bluuebunny/crossref_metadata_2025_split huggingface dataset:
Not in my group: Protecting group reputation by excluding stereotypical targets
Authors: Jacob Jorge , Chen Jacqueline M. 
Published: April 2023

AbstractAcross many societies, there are racial minority groups that are negatively stereotyped. In the US and Brazil, for instance, Black individuals are unjustifiably stereotyped with criminality by non‐Black individuals. Consequently, in situations where this negative stereotype could apply, Black individuals may be more motivated to protect their group's reputation than individuals from non‐stereotyped groups. This research extended the literature on racial categorization processes and stereotype threat by identifying a novel mechanism that increases the exclusion of undesirable potential ingroup targets. Across four experiments with Black and non‐Black Brazilians and Americans (n = 1202), we show that when perceivers from negatively stereotyped groups (e.g., Black individuals) can exclude targets who reinforce negative stereotypes of the ingroup, they will do so to avoid further threats to their group's public reputation. We also explore cross‐cultural variability (Brazilians vs. Americans) in the level of impact of group reputation threats in shaping racial categorization.
Transformational policies and strategies framework accelerating green transition – The case of agriculture in Vietnam
Authors: Thanh Binh Nguyen , Tan Sinh Bach , Van Thuy Tien Le 
Published: April 2023

AbstractGreen transition is an urgent need for all countries, but there are many challenges in its implementation, especially in developing countries like Vietnam. This study was carried out through an analysis of relevant policies and a case study of conversion from rice monoculture to an integrated rice‐shrimp farming system in the Vietnamese Mekong Delta. The results showed that Vietnam has many policies, strategies, and plans to promote economic transformation toward sustainable, green, low emission, and climate change adaptation. However, the implementation of these policies in practice still faces some difficulties. The case study's result revealed that the rice‐shrimp model is suitable and brings many benefits to society, economy, and environment. The success of the transition depends on many factors including initiative, creativity, and consensus at the local level. A theoretical framework was built to promote the transition toward green and sustainable development in the future.
Vermicomposting of solid textile sludge spiked with cow dung by epigeic earthworm Eisenia fetida in variable population density
Authors: Zaman Asad Bin , Rahman Atoar , Mahmud Iqbal , Roy Hridoy , Hoque Sirajul , Uddin Jashim , Rahman Mominur 
Published: April 2023

AbstractA six‐week study was conducted on vermicomposting of textile sludge spiked with cow dung at a dry mass ratio of 2:3 by epigeic earthworm Eisenia fetida, with variable population densities (40, 80, and 120 earthworm/kg dry substrate). The earthworm characteristics and metal content of the substrate were observed at the beginning and the end of the experiment, whereas particle size, pH, electrical conductivity (EC), volatile matter (VM), total organic carbon (TOC), and total Kjeldhal nitrogen (TKN) were determined at every week. No mortality of E. fetida was found during the composting process. A high rate of cocoon or egg production (~4 cocoon earthworm−1) was evident in the most populated substrate. However, overcrowding affected the production of hatchlings, resulting in 5.57–1.03 hatchling earthworm−1 from the lowest to the highest population densities. Growth of the adult earthworm was also retarded, which varied from 0.44 to 0.35 g earthworm−1 with the increase of population density due to high competition for food. The particle size of the substrate material was reduced from 4 mm to 0.6 mm in the most populated substrate which was ascertained to be the most efficient option to reduce substrate particle size. All final substrates gained a C/N ratio lower than 20 except the lowest populated substrate. The change in metallic contents incorporated in substrates showed reverse relationship with the population. Though the overall result demonstrated that the physicochemical properties of the substrate materials are favored by the higher population density, it showed negative effect on the biological activities of earthworms.
Thermoeconomic multiobjective optimization of tobacco drying heat pump recovering waste heat from monocrystal silicon furnace based on SVR ANN model in Southwest China
Authors: Hou Jiwei , Mao Chengbin , Xu Yingjie 
Published: April 2023

