bluuebunny/crossref_metadata_2025_split huggingface dataset:
Sediment provenance of the Lulehe Formation in the Qaidam basin: Insight to initial Cenozoic deposition and deformation in northern Tibetan plateau
Authors: Jian Xing , Fu Ling , Wang Ping , Guan Ping , Zhang Wei , Fu Hanjing , Mei Haowei 
Published: September 2022

AbstractUnravelling early Cenozoic basin development in northern Tibetan Plateau remains crucial to understanding continental deformation mechanisms and to assessing models of plateau growth. We target coarse‐grained red beds from the Cenozoic basal Lulehe Formation in the Qaidam basin by combining conglomerate clast compositions, paleocurrent determinations, sandstone petrography, heavy mineral analysis and detrital zircon U–Pb geochronology to characterize sediment provenance and the relationship between deformation and deposition. The red beds are dominated by matrix‐supported, poorly sorted clastic rocks, implying low compositional and textural maturity and short transport distances. Although most sandstones have high (meta)sedimentary lithic fragment contents and abundant heavy minerals of metamorphic origin (e.g., garnet, epidote and chlorite), spatiotemporal differences in detrital compositions are evident. Detrital zircon grains mainly have Phanerozoic ages (210–280 Ma and 390–480 Ma), but Proterozoic ages (750–1000 Ma, 1700–2000 Ma and 2300–2500 Ma) are also prominent in some samples. Analysed strata display dissimilar (including south‐, north‐ and west‐directed) paleocurrent orientations. These results demonstrate that the Cenozoic basal deposits were derived from localized, spatially diverse sources with small drainage networks. We advocate that initial sedimentary filling in the northern Qaidam basin was fed by parent‐rocks from the North Qaidam‐South Qilian belts and the pre‐Cenozoic basement within the Qaidam terrane interior, rather than southern distant Eastern Kunlun regions. Seismic and drilling well stratigraphic data indicate the presence of paleohighs and syn‐sedimentary reverse faults and noteworthy diversity in sediment thickness of the Lulehe Formation, revealing that the Qaidam terrane exhibited as several isolated depocenters, rather than a coherent basin, in the early stage of the Cenozoic deposition. We suggest the Cenozoic Qaidam basin to have developed in a contractional deformation regime, which supports models with synchronous deformation throughout most of Tibet shortly after the India‐Eurasia collision.
Representational Processes of Actions Toward and Away from the Body
Authors: Ruotolo Francesco , Ruggiero Gennaro , Arabia Teresa Pia , Ott Laurent , Coello Yann , Bartolo Angela , Iachini Tina 
Published: September 2022

AbstractThe aim of the present study was to investigate the role of mental representation processes during the planning, reaching, and use phases of actions with tools commonly used toward the body (TB, e.g., toothbrush) or away from the body (AB, e.g., pencil). In the first session, healthy participants were asked to perform TB (i.e., making circular movements with the toothbrush near the mouth) and AB (i.e., making circular movements with the pencil near the desk) actions both with (i.e., actual use) and without the tool in hand (i.e., the pantomime of tool use). In the second session, the same participants performed a series of mental rotation tasks involving body‐ (i.e., face and hands) and object‐related (i.e., abstract lines) stimuli. The temporal and kinematic analysis of the motor actions showed that the time required to start the pantomimes (i.e., the planning phase) was shorter for the AB action than for the TB action. In contrast, the reaching phase lasted longer for the AB action than for the TB action. Furthermore, the TB pantomime was associated with the performance in the mental rotation of body‐related stimuli, especially during the planning and reaching phases, whereas the AB pantomime was more related to the performance in the mental rotation of object‐related stimuli, especially during the tool use phase. Thus, the results revealed that the direction of a goal‐directed motor action influences the dynamics of the different phases of the motor action and can determine the type of mental images involved in the planning and execution of the action.
Hybrid approach to implement multi‐robotic navigation system using neural network, fuzzy logic, and bio‐inspired optimization methodologies
Authors: Ayub Shahanaz , Singh Navneet , Hussain Md. Zair , Ashraf Mohd , Singh Dinesh Kumar , Haldorai Anandakumar 
Published: September 2022

