bluuebunny/crossref_metadata_2025_split huggingface dataset:
Assessing the effectiveness and cost-effectiveness of a solution-focused resource-orientated approach (DIALOG+) to improving the quality of life for people with psychosis in India and Pakistan - a cluster RCT.
Authors: Bird Victoria Jane , Sajun Sana Zehra , Peppl Renata , Evans-Lacko Sara , Priebe Stefan , Singh Sawarn , Venkatraman Lakshmi , Ramachandran Padmavati , Pasha Aneeta , Malik Ashar , Qureshi Onaiza 
Published: December 2022

Abstract
Background: Severe Mental Illness (SMI) presents a major challenge worldwide, affecting approximately 5-8% of the world’s population. It causes significant distress to affected people, families and wider communities, generating high costs through loss of productivity and ongoing healthcare use. Over 75% of patients with psychosis receive inadequate care and experience a negative financial impact and reduced Quality of Life (QoL). It is therefore a priority to reduce the treatment gap by providing low-cost, effective interventions for people with psychosis.
Our research project, PIECEs, is designed to explore, adapt and test a low-cost, approach (DIALOG+) that makes use of existing resources to improve community-based care for patients with psychosis. The research will be conducted in two urban sites with high levels of socio-economic deprivation: Karachi, Pakistan and Chennai, India. DIALOG+ is a novel, technology-assisted and resource-oriented intervention, based on QoL research, concepts of patient-centred communication, IT developments and solution-focused therapy. However, the approach has not been rigorously tested within India and Pakistan. Our randomised controlled trial (RCT) aims to test the effectiveness and cost-effectiveness of DIALOG+ in improving the QoL and clinical outcomes for individuals with long-term psychosis being treated in the community in India and Pakistan.
Methods: To assess the acceptability, feasibility, and cost effectiveness of DIALOG+, we will conduct a cluster RCT with 210 patients and 14 clinicians in each country. The intervention will be used during a routine interaction between a clinician and a patient. It consists of a patient-centred assessment (the DIALOG scale) whereby the clinician invites the patient to rate their satisfaction with different life domains and treatment aspects, which forms the active control group. The intervention group will follow this up with a four-step solution-focused approach to identify the patient’s resources and develop solutions to deal with the patient's concerns (DIALOG+).
Discussion: If shown to be effective DIALOG+ has the potential to improve community-based care and the QoL for millions of people within India and Pakistan who experience psychosis.
Trial Registration: The trial was registered prospectively on the ISRCTN Registry: ISRCTN13022816 on 9th Feb 2022, https://www.isrctn.com/ISRCTN13022816
Uncertainty analysis of contagion processes based on a functional approach
Authors: López-Pintado Dunia , López-Pintado Sara , Yao Zonghui 
Published: December 2022

Abstract
The spread of a disease, product or idea in a population is often hard to predict. We tend to observe one or few realizations of the contagion process and therefore limited information can be obtained for anticipating future similar events. The stochastic nature of contagion generates unpredictable outcomes throughout the whole course of the dynamics. This might lead to important inaccuracies in the predictions and to the over or under-reaction of policymakers, who tend to anticipate the average behavior. We analyze the unpredictability (or uncertainty) of a contagion process exploiting the functional nature of the data and define a novel non-parametric measure of variance based on a weighted version of the depth-based central region area. We apply this methodology to the susceptible-infected-susceptible epidemiological model and the small-world networks. We find that maximum uncertainty is attained at the “stable contagion threshold”, which represents the parameter conditions for which the steady state is reaching a plateau as a function of the contagion rate. The density of the network has a significant effect on the uncertainty of contagion, whereas only a mild effect is seen for the network’s structure.
Should lymphadenectomy be routine procedure for primary intrahepatic cholangiocarcinoma patients undergoing curative hepatectomy? a retrospective cohort study with propensity-score matching analysis
Authors: Huang Shan , Song Jiu-Lin , Li Bo , Yi Peng-Sheng , Yang Jian 
Published: December 2022