AbstractGreat quantities of energy are consumed by heat pump drying systems (HPDSs), such as tobacco drying. It can be reduced by increasing evaporating temperature using waste heat. In this paper, based on the case of two main industries in southwest China (monocrystalline silicon industry and tobacco industry), a novel integrated HPDS especially for the tobacco drying using waste heat from single crystal silicon furnaces is proposed. It is then analyzed from an energetic and economical perspective, investigating the effects of heat exchanger areas on system performance. To simultaneously minimize system CO2 emissions and total annual cost (TAC), a multiobjective optimization using nondominated sorting genetic algorithm is conducted based on the support vector regression model, which has been rarely reported for integrated HPDS improved by waste heat. The final optimum solution on the Pareto optimal front is selected using different decision‐making methods (LINMAP, TOPSIS, and fuzzy decision method), and are compared with the performance of the initial system. The results show that the TOPSIS method is most suitable in three decision‐making methods with a great reduction in (−12.7%) and nearly unchanged in TAC (+0.5%) compared with the initial solution. And the decreases in and TAC of the optimized system is as large as 50% and 1/3, compared with traditional vapor compression heat pump dryer without heat recovery of the monocrystal silicon furnace.
Analogous study of cumulative biogas production by anaerobic digestion of sewage treatment plant sludge, the proposal of universal dimensionless models
Authors: Ameri Billal , Hanini Salah 
Published: April 2023

AbstractThe current global concern is how to replace polluting fossil fuels with sustainable green fuels. On this basis, in this study, a characterization protocol for sewage sludge in Algeria was carried out. Their objective was to study the process of anaerobic digestion for biogas production by analogy to experiments that have already been made in the literature. The performance of the proposed models has been validated with experimental data from the scientific literature. Biodegradable organic matter levels are high (160–500 mg L−1) giving an acceptable yield for biogas production. The modeling of cumulative biogas production was carried out by Gompertz and models were proposed for different products. It has been observed that there is a better agreement of the models proposed with the experimental data with a maximum value of r2 = 0.9996. The modeling of the degradation of organic matter was carried out by the first order‐model, and dimensionless models were proposed. The latter gave a good agreement with the experimental data better than the model in the literature, with a maximum value of r2 = 0.9985. The proposed models to study the anaerobic digestion process of organic matter, as well as those related to the process of cumulative biogas production, are universal (without units of measurement), which will help producers in this field to improve production, as well as reduce the investment cost through preliminary simulations.
Weekly versus 3‐weekly cisplatin along with radiotherapy for locoregionally advanced non‐nasopharyngeal head and neck cancers: Is the equipoise in literature addressed yet?
Authors: Chatterjee Sataksi , Kiyota Naomi , Vaish Richa , Sharma Atul , Tahara Makoto , Noronha Vanita , Prabhash Kumar , D'Cruz Anil 
Published: April 2023

AbstractConcurrent chemoradiotherapy with 3‐weekly cisplatin 100 mg/m2has been the standard of care for locoregionally advanced head and neck cancer (LA‐HNC) with level I evidence. While the outcomes in terms of efficacy have been well established, the toxicity profile, compliance, and real‐world applicability has been an area of ongoing concern for this regimen, leading the oncologists to explore weekly cisplatin chemoradiotherapy regimen to potentially address the issue. A review of literature was conducted in Pubmed, Scopus, and Medline to compare and evaluate the present role of weekly cisplatin chemotherapy along with radiotherapy versus 3‐weekly cisplatin chemotherapy along with radiotherapy in both adjuvant and definitive settings for locoregionally advanced head and neck cancers. Nasopharyngeal subsites were excluded from the literature review and 50 relevant articles were included in the analysis. Recently published evidences of noninferiority of weekly over 3‐weekly cisplatin chemoradiotherapy regimen in definitive as well as adjuvant settings in locoregionally advanced head and neck cancers is highlighted and interpreted. Results supporting and against the above in different publications is elaborated in this article. Trials designed to demonstrate noninferiority of the weekly cisplatin chemoradiotherapy regimen over 3‐weekly regimen, especially in definitive setting may conclude the debate in future. A lacunae in the existing literature is noted in the form of lack of superiority trials on the above topic, which may impact future conclusions.
Chemical reaction effects on magnetohydrodynamic convective flow past a vertical absorbent plate with ramped wall temperature and concentration
Authors: Harikrushna M. , Prabhakara Rao G. , Mallikarjuna Reddy A. 
Published: April 2023