AbstractMobile robots have been increasingly popular in a variety of industries in recent years due to their ability to move in variable situations and perform routine jobs effectively. Path planning, without a dispute, performs a crucial part in multi‐robot navigation, making it one of the very foremost investigated issues in robotics. In recent times, meta‐heuristic strategies have been intensively investigated to tackle path planning issues in the similar way that optimizing issues were handled, or to design the optimal path for such multi‐robotics to travel from the initial point to such goal. The fundamental purpose of portable multi‐robot guidance is to navigate a mobile robot across a crowded area from initial point to target position while maintaining a safe route and creating optimum length for the path. Various strategies for robot navigational path planning were investigated by scientists in this field. This work seeks to discuss bio‐inspired methods that are exploited to optimize hybrid neuro‐fuzzy analysis which is the combination of neural network and fuzzy logic is optimized using the particle swarm optimization technique in real‐time scenarios. Several optimization approaches of bio‐inspired techniques are explained briefly. Its simulation findings, which are displayed for two simulated scenarios reveal that hybridization increases multi‐robot navigation accuracy in terms of navigation duration and length of the path.
Uncertainty quantification for ecological models with random parameters
Authors: Reimer Jody R. , Adler Frederick R. , Golden Kenneth M. , Narayan Akil 
Published: September 2022

AbstractThere is often considerable uncertainty in parameters in ecological models. This uncertainty can be incorporated into models by treating parameters as random variables with distributions, rather than fixed quantities. Recent advances in uncertainty quantification methods, such as polynomial chaos approaches, allow for the analysis of models with random parameters. We introduce these methods with a motivating case study of sea ice algal blooms in heterogeneous environments. We compare Monte Carlo methods with polynomial chaos techniques to help understand the dynamics of an algal bloom model with random parameters. Modelling key parameters in the algal bloom model as random variables changes the timing, intensity and overall productivity of the modelled bloom. The computational efficiency of polynomial chaos methods provides a promising avenue for the broader inclusion of parametric uncertainty in ecological models, leading to improved model predictions and synthesis between models and data.
Distributed hyperledger technology in FinTech with artificial intelligence assisted internet of things platform
Authors: Li Dengjia , Ma Chaoqun , Zhou Zhongding , Kuang Xianhua , Lin Zijun 
Published: September 2022

AbstractArtificial intelligence (AI) and distributed hyper ledger technology are both at the height of their hype cycles, which means they have the potential to be disruptive. This raises issues about new technologies' influence on future business structures, particularly in service‐based industries like finance. Even though numerous assumptions in reality point to the complementary use of these two technologies to produce new value creation potentials, there is little contemporary literature and study on the subject. Different perspectives on any of the two technologies mentioned above are insufficient for understanding potential synergies in financial services. Similarly, the internet of things (IoT) assistance for FinTech solutions has risen its significance in the upcoming transaction world. Therefore, this research proposes a distributed hyper ledger technology and AI for IoT‐based FinTech platform (DHLT‐AI‐FTP), which incorporates the benefits of each technology for secured and energy‐efficient financial transactions and communication. The AI technology and distributed hyper ledger technology handle the security part, and the communication part holds the efficient design of IoT implementation. The simulation evaluation of the proposed model ensures the improved security and efficiency of FinTech management and processing for real‐time business scenarios. The experimental analysis shows the significant performance of the proposed DHLT‐AI‐FTP with a better adaptability ratio of 98.56% compared to other existing approaches.
Effect of hospital‐based case management on psychosocial wellbeing and treatment outcomes in colorectal cancer patients: A quasi‐experimental study
Authors: Zhang Yiheng , Zou Wenjie , Wu Xiaodan , Wang Xia , Zhang Meng , Wu Xiaoyu , Qin Huiying , Zhang Meifen 
Published: September 2022

