bluuebunny/crossref_metadata_2025_split huggingface dataset:
Managing pain in people with Crohn's Disease: study protocol for a feasibility testing of an Acceptance and Commitment Group Therapy intervention.
Authors: Czuber-Dochan Wladyslawa , Watson Natalie , Mawdsley Joel , Kent Alexandra , Duff Alexa , Moulton Calum , Norton Christine 
Published: February 2023

Abstract
This study will assess the feasibility of a group-based Acceptance and Commitment Therapy (ACT) intervention to reduce the impact of abdominal pain and its associated psychological burden in people with Crohn’s disease (CD).
Background: Chronic abdominal pain is a common symptom for patients with Crohn's disease, causing significant negative impact on their daily quality of life. Moreover, the pain does not consistently corelate with their disease activity, with almost half of patients experiencing significant levels of pain in remission. This lack of association between the disease and one of the prevalent symptoms is distressing for patients, and causes difficulty with medical management, as the strategies are unsatisfactory. An alternative approach is emerging in the use of psychological techniques such as Acceptance and Commitment Therapy (ACT) for chronic pain treatment in other conditions. This feasibility trial aims to explore whether this approach could be used in this population.
Methods: A cross over randomised control trial with quantitative and qualitative evaluation will be conducted. We will recruit 48 patients to take part in three waves of an ACT based group intervention for chronic abdominal pain with specific adaptations tailored to its presentation in Crohn's disease. In each wave, we will randomise to an active group who will engage in the group intervention first, and a wait-list control group, who will start the intervention later. Both groups will complete measures at baseline, week 8-10 and week 24 after randomisation with the crossover arm completing two additional sets after their intervention. Separately, participants will be asked to take part in a qualitative feedback interview with the lead researcher to discuss their experiences. This data will be analysed by the research team and patient representatives.
Discussion: We will measure the success of the recruitment (recruitment rates number of approached, eligible and consenting patients), participants’ willingness to be randomised, and to complete the study (follow-up questionnaire rates). Refusal, withdrawal, and dropout rates from the study will be recorded and calculated for both groups.
Utilization and contributing factors of sexual and reproductive health services in Ethiopia during COVID-19 pandemic፡ A systematic review and meta-analysis
Authors: Angaw Dessie Abebaw , Endehabtu Berhanu Fikadie , Gonete Tajebew Zayede , Dessie Kassahun , Jisso Meskerem , Tamiso Alemu , Yesuf Elias , Abera Netsanet , Abdisa Biru , Sime Habtamu , Yin Jessika ,   Kassu Ketema Gurmu4, Tilahun Binyam 
Published: February 2023

Abstract

Background: The COVID-19 pandemic has reduced access to and utilization of essential health services, including sexual and reproductive health services. The indirect supply-side and demand-side effects of the coronavirus pandemic has shown moderate service reduction scenarios can lead to a large number of additional maternal deaths
Objective: Determine the pooled proportion and contributing factors of sexual and reproductive health care in Ethiopia during the COVID-19 pandemic was the primary goal of this systematic review and meta-analysis.
Methods: The Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA-2020) statement guided the conduct of this systematic review and meta-analysis. Electronic databases like SCOPUS, EMBASE, PubMed, and Science Direct were used to search for the papers. Studies were searched utilizing additional data sources such as Google scholar's advanced search and Google. The COVID 19 period and the latest search dates of June 6, 2022 were used for the primary research.
Heterogeneity was evaluated using I2 and Q-statistics. Wherever possible subgroup analysis was planned by study setting, and overall risk of bias (study quality). To test the small study effect; funnel plot and egger's test were applied in the Meta-analysis
Result: A total of six studies with 3848 participants included in this Meta-analysis. the pooled proportion of sexual and reproductive health service utilization reported by 6 studies was 32% (95%CI (18,46%)). In the sub group analysis, the pooled proportion of SRH service utilization for study done at the community level was 26% (95% CI:6-46%) and 38% (95% CI: 26-50%) among institutional based studies. Participants age 20-24 (OR=2.4 95% CI:1.07-5.3) Participate in youth club (OR=2.74; 95% CI:10.07-6.99), Ever had sexual partner (OR=1.65; 95% CI:1.11-2.45), Participated in peer-to-peer education (OR=1.71; 95% CI:1.12-2.62), and having pocket money (OR=2.5;3 95% CI:1.03-6.19) where variables had positively associated with sexual and reproductive health service utilization.
Conclusion: The pooled SRH service utilization in Ethiopia during COVID 19 was decreased compared to SRH service utilization before the pandemic. Participants age 20-24, Participate in youth, ever had sexual partner, participated in peer-to-peer education, and having pocket money where variables had positively associated with sexual and reproductive health service utilization.
A novel vibration-reduction motion planning method for fast moving mass traveling along flexible structures
Authors: Wang Xiaoming , Wang Enmei , Xing Jian , Zhou Wenya 
Published: February 2023

