bluuebunny/crossref_metadata_2025_split huggingface dataset:
Antifungal Prophylaxis in the Era of Targeted Chemotherapy for Acute Myelogenous Leukemia
Authors: Lewis Russell E. , Stanzani Marta 
Published: July 2023

Abstract
Purpose of Review
This review will provide an overview of the potential drug-drug interactions (DDIs) that may occur when using small-molecule kinase inhibitors (SMKIs) for the treatment of acute myeloid leukemia (AML) with triazole antifungals. We aim to discuss the management strategies for these interactions, including the assessment of invasive fungal disease (IFD) risks, alternative antifungal treatments, and dosage adjustments of SMKI therapy.

Recent Findings
Recent advances in molecular and cell biology have led to the approval of several SMKIs for the treatment of AML. These targeted therapies, while more tolerable than traditional cytotoxic chemotherapy regimens, are metabolized via the cytochrome P450 3A4 pathway, making them susceptible to potential DDIs with triazole antifungals. Managing these interactions requires a tailored approach, taking into consideration the patient’s specific IFD risks, treatment status, and comorbidities. While specific dosing guidance is available for using venetoclax or ivosidenib with triazole antifungals, recommendations for other SMKIs are less certain.

Summary
The use of SMKIs in AML treatment has revolutionized patient care by providing more targeted and tolerable therapies. However, the potential for DDIs, particularly with triazole antifungals, necessitates careful management. Clinicians must carefully assess the specific IFD risks associated with SMKI therapies, evaluate the limitations of current and future antifungal treatments, and consider evidence supporting dosage adjustments when co-administering SMKIs with triazoles. Ongoing research in model-informed precision dosing and therapeutic drug monitoring holds promise for improving the safety and efficacy of managing drug interactions with SMKI therapy.
Current status and development of neutron radiation for biophysical applications in Colombia
Authors: Leyva J. Alfonso , Munévar Edwin 
Published: July 2023

AbstractIn Colombia, medical physics started formally about 3 decades ago. Two master’s programs in medical physics initiated activities at two different universities. In particular, the master’s program at the Pontificia Universidad Javeriana has been underway since 2012, and taking into account its projections, a team was established in 2015 in collaboration with the Universidad Distrital Francisco José de Caldas to conduct basic research on cancer treatment using neutron capture therapy (NCT). The primary goal of our initiative is to create the infrastructure required to adapt new technologies in our universities in the future. The long-term objective is to use neutron radiation to study not only NCT but also biomolecules, membranes, and materials. This will require the commissioning of an actual nuclear facility. Our group has been exclusively focused on carrying out calculations with GEANT4 because of its characteristics as open-source software, its accessibility, and its ample worldwide use and validation in the particle physics, nuclear physics, and medical physics communities. In this work, we present some results of our preliminary design for the ion accelerator column of a compact neutron generator. Also, we present the characterization of the kinematical and dose distributions of boron neutron capture processes using Geant4.
The Compassion Balance: Understanding the Interrelation of Self- and Other-Compassion for Optimal Well-being
Authors: Sahdra Baljinder K. , Ciarrochi Joseph , Fraser Madeleine I. , Yap Keong , Haller Elisa , Hayes Steven C. , Hofmann Stefan G. , Gloster Andrew T. 
Published: July 2023

Abstract
Objectives
This study examined the role of self-other harmony in the relations between self-compassion, other-compassion, and well-being. Past research has shown self- and other-compassion to be positively related. But we hypothesised that self-compassion can be perceived as incompatible with other-compassion, and that self-compassion and other-compassion might be uncorrelated or negatively correlated in daily life for some individuals. We termed this pattern lack of self-other harmony in compassion and hypothesised that it would undermine the benefits of compassion.

Method
Using an experience sampling method in patients (n=154) with a variety of diagnoses, we measured self-compassion, other-compassion, life-satisfaction, mood, and contextual variables six times per day for 42 time points.

Results
For most participants, self-compassion was positively associated with other-compassion. However, there was substantial heterogeneity in this effect. The degree of self-other harmony moderated the link between compassion directed towards self or other and well-being. Higher levels of compassion were associated with higher levels of well-being, but only for those who experienced the harmony. When the two forms of compassion were not in harmony, levels of self/other-compassion were largely unrelated to well-being.