Abstract
Background
Whether routine lymphadenectomy (LD) leads to better outcomes in patients with primary intrahepatic cholangiocarcinoma (ICC) undergoing curative hepatectomy is unclear.
Materials and Methods
This study enrolled 269 consecutive patients who underwent liver resection for primary ICC from January 2009 to July 2020 in West China hospital. The association of the nodal status with disease-free survival (DFS) and overall survival (OS) was analyzed using the Cox proportional hazards model and 1:1 propensity score matching (PSM) analysis.
Results
75 (27.9%) patients had undergone curative liver resection combined with LD (LD + group), and 194 (72.1%) patients had only received curative liver resection without LD (LD- group and Nx group). Metastatic nodal disease was observed in 48% of LD + patients (N1 groups, n = 36), and the remaining 39 patients without metastatic nodal disease were classified as N0 group. During the follow-up period, 116 patients (43.1%) have developed tumour recurrence and 101 patients (37.5%) died with recurrence. Multivariate analysis showed that lymph node metastasis (N1, OR 3.682, 95%CI 1.949–6.957, p < 0.001) was associated with worse OS, but LD+ (OR 0.504, 95%CI 0.298–0.853, p = 0.011) was associated with improved OS. And adjuvant therapy was a protective factor for both DFS (OR 0.602, 95%CI, 0.447–0.810, p = 0.001) and OS (OR 0.683, 95%CI 0.484–0.963, p = 0.030). After 1:1 PSM, the LD + patients (n = 74) expressed similar 1-, 3- and 5-year DFS rates (40.0%, 7.9% and 7.9% vs 29.0%, 13.7% and 13.7%, p = 0.741) and OS rates (56.0%, 26.6% and 22.2% vs 58.9%, 25.6%, and 16.4%, p = 0.644) with LD- patients (n = 74). Furthermore, among the 75 LD + patients, 48 patients underwent hepatic hilar lymphadenectomy (HHL), and 27 patients underwent extended hepatic hilar lymphadenectomy (EHL). Both DFS (p = 0.504) and OS (p = 0.215) were similar between the HHL and EHL groups.
Conclusion
Routine LD and adjuvant therapy may contribute to improved OS in crude analysis. LD may contribute to accurate staging without excessive risk, and recommended adjuvant therapy according to tumor stage, which may contribute to better survival. Therefore, LD could be still recommended as a routine procedure during curative hepatectomy for ICC patients.
A note on “An improved solution for the neutrosophic linear programming problems based on Mellin’s transform”
Authors: Ahuja Raina , Kumar Amit 
Published: December 2022

Abstract
Tamilarasi and Paulraj (Soft Comput (2022) 26:8497–8507), firstly, proposed a Mellin’s transform based ranking method for comparing single-valued triangular neutrosophic numbers. Then, using the proposed ranking method, Tamilarasi and Paulraj proposed an approach to solve neutrosophic linear programming problems. Tamilarasi and Paulraj pointed out that their proposed approach is better than Khatter’s approach (Soft Comput (2020) 24:16847-16867). In future, other researchers may use Tamilarasi and Paulraj’s approach to solve real-life neutrosophic linear programming problems. However, after a deep study of Tamilarasi and Paulraj’s approach, it is observed that a mathematical incorrect result, pointed out by Bhatia et al. (Soft Comput (2022) 26:8479–8495) in Khatter’s approach, is also considered in Tamilarasi and Paulraj’s approach. Hence, Tamilarasi and Paulraj’s approach is not valid. Also, it is observed that the ranking method, proposed by Tamilarasi and Paulraj, is not valid. In this note, these observations are discussed in details. Furthermore, it is suggested to use Bhatia et al.’s approach to solve real-life neutrosophic linear programming problems.
Ultrasonography of the multifidus muscle in student circus artists with and without low back pain: A cross-sectional study
Authors: Rossini Bianca , Anstruther Meagan , Wolfe Daniel , Fortin Maryse 
Published: December 2022

Abstract
Background
Degenerative structural changes and functional deficits of the lumbar multifidus (LM) muscle were observed in athletes with low back pain. While spinal injuries are common in circus artists, there is no information on LM characteristics in this population. The aims of this study were to investigate LM morphology and function and explore the relationship between LM characteristics and low back pain in student circus artists.
Methods
Thirty-one college circus students were recruited. Participants completed an online survey to acquire demographic data and low back pain history. Body composition was measured using multi-frequency bio-impedance analysis. Ultrasound examinations at the 5th lumbar vertebrae in prone and standing positions were performed to assess LM cross-sectional area, echo-intensity, thickness. Independent and dependent t-test assessed the difference between sex and side, respectively. The relationships between measures were assessed with Person’s correlations. The LM characteristics’ difference between artists with and without low back pain was assessed with Analysis of covariance using lean body mass, height and % body fat as covariates.
Results
Males had significantly larger LM cross-sectional area, lower echo-intensity and greater thickness change from rest to contracted than females. LM cross-sectional area asymmetry in prone was greater in artists reporting low back pain in the previous 4-weeks (p = 0.029) and 3-months (p = 0.009). LM measures were correlated with lean body mass, height, and weight (r = 0.40–0.77, p ≤ 0.05).
Conclusion
This study provided novel insights into LM characteristics in circus artists. Greater LM asymmetry was observed in artists with a history of low back pain. In accordance with previous studies in athletes, LM morphology and function were highly correlated with body composition measurements.
Preponderant alleles at Hd1 and Ehd1 lead to photoperiod insensitivity in japonica rice varieties
Authors: Sun Liting , Lin Tianzi , Jing Dedao , Yu Bo , Zeng Shengyuan , Li Chuang , Qian Huafei , Du Cancan , Hu Qingfeng , Yang Jun , Zhou Yiwen , Wu Zhangping , Gong Hongbing 
Published: December 2022

