bluuebunny/crossref_metadata_2025_split huggingface dataset:
PENEGAKAN HUKUM TERHADAP WANITA YANG MENJADI PEKERJA SEKS KOMERSIAL ONLINE DI WILAYAH KABUPATEN SLEMAN, DAERAH ISTIMEWA YOGYAKARTA
Authors: Moh. Andika Surya Lebang  , Paulinus Soge Paulinus Soge , G. Widiartana G. Widiartana 
Published: April 2022

Penelitian dengan judul tersebut bertujuan mengetahui dan menganalisis penegakan hukum terhadap wanita yang menjadi pekerja seks komersial online serta memperoleh data dan menganalisis faktor-faktor yang menyebabkan masih banyak ditemnukannya wanita yang menjadi pekerja seks komersial online. Penelitian ini merupakan penelitian empiris dengan pendekatan sosiologi hukum. Sumber data berupa data primer sebagai data utama dan data sekunder sebagai data pendukung. Metode pengumpulan data menggunakan wawancara dengan narasumber dan studi kepustakaan. Bahan hukum primer dan bahan hukum sekunder dianalisis dengan menggunakan metode analisis hukum. Proses berpikir induktif digunakan untuk menarik kesimpulan. Teori penegakan hukum, teori pertanggungjawaban pidana. Teori pembuktian pidana, teori kriminologi, teori psikologi hukum digunakan sebagai pisau analisi dalam mengkaji hasil penelitian. Hasil penelitian ini menunjukan bahwa penegakan hukum terhadap wanita yang menjadi PSKO jauh dari kata sempurna. Hal tersebut dapat terjadi karena tidak adanya bentuk koordinasi antara pihak Kepolisian Polres Sleman dengan pihak Kominfo dan masyarakat Kabupaten Sleman perihal upaya penegakan hukum, sehingga menyebabkan masih banyak PSKO yang belum berikan tindakan. Salah satu faktor yang menyebabkan wanita menjadi seorang PSKO adalah karena wanita tersebut tidak mampu untuk mengontrol kemampuan dirinya, sehingga mengakibatkan melakukan tindak kriminal. Penyebab lainnya adalah karena didorong dengan faktor kurangnya kasih sayang dari keluarga, lingkungan pergaulan yang buruk dan adanya himpitan ekonomi.
Magnetic Nano-Sized SDF-1 Particles Show Promise for Application in Stem Cell-Based Repair of Damaged Tissues
Authors: Wang Xu , Han XinXin , Qiu Yi , Sun Jianbo 
Published: April 2022

Stem cell-based therapy is a promising option for repair of injured tissue. Stem cells have homing characteristics and can be mobilized to the injury sites following activation, under the regulation of the SDF-1/CXCR4 axis. However, a sufficient level of stem cell aggregation and retention is essential for ensuring favorable repair outcomes. Problems related to stem cell delivery/recruitment efficiency and retention in the injury site are among the main challenges faced during in vivo studies on stem cell therapy. In this study, we designed an SDF-1(alpha) magnetic nanoparticle delivery system for stem cell recruitment. We expressed and purified a biotin-labeled SDF-1(alpha) protein and immobilized it on streptavidin-modified magnetic nanoparticles (MNP) through the streptavidin–biotin linkage, with an efficiency of approximately 14%. The physicochemical properties of the SDF-MNP in glycerol buffer were similar to those of the streptavidin-modified MNP. Further evidence suggested that SDF-MNP barely show cytotoxicity even at a concentration of 125 µg/ml MNP and have a promising chemotaxis effect on mesenchymal stem cells in vitro and in vivo. Our study provides a strategy for the assembly of magnetic nanoparticle carrier systems for protein factors, as well as preliminary evidence for the application of SDF-MNP in stem cell-based therapy for the regeneration of injured bone tissue.
Improving Thermostability and Catalytic Activity of Glycosyltransferase From Panax ginseng by Semi-Rational Design for Rebaudioside D Synthesis
Authors: Chen Meiqi , Song Fangwei , Qin Yuxi , Han Shuangyan , Rao Yijian , Liang Shuli , Lin Ying 
Published: April 2022

