bluuebunny/crossref_metadata_2025_split huggingface dataset:
Identification of Mycobacterium avium subspecies paratuberculosis in sheep farms in Bayannaoer, Inner Mongolia, China
Authors: yu yuandi , Zhang Suhui , Xu Guoyang , Xu Dengfeng , Zheng Hua , Li Bo , Shen Kefei , Fu Lizhi 
Published: November 2021

Abstract
Background

Paratuberculosis, is a widespread chronic infection of Mycobacterium avium subsp. paratuberculosis (Map), causes significant economic losses to the sheep industry. The current study investigated this disease, which causes diarrhea in sheep, particularly, in Bayannaoer, Inner Mongolia. Diagnosis was based on clinical symptoms, pathological autopsy, histopathological inspection, and serological and molecular methods.
Results

Paratuberculosis was confirmed via a polymerase chain reaction using DNA extracted from tissue and fecal samples. Serum samples from 472 individual sheep were obtained to detect antibodies against MAP by ELISA test and MAP antibodies were separately detected in 17.86% (35/196) and 18.48% (51/276) of sheep herds at 6 months and 1 years of age respectively. The results of tissue lesion and pathological section were consistent with paratuberculosis infection.
Conclusions

This is the first report of Mycobacterium avium subspecies paratuberculosis seroprevalence in Bayannaoer sheep in Inner Mongolia. Our findings show that MAP was prevalent and potentially threaten in this region and more further investigations on long-term epidemiological
Diagnostic Efficacy of FibroScan for Liver Inflammation in Patients with Chronic Hepatitis B --- A Single-Center Study with 1,185 Liver Biopsies as Controls
Authors: Jiang Kaiping , Zhang Lei , Li Jianhong , Hu Hongtao , Huang Qinghua , Qiu Tengyu , Mo Xiaoai , Ren Jian , Guo Wenqiang , Tao Yin , Cui Haijun , Zuo Ying , Chen Xuli , Xie Youqing , Li Yanxing , Liang Haimin , Liu Zhaohong , Xie Le , Mao Rongjun , Jiang Qunfang , Huang Kaizhou 
Published: November 2021

Abstract
Background: Noninvasive diagnostic technologies that can dynamically monitor changes in liver inflammation are highly important for the management of chronic hepatitis B (CHB) patients and thus warrant further exploration. This study assessed the diagnostic efficacy of FibroScan for liver inflammation in CHB patients.Methods: A total of 1185 patients were selected, and ultrasound-guided liver biopsy was performed within one month after the FibroScan test. The liver stiffness measurement (LSM), the reliability criteria (IQR/M) of LSM, the quality of liver biopsy (complete portal area, PA), and the liver inflammation grades were the main observation items of this study. With liver biopsy as the control, the diagnostic efficacy of FibroScan for liver inflammation in CHB patients was evaluated by receiver operating characteristic (ROC) curve analysis.Results: Significant differences in the LSM of FibroScan were observed among different grades of liver inflammation (P<0.0001). Liver biopsy (PA>10) served as the control, and the cutoff point and the area under ROC curves (AUCs) of the LSMs for different inflammation grades were as follows: G2, 8.6 kPa, 0.775; G3 9.8 kPa, 0.818; and G4, 11.0 kPa; 0.832. With LSM cutoff values of 8.6 kPa, 9.8 kPa and 11.0 kPa, FibroScan showed certain diagnostic value for CHB patients with G2, G3 and G4 liver inflammation, especially those with G4 inflammation. Conclusions: The results of this study preliminarily showed that, in addition to liver fibrosis, FibroScan could evaluate liver inflammation in CHB patients in a noninvasive manner.
Preparing For The Next Pandemic: Transfer Learning From Existing Diseases Via Hierarchical Multi-Modal BERT Models to Predict COVID-19 Outcomes
Authors: Agarwal Khushbu , Choudhury Sutanay , Tipirneni Sindhu , Mukherjee Pritam , Ham Colby , Tamang Suzanne , Baker Matthew , Tang Siyi , Kocaman Veysel , Gevaert Olivier , Rallo Robert , Reddy Chandan 
Published: November 2021

