bluuebunny/crossref_metadata_2025_split huggingface dataset:
Four‐party evolutionary game analysis of geographical indication product quality control issues with network media‐assisted supervision
Authors: Peng Xue , Chen Lianghua , Chi Yingying , Li Wan , Zhou Yiqiang 
Published: June 2024

AbstractThis study focuses on addressing quality supervision issues related to opportunistic behavior within the geographical indication product supply chain. It constructs an evolutionary game model comprising suppliers, distributors, government, and network media. Through analysis, it examines the influence of key factors on the decision‐making dynamics of game participants and presents management suggestions accordingly. The findings are as follows: firstly, the dual supervision model with the assistance of network media can compensate for the regulatory gaps of the government's single supervision model. Secondly, the credibility of network media plays a pivotal role in determining the efficacy of public opinion supervision. With high credibility, measures such as increasing the synergy coefficient, imposing higher fines or compensation amounts, and enhancing the impact of reputational factors can all restrain the misconduct of operating entities. Conversely, when credibility is low, not only does the supervisory function of network media falter, but it also leads to reputational damage for both the operating entities and the government. Thirdly, differentiated management should be adopted for entities in different nodes of the supply chain; higher constraint intensity should be imposed on distributors compared to suppliers. The outcomes of this study provide some analytical paths for supply chain quality supervision and corporate behavior management and underscore the significance of collaborative regulation for sustainable industry practices.
Diagnostic accuracy of ultrasound and MR imaging in peroneal neuropathy: A prospective, single‐center study
Authors: Oosterbos Christophe , Weerdt Olaf De , Lembrechts Matthias , Radwan Ahmed , Brys Peter , Brusselmans Marius , Bogaerts Kris , Peeters Ronald , Van Hoylandt Anaïs , Hoornaert Sophie , Lemmens Robin , Theys Tom 
Published: June 2024

AbstractIntroduction/AimsMagnetic resonance imaging (MRI) findings in peroneal neuropathy are not well documented and the prognostic value of imaging remains uncertain. Upper limits of cross‐sectional area (CSA) on ultrasound (US) have been established, but uncertainty regarding generalizability remains. We aimed to describe MRI findings of the peroneal nerve in patients and healthy controls and to compare these results to US findings and clinical characteristics.MethodsWe prospectively included patients with foot drop and electrodiagnostically confirmed peroneal neuropathy, and performed clinical follow‐up, US and MRI of both peroneal nerves. We compared MRI findings to healthy controls. Two radiologists evaluated MRI features in an exploratory analysis after images were anonymized and randomized.ResultsTwenty‐two patients and 38 healthy controls were included. Whereas significant increased MRI CSA values were documented in patients (mean CSA 20 mm2 vs. 13 mm2 in healthy controls), intra‐ and interobserver variability was substantial (variability of, respectively, 7 and 9 mm2 around the mean in 95% of repeated measurements). A pathological T2 hyperintense signal of the nerve was found in 52.6% of patients (50% interobserver agreement). Increased CSA measurements (MRI/US), pathological T2 hyperintensity of the nerve and muscle edema were not predictive for recovery.DiscussionImaging is recommended in all patients with peroneal neuropathy to exclude compressive intrinsic and extrinsic masses but we do not advise routine MRI for diagnosis or prediction of outcome in patients with peroneal neuropathy due to high observer variability. Further studies should aim at reducing MRI observer variability potentially by semi‐automation.
Route use of emigrating steelhead in a heavily modified river delta
Authors: Buchanan Rebecca A. 
Published: June 2024

Abstract

Objective
Low survival of emigrating salmonid smolts through the interior regions of California's Sacramento–San Joaquin River Delta (hereafter, “Delta”) and large-scale water extraction from that region have prompted managers to seek to predict and manipulate smolt route use through the tidal Delta. The local flow variables previously used in modeling are not the metrics used in management. Here, I investigate the predictive utility of variables representing both localized flow conditions and remote management metrics to predict routing of juvenile steelhead Oncorhynchus mykiss at two river junctions on the San Joaquin River in the south Delta.