AbstractBackgroundCase management has been regarded as the front line of necessary change for fragmented healthcare system.AimThis study proposed a case management intervention that is suitable for Chinese colorectal cancer patients and explored its effectiveness over a 12‐month follow‐up.MethodsA quasi‐experimental study was conducted in an oncology hospital in China. A total of 188 patients were recruited from May 2015 to February 2017; 85 patients in the control group and 80 patients in the intervention group were included in data analysis. The intervention group was managed for 1 year by a case manager who organized the multidisciplinary team, provided regular assessment, a consulting service and referrals. Quality of life, anxiety and depression, symptom distress, treatment adherence and unplanned readmission rates were measured.ResultsRepeated measurement ANOVA showed significant intervention and time effects in global quality of life, anxiety and depression, symptom distress and oral chemotherapy adherence. The intervention group showed statistically significantly better overall treatment adherence and lower unplanned readmission rate.ConclusionNurse‐led case management was effective in improving psychosocial outcomes, treatment adherence and unplanned readmission rate of colorectal cancer patients. A case management model is feasible and effective in colorectal cancer patients and in hospital‐dominated healthcare systems where primary care is underutilized.
Lability of prenatal stress during the COVID‐19 pandemic links to negative affect in infancy
Authors: MacNeill Leigha A. , Krogh‐Jespersen Sheila , Zhang Yudong , Giase Gina , Edwards Renee , Petitclerc Amélie , Mithal Leena B. , Mestan Karen , Grobman William A. , Norton Elizabeth S. , Alshurafa Nabil , Moskowitz Judith T. , Tandon S. Darius , Wakschlag Lauren S. 
Published: September 2022

AbstractThe association between prenatal stress and children's socioemotional development is well established. The COVID‐19 pandemic has been a particularly stressful period, which may impact the gestational environment. However, most studies to‐date have examined prenatal stress at a single time point, potentially masking the natural variation in stress that occurs over time, especially during a time as uncertain as the pandemic. This study leveraged dense ecological momentary assessments from a prenatal randomized control trial to examine patterns of prenatal stress over a 14‐week period (up to four assessments/day) in a U.S. sample of 72 mothers and infants. We first examined whether varied features of stress exposure (lability, mean, and baseline stress) differed depending on whether mothers reported on their stress before or during the pandemic. We next examined which features of stress were associated with 3‐month‐old infants' negative affect. We did not find differences in stress patterns before and during the pandemic. However, greater stress lability, accounting for baseline and mean stress, was associated with higher infant negative affect. These findings suggest that pathways from prenatal stress exposure to infant socioemotional development are complex, and close attention to stress patterns over time will be important for explicating these pathways.
Nurses' professional values and competency in Saudi Arabia: A structural equation modelling approach
Authors: Grande Rizal Angelo N. , Berdida Daniel Joseph E. , Alshammari Farhan F. , Nacubuan Odeta Almonte , Alshammari Tahani Awadh , Alenezi Huda Saad , Rondilla Evalynn M. , Villano Dominga Narag 
Published: September 2022

AbstractAims and objectivesTo explore the relationship between Saudi nurses' professional values and competence.BackgroundProfessionals are bound by ethical standards specific to their profession. Accordingly, the COVID‐19 pandemic is the most significant event that has impacted nurses' professional values and competency.DesignA descriptive cross‐sectional design adhering to STROBE guidelines.MethodsClinical nurses from four tertiary government hospitals (n = 659) participated and completed two self‐report instruments. Study variables were analysed using the structural equation modelling approach.ResultsThe emerging model displayed acceptable model fit indices. Professionalism and activism were two dimensions of nurse professional values that significantly impacted professional competency. Professionalism significantly impacted the four other aspects of nurse professional values: caring, activism, trust, and justice. Caring had a significant and direct impact on activism. Activism had a weak, direct effect on trust, whereas justice had a moderate, direct effect on trust. Through the mediation of the dimension of activism, both the dimensions of professionalism and caring had a strong, indirect impact on professional competency.ConclusionsThis research presents a structural model of the interrelationship between nurse professional values and competency. Nurse administrators can use the proposed model to develop approaches and policies for assessing, improving and evaluating professional values among nurses.Relevance for Clinical PracticeNursing professionals are committed to upholding their ethical and moral standards while performing their caregiver roles. Nurse administrators can implement activities and strategies to develop nurses' professional competence further, as professional values represent the ideal values expected of nurses providing patient care.
Influencing factors of fatigue among public health nurses during the COVID‐19 pandemic: A cross‐sectional study
Authors: Cho Ok‐Hee , Yoon Jeongeun , Kim Mina 
Published: September 2022