Abstract
Many classic components or equipment in the fields of aerospace, robotics, and civil engineering, can be classified into a flexible structure with moving components actively traveling on it, which constitutes a self-excited system and exhibits complex nonlinear dynamic coupling effects between the flexible substrate and moving mass. The excited structural vibration due to moving mass motion will bring challenges to the stability and mission effectiveness of the whole system, especially in the case of short-time and fast movement. Thereby, the paper presents analyses and optimization of the motion profiles of a moving mass traveling on a flexible simply supported beam with the goal of reducing the self-excited structural deflection and vibration. The dynamic responses imply that the moving mass would induce evident motion-induced dynamic deflection and residual vibration, and such effects highly depend on the motion profile. A high-efficiency motion planning approach is imposed by employing the quintic spline curve and Kriging surrogate model based optimization algorithm combined with the expected improvement infilling-sampling criterion. The favorable motion profiles can be found by using only 2 waypoints and approximately 100 samplings. In the case of minimization of the transient deflection amplitude, lower transient deflection, which is even lower than the static value, can be obtained using the optimized motion profile. In the case of minimization of residual vibration energy, a smooth deformation history of the substrate beam can be produced while the vibration energy has also been significantly reduced. Using the minimization of residual vibration energy as an objective function is recommended as a preferable way in the motion planning issue. Improved motion profiles with shorter terminal time are obtained and proved the effectiveness and robustness of the proposed optimization approach. The proposed approach and associated results could provide a feasible way to design a favorable moving mass motion from the perspective of vibration reduction for flexible structures.
Determining the drilling mud window by integration of geostatistics, intelligent, and conditional programming models in an Oilfield of SW Iran
Authors: Kianoush Pooria , Mohammadi Ghodratollah , Hosseini Seyed Aliakbar , Khah Nasser Keshavarz Faraj , Afzal Peyman 
Published: February 2023

Abstract

Accurate knowledge of pore and fracture pressures is essential for drilling wells safely with the desired mud weight (MW). Overpressure occurs when the pore pressure is higher than the normal hydrostatic pressure. There is a challenge regarding the pressure studies domain in an oilfield in SW Iran, where lack of geo-mechanical data limits exact mud window calculation. Also, the reservoir generally consists of carbonate rocks and contains no shale interbeds, so mechanical stratigraphy based on Gamma ray could not be applied. This study is to provide safe drilling considering MW to prevent the flow or loss in the vicinity of the new wells in the studied field. In this research the formation pressures and mud window models are determined by combining geostatistical, intelligent, and conditional programming models and compared with real data. The conditional programming was also used to correct small out-of-range data. The highest correlation between the final effective pressure and velocity cube was observed in lower Fahliyan Formation with 0.86 and Ilam with 0.71.The modeled MW difference ranged between 2.5 and 30 PCF. Also, the maximum modeled MW is 150 PCF in the upper Fahliyan Formation. Heavy mud of more than 130 PCF is suggested for drilling the Khalij member and continues to the end of stratigraphy column. Best observed correlation comparing the drilled and modeled MW, especially achieved in the Fahliyan reservoir Formation with more than 100 PCF and the Ilam Formation with 80-100 PCF. Finally, 3D formation pressures is presented and recommended for further safe drillings.
The DDUP protein encoded by the DNA damage-induced CTBP1-DT lncRNA confers chemoresistance in ovarian cancer
Authors: Ren Liangliang , Qing Xingrong , Wei Jihong , Mo Haixin , Liu Yuanji , Zhi Yaofeng , Lu Wenjie , Zheng Mingzhu , Zhang Weijian , Chen Yuan , Zhang Yuejiao , Pan Taijin , Qian Zhong , Li Ronggang , Zhang Xin , Ruan Xiaohong , Yu Ruyuan , Li Jun 
Published: February 2023

