bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Comprehensive Systemic Literature Review of Pericardial Decompression Syndrome: Often Unrecognized and Potentially Fatal Syndrome
Authors: Amro Ahmed , Mansoor Kanaan , Amro Mohammad , Sobeih Amal , Suliman Mohamed , Okoro Kelechukwu , El-Hamdani Rawan , Vilchez Daniel , El-Hamdani Mehiar , Shweihat Yousef R. 
Published: June 2020

Background:
Pericardial Decompression Syndrome (PDS) is defined as paradoxical
hemodynamic deterioration and/or pulmonary edema, commonly associated with ventricular dysfunction.
This phenomenon was first described by Vandyke in 1983. PDS is a rare but formidable
complication of pericardiocentesis, which, if not managed appropriately, is fatal. PDS, as an entity,
has discrete literature; this review is to understand its epidemiology, presentation, and management.

Methodology:
Medline, Science Direct and Google Scholar databases were utilized to do a systemic
literature search. PRISMA protocol was employed. Abstracts, case reports, case series and
clinical studies were identified from 1983 to 2019. A total of 6508 articles were reviewed, out of
which, 210 were short-listed, and after removal of duplicates, 49 manuscripts were included in this
review. For statistical analysis, patient data was tabulated in SPSS version 20. Cases were divided
into two categories surgical and percutaneous groups. t-test was conducted for continuous variable
and chi-square test was conducted for categorical data used for analysis.

Results:
A total of 42 full-length case reports, 2 poster abstracts, 3 case series of 2 patients, 1 case
series of 4 patients and 1 case series of 5 patients were included in the study. A total of 59 cases
were included in this manuscript. Our data had 45.8% (n=27) males and 54.2% (n=32) females.
The mean age of patients was 48.04 ± 17 years. Pericardiocentesis was performed in 52.5% (n=31)
cases, and pericardiostomy was performed in 45.8% (n=27). The most common identifiable cause
of pericardial effusion was found to be malignancy in 35.6% (n=21). Twenty-three 23 cases reported
pre-procedural ejection fraction, which ranged from 20%-75% with a mean of 55.8 ± 14.6%,
while 26 cases reported post-procedural ejection fraction which ranged from 10%-65% with a mean
of 30% ± 15.1%. Data was further divided into two categories, namely, pericardiocentesis and pericardiostomy.
The outcome as death was significant in the pericardiostomy arm with a p-value of <
0.00. The use of inotropic agents for the treatment of PDS was more common in needle pericardiocentesis
with a p-value of 0.04. Lastly, the computed recovery time did not yield any significance
with a p-value of 0.275.

Conclusion:
Pericardial decompression syndrome is a rare condition with high mortality. Operators
performing pericardial drainage should be aware of this complication following drainage of cardiac
tamponade, since early recognition and expeditious supportive care are the only therapeutic modalities
available for adequate management of this complication.
Phytochemical Composition and Antioxidant Activity of Trichoderma reesei Degraded Date (Phoenix dactylifera L.) Pits
Authors: Alyileili Salem R. , Hussein Ahmed S. , Ibrahim Wissam , El-Tarabily Khaled A. 
Published: June 2020

Background:
Date palm (Phoenix dactylifera L.) is a dominant fruit crop in most of the Arabian
countries. Date pits, as a major byproduct which remained after consumption of date flesh proved
to be valuable source of energy.

Methods:
Solid State Degradation (SSD) system was used for the preparation of degraded date pits.
Date pits degraded with Trichoderma reesei were evaluated for their proximate, chemical composition
and antioxidant activity.