Abstract
Developing prediction models for emerging infectious diseases from relatively small numbers of cases is a critical need for improving pandemic preparedness. Using COVID-19 as an exemplar, we propose a transfer learning methodology for developing predictive models from multi-modal electronic healthcare records by leveraging information from more prevalent diseases with shared clinical characteristics. Our novel hierarchical, multi-modal model (TransMED) integrates baseline risk factors from the natural language processing of clinical notes at admission, time-series measurements of biomarkers obtained from laboratory tests, and discrete diagnostic, procedure and drug codes. We demonstrate the alignment of TransMED's predictions with well-established clinical knowledge about COVID-19 through univariate and multivariate risk factor driven sub-cohort analysis. TransMED's superior performance over state-of-the-art methods shows that leveraging patient data across modalities and transferring prior knowledge from similar disorders is critical for accurate prediction of patient outcomes, and this approach may serve as an important tool in the early response to future pandemics.
Pain, Fatigue, Nausea, and Vomiting as Predictors of Anxiety in Patients Undergoing Hematopoietic Stem Cell Transplantation: A Cross-sectional Study
Authors: Pasyar Nilofar , Rambod Masoume , Zahedi Fatemeh , Ramzi Mani 
Published: November 2021

Abstract
PurposeThe present study aimed to determine the predictive roles of pain, fatigue, nausea, and vomiting in anxiety among the patients undergoing Hematopoietic Stem Cell Transplantation (HSCT).MethodsThe present cross-sectional study was conducted on 200 patients treated by HSCT referred to the centers affiliated to Shiraz University of Medical Sciences, Iran. The data were collected using Spielberger Anxiety Questionnaire, Numerical Pain Scale, Brief Fatigue Inventory, and Rhodes Nausea and Vomiting Index. Then, the data were analyzed using Spearman’s test and multiple regression analysis.ResultsThe means of state anxiety, trait anxiety, pain, fatigue, and nausea, vomiting and retching were 41.67 (SD = 9.71), 43.78 (SD = 9.00), 3.79 (SD = 2.79), 4.23 (SD = 2.48), 6.31 (SD = 7.53), respectively. The results showed that the participants with higher pain and fatigue scores had higher anxiety levels. The individuals who had more nausea and vomiting had higher anxiety levels, as well. It indicated that fatigue, pain, amount of vomiting, and severity of nausea, vomiting and retching were the predictors of trait anxiety. This study showed the predictor role of pain, fatigue, and severity of retching in state anxiety. ConclusionThe study findings revealed an association between anxiety and pain, fatigue, nausea, and vomiting among the HSCT patients. The results also showed that fatigue and pain were the predictors of anxiety among the patients. Yet, future studies are recommended to determine the other factors contributing to anxiety among the HSCT patients.
Evaluation and Forecasting Meteorological Drought, Case Study: Kohgilooyeh and Boyer Ahmad
Authors: Razmkhah Homa , Rostami Eshagh , Ravari Amin Rostami , Fararouie Alireza 
Published: November 2021

Abstract
The SPI is the most widely used drought index to provide an acceptable estimation of drought characteristics. The objective of this study was to compare different threshold levels effect on derived drought characteristics, assessment of the spatial variation of meteorological drought properties as well as drought frequency, duration, and value in Kohgilooyeh and Boyer Ahmad Province, Iran, using SPI for 1, 3, 6, 12, 24 and 48 months lead-times, and finally SPI forecasting using Artificial Neural Networks (ANNs). For the first threshold level (scenario), drought properties are extracted based on the standard level of zero, and for the second one, -1 is considered. Results showed that the frequency of drought and wet periods decreased from SPI-1 to 48 for both scenarios in all stations. Max drought duration of stations had an increasing trend from SPI-1 to 48. The average duration of dry periods changed as a function of the time scales; it increased from SPI-1 to 48. Spatial variation of the drought average duration was considerable for long-term drought. Max SPI value did not follow any spatial variation, as it was constant for all lead times in all stations. Average SPI values had a decreasing trend from SPI-1 to 9 but increased from SPI-9 to 48 in all stations. Max average of SPI value observed in short-term drought and min value in medium-term. SPI value general trend was similar in both scenarios, therefore drought threshold level did not affect the results. The third objective was to develop neural network models for drought forecasting. Different architectures are applied to find the best models to forecast SPI over various lead times. The best forecasting results for SPI-3 and 6, obtained from the Quasi-Newton training algorithm, when for SPI-1, 9, 12, 24, and 48, Levenberg-Marquardt was the best. There was an increasing trend in performance measure R2 from SPI-1 to 48 and a decreasing trend in Root Mean Square Error (RMSE). The best input lead-time for SPI-1 to 48 decreased from 11 to 1, the number of hidden layers decreased, but there was no significant trend in hidden neurons. Drought properties could be considered in water resources management to supply water for various demands.
Experiences with Technology and Telehealth Among Women with Perinatal Depression
Authors: Parameswaran Uma , Pentecost Ryoko , Williams Marcia , Smid Marcela , Latendresse Gwen 
Published: November 2021

