bluuebunny/crossref_metadata_2025_split huggingface dataset:
Is total mesorectal excision necessary for treatment of upper rectal cancer?
Authors: Madyarov J. M. , Rasulov A. O. , Kulikov A. E. , Rasulov Z. R. , Fedyanin M. Yu. , Polynovskiy A. V. 
Published: June 2022

Objective: To assess the impact of mesorectal excision for upper rectal cancer on long-term treatment results.Materials and methods. 227 patients with upper rectal cancer in the period between January 2004 and December 2014 were analyzed. The study included patients over 18 years of age with upper rectal cancer, stage T2-4N0-2M0. The patients were divided into 2 groups: partial mesorectal excision (PME) and total mesorectal excision (TME).Results. 226 (99.6 %) of 227 patients underwent surgical treatment. PME was performed in 199 (85.4 %) patients, TME in 27 (14.6 %) patients. TME was significantly more often performed in patients with preoperative treatment (р = 0.03). Operative time did not differ significantly between the two groups (TME - 186 minutes and PME - 168 minutes; р = 0.34). Postoperative complications were observed in 12.3 % of cases with no significant differences between the groups (TME - 14.3 %, PME - 12.1 %; р = 0.68). Anastomotic failure was noted in 7.1 % of cases, all in the PME group. Median follow-up was 57 months. The number of deaths was 29 (12.8 %), in the PME group - 27 (13.6 %), and in the TME group - 2 (7.4 %) (р = 0.61). Local recurrences developed in 4 (2.2 %) patients of the PME group and none in TME group. Distant metastases were diagnosed in 2 patients (8 %) of the TME group and 23 patients (12.1 %) of the PME group (р = 0.509). Overall 5-year survival in the TME group was 79.6 %, in the PME group - 86.3 % (р = 0.463), and 5-year disease-free survival was 79.3 % and 86 %, respectively (р = 0.521).Conclusion. Multivariate analysis showed that the volume of mesorectal excision did not affect the rate of disease recurrence and disease-free survival in both groups.
Neuroimaging Correlates of Cognitive Behavioral Therapy for Insomnia (CBT-I): A Systematic Literature Review
Authors: Sabot Debbie , Baumann Oliver 
Published: June 2022

Cognitive behavioral therapy for insomnia (CBT-I) is the gold-standard non-pharmacological treatment for insomnia, a complex disorder that comprises psychological, behavioral, and physiological components. This systematic literature review aimed to evaluate a growing body of exploratory studies that have examined CBT-I treatment effects using neuroimaging assessment. Nine studies met current review selection criteria, of which six studies compared insomnia groups with good sleepers, waitlist, and/or control groups. CBT-I administration varied in treatment length and duration across the studies, as did neuroimaging assessment, which included task-based and resting-state functional magnetic resonance imaging (fMRI), and structural magnetic resonance imaging (MRI). Functional connectivity abnormalities were observed in participants, including reduced engagement in task-related brain regions and apparent difficulties in regulating default mode brain areas that appeared to reverse following CBT-I treatment. Taken together, the neuroimaging results complement behavioral measures of treatment efficacy, indicating support for the effectiveness of CBT-I treatment in the recovery of brain function and structure.
PERSEPSI CALON GURU IPA DAN MATEMATIKA TERHADAP PEMBELAJARAN BERORIENTASI STEM
Authors: Afifah Ani , Qomaria Nur 
Published: June 2022

Pembelajaran STEM merupakan pembelajaran yang mengintegrasikan Science, Technology, Engineering, dan Mathematics dengan berfokus pada pemecahan masalah nyata dalam kehidupan sehari-hari. Pembelajaran STEM memberi kesempatan kepada guru untuk menunjukkan pada siswa bahwa konsep dan prinsip Science, Technology, Engineering, dan Mathematics yang digunakan secara simultan dapat diterapkan dalam pengembangan produk, proses, dan sistem dalam kehidupan sehari-hari. Penelitian ini bertujuan untuk mendeskripsikan persepsi calon guru IPA dan matematika terhadap pembelajaran berorientasi STEM. Subjek penelitian ini adalah mahasiswa angkatan 2015 di Prodi Pendidikan IPA Universitas Trunojoyo Madura dan Prodi Pendidikan Matematika di STKIP PGRI Pasuruan. Data dikumpulkan melalui angket terbuka dan dianalisis dengan pengkodean kesamaan pendapat dan dihitung banyaknya subjek dengan pendapat yang sama. Hasil penelitian menunjukkan bahwa mahasiswa baik calon guru IPA maupun calon guru matematika memberikan persepsi positif terhadap pembelajaran STEM. Subjek juga menunjukkan persepsi positif terhadap pengaplikasian pembelajaran STEM dalam kelas mereka di masa depan.
Lessons Learned from the Large-Scale CO2 Stimulation of 11 Unconventional Wells in the Williston Basin: A Practical Review of Operations, Logistics, Production Uplift, and CO2 Storage
Authors: Ribeiro Lionel , Thoma Ashley , Bryant Jason , Sundararajan Desikan , Zurovec Wesley 
Published: June 2022

