bluuebunny/crossref_metadata_2025_split huggingface dataset:
Değirmendere Sualtı Topluluğunun Engellilere Yönelik Yapmış Olduğu Sualtı Dalış Faaliyetinin Engellilerin Kapasite Yoksunluğuna Etkisi
Authors: ÇOTUR Hüseyin , YENİHAN Doç. Dr. Bora 
Published: April 2023

1980’li yıllarda uygulanan neo-liberal politikalar nedeniyle Sivil Toplum Kuruluşlarının yapmış oldukları faaliyetler önem kazanmış Sivil Toplum Kuruluşları sosyal dayanışma, sosyal yardım ve yoksulluk yardımları gibi pek çok önemli faaliyette bulunmuşlardır. Kocaeli bölgesinde faaliyet gösteren bir Sivil Toplum Kuruluşu olan Değirmendere Sualtı Topluluğu (DESSAT) sosyal sorumluluk kapsamında dezavantajlı kesim olarak nitelendirilen engellilere yönelik 2011-2013 yılları arasında SCUBA dalış eğitimi faaliyetinde bulunmuştur.
Bu çalışmada; DESSAT’ın yapmış olduğu SCUBA dalış eğitimlerinin engellilerin kapasite yoksunluğuna etkileri, eğitmenlerin ve dalış faaliyetine katılan engellilerin deneyimleri ve gözlemleri incelenerek belirlenmeye çalışılmıştır. Çalışmanın amacı engellilerin kapasite yoksunluğunu azaltma faaliyetlerinde Sivil Toplum Kuruluşlarının rolleri konusuna dikkat çekerek farkındalık yaratmak, SUCUBA dalış eğitimi faaliyetinin engellilerin kapasiteleri yoksunlukları üzerindeki etkilerini araştırmak ve görüş/önerilerde bulunmaktır. Çalışma nitel bir çalışma olup tematik analiz tekniği kullanılarak yapılmıştır. SCUBA dalış eğitimi faaliyetinin engellilerin kapasite yoksunluklarına etkisinin belirlenmesi maksadıyla dalış eğitmenleri ve sualtı dalışı yapan engellilerle derinlemesine görüşmeler yapılmıştır. Araştırma sonucunda engelliler ve eğitmenlerle yapılan derinlemesine görüşmelerden elde edilen bilgiler değerlendirilmiş değerlendirme sonucunda SCUBA dalış faaliyetinin engellilerin sosyalleşmesine, toplum içerisindeki diğer faaliyetlere katılmasında, kendilerini mutlu ve huzurlu hissetmelerine, özgüvenlerinin artırılmasına, yapabilirlik olarak engellerinin ortadan kaldırılmasına önemli oranda katkısı sağladığı tespit edilmiştir.
Anahtar Kelimeler: Engelli, Sivil Toplum Kuruluşları, Kapasite Yoksunluğu, Yoksulluk, SCUBA.
Molecular markers as predictors of response to perioperative chemotherapy in locally advanced gastric cancer
Authors: Oganyan K. A. , Musaelyan A. A. , Lapin S. V. , Kupenskaya T. V. , Sveсhkova A. A. , Belyaev M. A. , Zakharenko A. A. , Orlov S. V. 
Published: April 2023