Abstract
Background

Perinatal depression (PD) affects 10-20% of childbearing women. Telehealth is increasingly utilized for mental health services to increase access to care and overcome COVID-19 pandemic barriers. Women’s perspectives on telehealth services for PD is unknown, however. This study's primary objective was to obtain the perspectives of women who participated in an 8-week group videoconference intervention for PD symptoms, including how technology impacted their experience.
Methods

We utilized theoretical sampling and included perinatal women who had completed the 8-week mindfulness-based cognitive-behavioral intervention group. Semi-structured focus groups with four to six women were conducted on a videoconference platform. Primary analysis used grounded theory and a secondary analysis used qualitative description and was conducted by two coding teams. The teams collaborated on the final themes across the analyses.
Results

Three groups, with a total of 17 participants were conducted. Composition consisted of seven postpartum and ten pregnant women from the 47 total participants. Identified core themes regarding their experiences of the videoconference intervention were: positive experiences, negative experiences, suggestions and ideas, and screening and communication.
Conclusion

This study provides growing evidence informed by perinatal women of positive experiences with engagement in a videoconference intervention for PD. Telehealth may be a reasonable and acceptable platform to increase access and retention for mental health services in childbearing women. Further, this pilot work showcases videoconferencing delivery for a wide range of effective and affordable mental health services in low-resource communities.
Evolution of the groundwater system in the Chihuahua-Sacramento aquifer due to climatic and anthropogenic factors
Authors: Sánchez D. H. , Navarro-Gómez C. J. , Rentería M. , Rose J. F. , Sánchez-Navarro J. R. 
Published: November 2021

Abstract
Groundwater is the main source of water in arid cities where precipitations are low and not evenly distributed. The combined impact of climate variability and intensive human activities has caused a substantial decline in groundwater levels. Understanding the response of groundwater levels to meteorological and anthropogenic factors is a key step to propose water management alternatives. Meteorological and groundwater data were used to design a multi-step approach to assess the influential factors on the groundwater system in the City of Chihuahua, Mexico. The analysis of historical groundwater levels and climate showed a clear increase in meteorological drought, as well as a groundwater abstraction trend since 1986. Rainfall, groundwater recharge, and groundwater level displayed a significant decrease. Overall, the groundwater depth is continuously increasing with a strong correlation with groundwater abstraction. Despite having a significant trend, the changes in land-cover, groundwater recharge, and meteorological drought were not the main factors inducing the decreased level of water in the aquifer. The continuous abstraction of groundwater from 1986 to 2010 has led to a depletion of groundwater levels from 32 to 92 m. The findings of this study lay a foundation for future water resource management in the study area.
What roles do smart sensors play in citizens' water use? From the perspective of household water-saving
Authors: Tian Kang , Chen Zhuo 
Published: November 2021

Abstract
Rapid population growth has led to increasing demand for water resources. Studies have shown that the application of new technologies can effectively influence and promote citizens to save water. The application of smart water sensors can effectively monitor household water consumption and feedback the recorded data to citizens promptly, thereby influencing family members' water-saving attitudes and behaviours. For the widespread use of future water sensors in households, it can demonstrate its essential role in three aspects: water use information feedback to reduce water consumption, water information measurement helps to cultivate water conservation awareness, and water use information release as an effective means of behavioural intervention. This research provides some suggestions for the promotion and use of smart sensors in the home and points out the future research directions for the impact of water sensing on household water-saving behaviour.
Study on applicability of remote sensing precipitation products in hilly-plain-wetland complex area of northeast China
Authors: Wang Zhu-Xian , Wang Zi-Yang , Feng Peng , Dong Yang , Zhang Zhao-Wei , Yang Ying-Kui 
Published: November 2021