Abstract
Adaptation of photoperiod-sensitive japonica rice varieties from long-day (LD) to short-day (SD) conditions is impeded by their extremely early flowering in response to photoperiod change. In this study, we characterized a photoperiod-insensitive variety of rice (Oryza sativa L.), named Zhenjing2400. We mapped the causal gene of the photoperiod insensitive to a 4.1-Mb interval on chromosome 6 that contained the major flowering gene Hd1. Sequencing analysis detected two single nucleotide polymorphisms (SNPs) and a 123-bp insertion in Hd1 in Zhenjing2400, leading to the early termination of translation. Genome resequencing of the varieties Zhenjing2400 and Jiahe218 also identified SNPs in the other flowering-related genes Ehd1, SDG725, OsCOL15, DTH2, and DTH7. To dissect the individual contribution of these six genes, we constructed recombinant inbred lines (RILs) derived from a cross between Zhenjing2400 and Jiahe218, and selected homozygous lines with different genotype combinations of these six genes. We established that photoperiod insensitivity is caused by a defective Hd1 gene. In addition, the effect of Hd1 and Ehd1 on heading date was stronger than the other four genes. Measurements of agronomic traits and quality traits in homozygous lines demonstrated the superiority of the hd1 ehd1 genotype for eating quality and photoperiod-insensitive high yield.
Soil nitrification process played a key role in alleviating continuous cropping limitation induced by fumigation
Authors: Xiong Jing , Liu Yongjun , Liu Tianbo , Peng Shuguang , Cao Mingfeng , Wang Zhenhua , Zhou Lei , Zou Junliang , Liu Zhenghua , Gu Yabing , Ai Jixiang , Yin Huaqun , Meng Delong 
Published: December 2022

Abstract
Background and Aims

Continuous cropping causes huge crop produce reduction, and soil fumigation is an effective approach to alleviate the limitation. Understanding the impacts of agriculture management on microbial community and its association with nutrient availability would provide strong supports for alleviating continuous cropping limitation. However, the mechanisms of fumigants in enhancing plant growth and alleviating continuous cropping barriers was not clear.

Methods

In this study, fumigation treatments including chloropicrin (CP), dazomet (DZ), and untreated control (CK) were carried out at field scale, and rhizosphere bacterial community and plant phytochrome were analyzed.

Results

The results showed that fumigation had strong effects on rhizosphere microbial community and soil properties. Fumigation treatment caused significantly reduction in rhizosphere bacterial diversity. The nitrifiers (Nitrospira and Nitrospirillum) and functional gene (ammonia oxidizing bacterial AOB amoA) were significantly inhibited by fumigation treatment, which caused significant reduction in nitrification potential (PNF). The inhibition of nitrifiers, AOB amoA gene and PNF led to significant reduction of soil NO3−-N, but increase of NH4+-N. Subsequently, plant photosynthesis was enhanced as a result of increasing leaf chlorophyll a content caused by fumigation treatment. Therefore, the photosynthesis would promote crop growth.

