bluuebunny/crossref_metadata_2025_split huggingface dataset:
Sustainable Sulfur‐Carbon Hybrids for Efficient Sulfur Redox Conversions in Nanoconfined Spaces
Authors: Senokos Evgeny , Au Heather , Eren Enis Oğuzhan , Horner Tim , Song Zihan , Tarakina Nadezda V. , Yılmaz Elif Begüm , Vasileiadis Alexandros , Zschiesche Hannes , Antonietti Markus , Giusto Paolo 
Published: October 2024

AbstractNanoconfinement is a promising strategy in chemistry enabling increased reaction rates, enhanced selectivity, and stabilized reactive species. Sulfur's abundance and highly reversible two‐electron transfer mechanism have fueled research on sulfur‐based electrochemical energy storage. However, the formation of soluble polysulfides, poor reaction kinetics, and low sulfur utilization are current bottlenecks for broader practical application. Herein, a novel strategy is proposed to confine sulfur species in a nanostructured hybrid sulfur‐carbon material. A microporous sulfur‐rich carbon is produced from sustainable natural precursors via inverse vulcanization and condensation. The material exhibits a unique structure with sulfur anchored to the conductive carbon matrix and physically confined in ultra‐micropores. The structure promotes Na+ ion transport through micropores and electron transport through the carbon matrix, while effectively immobilizing sulfur species in the nanoconfined environment, fostering a quasi‐solid‐state redox reaction with sodium. This translates to ≈99% utilization of the 2e− reduction of sulfur and the highest reported capacity for a room temperature Na−S electrochemical system, with high rate capability, coulombic efficiency, and long‐term stability. This study offers an innovative approach toward understanding the key physicochemical properties of sulfurcarbon nanohybrid materials, enabling the development of high‐performance cathode materials for room‐temperature Na‐S batteries with efficient sulfur utilization.
Exploring the interplay between zinc‐induced protein dyshomeostasis and mitochondrial dysfunction using viscosity‐sensitive sensor
Authors: He Xuan , Li Jiaqi , He Wenye , Zhai Jia , Wei Yu , Zhang Xin , Shen Baoxing , Huang He 
Published: October 2024

AbstractMitochondria are crucial sites for protein quality control within cells. When mitochondrial stress is triggered by protein misfolding, it can accelerate abnormal protein aggregation, potentially inducing various diseases. This study developed a cascade‐responsive sensor, named AggHX, to monitor the microenvironment of protein aggregation induced by zinc (II) ions and the accompanying mitochondrial dysfunction. The AggHX consists of two key components: (1) A Zn2+ recognition group for triggering a fluorescent enhance response, and (2) a near‐infrared BODIPY scaffold that detects viscosity changes in cell aggregation via HaloTag. This sensor's mechanism of action is elucidated through photochemical and biochemical characterizations. To further investigate the relationship between protein aggregation and mitochondrial homeostasis, we employ fluorescence lifetime imaging microscopy to assess viscosity changes in protein aggregates under intracellular Zn2+ stress. This research provides insights into the dynamic behavior and spatial distribution of protein aggregates and mitochondria, contributing to a deeper understanding of their physiological roles in cellular processes and potential implications in disease pathology.
GIS‐based surface irrigation potential assessment of Gololcha River Watershed, Awash Basin, Ethiopia
Authors: Abagissa Wudad Yazid , Geremew Getachew Bereta , Ayana Melkamu Teshome , Ayele Elias Gebeyehu , Tilahun Alemayehu Kasaye 
Published: October 2024