Methods
Individual-based generalized linear models were used with detections of over 4000 acoustic-tagged juvenile hatchery-reared steelhead to relate routing to the presence of a rock barrier, simulated localized flow conditions from a hydrodynamic model, and daily management metrics, including upstream river discharge and water pumping rates elsewhere in the Delta. Models were developed for the first two diffluences encountered by smolts entering the Delta (head of Old River and Turner Cut).

Result
Exclusive use of the management metrics in routing models underestimated the subdaily, tidally dominated fluctuations in fish routing compared to localized flow covariates. The daily rate of water extraction 20–30 km away contributed to use of non-main-stem routes, but the effect was small compared to subhourly flow conditions at the river junctions themselves.

Conclusion
Water resource and fish managers are advised to monitor conditions at the locations of interest rather than depending solely on remote metrics. In the Delta, use of a flow barrier and reduction of water pumping operations when smolts are migrating should be combined with habitat improvement in interior Delta regions to optimize migratory survival through this complex and heavily modified system.
Exploration of Molecularly Imprinted Polymer Incorporated with Plant Capped Silver Nanoparticles for the Removal of Pharmaceuticals in Wastewater
Authors: Nxumalo Nonhlazeko , Mahlambi Precious , Mahlambi Mphilisi , Mngadi Sihle , Chokwe Tlou 
Published: June 2024

ABSTRACTThe ineffectiveness of traditional wastewater treatment procedures to completely remove them results in their release into the environment. There is a pressing need to remove pharmaceuticals effectively using different methods. Using affordable technologies while maintaining standards for health and safety is one of the main problems in the wastewater treatment industry. In this study, a cost effective and highly selective molecularly imprinted polymers (MIPs) was combined with silver nanoparticles (AgNPs) capped with platanus acerifolia (PL) and moringa oleifera (MO) for selective removal of sulfamethoxazole, nevirapine and ibuprofen in wastewater. Moreover, the study focused on adsorption parameters, including temperature, pH, adsorbent dosage, adsorbate concentration, and contact time. The transmission electron microscopy revealed that MO/PL‐AgNPs and MO/PL‐nanoMIPs are nanosized and spherical. XRD confirmed the formation of AgNPs onto MO/PL‐AgNPs and MO/PL‐nanoMIPs surface. Adsorption isotherms for MO/PL‐AgNPs and MO/PL‐nanoMIPs fitted with the linear Langmuir model. However, high Qmax values were obtained for MO/PL‐nanoMIPs compared to MO/PL‐AgNPs. The linear pseudosecond order second‐order kinetic model best fitted on MO/PL‐nanoMIPs, while the thermodynamics revealed that the adsorption process was spontaneous and endothermic. The findings revealed for the first time the high efficiency of MO/PL‐nanoMIPs to remove the selected target pharmaceuticals in wastewater.
The urinary and prostatic microbiome in non‐neurogenic male LUTS/BPH: A systematic review
Authors: Pina‐Vaz Teresa , Silva Alberto C. , Silva Carlos , Miranda Isabel , Cruz Francisco , Silva João A. 
Published: June 2024

AbstractIntroductionDespite advancements in the treatment of benign prostatic hyperplasia (BPH), the mechanisms underlying BPH development and progression remain elusive and lacks a one‐size‐fits‐all therapeutic solution. Prostatic inflammation contributes to BPH and lower urinary tract symptoms (LUTS), but the initial trigger remains unknown. Current research suggests dysbiosis of the urinary microbiome as a potential culprit. This systematic review explores the emerging field of the male urinary and prostatic microbiome and its relationship with BPH/LUTS.MethodsThe Preferred Reporting Items for Systematic Reviews and Meta‐Analyses guidelines were followed. A systematic search in the Pubmed and Scopus databases was performed using specific terms. Inclusion criteria considered male non‐neurogenic patients with LUTS due to BPH with analyses of urinary microbiome, concerning evaluation of English‐language publications with relevance.ResultsAmong seven articles involving 542 patients, there was an association between male LUTS/BPH and the urinary microbiome. Findings indicate a correlation between urinary microbiome dysbiosis and LUTS severity, with specific bacterial genera such as Streptococcus and Haemophilus linked to higher International Prostate Symptom Score (IPSS) scores and PSA levels. The fecal microbiome may be associated with LUTS, although contradictory findings are reported. The review also highlights methodological inconsistencies, small sample sizes, few negative controls and a lack of comprehensive clinical data as major limitations.ConclusionsWhile there is an undeniable correlation between the microbiome and LUTS/BPH, future research should aim to standardize sampling techniques and expand the score to include functional microbiome characterization, potentially leading to novel, microbiome‐targeted therapeutic strategies for BPH.
Stakeholder perspectives on government subsidy programs: Trade‐in subsidy, consumption subsidy, or mixed subsidy?
Authors: Tang Fei , Ma Zu‐Jun , Dai Ying , Choi Tsan‐Ming 
Published: June 2024