As a natural sweetener and sucrose substitute, the biosynthesis and application of steviol glycosides containing the component rebaudioside D have attracted worldwide attention. Here, a glycosyltransferase PgUGT from Panax ginseng was first reported for the biosynthesis of rebaudioside D. With the three-dimensional structures built by homology modeling and deep-learning–based modeling, PgUGT was semi-rationally designed by FireProt. After detecting 16 site-directed variants, eight of them were combined in a mutant Mut8 with both improved enzyme activity and thermostability. The enzyme activity of Mut8 was 3.2-fold higher than that of the wild type, with an increased optimum reaction temperature from 35 to 40°C. The activity of this mutant remained over 93% when incubated at 35°C for 2 h, which was 2.42 times higher than that of the wild type. Meanwhile, when the enzymes were incubated at 40°C, where the wild type was completely inactivated after 1 h, the residual activity of Mut8 retained 59.0% after 2 h. This study would provide a novel glycosyltransferase with great potential for the industrial production of rebaudioside D and other steviol glycosides.
Effect of Baseline Impedance in Radiofrequency Delivery on Lesion Characteristics and the Relationship Between Impedance and Steam Pops
Authors: Qu Lijuan , Guo Min , Sun Meng , Wang Rui , Zhang Nan , Li Xin 
Published: April 2022

ObjectiveTo explore the effects of baseline impedance (R) and power (P) on radiofrequency ablation (RFA) lesion characteristics and their correlation with steam pops using ThermoCool SmartTouch-SF (STSF) catheters in the porcine heart.MethodA porcine left ventricle was submerged in 37°C saline ex vivo, and the experiment was performed with various P (P = 30, 40, 50, and 60 W) and multiple R loads (R = 80–100, 100–140, 140–180, and 180–220 Ω) to reach the target ablation index (AI; AI = 350, 450, and 500) or reach the target ablation time using a fixed contact force (CF; CF = 10–15 g) and the same saline irrigation (30 W/8 ml/min or 40–60 W/15 ml/min), repeated five times under each condition.ResultsThe surface diameter, maximum diameter, depth, and volume of the lesions were strongly correlated with the AI (P = 40 W, R = 100–140 Ω, CF = 10–15 g) (r = 0.5412; r = 0.7889; r = 0.9366; and r = 0.913, respectively; all p &lt; 0.05). As the value of R increased, the maximum diameter, depth, and volume of the lesions significantly increased (AI = 350, P = 30 W). Moreover, the higher the baseline value of R, the greater the absolute value of the R decrease (r = 0.9035, p &lt; 0.05, Y = 0.2759 × X – 18.33). Under high power and high impedance, the occurrence rate of steam pops was high (P = 60 W, R = 180–220 Ω, AI when a steam pop occurred: 480 ± 26.5, ablation time: 11.29 ± 1.04 s).ConclusionRadiofrequency catheter ablation (RFCA) in power-controlled mode resulted in various lesion characteristics that were related to diverse baseline Rs. In addition, the incidence of steam pops was strongly correlated with high baseline R and high P.
Case Report: Transient Increase of CMR T1 Mapping Indices in a Patient With COVID-19 mRNA Vaccine Induced Acute Myocarditis
Authors: Ansari Uzair , Britsch Simone , Rogowski Sebastian , Duerschmied Daniel , Papavassiliu Theano 
Published: April 2022

BackgroundAcute myocarditis is commonly associated with viral infections, including severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2). Myocarditis following mRNA COVID-19 vaccination has also been reported, however this is rare and usually resolves within days or weeks. We present a case of acute myocarditis reported after vaccination with mRNA-1273 COVID-19 vaccine (Moderna) diagnosed using cardiac magnetic resonance imaging (CMR). This report describes the utility of CMR in the diagnosis and follow-up of such patients using parameters which could suggest the clinical course of myocarditis.Case SummaryA 23-year-old male presented in the emergency department with complaints of chest pain radiating to the left arm following vaccination with the second dose of COVID-19 mRNA-1273 vaccine (Moderna). Patient's history revealed an incidence of myocarditis in the past. CMR showed a mid-range left ventricular ejection fraction (38%) and subepicardial late gadolinium enhancement (LGE) in the inferolateral and apical myocardial segments with diffuse elevation of native T1 mapping relaxation times in all myocardial segments. The patient was admitted briefly in the intensive care unit and after a favorable clinical course was discharged from the hospital in stable condition. A follow-up CMR after 3 months revealed normalization of LVEF (57%) and native T1- times in most segments. Scarred myocardium reflecting chronic myocarditis continued to show elevated T1 times.ConclusionsOur patient presenting with acute myocarditis after recent COVID-19 mRNA vaccination reported a favorable clinical course. CMR revealed increased T1 mapping relaxation times diffusely spread across the myocardium and an impairment of the left ventricular function (LVEF) during the acute phase. However, the LVEF as well as the T1 times normalized at follow-up in all segments except for myocardium affected by chronic myocarditis.
Nomogram for Predicting In-hospital Mortality in Infective Endocarditis Based on Early Clinical Features and Treatment Options
Authors: Yu Zhao-Jun , Dou Zhi , Li Jing , Ni Zhi-Jie , Weng Guo-Xing 
Published: April 2022

