bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analyzing Persian Wikipedia's citations to discover the effectiveness of Persian scientific papers: applied web mining techniques
Authors: Rahimi Forough , Danesh Farshid 
Published: July 2023

PurposeThe main objective of this study is to evaluate the impact of Persian Scientific Papers (PSPs) on Persian Wikipedia by studying Wikipedia's citations to these papers.Design/methodology/approachThe present study is applied research, which has been performed by the web-mining method, such as downloading web pages, extracting information (references), identifying papers, detecting peer-review journals and calculating the frequency rates. The statistical population included 10,000 Persian Wikipedia Pages (PWPs) that were analyzed in two rounds with a six-month interval.FindingsThe number of pages containing the Persian references section was 3,994 and 4,063 out of the 10,000 pages extracted in the first and second rounds. The ratio of pages that cited scientific sources (58 and 67 pages) to the pages extracted from the PWP was equal to 0.58 and 0.67%. The ratio of pages that cited scientific sources to pages with Persian references in each round was equal to 1.45 and 1.64%. The number of references extracted from the PWP in each round equaled 30,441 and 35,891. Eight titles from reputable Persian journals had received at least three citations from Wikipedia.Originality/valueThe present study has determined the extent of interaction between science and society (knowledge flow) in the form of citations from Wikipedia articles to articles in peer-reviewed journals. The study of this issue in Persian Wikipedia in more than 2000 Persian peer-reviewed journals shows the originality of the present paper. Studying citation reliability in a collaborative and openly editable platform is another originality of the work.
Netnography: A novel methodology for nursing research
Authors: Smith Susan E. , Sivertsen Nina , Lines Lauren , De Bellis Anita 
Published: July 2023

AbstractAimThe aim of this paper is to critically reflect on our team's experience of using netnography to explore vaccine‐hesitant parents and pregnant women, a group who have traditionally been difficult to recruit to research studies and a methodology that is underutilized in nursing research.DesignThis paper takes the form of a discussion paper that will utilize data obtained from a qualitative netnographic study. Relevant literature was searched including 2015–2023.MethodThis paper utilized data obtained from a qualitative study that used netnography as methodology and an online minable data source. Netnography is a relatively new methodology that uses the online environment to explore digital cultures and study networked society. It pays particular attention to cultural insights and conditions that impact the human experience. This methodology is particularly relevant to nursing research which is often humanistic and always conducted to ensure optimal patient outcomes.ResultsUsing netnography for the first time has resulted in four main insights. These include the adaptability of the process; the creativity involved in designing the site; the ready acceptance of the site by participants and the co‐creation knowledge that resulted.ConclusionsNetnography is a creative methodology that was successful in accessing and engaging the vaccine‐hesitant community, a group who are often marginalized. Netnography has the advantage of using a platform that is familiar and safe for many people and provides access to an extensive minable data source.
Ciprofloxacin‐resistantST198SalmonellaKentucky in a hospitalized American black bear (Ursus americanus), with evidence of subsequent nosocomial transmission
Authors: Cummings Kevin J. , Siler Julie D. , Goodman Laura B. , Childs‐Sanford Sara E. 
Published: July 2023

AbstractGlobal emergence of ciprofloxacin‐resistant ST198SalmonellaKentucky poses an important public health threat. While conductingSalmonellasurveillance among wildlife patients admitted to our veterinary medical teaching hospital in central New York, we isolated multidrug‐resistant (MDR) ST198SalmonellaKentucky from an American black bear (Ursus americanus) in September 2020. The isolate was phenotypically resistant to numerous antimicrobial agents, including ceftriaxone and ciprofloxacin, and several antimicrobial resistance genes and mutational resistance determinants were detected. Between April and July 2021, the same strain of MDR ST198SalmonellaKentucky was also isolated from seven other wildlife patients and multiple hospital environmental locations, suggesting nosocomial transmission. Ciprofloxacin resistance is conferred by triple point mutations in the quinolone resistance‐determining regions (QRDRs), a genotypic profile indicative of Clade ST198.2. To our knowledge, this is the first report of this ciprofloxacin‐resistant clade being identified in animals or animal products in the United States. Timely resolution of the outbreak was achieved following efforts to further enhance environmental disinfection protocols and biosecurity measures at the hospital, with no known cases or positive environmental samples after July 2021.
A single-center retrospective study of the COCO technique in the treatment of chronic internal carotid artery occlusion
Authors: Chen Liuwei , Xu Yi , Li Lei , Ji Tao , Wang Yongpeng , Zhu Wenyu , Wang Feng , Zhang Quanbin 
Published: July 2023

