bluuebunny/crossref_metadata_2025_split huggingface dataset:
Design of rib pillars in deep longwall mines based on rockburst and water‐seepage prevention
Authors: Zhang Ming , Zhang Junfei , Jiang Fuxing , Jiao Zhenhua 
Published: December 2020

AbstractSuperhigh‐water backfill mining can mitigate rockburst risks in rockburst‐prone deep coal mines and reduce pollution caused by traditional cemented paste backfill. In this mining method, the width of the rib pillar between two longwall panels is important to maintain roadway stability, prevent rockbursts and water seepage. To design the width of rib pillars, this study firstly established a T‐shaped overlying strata structure model and analyzed source of stress that caused deformation of the T‐shaped model. Based on this model, the abutment stress in the rib pillar was determined. Then, the criterion for overall burst instability of the rib pillar was proposed according to the derived abutment stress. The limit equilibrium theory was applied to obtain the pillar plasticity which can be used as the criterion for water‐seepage prevention. The proposed approach was used to design the width of a rib pillar in Yineng Coalmine located in Shandong Province, China. The analysis of the microseismic monitoring results and borehole drill cuttings show that the designed rib pillar with a width of 10 m was stable without water seepage during mining, indicating the width design method proposed in this study is effective.
Associations of cannabis use disorder with cognition, brain structure, and brain function inAfrican Americans
Authors: Koenis Marinka M. G. , Durnez Joke , Rodrigue Amanda L. , Mathias Samuel R. , Alexander‐Bloch Aaron F. , Barrett Jennifer A. , Doucet Gaelle E. , Frangou Sophia , Knowles Emma E. M. , Mollon Josephine , Denbow Dominique , Aberizk Katrina , Zatony Molly , Janssen Ronald J. , Curran Joanne E. , Blangero John , Poldrack Russell A. , Pearlson Godfrey D. , Glahn David C. 
Published: December 2020

AbstractAlthough previous studies have highlighted associations of cannabis use with cognition and brain morphometry, critical questions remain with regard to the association between cannabis use and brain structural and functional connectivity. In a cross‐sectional community sample of 205 African Americans (age 18–70) we tested for associations of cannabis use disorder (CUD,n= 57) with multi‐domain cognitive measures and structural, diffusion, and resting state brain‐imaging phenotypes. Post hoc model evidence was computed with Bayes factors (BF) and posterior probabilities of association (PPA) to account for multiple testing. General cognitive functioning, verbal intelligence, verbal memory, working memory, and motor speed were lower in the CUD group compared with non‐users (p < .011; 1.9 < BF < 3,217). CUD was associated with altered functional connectivity in a network comprising the motor‐hand region in the superior parietal gyri and the anterior insula (p < .04). These differences were not explained by alcohol, other drug use, or education. No associations with CUD were observed in cortical thickness, cortical surface area, subcortical or cerebellar volumes (0.12 < BF < 1.5), or graph‐theoretical metrics of resting state connectivity (PPA < 0.01). In a large sample collected irrespective of cannabis used to minimize recruitment bias, we confirm the literature on poorer cognitive functioning in CUD, and an absence of volumetric brain differences between CUD and non‐CUD. We did not find evidence for or against a disruption of structural connectivity, whereas we did find localized resting state functional dysconnectivity in CUD. There was sufficient proof, however, that organization of functional connectivity as determined via graph metrics does not differ between CUD and non‐user group.
Dietary intake of branched‐chain amino acids and survival after colorectal cancer diagnosis
Authors: Long Lu , Yang Wanshui , Liu Li , Tobias Deirdre K. , Katagiri Ryoko , Wu Kana , Jin Lina , Zhang Fang‐Fang , Luo Xiao , Liu Xing , Ogino Shuji , Chan Andrew T. , Meyerhardt Jeffrey A. , Giovannucci Edward , Zhang Xuehong 
Published: December 2020