Introduction. Perioperative FLOT chemotherapy has improved prognosis in patients with locally advanced resectable gastric cancer (GC). However, in 80 % of cases, the tumor is resistant to the therapy, resulting in unnecessary toxicity and delayed surgical treatment.Aim. Evaluation of clinico-morphological patterns of microsatellite instability, HER2 gene amplification, changes in gene copy number and their relationship with the response to perioperative FLOT chemotherapy in patients with locally advanced resectable GC.Materials and methods. The retrospective study included 185 patients. All tumor samples were assessed for HER2 and microsatellite instability status. Among all cases there were 45 patients with locally advanced T2–4N1–2 M0 GC, who underwent a total or subtotal gastrectomy with D2 lymphadenectomy and perioperative chemotherapy with FLOT. Microsatellite instability detection was performed using fragment analysis, HER2 gene amplification testing – fluorescent in situ hybridization. Also 19 patients were tested for copy number changes of the FGFR1, FGFR2, KRAS, MET, EGFR, CCND1, MYC genes using Multiplex ligation-dependent probe amplification. The endpoints were progression-free survival and objective response rate.Results. Microsatellite instability was detected in 4.8 % (9/185) of GC cases. Microsatellite instability was associated with advanced age (p = 0.005), low grade of differentiation (p = 0.011), presence of tumor-infiltrating lymphocytes (p = 0.0004), and high preoperative CA 72–4 levels (p = 0.025). Prevalence of HER2 amplification was 7.5 % (14/185). It was associated with low grade of differentiation (p = 0.048) and metastasis in regional lymph nodes (p = 0.037). PFS in patients with HER2-positive (HER2 – human epidermal growth factor receptor 2) GC treated with perioperative FLOT chemotherapy (4/45) was significantly lower than in patients with HER2-negative GC: the median was 156 and 317 days, respectively (hazard ratio 0.49; 95 % confidence interval 0.16–1.47; p = 0.0006). There was no correlation between the presence of the alteration and ORR (p = 1.0). Progression-free survival in GC patients with KRAS amplification (3/19) was significantly lower comparing with patients without it: the median was 98 and 327 days, respectively (hazard ratio 0.29; 95 % confidence interval 0.07–1.19; p <0.0001). There was no association between an increase in KRAS copy number and objective response rate (p = 1.0). For microsatellite instability and other studied markers no statistically significant correlation with progression-free survival and objective response rate was found (p >0.05).Conclusion. The presence of HER2 and KRAS amplification have been shown as promising predictive markers of the treatment failure in patients treated with perioperative FLOT chemotherapy for locally advanced resectable GC.
A Method for Ranging and Positioning Casing with High-Intensity Magnets: Simulations and Experimental Studies
Authors: Hu Zhongzhi , Fu Shaojie 
Published: April 2023

Summary
Wellbores in the upper vertical section of cluster wells are typically positioned close together, resulting in a high possibility of wellbore collision accidents. In the drilling process, accurately determining the distance and bearing of the casings of adjacent production wells is key to controlling the wellbore trajectory to avoid collision accidents. In this study, a method is proposed that uses a high-intensity magnet to magnetize a close-range casing and subsequently measures the axial forces on the magnet to determine the casing distance and positioning. Based on the theoretical analysis of the magnet’s force, the boundary finite element method is used to numerically analyze the influence of the casing position on the magnet. The force on the magnet decreases exponentially with the increase in casing distance and decreases nonlinearly and rapidly as the angle increases. A method to determine the position of a casing by analyzing the forces on two adjacent magnets is proposed. Based on the fitting of the simulation results, a mathematical model that calculates the casing distance and azimuth is established. A simple experimental device was designed to verify the reliability of the numerical simulations and casing ranging and positioning of the models. The maximal calculation error of the casing distance is determined at 5 mm, and the angle error is less than 2°. Moreover, the actual measured distance is less than 1 m. The angle between the axes of the high-intensity magnets has an important influence on the distance measurement range. The following steps are suggested to improve the detection range of the casing: Improve the remanence of the high-intensity magnet; extend the length of the force arm of the force measuring mechanism; apply a high-resolution torque sensor; and set a smaller angle between the axes of the high-intensity magnets. The proposed method can achieve high-efficiency measurements and calculations of the casing distance and bearing based on a simple measurement structure and low-cost manufacturing. It also has the potential to be applied to multiple short-range casing ranging and positioning scenarios.
Unsupervised Adversarial Domain Adaptation Regression for Rate of Penetration Prediction
Authors: Jiang Jun , Guo Zhenzhen 
Published: April 2023

