bluuebunny/crossref_metadata_2025_split huggingface dataset:
Impacts of water surge from mountain railroad tunnels on ecological environments based on the RSEI model
Authors: Liu Wei , Yang Xu , Gao Xin , Zeng Saixing , Zhou Jia , Wu Xiangli , Zhang Jingxiao 
Published: August 2023

Abstract
Tunnels play a significant role in mountain railroad routes and increase the efficiency of railroad traffic. However, water surge from tunnels can seriously impact the ecological environment during the construction period. This study selected a typical mountain railroad tunnel in southwest China and used the Remote Sensing Ecological Index (RSEI) to evaluate the changes in the ecological environment along the tunnel surge water path and relate the impacts to the main influencing factors throughout the whole tunnel construction cycle. The following conclusions were obtained: (1) The RSEI from 2005 to 2020 mostly ranged within 0.25–0.75. The most severe ecological disturbances occurred in areas directly affected by tunnel construction and along the water surge path; (2) in addition to affecting the surrounding ecological environment during the construction period, tunnel surge water continued to adversely affect the environment during the post-construction period; (3) in the post-construction period, the areas 300–450 m and 750–850 m from the tunnel exit had the largest changes in RSEI. This study provides scientific evidence to support environmental planning for mountain railroad tunnel construction, which is necessary to achieve both efficient tunnel construction and environmental protection.
SOCIETY AND SEXUALITY, an experience of support group in a psychiatric hospital
Authors: CHAUMARTIN Nadia , Blacioti Elena 
Published: August 2023

Abstract
Objective
Describing our experience of a sexuality discussion group for psychiatric inpatients.
Method
Alternating women, men and mixed sessions, to present the anatomy, the sexual physiology and open up a debate around psychosexuality and society.
Results
The women's group themes highlight the link between the sexuality and the female status in society. The men’s group themes are the functional disorders around sexuality and the side effects of psychotropic drugs. The mixed group show interest in informing the other gender of their needs and expectations. The mixed group also aims to receive non-binary patients.
Discussion
We see heterogeneity in the groups, gender differences and complementarity between men and women in the way they evoke their sexual and emotional life, and relationship with sexual pleasure. The patients share their intimacy around emotional or sexual traumatic experiences. The themes highlight a sexuality under the narcissistic dominant, characteristic of narcissistic disorders/ borderline states or psychotic disorders. The group functions, as a therapeutic group providing psychological security. The physician-psychologist pair support the links between biology and psyche regarding sexuality. A caregiver exchange time, post-session supports us in the idea that this group on «Society and sexuality» is both a method of expanding knowledge for both us and the patients but also a method of treatment, because we witness transformations both at an individual level and group psychic work.
Conclusion
A psycho educational and therapeutical speech group about society and sexuality in a psychiatric hospital, opens discussions that are part of global patient care.
Improved Wellbeing and Resilience via Breathwork Interventions for Computer Workers
Authors: Montes Cristina Martinez , Penzenstadler Birgit 
Published: August 2023

Abstract
Context: Individual sustainability is undermined by continuous stress, a circumstance many software developers and computer workers are constantly exposed to via deadlines, over-commitment, and high workload. Purpose: We analyze the experience of IT workers when using a deep breathing practice to improve wellbeing, considering their perception of impacts in both benefits and challenges. Method: We imparted a 12-week breathwork course with IT workers as participants. The course was composed by a weekly program with a wellbeing content topic, a live practice with discussion followed by a breathing session for neuroplasticity. We repeated in a 8-weeks format. We conducted exit interviews after each course finished and conducted thematic analysis. Results: Participants reported a positive experience of enhanced wellbeing and relaxation. The guidance was perceived as friendly and easy to follow. Impact: The results of this research offer experiences of using a breathing technique that could be used to reduce stress levels, and in the long term, it could lay the foundations for improving wellbeing and resilience – two main pillars of individual sustainability.
Evidence of Cryptosporidium parvum and Blastocystis hominis transmission from sewage treated to the Cholga mussel
Authors: Suarez Pilar , Vallejos-Almirall Alejandro , Fernández Italo , Gonzalez-Chavarria Iván , Alonso José Luis , Vidal Gladys 
Published: August 2023