AbstractMany governments worldwide offer various types of consumer‐specific subsidy programs, such as a trade‐in subsidy (TS) program that targets existing consumers only, a consumption subsidy (CS) program that covers both new and existing consumers with undifferentiated subsidy levels, or a mixed subsidy (MS) program that targets the two consumer segments with differentiated subsidy levels. However, which program is more beneficial to social welfare and other stakeholders is largely unknown. In this paper, we establish a game‐theoretic model to explore the impacts of these subsidy programs on different stakeholders (i.e., the firm, consumers, the environment, and social welfare). Interestingly, we uncover that the TS and MS programs have equal effectiveness in stimulating demand (collecting old products) from existing consumers, whereas the CS and MS programs have relative advantages in expanding the total demand from both new and existing consumers. We further find that (i) when product durability is low, the flexible MS scheme can lead to a quadruple‐win for all stakeholders, (ii) when product durability is moderate, the MS scheme is better for social welfare and the environment, whereas the CS scheme benefits the firm and consumers more, and (iii) when product durability is high, the MS scheme can achieve a triple‐win for the firm, consumers, and social welfare, whereas the CS scheme is better for the environment. Moreover, we identify the differential impacts of each program on different stakeholders when considering that the earmarked subsidy is limited and a secondary market exists. Our findings not only shed light on why the TS, CS, and MS programs are all likely to be adopted in practice but also provide helpful guidelines for governments aiming to offer a more effective subsidy program.
Sleep and home parenteral nutrition in adults: A narrative review
Authors: Dashti Hassan S. 
Published: June 2024

AbstractInfusions of home parenteral nutrition (HPN) are often cycled at night coinciding with sleep episodes. Adult consumers of HPN are known to experience poor sleep attributed to frequent awakenings and long durations of wakefulness after falling asleep. Consequently, most consumers do not meet recommendations for sleep duration and quality or daytime napping. The primary underlying pathophysiology resulting in sleep problems is nocturia; however, other factors also exist, including disruptions caused by medical equipment (ie, pump alarms), comorbid conditions, dysglycemia, and medication use. Early guidance on sleep is imperative because of the central role of sleep in physical health and wellbeing, including mitigating complications, such as infection risk, gastrointestinal problems, pain sensitivity, and fatigue. Clinicians should routinely inquire about the sleep of their patients and address factors known to perturb sleep. Nonpharmacologic opportunities to mitigate sleep problems include education on healthy sleep practices (ie, sleep hygiene); changes in infusion schedules, volumes, rates, and equipment; and, possibly, behavioral interventions, which have yet to be examined in this population. Addressing comorbid conditions, such as mood disorders, and nutrition deficiencies may also help. Pharmacologic interventions and technological advancement in HPN delivery are also needed. Research on sleep in this population is considered a priority, yet it remains limited at this time.
Mass‐lumping discretization and solvers for distributed elliptic optimal control problems
Authors: Langer Ulrich , Löscher Richard , Steinbach Olaf , Yang Huidong 
Published: June 2024