AbstractObjectiveThis study investigated the effects of occupational stress, anxiety, depression, and sleep disturbance on the level of fatigue among public health nurses (PHNs).DesignThe study had a cross‐sectional, correlational survey design.MeasuresA total of 198 PHNs were enrolled from 30 public healthcare centers/offices. Data were collected between May and July 2021 using a structured questionnaire to investigate the general characteristics, occupational stress, anxiety, depression, sleep disturbance, and fatigue of the participants. Descriptive statistics and multiple regressions were used to determine fatigue and its influencing factors among PHNs.ResultsThe participants showed high fatigue and occupational stress levels due to a lack of rewards. The percentage of participants with mild‐to‐severe anxiety and mild‐to‐severe depression, and those who identified themselves as poor sleepers were 44.9%, 50.5%, and 70.2%, respectively. High levels of sleep disturbance (β = .23, p < .001), occupational stress (β = .21, p < .001), anxiety (β = .20, p = .016), depression (β = .17, p = .043), being younger (β = –.15, p = .004), and being a regular worker (β = .13, p = .017) were influencing factors of fatigue.ConclusionsIndividual efforts and organizational interventions to enhance sleep quality are needed to relieve fatigue among PHNs. Further, organizational support can be considerate of young nurses and regular workers, and alleviate their occupational stress. Moreover, anxiety and depression should be managed efficiently to reduce fatigue.
Planning and scheduling in healthcare for better care coordination: Current understanding, trending topics, and future opportunities
Authors: Youn Seokjun , Geismar H. Neil , Pinedo Michael 
Published: September 2022

This study reviews the research on planning and scheduling in healthcare published in Production and Operations Management (POM) and other prestigious operations management journals over the past 30 years, identifies trending topics, and discusses opportunities for future research. Specifically, we categorize the capacity planning literature into three problem contexts: (a) hospital units and operating rooms, (b) outpatient clinics, and (c) broader healthcare networks. We further classify the scheduling literature into (a) appointment scheduling, (b) surgery and workforce scheduling, and (c) recurring and integrated scheduling, with several subtopics that have attracted attention in the literature. Afterward, we demonstrate the seven emerging trends in healthcare (i.e., collaborative ecosystem and cooperative competition strategy, expanded reach of virtual care, applications of artificial intelligence in healthcare, patient engagement and personalized care, shifting to value‐based care, working toward health equity, and aging populations) and list relevant research opportunities and their related departments of POM journal. We conclude with a call for multidisciplinary perspectives to deliver coherent solutions that incorporate the complex contemporary issues harmoniously.
Flood susceptibility assessment using hybrid machine learning and remote sensing in Quang Tri province, Vietnam
Authors: Nguyen Huu Duy 
Published: September 2022

AbstractFlooding is the most dangerous of all environmental hazards and leads to significant impacts both on the environment and on human life. Environmental protection and water management can be achieved by modeling flood susceptibility, to inform strategy that will reduce flood damage. The aim of this study is to develop novel hybrid models based on a radial basis functions neural network (RBFNN), arithmetic optimization algorithm (AOA), artificial bee colony (ABC), and ant lion optimizer (ALO), to build flood susceptibility maps in the Quang Tri province of Vietnam. The obtained models were trained and validated using 1511 flood points and 14 conditioning factors. Various statistical indices were used to assess the performance of the models, namely root mean square error, receiver operation characteristics (ROC), area under the receiver operating characteristic curve (AUC), and the coefficient of determination (R2). The comparison analysis highlights that the RBFNN‐ABC model was better than other models with an AUC of 0.98, followed by RBFNN‐AOA, support vector machine, and random forest, all with an AUC value of 0.96, and finally RBFNN‐ALO, with an AUC of 0.95. From the flood susceptibility map, it can be seen that the eastern areas of the study area have high and very high flood susceptibility, that requires local government attention. The approach and results of this study can support national and local authorities, decision‐makers, and other planners in the construction of appropriate strategies to reduce potential damage in the future.
SPIRITUALITY AND TECHNOLOGY: A THREEFOLD PHILOSOPHICAL REFLECTION
Authors: Fernandez‐Borsot Gabriel 
Published: September 2022