Abstract
Cryptosporidium parvum and Blastocystis hominis are foodborne parasites known for causing diarrhea. They accumulate in mussels grown on contaminated water bodies, due to the discharge of sewage treated from sewage treatment plants (STP). Despite, they are not included in the water microbiology control or monitoring. The goal of this work was to evaluate the transmission of C. parvum. and B. hominis from treated sewage (disinfected by chlorination) to Cholga mussels. Cholga from commercial stores and a sewage treated sample were analyzed. Cryptosporidium spp. was identified by ziehl-neelsen-staining (ZNS) and C. parvum by direct-immunofluorescence-assay (IFA) from ZNS positive samples. B. hominis was identified by PCR using locus SSU rDNA. C. parvum and B. hominis were found in 40% and 45% of Cholga samples, respectively, and both were identified in the sewage treated. SSU rDNA gene alignment from Cholga and sewage treated showed 89% of similarity, indicating that could be the same parasite in both samples. This is the first evidence from treated sewage to Cholga transmission of these parasites in Chile suggesting an environmental contamination with high human risk. Sewage treated microbiological analysis should include these parasites and a combined disinfection systems should be considered to treat sewage when are identified.
Abnormal development of gastrointestinal tract and enteric nervous system of homozygous Foxp2(R552H)-mutated mice
Authors: Fujita-Jimbo Eriko , Nakamura Sachie , Momoi Takashi 
Published: August 2023

Abstract
Forkhead box protein P2 (Foxp2) regulates the expression of genes related to organ morphogenesis. Homozygous Foxp2(R552H) knock-in mice (Foxp2R552H/R552H mice) exhibit abnormal brain development, and die around the weaning period. Here we demonstrated that Foxp2R552H/R552H exhibited abnormal development of gastrointestinal (GI) system including stomach, intestinal rotation, and enteric nervous system (ENS), followed by atrophic features and necrosis, and decreased expressions of genes related to stomach and ENS development such as Barx1 and Sfrp1, antagonist for Wnt/β-catenin signaling and Ret and Phox2B related to migration from neural crest cells (NCCs), respectively. Foxp2+/+ and Foxp2R552H/R552H transgenic mice expressing Foxp2 promoter-mediated mCherry exhibited that Foxp2 directly or indirectly autoregulates its expression in the developing stomach and NCCs. Foxp2 may control Wnt/β-catenin signaling and migration of NCCs via its autoregulation system, but Foxp2(R552H) may not. Our results suggest that Foxp2 is necessary for GI tract and ENS development.
Patient-derived prostate cancer organoids require α6-integrins for self-renewal and recapitulate genetic heterogeneity and histopathology of the original tumors
Authors: Devarajan Raman , Hawash Ayman , Koivusalo Saara , Tervasmäki Anna , Mattila Tiina , Zhang Qin , Näpänkangas Juha , Ahtikoski Anne , Vaarala Markku , Pylkäs Katri , Izzi Valerio , Wei Gong Hong , Manninen Aki 
Published: August 2023

Abstract
Background: Modeling the pathophysiology of prostate cancer (PCa) remains a challenge and primary tissue-derived organoid cultures have emerged as promising models representing good tissue mimicry.
Methods: We have established 36 PCa patient-derived organoid cultures that self-renew and can be maintained long-term. Using CRISPR-mediated genomic editing, selected PCa organoids were also genetically engineered to modulate their tumorigenic and self-renewal properties. We show that PCa organoids can also be readily utilized in drug sensitivity tests. In vivo, orthotopic xenograft studies were performed to recapitulate the original tumor phenotype. Finally, we performed scRNA and bulk RNA sequencing to show the multi-cellular involvement in PCa organoid self-renewal and tumorigenesis.
Results: The morphological properties of cancer organoids were found to correlate with the disease grading. Importantly, detailed analyses of selected organoid lines indicated that they maintain the heterogeneity, gene expression profile, and histological architecture of their primary tumor-of-origin and recapitulate these features in vivo as xenografts. Finally, we show that α6-integrin expression is a requisite for the growth and long-term propagation of human PCa organoids while α2-integrin expression is dispensable. High expression levels of both α6- and α2-integrins have been documented in putative prostate epithelial stem cells which likely play an important role in PCa tumorigenesis. Our single-cell analysis identified a distinct cell population with a stem cell profile and high expression of α6- and α2-integrins.
Discussion: Our data suggest that α6-integrin expression promotes PCa stem cell self-renewal and demonstrates the versatile biomedical utilities of PCa-derived organoid models.
CFD-based Design Optimization of DuctedHydrokinetic Turbines
Authors: Park Jeongbin , Knight Bradford , Liao Yingqian , Mangano Marco , Pacini Bernardo , Maki Kevin , Martins Joaquim , Sun Jing , Pan Yulin 
Published: August 2023

