bluuebunny/crossref_metadata_2025_split huggingface dataset:
Attribute non-attendance in choosing the bike as a transport mode in Belgium
Authors: Jandari Abolghassem , Meulders Michel , Desplenter Saskia , Vandebroek Martina 
Published: October 2023

Cycling is an important pillar of the global endeavor to have a more sustainable transportation system. Many papers have studied how trip and person characteristics affect selecting the bike as a transport mode but unlike other researchers, we model the probability of cycling using a binary item response model where the choice is modelled as a trade-off between the individuals' tendency to cycle and the threshold related to each cycling situation. We distinguish between frequent and occasional cyclists. The results show that occasional cyclists are more affected by adverse weather situations, darkness, and uphill slopes. Contrary to the previous studies, a separate bike path turned out a stronger motivator for the group of frequent cyclists. The model fit can substantially be improved by accounting for attribute non-attendance. The results show that weather and wind speed have the highest probability to be taken into account, and the bike path had the lowest probability of being considered by the respondents. Employing the attribute non-attendance model made it possible to make accurate and trustworthy conclusions about the attributes by focusing on the people who take into account the attributes. More specifically, it was found that the presence of a separate bike path and a 100% asphalt route can increase the average probability of taking the bike by up to 55 and 40 percentage points, respectively.
structural equations approach for modeling the endogeneity of lane-mean speeds considering the downstream speeds
Authors: Lu Qing-Long 
Published: October 2023

Like other transportation data, lane-mean speeds are also best modeled by a system of structural equations. Several studies omit the interrelation between adjacent lane speeds, which may produce biased and inconsistent results if models are solved by ordinary least squares. The uncorrelatedness of regressors and disturbances assumption of ordinary least squares is violated since one or more independent variables are endogenous in the system. This study attempts to propose a structural equations approach to model the lane-mean speeds in multi-lane traffic, in which the endogeneity of adjacent lane speeds and the downstream speeds are being considered. Additionally, the equations system can serve as a prediction model for lane-mean speeds. Several empirical analyses using the data collected from multi-lane freeways with different lengths and different numbers of lanes are conducted to observe the performance of the equations system in different conditions. The study further compares the prediction accuracy between the underlying approach and the model established by Shankar and Mannering (1998) for assessing the impact of introducing downstream speeds within the model. The findings show that more precise results are obtained generally after downstream speeds are included, emphasizing the improvements and superiority of this approach.
A better tomorrow: towards human-oriented, sustainable transportation systems
Authors: Antoniou Constantinos , Chaniotakis Emmanouil , Katrakazas Christos , Tirachini Alejandro 
Published: October 2023