AimThe aim of this study was to develop a nomogram based on early clinical features and treatment options for predicting in-hospital mortality in infective endocarditis (IE).MethodsWe retrospectively analyzed the data of 294 patients diagnosed with IE in our hospital from June 01, 2012 to November 24, 2021, determined independent risk factors for in-hospital mortality by univariate and multivariate logistic regression analysis, and established a Nomogram prediction model based on these factors. Finally, the prediction performance of nomogram is evaluated by C-index, bootstrapped-concordance index, and calibration plots.ResultsAge, abnormal leukocyte count, left-sided IE, right-sided IE, and no surgical treatment were independent risk factors for in-hospital mortality in patients with IE, and we used these independent risk factors to construct a nomogram prediction model to predict in-hospital mortality in IE. The C-index of the model was 0.878 (95% CI: 0.824–0.931), and the internal validation of the model by bootstrap validation method showed a prediction accuracy of 0.852 and a bootstrapped-concordance index of 0.53.ConclusionOur nomogram can accurately predict in-hospital mortality in IE patients and can be used for early identification of high-risk IE patients.
A Fast Quality Control of 0.5 Hz Temperature Data in China
Authors: Liao Rongwei , Zhao Ping , Liu Huaiyu , Fang Xiaoyi , Yu Fei , Cao Yujing , Zhang Dongbin , Song Lili 
Published: April 2022

Fast quality control (FQC) is important to deal with high-frequency observation records at meteorological station networks in time, and may check whether the records fall within a range of acceptable values. Threshold tests in the previous quality control methods for monthly, daily, or hourly observation data do not work well for 0.5 Hz data at a single station. In this study, we develop an algorithm for the automatic determination of maximum and minimum minute thresholds for 0.5 Hz temperature data in the data collection phase of the newly built stations. The fast threshold test based on the percentile threshold (0.1–99.9%) and standard deviation scheme is able to efficiently identify the incorrect data in the current minute. A visual graph is generated every minute, and the time series of the data records and the thresholds are displayed by the automated graphical procedures. The observations falling outside the thresholds are flagged and then a manual check is performed. This algorithm has the higher efficiency and lower computational requirement in identifying out the obvious outliers of 0.5 Hz data in real or near-real time observation. Meanwhile, this algorithm can also find problems in observation instruments. This method is applied to the quality control of 0.5 Hz data at two Tianjin experiment stations and hourly data at one Shenyang experiment station. The results show that this fast threshold test may be a viable option in the data collection phase. The advantage of this method is that the computation requires less memory and the computational burden is reduced for real or near-real time observations, so it may be extended to test other meteorological variables measured by high-frequency measurement systems.
Sedimentary CaCO3 Accumulation in the Deep West Pacific Ocean
Authors: Zhang Handan , Che Hong , Xia Jinqi , Cheng Qi , Qi Di , Cao Junqian , Luo Yiming 
Published: April 2022

Distribution of calcium carbonate (CaCO3) in marine sediment has been studied over the last century, and influence by multiple factors with regard to dissolution and dilution of sedimentary CaCO3 has long been established. There is still lack of quantification on the influence of those factors, so it remains elusive to determine which specific process is driving the down-core variation of CaCO3 content (wtCaCO3%) records. Here, based on a newly compiled CaCO3 data set and a carbonate model, depth-profiles of sedimentary wtCaCO3% from the West Pacific Ocean can be well illustrated, and influence from different factors on their distribution features can be quantified. The deep ocean circulation is found to largely shape the inter-basin disparity in sedimentary wtCaCO3% distribution between the equatorial regions (e.g., the Western Equatorial Pacific Ocean and the Central Pacific Ocean) and the north–west regions (the Philippine Sea and the Northwest Pacific Ocean) in our study region. Moreover, the slow carbonate dissolution rate in the deep Central Pacific Ocean guarantees better accumulation of CaCO3 at depth compared to that in other regions. However, enhanced dilution by non-carbonate materials of sedimentary CaCO3 on a topographic complex can potentially obstruct the dissolution profiles constituted by sedimentary wtCaCO3% in the pelagic ocean. The aforementioned assertion suggests that changes of wtCaCO3% accumulation in marine sediment in the West Pacific Ocean can be used to dictate past changes of the deep ocean circulation (2,500 to 3,000 m) in this area but constraint on the non-carbonate flux, especially on the topographic complex, should be necessary.
Quantifying Iron Oxide Mineral Contents in Miocene Oceanic Red Beds for the Deep-Sea Oxidation Evolution in the South China Sea
Authors: Lyu Xuan , Liu Zhifei , Wu Qiong , Colin Christophe , Yu Xun , Liu Chuanlian , Li Qianyu 
Published: April 2022

