bluuebunny/crossref_metadata_2025_split huggingface dataset:
Globally distributed mining-impacted environments are underexplored hotspots of multidrug resistance genes
Authors: Yi Xinzhu , Liang Jie-Liang , Su Jian-Qiang , Jia Pu , Lu Jing-li , Zheng Jin , Wang Zhang , Feng Shi-wei , Luo Zhen-hao , Ai Hong-xia , Liao Bin , Shu Wen-sheng , Li Jin-tian , Zhu Yong-Guan 
Published: June 2022

Abstract
Mining is among the human activities with widest environmental impacts, and mining-impacted environments are characterized by high levels of metals that can co-select for antibiotic resistance genes (ARGs) in microorganisms. However, ARGs in mining-impacted environments are still poorly understood. Here, we conducted a comprehensive study of ARGs in such environments worldwide, taking advantage of 272 metagenomes generated from a global-scale data collection and two national sampling efforts in China. The average total abundance of the ARGs in globally distributed studied mine sites was 1572 times per gigabase, being rivaling that of urban sewage but much higher than that of freshwater sediments. Multidrug resistance genes accounted for 40% of the total ARG abundance, tended to co-occur with multimetal resistance genes, and were highly mobile (e.g. on average 16% occurring on plasmids). Among the 1848 high-quality metagenome-assembled genomes (MAGs), 85% carried at least one multidrug resistance gene plus one multimetal resistance gene. These high-quality ARG-carrying MAGs considerably expanded the phylogenetic diversity of ARG hosts, providing the first representatives of ARG-carrying MAGs for the Archaea domain and three bacterial phyla. Moreover, 54 high-quality ARG-carrying MAGs were identified as potential pathogens. Our findings suggest that mining-impacted environments worldwide are underexplored hotspots of multidrug resistance genes.
Excellence in dental research: nominated scholars for the Nobel Prize 1901-1950 with a focus on Lady May Mellanby (1882-1978) and Walter Hess (1885-1980)
Authors: Hense Lena , Hugger Alfons , Hansson Nils 
Published: June 2022

AbstractWhy has no dentist received the Nobel Prize so far? To answer that question, we need to take a closer look at the prize candidates. This article presents an overview of scholars in the field of dental research who were nominated for the Nobel Prize in Physiology or Medicine during the first half of the twentieth century. Drawing on archival sources in the archive of the Nobel Committee, we focus on the physiologist, Lady May Mellanby (1882-1978) and the dentist, Walter Hess (1885-1980). While Hess did not reach the shortlist, Mellanby was judged 'prize-worthy' by the Nobel Committee for Physiology or Medicine but she never received the award in the end. In this paper, we discuss the impact of their work among dentists.
The dental demolition derby: bruxism and its impact - part 3: repair and reconstruction
Authors: Thayer Mark. L. T. , Ali Rahat 
Published: June 2022

AbstractBruxism is a term that encompasses a range of presentations of rhythmic and repetitive muscular activity. For many, this is not a significant problem but for some, this behaviour leads to substantial impact and tissue damage that can be significant, compromising function and quality of life. This paper will review management methods for reconstructing the damaged dentition.
An energy-aware and Q-learning-based area coverage for oil pipeline monitoring systems using sensors and Internet of Things
Authors: Rahmani Amir Masoud , Ali Saqib , Malik Mazhar Hussain , Yousefpoor Efat , Yousefpoor Mohammad Sadegh , Mousavi Amir , khan Faheem , Hosseinzadeh Mehdi 
Published: June 2022

AbstractPipelines are the safest tools for transporting oil and gas. However, the environmental effects and sabotage of hostile people cause corrosion and decay of pipelines, which bring financial and environmental damages. Today, new technologies such as the Internet of Things (IoT) and wireless sensor networks (WSNs) can provide solutions to monitor and timely detect corrosion of oil pipelines. Coverage is a fundamental challenge in pipeline monitoring systems to timely detect and resolve oil leakage and pipeline corrosion. To ensure appropriate coverage on pipeline monitoring systems, one solution is to design a scheduling mechanism for nodes to reduce energy consumption. In this paper, we propose a reinforcement learning-based area coverage technique called CoWSN to intelligently monitor oil and gas pipelines. In CoWSN, the sensing range of each sensor node is converted to a digital matrix to estimate the overlap of this node with other neighboring nodes. Then, a Q-learning-based scheduling mechanism is designed to determine the activity time of sensor nodes based on their overlapping, energy, and distance to the base station. Finally, CoWSN can predict the death time of sensor nodes and replace them at the right time. This work does not allow to be disrupted the data transmission process between sensor nodes and BS. CoWSN is simulated using NS2. Then, our scheme is compared with three area coverage schemes, including the scheme of Rahmani et al., CCM-RL, and CCA according to several parameters, including the average number of active sensor nodes, coverage rate, energy consumption, and network lifetime. The simulation results show that CoWSN has a better performance than other methods.
The complete chloroplast genome of critically endangered Chimonobambusa hirtinoda (Poaceae: Chimonobambusa) and phylogenetic analysis
Authors: Liu Yanjiang , Zhu Xiao , Wu Mingli , Xu Xue , Dai Zhaoxia , Gou Guangqian 
Published: June 2022

