bluuebunny/crossref_metadata_2025_split huggingface dataset:
Assessment of rice yield gap under a changing climate in India
Authors: Debnath Subhankar , Mishra Ashok , Mailapalli D. R. , Raghuwanshi N. S. , Sridhar V. 
Published: September 2020

Abstract
Climate change evokes future food security concerns and needs for sustainable intensification of agriculture. The explicit knowledge about crop yield gap at country level may help in identifying management strategies for sustainable agricultural production to meet future food demand. In this study, we assessed the rice yield gap under projected climate change scenario in India at 0.25° × 0.25° spatial resolution by using the Decision Support System for Agrotechnology Transfer (DSSAT) model. The simulated spatial yield results show that mean actual yield under rainfed conditions (Ya) will reduce from 2.13 t/ha in historical period 1981–2005 to 1.67 t/ha during the 2030s (2016–2040) and 2040s (2026–2050), respectively, under the RCP 8.5 scenario. On the other hand, mean rainfed yield gap shows no change (≈1.49 t/ha) in the future. Temporal analysis of yield indicates that Ya is expected to decrease in the considerably large portion of the study area (30–60%) under expected future climate conditions. As a result, yield gap is expected to either stagnate or increase in 50.6 and 48.7% of the study area during the two future periods, respectively. The research outcome indicates the need for identifying plausible best management strategies to reduce the yield gap under expected future climate conditions for sustainable rice production in India.
Sustainable operation mode of a sand filter in a drip irrigation system using Yellow River water in an arid area
Authors: Jiao Youquan , Feng Ji , Liu Yanzheng , Yang Linlin , Han Minqi 
Published: September 2020

Abstract
The depletion of water resources directly restricts the sustainable development of agriculture, especially in arid areas. Sand filters are one of the most widely used filters in agricultural water-saving drip irrigation systems, because of their effectiveness in intercepting sewage. Up to now, little information has been reported on the sustainable operation mode of the sand filter in a drip irrigation system using Yellow River water, which is a non-conventional water resource. In our research, based on the study of the change in head loss of the empty tank of the filter using fresh water, we studied the effect of different filter particle sizes, filtration flow rates and backwash flow rates on the filter performance using Yellow River water, and obtained the optimal operation mode of the sand filter for the drip irrigation system. This was achieved when the filter material particle size was 1.70–2.35 mm, the filtration flow rate was 0.018 m/s, and the backwash flow rate was 0.022 m/s. This study provided theoretical support for the large-scale promotion of drip irrigation using Yellow River water, and contributed to maintaining rural, social and economic stability within sustainable development.
User satisfaction with rural water drinking points in Woliso District, Central Ethiopia
Authors: Mekuriaw Abate , Gurmessa Birki 
Published: September 2020

Abstract
Access to safe drinking water is essential to healthy living. Thus, investment in rural drinking water points is increasing in Ethiopia. However, little is known about user satisfaction with rural drinking water points. Therefore, this study was undertaken to investigate determinants of the user's satisfaction with rural drinking water points in Ethiopia by considering Woliso District (Woreda) as a case study. A semi-structured questionnaire was administered with 211 randomly selected households from six rural Kebeles (administrative areas), which were selected using a stratified sampling technique. Focus group discussions (FGD) and key interviews (KI) were also held along with observation. The quantitative data were analysed through descriptive statistics and binary logistic regression. The qualitative data were used to augment the results from the regression analysis. The results revealed that location of the water point, availability of guards, queueing time, service reliability, and distance significantly influence the satisfaction of users. Therefore, these significant factors should be addressed when planning water supply projects.
Icyano: a cyanobacterial bloom vulnerability index for drinking water treatment plants
Authors: Barros Mário U. G. , Leitão João I. R. , Aranha Thaís R. B. T. , Simsek Serhat , Buley Riley P. , Fernandez-Figueroa Edna G. , Gladfelter Matthew F. , Wilson Alan E. , Capelo-Neto Jose 
Published: September 2020