Summary
The paper introduces the results of the first CO2 fracturing campaign conducted in the Williston Basin. From 2015 to 2019, 11 horizontal multistage wells were safely stimulated using a CO2-hybrid design to improve production and store CO2 underground. The fracturing design consisted of the injection of a supercritical CO2 prepad (with a target injected volume of 5,000 tons per well) followed by a traditional slickwater or hybrid proppant slurry. The CO2 was captured from point-source plants that would have released the CO2 to the atmosphere otherwise.
The performance of the CO2 fracturing design is compared to the performance of nearby hybrid and slickwater designs. The paper provides a range of potential production uplift for both 12-month production and estimated ultimate recovery (EUR). The paper also provides the range of CO2 concentrations produced back to the surface and an estimate of CO2 storage potential based on extensive compositional monitoring.
The paper shares practical guidelines and recommendations to facilitate the understanding and logistics of CO2 operations during injection and production. The field study highlights critical considerations related to fracturing design, logistics, operational handling of CO2, reservoir uplift, and permanent CO2 storage potential. The analysis provides new insight to the storage potential for CO2 fracturing, enhanced oil recovery, and carbon capture and storage (CCS) applications in the Williston Basin, and by extension to other ultratight formations.
The effects PROSTATE care model in the perioperative management of patients underwent radical prostatectomy: An initial experience
Authors: yuan xiuqun , Wu Xiaorong , You Sijie , yang yan , Meng Xiaohong , Pan Jiahua , dong baijun , Zhu Yinjie , yuan xia 
Published: June 2022

Abstract
Purpose
To evaluate the effectiveness after implementing the PROSTATE care model which aims to prepare and support patients for radical prostatectomy.
Methods
The PROSTATE care model was raised and developed based on literature review and available clinical practice guidelines. A total of 673 patients with prostate cancer were enrolled, including 295 patients who received conventional nursing pathway after radical prostatectomy between January 2015 and December 2017, and 378 patients after initiation of PROSTATE care model between January 2018 and December 2020. Length of hospital stay, postoperative outcomes, continence of patients, patient satisfaction and other related patient outcomes were compared between the two groups.
Results
After implementation, the average length of stay decreased from 9.19 ± 1.03 to 7.64 ± 0.98 days (p < .01) without compromising quality of care. Time to remove pelvic drainage tubes dropped from 9.66 ± 9.12 to 7.88 ± .44 days (p = .014), and urinary catheter shortened from 13.08 ± 2.13 days to 9.79 ± 2.40 days (p < .01). Moreover, patients ambulated earlier (p = .028), and recovered faster from incontinence at 3-month pad test (2.69 ± 2.26 vs 3.98 ± 2.74, p = .01) with a raised patient (p = .010).
Conclusion
The PROSTATE care model is focused on the patient-orientated care with efforts from multi-disciplinary team. This model ensures the perioperative safety, promotes faster recovery and improves quality of life without increasing complication rates.
Beneficial Impact of Switching from Cigarette Smoking to Tobacco Heating System Use on Biomarkers of Potential Harm in a Randomized Trial
Authors: Haziza Christelle , Hession Paul S. , David Morgane , Ansari S. Michael , Blanc Nicolas , Bourdonnaye Guillaume de La , Pouly Sandrine , Peitsch Manuel C. , Heremans Annie 
Published: June 2022