AbstractBranched‐chain amino acids (BCAAs), including leucine, isoleucine and valine, may potentially influence cancer progression by various mechanisms including its role in insulin resistance. However, the association of BCAAs with survival among patients with established colorectal cancer (CRC) remains unclear. We evaluated the associations between postdiagnostic BCAA intake with CRC‐specific mortality and overall mortality among 1674 patients with nonmetastatic CRC in the Nurses' Health Study and the Health Professionals Follow‐up Study. Patients completed a validated food frequency questionnaire. Multivariable hazard ratios (HRs) were calculated using Cox proportional‐hazards regression model after adjustment for tumor characteristics and potential confounding factors. Comparing the highest with the lowest quartile intake of postdiagnostic total BCAA, the multivariable HRs were 1.18 (95% confidence interval [CI], 0.75‐1.85, P for trend = .46 across quartiles) for CRC‐specific mortality and 1.30 (95% CI, 1.01‐1.69, P for trend = .04) for all‐cause mortality. The multivariable HRs (the highest vs the lowest quartile) for all‐cause mortality were 1.33 (95% CI, 1.03‐1.73, Ptrend = .02) for valine, 1.28 (95% CI, 0.99‐1.66, P for trend = .05) for leucine and 1.25 (95% CI, 0.96‐1.61, P for trend = .06) for isoleucine. No statistically significant associations with each of the BCAA intake were observed for CRC‐specific mortality (all P for trend > .30). Our findings suggest positive associations between higher intake of dietary BCAAs and risk of all‐cause mortality in CRC patients. These findings need to be confirmed and potential mechanisms underlying this association need to be elucidated.
Mechanisms leading to equilibrium in economy with financial market
Authors: Lipieta Agnieszka , Ćwięczek Ilona 
Published: December 2020

AbstractJoseph Schumpeter pointed to the important role of the economic mechanism, understood as a set of rules and regularities explaining the economic life, within the evolution of the economy. Innovative mechanisms as well as mechanisms of adaptation of innovations into agents' activities were at the core of his interest. This paper aims at designing some kinds of innovative and non‐innovative mechanisms that can appear within the economic evolution. Hurwicz mechanisms are used to rigorously study the processes within which real and financial innovations are adopted into routine agents' activities. Mechanisms that could result in the existence of equilibrium in the economy with financial markets and private ownership are specifically under our consideration. Due to the above, qualitative properties of analysed mechanisms can be examined with respect to Schumpeter's concepts.
FIGO good clinical practice paper: management of the second stage of labor
Authors: Wright Alison , Nassar Anwar H. , Visser Gerry , Ramasauskaite Diana , Theron Gerhard ,   for the FIGO Safe Motherhood and Newborn Health Committee
Published: December 2020

AbstractThis good clinical practice paper provides an overview of the current evidence around second stage care, highlighting the challenges and the importance of maintaining high‐quality, safe, and respectful care in all settings. It includes a series of recommendations based on best available evidence regarding length of second stage, judicious use of episiotomy, and the importance of competent attendants and adequate resource to facilitate all aspects of second stage management, from physiological birth to assisted vaginal delivery and cesarean at full dilatation. The second stage of labor is potentially the most dangerous time for the baby and can have significant consequences for the mother, including death or severe perineal trauma or fistula, especially where there are failures to recognize and repair. This paper sets out principles of care, including the vital role of skilled birth attendants and birth companions, and the importance of obstetricians and midwives working together effectively and speaking with one voice, whether to women or to policy makers. The optimization of high‐quality, safe, and personalized care in the second stage of labor for all women globally can only be achieved by appropriate attention to the training of birth attendants, midwives, and obstetricians. FIGO is committed to this aim alongside the WHO, ICM, and all FIGO’s 132 member societies.
Cancer detection using convolutional neural network optimized by multistrategy artificial electric field algorithm
Authors: Sinthia P. , Malathi M. 
Published: December 2020

AbstractRecently, image processing schemes are widely used to improve disease detection performance in many medicinal fields. Cancer is considered as one of the most deadly disease and early diagnosis of cancer is the complicated task in the field of medicine. In this paper, we present the two pretrained convolutional neural network (CNN) based on ensemble models such as VGG19 and VGG16 for cancer diagnosis that classifies both normal and abnormal images. The dilemma associated with CNN hyperparameter tuning complicates while diagnosing cancer. Hence, we propose multistrategy based artificial electric field (M‐AEF) algorithm for hyper‐parameter tuning in CNN thereby finding the optimal values. The exponentially decaying learning rates are more helpful to train CNN and prevent it from a local minimum. Thus, random minority over‐sampling and random majority under‐sampling address the imbalanced issue present in the dataset. The images are obtained from three different datasets namely the Kaggle dataset, International Collaboration on Cancer Reporting (ICCR) dataset, and cancer programming dataset for cancer detection. The experimental results are executed in MATLAB software and various performance analyses are carried out. Finally, the proposed method demonstrated better and higher cancer detection performance than other methods.
Temperature dependence of nickel ion release from nitinol medical devices
Authors: Saylor David M. , Sivan Shiril , Turner Paul , Shi Huiyu , Soneson Joshua E. , Weaver Jason D. , Di Prima Matthew , Sussman Eric M. 
Published: December 2020

