals that the size of cell and fine feature size limitation have a significant impact on the structural design and performance.