Abstract
Background: Smoking cessation reduces the risk of developing smoking-related diseases. Although smoking prevalence has declined, many smokers continue smoking cigarettes. Switching to less harmful smoke-free alternatives such as the Tobacco Heating System (THS), a non-combustible tobacco-based product, is an approach to reduce the harm caused by cigarettes. Methods: We conducted a 12-month clinical study with 984 adult smokers randomized to either continue smoking or to use THS. We assessed the trajectories of biomarkers of potential harm (BoPH) known to be reversible upon smoking cessation, as one measure of different pathways involved in the pathogenesis of cardiovascular or respiratory diseases, and carcinogenicity. Beneficial impact on 8 key BoPHs was used as a proxy to evaluate harm reduction.Results: At 12 months, comparison of the 8 BoPH levels between the predominant THS use and cigarette smoking groups showed differences in favor of THS switching when contextualized to the changes reported for smoking cessation. Conclusions: Our results likely indicate a further decrease in carcinogenicity and relative risk of developing cardiovascular or respiratory diseases for smokers switching to THS compared to those who would continue smoking. These results provide additional evidence of the harm reduction potential of predominant THS use. Trial Registration clinicaltrials.gov Identifier: NCT02649556 Date of registration: 07/01/2016 (dd/mm/yyyy)(https://clinicaltrials.gov/ct2/show/NCT02649556)
Impact of climate change on kidney bean (Phaseolus vulgaris L.) in India and Kenya
Authors: Kimani Pauline Njoki , KUMAR SOORA NARESH , Panjwani Shweta 
Published: June 2022

Abstract
Climate change is significantly challenging food production and nutritional security. Gaining an understanding on the impacts of climate change on various crops enables us to develop adaptation and mitigation strategies to sustain yields in future climates. Kidney bean, one of the major pulses in the world, is a rich source of protein and is a part of daily diet for over 300 million people. InfoCrop- kidney bean dynamic simulation model was applied to simulate the impact climate change on seed yield in India and Kenya in 2020, 2050 and 2080 climate scenarios under representation concentration pathways 4.5 and 8.5 of Coordinated Regional Downscaling Experiment Regional Climate Models. Without adaptation in India, kidney bean seed yield is projected to reduce (4-60%) in 5 out of 10 locations depending on scenario. In other locations, impacts are dependent on the relative change in rainfall and temperatures in different climate scenarios. In case of Kenya, during March-May season, seed yield variation is projected to be more, depending on location and climate scenario. During the October-December season, kidney bean seed yield is projected to reduce up to 60% in majority of locations. Additionally, inter-annual variation in seed yield is projected to increase for most of the locations in India and Kenya. Projected decline in seed yield is mainly attributed to a decrease in rainfall and increased variability in rainfall and temperature. Adaptation options such as shifting the sowing time, provision of supplementary irrigation and improved varieties may help to sustain yield in future climates.
The Short Form Endometriosis Health Profile Questionnaire (EHP-5): psychometric validity assessment of a Croatian version
Authors: Mikuš Mislav , Matak Luka , Vujić Goran , Škegro Bernarda , Škegro Ivan , Augustin Goran , Lagana Antonio Simone , Ćorić Mario 
Published: June 2022

Abstract
Purpose: To translate, adapt and validate the Endometriosis Health Profile-5 (EHP-5) in Croatian population.Methods: This validation study is a part of a prospective, observational study (EHP-5 CRO) with aim of implementation of EHP-5 and to provide better insight in quality of life consideration of women with endometriosis in Croatian clinical practice. A 150 consecutive patients with surgically proven endometriosis were enrolled. The translation to Croatian followed standardized procedure. Cronbach's Alpha was calculated to calculate internal consistency reliability of EHP-5. The test-retest reliability was calculated using intraclass correlation coefficient (ICC). The t-test for independent samples was used to assess known-groups validity.Results: Both EHP-5 core and EHP-5 modular parts of the questionnaire had good internal consistency, assessed by the Cronbach’s Alpha coefficient (α=0.793 and α=0.842, respectively). Obtained results indicate very good reliability for core as well as for modular part of EHP-5 questionnaire (ICC=0.896 and 0.936, respectively). The independent t-test showed that women who reported their pain with VAS scale 7 or more had significantly higher results (p<0.001) on EHP-5 (M=50.63) compared with women who reported their pain 6 or less (M=26.91). Furthermore, we found statistically significant difference between women who are infertile with women who are fertile (p<0.001), whereby infertile women had higher average result on EHP-5 (M=49.55) compared with fertile women (M=34.36).Conclusion: The Croatian version of the EHP-5 have very good psychometric characteristics and can be used as a reliable tool for assessing patients with endometriosis in everyday clinical practice.
Aerodynamics performance of a ventilation system for droplets controlling by coughing in a hospital isolation ward
Authors: Song Yunfei , Yang Chengqing , Li Hui , Chen Hongbin , Shen Shengnan , Hou Yuqing , Wang Jiayue 
Published: June 2022