ObjectiveTo introduce a novel endovascular recanalization method and to investigate its success rate, periprocedural complications, and early outcomes in patients with chronic internal carotid artery occlusion (CICAO). As this novel technique was designed to treatCICAOwith a fullcoaxial system, we named it the COCO technique.MethodsData from consecutive patients with symptomatic CICAO who underwent endovascular recanalization in our institution were retrospectively reviewed. The COCO technique allows extracranial angioplasty and stenting with occasional intracranial angioplasty and stenting as needed to be performed in a coaxial fashion. Patients’ demographic and clinical information, morphologic characteristics, procedural results, complications, and follow-up outcomes were recorded.ResultsForty-nine patients were enrolled in this study. The technical success rate was 89.8% (44/49). Four patients experienced intraoperative complications, two patients had a slight subarachnoid hemorrhage, and two patients had asymptomatic dissection. Distal embolization or carotid-cavernous arteriovenous fistula was not detected. In addition, three patients developed hemorrhagic complications and three developed postoperative ischemic complications. All these patients improved after conservative treatment and subsequent rehabilitation. During the median 6 (3–6) months of follow-up, one patient died of severe pneumonia and two patients experienced recurrent ischemic events. In patients with successful recanalization, modified Rankin Scale scores were lower at the 3-month follow-up than at baseline (1 (0–2) vs 2 (1–2), P=0.04). Restenosis was observed in six (15.8%) patients.ConclusionsOur study showed that the COCO technique is effective and safe for endovascular recanalization in patients with CICAO and has low periprocedural complications and favorable functional outcomes.
Left Ventricular Dysfunction Associated With Brain Death: Results From the Donor Heart Study
Authors: Khush Kiran K. , Malinoski Darren , Luikart Helen , Wayda Brian , Groat Tahnee , Nguyen John , Belcher John , Nieto Javier , Neidlinger Nikole , Salehi Ahmad , Geraghty P.J. , Nicely Bruce , Jendrisak Martin , Pearson Thomas , Patrick Wood R. , Zhang Shiqi , Weng Yingjie , Zaroff Jonathan 
Published: July 2023

BACKGROUND:
Left ventricular dysfunction in potential donors meeting brain death criteria often results in nonuse of donor hearts for transplantation, yet little is known about its incidence or pathophysiology. Resolving these unknowns was a primary aim of the DHS (Donor Heart Study), a multisite prospective cohort study.

METHODS:
The DHS enrolled potential donors by neurologic determination of death (n=4333) at 8 organ procurement organizations across the United States between February 2015 and May 2020. Data included medications administered, serial diagnostic tests, and transthoracic echocardiograms (TTEs) performed: (1) within 48 hours after brain death was formally diagnosed; and (2) 24±6 hours later if left ventricular (LV) dysfunction was initially present. LV dysfunction was defined as an LV ejection fraction <50% and was considered reversible if LV ejection fraction was >50% on the second TTE. TTEs were also examined for presence of LV regional wall motion abnormalities and their reversibility. We assessed associations between LV dysfunction, donor heart acceptance for transplantation, and recipient 1-year survival.

RESULTS:
An initial TTE was interpreted for 3794 of the 4333 potential donors by neurologic determination of death. A total of 493 (13%) of these TTEs showed LV dysfunction. Among those donors with an initial TTE, LV dysfunction was associated with younger age, underweight, and higher NT-proBNP (N-terminal pro-B-type natriuretic peptide) and troponin levels. A second TTE was performed within 24±6 hours for a subset of donors (n=224) with initial LV dysfunction; within this subset, 130 (58%) demonstrated reversibility. Sixty percent of donor hearts with normal LV function were accepted for transplant compared with 56% of hearts with reversible LV dysfunction and 24% of hearts with nonreversible LV dysfunction. Donor LV dysfunction, whether reversible or not, was not associated with recipient 1-year survival.