AbstractThe Gololcha River Watershed is lacking comprehensive assessment of land suitability for surface irrigation, available water potential, and prioritized irrigable areas. This study aims to evaluate the potential of land and water resources for surface irrigation in the Gololcha River Watershed. The study employed a multi‐criteria analysis approach using the analytical hierarchy process (AHP) and ArcGIS to assess land suitability, considering factors like slope, land use/cover, soil characteristics, and proximity to water sources. The observed mean monthly water flow potential for each sub‐watershed was statistically evaluated, and the area ratio approach was used to transfer discharges from gauged sites to the site of interest. Irrigation water requirements for three major crops in the study area were calculated using the CROPWAT8.0 model. The findings revealed an average water availability for irrigation of 2.70 m3/s/month, 1.10 m3/s/month, and 1.03 m3/s/month for the Kurkura, Midagdu, and Wefi sub‐watersheds, respectively, with a total annual river flow of 161 m3/s. Based on the suitability analysis, 2508 ha (7.27%) of the watershed area was classified as highly suitable for surface irrigation, 16,420 ha (47.565%) as moderately suitable, 1502 ha (4.35%) as marginally suitable, and 14,029 ha (40.71%) as unsuitable. The overall surface irrigation potential, aligned with available water, was estimated at 4872.58 ha. However, due to water limitations, only 14.15% of the total suitable land can be irrigated using existing flows. The study highlights the significant potential for expanding surface irrigation in the Gololcha River Watershed, particularly during the rainy seasons when substantial water flows are available. The findings provide valuable insights for developing sustainable irrigation strategies, enhancing agricultural productivity, and contributing to food security in the region.
Analogical elucidation of dusty‐hybrid nanofluid flow through the microchannel: An unsteady case
Authors: Almeida Felicita , Keerthi Maasthi Lohitkumar , Venkatesh Puttaswamy , Gireesha Bijjanal Jayanna , Nagaraja Basavarajappa , Kumar Pradeep 
Published: October 2024

AbstractThis work is the exploration of unsteady flow of dusty fluid in the horizontal microchannel when the channel plates are susceptible to linear radiation. The flow of the dusty fluid is in the existence of magnetic field. Along with dusty fluid, there are immersions of two different types of nanoparticles namely ferrous oxide and silver . The study gives the comparison of nanofluid phase with dusty fluid phase; hybrid nanofluid phase with dusty fluid phase separately. The modeled partial differential equations are non‐dimensionalized and pdsolve command of Maple software tackles these formed partial differential equations directly. Comparative study of nanofluid‐dusty fluid and hybrid nanofluid‐dusty fluid for the flow in microchannel is to elucidate the fact of heat transfer enhancement upon appropriate insertion of nanoparticles in the base fluid; especially the nanoparticles possessing paramagnetic effect for the better performance on the application of the magnetic field. Results deduce that the fluid flow and heat transmission are known to progress with time. Also, the fluid phase is known to reach the steady state earlier than the dust phase. The nanoparticle volume fraction is known to deplete the temperature in both the hybrid fluid phase and nanofluid phase. The particle concentration parameter diminishes the velocity profile, both for fluid phase and dust phase.
On the inverse problem of parameter identification in the steady Oseen model with unilateral and frictional‐type boundary conditions
Authors: Cen Jinxia , Khan Akhtar A. , Yao Jen‐Chih , Zeng Shengda 
Published: October 2024

AbstractRecently, Migórski‐Dudek investigated a steady Oseen flow for a generalized Newtonian incompressible fluid with unilateral and frictional‐type boundary conditions. They established an existence theorem for the steady Oseen model when the divergence‐free convection field and acting volume force are known. However, prior knowledge of and is often impossible in practical engineering applications. This leads to the question of whether the divergence‐free convection field and acting volume force can be determined. The main objective of this paper is to provide a positive response to this challenging and intriguing question. Specifically, we aim to formulate an inverse problem for identifying and , characterized by a nonlinear and nonsmooth regularized optimization problem. Initially, we introduce a variational selection mapping for the steady Oseen model. We then establish the boundedness and generalized continuity of this variational selection. Finally, by leveraging optimization theory, convex analysis, and nonsmooth analysis, we develop an abstract regularization framework for the considered inverse problem and establish the existence of a solution.
Quantification of deoxythioguanosine in human DNA with LC-MS/MS, a marker for thiopurine therapy optimisation
Authors: Carlsson Björn , Karlsson Louise , Ärlemalm Andreas , Sund Sophie , Appell Malin Lindqvist 
Published: October 2024