AbstractThe numerical analysis is conducted to evaluate the heat generating as well as Soret–Dufour influences on magnetohydrodynamic unsteady chemically reacting fluid. It is owing to an exponentially stimulating perpendicular porous plate entrenched in the absorbent medium by considering ramped surface temperatures and concentrations in the endurance of thermal radiating. The fundamental governing set of equations of the fluid dynamics in the flow is converted into dimensionless form by inserting suitable dimensionless parameters and variables, and the resulting equations are numerically solved by the efficient Crank–Nicolson implicit finite difference method. The influence of several important substantial parameters into the model on the velocity, temperature, and concentration of the fluid, in addition to the skin‐frictions coefficient, Nusselt's number along with Sherwood's number for both thermal conditions has been studied and explored intensely by making use of graphs and tables. It is discovered that, with mounting values of Dufour, heat generating as well as thermal radiating parameters, the fluid temperatures, and velocity enhanced. Likewise, it is noticed that increasing the Soret parameter causes escalated fluid velocity and concentration, whereas the reverse result is noted with the chemical reaction parameter.
Heat transfer performance of thermoelectric cooling integrated with wavy channel heat sink with different magnetic distances
Authors: Wiriyasart Songkran , Kaewluan Sommas , Suksusron Poonyawee 
Published: April 2023

AbstractThermoelectric cooling (TEC) reverses the electrical energy to temperature caused by the Peltier effect, where a temperature difference occurs between two conductors, that is, hot and cold junctions. This article presents the enhanced heat transfer of a TEC module using a TEC1‐12710 model integrated with a wavy channel heat sink using ferrofluid as a coolant under continuous and pulsating flows, where the differences in the distance of the magnetic field are considered. Square permanent magnets measuring 30 mm × 20 mm × 4 mm (width × length × height) are used to transmit a magnetic field to the heat sink and then tested under a magnetic distance of 10–30 mm. The test is performed at a water flow rate from 0.0083 to 0.028 kg/s and supplied with a constant TEC voltage of 12 V. By applying a magnetic field to the TEC module with a magnetic distance of 20 mm and a ferrofluid concentration ratio of 0.015%, the cooling efficiency increases by approximately 18.64%. Hence, using pulsating flow may improve thermal efficiency by approximately 23%. The results show an exponential increase in the cooling efficiency when both passive and active cooling techniques are used.
Modelling infiltration and infiltration excess: The importance of fast and local processes
Authors: Bronstert Axel , Niehoff Daniel , Schiffler Gerd R. 
Published: April 2023

AbstractPhysically based distributed hydrological models aim at an adequate representation of hydrological processes, including runoff generation. A significant proportion of runoff is generated through the subsurface, that is, by groundwater flow or unsaturated subsurface stormflow. However, in the case of high rainfall intensity and/or low soil‐surface infiltrability, surface runoff may strongly contribute to total runoff, too, either through saturation excess (“Dunne‐type surface runoff”) or infiltration excess (“Hortonian surface runoff”). Both types of surface runoff can be rather important if antecedent wetness is high and parts of the catchment area are saturated (leading to saturation excess), or if the maximum infiltration rate into the soil surface is less than the actual rainfall intensity (resulting in infiltration excess). Even though the latter process can be very important during high‐intensity rainstorms, both for flood generation and for matter transport linked with surface runoff, an appropriate consideration of this process in catchment models is still challenging. Actually, budgeting between the actual rainfall intensity and the soil surface infiltration capacity is required and there are a number of challenges in the details: First, the “real” rainfall intensity may vary tremendously in time increments much smaller than the time step of the model. The soil surface infiltrability can also be significantly reduced, for example, by crusting, compaction or sealing of the soil surface or through hydrophobic effects. Otherwise, soil infiltrability can be strongly enhanced as a consequence of preferential flow paths/macropores caused by, for example, bioturbations or other voids. Finally, there is a high variability of such soil surface features at a small spatial scale, below the typical spatial modelling unit. We present observational data and approaches to deal with these challenges. We show results from combined infiltration/infiltration‐excess experiments and observations at three spatial scales. Then, we present a model approach based on a double‐porosity soil enabling the combined modelling of high infiltration rates and dampened soil moisture distribution after termination of infiltration, as observable in the field. Furthermore, we present an approach to model the effects of soil surface conditions on actual infiltration capacity. These approaches improved the plausibility and explanatory power of the model concerning surface runoff generation and soil moisture dynamics. For instance, model results at the plot and hillslope scales show that it is possible to simulate high infiltration rates jointly with a relatively slow movement of moisture within the soil matrix, field phenomena often observed in the case of heavy rainfall. We also simulate non‐linear and space–time variability effects of soil surface conditions, which can be important for flood generation.
Classification of skin lesions with generative adversarial networks and improved MobileNetV2
Authors: Wang Hui , Qi Qianqian , Sun Weijia , Li Xue , Dong Boxin , Yao Chunli 
Published: April 2023