Abstract
Hydrokinetic turbines extract kinetic energy from moving water to generate renewable electricity, thus contributing to sustainable energy production and reducing reliance on fossil fuels. It has been hypothesized that a duct can accelerate and condition the fluid flow passing the turbine blades, improving the overall energy extraction efficiency. However, no substantial evidence has been provided so far for hydrokinetic turbines. To investigate this problem, we perform a CFD-based optimization study with a blade-resolved Reynolds-averaged Navier--Stokes (RANS) solver to explore the design of a ducted hydrokinetic turbine that maximizes the efficiency of energy extraction. To handle the high-dimensional design space of the blade and duct geometry, we use a gradient-based optimization approach where the gradients are computed using the adjoint method. The final design is re-evaluated through higher-fidelity unsteady RANS (URANS) simulations. Our optimized ducted turbine achieves an efficiency of about 54% over a range of operating conditions, higher than the typical 46% efficiency of unducted turbines.
Factors Predict the Stroke Specific Quality Of Life In Post Stroke Aphasia Patients in Pakistan
Authors: Kanwal Raheela , Kiyani Humaira Shamim , Aftab Anam , Khan Muhammad Manan Haider , Omer Aadil , Shah Syed Tariq , Haroon Ramsha , Awan Waqar Ahmed 
Published: August 2023

Abstract
Background
Stroke-specific quality of life (QoL) is an important outcome measure in stroke rehabilitation, reflecting the impact of stroke and its associated impairments on an individual's overall well-being and daily functioning. Understanding the factors that predict stroke specific QoL in post-stroke aphasia patients in Pakistan is crucial for developing targeted interventions and improving the rehabilitation process.
Objective
to determine the factors predicted the stroke specific quality of life in post stroke aphasia patients in Pakistan.
Methodology
: This cross-sectional analytical study was conducted in 18 months from June 2021 to December 2022 at RHS Rehabilitation Centre Islamabad Pakistan. A total of n = 134 independent participants with fluent and non-fluent aphasia at least six-month post stroke, and able to follow one step command were included in the study through non-probability convenient sampling technique. The stroke specific quality of life (SS-QoL) scale was used to assess the quality of life in the participants, while the list of predictors was developed from the literature. SPSS version 21 was used for statistical analysis.
Result
A multiple regression was run to predict the quality of life from marital status, gender, family status, patient's socioeconomic status, types of strokes, types of aphasia, and comorbidities. These variables statistically significantly predicted quality of life {F(13,120) = 10.366, p < 0.001}. All variables cause 47.8% (Adj. R2 = 0.478) variance in stroke specific quality of life in aphasia patients.
Conclusion
the male gender, married marital status, middle and upper socioeconomic status, ischemic stroke compared to hemorrhagic stroke, fluent aphasia, and the cardiac disease compared to other comorbidities positively affect the quality of life in post stroke aphasia patients. But age and the family system did not show any impact on the quality of life.
A fresh start: the impact of disease uncertainty and self-efficacy on readiness for return-to-work among young and middle-aged colorectal cancer patients with stoma
Authors: Ren Yulan , Zhou Ying , Xia Rui , Yang Yao , Yang Yuan , Tian Di , Lin Yuxia , Zhong Meihua , Xiao Xueying , Wang Qiao , Su Xi 
Published: August 2023