Results:
The crude fiber content of degraded date pits was found to be 20.8 %, ash (2.09%), crude fat
(7.2%), protein (5.56%), and total carbohydrate (87.2%). Neutral detergent fiber (NDF) and acid detergent
fiber (ADF) was found to be 74.6% and 45.7%, respectively. Monosaccharide composition of fiber
showed that the degradation with T. reesei significantly (P<0.05) enhanced the glucose and mannose
content of cellulose, hemicellulose and lignin. Pectin, total carbohydrate and mannan oligosaccharide
content were also increased in degraded date pits in which galactose and mannose were the major neutral
sugars. Among the studied minerals, potassium, calcium, magnesium, sulphur and phosphorus were
predominant. The phenolic and flavonoid contents of degraded date pits significantly (P<0.05) increased
to 14.230 g Gallic equivalent/100g DW and 11.68 g Rutin equivalent /100g DW. Degraded date pits
also showed significant antioxidant activity as evidenced by the results of 2,2-diphenyl-1-
picrylhydrazyl(DPPH), 2,2'-azino-bis(3-ethylbenzothiazoline 6 sulphonicacid) (ABTS) and Ferric Reducing
Antioxidant Power (FRAP) assays.

Conclusion:
Biological degradation with T. reesei significantly (P<0.05) improved the nutritional effect
of date pits and thereby its potential usage in food industry was greatly improved.
MK-FSVM-SVDD: A Multiple Kernel-based Fuzzy SVM Model for Predicting DNA-binding Proteins via Support Vector Data Description
Authors: Zou Yi , Wu Hongjie , Guo Xiaoyi , Peng Li , Ding Yijie , Tang Jijun , Guo Fei 
Published: June 2020

Background:
Detecting DNA-binding proteins (DBPs) based on biological and chemical
methods is time-consuming and expensive.

Objective:
In recent years, the rise of computational biology methods based on Machine Learning
(ML) has greatly improved the detection efficiency of DBPs.

Method:
In this study, the Multiple Kernel-based Fuzzy SVM Model with Support Vector Data
Description (MK-FSVM-SVDD) is proposed to predict DBPs. Firstly, sex features are extracted
from the protein sequence. Secondly, multiple kernels are constructed via these sequence features.
Then, multiple kernels are integrated by Centered Kernel Alignment-based Multiple Kernel
Learning (CKA-MKL). Next, fuzzy membership scores of training samples are calculated with
Support Vector Data Description (SVDD). FSVM is trained and employed to detect new DBPs.

Results:
Our model is evaluated on several benchmark datasets. Compared with other methods, MKFSVM-
SVDD achieves best Matthew's Correlation Coefficient (MCC) on PDB186 (0.7250) and
PDB2272 (0.5476).

Conclusion:
We can conclude that MK-FSVM-SVDD is more suitable than common SVM, as the
classifier for DNA-binding proteins identification.
Trend Linking of Multiple System Atrophy: A Scientometric Study
Authors: Khazaneha Mahdiyeh , Osareh Farideh , Shafiee Kaveh 
Published: June 2020

Aim:
This study aims to add to previous analyses and describe the trends in MSA research
from three decades, 1988 to 2018, through assessing the medical literature. Additionally, a collaboration
network was analyzed to determine the most common process in development of MSA research.

Methods:
This research was a descriptive survey with a scientometric approach. The data for the present study were collected from the Web of Science (WoS) and search strategy based on Medical Subject Heading (MeSH) term. In this research, the data analysis was performed based on collaboration
network and theme analysis.

Results and Conclusion:
In this study, 6530 articles were retrieved from 1988 to 2018 divided in three
different periods. These articles were drafted by 39,184 authors, 3,865 organizations, 80 countries, and
832 journals. Further, 287 articles with more than 100 citations were found. The global citation score
(GCS) was 250,834 times and the average citations per article was 3,841 times. The MSA research
field demonstrated a diagram for a chronological period to assess the most relevant themes. Each diagram depended on the sum of documents linked to each research topic. Scientometric analysis of the
field of MSA can be regarded as a roadmap for future research and policymaking in this important
area.
Theaflavin Enriched Black Tea Extract Alleviates Diabetic Nephropathy by Suppressing Hyperglycaemia-Mediated Oxidative Stress and Inflammation in Streptozotocin-Induced Rats
Authors: Sarkar Dhrubajyoti , Bose Sekhar Kumar , Chakraborty Tania , Roy Souvik 
Published: June 2020

Background:
Diabetic Nephropathy (DN), a microvascular complication of diabetes has
been a significant health issue globally. However, theaflavin enriched black tea extract (BTE-TF)
could restrain DN.