In a rapidly changing world, transportation is a big determinant of quality of life, financial growth and progress. New challenges (such as the emergence of the COVID-19 pandemic) and opportunities (such as the three revolutions of shared, electric and automated mobility) are expected to drastically change the future mobility landscape. Researchers, policy makers and practitioners are working hard to prepare for and shape the future of mobility that will maximize benefits. Adopting a human perspective as a guiding principle in this endeavor is expected to help prioritize the “right” needs as requirements. In this special issue, eight research papers outline ways in which transportation research can contribute to a better tomorrow. In this editorial, we position the research within the state-of-the-art, identify the needs for future research, and then outline how the included contributions fit in this puzzle. Naturally, the problem of sustainable future transportation systems is way too complicated to be covered with a single special issue. We thus conclude this editorial with a discussion about open questions and future research topics.
Cosmic Kidney Disease: The Effects of Spaceflight and Galactic Cosmic Radiation on Renal Structure and Function
Authors: Walsh Stephen , Siew Keith , Afsari Fatemeh , Al-Jaber Maneera , Allen Noah , Al-Maadheed Mohammed , Altinok Selin , Arif Shehbeel , Bah Nourdine , Baranzini Sergio , Barker Peter , Beheshti Afshin , Blaber Elizabeth , Border Samuel , Boyko Valery , Broni-Tabi Jessica , Burling Keith , Campbell Robert , Cheng-Campbell Margareth , Cheshire Chris , Colon Lorianna , Costes Sylvain , Cubitt Laura , D'Ambrosio Viola , Degoricija Lovorka , Eisch Amelia , Fazelinia Hossein , Figg Nichola , Finch Rebecca , Foox Jonathan , French Alison , Galazka Jonathan , Gebre Samrawit , Gordon Peter , Grillo Alessandra , Houerbi Nadia , Kahrood Hossein , Karouia Fathi , Kiffer Frederico , Kim JangKeun , Klosinska Aleksandra , Kubik Angela , Lee Han-Chung , Li Yinghui , Li Zhongwang , Lucarelli Nicholas , Lynham Steven , Marullo Anthony , Mason Christopher , Matei Irina , Meydan Cem , Mimar Sayat , Mohamed-Ali Vidya , Muratani Masafumi , Naglah Ahmed , Nelson Charlotte , Nestler Kevin , Nicod Jerome , O'Shaughnessy Kevin , De Oliveira Lorraine Christine , Oswalt Leah , Overbey Eliah , Patel Vaksha , Patras Laura Ioana , Polo San-huei , Rodríguez-Lopez María , Rodriques Samuel , Roufosse Candice , Sadeghi-Alavijeh Omid , Sanchez-Hodge Rebekah , Sanders Lauren , Sankar Anindya , Sarder Pinaki , Schisler Jonathan , Schittenhelm Ralf , Schweickart Annalise , Scott Ryan , Shiba Dai , Sian Terry Lim Kam , Silveira Willian , Slawinski Hubert , Smith Scott , Snell Daniel , Sosa Julio , Steele Joel , Tabetah Marshall , Tanuwidjaya Erwin , Uruno Akira , Vaughan Michael , Walker-Samuel Simon , Wan Elizabeth , Yamamoto Masayuki , Yang Xiaoping , Yasmin Yasmin , Yun Sanghee , Zhang Haijian , Dai Zhongquan , Zimmermann Jasminka , Zwart Sara , A.C.Almeida Eduardo , Zhong Chutong 
Published: October 2023

Abstract

Missions into Deep Space are planned this decade. Yet the health consequences of exposure to microgravity and galactic cosmic radiation (GCR) over years-long missions on indispensable visceral organs such as the kidney are largely unexplored.

We performed biomolecular (epigenomic, transcriptomic, proteomic, epiproteomic, metabolomic, metagenomic), clinical chemistry (electrolytes, endocrinology, biochemistry) and morphometry (histology, 3D imaging, miRNA-ISH, tissue weights) analyses using samples and datasets available from 11 spaceflight-exposed mouse and 5 human, 1 simulated microgravity rat and 4 simulated GCR-exposed mouse missions.

We found that spaceflight induces: 1) renal transporter dephosphorylation which may indicate astronauts’ increased risk of nephrolithiasis is in part a primary renal phenomenon rather than solely a secondary consequence of bone loss; 2) remodelling of the nephron that results in expansion of distal convoluted tubule size but loss of overall tubule density; 3) renal damage and dysfunction when exposed to a Mars roundtrip dose-equivalent of simulated GCR.
Analytical and Fractional Model for Power Transmission of Lossy Transmission Line
Authors: Abro Kashif Ali , Soomro Amir Mahmood , Larik Abdul Sattar 
Published: October 2023

Abstract
A lossy transmission line can draw current from DC source if DC voltage is applied to constant resistance that’s why surge impedance become uniform on lossy transmission line. This manuscript proposes the analytical and fractional modeling of lossy transmission line based on partial differential equations by employing Kirchoff’s current and voltage laws via Fourier analysis. The governing equation of lossy transmission line is fractionalized by means of modern fractional differential operators. The optimal solution of voltage is investigated by means of Fourier sine and Laplace transforms subject to the imposed conditions. The investigated solutions of voltage over the transmission line have been established in terms of exponential and gamma functions. The comparative analysis of voltage over the transmission line through Caputo-Fabrizio and Atangana-Baleanu fractional operators have been presented for line losses on the conductance, resistance and inductance for the confirmation of the principle of electric power transmission.
A Study of Obesity and Financial Stress in Workers in the United States: Findings from the NHIS 2021A Study of Obesity and Financial Stress in Workers in the United States: Findings from the NHIS 2021
Authors: Weissman Judith , Rogol Naomi , Jay Melanie , Taylor John 
Published: October 2023

