bluuebunny/crossref_metadata_2025_split huggingface dataset:
The impact of university co‐curricular activities on competency articulation proficiency: A mediated model
Authors: Kanar Adam M. , Heinrich Bill 
Published: May 2024

AbstractTo succeed after graduating, university students must develop and communicate their career‐related competencies to hiring managers or graduate admissions committees. Co‐curricular activities (e.g., volunteering, mentoring) coupled with reflection can facilitate students’ career exploration and help them understand, develop, and apply their career‐related competencies. Yet, as a scientific community, we need to learn more about the role of co‐curricular programming in helping students to effectively articulate their learned competencies. We draw on past research to develop and test a model of university student competency articulation proficiency. A serial mediation model predicted students’ learning goal orientation would influence their co‐curricular engagement, which, in turn, would predict career exploration and decision‐making self‐efficacy and self‐reported competency articulation proficiency. We surveyed 126 students enrolled in co‐curricular programming at a university in North America. Results largely supported the hypothesized model. Learning goal orientation, directly and indirectly, affected career exploration and decision‐making self‐efficacy and competency articulation proficiency.
Detection the internal quality of watermelon seeds based on terahertz imaging technology combined with image smoothing and enhancement algorithm
Authors: Bin Li , Jin‐li Yang , Zhao‐xiang Sun , Shi‐min Yang , Aiguo Ouyang , Yan‐de Liu 
Published: May 2024

AbstractThe cultivation processes of watermelon seed are often affected by issues such as empty shells and defects, resulting in significant losses. To obtain high‐quality seeds, the terahertz imaging technology combined with image smoothing and enhancement algorithm was proposed to reduce the noise and non‐obvious features caused by the influence in the imaging process and realize the non‐destructive, efficient, and accurate detection of the internal quality of watermelon seeds. Initially, a terahertz imaging system with a spatial resolution of 0.4 mm was used to acquire images of watermelon seeds with varying levels of fullness. Subsequently, denoising techniques, including Gaussian filtering, median filtering, bilateral filtering, discrete wavelet transformation denoising, wavelet denoising, and principal component analysis denoising, were used to handle the terahertz spectral images of watermelon seeds in the frequency range of 1–1.5 THz, respectively. Image enhancement operations, involving segmented linear gray‐level transformation and fractional‐order differentiation, were performed on the terahertz images of watermelon seeds after denoising. The optimal image processing approach was determined based on defect assessment through threshold segmentation. Finally, the validation was conducted at a spatial resolution of 0.2 mm. The images at a spatial resolution of 0.4 mm were subjected to wavelet denoising and window slicing in segmented linear gray‐level transformation (WS‐SLT) enhancement; the results exhibited the following improvements in defect accuracy compared with untreated THz images. A 7.74% increase in accuracy was observed for empty seeds, along with a 6.29% increase in the defect ratio for defective seeds 1. The defect ratio for intact seeds was 0, and there was no significant difference in defect ratio accuracy for defective seeds 2. At a spatial resolution of 0.2 mm, the average defect ratio error of THz imaging handled by wavelet denoising and WS‐SLT was approximately 5.04%. In conclusion, the terahertz imaging technology coupled with wavelet denoising and WS‐SLT methods can be used to enhance the accuracy of internal defect detection in watermelon seeds, and it provides a technical foundation and reference for assessing watermelon seed fullness.
Superelastic wood‐based nanogenerators magnifying the piezoelectric effect for sustainable energy conversion
Authors: Wu Tong , Lu Yun , Tao Xinglin , Chen Pan , Zhang Yongyue , Ren Bohua , Xie Feifan , Yu Xia , Zhou Xinyi , Yang Dongjiang , Sun Jin , Chen Xiangyu 
Published: May 2024