Abstract
Managing freshwater systems has become a challenge for global water utilities given that cyanobacterial blooms have been increasing in frequency and intensity. Consequently, a water quality index that uses conventional measurements to assess toxic cyanobacterial hazards and guide the selection of proper treatment technologies could benefit water resource managers about water quality parameters routinely analyzed in line with environmental changes. An index model, called Icyano, showed that chlorophyll-a, cyanobacterial concentration, and total nitrogen were most important for the index. All reservoirs classified as good by Icyano used direct filtration water treatment technology. Many of the medium Icyano-classified reservoirs used a pre-treatment unit followed by a direct filtration unit. Two reservoirs that were classified as bad or very bad have been utilizing pre-treatment + direct filtration or a complete cycle technology, respectively. As the Icyano index increases, water treatment plants should switch from direct filtration to using a pre-treatment to improve finished water quality. Findings from this project suggest that the direct filtration technology initially used in water treatment plants is not capable of meeting the current water quality guidelines in reservoirs that contain adverse water quality conditions, mostly related to an increase in toxic cyanobacterial blooms. As such, based on our findings, we recommend prioritizing financial resources towards pre-treatment technology or changes to more advanced technologies when Icyano index values increase.
Phytoremediation of samples extracted from wastewater treatment plant and their socioeconomic impact
Authors: Rajhi Hayfa , Bardi Anouar , Sadok Salwa , Moussa Mohamed , Turki Saifeddine 
Published: October 2020

AbstractThe physico-chemical and bacteriological quality was evaluated in wastewater samples before and after treatment by microalgae enrichment. Three types of wastewater samples – raw water, inlet water and outlet water – were taken directly from the wastewater treatment plant and subjected to microalgae enrichment culture during two months. The main objective of this work was to apply a phytoremediation process based on the use of compulsory microalgae treatment of wastewater from treatment plants compared to other secondary treatments. The biomass of microalgae was extracted to determine the concentrations of phenolic compounds, sugars and especially lipids, which can be subsequently transformed into biodiesel. As a result, the pH showed a significant increase after microalgae proliferation, with values ranging from 9.94 to 10.36. Bacterial community analysis before and after microalgae culture showed a clear shift in biomass content. The total coliform (TC) and the fecal coliform (FC) contents decreased after microalgae enrichment. In addition, the fecal streptococci (FS) and Pseudomonas present in the different wastewater samples completely disappeared after treatment. The applied phytoremediation process showed a drop until the disappearance of the contagious microbes – which present a very serious health risk – due to the release of the quinic acid. The quinic acid observed in the treated waters exceeded the content of 464.328 mg/L. This phenolic compound naturally produced during the process demonstrated a very effective antimicrobial power. However, a significant increment of 100% of phenol compound removal was observed after microalgae enrichment. The lipid content in the various studied samples appeared after microalgae culture. In addition, the heavy metals, namely cadmium and chromium, were completely eliminated after the treatment. Several socioeconomic advantages can be achieved by the use of this process, notably the environmental advantages of bioenergetics and economic and social benefits of the non-expensive valorization of wastewaters for irrigation.
The place of echocardiography with physical activity in the diagnosis of stable coronary heart disease: State of the Art
Authors: Tarkova A. , Grazhdankin I. , Malozemov K. , Bergen T. 
Published: September 2020

Ischemic heart disease is the most common cause of death in developed countries. Diagnostic methods for ischemic heart disease can be classified into functional (stress tests: echocardiography with physical or pharmacological stress, perfusion myocardial scintigraphy with physical or pharmacological stress, magnetic resonance imaging of the heart with physical or pharmacological stress) and imaging (computed tomographic coronary angiography and selective coronary angiography) methods. An algorithm has been developed for assessing the pretest probability of coronary heart disease, according to the clinical picture of the disease, complaints, age and sex of the patient that simplifies the procedure for making a decision regarding the diagnostic method. As per the data from previous studies, stress tests have shown comparable sensitivity and specificity, making it possible to choose a diagnostic method based on other factors, such as method safety, operator dependence, physiology and availability. This study focuses on stress echocardiography as the safest and most affordable diagnostic method. We present an algorithm for performing echocardiography with exercise as per the data from European and national Russian guidelines. Received 2 March 2020. Revised 27 April 2020. Accepted 27 April 2020.Funding: The study did not have sponsorship.Conflict of interest: Authors declare no conflict of interest.
A 13-Immune Gene Set Signature for Prediction of Colon Cancer Prognosis
Authors: Lu Zhuo , Chen Jin , Yan JiongYi , Liu QiaoMing , Li Fang , Xiong WanNa , Lin Shida , Yu Kai , Liang Jianqin 
Published: October 2020

Background:
Colon cancer is one of the most common cancers worldwide and has a
poor prognosis. Through the analysis of transcriptome and clinical data of colon cancer, an immune
gene-set signature was identified by single sample enrichment analysis (ssGSEA) scoring to
predict patient survival and discover new therapeutic targets.