CONCLUSIONS:
LV dysfunction associated with brain death occurs in many potential heart donors and is sometimes reversible. These findings can inform decisions made during donor evaluation and help guide donor heart acceptance for transplantation.
Rapid implementation of Veterans Health Administration telehealth creative arts therapies: survey evaluation of adoption and adaptation
Authors: Story Kristin M. , Flanagan Mindy E. , Robb Sheri L. , Bravata Dawn M. , Bair Matthew J. , Otto David , Damush Teresa M. 
Published: July 2023

Abstract
Background
Creative arts therapies (CAT) are employed throughout the Veterans Health Administration (VHA) and are predominantly delivered in-person. Though telehealth delivery of CAT was used at several VHA facilities to increase services to rural Veterans, due to guidance from the Center for Disease Control and VHA that temporarily suspended or reduced in-person services, there was a large increase of CAT therapists enterprise-wide who adopted telehealth delivery. The aims of this study were to evaluate adoption and adaptation of CAT telehealth delivery and identify related barriers and facilitators.

Methods
We deployed a survey guided by the Consolidated Framework for Implementation Research and administered it via email to all VHA CAT therapists (N = 120). Descriptive statistics were used to summarize data and responses were compared based on therapists’ age, years of experience and CAT discipline. Open survey field responses were summarized, qualitatively coded, and analyzed thematically.

Results
Most therapists (76%) reported adopting telehealth with 74% each delivering > 50 CAT sessions in the prior year. Therapists adapted interventions or created new ones to be delivered through telehealth. Barriers included: technical challenges, control of the virtual space, and building rapport. Facilitators included added equipment, software, and infrastructure. CAT therapists adapted their session preparation, session content, outcome expectations, and equipment. CAT therapists reported being able to reach more patients and improved access to care with telehealth compared to in person visits. Additional benefits were patient therapeutic effects from attending sessions from home, therapist convenience, and clinician growth.

Conclusions
VHA CAT therapists used their inherent creativity to problem solve difficulties and make adaptations for CAT telehealth adoption. Future studies may explore CAT telehealth sustainment and its effectiveness on clinical processes and outcomes.
Automatic analysis framework based on 3D-CT multi-scale features for accurate prediction of Ki67 expression levels in substantial renal cell carcinoma
Authors: Yang Huancheng , Lin Jiashan , Liu Hanlin , Yao Jiehua , Lin Qianyu , Wang Jiaxin , Jiang Feiye , Wei Liying , Lin Chongyang , Wu Kai , Wu Song 
Published: July 2023

Abstract
Purpose
To investigate the effectiveness of an automatic analysis framework based on 3D-CT multi-scale features in predicting Ki67 expression levels in substantial renal cell carcinoma (RCC).

Methods
This retrospective study was conducted using multi-center cohorts consisting of 588 participants with pathologically confirmed RCC. The participants were divided into an internal training set (n = 485) and an external testing set (n = 103) from four and one local hospitals, respectively. The proposed automatic analytic framework comprised a 3D kidney and tumor segmentation model constructed by 3D UNet, a 3D-CT multi-scale features extractor based on the renal–tumor feature, and a low or high Ki67 prediction classifier using XGBoost. The framework was validated using a fivefold cross-validation strategy. The Shapley additive explanation (SHAP) method was used to determine the contribution of each feature.

Results
In the prediction of low or high Ki67, the combination of renal and tumor features achieved better performance than any single features. Internal validation using a fivefold cross-validation strategy yielded AUROC values of 0.75 ± 0.1, 0.75 ± 0.1, 0.83 ± 0.1, 0.77 ± 0.1, and 0.87 ± 0.1, respectively. The optimal model achieved an AUROC of 0.87 ± 0.1 and 0.82 ± 0.1 for low vs. high Ki67 prediction in the internal validation and external testing sets, respectively. Notably, the tumor first-order-10P was identified as the most influential feature in the model decision.