AbstractIn the quest for sustainable energy materials, wood is discovered to be a potential piezoelectric material. However, the rigidity, poor stability, and low piezoelectric properties of wood impede its development. Here, we obtained a superelastic roasted wood nanogenerator (RW‐NG) by unraveling ray tissues through a sustainable roasting strategy. The increased compressibility of roasted wood intensifies the deformation of cellulose microfibrils, significantly enhancing the piezoelectric effect in wood. Roasted wood (15 × 15 × 15 mm3, longitudinal × radial × tangential) can generate a voltage and current outputs of 1.4 V and 14.5 nA, respectively, which are more than 70 times that of natural wood. The wood sample can recover 90% of its shape after 5000 compressions at 65% strain, exhibiting excellent elasticity and stability. Importantly, roasted wood does not add any toxic substances and can be safely applied on the human skin as a self‐powered sensor for detecting body movements. Moreover, it can also be assembled into self‐powered wooden floors for energy harvesting. These indicate that roasted wood has great potential for sustainable sensing and energy conversion.
Push–Pull Bis‐Norbornadienes for Solar Thermal Energy Storage
Authors: Weber Roza R. , Stindt Charlotte N. , van der Harten Anne‐Lot M. J. , Feringa Ben L. 
Published: May 2024

AbstractInvited for the cover of this issue are Ben L. Feringa and co‐workers at the University of Groningen. The image depicts an autumn forest with the five molecular switches from our study cycling between their two isomers in the sunlight. Read the full text of the article at 10.1002/chem.202400482.
The content, evolution and determinants of COVID‐19 disclosures in Canadian financial statements and MD&A documents: An impression management perspective
Authors: Bujaki Merridee , Mansurov Alisher , McConomy Bruce 
Published: May 2024

AbstractWe assess content, evolution and determinants of COVID‐19 disclosures in accounting documents using natural language processing for TSX60 firms. We evaluate sentiment, extent of disclosure, choice of disclosure medium, links to governance, and the relationship with performance. We focus on accounting‐related disclosures, an understudied aspect of corporate responses to the pandemic, and add to the choice of disclosure media literature. Our unique forward‐looking longitudinal approach to understanding the content, evolution and determinants of COVID‐19 corporate disclosures includes an evaluation of how these disclosures are affected by corporate governance and jurisdictional factors. Our findings include evidence of an inverse relationship between causal reasoning in disclosures and performance, with firms attributing poor performance to the pandemic across years, consistent with impression management.
Dynamic scenario deduction analysis for hazardous chemical accident based on CNN‐LSTM model with attention mechanism
Authors: Chen Guohua , Ding Xu , Gao Xiaoming , Li Xiaofeng , Zhou Lixing , Zhao Yimeng , Lv Hongpeng 
Published: May 2024

AbstractThe evolution of hazardous chemical accidents (HCAs) is characterized by uncertainty and complexity. It is challenging for decision‐makers to expeditiously adapt emergency response plans in response to dynamically changing scenario states. This study proposes a data‐driven methodology for constructing accident scenarios and develops a novel hybrid deep learning model for scenario deduction analysis. This model aids in accurately predicting the evolution of HCAs, enabling emergency responders to prepare and implement targeted interventions proactively. First, a framework for constructing an accident scenario database is presented, based on the time‐sequential characteristics of accident progression. This framework employs a data‐driven approach to describe the evolution process of accident scenarios. Second, a deep learning model (CNN‐LSTM‐Attention) that integrates convolutional neural network (CNN), long short‐term memory (LSTM), and attention mechanism (AM) is developed for accident scenario deduction analysis. Finally, to illustrate practical application, a scenario database for HCAs is established. A major HCA case study is conducted to demonstrate the ability of this model to analyze various scenarios, thereby improving emergency decision‐making efficiency. Compared with algorithms such as CNN, LSTM, and CNN‐LSTM, the prediction accuracy of this method ranges from 86% to 93%, signifying an improvement of over 7%. This work provides a reliable framework for supporting decision‐making in emergency management.
Piezoelectric Materials and Pyroelectric Materials:High Efficient Catalysts for Photoelectrochemical Water Splitting
Authors: Wang Chengyi , Liu Zhifeng 
Published: May 2024

