bluuebunny/crossref_metadata_2025_split huggingface dataset:
Pharmacokinetics, Safety, and Tolerability of the siRNA JNJ‐73763989 in Healthy Chinese Adult Participants
Authors: Li Haiyan , Niu Xiaoye , Zhang Yu , Zhang Danning , Zhang Yanqing , Wang Liqun , Miao Yongqing , Jiang Yanxin , Ji Jia , Chen Qiaoqiao , Wu Xiaoyun , Ediage Emmanuel Njumbe , Kakuda Thomas N. , Biermer Michael 
Published: November 2022

AbstractJNJ‐73763989, composed of the 2 short‐interfering RNA triggers JNJ‐73763976 and JNJ‐73763924, targets all hepatitis B virus messenger RNAs, thereby reducing all viral proteins. In this phase 1, single‐site, open‐label, parallel‐group, randomized study, participants were given 1 subcutaneous injection of JNJ‐73763989 (100 or 200 mg) to investigate the pharmacokinetics, safety, and tolerability of JNJ‐73763989 in healthy Chinese adult participants. Plasma and urine pharmacokinetic parameters were determined for each trigger up to 48 hours after dosing. Eighteen participants, 9 per dose group, were enrolled. The median age and weight were 33.0 years and 73.65 kg; 83.3% were male. Exposure of both triggers increased dose proportionally. Median time to maximum concentration ranged from 6.0 to 10.0 hours, and mean elimination half‐life ranged from 4.5 to 4.8 hours across both triggers and doses. Mean urinary excretion for JNJ‐73763976 and JNJ‐73763924 ranged from 17.7% to 19.4% and 13.1% to 13.2% for the 100‐ and 200‐mg dose groups, respectively. All treatment‐emergent adverse events (AEs) were mild and resolved by study end, and no AEs or serious AEs resulted in premature study discontinuation or death. Overall, the pharmacokinetics of JNJ‐73763989 in healthy Chinese participants were consistent with previous studies, and JNJ‐73763989 was generally safe and well tolerated after a single dose.
A multitask recommendation algorithm based on DeepFM and Graph Convolutional Network
Authors: Chen Liqiong , Bi Xiaoyu , Fan Guoqing , Sun Huaiying 
Published: November 2022

AbstractFor a long time, the problems of cold start and sparse data have always been the key problems to be solved by the recommendation system. Researchers usually use auxiliary information to deal with the aforementioned problems, thereby achieving the purpose of enhancing the recommendation effect. For example, the multitask feature learning framework (MKR) uses knowledge graphs as auxiliary information to enhance recommendations. However, the MKR algorithm has the problem of insufficient semantic information representation which affect the recommendation results. Thus, a multitask recommendation algorithm based on DeepFM and graph convolutional network (DeepFM_GCN) is proposed. The graph convolution network is used to deeply mine auxiliary entity information in the knowledge graph to supplement the sparse item semantics information in the recommendation task. Through the method of cross compression unit combined with Deep Neural Network to achieve feature sharing items and entities which to make up for the impact of insufficient feature representation. Then the DeepFM_GCN model utilizes DeepFM to deeply mine the interaction feature of users and items to avoid inaccurate items recommended to users. From the analysis of the experimental results, the DeepFM_GCN model can more fully explore user and item features, accordingly avoiding semantic ambiguity and improving prediction accuracy.
Deep auto‐encoder based clustering algorithm for graph‐based web page recommendation system
Authors: Alagappan Jothi Kumar , Victor Savaridoss Paul 
Published: November 2022