Objective:
The main objective of this exploration was to elucidate the effect of BTE-TF on DN,
though the underlying mechanism remains unclear and requires further investigation.

Methods:
The tea leaves were fermented to get black tea extract. Total phenolic content and HPLC
were carried out to determine the phenolic content and theaflavin in the extract. Streptozotocin induced
diabetic rats were treated with 100, 200, and 400 mg/kg/day BTE-TF extract for 12 weeks.
Biochemical parameters like blood glucose, creatinine, Blood Urea Nitrogen (BUN), triglyceride and
antioxidant parameters of kidney tissue were measured. Histology, immunohistochemistry and
TUNEL assay were performed to observe the effect of the extract with comparison to the standard
drug (Metformin 200mg/kg/day).

Result:
Treated animals exhibited reduced blood glucose levels, blood urea nitrogen (BUN), creatinine,
and serum triglycerides. Further, BTE-TF restored the histological alterations in the kidney.
Chronic hyperglycaemia resulted in a significant increase in oxidative stress and pro-inflammatory
cytokines of NF-kβ pathway. BTE-TF attenuated oxidative stress (p<0.01), inflammation (p<0.05)
and apoptosis (p<0.05).

Conclusion:
This study suggests that BTE-TF exerts a protective role against diabetes-induced renal
injury by ameliorating oxidative stress, inflammation, and apoptosis.
Method and System for Testing the Working Characteristics of Vehicle Fuel Injector
Authors: Liu Bin , Li Yanhao , Han Fangfang , Qiao Qian , Li Jianwen 
Published: June 2020

Background:
The vehicle fuel injector directly affects the power performance, emission
characteristics and economic efficiency of the engine. At present, several testing standards are stipulated
on accurate measurement of the working characteristics of fuel injectors.

Objective:
The purpose of this study is to provide an efficient patent about the method and system for
testing the working characteristics of a vehicle fuel injector.

Methods:
Two key techniques are significant to establish a standard test environment. The patent about
the pressure control approach and the injector driving method was proposed. The adaptive fuzzy PID
approach was applied to control pressure. An adaptive multi-functional driver was designed and developed
for both the voltage-driven and current-driven port fuel injectors.

Results:
The experiments on the two key technologies were conducted. During the dynamic flow test,
the settling time using the system was 1ms. For the static flow test, the settling time was 1 s. The
maximum changing rate of pressure fluctuation was 1%. Then, the system was verified by test on the
flow characteristics and dynamic response of the voltage-driven and current-driven injectors. The linear
deviation of each dynamic flow curve was between ± 3% to ± 6%. Furthermore, the deviation of the
dynamic flow curves from the repeated test was small. The maximum deviation of the static flow results
was less than 4% and the dynamic response of the injector varied with the change of the pressure.

Conclusion:
The system meets the requirements of the related standards. The experimental results
prove that the system is stable and reliable.
4,4′-Isopropylidenebis(2,6-dibromophenol) Photocatalytic Debromination on Nano- and Micro-Particles Fe3O4 Surface
Authors: Kisała Joanna , Tomaszewska Anna , Pogocki Dariusz 
Published: June 2020

Background:
Tetrabromobisphenol A (4,4’-isopropylidenebis(2,6-dibromophenol), TBBPA)
is one of the most widely used brominated flame retardants. Due to its widespread use, high lipophilicity,
and persistence, it has been detected in various environmental samples. Therefore, it is of
great significance to develop methods to efficiently remove TBBPA from the contaminated environment.