Abstract
For the hilly-plain-wetland complex ecosystem in the cold region of Northeast China, in order to solve the problems, which include the scarcity of surface rainfall stations and the inability to provide accurate surface precipitation for hydrological process simulation, based on the observed precipitation of rainfall stations, three remote sensing precipitation products are taken as objects of evaluation. They include TRMM (Tropical Rainfall Measuring Mission) 3B42V7,3B42RT and CHIRPS (Climate Hazards Group InfraRed Precipitation with Station data,CHIP). In this paper, the observation data of rainfall stations and IDWP precipitation data interpolated by IDW (Inverse Distance Weighted) are used as true value of precision comparison, and the detection accuracy of remote sensing precipitation products from 2001 to 2010 is evaluated on the time scale (day, month and quarter) and spatial scale in Naoli River Basin.The results of the study indicated that 3B42V7 and CHIP have a high detection accuracy for precipitation, and their CC (correlation coefficient) values are 0.47 and 0.49 respectively in daily time scale. The accuracy of their observation for monthly precipitation is better than that of daily precipitation, and the CC are 0.85 and 0.87 respectively. The multi-year average precipitation at different grid positions in the basin is overestimated by 3B42RT, and its evaluation results are poor at different time scales. For the precipitation intensity range of (0,20], the observed results of 3B42V7 and rainfall station are close to each other. For the precipitation intensity ranges of (0,1) and (50,+∞), 3B42RT and CHIP have overestimated or underestimated the precipitation in different degrees. Based on the above analysis results, 3B42RT can be considered as data that can detect whether precipitation occurs on different spatial positions in the basin. 3B42V7 and CHIP can be applied to flood forecasting and non-point source pollution control in cold regions.
Effects of three iron material treatments on hydrogen sulfide release from anoxic sediments
Authors: Inoue Tetsunori , Hagino Yuki 
Published: November 2021

Abstract
In eutrophic coastal regions, hydrogen sulfide (H2S) is a harmful material released from sediments under anoxic conditions. To suppress its release, we conducted laboratory experiments and assessed the impacts of treatment with three iron materials (Fe, Fe2O3, and FeOOH), focusing on the area-specific H2S release rate. These materials qualitatively exhibited a substantial suppression of H2S release; however, smaller treatment levels (&lt;150 mmol m−2) were ineffective. FeOOH exhibited the best performance, followed by Fe2O3, and Fe. These differences were likely caused by variations in the oxidation or reduction potential of the materials and their reaction rates with H2S. A simplified model suggested that the required minimum Fe2+ concentration was determined using the H2S diffusivity, reaction rate constant, and treatment penetration depth. As the former two are physical constants, the latter must control the H2S release rate. Iron materials were experimentally confirmed to persist for over three weeks, and the effective treatment level was theoretically estimated as being capable of suppressing H2S release for more than a year. Our results will contribute to coastal environmental management and particularly benefit port authorities who manage enclosed and eutrophicated harbors and navigation channels where slag application should be avoided.
Determinants of Transfer Pricing Decisions in Mining Companies Listed on the Indonesian Stock Exchange
Authors: Saraswati Ade Maya 
Published: November 2021