Abstract
Over 270 million people have been infected by the coronavirus disease 2019 (COVID-19) in the past two years, resulting in 5 million deaths. The virus primarily transmitted through droplets or aerosols produced by coughing, sneezing, and talking. A full-scale isolation ward in Wuhan Pulmonary Hospital is modeled in this work, and water droplet diffusion is simulated using the Computational Fluid Dynamics (CFD) approach. In an isolation ward, a local exhaust ventilation system is intended to avoid cross-infection. The existence of a local exhaust system increases turbulent movement, leading to a complete breakup of the droplet cluster and improved droplet dispersion inside the ward. When outlet negative pressure is 4.5 Pa, the number of moving droplets in the ward decreases by approximately 30% compared to the original ward. The local exhaust system could minimize the number of droplets evaporated in the ward; however, the formation of aerosols cannot be avoided. Furthermore, in six different scenarios there are 60.83%, 62.04%, 61.03%, 60.22%, 62.97% and 61.52% droplets produced by cough deposited on the surface of the patient. However, the local exhaust ventilation system has no apparent influence on the control of surface contamination. This study provides several suggestions for the optimization of ventilation in the wards, and scientific evidence to ensure the air quality of hospital isolation wards.
GHS101 and GHSP26 improves boll retention in upland cotton grown under high temperature of semi-arid subtropical climate
Authors: Saleem Muhammad Asif , Malik Waqas , Asif Muhammad , Ahmad Shakeel , Baig Mirza Muhammad Ahad , Amjid Muhammad Waqas , Ahmad Muhammad Qadir , Ali Hafiz Muhammad Wasif 
Published: June 2022

Abstract
Background
Cotton is a natural fibre producing crop grown worldwide where agro climatic conditions match with its growth and reproduction. High temperature is a major environmental factor affecting cotton production due to climate change. Only way to cope with high temperature is to breed for the tolerance. High temperature tolerance is a complex mechanism that includes many genes by which cotton responds to stress. Genes conferring heat stress can be best studied in segregating population like F2 grown under stressed environment.
Results
Based on contrasting traits (boll retention percentage), two cotton cultivars i.e. FH-Lalazar (High temperature susceptible) and CRIS-9 (High temperature tolerant) were evaluated for eight heat stress related genes. Out of eight, two genes (i.e. GHS101 and GHSP26) were present only in tolerant genotype i.e. CRIS-9 and these two were selected for further analyses. After development of F2, the morphological and yield data from parental as well as F2 population was recorded under natural high temperature conditions. The data for boll retention percentage under high temperature was recorded as an indicator of high temperature tolerance. These two genes were surveyed in 129 plants of F2 population. Most of the plants, containing both genes showed up to 81% boll retention, but some exceptions were there. Most of the phenotypic traits showed skewed variation on histogram depicting metric nature of genes.
Conclusion
Results demonstrated that co-segregation of boll retention property along with heat tolerant genes in F2 population is important in reproductive development of cotton under high temperature conditions. Thus, it is necessary to identify, and pyramid other genes related to high temperature tolerance at reproductive stage.
Cholera Outbreak in some communities in North-East Nigeria: An unmatched case-control study
Authors: Fagbamila Idowu O. , Abdulkarim Muhammad K. , Gandi Benjamin , Abdullahi Ibrahim , Uba Belinda , Okolocha Emmanuel C. , Kwaga Jacob K.P. , Waziri Ndadilnasiya E. , Balogun Muhammad S. , Nguku Patrick , Aworh Mabel K. 
Published: June 2022