AbstractChimonobambusa hirtinoda, a threatened species, is only naturally distributed in Doupeng Mountain, Duyun, Guizhou, China. Next-generation sequencing (NGS) is used to obtain the complete chloroplast (cp) genome sequence of C. hirtinoda. The sequence was assembled and analyzed for phylogenetic and evolutionary studies. Additionally, we compared the cp genome of C. hirtinoda with previously published Chimonobambusa species. The cp genome of C. hirtinoda has a total length of 139, 561 bp and 38.90% GC content. This genome included a large single -copy (LSC) region of 83, 166 bp, a small single-copy (SSC) region of 20, 811 bp and a pair of inverted repeats of 21,792 bp each. We discovered 130 genes in the cp genome, including 85 protein-coding genes, 37 tRNA, and 8 rRNA genes. A total of 48 simple sequence repeats (SSRs) were detected. The A/U preference of the third nucleotide in the cp genome of C. hirtinoda was obtained by measuring the codon usage frequency of amino acids. Furthermore, phylogenetic analysis using complete cp sequences and matK gene revealed a genetic relationship within the Chimonobambusa genus. This study reported the chloroplast genome of the C. hirtinoda.
An analysis of the accuracy of COVID-19 country transmission classification
Authors: Deza-Cruz I. , Prada J. M. , Del Rio Vilas V. 
Published: June 2022

AbstractAccurate epidemiological classification guidelines are essential to ensure implementation of adequate public health and social measures. Here, we investigate two frameworks, published in March 2020 and November 2020 by the World Health Organization (WHO) to categorise transmission risks of COVID-19 infection, and assess how well the countries’ self-reported classification tracked their underlying epidemiological situation. We used three modelling approaches: an ordinal longitudinal model, a proportional odds model and a machine learning One-Rule classification algorithm. We applied these models to 202 countries’ daily transmission classification and epidemiological data, and study classification accuracy over time for the period April 2020 to June 2021, when WHO stopped publishing country classifications. Overall, the first published WHO classification, purely qualitative, lacked accuracy. The incidence rate within the previous 14 days was the best predictor with an average accuracy throughout the period of study of 61.5%. However, when each week was assessed independently, the models returned predictive accuracies above 50% only in the first weeks of April 2020. In contrast, the second classification, quantitative in nature, increased significantly the accuracy of transmission labels, with values as high as 94%.
Detection of pesticide residues and risk assessment from the local fruits and vegetables in Incheon, Korea
Authors: Park Byung Kyu , Kwon Sung Hee , Yeom Mi Sook , Joo Kwang Sig , Heo Myung Je 
Published: June 2022

AbstractThis study was conducted to investigate the pesticide residue concentrations and assess potential human health risks from fruit and vegetable consumption in Incheon. A total of 1,146 samples of 20 different types of fruits and vegetables were collected from the Incheon area in 2020. The pesticide residues were analyzed by the multi-residue method of the Korean Food Code for 400 different pesticides. Among the fruit and vegetable samples, 1,055 samples (92.1%) were free from detectable residues, while 91 samples (7.9%) contained residues and 11 samples (1.0%) had residues exceeding the Korean maximum residue limit. A total of 32 different pesticide residues were found and 8 residues exceeded MRLs. The most frequently detected pesticide residues were chlorfenapyr, procymidone, etofenprox, pendimethalin, fluopyram and azoxystrobin. The highest values of short term and long term exposure were obtained in the case of consumption of lettuce(leaves) with chlorfenpyr. For chronic dietary exposure, the cumulative hazard index (cHI) were below 100%. The results of this study showed that the detected pesticides were not exposed to potential health risks through the consumption of fruits and vegetables.
Development of a reliable empirical correlation to calculate hydrogen solubility in seventeen alcoholic media
Authors: Hosseini Saleh 
Published: June 2022