The International Ocean Discovery Program (IODP) Expedition 349 recovered Miocene oceanic red beds overlying the basaltic basement in the South China Sea. The occurrence of oceanic red beds provides an opportunity to understand the deep-sea redox conditions when the South China Sea was open to the western Pacific during the Miocene. Here, we investigated iron oxide mineral contents along with major element compositions of the oceanic red beds at Site U1433 to reveal the Miocene deep-sea oxidation environment of the South China Sea and its interaction with the western Pacific. The results show that these samples contain 0.20–1.48% hematite (average 0.50%) and 0.30–2.98% goethite (average 1.20%). Their contents have good linear correlations with color reflectance a* (red) and b* (yellow), respectively, implying that the reddish-brown color of the Miocene oceanic red beds resulted from a mixture of hematite and goethite. Compared to other oceanic red beds worldwide, the occurrence of hematite and goethite in the South China Sea is considered to form under an oxic bottom water environment with an extremely low sedimentation rate. The (hematite + goethite)/(100%—Al2O3) ratio is adopted to reconstruct the evolution of bottom water oxidation during the Early–Middle Miocene. A continuously decreased oxidation trend from 18.4 to 11.6 Ma, along with two strengthened oxidation events occurring at around 15 Ma and 14 Ma, is observed to dominate the environment evolution of the abyssal South China Sea. We infer that this long-term decreased oxidation trend was caused by the gradual blocking of oxygen-rich bottom water from the western Pacific since the Early Miocene, while the two oxidation events were likely attributed to the rapid thermal subsidence of the South China Sea and the global cooling during the Middle Miocene climate transition, respectively.
Deformation and Failure Characteristics and Control Technology of Surrounding Rocks in Deep High-Horizontal Stress Rock Roadways in the Wanbei Mining Area
Authors: Chen Denghong , Yuan Yongqiang , Ma Li 
Published: April 2022

Taking the engineering conditions of the Zhujixi coal mine and Hengyuan coal mine in the Wanbei mining area as the background, based on the investigation of the deformation and failure status of the surrounding rock of the two mines, the deformation and failure characteristics of the surrounding rock of the deep rock roadway in the Wanbei mining area are systematically studied by using the comprehensive research methods of the surrounding rock mechanical parameter test, in situ stress measurements, and numerical simulation. The results show that the measured value of the intermediate principal stress is slightly less than the theoretical value, which is obviously affected by the tectonic stress. The lateral pressure coefficients of the two mines calculated according to the theory are between 1.06 and 1.24 and 1.18 and 1.24, respectively. The simulation shows that when the lateral pressure is higher than 1.5, the arrangement of drilling holes with a depth of 5–10 m and a diameter of 200–300 mm can effectively transfer the stress concentration, proposed using Ф22 L = 2800 mm anchor rods, row spacing 800 × 800 mm, specification Ф 22. For the anchor cable with a length of L = 6,300 mm, the row spacing between anchor cables is 1,600 ± 100 mm, and the coordinated support technology of the reinforcement support and grouting is added. The technology can fully mobilize the deep stable rock stratum when it is applied from the slope change point of 11 coal belt roadways in the east wing of the Zhujixi coal mine to the machine head chamber of 11 coal belt roadways in the west wing, and the field application is good.
The Use of Language in Solving Inverse Algebraic Functions Problems
Authors: Méndez-Balbuena Ignacio , Hermosillo-Abundis Ana Cristina , Ruge Diane , Trenado Carlos , Lemuz-López Rafael , López-Cortés Vicente Arturo , Bonilla-Sánchez María del Rosario , Pelayo-González Héctor Juan , García-Flores Marco Antonio 
Published: April 2022