Abstract
Background
Cholera, a diarrheal disease caused by the bacterium Vibrio cholerae, transmitted through fecal contamination of water or food remains an ever-present risk in many countries, especially where water supply, sanitation, food safety, and hygiene are inadequate. A cholera outbreak was reported in Bauchi State, North-eastern Nigeria. We investigated the outbreak to determine the extent and assess risk factors associated with the outbreak.
Methods
We conducted a descriptive analysis of suspected cholera cases to determine the fatality rate (CFR), attack rate (AR), and trends/patterns of the outbreak. We also conducted a 1:2 unmatched case-control study to assess risk factors amongst 110 confirmed cases and 220 uninfected individuals (controls). We defined a suspected case as any person > 5 years with acute watery diarrhea with/without vomiting; a confirmed case as any suspected case in which there was laboratory isolation of Vibrio cholerae O1 or O139 from the stool while a control as any uninfected individual with close contact (same household) with a confirmed case. Children under-5 not included in the case definition but samples from this age group were collected where such symptoms occur and line-listed separately. Data were collected with an interviewer-administered questionnaire and analyzed using Epi-info and Microsoft excel for frequencies, proportions, bivariate and multivariate analysis at a 95% confidence interval.
Results
A total of 9725 cases were line-listed with a CFR of 0.3% in the state. Dass LGA had the highest CFR (14.3%) while Bauchi LGA recorded the highest AR of 1,830 cases per 100,000 persons. Factors significantly associated with being a case were non-attendance at social gatherings (aOR = 0.65, 95% CI = 0.5–0.9) and source of water (aOR = 0.65, 95% CI = 0.5–0.8).
Conclusion
Non-attendance at social gatherings and provision of tap water were found to be protective against cholera infection. Public health actions taken included: chlorination of wells and distribution of water guard (1% chlorine solution) bottles to households including public education on cholera prevention messages amongst other actions.
Anti-Ad26 humoral immunity does not compromise neutralizing antibody responses following Ad26-based booster vaccination with Gam-COVID-Vac
Authors: Filatov Alexander , Byazrova Maria , Astakhova Ekaterina , Minnegalieva Aygul , Prilipov Alexey , Gorchakov Andrey 
Published: June 2022

Abstract
Replication-incompetent adenoviral vectors have been extensively used as a platform for vaccine design, with at least four anti-COVID-19 vaccines authorized to date. These vaccines elicit a neutralizing antibody response directed against SARS-CoV-2 Spike protein and confer significant level of protection against SARS-CoV-2 infection. Immunization with adenovirus-vectored vaccines is known to be accompanied with the production of anti-vector antibodies, which may translate into reduced efficacy of booster or repeated rounds of vaccination. Here, we used adenovirus-based Gam-COVID-Vac vaccination to address the question of whether anti-vector antibodies may influence the magnitude of SARS-CoV-2-specific humoral response after booster vaccination. We observed that Ad26-based prime vaccination with Gam-COVID-Vac induced the development of Ad26-neutralizing antibodies which persisted in circulation for at least 9 months. Our analysis indicates that high pre-boost Ad26 neutralizing antibody titers do not appear to affect the humoral immunogenicity of the Gam-COVID-Vac boost. The titers of anti-SARS-CoV-2 RBD IgGs and antibodies which neutralized both the wild type and the circulating variants of concern of SARS-CoV-2 such as Delta and Omicron, were independent of the pre-boost levels of Ad26-neutralizing antibodies. Thus, our results support the development of repeated immunization schedule with adenovirus-based COVID-19 vaccines.
Deep-Learning-Based Prediction of Nanoparticle Phase Transitions During In Situ Transmission Electron Microscopy
Authors: Wang Wei , Fu Wenkai , Spurgeon Steven , Wang Chongmin , Shao Yuyan , Peles Amra 
Published: June 2022

Abstract
We develop the machine learning capability to predict a time sequence of in-situ transmission electron microscopy (TEM) video frames based on the combined long-short-term-memory (LSTM) algorithm and the features de-entanglement method. We train deep learning models to predict a sequence of future video frames based on the input of a sequence of previous frames. This unique capability provides insight into size dependent structural changes in Au nanoparticles under dynamic reaction condition using in-situ environmental TEM data, informing models of morphological evolution and catalytic properties. The model performance and achieved accuracy of predictions are desirable based on, for scientific data characteristic, a limited size of training data sets. The model convergence and values for the loss function mean square error show dependence on the training strategy, and structural similarity measure between predicted structure images and ground truth reaches the value of about 0.7. This computed structural similarity is smaller than values obtained when the deep learning architecture is trained using much larger benchmark data sets, it is sufficient to show the structural transition of Au nanoparticles. While performance parameters of our model applied to scientific data fall short of those achieved for the non-scientific big data sets, we demonstrate model ability to predict the evolution, even including the particle structural phase transformation, of Au nano particles as catalyst for CO oxidation under the chemical reaction conditions. Using this approach, it may be possible to anticipate the next steps of a chemical reaction for emerging automated experimentation platforms.