Conclusion

The study indicated the key mechanisms fumigation promoting plant growth and alleviating cropping limitation were closely related to soil nitrifiers and nitrogen nutrients.
NP-1 Reverses Left Ventricular Remodeling in Hypertension through Inhibiting NF-KB Signaling Pathway
Authors: duan Xiaorong , Yu Zhenqiu , Si Xiaoyun , Lu Deqin , Liu Dan , XU Dianqin , Zhou Pinwei , Zhao Xue , meng meng , He Qinhui 
Published: December 2022

Abstract
BACKGROUND
Reversing hypertensive ventricular remodeling could reduce cardiovascular disease, but it’s reversal rate is low. Neutrophil Peptide 1 ( NP-1 ) is under intensive investigation as a potential therapeutic agent. But it’s role in hypertensive ventricular remodeling remains unclear.
METHODS
We collected data from hypertensive patients and measured NP-1 levels using an ELISA. We established hypertensive ventricular remodeling models and then treated with NP-1 or BAY 11-7082, an inhibitor of NF-кB. The cardiac hypertrophy markers and NF-кB factors were detected through HE, Masson, IHC, qPCR, and WB. We also established hypertrophic cardiomyocyte models and then dealt with NP-1 or BAY 11-7082. The myocardial hypertrophy indicators and NF-кB factors were measured by IF, qPCR, and WB.
RESULTS
We found the NP-1 level was decreased in patients with hypertensive ventricular remodeling. It’s demonstrated that NP-1 expression was decreased in hypertensive ventricular remodeling models. While NP-1 treatment has the potential to raise NP-1 levels and reverse ventricular remodeling. It’s also noticed a decrease with NP-1 in hypertrophic cardiomyocyte models. NP-1 disposal could improve NP-1 expression and reverse cardiomyocyte hypertrophy. Besides, our study found the activation of NF-кB in animal and cell models. And it could be inhibited by dealing with NP-1, which was similar to an inhibitor of NF-кB.
CONCLUSIONS
NP-1 could reverse ventricular remodeling and cardiomyocyte hypertrophy through inhibiting the activation of NF-кB. This may serve as a potential therapeutic target for cardiovascular disease.
Radiomics based predictive modeling of rectal toxicity in prostate cancer patients undergoing radiotherapy: CT and MRI comparison
Authors: Hassaninejad Hossein , Abdollahi Hamid , Abedi Iraj , Amouheidari Alireza , Tavakoli Mohammad Bagher 
Published: December 2022

Abstract
Background: Rectal toxicity is one of the common side effects after radiotherapy in prostate cancer patients. Radiomic studies have been considered a new method to predict these side effects. This study was performed by evaluating the radiomic features of computed tomography (CT) and magnetic resonance (MR) images and using machine learning (ML) methods for predicting radiation-induced rectal toxicity.
Methods: Seventy men with pathologically confirmed prostate cancer, eligible for three-dimensional radiation therapy (3DCRT) participated in this prospective trial. Clinical and dosimetric data were gathered, and radiation toxicity was assessed using Common Terminology Criteria for Adverse Events (CTCAE). Rectal wall CT and MR images were used to extract first-order, shape-based, and textural features. The least absolute shrinkage and selection operator (LASSO) was used for feature selection. Classifiers such as Random Forest (RF), Decision Tree (DT), Logistic Regression (LR), and K-Nearest Neighbors (KNN) were used to create models based on radiomic, dosimetric, and clinical data alone or in combination. The area under the curve (AUC) of the receiver operating characteristic curve (ROC), accuracy, sensitivity, and specificity were used to assess each model's performance.
Results:The best outcomes were achieved by the radiomic features of MR images in conjunction with clinical and dosimetric data, with a mean of AUC: 0.79, accuracy: 77.75%, specificity: 82.15%, and sensitivity: 67%. The top-performing model was KNN, with an AUC of 0.86, accuracy rates of 79%, sensitivity rates of 63%, and specificity rates of 91%, respectively.
Conclusions: This research showed that as a biomarker for predicting radiation-induced rectal toxicity, MR images outperform CT images.
Prevalence of OCD symptoms in the UAE during the COVID-19 pandemic: a cross- sectional study
Authors: Nasere Noura B. Al , Ali Amena M. , Ali Leena A. Mohamed , Ibrahim Hend E. , Kassas Leen M. , Askari Hamid M. , Alhusaini Meera S , Alhaj Hamid A 
Published: December 2022