Conclusions
The findings emphasise the importance of personalised compassion interventions rather than a one-size-fits-all approach. Increasing self-compassion or other-compassion is likely to improve well-being for most people. However, for a minority lacking the self-other harmony, it may be necessary to assess their interpretation of self- and other-compassion, then work with them to promote the compassion balance optimal for their well-being.

Preregistration
This study is not preregistered.
A coupled thermal–hydrological–mechanical model for geothermal energy extraction in fractured reservoirs
Authors: Fang Tian , Feng Quanlin , Zhou Rui , Guo Chaobin , Wang Siqi , Gao Kun 
Published: July 2023

AbstractUnderstanding fluid flow in fractured porous media under coupled thermal–hydrological–mechanical (THM) conditions is a fundamental aspect of geothermal energy extraction. In this study, we developed a fully coupled THM model, incorporating porosity and permeability variations, to scrutinize the process of geothermal energy extraction within fractured porous reservoirs. Moreover, we accentuated the significance of natural fracture orientation and hydraulic fracture permeability on fluid trajectories and heat extraction efficiency. Simulation results revealed that hydraulic fractures predominantly govern fluid channels and thermal exchange between injected water and the reservoir. Interconnected natural fractures bolster water migration into the reservoir, while detached fractures exert minimal influence on fluid dynamics, underscoring the crucial role of fracture connectivity in optimizing heat extraction efficiency. The sensitivity analysis indicated that larger fracture angles marginally hinder pressure and cool-water dispersion into the fractured reservoir, resulting in subtle enhancements in heat extraction rates and average production temperatures. An upsurge in hydraulic fracture permeability augments fluid velocity and thermal exchange, thereby fostering heat extraction efficiency. The THM model developed in this study offers a comprehensive insight into fluid flow within fractured porous media and its implications on geothermal energy extraction.
Intimate Relationship Between Stress and Human Alpha-Herpes Virus 1 (HSV-1) Reactivation from Latency
Authors: Jones Clinton 
Published: July 2023

Abstract
Purpose of Review
Numerous studies concluded stress (acute, episodic acute, or chronic) increases the incidence of human alpha-herpes virus 1 (HSV-1) reactivation from latency in neurons. This review will summarize how stress stimulates viral gene expression, replication, and reactivation from latency.

Recent Findings
Stress-mediated activation of the glucocorticoid receptor (GR) accelerates reactivation from latency, whereas a corticosteroid-specific antagonist impairs viral replication and reactivation from latency. GR and specific stress-induced cellular transcription factors also stimulate viral promoters that drive expression of key viral transcriptional regulators: infected cell protein 0 (ICP0), ICP4, ICP27 and viral tegument protein (VP16). Hence, GR is predicted to initially stimulate viral gene expression. GR-mediated immune-inhibitory functions are also predicted to enhance viral replication and viral spread.

Summary
Identifying cellular factors and viral regulatory proteins that trigger reactivation from latency in neurons may provide new therapeutic strategies designed to reduce the incidence of reactivation from latency.
Adaptive differential evolution with fitness-based crossover rate for global numerical optimization
Authors: Cheng Lianzheng , Zhou Jia-Xi , Hu Xing , Mohamed Ali Wagdy , Liu Yun 
Published: July 2023