AbstractIn the treatment of diseases such as acute childhood leukaemia (ALL) and inflammatory bowel disease (IBD), the thiopurines azathioprine, 6-mercaptopurine, and 6-thioguanine are used. Thiopurines are antimetabolites and immunomodulators used to maintain remission in patients. They are all prodrugs and must be converted into the competing antimetabolites thioguanosine triphosphate and deoxythioguanosine triphosphate for final incorporation into RNA or DNA. The current therapeutic drug monitoring (TDM) method measures the sum of the formed metabolites in the sample, after acidic hydrolysis at high temperature. In this work, the goal is to measure these drugs closer to their pharmacological endpoints, once incorporated into DNA. After extracting DNA from whole blood, followed by DNA hydrolysis, 2′-deoxythioguanosine (dTG) and the complementary natural nucleobase 2′-deoxycytidine (dC) were measured. Chromatographic separation on a HSS T3 column followed by mass spectrometric detection was performed in multi-reaction monitoring (MRM) mode on a Xevo TQ-XS with ESI in positive mode, within 5 min. The concentration range for dTG was 0.04–5 nmol/L, and for dC, 0.1–12.5 µmol/L. The lower limit of detection was determined to a concentration of 0.003 nmol/L for dTG and 0.019 µmol/L for dC. The intra- and inter-assay imprecision for the quality controls ranged between 3.0 and 5.1% and between 8.4 and 10.9%, respectively. Sample stability for up to 4 years is shown. In summary, a sensitive method to quantify the thiopurines incorporated into DNA as dTG has been developed and will be used in further clinical studies for a better understanding of the mode of action of the thiopurines and the use of this method in TDM.
Prognostic impact of microscopic residual disease after neoadjuvant chemotherapy in patients undergoing interval debulking surgery for advanced ovarian cancer
Authors: Di Donato Violante , Caruso Giuseppe , Golia D’Augè Tullio , Perniola Giorgia , Palaia Innocenza , Tomao Federica , Muzii Ludovico , Pernazza Angelina , Della Rocca Carlo , Bogani Giorgio , Benedetti Panici Pierluigi , Giannini Andrea 
Published: October 2024

Abstract
Purpose
To determine the prognostic impact of microscopic residual disease after neoadjuvant chemotherapy (NACT) in patients undergoing interval debulking surgery (IDS) for advanced epithelial ovarian cancer (AEOC).

Methods
Patients affected by FIGO stage IIIC–IV ovarian cancer undergoing IDS between October 2010 and April 2016 were selected. Progression-free survival (PFS) and overall survival (OS) were estimated using the Kaplan–Meier analysis.

Results
In total, 98 patients were identified. Four patients (4.1%) were considered inoperable. Overall, 67 patients (out of 94; 71.3%) had macroscopic disease, equating Chemotherapy Response Score (CRS) 1 and 2, 7 (7.4%) had microscopic residuals, equating CRS3, rare CRS2, while 20 (21.3%) had both microscopic and macroscopic disease. Median OS and PFS were, respectively, 44 and 14 months in patients with no macroscopic residual disease (RD = 0) compared to 25 and 6 months, in patients with RD > 0 (OS: p = 0.001; PFS: p = 0.002). The median PFS was 9 months compared to 14 months for patients with more or less than 3 areas of microscopic disease at final pathologic evaluation (p = 0.04). The serum Ca125 dosage after NACT was higher in patients with RD > 0 compared to those without residue (986.31 ± 2240.7 µg/mL vs 215.72 ± 349.5 µg/mL; p = 0.01).