Abstract
Aberrant DNA damage response (DDR) signaling is one of major reasons underlying chemotherapy failure in cancer, and understanding the mechanism underlying aberrant DDR signaling would aid in developing novel strategies for overcoming cancer chemoresistance. The present study demonstrated that the expression of the DDUP microprotein, encoded by the CTBP1-DT lncRNA, increased in chemotherapy non-response ovarian cancer cells and was inversely correlated to platinum-based chemotherapy response. Using a patient-derived human cancer cell model, we observed that the formation of DDUP foci, which is induced by DNA damage, played an important role in platinum-based chemotherapy resistance through dual RAD51C-mediated homologous recombination (HR) and proliferating cell nuclear antigen (PCNA)-mediated post-replication repair (PRR) mechanisms. These mechanisms are mediated via interactions with RAD18/RAD51C and RAD18/PCNA complexes at the sites of DNA damage and sustained RAD18-mediated DNA damage signaling. Notably, treatment with an ATR inhibitor disrupted the DDUP/RAD18 interaction and abolished the effect of DDUP on prolonged DNA damage signaling, which resulted in the hypersensitivity of ovarian cancer cells to platinum-based chemotherapy in vivo. Altogether, the study provides insights into DDUP-mediated aberrant DDR signaling in cancer chemoresistance and describes a potential novel therapeutic approach for the management of platinum-resistant ovarian cancer.
Optimized interest forwarding in information centric vehicular networks using general secretary problem
Authors: Samantha Surya , Dutta Nitul 
Published: February 2023

Abstract
Vehicular networks of current era is not limited only to road safety and traffic management. It is been widely accepted as a network for information sharing, social networking and entertainment. With the advent of smart vehicles, the demand of vehicular network centric applications are getting popular. In one way, these applications demand faster data access and on the other hand, the underlying challenges of vehicular networks such as intermittent connectivity, low bandwidth and unpredictable vehicle movements impose considerable hindrance on communications. That is why, the vehicular communication is moving towards information centric approach so that the benefits of Information Centric Network (ICN) can be utilized. However, inherent challenges of vehicular communication and the lack of adequate protocols to implement content centric approach makes the extension of ICN into vehicular communications difficult. In ICN, a node generates interest packets to find a content. The interest is forwarded to an appropriate cache store to get the data. Hence, efficient forwarding of interest packets can considerably improve the content retrieval delay and can reduce network load. The interest forwarding techniques designed for wired ICN are not suitable for vehicular network due to computational complexity and bandwidth crisis. Hence, Information Centric Vehicular Network (ICVN) demands a new design for interest forwarding. Influenced by the need of the current time in vehicular communication, this research is aimed at developing an efficient interest forwarding mechanism for ICVN. The proposed algorithm models the interest forwarding task as a general secretary problem and finds the best node (or set of nodes) in the network to forward the interest packet. The protocol performance is examined in a simulation testbed designed in ndnSim-2.0 and compared with existing forwarding approaches. Observation demonstrates a better performance of the said vehicle with respect to content retrieval latency and network overhead.
Development and Validation of a Computed Tomography-Based Radiomics Signature to Predict “Highest-risk” From Patients with High-risk Gastrointestinal Stromal Tumor
Authors: Zheng Jiabin , Liao Qianchao , Chen Xiaobo , Hong Minping , Liu Zaiyi , Li Yong 
Published: February 2023