Abstract: This research aims to analyse the effect of tax and tunnelling incentive to transfer pricing with good corporate governance as a moderating variable. This research focuses on all mining companies listed on the Indonesian Stock Exchange in the period from 2014-2018 by using the purposive sampling technique to determine the sample. There are 90 data observations used as the sample and analysed by using logistic regression and moderation regression analysis, with the help of the SPSS 20 program. The research result shows that tax has a positive effect on the decision of transfer pricing; tunnelling incentive does not have an effect on the decision of transfer pricing. Good corporate governance moderates the effect of tax to transfer pricing, meanwhile good corporate governance does not moderate the effect of tunnelling incentive to the decision of transfer pricing. Keywords: Good corporate governance; Tax; Transfer pricing; Tunnelling incentive Determinan Keputusan Transfer Pricing pada Perusahaan Pertambangan yang Terdaftar di Bursa Efek IndonesiaAbstrak: Penelitian ini bertujuan untuk menganalisis pengaruh pajak dan tunnelling incentive terhadap transfer pricing dengan good corporate governance sebagai variabel pemoderasi. Populasi dari penelitian ini adalah seluruh perusahaan pertambangan yang terdaftar di Bursa Efek Indonesia tahun 2014-2018 dengan penentuan sampel menggunakan teknik purposive sampling. Sampel dalam penelitian berjumlah 90 observasi data yang kemudian dianalisis menggunakan regresi logistik dan analisis regresi moderasi dengan bantuan program SPSS 20. Hasil penelitian menunjukkan bahwa pajak berpengaruh positif terhadap keputusan transfer pricing, tunneling incentive tidak berpengaruh terhadap keputusan transfer pricing, good corporate governance memoderasi pengaruh pajak terhadap transfer pricing, sedangkan good corporate governance tidak memoderasi pengaruh tunnelling incentive terhadap keputusan transfer pricing.Kata kunci: Good corporate governance; Pajak, Transfer pricing, Tunnelling incentive
Strategic Assessment of the Efficiency of Diversification of the Industry Investment Portfolio
Authors: Gavrilina D. N. , Ogareva A. S. 
Published: November 2021

One of the effective special tools used to achieve the least risk and sustainable income of investment in enterprises is the investment portfolio. At the same time, one of the simplest and most effective strategies to minimize investor risk is its diversification.The article presents the results of the performed strategic financial analysis of the effectiveness of diversification of the formed sectoral investment portfolio using the example of large enterprises of the metallurgical industry. The choice of industry was determined by the fact that metallurgy is one of the fastest growing industries in the world economy.The article analyzes the strategic development trends of the metallurgical industry and considers the three largest companies in this industry (“MMK”, “Severstal”, “NLMK”). Their activity was analyzed in dynamics based on financial reporting data presented on company websites.Comparative analysis was carried out on such indicators of financial analysis as current liquidity ratios, equity and financial leverage concentration ratios, as well as interest-to-payment ratios, turnover of reserves and funds in turnover, profitability of the companies under consideration.In the resulting formation of the investment portfolio, correlation coefficients between the returns of the shares of these companies were calculated. It was established that the financial situation, as well as the low correlation coefficient between the assets of the reviewed companies, allow us to form from their shares an industry investment portfolio that minimizes the risks of a potential investor.
Impianti di depurazione delle acque reflue: progettazione di sistemi di disinfezione
Authors: Striano Aurelio 
Published: November 2021

La disponibilità e qualità delle risorse costituiscono condizione
essenziale per il sostentamento di tutte le forme di vita animale e
vegetale, secondo un complesso sistema di equilibri tra produzione,
utilizzazione e accumulo.
L’uomo ha fondato il proprio sviluppo socio – economico sulla
disponibilità e qualità delle risorse naturali, accrescendo in modo
eccezionale la capacità di utilizzarle e modificarle in tempi molto
brevi, specie se confrontati con i tempi di crescita delle risorse
naturali. Da ciò consegue il rischio di provocare una significativa
riduzione della disponibilità.
Tale problematica, riguarda soprattutto la principale risorsa che l’uomo
ha avuto per prima a disposizione, sin dalla sua nascita, ossia l’acqua.
È necessario, pertanto, individuare sistemi che possano permettere il
riutilizzo di tale risorsa in una forma che non possa nuocere alla
salute dell’uomo.
È per tale motivo che assume particolare importanza il tema della
disinfezione delle acque, attraverso metodologie convenzionali, ma ancor
di più, attraverso metodologie avanzate e innovative, le quali, oltre ad
essere estremamente efficaci per la disinfezione delle acque, sono anche
molto efficienti sotto l’aspetto dell’inquinamento, che negli ultimi
tempi sta acquistando sempre più importanza.