Summary
The rate of penetration (ROP) refers to the speed at which a drill bit breaks through rock and deepens the drill hole. ROP is of great significance for drilling optimization and drilling cost savings. In real-world settings, the ROP data available for learning and training in a new oil field are scarce or even completely missing. In this paper, we propose a novel unsupervised multisource domain adaptation (MSDA) regression method for ROP that considers transferring the knowledge learned from a well-labelled source domain to the target domain with few labeled ROP data. First, we build a multisource unsupervised domain adaptation framework based on adversarial learning (WD-MUDA) which uses a weighted combination of multiple source domains to realize the fine-grained alignment of different data distributions. Specifically, we define a new similarity metric for different domains based on the Wasserstein distance. Furthermore, considering the uneven distribution of real drilling data samples, a novel regression loss is introduced to minimize the gradient discrepancy between multisource and target samples and improve the prediction accuracy of target samples. Extensive experiments on real drilling data sets reveal that the proposed method is effective and outperforms the state-of-the-art domain adaptation methods for ROP prediction.
Publication Patterns and Perceptions of Open Science in Indian Scholarly Community: Insights from a Survey
Authors: Das Susmita , Gutam Sridhar 
Published: April 2023

Abstract
In April and May of 2020, a survey was carried out to gather opinions and experiences related to open science publications and preprints. The majority of respondents were from India and specialized in agricultural science. The survey revealed that the "Journal's Impact Factor" was the most significant factor when selecting a suitable journal for publication. Most respondents who had published articles in Open Access had paid Article Processing Charges (APCs) for their publications, and the funding for such charges came from various sources, such as project funds, institutional support, and personal funds. While respondents expressed confidence in preprints and preferred institutional repositories as their preprint platform, the main drivers for sharing preprints were increased indexing, citation, and visibility, and the inclusion of preprints in assessments. Despite this, most respondents stated that they had never cited preprints, nor had their preprints been cited. This highlights the need for increased advocacy for Open Science and Preprints in India.
Sedimentary seagrass carbon stock and sources of organic carbon in small islands of Indonesia: comparing meadows inside and outside Marine Protected Areas
Authors: Rahayu Yusmiana P. , Kusumaningtyas Mariska A. , Daulat August , Rustam Agustin , Suryono Devi D. , Salim Hadiwijaya L. , Ati Restu N. A. , Sudirman Nasir , Kepel Terry L. , Hutahaean Andreas A. , Adi Novi S. 
Published: April 2023

Abstract

Seagrass meadows are an important component of coastal ecosystems globally, and they capture and store organic carbon in living biomass and sediments. Geographical estimates of blue carbon in seagrass habitats are regionally biased, with limited information from the Indo-Pacific region, including Indonesia. Seagrass extent in Indonesia is declining rapidly, and it has been suggested that Marine Protected Areas (MPAs) are an important instrument to support protection of seagrass ecosystems and its services. Thus, our study aimed to quantify and to compare sedimentary carbon stocks and sources of organic carbon in seagrass meadows located in undisturbed areas outside MPA, disturbed areas outside MPA, and within MPA in three small islands in Indonesia. The sediment carbon stocks ranged from 19.81 to 117.49 Mg C ha− 1, with the highest stock measured inside MPA (77.15 ± 1.38 Mg C ha− 1), followed by undisturbed outside MPA (36.08 Mg C ha− 1), and lowest stock at disturbed outside MPA (21.86 ± 0.31 Mg C ha− 1). The predominant source of organic carbon in disturbed meadows was from coastal POM (~ 36%), while in MPA and undisturbed site the main source was seagrass, with ~ 38% and ~ 60%, respectively. The results of this study highlight the influence of MPAs on conserving carbon stock in seagrass ecosystems and provide important information on the importance of MPA’s in avoiding emissions caused by remineralisation of sediment organic carbon following seagrass degradation.
Radical-induced rapid humification of waste milk and the performance of derived slow release fulvic-like fertilizer
Authors: Zhu Yanping , Cao Yuxuan , Wang Chengjin , Shu Shihu , Zhu Jinpeng , Wang Dongfang , Xu He , Cai Dongqing 
Published: April 2023