Objective:
To study the role of immune gene-set signature in colon cancer.

Methods:
First, RNASeq and clinical follow-up information were downloaded from The Cancer
Genome Atlas (TCGA). Immune gene-related gene sets were collected from the ImmPort database.
Genes and immunological pathways related to prognosis were screened in the training set and integrated
for feature selection using random forest. The immune gene-related prognosis model was
verified in the entire TCGA test set and GEO validation set and compared with immune cells
scores and matrix score.

Results:
A total of 1650 prognostic genes and 13 immunological pathways were identified. These
genes and pathways are closely related to the development of tumors. 13-immune gene-set signature
was established, which is an independent prognostic factor for patients with colon cancer. Risk
stratification of samples could be carried out in the training set, test set, and external validation set.
The AUC of five-year survival in the training set and validation set is greater than 0.6. Immunosuppression
occurs in high-risk samples and compared with published models, riskScore has a better
prediction effect.

Conclusion:
This study constructed a 13-immune gene-set signature as a new prognostic marker to
predict the survival of patients with colon cancer, and provided new diagnostic/prognostic biomarkers
and therapeutic targets for colon cancer.
The Impact of First Childbirth Experience on Women’s Attitude Towards Having Another Child and Subsequent Vaginal Birth
Authors: Ghanbari-Homayi Solmaz , Mohammad-Alizadeh-Charandabi Sakineh , Meedya Shahla , Jafarabadi Mohammad Asghari , Mohammadi Eesa , Mirghafourvand Mojgan 
Published: October 2020

Background:
Some women may consider childbirth an unpleasant event, which can
influence their decisions on subsequent pregnancies and type of birth.

Objective:
The aim of this study was to determine the proportion of negative childbirth experience
and its relationship with women’s attitudes towards subsequent pregnancy and vaginal birth.

Methods:
The study design was a cross-sectional. A cluster sampling was used to recruit 800 primiparous women from
health centers in Tabriz, Iran. The Persian version of the Childbirth Experience Questionnaire was used to assess women’s
childbirth experiences. Univariate and multivariate logistic regression was used to assess the impact of childbirth
experiences on women’s attitudes towards subsequent pregnancy and vaginal birth.

Results:
Thirty-seven percent of women reported a negative childbirth experience. There was a
statistically significant relationship between childbirth experience and the attitude of women towards
subsequent pregnancy (p<0.001) and vaginal birth (p<0.001). By controlling the effects of
potential confounding variables such as socio demographic characteristics, negative childbirth experience
was found to be an independent predictive factor for women’s reluctance towards subsequent
pregnancies [OR= 0.42 (CI 95%: 0.57 to 0.31), p<0.001] and vaginal birth [OR= 0.08 (CI 95%:
0.14 to 0.04); p<0.001].

Conclusion:
Negative childbirth experience is associated with a reduced willingness for women to get pregnant again and
have vaginal birth. It is recommended that key stakeholders pay attention to strategies to improve childbirth experiences
among primiparous women in Iran.
Advances in Sample Digestion Using Microwave-ultraviolet Radiations: Phosphorus and Sulfur Determination in Animal Feed
Authors: Novo Diogo L. R. , Scaglioni Priscila T. , Pereira Rodrigo M. , Rondan Filipe S. , Coelho Junior Gilberto S. , Mesko Marcia F. 
Published: October 2020

Background:
Conventional analytical methods for phosphorus and sulfur determination
in several matrices present normally analytical challenges regarding inaccuracy, detectability
and waste generation.

Objective:
The main objective is proposing a green and feasible analytical method for phosphorus
and sulfur determination in animal feed.

Methods:
Synergic effect between microwave and ultraviolet radiations during sample preparation
was evaluated for the first time for the animal feed digestion associated with further phosphorus
and sulfur determination by ion chromatography with conductivity detection. Dissolved
carbon and residual acidity in the final digests were used for the proposed method assessment.
Phosphorus and sulfur values were compared with those obtained using conventional microwaveassisted
wet digestion in closed vessels associated with inductively coupled plasma optical emission
spectrometry and with those obtained using an official method (Association of Official Analytical
Chemists International). Recovery tests and certified reference material analyses were performed.
Animal feeds were analyzed using the proposed method.