SummaryWeb‐page recommendation system (RS) plays a major role in smart web systems. The core technology is the RS, which helps users find their interests or discover item preferences. With the rapid proliferation of information technology, the present era witnessed a remarkable growth in the collection and generation of web data. Every day, it is difficult to project the appropriate information to the user and adds severe complexity to the decision making procedure. Moreover, the existing RS techniques have limitations like huge computation time, high computational cost, over specialization, and sparsity problems. This work presents an effective graph‐based web page recommendation model to overcome these difficulties. Initially, the input data is preprocessed utilizing Natural Language Tool Kit executed in Python. The snapshot‐based dynamic graph model obtains the user‐web page relationship. Weight calculation of user‐item and the user‐user edge is also processed with this graph model. The user‐user edge similarity is used to obtain the user preference vector. Then, unsupervised‐deep auto encoder based density‐based clustering algorithm is proposed to cluster the user preference vector, which groups the visited web page details into k clusters. The web pages are recommended based on the highest score calculated by the page ranking method. Finally, the topmost visited web pages are recommended to web users based on the ranking score. “All the news”, MSNBC, and Weblog datasets are taken for evaluation. The proposed method is evaluated with respect to standard measures like F1 measure, accuracy, recall, precision, and root mean square error. Compared with other existing methods, the proposed technique achieved the highest accuracy, 97.99% for All the news datasets, 93.03% for the MSNBC database, and 90.07% for the Weblog database.
The impact of green culture on employees' green behavior: The mediation role of environmental awareness
Authors: Li Zhongyuan , Yu Huixin , Xing Liyun 
Published: November 2022

AbstractAlthough organizational culture is believed to provide a set of behavioral guidelines for employees' behavior, the internal mechanism by which organizational green culture influences employees' green behavior is not clear. Therefore, based on the “stimulus–organism–response” theory, a logical model of “organizational green culture–environmental awareness–employees' green behavior” was constructed in this study. A sample of 258 employees was collected from the oil industry to test the hypotheses proposed by the model. The results of hierarchical linear regression showed that employees' environmental awareness had a significantly effect on their green behaviors. In addition, two dimensions of organizational green culture: cognitive green culture and emotional green culture, were identified to raise employees' environmental awareness, which in turn motivate them to perform green behaviors. Furthermore, the indirect effect of employees' environmental awareness between cognitive green culture and employees' green is higher.
Comparative Life Cycle Assessment of Chemical and Biocatalytic 2’3’‐Cyclic GMP‐AMP Synthesis
Authors: Becker Martin , Ziemińska‐Stolarska Aleksandra , Markowska Dorota , Lütz Stephan , Rosenthal Katrin 
Published: November 2022

AbstractLife cycle assessments (LCAs) can provide insights into the environmental impact of production processes. In this study, a comparative LCA was performed for the synthesis of 2’3’‐cyclic GMP‐AMP (2’3’‐cGAMP) in an early development stage. The cyclic dinucleotide (CDN) is of interest for pharmaceutical applications such as cancer immunotherapy. CDNs can be synthesized either by enzymes or chemical catalysis. It is not known which of the routes is more sustainable as both routes have their advantages and disadvantages, such as a poor yield for the chemical synthesis and low titers for the biocatalytic synthesis. The synthesis routes were compared for the production of 200 g 2’3’‐cGAMP based on laboratory data to assess the environmental impacts. The biocatalytic synthesis turned out to be superior to the chemical synthesis in all considered categories by at least one magnitude, for example, a global warming potential of 3055.6 kg CO2 equiv. for the enzymatic route and 56454.0 kg CO2 equiv. for the chemical synthesis, which is 18 times higher. This study demonstrates the value of assessment at an early development stage, when the choice between different routes is still possible.
Youth coping and cardiac autonomic functioning: Implications for social and academic adjustment
Authors: Li Xiaomei , Cai Tianying , Jimenez Virnaliz , Tu Kelly M. 
Published: November 2022

AbstractExtending literature on youth coping and stress physiology, this two‐wave longitudinal study examined independent and interactive roles of youth coping with daily stressors (i.e., peer, academic) and cardiac autonomic functioning in subsequent social and academic adjustment across the transition to middle school. Our sample consisted of 100 typically developing youth (10–12 years old at Time 1, 53 boys, 43% ethnic minorities) who reported on their coping strategies in response to peer and academic stress. Youth participated in laboratory tasks (i.e., baseline, mother–youth conversations about youth's actual peer and academic challenges) during which sympathetic and parasympathetic activities were recorded, and cardiac autonomic functioning indicators were derived. Youth, mothers, and teachers reported on various aspects of youths’ social and academic adjustment at Times 1 and 2. Results revealed that, for both peer and academic domains, greater use of engagement coping strategies was prospectively linked with better adjustment 7 months later, but only among youth who exhibited higher (greater sympathetic–parasympathetic coactivation) but not lower (limited coactivation, or coinhibition) cardiac autonomic regulation at baseline. Findings suggest that a match between more engagement coping behaviors and greater cardiac autonomic capacity to coactivate the parasympathetic and sympathetic branches is linked with better social and academic adjustment.
Climate and the biotic community structure plant resistance across biogeographic groups of yellow monkeyflower
Authors: Rotter Michael C. , Christie Kyle , Holeski Liza M. 
Published: November 2022