Abstract
Background: Obsessive-compulsive disorder (OCD) is a psychiatric disorder characterised by repetitive, undesirable thoughts or acts. During the COVID-19 pandemic, public health authorities worldwide urged people to take proper health measures. It is expected that such sudden change would cause excessive hygiene habits in people predisposed to OCD.
Methods:This was a quantitative cross-sectional study that used an online survey platform to collect responses from UAE residents. The self-administered questionnaire collected a total of 343 responses from participants fitting the inclusion criteria. Their scores were evaluated based on the Y-BOCS criteria scale. People who have been previously diagnosed with obsessive compulsive disorder were excluded from this study.
Results:The study included 99 males, and 244 females. A significant correlation was found between the Emirate of residence and the severity of OCD-like-symptoms (P= 0.042). The results showed that the emirate with most frequent OCD symptoms is Dubai, with 54.5% displaying mild, moderate, and severe/ extreme symptoms. Female to male distribution showed higher trend of females displaying OCD symptoms although this was not statistically significant. Level of education, occupation and age had no statistically significant role in the exhibition of the symptoms.
Conclusion: The symptoms of potential clinical significance of OCD are high, especially in females compared to the global prevalence studies prior to COVID-19, although a within-subject comparison is not possible. The results need to be interpreted with caution given that the study sample may not represent the population of the UAE, especially given the online questionnaire used limiting access to certain resident groups in the country. Further research is warranted to investigate the long-term effect of COVID-19 on OCD-like and other neuropsychiatric symptoms and elucidate possible mechanisms.
Green Growth Practice in Indonesia: Some Insight for Gambir Commodity in West Sumatra, Indonesia
Authors: Maryanti Maryanti , Sumarni Leli , Hasnidar Hasnidar 
Published: December 2022

Abstract
The agricultural sector plays a very important role in sustainable development. Indonesia and West Sumatra are agricultural countries and regions where it is possible to apply green growth practices to food commodities. Gambir commodity (Uncaria Gambir Roxb) as one of the leading agricultural products from West Sumatra which makes up 80 percent of the global market. The purpose of this research is to analyze the green growth practices of gambir in West Sumatra, Indonesia. The analytical method used is descriptive analysis of the five indicators measuring performance green growth for commodity gambir, namely sustainable economic growth; inclusive and equitable growth; healthy and productive ecosystem providing services; economic, social, and environmental resilience; and greenhouse gas emission reduction whose opinions were taken on a research sample of 98 farmers. The sampling technique is based on purposive sampling techniques. The result of this research is that four of the five components of the performance of green growth practices on gambir commodities in Kenagarian Maek, Kabupaten Lima Puluh Kota , West Sumatra Province, Indonesia have been well implemented.
Machine learning-based Radiomics analysis of preoperative functional liver reserve with MRI and CT image
Authors: Zhu Ling , Wang Feifei , Chen Jingjing , Li Zheng , Zhu Chengzhan 
Published: December 2022

Abstract
Objective: Comparing indocyanine green retention rate at 15 min (ICG-R15) can accurately evaluate functional liver reserve, we investigated the ability of Gd-EOB-DTPA-enhanced hepatic magnetic resonance imaging (MRI) and contrast-enhanced computed tomography (CT) image in hepatocellular carcinoma (HCC) patients’ radiomics models for evaluation of functional liver reserve. To assist doctors in evaluating hepatic functional reserve in the hospitalthat lacks expensive ICG equipment.
Methods: 190 HCC patients in total were retrospectively enrolled and randomly classified into a training dataset (CT: n = 152, MR: n = 90) and a test dataset (CT: n = 38, MR: n =22). Then, radiomics features from MRI and CT images were extracted. The features associated with the ICG-R15 classificationwere picked out. Six machine learning (ML) classifiers were used for the ML-model investigation, and the accuracy (ACC) and area under ROI curve (AUC) of receiver operating characteristic (ROC) with 95% confidence intervals (CI) utilized for ML-model performance evaluation.
Results: 107 different radiomics features were extracted from MRI and CT respectively. The features related to ICG-R15 classification were selected. In MRI groups, when ICG-R15=10% was selected as a threshold, classifier LightGBM performed best for its AUC was 0.932 and ACC 0.955. When ICG-R15=20%, classifier LightGBM performed best for its AUC was 0.938 and ACC 0.913. When ICG-R15=30%, classifier XGBoost performed best for its AUC was 0.972 and ACC 0.955. For CT groups, when ICG-R15=10% was selected as a threshold, classifier LightGBM performed best for its AUC was 0.891 and ACC 0.868. When ICG-R15=20%, classifier SVM performed best for its AUC was 0.877 and ACC 0.842. When ICG-R15=30%, classifier LightGBM performed best for its AUC was 0.927 and ACC 0.947.
Conclusions:Both the MRI and CT machine learning models are considered valuable noninvasive methods for the evaluation of functional liver reserve. The performance of the MRI model was better than that of the CT model in the assessment of functional liver reserve.