Abstract
The direct disposal of waste milk (WM) leads to severe environmental pollution and resource loss. Considering the high content of nutrients, WM has a potential as an ideal raw material for organic fertilizer. In this work, base-activated persulfate (KOH/PS) was used as a new artificial humification technology to transform WM into product with 45.3% of fulvic-like acid (FLA) and 18.9% of humic-like acid (HLA) in 1 hour. Therein, FLA had more active groups (-COOH, -CNOH, -OH) than natural fulvic acid likely owing to hydroxylation, carboxylation and the Millard reaction. Reactive species of •OH and SO4−• generated in KOH/PS system may be related to degradation or polymerization reactions during humification. The product was mixed with attapulgite to fabricate a slow-release nano FLA fertilizer which could increase the yield of chickweeds by 107% compared with the blank as well as the abundance of beneficial bacteria in soil. Overall, this study provided a rapid method for the recycling of waste food and highly-concentrated organic wastewater, which may have a huge application prospect in sustainable agriculture.
Research on language simulation and speech recognition based on data simulation of Machine Learning System
Authors: Qian YANG , Honggai SHI 
Published: April 2023

AbstractIn recent years, human-computer interaction project has become a mainstream research topic in the field of artificial intelligence. Among them, the most important interaction mode is voice interaction mode, which is based on voice recognition technology and is also the main factor to promote the development of artificial intelligence technology itself. In addition, speech recognition and modeling in noisy background have also been fully developed. In the actual communication environment, in addition to the voice information of the communicator, there are also noisy background sounds, which will reduce the accuracy of speech recognition. Therefore, it is necessary to conduct modeling research on this problem to improve the recognition ability of the speech recognition model. In this context, this paper combines machine learning technology and artificial intelligence technology to conduct in-depth research to improve the performance of speech recognition model, achieve the balance between efficiency and performance, and run stably and easily. The system is mainly divided into user registration, data flow input and processing, identification model and output results and other modules. The experimental data show that the response time of the system is proportional to the number of test samples. Therefore, as long as resources are allocated reasonably, stable system response time can be obtained, and system performance and scalability can fully meet the requirements of language simulation tasks. In this paper, the optimization of language simulation system is completed through the comprehensive study of machine learning and artificial intelligence technology.
An Integrative Review of Research Evaluating Organisational Culture in Residential Aged Care Facilities
Authors: Churruca Kate , Falkland Emma , Saba Maree , Ellis Louise A , Braithwaite Jeffrey 
Published: April 2023

Abstract
Background
Evidence suggests that the culture of healthcare organisations, including residential aged care facilities (RACFs), is linked to the quality of care offered. The number of people living in RACFs has increased globally, and in turn, attention has been placed on the quality of care provided. This review aimed to identify how organisational culture is studied, sought to elucidate the results of previous studies, and aimed to establish what interventions are being used to improve organisational culture in RACFs.
Methods
We employed an integrative review design to provide a comprehensive understanding of organisational culture. Five academic data bases were searched (Ovid Medline, Scopus, PsycInfo, CINAHL, Embase). Articles were included if they were empirical studies, published in peer reviewed journals in English, conducted in a RACF setting, and were focused on organisational culture/climate.
Results
Ninety-two articles were included. Fifty-nine studies (64.1%) utilised a quantitative approach, while 24 (26.0%) were qualitative, and nine used mixed methods (9.8%). Twenty-two (23.9%) aimed to describe the culture within RACFs, while 65 (70.7%) attempted to understand the relationship between culture and other variables, demonstrating mixed and indeterminate associations. Only five (5.4%) evaluated an intervention.
Conclusions
This review highlights the heterogenous nature of this research area, whereby differences in how culture is demarcated, conceptualised, and operationalised, has likely contributed towards mixed findings. Future research which is underpinned by a sound theoretical basis is needed to increase the availability of empirical evidence on which culture change interventions can be based.
Machine-learning-revealed reaction statistics via 3D spectroimaging for copper sulfidation of adhesive layers in rubber/brass composite
Authors: Matsui Hirosuke , Muramoto Yuta , Kakubo Takashi , Amino Naoya , Uruga Tomoya , Ha Minh-Quyet , Dinh Duy-Tai , Dam Hieu , Tada Mizuki 
Published: April 2023