AbstractDirectly transforming solar energy into chemical compounds via photocatalytic water splitting can continually producing hydrogen, regarded as one of the ultimate sustainable energy sources. The key point of achieving high photoelectrochemical (PEC) water splitting performance depends on the successful design and synthesis of high‐efficient photocatalysts. However, the slow separation and fast recombination of photo generated charge carriers greatly limit the utilization of solar energy, resulting in low PEC water splitting efficiency. Recently, piezoelectric/pyroelectric effect assisted PEC water splitting brings new sight on improving charger separate and transfer behaviors. In this review, the recent advancements and state‐of‐the‐art progress in piezoelectric/pyroelectric effect assisted PEC water splitting are summarized and discussed. Different types of photocatalysts are classified according to their chemical constitutions and the corresponding advantages of each type are also discussed. Furthermore, the progress of coupling piezoelectric effect and pyroelectric effect in one PEC water splitting system is also introduced. Finally, the prospects, critical challenges and promising strategies for the application of piezoelectric/pyroelectric materials in PEC water splitting are highlighted.
Dispersion‐Driven Cooperativity in Alkyl Perylene Diimide Oligomers: Insights from Density Functional Theory
Authors: Sahu Rahul , Yamijala Sharma S. R. K. C. , Rao Kotagiri Venkata , Reddy Sandeep K. 
Published: May 2024

AbstractThe cooperative mechanism is of paramount importance in the synthesis of supramolecular polymers with desired characteristics, including molecular mass, polydispersity, and morphology. It is primarily driven by the presence of intermolecular interactions, which encompass strong hydrogen bonding, metal‐ligand interactions, and dipole‐dipole interactions. In this study, we utilize density functional theory and energy decomposition analysis to investigate the cooperative behavior of perylene diimide (PDI) oligomers with alkyl chains at their imide positions, which lack the previously mentioned interactions. Our systematic examination reveals that dispersion interactions originating from the alkyl side‐chain substituents play an important role in promoting cooperativity within these PDIs. This influence becomes even more pronounced for alkyl chain lengths beyond hexyl groups. The energy decomposition analysis reveals that the delicate balance between dispersion energy and Pauli repulsion energy is the key driver of cooperative behavior in PDIs. Additionally, we have developed a mathematical model capable of predicting the saturated binding energies for PDI oligomers of varying sizes and alkyl chain lengths. Overall, our findings emphasize the previously undervalued significance of dispersion forces in cooperative supramolecular polymerization, enhancing our overall understanding of the cooperative mechanism.
DIRED: Dual Indicator Random Early Detection for Congestion Control in WSN
Authors: Jadhav Savita , Jadhav Sangeeta 
Published: May 2024

SummaryWireless Sensor Networks (WSNs) find applications in diverse fields such as environmental monitoring, healthcare, and military surveillance. Nonetheless, one of the primary challenges encountered by WSNs is congestion. Congestion arises in WSNs when there is a high volume of traffic on the network, leading to significant repercussions. These repercussions encompass packet loss, heightened latency durations, and diminished network efficiency. This paper presents an innovative congestion control mechanism named Dual Indicator Random Early Detection (DIRED). DIRED leverages two indicators, namely queue length and packet loss rate, to dynamically adjust the dropping probability of packets, thereby mitigating congestion and enhancing network performance. For the successful execution of the DIRED model, a congestion control algorithm is introduced. This strategy efficiently prevents the deterioration of network performance that can commonly arise from extremely low packet drop probabilities. Simulations are conducted to evaluate the proposed DIRED model, comparing it with the KACO and KFOA techniques. The results demonstrate that DIRED outperforms KACO and KFOA in terms of network performance, achieving a more optimal balance between performance metrics and packet‐dropping probability.
Superficial radiation therapy in dermatology: A historical perspective
Authors: Bhupalam Vishnu , Hetzel John D. , Awad Nardin , Nestor Mark S. 
Published: May 2024