Results:
Sample masses of 500 mg were efficiently digested using only 2 mol L-1 HNO3. The results
obtained by the proposed method were not differing significantly (p > 0.05) from those obtained
by conventional and by official methods. Suitable recoveries (from 94 to 99%), agreement
with certified values (101 and 104%), and suitable relative standard deviations (< 8%) were
achieved. Phosphorus and sulfur content in commercial products varied in a wide range (P: 5,873
to 28,387 mg kg-1 and S: 2,165 to 4,501 mg kg-1).

Conclusion:
The proposed method is a green, safe, accurate, precise and sensitive alternative for
animal feed quality control.
Downregulation of GPR4 and TCF7 Promotes Apoptosis and Inhibits Growth and Invasion of Ovarian Cancer Cells
Authors: Bai Zhuanli , Wu YinYing , Yan Yanli , Bai Shuheng , Kang Haojing , Ma Wen , Zhang Jiangzhou , Gao Ying , Hui Beina , Ma Hailin , Li Rong , Zhang Xiaozhi , Ren Juan 
Published: October 2020

Background:
G Protein-coupled Receptor 4 (GPR4) has been reported to play essential roles in
regulating the proliferation, migration and angiogenesis of vascular endothelial cells. GPR4 is also suggested to
play significant roles in the growth and angiogenesis of ovarian cancer.

Objective:
To explore the functions of GPR4 and Transcription Factor 7 (TCF7) in ovarian cancer.

Methods:
The expression levels of genes involved in Wnt signaling were validated by quantitative Real-Time-
PCR (q-RT-PCR). The effects of GPR4 and TCF7 on ovarian cancer cell invasion and apoptosis were determined
using soft agar, transwell assay and flow cytometric assay. Protein levels of beta-catenin, MMP-2 and MMP-9
were evaluated by Western blotting.

Results:
In this study, we found that GPR4 and TCF7 had the capacity to control cell division by altering cell
cycle distribution, anchorage-independent growth, and directional cell motility of ovarian cancer cell A2780.
Also, we showed that the knockdown of GPR4 and TCF7 in ovarian cancer cell A2780 induced significant
inhibitition of cell growth and invasion, as well as the promotion of apoptosis. Downregulation of TCF7 resulted
in the decreased MMP-2 and MMP-9 levels.

Conclusion:
The results implicate that GPR4 behaves like an oncogene and may function through WNT pathway
molecule TCF7. Downregulation of GPR4 and TCF7 essentially inhibited cell growth and invasion and enhanced
apoptosis of ovarian cancer cells, which may lay a foundation for ovarian cancer treatment.
The AMPAR Antagonist Perampanel Regulates Neuronal Necroptosis via Akt/GSK3β Signaling After Acute Traumatic Injury in Cortical Neurons
Authors: Chen Tao , Yang Li-Kun , Zhu Jie , Hang Chun-Hua , Wang Yu-Hai 
Published: October 2020

Background:
Perampanel is a highly selective and non-competitive α-amino-3-hydroxy-
5 -methyl-4-isoxazole propionate (AMPA) receptor (AMPAR) antagonist, which has been licensed
as an orally administered antiepileptic drug in more than 55 countries. Recently, perampanel
was found to exert neuroprotective effects in hemorrhagic and ischemic stroke models.

Objective:
In this study, the protective effect of perampanel was investigated.

Methods:
The protective effect of perampanel was investigated in an in vitro Traumatic Neuronal
Injury (TNI) model in primary cultured cortical neurons.

Results:
We found that perampanel significantly preserved morphological changes, attenuated lactate
dehydrogenase (LDH) release and inhibited caspase-3 activation after TNI. The TNI-induced
necroptosis, as evidenced by flow cytometry, was markedly reduced by perampanel treatment. The
results of western blot showed that perampanel decreased the expression and phosphorylation of
the necroptotic factors, receptor protein interacting kinase 1 (RIPK1) and RIPK3. In addition, treatment
with perampanel increased the phosphorylation of Akt and GSK3β in a time-dependent manner
up to 24 h after TNI. Treatment with the Akt inhibitor LY294002 partially reversed the protective
effects of perampanel.