Abstract
The sulfidation of Cu derived from Cu-Zn alloy (brass) in S-containing rubber, which is used for plating steel-cord-reinforced rubber tires, is suggested to be the key reaction for adhesive behavior between brass and rubber in tires. However, the heterogeneous structures of rubber/brass interfaces have prevented us from understanding the sulfidation of metallic Cu in brass and the formation of Cu sulfides at the brass surface and buried rubber interface. We report visualizing the three-dimensional spatial location and chemical states of Cu species in a rubber/brass composite by three-dimensional (3D) X-ray spectroimaging with X-ray absorption fine structure-computed tomography during the aging process of the rubber/brass composite for the first time. Machine-learning derived reaction statistics for the 3D spectroimaging data revealed the reaction mechanism of the Cu sulfidation in the heterogeneous rubber/brass composite.
The decreasion of integrin α5β1/FAK associates with increased apoptosis of aortic smooth muscle cells in acute type A aortic dissection
Authors: Xue Mingming , Yang Yilin , Xing Lingyu , Liao Fengqing , Xu Feixiang , Chen Yumei , Wang Sheng , Chen Bin , Yao Chenling , Gu Guorong , Tong Chaoyang , Shao Mian 
Published: April 2023

Abstract
Background
Acute type A aortic dissection (AAAD) is a devastating condition with the human aortic smooth muscle cells (HASMCs) reduced proliferation and increased apoptosis. Integrin α5β1 and FAK are the important proangiogenic factors involved in regulating angiogenesis. The aim of the study was to investigate the role of integrin α5β1 and FAK in AAAD patients and the potential mechanisms.
Methods
The aortic tissue samples were collected from 8 AAAD patients and 4 organ donors obtained from Zhongshan Hospital of Fudan University. The level of apoptosis in the aortic tissues were assessed by immunohistochemical staining (ICH) and Terminal-deoxynucleoitidyl transferase mediated nick end labeling assay (TUNEL). The expression of integrin α5β1 and FAK were detected. Furtherly, integrin α5β1 was dificiently expressed in HASMCs and the interaction with FAK was detected by co-immunoprecipitation analysis (Co-IP). The levels of proliferation and apoptosis were assessed by cell-counting Kit-8 analyses (CCK-8) and flow cytometry after integrin α5β1 dificiently.
Results
The levels of integrin α5β1 and FAK were both significantly decreased in AAAD patients. Down-regulating the expression of integrin α5β1-FAK compound could remarkablely induce the increased apoptosis and decreased proliferation in HASMC, which indicated integrin α5β1-FAK might play a important role in the development of AAAD.
Conclusions
The down-regulaiton of integrin α5β1-FAK associates with increased apoptosis and decreased proliferation in aortic smooth muscle cells, and might be a potential therapeutic target for AAAD.
A scoping review of the self-reported compassion measurement tools
Authors: Jiang Hu , Wang Wenna , Mei Yongxia , Zhao Zhixin , Lin Beilei , Zhang Zhenxiang 
Published: April 2023

Abstract
Background: Compassion is closely linked to psychological well-being, and several assessment tools have been developed and studied to assess the level of compassion in different populations and for more precise measurement. There is currently a scarcity of comprehensive knowledge about compassion-related assessment tools, and our research provides an overview of these tools.
Aims: To collect exhaustively the tools used to assess compassion in order to serve as a resource for selecting tools for use in practice.
Methods: Focusing on compassion assessment tools, the authors conducted a thorough search of 10 Chinese and English databases from their establishment until August 14, 2022. The extracted data comprised the author, the year, the nation, the target population, and the primary evaluation contents. Using the COSMIN checklist, the methodological quality and measurement properties of the included studies were appraised. This scoping review was registered with the Open Science Framework and followed the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews) checklist.
Results:There were 15965 papers searched, and 36 compassion-related measurement tools were considered in this study. None of the 36 studies provided possessed all nine psychometric properties, as outlined by the COSMIN criteria. On the basis of a systematic evaluation of quality, measurement qualities were ranked. The results for internal consistency and content validity were relatively favorable, whereas the results for structural validity were variable and the results for the remaining attributes were either uncertain or negative. A Venn diagram was used to illustrate the overlapping groups of compassion measurement tools based on the three-way flow of compassion. An overview of the reference instrument and theoretical basis for the included studies was provided, and half of them did not contain any theoretical or scale-based evidence.
Conclusion: In this study, 36 compassion-related measuring instruments were identified, and the methodological quality and measurement properties of the included studies were acceptable. The included measurements in this study were found to be consistent with three-way compassion flows. Compassion measurement tools and compassion-related theories should be the focus of future research.