AbstractBackgroundNonmelanoma skin cancers (NMSCs), such as basal cell carcinoma (BCC) and squamous cell carcinoma (SCC), are the most commonly diagnosed type of cancer in the United States, and the incidence of NMSC is increasing. Though surgical excision and Mohs micrographic surgery remain definitive treatments for NMSC, the majority of affected patients are advanced in age and may have relative contraindications to surgery or preferences against it. As such, there is growing value in exploring less‐invasive alternative techniques, such as superficial radiation therapy (SRT). Historically, in the decades following its inception just over a century ago, the field of SRT experienced a boom of innovations that provided the basis for treatment modalities used by dermatologists today.AimsThis paper outlines the history and evolution of SRT in dermatology and discusses SRT's modern role as an alternative to surgical management of NMSC in select patients.ConclusionAlthough a combination of aging equipment and shifts in interest toward surgical methods diminished the prominence of radiation therapy (RT) in the late 20th century, newer iterations of SRT technology have drawn renewed interest as a nonsurgical extremely effective treatment for NMSC. A brief comparison of key clinical and practical factors indicates that SRT is the optimal choice of RT technique for the definitive management of select NMSCs in patients.
Sunscreens—Where are we now?
Authors: Gao David X. , Lim Henry W. , Mohammad Tasneem F. 
Published: May 2024

AbstractIntroductionSunscreen serves as an important method for photoprotection, with strong evidence in minimizing photoaging, photocarcinogenesis, photodermatoses, and pigmentary disorders.ObjectiveThis review explores the legislative status of ultraviolet filters, their mechanisms of action in photoprotection, impact on human health and the environment, secondary photoprotection, and upcoming developments in photoprotection.MethodsA narrative review of recently published literature was conducted.ResultsVarious studies have raised concerns about the impact of sunscreens on the environment and personal health. Further studies are needed in particular to characterize sunscreens' impact on human health. Multiple novel forms of photoprotection are emerging to complement traditional forms of photoprotection.ConclusionsWhile the sunscreen market in the US has remained stagnant, innovations in other avenues of photoprotection are emerging.
Maternal early life and prenatal stress in relation to birth outcomes in Argentinian mothers
Authors: Eckermann Henrik Andreas , Lugones Micaela , Abdala Daniel , Roge Horacio , de Weerth Carolina 
Published: May 2024

AbstractEnvironmental influences before and during pregnancy significantly impact offspring development. This study investigates open research questions regarding the associations between maternal early life stress (ELS), prenatal psychosocial stress, prenatal hair cortisol (HC), and birth outcomes in Argentinian women. Data on ELS, prenatal life events, HC (two samples representing first and second half of pregnancy), and birth outcomes were collected from middle‐class Argentinian women (N = 69) upon delivery. Linear mixed models indicated that HC increased from the first half to the second half of pregnancy with considerable variability in the starting values and slopes between individuals. Mothers who experienced more ELS, were taller, or more educated, tended to show lower increases in HC. Older age was positively related to HC increases. Our data did not suggest an interaction between ELS and prenatal life events in relation to HC. We found that the change in HC was most likely negatively associated with birth weight. Our data are most compatible with either a weak or the absence of an association between ELS or prenatal life events and absolute values of HC. Mothers with stronger increases in hair cortisol tended to have newborns with slightly lower birth weight. Hence, ELS and birthweight may either have been related to changes in cortisol exposure during pregnancy or to factors that influence accumulation or retention of cortisol in hair.
Estimating human pharmacokinetic parameters for electronic nicotine delivery system products from chemical analyses of their aerosols
Authors: Shiffman Saul , Cohen Gal , Liang Qiwei , Cook David K. , Karles Georgios D. 
Published: May 2024