Conclusion:
Our present data suggest that necroptosis plays a key role in the pathogenesis of neuronal
death after TNI, and that perampanel might have therapeutic potential for patients with Traumatic
Brain Injury (TBI).
Adoption of a Personal Health Record in the Digital Age: Cross-Sectional Study
Authors: Yousef Consuela Cheriece , Thomas Abin , Alenazi Ahmed O , Elgadi Sumaya , Abu Esba Laila Carolina , AlAzmi Aeshah , Alhameed Abrar Fahad , Hattan Ahmed , Almekhloof Saleh , AlShammary Mohammed A , Alanezi Nazzal Abdullah , Alhamdan Hani Solaiman , Eldegeir Manal , Abulezz Rayf , Khoshhal Sahal , Masala Clara Glynis , Ahmed Omaima 
Published: October 2020

Background
As health care organizations strive to improve health care access, quality, and costs, they have implemented patient-facing eHealth technologies such as personal health records to better engage patients in the management of their health. In the Kingdom of Saudi Arabia, eHealth is also growing in accordance with Vision 2030 and its National Transformation Program framework, creating a roadmap for increased quality and efficiency of the health care system and supporting the goal of patient-centered care.

Objective
The aim of this study was to investigate the adoption of the personal health record of the Ministry of National Guard Health Affairs (MNGHA Care).

Methods
A cross-sectional survey was conducted in adults visiting outpatient clinics in hospitals at the Ministry of National Guard Health Affairs hospitals in Riyadh, Jeddah, Dammam, Madinah, and Al Ahsa, and primary health care clinics in Riyadh and Qassim. The main outcome measure was self-reported use of MNGHA Care.

Results
In the sample of 546 adult patients, 383 (70.1%) reported being users of MNGHA Care. MNGHA Care users were more likely to be younger (P<.001), high school or university educated (P<.001), employed (P<.001), have a chronic condition (P=.046), use the internet to search for health-related information (P<.001), and use health apps on their mobile phones (P<.001).

Conclusions
The results of this study show that there is substantial interest for the use of MNGHA Care personal health record with 70% of participants self-reporting use. To confirm these findings, objective data from the portal usage logs are needed. Maximizing the potential of MNGHA Care supports patient engagement and is aligned with the national eHealth initiative to encourage the use of technology for high-quality, accessible patient-centered care. Future research should include health care provider perspectives, incorporate objective data, employ a mixed-methods approach, and use a theoretical framework.
DISRUPSI DAN MASA DEPAN PROFESI HUKUM
Authors: Dwi Putro Widodo 
Published: September 2020

AbstractDisruption poses a threat on legal profession establishments such as law firms, notaries, as well as the courts. In the past, law used to be perceived as a complicated matter to laypersons and thus people dealing with the law required legal consultants in the past. However, artificial intelligence capable of resolving various legal issues has now become readily available making it unnecessary for people to consult with law firms. The main question is, why is artificial intelligence capable of replacing the human legal profession? In an effort to answer the said question, the research method looks at previous research predicting the occurrence of disruption in the area of law. The researcher also considers the most recent developments in the “competition” between the human legal profession and artificial intelligence. Any technology is bound to be replaced by an even more sophisticated technology, hence the legal profession applying a mechanical legal process is inevitably going to be replaced with speedier and more accurate artificial intelligence. IntisariDisrupsi mengancam kemapanan profesi hukum seperti kantor-kantor advokat, notaris, dan juga pengadilan. Jika sebelumnya, hukum terasa rumit bagi banyak orang awam sehingga memerlukan konsultan hukum bagi yang berurusan dengan hukum, kini telah tersedia artificial intelligence yang mampu memecahkan berbagai persoalan hukum sehingga orang tidak perlu konsultasi ke kantor hukum. Pertanyaan mendasar, mengapa artificial inttelligence dapat menggantikan profesi hukum manusia? Untuk menjawab pertanyaan itu, Penulis menelusuri penelitian-penelitian sebelumnya yang memprediksi munculnya disrupsi di bidang hukum. Penulis juga melihat perkembangan terbaru “kompetisi” antara profesi hukum manusia dan artificial intelligence. Teknologi yang lebih canggih akan menggantikan sesuatu yang bersifat teknologi pula, maka profesi hukum yang cara berhukumnya mekanis akan digantikan oleh artificial intelligence yang lebih cepat dan akurat.