ObjectiveThe aim of the present work was to investigate the use of verbal language applied to the solution of inverse function problems in comparison to the algebraic method in students of humanities.MethodsWe consider only algebraic functions in our study. Three precalculus problems were chosen and two solution methods used. A total of 120 students participated in this study, half of them used the verbal method and the other half the algebraic method.ResultsTo determine if there was a relationship between the utilized method and the effectiveness of the solution, that is the number of exercises solved correctly related to the type of method used, we used Pearson’s chi-square test. We found a significant association between the type of method and the success of the solution χ2 (1) = 10.84, p &lt; 0.001. Regarding the effect size, we found that the probability to get a correct solution was 3.75 times higher when solved with the verbal method in comparison to the algebraic method.DiscussionWe suggest that such efficacy in solving inverse function problems was due to the self-regulation of participant’s language. In this sense, it is necessary to investigate the effects of such self-regulation by means of our experimental paradigm in a future study.ConclusionThe results of the present study showed that verbal language applied to the solution of inverse function problems is highly effective when compared to the algebraic method.
Anticancer Peptide Prediction via Multi-Kernel CNN and Attention Model
Authors: Wu Xiujin , Zeng Wenhua , Lin Fan , Xu Peng , Li Xinzhu 
Published: April 2022

Background: Modern lifestyles mean that people are more likely to suffer from some form of cancer. As anticancer peptides can effectively kill cancer cells and play an important role in fighting cancer, they have been a subject of increasing research interest.Methods: This study presents a useful tool to identify the anticancer peptides based on a multi-kernel CNN and attention model, called ACP-MCAM. This model can automatically learn adaptive embedding and the context sequence features of ACP. In addition, to obtain better interpretability and integrity, we visualized the model.Results: Benchmarking comparison shows that ACP-MCAM significantly outperforms several state-of-the-art models. Different encoding schemes have different impacts on the performance of the model. We also studied tmethod parameter optimization.Conclusion: The ACP-MCAM can integrate multi-kernel CNN and self-attention mechanism, which outperforms the previous model in identifying anticancer peptides. It is expected that the work will provide new research ideas for anticancer peptide prediction in the future. In addition, this work will promote the development of the interdisciplinary field of artificial intelligence and biomedicine.
Underlying Co-Morbidity Reveals Unique Immune Signatures in Type II Diabetes Patients Infected With SARS-CoV2
Authors: Sengupta Soumya , Bhattacharya Gargee , Chatterjee Sanchari , Datey Ankita , Shaw Shubham K. , Suranjika Sandhya , Nath Paritosh , Barik Prakash K. , Prasad Punit , Chattopadhyay Soma , Swain Rajeeb K. , Parida Ajay , Devadas Satish 
Published: April 2022

BackgroundSARS-CoV2 infection in patients with comorbidities, particularly T2DM, has been a major challenge globally and has been shown to be associated with high morbidity and mortality. Here, we did whole blood immunophenotyping along with plasma cytokine, chemokine, antibody isotyping, and viral load from oropharyngeal swab to understand the immune pathology in the T2DM patients infected with SARS-CoV2.MethodsBlood samples from 25 Covid-19 positive patients having T2DM, 10 Covid-19 positive patients not having T2DM, and 10 Covid-19 negative, non-diabetic healthy controls were assessed for various immune cells by analyzing for their signature surface proteins in mass cytometry. Circulating cytokines, chemokines, and antibody isotypes were determined from plasma while viral copy number was determined from oropharyngeal swabs. All our representative data corroborated with laboratory findings.ResultsOur observations encompass T2DM patients having elevated levels of both type I and type II cytokines and higher levels of circulating IgA, IgM, IgG1, and IgG2 as compared to NDM and healthy volunteers. They also displayed higher percentages of granulocytes, mDCs, plasmablasts, Th2-like cells, CD4+ EM cells, and CD8+ TE cells as compared to healthy volunteers. T2DM patients also displayed lower percentages of pDCs, lymphocytes, CD8+ TE cells, CD4+, and CD8+ EM.ConclusionOur study demonstrated that patients with T2DM displayed higher inflammatory markers and a dysregulated anti-viral and anti-inflammatory response when compared to NDM and healthy controls and the dysregulated immune response may be attributed to meta inflammation.