AbstractNitinol exhibits unique (thermo)mechanical properties that make it central to the design of many medical devices. However, nitinol nominally contains 50 atomic percent nickel, which if released in sufficient quantities, can lead to adverse health effects. While nickel release from nitinol devices is typically characterized using in vitro immersion tests, these evaluations require lengthy time periods. We have explored elevated temperature as a potential method to expedite this testing. Nickel release was characterized in nitinol materials with surface oxide thickness ranging from 12 to 1564 nm at four different temperatures from 310 to 360 K. We found that for three of the materials with relatively thin oxide layers, ≤ 87 nm nickel release exhibited Arrhenius behavior over the entire temperature range with activation energies of 80 to 85 kJ/mol. Conversely, the fourth ''black–oxide'' material, with a much thicker, complex oxide layer, was not well characterized by an Arrhenius relationship. Power law release profiles were observed in all four materials; however, the exponent from the thin oxide materials was approximately 1/4 compared with 3/4 for the black–oxide material. To illustrate the potential benefit of using elevated temperature to abbreviate nickel release testing, we demonstrated that a > 50 day 310 K release profile could be accurately recovered by testing for less than 1 week at 340 K. However, because the materials explored in this study were limited, additional testing and mechanistic insight are needed to establish a protective temperature scaling that can be applied to all nitinol medical device components.
Quantitative phase imaging of erythrocyte in epilepsy patients
Authors: Ünal Aysun , Kocahan Özlem , Altunan Bengü , Aksoy Gündoğdu Aslı , Uyanık Merve , Özder Serhat 
Published: December 2020

AbstractThe present study focuses on the quantitative phase imaging of erythrocytes with the aim to compare the morphological differences between epilepsy patients under antiepileptic treatment, who have no other disease which may affect the erythrocyte morphology, and the healthy control group. The white light diffraction phase microscopy (WDPM) has been used to obtain the interferogram of the erythrocyte surfaces. The continuous wavelet transform with Paul wavelet has been chosen to calculate the surface profiles from this interferogram image. For the determination of alteration in morphology, besides WDPM, erythrocyte surfaces have been investigated by light microscope and scanning electron microscope. In this way, it has been possible to see the difference in terms of precision and implementation between the most commonly used methods with regard to the quantitative phase imaging. Erythrocytes from all the samples have been examined and displayed in both two‐ and three‐dimensional way. We have observed that erythrocytes of patients with effective antiepileptic blood levels were more affected in morphology than healthy subjects. When we compared the erythrocyte morphological changes of patients who received monotherapy or polytherapy, no difference was observed. In conclusion, antiepileptic drugs (AEDs) cause red blood cell (RBC) morphological changes and a combined usage of WDPM with Paul wavelet and light microscopy methods are very convenient for studying the erythrocyte morphologies on multiple patients.
Bone and renal safety profile at 72 weeks after switching to tenofovir alafenamide in chronic hepatitis B patients
Authors: Lee Brian T , Chang Mimi , Lim Carolina , Bae Ho S , Fong Tse‐Ling 
Published: December 2020