Abstract

Purpose
This cross-sectional study examined the relationship between indicators of workplace financial stress and obesity among working adults.
Methods
Respondents were sampled from the 2021 National Health Interview Survey. Adults were included if they worked in the last week were between 18 to 65 years (n = 14, 976). A multivariable model predicted having obesity using the following the independent variables: working full time, defined as working 35 hours per week or more, working while sick, perceived likelihood of job loss, food insecurity and sociodemographic characteristics. The multivariable model was based on bivariate analyses comparing these variables, and serious psychological distress to having obesity and the number of chronic health conditions.
Results
At the bivariate level 6.5% of full-time workers had food insecurity, and 9.1% perceived they were fairly or somewhat likely to lose their job and 45% with obesity had serious psychological distress. In a multivariable model, there was a positive association between obesity and full-time employment (AOR = 1.5 CI = 1.3, 1.7), workers perceptions of being fairly or somewhat likely to lose their job (AOR = 1.2 CI = 1.0, 1.4), and obesity and food insecurity (AOR = 1.2 CI = 1.0, 1.4) after adjusting for sociodemographic characteristics.
Conclusions
Working adults with obesity likely work full time, have serious psychological distress, and perceive a likely job loss. Despite working full time, many adults experienced food insecurity.
Interactive Decision Tree based Fuzzy-Proportional Integral Derivative Controller for Reactive Power Compensation using STATCOM for Non-linear Loads
Authors: S Rajendran , A Muthu Kumar , S kannan 
Published: October 2023

Abstract
The STATCOM is extensively used in the power system to address the voltage sag and other power quality issues that arises due to the inductive and nonlinear loads. The STATCOM uses a power electronics system with a voltage and current controller to actively compensate the reactive power requirements of the load. The STATCOM’s performance depends on the underlying controller operation. Consequently, controllers that can handle sudden load changes and disturbances optimally with faster response is desired. For this purpose, this investigation presents a controller design that handles nonlinear load and ensures optimal operation. The proposed controller consists of a fuzzy-PID controller that is capable of handling non-linear dynamics and sudden changes in the load. In order to tune parameters, the bio-geography based optimization method used to determine the fuzzy-PID controller parameters that minimizes the integral absolute error of the controller. Furthermore, a single objective function is formulated on top of the fuzzy-PID controller. It consists of importance weighted performance metrics such as integral squared error and integral absolute errors of the voltage and current controllers, respectively. The significance weights are determined by interactive decision tree technique to detect weaker metrics and improve their influence in the control scenarios. The algorithm terminates once all the metrics are tuned to satisfaction with operator’s consent. The proposed IDT based fuzzy PID controller is tested on a power system containing nonlinear load, and its performance is compared with existing controller. The proposed controller improves the reactive power compensation offered by the STATCOM significantly.
Neuroprotective activity of chlorogenic acid from Brazilian Arnica in rodents subjected to status epilepticus induced by lithium-pilocarpine
Authors: Carreño-González Alberth Jonathan , Liberato José Luiz , Celani Marcus Vinicius , Lopes Norberto Peporine , Lopes João Luís Callegari , Neto Leonardo Gobbo , Fontana Andreia C. K. , Santos Wagner Ferreira dos 
Published: October 2023

Abstract
In this study, we evaluated the neuroprotective properties and antioxidant effects of chlorogenic acid (CGA) in Wistar rats subjected to Status Epilepticus (SE) model using lithium-pilocarpine. After 72 h induction of SE, brains were collected and studied histologically for viable cells in the hippocampus with staining for cresyl-violet (Nissl staining), and for degenerating cells with Fluoro-Jade C (FJC) staining. Additionally, to evaluate oxidative stress, the presence of malondialdehyde (MDA), the final product of lipid peroxidation, and superoxide dismutase (SOD), the enzyme responsible for the conversion of superoxide anion radicals, were quantified using the Indole and the Pyrogallol methods, respectively.
Animals administered with CGA (30 mg/kg) demonstrated a significant decrease of 59% in the number of hippocampal cell loss in the CA3, and of 48% in the hilus layers after SE. A significant reduction of 75% in the cell loss in the CA3, shown by FJC+ staining, was also observed with the administration of CGA (30 mg/Kg). Furthermore, significant decreases of 49% in MDA production and 72% in the activity of SOD were seen, when compared to animals subjected to SE that received vehicle. This study suggests that CGA administration results in an effective inhibition of the proliferation of oxidizing agents that can initiate cellular death, in the lithium-pilocarpine Status Epilepticus (SE) rat epilepsy model.
Engineering of extracellular vesicles for efficient intracellular delivery of multimodal therapeutics including genome editors
Authors: Liang Xiuming , Gupta Dhanu , Xie Junhua , Wonterghem Elien , Hoecke Lien , Hean Justin , Niu Zheyu , Wiklander Oscar , Zheng Wenyi , Wiklander Rim , He Rui , Mammad Doste , Bost Jeremy , Zhou Guannan , Zhou Houze , Roudi Samantha , Zickler Antje , Gorgens Andre , Hagey Daniel , de Jong Olivier G , Uy Aileen , Zong Yuanyuan , Mager Imre , Perez Carla , Roberts Thomas , Vader Pieter , Fougerolles Antonin , Wood Matthew , Vandenbroucke Roosmarijn , Nordin Joel , El-Andaloussi Samir 
Published: October 2023

