bluuebunny/crossref_metadata_2025_split huggingface dataset:
Maize hybrid yield and physiological response to plant density across four decades in China
Authors: He Pin , Ding Xiangpeng , Bai Jing , Zhang Jiwang , Liu Peng , Ren Baizhao , Zhao Bin 
Published: September 2022

AbstractThe popularity of density‐tolerant maize (Zea mays L.) hybrids greatly increased the yield of maize hybrids in China in recent years. Clarifying trends in yield and plant density responses of agronomic characters of maize hybrids released in different years can provide theoretical and practical guidance for breeding high‐yield and density‐tolerant maize hybrids. The results showed grain yield (GY) of maize hybrids released in the 1970s and 1980s decreased with increased plant density. But GY of maize hybrids released in the 1990s and 2000s increased with a plant density increase. The GY gains from the low to high plant density plots were 86, 135, and 198 kg ha–1 per year, respectively. In all plant density treatments, yield and biomass of newer hybrids (2000s) were significantly higher than those of older hybrids (1970s). The leaf area index (LAI) of maize hybrids released in different years (1970s ∼ 2000s) increased with plant density, whereas the extinction coefficient decreased. Compared with the old hybrids, new hybrids have larger population sink capacity and stronger source supply ability, which is more prominent under high density. Population sink capacity is the main factor limiting maize yield. The key to maize hybrid improvement is to increase the population sink capacity. Breeders should continue to select for hybrids under stressful and high plant density conditions to increase seed setting rate and decrease empty ear rate of maize hybrids.
Smartphone use and willingness to adopt digital pest and disease management: Evidence from litchi growers in rural China
Authors: Cai Yi , Qi Wene , Yi Famin 
Published: September 2022

AbstractThis study uses a dataset covering 928 small litchi growers in southern China to investigate the determinants of farmers' willingness to adopt digital pest and disease management (DPDM), focusing on smartphone use. An endogenous switching probit model is employed to address potential selection bias. The result confirms the positive role of smartphone use on willingness to adopt DPDM. Age, education, health, wealth, cooperative membership, and credit access are also associated with farmers' willingness to adopt DPDM. Moreover, we find that the determinants of smartphone users' and nonusers' willingness to adopt DPDM are different. Finally, we propose a digital inclusion agenda to promote rural smartphone adoption and use in agriculture. [EconLit Citations: Q16, Q18].
Two‐dimensional Zn(II) coordination polymer and hydrogen bond‐mediated two‐dimensional Cu(II) network based on trans‐2‐aminocyclopentanecarboxylate
Authors: Yoo Sung Hyun , Gong Jintaek , Zhang Lianjin , Jeong Seoneun , Kim Jin , Lee Hee‐Seung 
Published: September 2022

AbstractCoordination polymers from α‐amino acids are promising organic–inorganic hybrid composites with chirality and biocompatibility. However, coordination polymers from unnatural amino acids are rarely studied. Here, we report the transition metal complexes from an unnatural β‐amino acid, (1S,2S)‐2‐aminocyclopentanecarboxylic acid, affording two possible coordination modes from the conformationally rigid cyclopentane ring. X‐ray crystallographic analysis revealed that Zn(II) formed a two‐dimensional (2D) coordination polymer via N,O‐bridging mode. In contrast, Cu(II) formed a discrete complex via N,O‐chelating mode and then constructed a 2D supramolecular network stabilized by hydrogen bonding between water and the ligands.
Contrast‐enhanced ultrasound (CEUS) of benign and malignant renal tumors: Distinguishing CEUS features differ with tumor size
Authors: Zhu Jianing , Li Nan , Zhao Ping , Wang Yanjie , Song Qing , Song Luda , Li Qiuyang , Luo Yukun 
Published: September 2022