AbstractBackground and AimTenofovir disoproxil fumarate (TDF) has been efficacious in treating chronic hepatitis B (CHB), but long‐term use is accompanied by a decline in renal function and bone mineral density (BMD). Tenofovir alefanamide (TAF) is a prodrug of tenofovir, with similar efficacy in CHB but with fewer side effects than TDF. Recent studies on patients who underwent the switch from TDF to TAF have shown improved bone and renal profiles from 24 to 48 weeks of follow‐up.MethodsThis study provides follow‐up at 72 weeks in a real‐world cohort of 61 Asian CHB patients who were switched from TDF to TAF. All patients had been treated with TDF for at least 12 months with hepatitis B virus DNA <21 IU/mL prior to switch.ResultsImprovements in proximal tubular function, measured by urine beta‐2‐microglobulin to creatinine and retinol‐binding protein to creatinine ratios, were sustained at 72 weeks (P < 0.01). Renal function showed decline at 72 weeks compared to baseline (GFRCG 90.9 vs 96.3 mL/min, P < 0.01). Improvement in hip BMD was sustained at 72 weeks (mean % change of 17.7% from baseline, P < 0.01). However, spine BMD showed discordance, with initial improvement at 24 weeks (3.3% from week 0, P < 0.01) but regression at 72 weeks (−0.6% from week 0, P = NS). Interestingly, there was a slight increase in weight and BMI after 72 weeks (P < 0.01).ConclusionsCHB patients who switch from long‐term TDF to TAF therapy show sustained improvement in proximal tubular function and hip BMD. Weight gain was noted, and long‐term studies are needed to evaluate its effect on patient outcomes.
Twenty‐four‐month outcomes from a cluster‐randomized controlled trial of extending antiretroviral therapy refills in ART adherence clubs
Authors: Cassidy Tali , Grimsrud Anna , Keene Claire , Lebelo Keitumetse , Hayes Helen , Orrell Catherine , Zokufa Nompumelelo , Mutseyekwa Tabitha , Voget Jacqueline , Gerstenhaber Rodd , Wilkinson Lynne 
Published: December 2020

AbstractIntroductionThe antiretroviral therapy (ART) adherence club (AC) model has supported clinically stable HIV patients’ retention with group ART refills and psychosocial support. Reducing visit frequency by increasing ART refills to six months could further benefit patients and unburden health systems. We conducted a pragmatic non‐inferiority cluster randomized trial comparing standard of care (SoC) ACs and six‐month refill intervention ACs in a primary care facility in Khayelitsha, South Africa.MethodsExisting community‐based and facility‐based ACs were randomized to either SoC or intervention ACs. SoC ACs met five times annually, receiving two‐month refills with a four‐month refill over year‐end. Blood was drawn at one AC visit with a clinical assessment at the next. Intervention ACs met twice annually receiving six‐month refills, with an individual blood collection visit before the annual clinical assessment AC visit. The first study visits were in October and November 2017 and participants followed for 27 months. We report retention in care, viral load completion and viral suppression (<400 copies/mL) 24 months after enrolment and calculated intention‐to‐treat risk differences for the primary outcomes using generalized estimating equations specifying for clustering by AC.ResultsOf 2150 participants included in the trial, 977 were assigned to the intervention arm (40 ACs) and 1173 to the SoC (48 ACs). Patient characteristics at enrolment were similar across groups. Retention in care at 24 months was similarly high in both arms: 93.6% (1098/1173) in SoC and 92.6% (905/977) in the intervention arm, with a risk difference of −1.0% (95% CI: −3.2 to 1.3). The intervention arm had higher viral load completion (90.8% (999/1173) versus 85.1% (887/977)) and suppression (87.3% (969 /1173) versus 82.6% (853/977)) at 24 months, with a risk difference for completion of 5.5% (95% CI: 1.5 to 9.5) and suppression of 4.6% (95% CI: 0.2 to 9.0).ConclusionsIntervention AC patients receiving six‐month ART refills showed non‐inferior retention in care, viral load completion and viral load suppression to those in SoC ACs, adding to a growing literature showing good outcomes with extended ART dispensing intervals.
An international classification of inherited metabolic disorders (ICIMD)
Authors: Ferreira Carlos R. , Rahman Shamima , Keller Markus , Zschocke Johannes ,   ICIMD Advisory Group
Published: December 2020