Abstract
Purpose
To develop and validate a preoperative enhanced CT-based radiomics nomogram for prediction of recurrence or metastasis in patients with high-risk gastrointestinal stromal tumor (GIST).
Method
100 high-risk GIST patients (training cohort: 60; validation cohort: 40) with preoperative enhanced CT images were enrolled. The radiomics features were extracted and a risk score was built using least absolute shrinkage and selection operator (LASSO)-Cox model. The clinicopathological factors were analyzed and nomogram was established with and without radiomics risk score. The concordance index (C-index), calibration plot, and decision curve analysis (DCA) were used to evaluate the performance of the radiomics nomograms.
Result
11 radiomics features associated with recurrence or metastasis were selected. The risk score was calculated and significantly associated with disease-free survival (DFS) in both training and validation group. Cox regression analysis showed that Ki67 was an independent risk factor for DFS (p = 0.004, HR 4.615, 95%CI 1.624–13.114). The combined radiomics nomogram, which integrated the radiomics risk score and significant clinicopathological factors, showed good performance in predicting DFS, with C-index of 0.832 (95% CI:0.761–0.903), which was better than the clinical nomogram (C-index 0.769, 95% CI: 0.679–0.859) in training cohort. The calibration curves and the decision curve analysis (DCA) plot suggested satisfying accuracy and clinical utility of the model.
Conclusion
The CT-based radiomics nomogram, combined with the clinicopathological factors and risk score, have good potential to assess the recurrence or metastasis of patients with high-risk GIST.
Validating virtual administration of neuropsychological testing in Parkinson disease: a pilot study
Authors: Weintraub Daniel , Gallagher Julia , Mamikonyan Eugenia , Xie Sharon , Tran Baochan , Shaw Sarah 
Published: February 2023

Abstract
Background
COVID-19 has highlighted the need for remote cognitive testing. Virtual testing may lessen burden and can reach a larger patient population. The reliability and validity of virtual cognitive testing in Parkinson disease (PD) is unknown.
Objectives
To validate neuropsychological tests for virtual administration in PD.
Methods
Participants enrolled in an observational, cognition-focused study completed a rater-administered cognitive battery in-person and via video conference 3–7 days apart. Order of administration was counterbalanced. Analyses to compare performance by type of administration (virtual versus in-person) included paired t-test, intraclass correlation (ICC) and linear mixed-effects models.
Results
Data for 35 (62.9% male) PD participants (62.5% normal cognition, 37.5% cognitive impairment) were analyzed. Only the semantic verbal fluency test demonstrated a difference in score by administration type, with a significantly better score when administered virtually (paired t-test p = 0.011 and linear mixed-effects model p = 0.012). Only the Dementia Rating Scale-2, Trails A test and phonemic verbal fluency demonstrated good reliability (ICC value 0.75–0.90) for virtual versus in-person administration, and values for visit 1 versus visit 2 were similarly low overall. Trail making tests were successfully administered virtually to only 18 (51.4%) participants due to technical issues.
Conclusions
Virtual cognitive testing overall is feasible in PD, and virtual and in-person cognitive testing generate similar scores at the group level, but reliability is poor or moderate for most tests. Given that mode of test administration, learning effects and technical difficulties explained relatively little of the low test-retest reliability observed, there may be significant short-term variability in cognitive performance in PD in general, which has important implications for clinical care and research.
Investigation the Effect of Rhamnetin on Mice Injected with Solid and Ehrlich Ascites Tumor
Authors: Bozkurt Özlem , Yılmaz Seher , Alpa Şerife , Nisari Mehtap , Yay Arzu Hanım , Ertekin Tolga , Tokpınar Adem , Al Özge , Bozkurt Ali , Kökbaş Umut , Alkan Işınsu , Unur Erdoğan 
Published: February 2023