Abstract

Purpose
To explore the influence of disease uncertainty and self-efficacy on the readiness for return-to-work (RRTW) among young and middle-aged colorectal cancer (CRC) patients with stoma.
Methods
An observational, cross-sectional study was conducted among patients with stoma who had worked before their CSCdiagnosis. Demographicinformation, the Readiness for Return-To-Work Scale, the Mishel Uncertainty in Illness Scale for Adults (MUIS-A), and the Stoma Self-Efficacy Scale (SSES) were used as the research instruments. Univariate and multivariate analyses were performed.
Results
The results showed that weekly working hours before the diagnosis and stoma self-efficacy promoted the advance of the level of patients' RRTW; yet, the lack of information and unpredictability dimensions of the disease uncertainty, post-operative time, and type of work hindered it.
Conclusion
In light of the theoretical framework and the impact of disease uncertainty and self-efficacy on RRTW, we suggest that healthcare staff should provide targeted occupational rehabilitation recommendations for patients at the different stages of RRTW and enhance the level of RRTW in terms of disease uncertainty and self-efficacy to boost the occurrence of returning-to-work. Furthermore, it is also critical to strengthen workplace support, appeal to the public to improve the tolerance of patients with stoma, and advocate the improvement of the healthcare system and the relevant social insurance system to help patients make a fresh start.
Variable stars in the field the Galactic bulge globularcluster NGC 6522
Authors: Ferro A. Arellano , Prudil Z. , Yepez M.A. , Fierro I. Bustos , Luna A. 
Published: August 2023

Abstract
An analysis of the variable stars projectedon the field of the Galactic bulge globular cluster NGC6522 is presented. We aimed to differentiate betweenfield stars and true cluster members, and to use ofthe later as indicators of distance and metallicity ofthe cluster. The light curves employed were obtainedfrom the OGLE III and OGLE IV databases, supple-mented with data provided by the Gaia-DR3. Vari-ables of the types RR Lyrae, type II Cepheids, Long Pe-riod giants (LPV) and eclipsing binaries were detectedand their peculiarities were discussed. The proper mo-tions from Gaia-DR3 of were employed to distinguishcluster member stars from field objects. A differen-tial reddening map enabled the production of a cleaner Color-Magnitude diagram. From three RRc clustermember stars we derived [Fe/H]_UVES=–1.16 ±0.09; and D = 8.77 ± 0.16 kpc. The variable V24 with a promi-nent phase modulation resulting from period changesin a time scale of ∼ 1100 days is discussed.
LSM Tree Optimization Through The Implementation of Cuckoo Filters
Authors: Valverde Humberto Cesar Villalta , Kim KwangSik , Kim Kisu , Kwon Jinman , Lim Jaechoon , Jun Yongjoo 
Published: August 2023

Abstract
This study aims to develop an LSM tree that uses two different kinds of probabilistic data structures (PDS). These two data structures are the Bloom Filters and the state-of-the-art Cuckoo Filter released in 2014 by Fan. Cuckoo filters are a perfect choice for saving space and also for deleting keys that are not needed in the algorithm so the filters are synchronized with the keys of all the SSTables. The implementation in this study of Cuckoo filters showed three main advantages (1) Keys that are deleted in the SSTables are immediately reflected in the Cuckoo Filters (2) When SSTables are merged, Cuckoo Filters are also merged by measuring its load factor for availability (3) The performance of Cuckoo Filters compared to Bloom filters after deleting and query shows better performance despite that cuckoo filters are also being updated. This approach is expected to reduce storage space and the amount of time for queries and deletions on the overall data structure. This new optimized LSM tree is expected to be implemented in HBase as future work to check its performance with a real-world database for more empirical results.
CMMSE: On the variable inverse sum deg index: Theory and applications
Authors: Bermúdez José Antonio Méndez , Reyes Rosalio , Almira José M. Sigarreta , Villeta María 
Published: August 2023

Abstract
A large number of topological indices of the form ∑ uv∈E(G) F(du, dv) are studied in mathematical chemistry, where uv denotes the edge of the graph G connecting the vertices u and v, and du is the degree of the vertex u. Among them the variable inverse sum deg index ISDa, with F(du, dv) = 1/(dau+dav). The aim of this paper is to obtain new mathematical properties for the ISD index and to characterize extremal graphs with respect to them. In the same sense, a quantitative structure property relationship (QSPR) study of this index was performed.
A permutation-based funnel plot for subgroup analysis
Authors: Veltri Carlo 
Published: August 2023