AbstractDespite the prominent role that technology plays in twenty‐first‐century societies, the intersections between spirituality and technology have been poorly analyzed. This article develops a cross‐reflection between these two key anthropological aspects, using a philosophical approach that structures the analysis along three classical categories: transcendence, immanence, and relationality. Drawing from ideas of philosophers, such as Heidegger and Merleau‐Ponty, the article sheds light on problematic aspects of technology that spirituality helps identify and for which it suggests solutions. Symmetrically, the analysis shows commonly inadvertent aspects of spirituality that technology brings to the fore. All in all, spirituality appears as an essential dimension to cultivate in technological societies, while technology might reveal spirituality as richer and deeper than has been apparent in traditional settings.
Pandemic Responsive Spaces for Local Economic Activities in the Old Town of Semarang
Authors: Kurniawati Wakhidah , Kurniati Rina , Soetomo Sugiono , Rahmat R. Rafii Bisatya 
Published: September 2022

The COVID-19 pandemic has changed all aspects of life and order. It has made the Old Town of Semarang experience a decrease in the number of visitors. When the economy is starting and recovering, the pandemic sensitivity space is exercised through strict health protocol. This paper uses direct observation to examine the pandemic responsive space for local economic activities in the Old Town of Semarang. The following procedures were adopted for this study: 1) Defining the potential economic activity space in the Old Town of Semarang; 2) Recognising the presence of pandemic responsive space in location; 3) Analysing the responsive space in relation to pandemic context, and 4) Proposing space pattern that responsive to pandemic context. The study’s results are the Old Town of Semarang has three typologies of economic activity spaces, including cafes, restaurants, and street vendors. The economic activity in the form of cafes and restaurants has organised a responsive space to implement the established health protocols. In contrast, street vendors create unresponsive space for economic activity. This is because the street vendors have not been able to provide adequate supporting facilities for health protocols. Therefore, the local government and economic actors need to speed up the process for determining more pandemic responsive urban space that will allow economic activities to be carried out with proper health protocols
Urban Design Initiatives in Drought-prone Areas dealing increasing Water Demand as Pandemic Covid-19 Impact
Authors: Dewi Santy Paulla , Prihestiwi Rosa Calista 
Published: September 2022

The Covid-19 pandemic becomes a primary issue in urban development that requires several supporting facilities and infrastructures to handle. The adequate water supply to ensure the washing hand and bathing as part of health protocol implementation is crucial for drought-prone areas. Meanwhile, the government strategies on drought handling by assisting the water trucks are considered a temporary solution. Hence, this study examines urban design initiatives to deal with Covid-19 impact on the water sector, particularly in Semarang drought-prone areas. The research used a quantitative method by overlaying physical variables such as the soil type, slope, and water supply coverage to determine the drought level map. Afterward, the drought level compared with the population growth and community's economic capacity to describe the area's vulnerability. Besides, the existing drought handling strategies were analyzed to examine the impact. This study utilized secondary data such as the government institution websites as well as Google maps. The analysis results point out that most of drought-prone areas did not serve by government water service and relied on the community-based water supply system. In addition, 25% of the inhabitants are categorized as a low-income community, so that they prefer to take water from the river or spring than have to expend more to buy the water. Meanwhile, the existing initiatives on drought handling did not have significant impacts because of a lack of knowledge and unclear regulation. The Water Sensitive Urban Design (WSUD) concept has already been adopted, yet the implementation was still small-scale and unsustained. Therefore, it is necessary to consider the physical, socio-economic, and political aspects in implementing the drought handling initiatives.