AbstractCharacterizing correlates of phytochemical resistance trait variation across a landscape can provide insight into the ecological factors that have shaped the evolution of resistance arsenals. Using field‐collected data and a greenhouse common garden experiment, we assessed the relative influences of abiotic and biotic drivers of genetic‐based defense trait variation across 41 yellow monkeyflower populations from western and eastern North America and the United Kingdom. Populations experience different climates, herbivore communities, and neighboring vegetative communities, and have distinct phytochemical resistance arsenals. Similarities in climate as well as herbivore and vegetative communities decline with increasing physical distance separating populations, and phytochemical resistance arsenal composition shows a similarly decreasing trend. Of the abiotic and biotic factors examined, temperature and the neighboring vegetation community had the strongest relative effects on resistance arsenal differentiation, whereas herbivore community composition and precipitation have relatively small effects. Rather than simply controlling for geographic proximity, we jointly assessed the relative strengths of both geographic and ecological variables on phytochemical arsenal compositional dissimilarity. Overall, our results illustrate how abiotic conditions and biotic interactions shape plant defense traits in natural populations.
Variety in responses of wintering oystercatchersHaematopus ostralegusto near‐collapse of their prey in the Exe Estuary,UK
Authors: Morten Joanne M. , Burrell Ryan A. , Frayling Tim D. , Hoodless Andrew N. , Thurston William , Hawkes Lucy A. 
Published: November 2022

AbstractGlobally, habitat loss or degradation is a major threat to many species, and those with specific habitat requirements are particularly vulnerable. Many species of wading birds (Charadrii) are dependent upon intertidal sites to feed, but, as a result of anthropogenic pressures, the prey landscape has changed at many estuaries. Behavioral adaptations may be able to buffer these changes. In this study over multiple seasons, we aimed to investigate the foraging behaviors of wintering Eurasian oystercatchers in the Exe Estuary where mussel beds, the preferred prey at this site, have almost disappeared in the last decade. From 2018 to 2021, GPS tracking devices were deployed on 24 oystercatchers, and the foraging locations of adults, sub‐adults, and juveniles were determined. Of the 12 birds tracked over multiple winter periods, 10 used the same foraging home ranges but a juvenile and sub‐adult changed locations interannually. The dominant prey species at key foraging sites were assessed, and we found that younger birds were more likely to visit sites with lower quality prey, likely due to being at a competitive disadvantage, and also to explore sites further away. Individuals were generally consistent in the areas of the estuary used in early and late winter, and over 90% of locations were recorded in the protected area boundary, which covers the sand and mudflats of the Exe. These findings suggest high specificity of the current protected area for oystercatchers in the Exe Estuary, although, if the prey landscape continues to decline, younger individuals may provide the potential for adaptation by finding and foraging at additional sites. Continued monitoring of individual behavior within populations that are facing dramatic changes to their prey is essential to understand how they may adapt and to develop suitable management plans to conserve threatened species.
Effects of agricultural practices on foraging habitats of a seabird species in the Baltic Sea
Authors: Garthe Stefan , Schwemmer Philipp , Kubetzki Ulrike , Heinze Bernd 
Published: November 2022

AbstractOmnivorous and opportunistic species may be good indicators of food availability. Gulls often use human‐impacted landscapes and may respond to changes by altering their feeding ecology. We investigated the foraging behavior of individual common gulls (Larus canus), focusing on their distribution during foraging and their selected habitat types. We tracked adult common gulls using GPS telemetry at their largest breeding colony in the southwestern Baltic Sea, Germany. Foraging habitats were analyzed from tracking data for three breeding seasons 2016, 2017, and 2019 and were compared with potentially available foraging habitats. Most breeding birds flew toward terrestrial areas. Feeding sites were located on average 11.7–14.3 km from the colony (range 0.9–36.5 km). Corn and sugar beet fields were used significantly and extensively compared with their availability in 2016 and 2017, while wheat, rape, and barley fields were used significantly less. Data from 2019 suggested seasonal shifts in habitat use. Birds spent between 30 and 1300 min per week at their preferred feeding sites, with significant differences between the major habitats selected. We found a stable, clear, multiyear pattern in common gull foraging behavior in relation to agricultural practices. Fields with little or no crop cover and thus access to the soil were preferred over fields with high crop cover. These results suggest that local food availability may be limiting further population increases in this species.
A review of crude oil emulsification and multiphase flows in chemical flooding
Authors: Zhou Yazhou , Yin Daiyin , Li Yuanting , He Jingang , Zhang Chengli 
Published: November 2022