AbstractThe purpose of this article is to investigate the effects of the use of mass‐lumping in the finite element discretization with mesh size of the reduced first‐order optimality system arising from a standard tracking‐type, distributed elliptic optimal control problem with regularization, involving a regularization (cost) parameter on which the solution depends. We show that mass‐lumping will not affect the error between the desired state and the computed finite element state , but will lead to a Schur‐complement system that allows for a fast matrix‐by‐vector multiplication. We show that the use of the Schur‐complement preconditioned conjugate gradient method in a nested iteration setting leads to an asymptotically optimal solver with respect to the complexity. While the proposed approach is applicable independently of the regularity of the given target, our particular interest is in discontinuous desired states that do not belong to the state space. However, the corresponding control belongs to whereas the cost as . This motivates to use in order to balance the error and the maximal costs we are willing to accept. This can be embedded into a nested iteration process on a sequence of refined finite element meshes in order to control the error and the cost simultaneously.
Perimortem cranial injury in the Bronze Age. A blunt object to the right parietal caused trauma in a preadolescent individual from Mokarta (Salemi‐Sicily)
Authors: Lauria Gabriele , Miccichè Roberto , Sineo Luca 
Published: June 2024

AbstractSicilian protohistory was characterized by a progressive flow of indigenous populations towards the hills of the western Sicilian hinterland. Especially during the Late Bronze Age and the Iron Age, the island's hinterland was marked by isolated settlements due to Siculi, Ausoni, Morgeti, and Elimi invasions and Phoenician and Greek colonization. In this scenario, Mokarta is an example of territorial autonomy and ethnic isolation (Sicanian) within an area of Elimi colonization. Its demise in the 11th century B.C.E, presumably at the hands of the Elimi, was rapid and violent as the settlement was suddenly abandoned following its destruction by fire. Symbolic of this event is an individual found at the entrance of a burned and collapsed hut who appears to have died from a cranial injury. This paper focuses on the osteological analysis of this skeleton, highlighting the perimortem injury, related to his death, and places the results within a forensic archeological context. The morphological pattern of the lesion is the result of a high‐energy impact by a circular blunt object. The fracture, involving both the meningeal vessels and the brain, could have led to a fatal neurological trauma. The analysis of the cranial fracture and an anatomical evaluation of the affected area led us to conclude that the perimortem injury, inflicted on the right parietal, probably was the cause of death. The case proposed highlights how an integrated approach based on bioarcheology and forensic anthropology helps in interpreting an archeological scenario and formulating hypotheses about the circumstances of an individual's death.
Time‐dependent changes in feeding behavior and energy balance associated with weight gain in mice fed obesogenic diets
Authors: Fathi Payam A. , Bales Michelle B. , Ayala Julio E. 
Published: June 2024

AbstractObjectiveObesity is characterized by dysregulated homeostatic mechanisms resulting in positive energy balance; however, when this dysregulation occurs is unknown. We assessed the time course of alterations to behaviors promoting weight gain in male and female mice switched to an obesogenic high‐fat diet (HFD).MethodsMale and female C57BL/6J mice were housed in metabolic chambers and were switched from chow to a 60% or 45% HFD for 4 and 3 weeks, respectively. Food intake, meal patterns, energy expenditure (EE), and body weight were continuously measured. A separate cohort of male mice was switched from chow to a 60% HFD and was given access to locked or unlocked running wheels.ResultsSwitching mice to obesogenic diets promotes transient bouts of hyperphagia during the first 2 weeks followed by persistent caloric hyperphagia. EE increases but not sufficiently enough to offset increased caloric intake, resulting in a sustained net positive energy balance. Hyperphagia is associated with consumption of calorically larger meals (impaired satiation) more frequently (impaired satiety), particularly during the light cycle. Running wheel exercise delays weight gain in male mice fed a 60% HFD by enhancing satiation and increasing EE. However, exercise effects on satiation are no longer apparent after 2 weeks, coinciding with weight gain.ConclusionsExposure to obesogenic diets engages homeostatic regulatory mechanisms for ~2 weeks that ultimately fail, and consequent weight gain is characterized by impaired satiation and satiety. Insights into the etiology of obesity can be obtained by investigating changes to satiation and satiety mechanisms during the initial ~2 weeks of HFD exposure.
Linking negative cognitive bias to short‐form video addiction: The mediating roles of social support and loneliness
Authors: Yue Heng , Yang Guang , Bao Hugejiletu , Bao Xinzhe , Zhang Xuemin 
Published: June 2024