AbstractMalignant skin lesions pose a great threat to patients' health, and the use of computer algorithms for automatic skin medical image classification can effectively improve the efficiency of clinical diagnosis. However, the existing methods for skin classification have complex models and are greatly affected by the imbalance of the dataset. In this work, we propose a two‐stage framework called G‐DMN, it uses CycleGAN to expand the dataset and Dense‐MobileNetV2 (DMN) to achieve the automatic classification of skin lesion images. In the first stage, we use CycleGAN for data augmentation and propose a new image pairing strategy for training. Image pairs are formed from majority class images and minority class images, generators are trained for majority to minority class image conversion, and then minority class images are generated to balance the dataset. In the second stage, we propose a lightweight model called DMN by improving MobileNetV2, it enhances feature reuse by increasing the width of the network and allows the network to focus on focal areas from different scales. The original training set combined with the generated images is used to train DMN for skin lesion classification. We tested the proposed model on the HAM10000 dataset, and the G‐DMN achieved 87.07% classification accuracy, 80.13% precision, 75.28% sensitivity, 96.19% specificity, 77.26% F1‐Score and 0.952 AUC, which has a good classification effect, while the number of parameters of the model is only 5.33 M, which is much lower than other classical classification models. We demonstrate that the proposed method is lighter and more effective than classical classification methods, achieving significant performance improvements.
Positron emission tomography imaging sheds new light on hypoxia and antitumor therapies
Authors: Fang Hanyi , Wang Xingyi , Lan Xiaoli , Jiang Dawei 
Published: April 2023

AbstractThe effect of the hypoxic tumor microenvironment (TME) on the effectiveness of cancer treatments has received widespread attention. It is crucial to investigate the mechanisms by which hypoxia influences the efficacy of these treatments in order to improve the therapeutic outcomes for malignant tumors and the prognoses of patients. Positron emission tomography (PET) imaging is a non‐invasive, reproducible, and quantitative imaging technique that can visualize molecular biological changes in vivo. By utilizing specific PET probes, it is possible to both depict in vivo oxygen levels within the TME and evaluate cancer treatment effectiveness at various targets. This review summarizes the effect of hypoxia on various cancer treatments and examines the role of PET imaging in understanding the mechanisms of hypoxia during and after cancer treatments. It is anticipated that this review will provide new insights for improving tumor therapy from the hypoxia perspective and for early prediction and assessment of therapeutic efficacy via PET imaging.
Rolipram suppresses migration and invasion of human choriocarcinoma cells by inhibiting phosphodiesterase 4‐mediated epithelial‐mesenchymal transition
Authors: Huang Yaqing , Zheng Yanmei , Wang Qianqian , Qi Caixia 
Published: April 2023