AbstractChemical flooding has become an important method to enhance oil recovery in high‐water cut reservoirs. Crude oil emulsification often occurs during chemical flooding, and it plays a very positive role in increasing crude oil production. Crude oil emulsification increases the complexity of fluid flow in the reservoir including multifield coupling characteristics and multiphase flow and multiphase form characteristics. This paper discusses advanced research techniques and the status of multiphase fluid flows in chemical flooding, including the interfacial rheological properties of emulsions, physical simulation of emulsion seepage, and mathematical models and numerical simulations of seepage. Studies on the mechanism of seepage have analyzed the macroscopic and microscopic aspects of seepage during chemical flooding. Prospective directions for future research are indicated including the study of the interfacial rheological characteristics of emulsions, methods for the evaluation of the seepage characteristics of chemical flooding, and mathematical models of multiphase seepage during chemical flooding.
Predicting post‐wildfire overland flow using remotely sensed indicators of forest productivity
Authors: Noske Philip J. , Lane Patrick N. J. , Nyman Petter , Van der Sant René E. , Sheridan Gary J. 
Published: November 2022

AbstractWildfire can induce an increase in infiltration excess overland flow, which varies from barely detectible to extreme. Soil properties are an important contributor to this variability. Several studies found that a landscape's aridity (the balance of energy and water) is strongly correlated with an increased quantity of post‐wildfire overland flow, with burnt forests of higher aridity producing higher peak flow compared to wetter forests. Related process‐based studies suggested that this relationship can be explained by an interaction between inherent soil macroporosity (varies inversely with aridity) and fire induced water repellency; soils of higher macro‐porosity maintain high infiltration rates despite fire‐enhanced water repellence. Although the observed post‐wildfire runoff/aridity relationship has proven useful in mapping hydrological risk, its transferability is potentially limited for areas where other soil formation factors have greater influence. Here we propose that measurements related to landscape productivity may provide a mappable landscape metric that is based on soil formation processes that influence post‐fire infiltration capacity and may provide a more robust and transferable proxy of fire induced hydrologic change. To test this hypothesis, post‐wildfire runoff data from three new experimental sites with a coastal climate influence were combined with previously published data collected inland across a gradient of aridity. The results showed that post‐wildfire runoff was better correlated with measures of productivity than with aridity, supporting the hypothesis. It is therefore proposed that long‐term average productivity may be a more robust and transferable proxy in estimating the magnitude of increase in overland flow after fire than aridity. This most likely results from a stronger causal link between productivity and soil macroporosity, though this was not measured in this study. As with aridity, this proxy is mappable at high resolution using climate and remotely sensed data, enabling the application of landscape productivity metrics when predicting post‐wildfire hydrologic risk.
Different effects of low muscle mass on the risk of non‐alcoholic fatty liver disease and hepatic fibrosis in a prospective cohort
Authors: Choe Hun Jee , Lee Hyunsuk , Lee DongHo , Kwak Soo‐Heon , Koo Bo Kyung 
Published: November 2022