AbstractThis study uses the differential evolution optimization algorithm to adjust the coefficient of Arrhenius-shape correlation for calculating hydrogen (H2) solubility in alcohol-based media. The pre-exponential and exponential parts of this correlation are the functions of pressure and absolute temperature, respectively. Since this model has been validated using seventeen alcohol/hydrogen binary mixtures, it is the most generalized correlation in this regard. The proposed Arrhenius-shape correlation predicts 285 laboratory solubility measurements with the absolute average relative deviation (AARD%) of 3.28% and regression coefficient (R2) of 0.99589. The accuracy of the developed model has also been compared with two empirical correlations and three equations of state suggested in the literature. The Arrhenius-shape model has 15% and 50% smaller AARD than the most accurate empirical correlation and equation of state, respectively. Simulation findings demonstrate that all alcohol/hydrogen mixtures thermodynamically behave based on Henry’s law. Hydrogen solubility in alcohols increases by increasing either pressure or temperature. 1-octanol has the maximum ability to absorb the H2 molecules.
Probabilistic prediction of increased intracranial pressure in patients with severe traumatic brain injury
Authors: Wijayatunga Priyantha , Koskinen Lars-Owe D. , Sundström Nina 
Published: June 2022

AbstractTraumatic brain injury (TBI) causes alteration in brain functions. Generally, at intensive care units (ICU), intracranial pressure (ICP) is monitored and treated to avoid increases in ICP with associated poor clinical outcome. The aim was to develop a model which could predict future ICP levels of individual patients in the ICU, to warn treating clinicians before secondary injuries occur. A simple and explainable, probabilistic Markov model was developed for the prediction task ICP ≥ 20 mmHg. Predictions were made for 10-min intervals during 60 min, based on preceding hour of ICP. A prediction enhancement method was developed to compensate for data imbalance. The model was evaluated on 29 patients with severe TBI. With random data selection from all patients (80/20% training/testing) the specificity of the model was high (0.94–0.95) and the sensitivity good to high (0.73–0.87). Performance was similar (0.90–0.95 and 0.73–0.89 respectively) when the leave-one-out cross-validation was applied. The new model could predict increased levels of ICP in a reliable manner and the enhancement method further improved the predictions. Further advantages are the straightforward expandability of the model, enabling inclusion of other time series data and/or static parameters. Next step is evaluation on more patients and inclusion of parameters other than ICP.
Microstructure analysis, tribological correlation properties and strengthening mechanism of graphene reinforced aluminum matrix composites
Authors: Wang Fei , Liu Heping , Liu Zesheng , Guo Zhiming , Sun Fenger 
Published: June 2022

AbstractIn this paper, graphene reinforced aluminum matrix composites are successfully prepared by high-energy ball milling. The results show that no graphene agglomeration is found in the mixed powder. The complex composites prepared by high energy ball milling and powder metallurgy have approximately 4–5 layers of graphene and the thickness of single-layer graphene is approximately 0.334 nm. The final experimental results confirm the formation of compound AlC3 in the microstructure, and its diffraction spot index is ($$\overline{2 }$$

2
¯

00), ($$\overline{1 }$$

1
¯

1$$\overline{1 }$$

1
¯

) and (11$$\overline{1 }$$

1
¯

). The maximum friction coefficient is 0.126, and the average friction coefficient is 0.027, suggesting good wear resistance and corrosion resistance. Additionally, the friction corrosion mechanism of the material is deeply analyzed. The results of strengthening mechanism analysis show that the main strengthening mechanism of the materials designed in this experiment is thermal mismatch strengthening. It can be concluded that the yield strength of the material calculated by the modified model is 227.75 MPa. This value is slightly lower than the calculated value of the general shear lag model (237.68 MPa). However, it is closer to the yield strength value of the actual material (211 MPa).
A normal pattern of mitral inflow predicts a better prognosis following cardiovascular events in early advanced-age patients
Authors: Watanabe Tomoyuki , Iwai-Takano Masumi , Saitoh Hiromi , Kanazawa Kohko , Igarashi Takashi , Fujimiya Tsuyoshi , Ohira Tetsuya 
Published: June 2022