AbstractRolipram is a selective phosphodiesterase‐4 (PDE4) inhibitor. The effect of rolipram on the metastasis of choriocarcinoma is barely known. Here, we evaluated the role of rolipram in the migration and invasion of human choriocarcinoma cells in vitro. Human choriocarcinoma cells lines JEG3 and JAR were used in this study. The expression profile of PDE4 subfamily members in choriocarcinoma cells was evaluated using real‐time PCR. The migration and invasion properties of choriocarcinoma cells before and after inhibition of PDE4 by rolipram or RNAi‐directed knockdown were evaluated in vitro. Expression levels of MMP9, TIMP1, E‐cadherin, vimentin, TGFβ1, SMAD1, and SMAD4 of choriocarcinoma cells were compared before and after rolipram treatment, RNAi‐directed knockdown of PDE4D, and overexpression of PDE4D. We found PDE4D was the most commonly expressed isoform of PDE4 both in JEG3 and JAR cells. Rolipram and knockdown of PDE4D were efficient to inhibit the migration and invasion of choriocarcinoma cells in vitro, accompanied by decreased expression of MMP9 and TIMP1. Furthermore, rolipram and knockdown of PDE4D promoted the expression of E‐cadherin but reduced the expression of vimentin in choriocarcinoma cells, and overexpression of PDE4D decreased the expression of E‐cadherin but promoted the expression of vimentin. Rolipram suppressed migration and invasion of human choriocarcinoma cells in vitro, possibly by inhibiting epithelial‐mesenchymal transition through PDE4 inhibition.
The interplay between therapeutic relationship and therapeutic technique: The whole is more than the sum of its parts
Authors: Steindl Stanley R. , Matos Marcela , Dimaggio Giancarlo 
Published: April 2023

AbstractThe interplay between the therapeutic relationship and experiential techniques is powerful. The whole is more than the sum of its parts. Therapeutic relationship predicts therapy outcomes, especially when this involves shared goals, agreed methods, and a strong interpersonal bond. When patients feel safely held in a therapeutic relationship, they feel more confident and willing to participate in experiential techniques. Conversely, the therapist's careful, purposeful implementation of techniques can help strengthen the therapeutic relationship. While the interplay between relationship and technique can be complicated, resulting in rupture, carefully repairing ruptures can both strengthen the relationship and increase willingness to engage with techniques. We comment on five case studies from this issue of the Journal of Clinical Psychology: In Session. We review the literature regarding this interplay between relationship and technique, summarize the case studies and lessons learned, consolidate the findings into a framework, and propose avenues for future therapy consideration and research.
Intracellular metabolomics and microRNAomics unveil new insight into the regulatory network for potential biocontrol mechanism of stress‐tolerant Tricho‐fusants interacting with phytopathogen Sclerotium rolfsii Sacc
Authors: Hirpara Darshna G. , Gajera Harsukh P. 
Published: April 2023

AbstractThe present study employed microRNA (miRNA) sequencing and metabolome profiling of Trichoderma parental strains and fusants during normal growth and interaction with the phytopathogen Sclerotium rolfsii Sacc. In‐vitro antagonism indicated that abiotic stress‐tolerant Tricho‐fusant FU21 was examined as a potent biocontroller with mycoparasitic action after 10 days. During interaction with the test pathogen, the most abundant uprising intracellular metabolite was recognized as
l‐proline, which corresponds to held‐down
l‐alanine, associated with arginine and proline metabolism, biosynthesis of secondary metabolites, and nitrogen metabolism linked to predicted genes controlled by miRNAs viz., cel‐miR‐8210‐3p, hsa‐miR‐3613‐5p, and mml‐miR‐7174‐3p. The miRNAs‐ mml‐miR‐320c and mmu‐miR‐6980‐5p were found to be associated with phenylpropanoid biosynthesis, transcription factors, and signal transduction pathways, respectively, and were ascertained downregulated in potent FU21_IB compared with FU21_CB. The amino benzoate degradation and T cell receptor signaling pathways were regulated by miRNAs cel‐miR‐8210 and tca‐miR‐3824 as stress tolerance mechanisms of FU21. The intracellular metabolites
l‐proline, maleic acid,
d‐fructose, Myo‐inositol, arabinitol,
d‐xylose, mannitol, and butane were significantly elevated as potential biocontrol and stress‐tolerant constituents associated with miRNA regulatory pathways in potent FU21_IB. A network analysis between regulatory miRNA‐predicted genes and intracellular metabolomics acknowledged possible biocontrol pathways/mechanisms in potent FU21_IB to restrain phytopathogen.