Conclusions
Our study suggests that the proposed automatic analysis framework based on 3D-CT multi-scale features has great potential for accurately predicting Ki67 expression levels in substantial RCC.

Critical relevance statement
Automatic analysis framework based on 3D-CT multi-scale features provides reliable predictions for Ki67 expression levels in substantial RCC, indicating the potential usage of clinical applications.

Graphical abstract
Evaluation of the first three years of Vgos 24 h sessions using a Kalman filter with C5++
Authors: Diamantidis Periklis-Konstantinos , Haas Rüdiger 
Published: July 2023

AbstractWe analyzed the first three years of VGOS 24 h sessions, and evaluated the performance in terms of Earth orientation parameters (EOP) and station positions. We estimated radio source coordinates which might be of particular importance in VGOS due to the different observing frequencies compared to legacy S/X VLBI. We investigated the impact of this procedure in the determination of the celestial reference, and detected possible increased crosstalk between radio source positions and nutation. We, thus, created an updated source coordinate catalogue that contains information from the VGOS observations and utilized that as our a priori for further analysis. We found that this procedure significantly attenuates mean biases in the estimated EOP time series. We then utilized a kalman filter with an empirically tuned stochastic modelling for nutation and polar motion and estimated repeatabilities on the 60–80 $$\mu$$
μ
as level for nutation, and 100–130 $$\mu$$
μ
as level for polar motion. The station position repeatabilities were evaluated to be 1.80 and 2.12 mm for the east and north components and 3.98 mm for the vertical, while the baseline length repeatabilities were estimated to be 4.22 mm at 6000 km. These results are promising with respect to the expected future VGOS performance, while increased attention should be paid to the celestial frame determination in the VGOS observing bands.
Graphical Abstract
Experimental Investigation on Shear Behavior of Partially Saturated Silty Soil under Constant Water Content and Constant Void Ratio Conditions
Authors: Ahmad Tufail , Kato Riko , Kuwano Jiro 
Published: July 2023

Abstract
Matric suction is a crucial parameter that affects how unsaturated soils behave in terms of shear strength. Understanding it is essential for solving geotechnical problems like the stability of unsaturated soil slopes, foundations, embankments, and retaining walls. To investigate the shear behavior in unsaturated soil, a double cell triaxial test apparatus is used in the current research to carry out a series of triaxial compression tests under constant water content and constant void ratio conditions. Samples of silty soil, named DL-clay, were prepared with three different degrees of compaction: 80 %, 83 %, and 86 %, and water contents of 20 % (optimum water content) and 25 %. The soil samples were consolidated isotropically under net confining pressures of 300 kPa and 500 kPa before being sheared with constant volume. In another series of tests, water was infiltrated into the sample at 0 kPa deviatoric stress before the start of shearing with constant volume. Some specimens were also sheared with constant confining pressure for comparison purposes. From the test results, it is ascertained that maintaining a constant volume, i.e., constant void ratio during shearing, gives contour-like trajectories that can aid in defining the state boundary surface of unsaturated soil. It was also observed that within the axial strain range of 0–2 %, there was unusual behavior of a temporary sudden dip in the axial stress, which was more perceivable for samples having a high value of initial matric suction.
Effect of Prescribed Fire on Soil Permeability in a Neotropical Savanna
Authors: Piontkowski Frederico , Salemi Luiz Felippe 
Published: July 2023

Abstract

Prescribed fire is a manner to decrease the amount of fuel which, otherwise, would be subjected to wild fires. However, the effect of such practice on soil physical properties still needs attention. The objective of the present study was to assess the effect of prescribed fire on some physical variables of a soil under the Brazilian Tropical Savanna, a fire-prone ecosystem. To do so, we sampled water repellency, infiltration capacity, and soil resistance to penetration in burned (prescribed fire) and unburned adjacent plots. There were no significant differences between burned and unburned plots for any of the variables. Therefore, in addition to the clear effects with respect to ecosystem flammability, here we demonstrated that prescribed fire does not significantly alter soil physical properties in the Brazilian Tropical Savanna. This demonstrates the soil physical properties maintenance under low intensity fire regimes.
An Outlook on Pathological Pathways of Diabetes and Molecular Mechanisms of Anti-diabetic Phytobioactives
Authors: Anwar Km Rukhsar , Badruddeen  , Akhtar Juber , Khan Mohammad Irfan , Ahmad Mohammad 
Published: July 2023