AbstractBackgroundContrast‐enhanced ultrasound (CEUS) is now a guideline‐recommended strategy for diagnosing renal lesions. Tumor size is related to the risk of the treatment and prognosis in renal tumors. Thus, we aim to analyze the CEUS features of solid renal tumors in relation to tumor size.MethodsThe CEUS appearance of 156 pathologically diagnosed solid renal tumors were retrospectively analyzed. Three groups were stratified according to the tumor size (≤2 cm [group I], 2.1–4 cm [group II] and 4.1–7 cm [group III]). For each group, the features of wash‐in type, enhancement degree, enhancement homogeneity, and the presence of a pseudocapsule sign were compared between benign and malignant tumors.ResultsAll 156 included lesions were detected by CEUS. The proportion of benign tumors in three size groups was 37.1%, 19.4%, and 20.4%, respectively. The proportion of malignant tumors was highest (80.6%) in group II, followed by group III (79.6%) and group I (62.9%). In group I, malignant and benign tumors differed significantly in the presence of a pseudocapsule sign (p = 0.015) and homogeneity (p = 0.007). In group II, the degree of enhancement differed (p = 0.02) between tumor types. In group III, the two tumor types differed in both the wash‐in pattern (p = 0.015) and enhancement degree (p = 0.024). The weighted and Cohen's kappa values for the concordance between inter‐observer agreement ranged from 0.31 (95% CI: 0.36–0.57) to 0.90 (95% CI: 0.77–1.00).ConclusionsCEUS features of malignant and benign renal tumors change along with the tumor size. The use of CEUS features in the diagnosis of benign and malignant tumors requires consideration of tumor size.
Aberrantly expressed long noncoding RNAs as potential prognostic biomarkers in newly diagnosed multiple myeloma: A systemic review and meta‐analysis
Authors: Qin Jiading , Ke Bo , Liu Tingting , Kong Chunfang , Li Anna , Fu Huan , Jin Chenghao 
Published: September 2022

AbstractBackgroundNumerous studies have manifested long noncoding RNAs (lncRNAs) as biomarkers to determine the prognosis of multiple myeloma (MM) patients. Nevertheless, the prognostic role of lncRNAs in MM is still ambiguous. Herein, we performed a meta‐analysis to evaluate the predictive value of aberrantly expressed lncRNAs in MM.MethodsA systemic literature search was performed in PubMed, EMBASE, Cochrane, and Web of Science databases until October 9, 2021, and the protocol was registered in the PROSPERO database (CRD42021284364). Our study extracted the hazard ratios (HRs) and 95% confidence intervals (CIs) of overall survival (OS), progression‐free survival (PFS), or event‐free survival (EFS). Begg's and Egger's tests were employed to correct publication bias.ResultTwenty‐six individual studies containing 3501 MM patients were enrolled in this study. The results showed that aberrant expression of lncRNAs was associated with poor OS and PFS of MM patients. The pooled HRs for univariate OS and PFS were 1.48 (95% CI = 1.17–1.88, p < 0.001) and 1.30 (95% CI = 1.18‐1.43, p < 0.001), respectively, whereas the pooled HRs for multivariate OS and PFS were 1.50 (95% CI = 1.16‐1.95, p < 0.001) and 1.59 (95% CI = 1.22‐2.07, p < 0.001), respectively. Subgroup analysis suggested that MALAT1, TCF7, NEAT1, and PVT1 upregulation were associated with poor OS (p < 0.05), PVT1, and TCF7 upregulation were implicated with worse PFS (p < 0.05), while only TCF7 overexpression was correlated with reduced EFS (p < 0.05). Moreover, the contour‐enhanced funnel plot demonstrated the reliability of our current conclusion, which was not affected by publication bias.ConclusionAberrantly expressed particular lncRNAs are critical prognostic indicators in long‐term survival as well as promising biomarkers in progression‐free status. However, different cutoff values and dissimilar methods to assess lncRNA expression among studies may lead to heterogeneity.
Incorporation of liver chemistry score in predicting survival of liver‐involved advanced gastric cancer patients who received palliative chemotherapy
Authors: Feng Ying , Zhang Cheng , Wu Zhijun , Xu Hui , Zhang Xiaopeng , Feng Chong , Shao Jingyi , Xie Minmin , Yang Yahui , Zhang Yi , Ma Tai 
Published: September 2022