AbstractAlthough a mitral inflow pattern usually changes from a normal pattern to an abnormal relaxation pattern as part of the aging process in healthy people, some early advanced-age individuals maintain a normal pattern. We investigated whether a normal pattern of mitral inflow predicts a better prognosis following cardiovascular (CV) events in early advanced-age patients. We enrolled 425 patients aged 60–65 years with 0.6 < E/A < 1.5. Patients were divided according to their mitral inflow pattern, i.e., a normal pattern group (E/A ≥ 1.0, n = 77) and an abnormal relaxation pattern group (E/A < 1, n = 348), and were evaluated the relationship with CV events. Multivariate regression analysis found that the normal inflow pattern was associated with odds ratios of 0.859 for body mass index (BMI; 95% confidence interval [CI]: 0.778–0.937), 0.529 for hypertension (0.303–0.924), and 0.325 for heart rate (0.228–0.463). During the follow-up period (4.9 ± 1.8 years), the adjusted-hazard ratio was significantly lower in the normal pattern group (HR: 0.119, 95% CI 0.016–0.910). Kaplan–Meier curves showed a higher event-free rate for the normal pattern group than for the abnormal relaxation pattern group (p = 0.0292). Normal inflow pattern in early advanced-age patients predicts a better prognosis following CV events.
Inhibition of myeloid-derived suppressive cell function with all-trans retinoic acid enhanced anti-PD-L1 efficacy in cervical cancer
Authors: Liang Yun , Wang Wenshan , Zhu Xiaojun , Yu Minghua , Zhou Caiyun 
Published: June 2022

AbstractPD-1/PD-L1 inhibitor treatments are relatively inefficacious in advanced cervical cancer patients. The presence of myeloid-derived suppressor cells (MDSCs) in the tumor microenvironment may be one significant barrier to efficacy. It has been shown that all-trans retinoic acid (ATRA) can differentiate MDSCs into mature myeloid cells. However, whether ATRA suppression of MDSCs function could enhance PD-L1 blockade-mediated tumor immunotherapy remains unknown. Here, the frequency of tumor-infiltrating MDSCs in cervical cancer patients was measured. ATRA was used to target MDSCs both in vitro and in tumor-bearing mice. The impact of ATRA on the human cell line HeLa was also investigated. The frequency of MDSCs and T cells was determined by flow cytometry. The expression of immunosuppressive genes was measured with quantitative real time-PCR and infiltration of immune cells was assessed by immunohistochemical examination. We found that tumor-infiltrating PD-L1+ MDSCs were more prevalent in cervical cancer patients. Blockade of PD-L1 expression in MDSCs with anti-PD-L1 antibody cannot relieve the suppressive activity of MDSCs induced by HeLa cells, while ATRA efficiently abrogated the suppressive activity of MDSCs. Furthermore, ATRA had no effect on PD-L1 expression in HeLa cells in vitro. In in vivo treatment, ATRA decreased MDSCs accumulation and increased the frequency of CD8+ T cells in BALB/C mice with U14 cervical tumors. Importantly, a combination treatment of ATRA and anti-PD-L1 antibody further delayed U14 tumor growth and increased the proportion of CD62L−CD8+ T cells, CD62L−CD4+ T cells, CD107a+CD8+ T cells as well as IFN-γ and TNF-α levels in tumors. Our results provide a rationale for the use of ATRA to suppress MDSCs and enhance anti-PD-L1 cancer immunotherapy in cervical cancer.
Predictive value of computed tomography for short-term mortality in patients with acute respiratory distress syndrome: a systematic review
Authors: Hashimoto Hiroyuki , Yamamoto Shota , Nakagawa Hiroaki , Suido Yoshihiro , Sato Shintaro , Tabata Erina , Okamori Satoshi , Yoshida Takuo , Ando Koichi , Yoshitake Shigenori , Okada Yohei 
Published: June 2022

AbstractThe best available evidence and the predictive value of computed tomography (CT) findings for prognosis in patients with acute respiratory distress syndrome (ARDS) are unknown. We systematically searched three electronic databases (MEDLINE, CENTRAL, and ClinicalTrials.gov). A total of 410 patients from six observational studies were included in this systematic review. Of these, 143 patients (34.9%) died due to ARDS in short-term. As for CT grade, the CTs used ranged from 4- to 320-row. The index test included diffuse attenuations in one study, affected lung in one study, well-aerated lung region/predicted total lung capacity in one study, CT score in one study and high-resolution CT score in two studies. Considering the CT findings, pooled sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, and diagnostic odds ratio were 62% (95% confidence interval [CI] 30–88%), 76% (95% CI 57–89%), 2.58 (95% CI 2.05–2.73), 0.50 (95% CI 0.21–0.79), and 5.16 (95% CI 2.59–3.46), respectively. This systematic review revealed that there were major differences in the definitions of CT findings, and that the integration of CT findings might not be adequate for predicting short-term mortality in ARDS. Standardisation of CT findings and accumulation of further studies by CT with unified standards are warranted.
Update Mammakarzinom 2021 Teil 5 – fortgeschrittenes Mammakarzinom
Authors: Lüftner Diana , Schütz Florian , Stickeler Elmar , Fasching Peter A. , Janni Wolfgang , Kolberg-Liedtke Cornelia , Kolberg Hans-Christian , Thomssen Christoph , Müller Volkmar , Fehm Tanja N. , Belleville Erik , Bader Simon , Untch Michael , Welslau Manfred , Thill Marc , Tesch Hans , Ditsch Nina , Lux Michael P. , Wöckel Achim , Aktas Bahriye , Schneeweiss Andreas , Würstlein Rachel , Hartkopf Andreas D. 
Published: June 2022