AbstractSeveral initiatives at establishing a classification of inherited metabolic disorders have been published previously, some focusing on pathomechanisms, others on clinical manifestations, while yet another attempted a simplified approach of a comprehensive nosology. Some of these classifications suffered from shortcomings, such as lack of a mechanism for continuous update in light of a rapidly evolving field, or lack of widespread input from the metabolic community at large. Our classification—the International Classification of Inherited Metabolic Disorders, or International Classification of Inborn Metabolic Disorders (ICIMD)—includes 1450 disorders, and differs from prior approaches in that it benefited from input by a large number of experts in the field, and was endorsed by major metabolic societies around the globe. Several criteria such as pathway involvement and pathomechanisms were considered. The main purpose of the hierarchical, group‐based approach of the ICIMD is an improved understanding of the interconnections between many individual conditions that may share functional, clinical, and diagnostic features. The ICIMD aims to include any primary genetic condition in which alteration of a biochemical pathway is intrinsic to specific biochemical, clinical, and/or pathophysiological features. As new disorders are discovered, we will seek the opinion of experts in the advisory board prior to inclusion in the appropriate group of the ICIMD, thus guaranteeing the continuing relevance of this classification via regular curation and expert advice.
Atom search sunflower optimization for trust‐based routing in internet of things
Authors: Jadhav Pramod P. , Joshi Shashank D. 
Published: December 2020

AbstractInternet of Things (IoT) is a ubiquitous network that assists the system to monitor and organize the world by processing, collection, and analysis of produced data by IoT nodes. The IoT is susceptible to numerous attacks, wherein the sinkhole attack is the most destructive one, which affects the communication amongst network devices. The security of the IoT is affected due to the lack of dynamic network topology, centralized control, and network communications, so that the trust‐based routing is important. The conventional trust‐based routing strategies are ineffective to offer protection against attack and thus, trust management remains a major challenge in routing. This paper proposes a novel technique namely Atom Search Sunflower Optimization (ASSFO) for providing trust‐based routing in IoT network. The proposed ASSFO is designed by incorporating Sunflower Optimization (SFO) in Atom Search Optimization (ASO). The method utilizes several trust factors for determining and isolating attacks while optimizing the performance of the network. The trust factors considered in the method include indirect trust, recent trust, integrity factor, direct trust, and availability factor. Moreover, the trusted nodes are selected using the trust factor and further used for secure routing using the proposed ASSFO algorithm. The proposed ASSFO outperformed other methods with maximal energy of 0.908, maximal trust of 0.845, maximal PDR of 0.907, and maximal throughput of 0.909.
Reducing topsoil depth decreases the yield and nutrient uptake of maize and soybean grown in a glacial till
Authors: Guo Lili , Yang Yue , Zhao Yue , Li Yansheng , Sui Yueyu , Tang Caixian , Jin Jian , Liu Xiaobing 
Published: December 2020

AbstractSoil erosion decreases topsoil depth on hill slopes and increases depth in depositional areas, and hence impacts soil fertility and crop productivity in agricultural systems. However, it is not clearly elucidated how different crop species adapt to soil erosion regarding root function, nutrient uptake, and rhizosphere biochemical properties, which is pivotal to cropping strategy. We established three simulated erosion severities with topsoil depths of 10, 20, and 30 cm on a Mollisol farmland under a maize‐soybean rotation system with no‐tillage (zero‐tillage). After three consecutive years of field experiment, the decrease in topsoil thickness from 30 to 10 cm resulted in 9–22% decrease in maize yield but no impact on soybean yield. Compared to the 30‐ and 20‐cm topsoil thickness, the 10‐cm topsoil significantly lowered root and shoot biomass of maize at the jointing (V7) and milk stages (R3) and of soybean at the mid‐seed filling stage (R6). Compared to the 30‐cm topsoil treatment, the 10‐cm topsoil decreased available N and P in soil by 42 and 36% under maize, and by 25 and 19% under soybean, respectively, while the shallow topsoil also decreased ratios of N, P, and K content to root length with the decreases being less for maize than soybean. Compared to the 30‐cm topsoil depth, the 10‐ and 20‐cm topsoil significantly increased the activities of urease, phosphatase, and invertase in maize rhizosphere soil, but not in soybean rhizosphere soil except for the activity of urease in 10‐cm topsoil. These results indicated that maize was more sensitive to thinning of topsoil than soybean due to the reduced soil nutrient availability and its capability to extract nutrients from the soil. The greater stimulation of nutrient mineralization processes in soil did not alleviate the nutrient constraint to maize yield under shallow topsoil conditions. Thus, it is increasingly important to develop fertilization strategy to maintain nutrient supply for maize rather than soybean when these crops are grown in the shallow topsoil.