AbstractDifferential evolution (DE) is one of the most efficient evolution algorithms (ES) for dealing with nonlinear, complicated and difficult global optimization problems. The main contribution of this paper can be summarized in three directions: Firstly, a novel crossover rate (CR) generation scheme based on the zscore value of fitness, named fcr, is introduced. For a minimization problem, the proposed CR generation strategy always assigns a smaller CR value to individual with smaller fitness value. Therefore, the parameters of individuals with better fitness are inherited by their offspring with high probability. In the second direction, the control parameters are adjusted by unused bimodal settings in which each parameter setting is selected according to the evolution status of individual. The third direction of our work is introducing the L1 norm distance as the weights for updating the mean value of crossover rate and scale factor. Theoretically, compared with L2 norm, L1-norm is more efficient to suppress outliers in the difference vector. These modifications are first integrated with the mutation strategy of JADE, then a modified version, named JADEfcr, is proposed. In addition, to improve the optimization ability further, another variant LJADEfcr by using a linear population reduction mechanism is considered. So as to confirm and examine the performance of JADEfcr and LJADEfcr, numerical experiments are conducted on 29 optimization problems defined by CEC2017 benchmark. For JADEfcr, its experimental results are made a comparison with twelve state-of-the-art algorithms. The comparative study demonstrates that in terms of robustness, stability and solution quality, JADEfcr are better and highly competitive with these well-known algorithms. For LJADEfcr, its results are compared with JADEfcr and other nine powerful algorithms including four recent algorithms and five top algorithms on CEC2017 competition. Experimental results indicate that LJADEfcr is superior and statistically competitive with these excellent algorithms in terms of robustness, stability and the quality of the obtained solutions.
Smart cities: the role of Internet of Things and machine learning in realizing a data-centric smart environment
Authors: Ullah Amin , Anwar Syed Myhammad , Li Jianqiang , Nadeem Lubna , Mahmood Tariq , Rehman Amjad , Saba Tanzila 
Published: July 2023

AbstractThis paper explores the concept of smart cities and the role of the Internet of Things (IoT) and machine learning (ML) in realizing a data-centric smart environment. Smart cities leverage technology and data to improve the quality of life for citizens and enhance the efficiency of urban services. IoT and machine learning have emerged as key technologies for enabling smart city solutions that rely on large-scale data collection, analysis, and decision-making. This paper presents an overview of smart cities’ various applications and discusses the challenges associated with implementing IoT and machine learning in urban environments. The paper also compares different case studies of successful smart city implementations utilizing IoT and machine learning technologies. The findings suggest that these technologies have the potential to transform urban environments and enable the creation of more livable, sustainable, and efficient cities. However, significant challenges remain regarding data privacy, security, and ethical considerations, which must be addressed to realize the full potential of smart cities.
Evolving deep gated recurrent unit using improved marine predator algorithm for profit prediction based on financial accounting information system
Authors: Li Xue , Khishe Mohammad , Qian Leren 
Published: July 2023

AbstractThis research proposes a hybrid improved marine predator algorithm (IMPA) and deep gated recurrent unit (DGRU) model for profit prediction in financial accounting information systems (FAIS). The study addresses the challenge of real-time processing performance caused by the increasing complexity of hybrid networks due to the growing size of datasets. To enable effective comparison, a new dataset is created using 15 input parameters from the original Chinese stock market Kaggle dataset. Additionally, five DGRU-based models are developed, including chaotic MPA (CMPA) and the nonlinear MPA (NMPA), as well as the best Levy-based variants, such as the dynamic Levy flight chimp optimization algorithm (DLFCHOA) and the Levy-base gray wolf optimization algorithm (LGWO). The results indicate that the most accurate model for profit forecasting among the tested algorithms is DGRU-IMPA, followed by DGRU-NMPA, DGRU-LGWO, DGRU-DLFCHOA, DGRU-CMPA, and traditional DGRU. The findings highlight the potential of the proposed hybrid model to improve profit prediction accuracy in FAIS, leading to enhanced decision-making and financial management.
Investigation on the effect of the gas-to-metal ratio on powder properties and PBF-LB/M processability
Authors: Cacace S. , Boccadoro M. , Semeraro Q. 
Published: July 2023

AbstractMetal powders for the laser powder bed fusion process are usually produced via gas atomization. However, due to the tight particle size distribution required for this application, the yield of the atomization process is low, resulting in a high-powder cost. In this work, atomization process parameters were varied to increase the gas-to-metal ratio to reduce the particle size distribution produced, and therefore increase the yield of the process. As a result, eight powders were produced starting from scrap AISI 136L material at different gas-to-metal ratio values, and the atomization process yield was successfully increased by 50%. First, the eight powders were characterized in terms of powder size, shape distributions, and flowability. Later, all powders were used to produce tensile specimens. The powders produced at higher yield exhibited a larger number of fine particles but slightly lower circularity, particularly in the coarse fraction. Furthermore, powders produced at a high gas-to-metal ratio demonstrated enhanced flowing properties and higher packing density. Consequently, these powders exhibited superior tensile performance, with ultimate tensile strength (UTS) ranging from 651 to 673 MPa and elongation values between 63 and 66%.
Catalan generating functions for bounded operators
Authors: Miana Pedro J. , Romero Natalia 
Published: July 2023