AbstractThe ability of Electronic Nicotine Delivery Systems (ENDS) to deliver nicotine is central to their function to substitute for cigarettes, allowing people who smoke to switch away from smoking, thus reducing their exposure to harmful chemicals in cigarette smoke. The nicotine concentration in ENDS e‐liquid has proved to be a poor predictor of nicotine uptake in users. Using meta‐analytic methods to analyze 12 pharmacokinetic studies of nicotine‐salt closed‐system ENDS, this paper examines whether the mass of nicotine/puff of aerosol can predict Cmax in pharmacokinetic studies. Cmax values were available for 38 products, in 58 use conditions (including both controlled [3 s] and ad libitum puffing), comprising 1769 participant observations. Nicotine/puff data reflected chemical analyses of aerosol obtained under nonintense (3 s) or intense (6 s) machine puffing. Meta‐regression analyses (weighted by reliability of Cmax estimate) assessed the relationship of nicotine/puff to Cmax. In some models, empirical data were used to impute the variation in Cmax or the nicotine/puff value under intense puffing. In simple linear models, Cmax was significantly associated with nicotine/puff under all combinations of intense/nonintense and controlled/ad‐libitum conditions, with R2 values of 0.71–0.77. More complex models based on quadratic effects or log[nicotine/puff] did not generally improve upon more parsimonious linear models. Application of the model illustrates the divergence between nicotine concentration in e‐liquids and expected Cmax when other ENDS parameters vary. The meta‐analytic model may have utility in settings where clinical pharmacokinetic data are not available, including product development.
Development of a degradation method for evaluation of edible oils using a contactless quartz crystal complex capacitance sensor
Authors: Oshima Yu , Sohgawa Masayuki , Abe Takashi 
Published: May 2024

AbstractA method for evaluating the degradation of edible oils using a contactless quartz‐based capacitive detector is reported herein. Oils easily oxidize, resulting in loss of flavor and nutritional value. Therefore, it is necessary to determine oil degradation. We attempted to evaluate the degradation of edible oils by heat and light using this sensor. The results showed the degradation of heated and irradiated oil could be detected. This is due to the compound was formed during heating and irradiation.
Risk and prevalence of Relative Energy Deficiency in Sport (REDs) among professional female football players
Authors: Dasa Marcus S. , Friborg Oddgeir , Kristoffersen Morten , Pettersen Gunn , Sagen Jorn V. , Torstveit Monica Klungland , Sundgot‐Borgen Jorunn , Rosenvinge Jan H. 
Published: May 2024

AbstractA high prevalence of low energy availability (LEA) has been reported in female football players. This is of concern as problematic LEA may evolve into a syndromic pattern known as relative energy deficiency in sport (REDs). Given the difficulties in accurately assessing LEA, our study shifts emphasis to measurable indicators of REDs, serving as proxies for health detriments caused by LEA. The present cross‐sectional study aimed to quantify the risk of REDs and to assess the prevalence of indicators indicative of the syndrome. 60 players (tiers 3 and 4) from three Norwegian football teams were analyzed as a single cohort but also stratified based on player position and menstrual status. The proportion of players at risk for REDs was 22%, that is, 17% with mild, 3% with moderate to high, and 2% with very high/extreme risk, respectively. The majority of the cohort (71%) presented with no primary indicators, while 20%, 7%, and 2% presented with one, two, and three primary indicators, respectively. Regarding secondary indicators, 57% had none, 33% had one, and 10% had two indicators. For associated indicators, 30% had none, 42% had one, 18% had two, 8% had three, and 2% had four indicators. Player position did not affect the prevalence of REDs indicators. Among noncontraceptive users (n = 27), secondary amenorrhea (AME) was reported by 30%. These findings indicate that health and performance teams should prioritize universal health promoting strategies rather than selective or indicative strategies. Particularly, focus on nutritional periodization to secure sufficient energy availability, mitigating the risk of problematic LEA and REDs should be addressed.