Abstract
Intracellular delivery of protein and RNA therapeutics represents a major challenge. Here, we developed highly potent engineered extracellular vesicles (EVs) by incorporating essential bio-inspired attributes required for effective delivery. These comprise engineered mini-intein proteins with self-cleavage activity for active cargo loading and release, and fusogenic VSV-G protein to activate productive endosomal escape. Combining these components allowed high efficiency recombination and genome editing in vitrofollowing EV-mediated delivery of Cre recombinase and Cas9/sgRNA RNP cargoes, respectively. In vivo, single dose EV-mediated Cre delivery to the brains of Cre-LoxP R26-LSL-tdTomato reporter mice resulted in greater than 40% and 30% recombined cells in hippocampus and cortex respectively. In addition, we demonstrate therapeutic potential of this platform by showing inhibition of LPS-induced systemic inflammation via delivery of a super-repressor of NF-ĸB activity. Our data establish these engineered EVs as a novel platform for effective delivery of multimodal therapeutic cargoes, including for efficient genome editing.
A case report on Para-kala-azar dermal leishmaniasis: an unresolved mystery
Authors: Hasan Md. Mehedi , Proma Sanghita Banik , Hossain Saddam , Arifuzzaman Md. , Islam Naylla , Sidduque Abu Bakar , - Amiruzzaman 
Published: October 2023

Abstract
BACKGROUND:
Post-kala-azar dermal leishmaniasis (PKDL) is a dermatosis that occurs 2-3 years after an apparently successful treatment of visceral leishmaniasis (VL). In rare cases, PKDL occurs concurrently with VL and is characterized by fever, splenomegaly, hepatomegaly or lymphadenopathy, and poor nutritional status and is known as Para-kala-azar dermal leishmaniasis (Para-KDL). Co-association of active VL in PKDL patients is documented in Africa, but very few case reports are found in South Asia.
CASE SUMMARY:
We present a case of Para-kala-azar Dermal Leishmaniasis (Para-KDL) in a 50-year-old male patient with a history of one primary Visceral Leishmaniasis (VL) and 2 times relapse of Visceral Leishmaniasis (VL). The patient presented with fever, skin lesions, and hepatosplenomegaly. Laboratory tests revealed LD bodies in the slit skin smear and splenic biopsy. The patient was treated with two cycles of Amphotericin B with Miltefosine in between cycles for 12 weeks to obtain full recovery.
CONCLUSION:
This case report serves as a reminder that Para-kala-azar dermal leishmaniasis can develop as a consequence of prior visceral leishmaniasis episodes, even after apparently effective therapy. Since para-kala-azar is a source of infectious spread, endemics cannot be avoided unless it is effectively recognized and treated.
First real-world time-travel experiment shows ecosystem collapse due to climate change
Authors: Li Guandong , Tornqvist Torbjorn , Dangendorf Sönke 
Published: October 2023