AbstractIn this paper, we study the solution of the quadratic equation$$TY^2-Y+I=0$$TY2-Y+I=0whereTis a linear and bounded operator on a Banach spaceX. We describe the spectrum set and the resolvent operator ofYin terms of the ones ofT. In the case that 4Tis a power-bounded operator, we show that a solution (named Catalan generating function) of the above equation is given by the Taylor series$$\begin{aligned} C(T):=\sum _{n=0}^\infty C_nT^n, \end{aligned}$$C(T):=∑n=0∞CnTn,where the sequence$$(C_n)_{n\ge 0}$$(Cn)n≥0is the well-known Catalan numbers sequence. We expressC(T) by means of an integral representation which involves the resolvent operator$$(\lambda T)^{-1}$$(λT)-1. Some particular examples to illustrate our results are given, in particular an iterative method defined for square matricesTwhich involves Catalan numbers.
Bio-based alternatives to plastic drinking straws: are they more environmentally benign and consumer preferred?
Authors: Liang Yinglin , He Jiazhou , Zhuang Min , Chen Fayuan , Yang Kui , Ma Jinxing 
Published: July 2023

AbstractThe global production of nondegradable catering straws has skyrocketed due to their versatile properties, which results in significant CO2 emissions and pollution of the ecological system. While paper and polylactic acid straws have gained increasing popularity in the beverage industry, there needs to be more investigation of the vital product properties determining their hedonic differences. This study systematically compared the properties of paper, polylactic acid and plastic straws, and their impacts on the consumer experience and willingness. Results showed that the open structure of paper straws prompted water penetration and absorption, reaching a water absorption of 30% after 10-min wetting, which might affect the taste of the drink. In contrast, the compact polymer matrices of polylactic acid straws prevented mass exchange in their use for drinking but retarded product biodegradation under natural conditions. Results of consumer testing showed that while the participants had a comparable liking of paper and polylactic acid straws to insert into a drink (i.e., 4.16 and 4.47 out of 5, respectively), the intrinsic difference was covered up by the open-ended capping for beverages. For the “fully sealed on top” dataset, paper straws dropped to 3.46, while that for polylactic acid straws remained at 4.70. Furthermore, a biodegradable straw easily inserted into a drink without fracture may positively prompt merchants’ revenue. This study is expected to pave the way for the advancement and widespread use of bio-based products.
Graphical Abstract
Kilowatt-class high-energy frequency conversion to 95 J at 10 Hz at 515 nm
Authors: Divoky Martin , Phillips Jonathan , Pilar Jan , Hanus Martin , Navratil Petr , Denk Ondrej , Paliesek Tomas , Severova Patricie , Clarke Danielle , Smrz Martin , Butcher Thomas , Edwards Chris , Collier John , Mocek Tomas 
Published: July 2023

Abstract
We report on frequency doubling of high-energy, high repetition rate ns pulses from a cryogenically gas cooled multi-slab ytterbium-doped yttrium aluminum garnet laser system, Bivoj/DiPOLE, using a type-I phase matched lithium triborate crystal. We achieved conversion to 515 nm with energy of 95 J at repetition rate of 10 Hz and conversion efficiency of 79%. High conversion efficiency was achieved due to successful depolarization compensation of the fundamental input beam.
EXPERIMENTAL STUDY ON THE CHARGE-EXCHANGE CROSS-SECTIONS OF LOW-ENERGY CARBON IONS IN HELIUM AT GXNU
Authors: Zhang Guofeng , Shen Hongtao , Zhao Zhenchi , Tang Junsen , Wang Li , Chen Dingxiong , Qi Linjie , Wu Kaiyong , Han Xinyi , Ouyang He , Wang Ning , Sun Xiaojun , He Ming , Sasa Kimikazu , Jiang Shan 
Published: July 2023