AbstractBackgroundGastric cancer liver metastasis (GCLM) patients usually accompany by abnormal serum liver function tests (LFTs) more or less; however, the prognostic value of LFTs is not fully understood. This study aimed to develop a liver chemistry score (LCS) based on LFTs and incorporate it into prognosis determination for GCLM patients who received palliative chemotherapy.MethodsData were derived from hospitalized GCLM patients in two general hospitals in China. LCS was generated based on the results of LFTs by LASSO regression. Cutoff value of the score was determined by restricted cubic spline. The score was then incorporated into Cox regression analysis to construct a predictive nomogram; the model was then evaluated internally and externally by AUC of time‐dependent receiver operating characteristic curves (ROC) and calibration curves.ResultsThree hundred and thirty‐six and 72 patients were included in development and validation cohort, respectively. LASSO regression analysis in development cohort finally reached a two‐parametric LCS calculated on AST and ALP levels as 0.03343515 × ln (AST, U/L) + 0.02687997 × ln (ALP, U/L), and 0.232 was set as optimal cutoff value. Patients in low (LCS < 0.232) or high (LCS ≥ 0.232) score group experienced different survival times; median OS was 13.54 (95% CI: 11.1–15.6) months in the low LCS group and 7.3 (6.6–9.3) months in the high LCS group (p < 0.001). A nomogram including LCS and other clinical parameters was constructed and showed superior performance than model not including LCS. AUC of 6‐month ROC improved from 0.647 (95% CI: 0.584–0.711) to 0.699 (0.638–0.759) in internal validation, and 0.837 (0.734–0.940) to 0.875 (0.784–0.966) in external validation.ConclusionsLiver chemistry score is useful in determining the prognosis of gastric cancer patients with liver metastasis and may be helpful to clinicians in decision‐making.
Risk factors for heightened COVID‐19‐Related anxiety among breast cancer patients
Authors: Shah Yash B. , Kjelstrom Stephanie , Martinez Diana , Leitenberger Adam , Manasseh Donna‐Marie , Bollmann‐Jenkins Melissa , Partridge Ann , Kaklamani Virginia , Chlebowski Rowen , Larson Sharon , Weiss Marisa 
Published: September 2022

AbstractBackgroundThe COVID‐19 pandemic has disrupted medical care, increased isolation, and exacerbated anxiety in breast cancer patients. Since March 2020, Breastcancer.org experienced a sustained surge in requested pandemic‐related information and support. To characterize the pandemic‐related experiences of breast cancer patients, we surveyed the Breastcancer.org Community early in the COVID‐19 era.MethodsBreastcancer.org Community members were invited to complete an online questionnaire regarding their experience during the pandemic. Self‐reported data on demographics, comorbidities, care disruptions, anxiety, coping ability, telemedicine use, and satisfaction with care were collected. Results were analyzed using Stata 16.0 (Stata Corp., Inc).ResultsIncluded were 568 current and previous breast cancer patients, primarily with U.S. residence. Overall, 43.8% reported at least one comorbidity associated with severe COVID‐19 illness and 61.9% experienced care delays. Moderate to extreme anxiety about contracting COVID‐19 was reported by 36.5%, increasing with number of comorbidities (33.0% vs. 55.4%, p = 0.021), current breast cancer diagnosis (30.4% vs. 42.5%, p = 0.011), and poorer coping ability (15.5% vs. 53.9%, p < 0.0001). Moderate to extreme anxiety about cancer care disruptions was reported by 29.1%, increasing with current breast cancer diagnosis (19.1% vs. 38.9%, p < 0.0001), actual delayed care (18.9% vs. 35.3%, p < 0.0001), and poorer coping ability (13.1% vs. 57.7%, p < 0.0001). Most utilized telehealth and found it helpful, but also expressed increased anxiety and subjectively expressed that these were less preferable.ConclusionEarly in the COVID‐19 pandemic, anxiety was reported by a large proportion of breast cancer patients, with increased prevalence in those with risk factors. Attention to mental health is critical, as emotional distress not only harms quality of life but may also compromise outcomes.
Impact of prior cancer history on survival of patients with hypopharyngeal cancer
Authors: Liang Qi‐Wei , Hong Shu‐Yi , Peng Liang , Liao Jing , Wen Wei‐Ping , Sun Wei 
Published: September 2022

AbstractBackgroundThe impact of prior cancer history on survival of hypopharyngeal cancer patients remains unknown. The present study assessed the impact of prior cancer history on survival of patients with hypopharyngeal cancer.MethodsPatients with primary hypopharyngeal cancer diagnosed between 2004 and 2015 were extracted from the Surveillance, Epidemiology, and End Results (SEER) database. Propensity score matching (PSM) was conducted to balance baseline characteristics. One‐to‐one PSM, Kaplan–Meier method, and log‐rank test were performed for survival analysis.ResultsWe included 5017 patients with hypopharyngeal cancer. Prior cancer history had no significant impact on overall survival of hypopharyngeal cancer patients in comparison with those without prior cancer history (p = 0.845, after PSM). Subgroup analysis showed that prior cancer history had no significant effect on overall survival of hypopharyngeal cancer patients.ConclusionMore hypopharyngeal cancer patients with prior cancer history should be considered for clinical trials. However, further prospective studies are needed.
Integrative community therapy for the promotion of mental health in adolescents: A quasi‐experimental study
Authors: Felipe Adriana Olimpia Barbosa , Alves Mariane Inaraí , de Andrade Maria Betânia Tinti , Bressan Vânia Regina , da Silva Moreira Denis 
Published: September 2022