Conclusion
Even in the absence of macroscopic disease after NACT, the persistence of microscopic residuals predicts a poorer prognosis among AEOC patients undergoing IDS, with a trend towards worse PFS for patients with more than three affected areas. Removing all fibrotic residuals eventually hiding microscopic disease during IDS represents the key to improving the prognosis of these patients.
Father–Child Relationship Quality and Social Functioning Among Children at Risk for Child Maltreatment
Authors: Yoon Susan , Yoon Dalhee , Wernekinck Uwe , Lee Seungjin , Nho Choong Rai , Chung Ick-Joong 
Published: October 2024

AbstractDespite the considerable growth and advancement in fatherhood research, relatively little is known about the effects of father–child relationship quality on social functioning among children who experience child maltreatment. Applying the strengths-based perspective, the current study sought to examine the association between father–child relationship quality and social functioning (social competence and positive peer relationships) among at-risk children, and to determine whether these associations are moderated by perpetrator type. This study included a sample of 681 US children (age 12 years) drawn from the Longitudinal Studies of Child Abuse and Neglect. We conducted a series of ordinary least squares multiple regression analyses. Higher-quality father–child relationships were associated with higher levels of social competence (B = 0.19, SE = 0.06, p = .002) and positive peer relationships (B = 0.05, SE = 0.02, p = .005). Significant interaction effects were found. The positive association between father–child relationships and peer relationships was significantly stronger among children with a history of maltreatment perpetrated by fathers with or without mothers (B = 0.16, SE = 0.05, p = .002). Findings highlight the importance of positive father–child relationships in building social resilience among children who experience maltreatment. Practitioners working with youth who are at risk for maltreatment should consider engaging fathers in services to support the development of strong father–child relationships.
Environmental and Welfare Effects of Large-Scale Integration of Renewables in the Electricity Sector
Authors: Davi-Arderius Daniel , Jamasb Tooraj , Rosellon Juan 
Published: October 2024

AbstractThe 2022 energy crisis highlighted the dependence of the Europe electricity sector on imported natural gas and the need to accelerate the adoption of renewables to the power system. However, operating a reliable power system with high share of renewables might require curtailing some renewables and activating conventional generators not scheduled in the day-ahead markets to ensure system reliability. These actions can result in environmental impacts, higher system costs and welfare impacts for customers. We use a novel high-granularity data from the Spanish power system for the period 2019–2022 to estimate the effects of these actions and forecast future impact of implementing ambitious targets of the European Gas Reduction Plan. We show that reliance on conventional generators will sharply increase with the addition of renewables. However, higher electricity consumption reduces the negative welfare impacts of integrating renewables. Until renewables and storage technologies advance further, conventional generators are needed for reliable operation of the systems.
Knowledge graph-enhanced multi-agent reinforcement learning for adaptive scheduling in smart manufacturing
Authors: Qin Zhaojun , Lu Yuqian 
Published: October 2024

AbstractSelf-organizing manufacturing network has emerged as a viable solution for adaptive manufacturing control within the mass personalization paradigm. This approach involves three critical elements: system modeling and control architecture, interoperable communication, and adaptive manufacturing control. However, current research often separates interoperable communication from adaptive manufacturing control as isolated areas of study. To address this gap, this paper introduces Knowledge Graph-enhanced Multi-Agent Reinforcement Learning (MARL) method that integrates interoperable communication via Knowledge Graphs with adaptive manufacturing control through Reinforcement Learning. We hypothesize that implicit domain knowledge obtained from historical production job allocation records can guide each agent to learn more effective scheduling policies with accelerated learning rates. This is based on the premise that machine assignment preferences effectively could reduce the Reinforcement Learning search space. Specifically, we redesign machine agents with new observation, action, reward, and cooperation mechanisms considering the preference of machines, building upon our previous MARL base model. The scheduling policies are trained under extensive simulation experiments that consider manufacturing requirements. During the training process, our approach demonstrates improved training speed compared with individual Reinforcement Learning methods under the same training hyperparameters. The obtained scheduling policies generated by our Knowledge Graph-enhanced MARL also outperform both individual Reinforcement Learning methods and heuristic rules under dynamic manufacturing settings.
Romanian Adaptation and Psychometric Validation of the Behavioral Emotion Regulation Questionnaire (BERQ-RO)
Authors: Ursu Andreea , Priego-Ojeda María , Opariuc-Dan Cristian 
Published: October 2024