Abstract
Background and aim: Rhamnetin is a flavonoid which contained in especially clove, such as apple, tea, onion plant. Rhamnetin has been used in cancer research due to its antitumor and antioxidant properties. In this study, effects of rhamnetin administration at different doses on ascites and solid tumors were investigated in Balb/C mice bearing EAT model that originating from rat breast adenocarcinoma.
Experimental procedure: Overall, 92 Balb-c mice were used in this study. EAT cells (1x10⁶cells) that harvested from stock animals were injected to all rats via intraperitoneal and subcutaneous route. Rhamnetin (100µg/kg-200µg/kg) were given intraperitonealy and subcutaneously during 10 and 15 days to the animals bearing ascites tumor and solid tumor respectively. Throughout experiments, weight changes were recorded in all groups. The maximum weight increase was observed in the control group among all groups (ascites and solid tumor groups). In the treatment groups, the least weight increase were determined in 200 µg/kg rhamnetin applied. The lowest increase in tumor volume was observed in the group that received 200µg/kg rhamnetin(2.84) when compared to tumor control group(3.67).
Result and conclusion: We determined that the number of live and dead cells in the treatment groups administered with the mean rhamnetin dose(2.5 µg/ml) was found in the count made in the EAT cell line after the incubation periods. We observed that rhamnetin plays an important role against cancer formation. We have obtained important results in our study, but detailed studies on the relationship between rhamnetin and cancer are needed
Finite time adaptive neural intermittent control for a class of nonlinear dynamical systems
Authors: Wang Weifeng , Hu Junhao , Mei Jun , Wang Sixin 
Published: February 2023

Abstract
In this paper, the semiglobal practical finite-time stable (SGPFTS) problem for a class of nonlinear nonstrict feedback systems is investigated by adaptive neural networks (NNs) intermittent control strategy. This work is motivated by that available differential inequalities to cope with intermittent control do not work for nonstrict feedback nonlinear system (NFNS), since the system dynamics is unknown. In order to deal with this problem, a novel differential inequality and adaptive neural intermittent control are established to handle intermittent control, which generalizes previous works. Then, based on this lemma with the proposed adaptive NNs intermittent control scheme, backstepping design process, finite-time technique and Lyapunov stability theory, sufficient conditions are presented to guarantee the achievement of SGPFTS for NFNS. Furthermore, a networked-based one-link arm dynamics system is applied to the theoretical results. Finally, corresponding simulation results are given to illustrate the effectiveness of the theoretical results and the practicability of the proposed control method.
Developing a group urban tourism recommendation system based on the modified k-means algorithm and fuzzy best-worst method
Authors: samani najmeh , Aliyari Somayeh , Jelokhani Mohammadreza 
Published: February 2023

Abstract
Group recommendation is among the major concerns in urban tour guiding systems. The main challenge is the uncertainty of users’ opinions in conjunction with their preferences, which ultimately leads to the recommendation of unsuitable locations. As the number of unsuitable points of interest (POIs) for each person (tourist) increases, the efficiency of the tour guiding system faces a major decline. This paper seeks to model the uncertainty of urban tourists’ opinions regarding POIs by introducing a two-stage approach called ‘first-clustering, second recommending. The main contributions are the clustering of users based on their attributes via a modified k-means algorithm and the management of opinions using the fuzzy best-worst method (F-BWM). The proposed method is programmed for mobile applications under the name ‘G-tourism’. 485 different users registered in the mobile application and completed all the application wizard pages and 12 tours have been recognized. For each group, the POIs have been weighted, ranked, and recommended according to their members' pairwise comparisons based on BMW and F-BWM. The obtained results have been evaluated based on precision, recall, F-score measures, and user satisfaction. The accuracy assessment of running F-BWM at the second step indicates the higher accuracy of the system and user satisfaction rather than BWM.