ZusammenfassungTrotz der COVID-19-Pandemie und weitgehend virtueller Kongresse schreitet die Innovation in Bezug auf die Behandlung von Patientinnen mit Mammakarzinom mit ungebremster Geschwindigkeit fort. Dieser Übersichtsartikel fasst die aktuellen Entwicklungen zusammen. Die ersten Daten zum Gesamtüberleben für eine Therapie mit einem CDK4/6-Inhibitor in Kombination mit einem Aromatasehemmer bei nicht vorbehandelten, postmenopausalen Patientinnen in der ersten fortgeschrittenen Therapielinie wurden veröffentlicht. Ebenso zeigte eine Studie, die Trastuzumab-Deruxtecan mit Trastuzumab-Emtansin verglich, einen deutlichen Vorteil in Bezug auf das progressionsfreie Überleben. Die Kenntnisse über Biomarker, die eine Therapie mit einem Checkpoint-Inhibitor besonders effektiv machen, nehmen zu, und neue Substanzen wie die oralen selektiven Östrogenrezeptor-Destabilisatoren (SERDs) halten Einzug in die klinische Entwicklung und schließen die ersten Phase-III-Studien ab.
HTX-011 in Combination with Multimodal Analgesic Regimen Minimized Severe Pain and Opioid Use after Total Knee Arthroplasty in an Open-Label Study
Authors: Lee Gwo-Chin , Berkowitz Richard , Hacker Scott , Hu Jia , Rechter Alan 
Published: June 2022

AbstractTotal knee arthroplasty (TKA) can be associated with significant postoperative pain despite multimodal analgesic (MMA) protocols, and most patients require the use of opioids postoperatively. HTX-011 is a dual-acting local anesthetic containing bupivacaine and low-dose meloxicam in an extended-release polymer. In a prior randomized controlled trial (RCT), HTX-011 reduced pain and opioid use through 72 hours after TKA compared with bupivacaine hydrochloride. This open-label study (NCT03974932) evaluated the efficacy and safety of HTX-011 combined with an MMA regimen in patients undergoing TKA under spinal anesthesia. All patients received intraoperative HTX-011 (400 mg bupivacaine/12 mg meloxicam) in combination with an MMA regimen consisting of preoperative acetaminophen, celecoxib, and pregabalin and postoperative acetaminophen and celecoxib until discharge. Opioid rescue was allowed upon patient request for additional pain control. Pain scores, opioid consumption, discharge readiness, and adverse events were recorded. Fifty-one patients were treated. Compared with the prior RCT, HTX-011 with this MMA regimen further lowered pain scores and reduced opioid use. Mean patient-reported pain scores remained in the mild range, and 82% of patients or more did not experience severe pain at any individual time point through 72 hours after surgery. Mean total opioid consumption was low over 72 hours: 24.8 morphine milligram equivalents (1–2 tablets of oxycodone 10 mg/day). Approximately 60% of patients were ready for discharge by 12 hours, and 39% were discharged without an opioid prescription and did not call back for pain management. The treatment regimen was well tolerated, and no added risk was observed with the addition of MMA. HTX-011 with an MMA regimen reduced postoperative pain and opioid use following TKA.
Towards an optical time scale at VNIIFTRI
Authors: Sutyrin D.V. , Gribov A.Yu. , Balaev R.I. , Gorokhina A.A. , Pal’chikov V.G. , Malimon A.N. , Slyusarev S.N. 
Published: June 2022

Abstract
A frequency chain for converting the frequency of an optical clock based on ultracold 87Sr atoms is updated for its comparison with the frequency of microwave standards from the State Primary Standard of time and frequency units and the national time scale, GET 1-2018. The results of the corresponding experiments are reported and analysed. An instrumental complex for reproducing and keeping the time and frequency units and the national time scale of the primary standard is described; this complex includes an optical clock based on strontium atoms and microwave standards of new generation. The order of the atomic time scale generation with application of optical clocks is also determined.