AbstractThe aim of the present study was to adapt the Behavioral Emotion Regulation Questionnaire to the Romanian population and assess its psychometric proprieties. Participants included 399 adults, aged between 18 and 67 years old (M = 25.30, SD = 9.20; 83% females). Related to reliability and construct validity, results showed good indices. Additionally, results replicated the original five-factor structure, including seeking distraction, withdrawal, actively approaching, seeking social support and ignoring. These subscales showed good criterion validity, having significant associations with cognitive emotion regulation strategies, stress, anxiety and depression, and positive and negative affectivity. Furthermore, in terms of predictive validity, seeking distraction and actively approaching negatively predicted six months later symptoms of depression, withdrawal positively predicted six months later symptoms of depression and anxiety, while actively approaching negatively predicted six months later stress. These findings highlight that the Romanian version of the BERQ could be a helpful tool to assess emotion regulation strategies among adults.
New approximations for monotone submodular maximization with knapsack constraint
Authors: Du Hongmin W. , Li Xiang , Wang Guanghua 
Published: October 2024

AbstractGiven a monotone submodular set function with a knapsack constraint, its maximization problem has two types of approximation algorithms with running time $$O(n^2)$$

O
(

n
2

)

and $$O(n^5)$$

O
(

n
5

)

, respectively. With running time $$O(n^5)$$

O
(

n
5

)

, the best performance ratio is $$1-1/e$$

1
-
1
/
e

. With running time $$O(n^2)$$

O
(

n
2

)

, the well-known performance ratio is $$(1-1/e)/2$$

(
1
-
1
/
e
)
/
2

and an improved one is claimed to be $$(1-1/e^2)/2$$

(
1
-
1
/

e
2

)
/
2

recently. In this paper, we design an algorithm with running $$O(n^2)$$

O
(

n
2

)

and performance ratio $$1-1/e^{2/3}$$

1
-
1
/

e

2
/
3

, and an algorithm with running time $$O(n^3)$$

O
(

n
3

)

and performance ratio 1/2.
The Different Faces of Religion in Therapy: An Exploratory Qualitative Study of a Religion-Based Therapeutic Community for Addiction Recovery in Israel
Authors: Pagis Michal , Elbaz Ayala , Ben Yair Yitzhak 
Published: October 2024

Abstract
This article examines the impact of the integration of religion and psychological treatment in a religion-based therapeutic community for persons in recovery from addiction in Israel. Based on an exploratory qualitative study that includes participant observation in a Jewish forgiveness therapy training course and in-depth interviews with counselors working in the community, we identify three themes that characterize the therapeutic process. First, religion emerges as a challenge in therapy, one that should be addressed with sensitivity. Second, religion can be turned into a spiritual and cultural resource in the recovery process, with a cautious and sensitive approach. Third, religion can offer a remedial experience, without necessarily involving an intensification of faith. We offer principles that can help guide decisions regarding the integration of religion into therapy, with a focus on addiction treatment oriented to clients with a religious background.
Minimizing the earliness–tardiness for the customer order scheduling problem in a dedicated machine environment
Authors: Hoffmann Julius , Neufeld Janis S. , Buscher Udo 
Published: October 2024

AbstractThe customer order scheduling problem has garnered considerable attention in the recent scheduling literature. It is assumed that each of several customer orders consists of several jobs, and each customer order is completed only if each job of the order is completed. In this paper, we consider the customer order scheduling problem in a machine environment where each customer places exactly one job on each machine. The objective is to minimize the earliness–tardiness, where tardiness is defined as the time an order is finished past its due date, and earliness is the time a job is finished before its due date or the completion time of the corresponding order, whichever is later. Even though the earliness–tardiness criterion is an important objective for just-in-time production, this problem has not been studied in the context of the customer order scheduling problem. We provide a mixed-integer linear programming (MILP) formulation for this problem and derive multiple problem properties. Furthermore, we develop six different heuristics for this problem configuration. They follow the structure of the iterated greedy algorithm and additionally use a refinement function in which they differ. In a computational experiment, the algorithms were compared with each other and outperformed a solver solution of the MILP, which proves their ability to efficiently solve the problem configuration.