AbstractBackgroundNon‐alcoholic fatty liver disease (NAFLD) and sarcopenia share insulin resistance as a common pathophysiology and have overlapping clinical manifestation of metabolic derangement; hence, it is difficult to differentiate the independent effect of sarcopenia on the development of NAFLD from concomitant metabolic disorders. Using a community‐based prospective cohort study, the contributions of low muscle mass and genetic risk factors to the development of NAFLD and NAFLD‐related hepatic fibrosis were investigated in the Korean population.MethodsThis prospective community‐based cohort study included 40–70‐year‐old adults, followed up biennially from 2001–2002 to 2017–2018. NAFLD was defined as a hepatic steatosis index of ≥36, and hepatic fibrosis was defined based on the fibrosis‐4 index. Sex‐specific quartiles of body mass index (BMI)‐adjusted muscle mass were calculated (muscle mass/BMI), and low muscle mass was defined as the lowest quartile (Q1). Cox proportional hazard models for incident NAFLD or hepatic fibrosis incorporating age, sex, BMI of ≥25 kg/m2, metabolic syndrome and PNPLA3 and TM6SF2 risk alleles were used to assess the independent determinants for incident NAFLD and hepatic fibrosis among individuals with NAFLD at baseline.ResultsAmong the 4038 participants without NAFLD at baseline (mean age, 51.5 ± 8.8 years), 920 (22.8%) developed NAFLD during the 12‐year follow‐up period. As muscle mass decreased, the risk of NAFLD increased even after adjustment for age, sex, obesity, metabolic syndrome and PNPLA3 and TM6SF2 risk alleles [hazard ratio (HR) per quartile, 1.18, 95% confidence interval (CI), 1.11–1.27, P < 0.001]. TM6SF2 also affected the risk of NAFLD development [HR 1.19, (95% CI, 1.00–1.40), P = 0.044].Of the 1176 patients with NAFLD but without hepatic fibrosis at baseline, the incident of hepatic fibrosis was found in 51.8%, 44.7%, 42.6% and 41.0% in Q1, Q2, Q3 and Q4 of BMI‐adjusted muscle mass, respectively, during the follow‐up period (P for trend = 0.006). However, this trend lost its statistical significance when adjusted for confounders. The PNPLA3 risk variant, but not the TM6SF2 genotype, was an independent risk factor for developing hepatic fibrosis among patients with NAFLD (HR 1.17, 95% CI 1.04–1.32, P = 0.010).ConclusionsBoth lower muscle mass index and genetic risk variants are important contributors to the development of NAFLD. In patients already diagnosed with NAFLD, however, PNPLA3 confers a greater risk for hepatic fibrosis progression than lower muscle mass.
The prognostic value of sarcopenia in oesophageal cancer: A systematic review and meta‐analysis
Authors: Fang Pinhao , Zhou Jianfeng , Xiao Xin , Yang Yushang , Luan Siyuan , Liang Zhiwen , Li Xiaokun , Zhang Hanlu , Shang Qixin , Zeng Xiaoxi , Yuan Yong 
Published: November 2022

AbstractThe loss of skeletal muscle mass and function is defined as sarcopenia, which might develop in elderly patients with cancers. It has been indicated as a potential negative factor in the survival of patients with malignant tumours. The aim of this systematic review and meta‐analysis was to evaluate the associations between sarcopenia and survival outcomes or postoperative complications in patients with oesophageal cancer (EC). Web of Science, Embase, Medline, and Cochrane Library databases were searched until 10 May 2022, using keywords: sarcopenia, oesophageal cancer, and prognosis. Studies investigating the prognostic value of sarcopenia on EC survival were included. Forest plots and summary effect models were used to show the result of this meta‐analysis. The quality of included studies was evaluated with the Newcastle‐Ottawa Scale (NOS). A total of 1436 studies were identified from the initial search of four databases, and 41 studies were included for the final quantitative analysis. This meta‐analysis revealed a significant association between sarcopenia and overall survival (OS) [hazard ratios (HR):1.68, 95% confidence interval (CI):1.54–1.83, P = 0.004, I2 = 41.7%] or disease‐free survival (DFS) 1.97 (HR: 1.97, 95% CI: 1.44–2.69, P = 0.007, I2 = 61.9%) of EC patients. Subgroup analysis showed that sarcopenia remained a consistent negative predictor of survival when stratified by different treatment methods, populations, or sarcopenia measurements. Sarcopenia was also a risk factor for postoperative complications with a pooled odds ratio of 1.47 (95% CI: 1.21–1.77, P = 0.094, I2 = 32.7%). The NOS scores of all included studies were ≥6, and the quality of the evidence was relatively high. The results from the study suggested that sarcopenia was significantly associated with both survival outcomes and postoperative complications in EC patients. Sarcopenia should be appropriately diagnosed and treated for improving short‐term and long‐term outcomes of patients with EC.