Abstract
Climate impacts throughout the 21st century are multifaceted and include heat stress, water scarcity, flood risk, and a threat to biodiversity and ecosystems. Predicting these impacts has been challenging, even if the trajectory of climate change is precisely known. To date, recourse has commonly been taken to modeling and paleoclimate studies, but these approaches have significant limitations. Here we examine coastal ecosystem change during 12 years of unusually rapid, albeit likely temporary, sea-level rise (> 10 mm yr− 1) in the Gulf of Mexico. Such rates, which may become a persistent feature in the future due to anthropogenic climate change, drove rising water levels of similar magnitude in coastal Louisiana and thus affected the ~ 15,000 km2 of coastal wetlands in this region. Measurements of surface-elevation change at 253 monitoring sites show that 87% of these sites are unable to keep up with rising water levels. We find no evidence for enhanced wetland elevation gain through ecogeomorphic feedbacks, where more frequent inundation would lead to enhanced biomass accumulation that could counterbalance rising water levels. We attribute this to the exceptionally rapid sea-level rise during this time period. Under the current climate trajectory (SSP2-4.5), drowning of ~ 75% of Louisiana’s coastal wetlands is a plausible outcome by 2070.
A New Lifetime Model: Statistical Properties and Applications
Authors: Singh Pawan Kumar , Pandey Arvind , Mahto Amulya Kumar , Mutairi Aned Al , Nassr Said G. , Mustafa Manahil SidAhmed , Mekiso Getachew Tekle 
Published: October 2023

Abstract
In this paper, we introduce a new lifetime distribution. Characteristics and statistical properties are obtained, such as stress strength reliability, moments, entropy, and order statistics. Moreover, the estimation of the parameter of the proposed distribution for the complete sample are discussed using different estimation methods like percentiles, least squares estimation, weighted least squares estimation, maximum likelihood estimation, and Cramer-von-mises estimations and compared them using Monte Carlo simulation study. The model parameter is obtained under hybrid censoring based on the censored sample. The actuarial measures are calculated for our model and the result is compared with the risk of the exponential distribution. Finally, an application of two real data sets is used to illustrate the proposed model.
Decomposing dynamical subprocesses for compositional generalization
Authors: Luettgau Lennart , Erdmann Tore , Veselic Sebastijan , Stachenfeld Kimberly , Moran Rani , Kurth-Nelson Zeb , Dolan Raymond 
Published: October 2023

Abstract
Our experiences of the world usually reflect the interaction of multiple dynamical subprocesses. For example, clothes' appearance follows a complicated trajectory that is composed of factors such as becoming dirtier with wear and the colors fading slowly over time. In principle, decomposing these subprocesses can enhance learning efficiency, reduce memory requirements, and facilitate compositional reuse in new environments. This is because identical subprocesses can appear in other contexts, for example, discovering that colors in printed photographs also fade over time. Here, we combined a novel sequence learning task with computational modeling to test whether humans (N = 238) extract subprocesses from their holistic experiences, abstract these away from mere sensory experience, and efficiently recompose this knowledge to solve new problems. In a prior learning phase, two groups of participants were each exposed to sequences of compound images drawn from the product space of two graphs: G1 and G2 for group 1, G3 and G4 for group 2. Subsequently, in a transfer learning phase, all participants experienced compound images that were the product of G1 and G3 but composed of entirely new images. We found that knowledge of subprocesses transferred between tasks such that in a new task environment each group made more accurate predictions pertaining to the structure they had experienced in prior learning. Computational models utilizing predictive representations, based solely on the temporal contiguity of experienced task states, could not explain these data. Instead, behavior was consistent with a model performing structural inference over a hypothesis space of graph structures. Our results provide support for the idea that humans discover and abstract subprocesses from dynamic environments and reuse this knowledge to meet the demands of new environments in an efficient, resource-rational manner.
Operational cycle analysis of Colombian sugarcane harvest, transport and unloading systems
Authors: Salazar Bryan Antonio , Lozano-Moreno Jairo Alexander , Clavijo-Buritica Nicolas 
Published: October 2023

Abstract
This paper addressed the cycle analysis of the Colombian sugarcane harvest, transport, and unloading system, providing evidence to highlight the synchronization of the machinery as the main bottleneck. The paper's uniqueness to previously published results lies in the holistic approach adopted, integrating operational, economic, and environmental performance indicators. The solution approach considered a set of mathematical formulations and logical rules that feed three perspectives of analysis (operational, economic, and environmental). Consequently, the computational models for each perspective are called ‘modules’ and generate the performance measures. The preliminary analytical results showed low utilization rates for all system resources and a significant difference between the sugarcane harvested and the volume transported to the mill. A sensitivity analysis was conducted using different scenarios to study the impact of machinery synchronization on the system performance. In summary, the main results show that the maximum use of the harvester will be achieved by two tractors in the cycle. Consequently, the operational cost and energy consumption will increase. Besides, the number of wagons per truck will positively influence the system's performance. Although larger truck fleets will improve the system capacity, a deeper financial analysis becomes necessary due to the intense capital investment.