Abstract
This article presents an extension to the Subgroup Explorer, an interactive R Shiny app used for explorative post-hoc subgroup screening in clinical trials. The original method calculates point estimates for all subgroups in a clinical trial and visualizes them in a scatter plot. The proposed extension introduces confidence intervals for the treatment effect estimates, obtained through the inversion of permutation tests. The confidence intervals are constructed for a larger number of point estimates, allowing for a twodimensional confidence region along the funnel plot. The method's performance is evaluated on synthetic clinical trial data.
A New Ensemble Method for Brain Tumor Segmentation
Authors: Laouali Souleymane Mahaman , Chebbah Mouna , Nakouri Haïfa 
Published: August 2023

Abstract
In the medical field, Magnetic resonance image (MRI) brain tumor segmentation is highly crucial and important. Tumor segmentation can help in diagnosis and prognosis, overall growth predictions, Tumor density measures, and care treatment plans needed for patients. However, this task is extremely challenging due to low contrast, noise in medical images, and to the voluminous size of data. This work focuses on improving medical image semantic segmentation using a time-efficient ensemble learning approach. We propose a novel ensemble deep approach using a Convolutional Neural Network and three Autoencoders to extract relevant features from brain MRIs, reduce dimensionality, then apply supervised learning for pixel-by-pixel binary classification to achieve tumor segmentation. Experiments show promising results with our model achieving a Dice Similarity Coefficient of 88.63%, a Jaccard Similarity Index of 79.58% and a Recall of 84.34%, thus demonstrating the model’s ability to identify the tumor’s pixels with precision while consuming fewer resources. Therefore, the segmentation performance is sufficiently addressed in terms of accuracy, reliability and speed.
Symmetry of the emergent inductance tensor exhibited by magnetic textures
Authors: Kagawa Fumitaka , Furuta Soju , Koshibae Wataru 
Published: August 2023

Abstract
Metals hosting gradually varying spatial magnetic textures are attracting attention as a new class of inductor. Under the application of an alternating current, the spin-transfer-torque effect induces oscillating dynamics of the magnetic texture, which subsequently yields the spin-motive force as a back action, resulting in an inductive voltage response. In general, a second-order tensor representing a material's response can have an off-diagonal component. However, it is unclear what symmetries the emergent inductance tensor has and also which magnetic textures can exhibit a transverse inductance response. Here we reveal both analytically and numerically that the emergent inductance tensor should be a symmetric tensor in the so-called adiabatic limit. By considering this symmetric tensor in terms of symmetry operations that a magnetic texture has, we further characterize the magnetic textures in which the transverse inductance response can appear. This finding provides a basis for exploring the transverse response of emergent inductors, which has yet to be discovered.
Use of GIS and Multi-criteria Analysis for Land Use Planning in Developing Countries: A case study of Land Use Suitability Analysis for Urban Development of Lalitpur District, Nepal
Authors: Thapa Narayan , Pant Pragya , Parsai Ritika , Mahata Aayush , Dulal Sujan 
Published: August 2023

Abstract
Nepal is facing rapid urbanization leading to unplanned land development/use. This research paper focuses on conducting a comprehensive land use suitability analysis for urban development in Lalitpur District, Nepal. By employing Geographic Information System (GIS) and Multi-criteria Analysis (MCA) techniques, this study aims to provide valuable insights into identifying suitable area for urban development and facilitating valuable insights into identifying suitable area for urban expansion and opening doors for informed decision making by planner and policy makers. By studying factors such as existing infrastructure which include land cover, population density, flood sensitivity, slope, digital elevation model (DEM), road network and proximity to brick factory, land fill site the study identified suitable areas for urban development in Lalitpur District. We divided the study area into four suitability classes: highly suitable, moderately suitable, marginally suitable, and not suitable. From our case study we found out that the highly suitable regions are typically flat, have low population densities, areas close to infrastructure, far away from landfill site, flood region and brick factory. Moderate suitable areas are typically hilly, have higher population densities, and areas farther from infrastructure. Marginal suitable areas are in floodplains, have steep slopes, and are near to industrial areas. Not suitable areas are too steep, highly prone to flood, too close to industrial areas, and have high population density. The findings of the analysis emphasize the importance of considering environmental factors in land use planning and urban development. It highlights the need to preserve green spaces, protect water bodies, and ensure the long-term well-being of residents. The results provide valuable insights for decision-makers and urban planners, enabling them to make informed decisions and allocate resources effectively.