AbstractBackgroundThe numerous transformations that occur during adolescence render this phase more susceptible to mental health issues, and it is therefore important to conduct studies assessing interventions aimed at promoting mental health among this population.AimTo evaluate the effects of integrative community therapy (ICT) on the mental health of adolescents.MethodThis is a quasi‐experimental pre‐ and post‐test study with a quantitative approach. The participants were 127 adolescents aged 12–17 years, attending a public school in the southern region of Minas Gerais, Brazil, who completed a participant characterisation questionnaire and the Strengths and Difficulties Questionnaire (SDQ). Ten ICT sessions were conducted for each group, with an average participation of 12 adolescents per group. The recommended guidelines of the Standards for Quality Improvement Reporting Excellence were used for the presentation of this study.ResultsIn the pre‐intervention assessment, 70.1% of the adolescents presented a positive screening for mental health alteration. Females were more likely to present as borderline or abnormal based on the total SDQ score, and were more likely to report emotional and relationship issues with peers. It was evidenced that the ICT sessions contributed to a reduction in alterations in adolescent mental health in the domains of hyperactivity, emotional issues, conduct issues, relationship issues, and the total SDQ score.ConclusionIntegrative community therapy was an effective intervention for reducing mental health alterations in adolescents. Worthy of note is the role of healthcare and education professionals in the promotion of adolescent health.
Synthesis of Mn(OH)(OCH3) as a Novel Precursor for 2D MnS‐Based Lithium‐ and Sodium‐Ion Battery Anode Materials**
Authors: Chen Xunjie , Zhang Menghui , Liu Zhiting , Cai Jianzhong , Fan Haosen , Cui Yuyan , Wu Zenan , Peng Feng 
Published: September 2022

AbstractManganese sulfides (MnS) are particularly appealing electrode candidates for lithium/sodium‐ion batteries, because of their low cost, wide availability, and environmental benignity. Herein, well‐defined Mn(OH)(OCH3) nanoflakes are synthesized for the first time, whereby two‐dimensional (2D) porous α‐MnS and its composite with N, S co‐doped carbon (α‐MnS@NSC) are produced via the topologic sulfurization of Mn(OH)(OCH3) or a Mn(OH)(OCH3)@polydopamine intermediate. The electrochemical lithium/sodium‐storage properties of α‐MnS are most likely governed by the conductivity, and thus can be significantly enhanced through integrating with conductive carbon coating. As a result, α‐MnS@NSC outperforms the bare α‐MnS and most of the reported MnS‐based anodes, demonstrating the high reversible capacities (1275 mA h g−1 at 0.2 A g−1 for LIBs and 581 mA h g−1 at 0.1 A g−1 for SIBs), great rate capability, and long cyclabilities. This work showcases both a novel strategy to fabricate 2D manganese‐based compounds and a preferred architecture for high performance lithium/sodium‐ion batteries.
Fe‐Catalyzed Electrochemical C−O Bond Cleavage of Ethers to Access Benzazoles from Ethers and o‐Substituted Anilines
Authors: Lai Yin‐Long , Yang Xiao , Wu Si‐Chao , Li Xi‐Yong , Gong Yao‐Xiong , Zhang Sheng‐Ling , Zhong Rui‐Min , Liao Jian‐Hua , Luo (Dr.) Jian‐Min 
Published: September 2022

AbstractAn efficient Fe‐catalyzed electrochemical synthesis of benzothiazoles from ethers with 2‐aminobenzenethiols has been developed through selective C−O bond cleavage of ethers under oxidant‐free conditions. A set of ethers have been converted to the corresponding 2‐aryl‐, 2‐heteroaryl‐, and 2‐alkyl‐substituted benzothiazoles in moderate to good yields. The method has also been successfully applied to generation of benzimidazoles and benzoxazoles with satisfactory yields and good functional group compatibility.
Transport phenomena with reactions in drug delivery: Towards a quantitative description
Authors: Qiu Xianjie , Neogi Parthasakha 
Published: September 2022

AbstractA distributed system called a Krogh cylinder is used here to quantify the transport of a solute from the capillary into the extravascular tissue. The capillary network is broken down into cylindrical cells, each containing a capillary and an appropriate amount of extravascular tissue. The flow in the cylinder model has two‐dimensional velocities, which are in the axial and radial directions. All parameters of the system, together with the geometric ones, have been included in the model. For a given bioavailability, the uptakes of reactive and nonreactive solutes have been obtained. Very large or massive molecules have been considered. The diffusion in the tissue is found to be very low. Most of the drug uptake happens through convection, which is slowed down in the presence of a reaction. Further, this convection is entirely due to the flow out into the lymphatic system. For the case where a reaction takes place, local equilibrium is assumed, which both cuts down the computation times and provides good results in the case of reactive solutes. The full results of a distributed system have been obtained for the first time, and the mechanics of how the area‐under‐the‐curve can be used to calculate the actual solute uptake have been determined.
Prediction of critical total drawdown in sand production from gas wells: Machine learning approach
Authors: Alakbari Fahd Saeed , Mohyaldinn Mysara Eissa , Ayoub Mohammed Abdalla , Muhsan Ali Samer , Abdulkadir Said Jadid , Hussein Ibnelwaleed A. , Salih Abdullah Abduljabbar 
Published: September 2022