ABSTRACTCompared with nitrogen and argon, helium is lighter and can better reduce the beam loss caused by angular scattering during beam transmission. The molecular dissociation cross-section in helium is high and stable at low energies, which makes helium the prevalent stripping gas in low-energy accelerator mass spectrometry (AMS). To study the stripping behavior of 14C ions in helium at low energies, the charge state distributions of carbon ion beams with −1, +1, +2, +3, and +4 charge states were measured at energies of 70–220 keV with a compact 14C-AMS at Guangxi Normal University (GXNU). The experimental data were used to analyze the stripping characteristics of C-He in the energy range of 70–220 keV, and new charge state yields and exchange cross-sections in C-He were obtained at energies of 70–220 keV.
The prevailing infection of Schistosoma japonicum and other zoonotic parasites in bubaline reservoir hosts in the ricefield of lake ecosystem: the case of Lake Mainit, Philippines
Authors: Estaño Leonardo A. , Jumawan Joycelyn C. 
Published: July 2023

AbstractBovines are important reservoir hosts of schistosomiasis, placing humans and animals in rice fields areas at risk of infection. This study reported the prevailing infection of zoonotic parasites from bovine feces in the rice fields adjacent to Lake Mainit, Philippines. Formalin Ethyl Acetate Sedimentation was performed on 124 bovine fecal samples from rice fields and documented eggs and cysts from seven parasites: Schistosoma japonicum, Fasciola gigantica, Ascaris sp., Strongyloides sp., Balantidium coli, coccidian oocyst and a hookworm species. Among these parasites, F. gigantica harboured the highest infection with a 100% prevalence rate, followed by hookworms (51.61%), B. coli (30.64%) and S. japonicum (12.09%), respectively. The intensity of infection of S. japonicum eggs per gram (MPEG = 4.19) among bovines is categorized as ‘light.’ Bovine contamination index (BCI) calculations revealed that, on average, infected bovines in rice fields excrete 104 750 S. japonicum eggs daily. However, across all ricefield stations, bovines were heavily infected with fascioliasis with BCI at 162 700 F. gigantica eggs per day. The study reports that apart from the persistent cases of schistosomiasis in the area, bovines in these rice fields are also heavily infected with fascioliasis. The study confirms the critical role of bovines as a reservoir host for continued infection of schistosomiasis, fascioliasis and other diseases in the rice fields of Lake Mainit. Immediate intervention to manage the spread of these diseases in bovines is recommended.
Brain Model Technology and Its Implications
Authors: Muotri Alysson R. 
Published: July 2023

AbstractThe complexity of the human brain creates a spectrum of sophisticated behavioral repertoires, such as language, tool use, self-awareness, symbolic thought, cultural learning, and consciousness. Understanding how the human brain achieves that has been a longstanding challenge for neuroscientists and may bring insights into the evolution of human cognition and disease states. Human pluripotent stem cells could differentiate into specialized cell types and tissues in vitro. From this pluripotent state, it is possible to generate models of the human brain, such as brain organoids. The recent observation that brain organoids can spontaneously develop complex neural network activity in a dish can help one understand how neural network oscillations evolve and vary between normal and disease states. Moreover, this finding can be leveraged to other applications outside medicine, including engineering and artificial intelligence. However, as the brain model technology becomes more complex, it raises a series of ethical and moral dilemmas. This article discusses the status of this technology, some of its current limitations, and a vision of the future.
‘Differences within a range of similarity’: mapping Australian urban history
Authors: Lesh James 
Published: July 2023

AbstractIn 1964, Australian writer Donald Horne observed that ‘whatever differences there are between the Australian cities are differences within a range of similarity’. He proposed that Australia had 11 major cities and yet, in general, there existed a singular national urban culture, a one-city Australia. Unpacking the story of Australian urban history, its national trends and local nuances, has been an ongoing project ever since. What follows is an analysis of the field, which suggests how historians might begin to unpack Horne’s assertion. The final section of the article explores the contribution of Australian urban history in the national and global contexts.