Background & Purpose:Diabetes is a disease that has affected many people worldwide. According to the World Health Organization, approximately 80% of humans still rely on conventional or folk medicament in developed countries. The effectiveness of herbal medicines was credited to the phytochemical components.Objective:This review aims to highlight the pathological pathways of diabetes and the antidiabetic mechanism of phytochemicals.Materials and Methods:This organized search was compiled from the databases such as PubMed, Scopus, Embase, ScienceDirect, Web of Science, and Google Scholar till February 2023.Results:Inflammatory and oxidative stress are mainly two examples of pathological pathways of diabetes that are explored. The reported antidiabetic phytochemicals work by increasing insulin secretion, lowering hepatic glucose output, controlling specific enzymes, and utilizing other mechanisms. For instance, studies on α-glucosidase inhibitors, modulation peroxisome proliferator-activated receptor-α, hypolipidaemic activity, antioxidants, inhibition of glycolytic enzymes like phosphoenolpyruvate carboxykinase, improvement of glycosylated haemoglobin and increased expression of glucose transporters have been conducted.Conclusion:Many natural secondary metabolites (phytochemicals) have significant potential for the manufacture of marketable, new, and efficient anti-diabetic medicines which can be used for clinical purposes.
Wpływ reformy rynku cukru w Unii Europejskiej na wyniki handlu cukrem w Polsce
Authors: Artyszak Arkadiusz 
Published: July 2023

Artykuł przedstawia zmiany w handlu zagranicznym cukrem, sprzedaży cukru kwotowego i pozakwotowego oraz ceny zbytu cukru kwotowego w latach 2004–2012 w Polsce. Reforma rynku cukru w Unii Europejskiej w 2006 r. spowodowała znaczne pogorszenie bilansu handlu zagranicznego Polski tym produktem w ujęciu wartościowym. Dopiero od 2012 r. obserwuje się poprawę sytuacji. Natomiast nasila się ujemny bilans w ujęciu ilościowym. Nie udało się osiągnąć jednego z podstawowych celów reformy, czyli znaczącego obniżenia cen cukru. Ceny sprzedaży cukru przez cukrownie po obniżeniu w latach 2007-2010, zaczęły wzrastać. Planowane w 2014 r., a obecnie przesunięte na nieokreślony termin, zniesienie limitów produkcji cukru może spowodować okresowe obniżenie jego cen na rynku Unii Europejskiej, ale w dłuższej perspektywie czasowej ich wzrost. Zmiana ta spowoduje także dalsze pogorszenie salda handlu zagranicznego cukrem w Polsce, ze względu na większe koszty produkcji cukru z buraka cukrowego niż z trzciny.
A Review of Enhancing Intrusion Detection Systems for Cybersecurity Using Artificial Intelligence (AI)
Authors: Markevych Michal , Dawson Maurice 
Published: July 2023

Abstract
The escalating complexity of cyber attacks demands innovative intrusion detection systems (IDS) to safeguard critical assets and data. The study aims to explore the potential of Artificial Intelligence (AI) in enhancing the IDS's ability to identify and classify network traffic and detect anomalous behavior. The paper offers a concise overview of IDS and AI and examines the existing literature on the subject, highlighting the significance of integrating advanced language models for cybersecurity enhancement. The research outlines the methodology employed to assess the efficacy of AI within IDS. Furthermore, the study considers key performance metrics such as detection accuracy, false positive rate, and response time to ensure a comprehensive evaluation. Findings indicate that AI is a valuable asset in enhancing the accuracy of AI for detecting and responding to cyber attacks. Nonetheless, the study also brings to light certain limitations and challenges associated with incorporating AI into IDS, such as computational complexity and potential biases in training data. This research emphasizes the potential of advanced language models like ChatGPT in augmenting cybersecurity solutions and offers insights into overcoming associated challenges for a more robust and effective defense against sophisticated cyber attacks.