AbstractSand production is a critical issue in petroleum wells. The critical total drawdown (CTD) is an essential indicator of the onset of sand production. Although some models are available for CTD prediction, most of them are proven to lack accuracy or use commercial software. Furthermore, the previous correlations have not studied the trend analysis to verify the correct relationships between the parameters. Therefore, this study aims to build accurate and robust models for predicting CTD using response surface methodology (RSM) and support vector machine (SVM). The RSM is utilized to obtain the equation without using any software. The SVM model is an alternative method to predict the CTD with higher accuracy. This study used 23 datasets to develop the proposed models. The CTD is a strong function of the total vertical depth, cohesive strength, effective overburden vertical stress, and transit time with correlation coefficients (R) of 0.968, 0.963, 0.918, and −0.813. Different statistical methods, that is, analysis of variance (ANOVA), F‐statistics test, fit statistics, and diagnostics plots, have shown that the RSM correlation has high accuracy and is more robust than correlations reported in the literature. Moreover, trend analysis has proven that the proposed models ideally follow the correct trend. The RSM correlation decreased the average absolute percent relative error (AAPRE) by 12.7% compared to all published correlations' AAPRE of 22.6%–30.4%. The SVM model has shown the lowest AAPRE of 6.1%, with the highest R of 0.995. The effects of all independent variables on the CTD are displayed in three‐dimensional plots and showed significant interactions.
CO2 utilization in Eastern Canada: Sources, sites, and grid effects
Authors: Breuvart Emilie , Zeman Frank 
Published: September 2022

AbstractAchieving net zero carbon dioxide (CO2) emissions will require the cessation of fossil fuel emissions into the atmosphere, yet the need for ‘fuel’ and energy storage will remain. One solution could be a carbon‐based fuel system where CO2 of biogenic origin is converted to fuels using hydrogen generated by electrolysis powered by renewable energy sources. Methane has value as an initial target given its prevalence in biogas, use in home heating and in electricity generation. Sources of CO2 in Eastern Canada are dominated by the iron and steel, cement, and aluminium industries, all of which have biogenic fuel options. Collecting all of the potentially biogenic CO2 would displace 75% of current natural gas use and require a 50% increase in generating capacity. Initial efforts could site a carbon capture, utilization, and storage facility near Montreal, QC, with other large‐scale facilities near Hamilton, ON, and Lac St‐Jean, QC. These facilities would be grid connected and expected to operate ~6200 h annually. The most high‐frequency electrolysis events would be 10 h of run time and 2 h of idle time. These periods would peak during the equinox months and be at a minimum during the winter solstice. These operational assumptions will all be subject to the increased variability caused by anthropogenic climate change and increased renewable generation on the grid. A closed‐loop carbon‐based fuel system would require an equivalent price of $250 per tonne CO2.
Effects of Ti Doping on TaFeSb Half‐Heuslers Estimated by a Single Parabolic Band Model
Authors: Park Hyunjin , Kim Sang‐il , Lee Kiyoung , Seo Won‐Seon , Kim Hyun‐Sik 
Published: September 2022

AbstractRecent discovery of new p‐type Ta1‐xTixFeSb‐based half‐Heusler thermoelectric alloy has drawn much attention due to its high thermoelectric performance, zT of ∼1.52 near 970 K. However, the electronic band parameters of TaFeSb nor Ti‐doped TaFeSb have not been studied so far. Here we report the band parameters of Ta1‐xTixFeSb (x=0–0.16) calculated by the Single Parabolic Band model. Ti doping (x=0.12) both increases the density‐of‐states effective mass and non‐degenerate mobility by 27 and 29 times compared to those of the pristine TaFeSb (x=0). This simultaneous increase results in weighted mobility improvement by a factor of 4000 with Ti doping of x=0.12. Based on the estimated weighted mobility and the lattice thermal conductivity, the 300 K zT of Ta0.88Ti0.12FeSb (x=0.12) can be further increased by 10% once the carrier concentration is appropriately tuned.