AbstractAlthough the relationships between some antecedents (such as affective disorders and negative emotions) and short‐form video addiction have been verified by previous studies, the association between negative cognitive bias and this addictive behavior has not been examined, and the underlying psychological mechanisms are still unclear. The present study explored the relationship between negative cognitive bias and short‐form video addiction as well as the mediating roles of social support and loneliness in this association. The participants of the current study included 336 university students (197 females). The findings showed that (1) negative cognitive bias was positively correlated with short‐form video addiction; (2) social support and loneliness separately mediated the relationship between negative cognitive bias and short‐form video addiction; and (3) social support and loneliness sequentially mediated the relationship between negative cognitive bias and short‐form video addiction. These results might be helpful for understanding the relationships and the underlying psychological mechanisms between these study variables. Future studies were encouraged to investigate effective intervention approaches for relieving negative cognitive bias, which might be conducive to decreasing the severity of short‐form video addiction.
Development of a bio‐based self‐healing waterborne polyurethane with dynamic phenol‐carbamate network for enhanced antimicrobial and antiseptic performance
Authors: Wang Yuan , Yu Zaixi , Zhang Pingbo , Wang Yunting , Chang Zhan , Jiang Pingping , Xia Jialiang , Gao Xuewen , Bao Yanmin 
Published: June 2024

AbstractOne of the major challenges in expanding the uses of polymer materials is the development of thermally driven, multifunctional, self‐healing water polyurethanes with superior mechanical properties. By adding nano‐inorganic fillers and incorporating phenol‐carbamate bonds into the molecular chains, a self‐healing waterborne polyurethane with strong mechanical properties as well as antibacterial, and antiseptic properties was created. Given that tannic acid (TA) can create an isocyanate‐group‐containing phenol‐carbamate network, the resulting TA‐based water polyurethane (TWPU) had great mechanical properties and superior thermal stability with tensile strength of 31.9 MPa and elongation at break of 1406.4%. The amount of dynamic phenol‐urethane linkages in the polyurethane backbone can also be adjusted and controlled to achieve excellent self‐healing efficiency. The coating's anti‐corrosion properties were good when the waterborne polyurethane was added to ZnO modified GO. Furthermore, the coating exhibited strong antibacterial capabilities due to the incorporation of nano‐zinc oxide. In this study, we create an environmentally friendly waterborne polyurethane that is antibacterial, antiseptic, and self‐healing using a straightforward and efficient design approach.
Quantifying leaf symptoms of sorghum charcoal rot in images of field‐grown plants using deep neural networks
Authors: Gonzalez Emmanuel M. , Zarei Ariyan , Calleja Sebastian , Christenson Clay , Rozzi Bruno , Demieville Jeffrey , Hu Jiahuai , Eveland Andrea L. , Dilkes Brian , Barnard Kobus , Lyons Eric , Pauli Duke 
Published: June 2024

AbstractCharcoal rot of sorghum (CRS) is a significant disease affecting sorghum crops, with limited genetic resistance available. The causative agent, Macrophomina phaseolina (Tassi) Goid, is a highly destructive fungal pathogen that targets over 500 plant species globally, including essential staple crops. Utilizing field image data for precise detection and quantification of CRS could greatly assist in the prompt identification and management of affected fields and thereby reduce yield losses. The objective of this work was to implement various machine learning algorithms to evaluate their ability to accurately detect and quantify CRS in red‐green‐blue images of sorghum plants exhibiting symptoms of infection. EfficientNet‐B3 and a fully convolutional network emerged as the top‐performing models for image classification and segmentation tasks, respectively. Among the classification models evaluated, EfficientNet‐B3 demonstrated superior performance, achieving an accuracy of 86.97%, a recall rate of 0.71, and an F1 score of 0.73. Of the segmentation models tested, FCN proved to be the most effective, exhibiting a validation accuracy of 97.76%, a recall rate of 0.68, and an F1 score of 0.66. As the size of the image patches increased, both models’ validation scores increased linearly, and their inference time decreased exponentially. This trend could be attributed to larger patches containing more information, improving model performance, and fewer patches reducing the computational load, thus decreasing inference time. The models, in addition to being immediately useful for breeders and growers of sorghum, advance the domain of automated plant phenotyping and may serve as a foundation for drone‐based or other automated field phenotyping efforts. Additionally, the models presented herein can be accessed through a web‐based application where users can easily analyze their own images.