Objective:
The aim of our study was to examine photocatalytic dehalogenation of TBBPA on microand
nano-sized Fe3O4 exposed to the visible light. The Fe3O4 catalyst was chosen due to its indisputable
low impact on the environment.

Methods:
A solution of TBBPA (1.84 × 10-4 mol dm-3) with a pH = 8 with suspended catalyst was illuminated
(light intensity about 1.1x1017 photons per second, spectrum range 200-600 nm) for 1 hour.
Analysis of the reaction progress was carried out by HPLC measurements of TBBPA decay and potentiometric
measurements of an increase in bromide concentration.

Results:
The degradation process seems to be the most effective for TBBPA in the reaction mixture
containing the n-Fe3O4 (t0.5 ≈ 2 min). Slightly lower degradation efficacy is observed for TBBPA degradation
in the presence of the μ-Fe3O4 (decay within the first 5 min). TBBPA decomposition of both
n-Fe3O4 and μ-Fe3O4 is accompanied by different bromide concentrations time-profile.

Conclusion:
The photogenerated electron-induced degradation by dissociative-attachment to the aromatic
ring was followed by bromine ion expulsion. The micro-magnetite showed a strong tendency
for adsorption of bromide anions during the process, which could be adventurous for the overall
waste-decontamination process.
A Predictive Model Based on Machine Learning for the Early Detection of Late-Onset Neonatal Sepsis: Development and Observational Study
Authors: Song Wongeun , Jung Se Young , Baek Hyunyoung , Choi Chang Won , Jung Young Hwa , Yoo Sooyoung 
Published: June 2020

Background
Neonatal sepsis is associated with most cases of mortalities and morbidities in the neonatal intensive care unit (NICU). Many studies have developed prediction models for the early diagnosis of bloodstream infections in newborns, but there are limitations to data collection and management because these models are based on high-resolution waveform data.

Objective
The aim of this study was to examine the feasibility of a prediction model by using noninvasive vital sign data and machine learning technology.

Methods
We used electronic medical record data in intensive care units published in the Medical Information Mart for Intensive Care III clinical database. The late-onset neonatal sepsis (LONS) prediction algorithm using our proposed forward feature selection technique was based on NICU inpatient data and was designed to detect clinical sepsis 48 hours before occurrence. The performance of this prediction model was evaluated using various feature selection algorithms and machine learning models.

Results
The performance of the LONS prediction model was found to be comparable to that of the prediction models that use invasive data such as high-resolution vital sign data, blood gas estimations, blood cell counts, and pH levels. The area under the receiver operating characteristic curve of the 48-hour prediction model was 0.861 and that of the onset detection model was 0.868. The main features that could be vital candidate markers for clinical neonatal sepsis were blood pressure, oxygen saturation, and body temperature. Feature generation using kurtosis and skewness of the features showed the highest performance.

Conclusions
The findings of our study confirmed that the LONS prediction model based on machine learning can be developed using vital sign data that are regularly measured in clinical settings. Future studies should conduct external validation by using different types of data sets and actual clinical verification of the developed model.
The Therapeutic Alliance in Digital Mental Health Interventions for Serious Mental Illnesses: Narrative Review
Authors: Tremain Hailey , McEnery Carla , Fletcher Kathryn , Murray Greg 
Published: June 2020

Background
Digital mental health interventions offer unique advantages, and research indicates that these interventions are effective for a range of mental health concerns. Although these interventions are less established for individuals with serious mental illnesses, they demonstrate significant promise. A central consideration in traditional face-to-face therapies is the therapeutic alliance, whereas the nature of a digital therapeutic alliance and its relationship with outcomes requires further attention, particularly for individuals with serious mental illnesses.

Objective
This narrative review aims to encourage further consideration and critical evaluation of the therapeutic alliance in digital mental health, specifically for individuals with serious mental illnesses.

Methods
A narrative review was conducted by combining 3 main areas of the literature: the first examining the evidence for digital mental health interventions for serious mental illnesses, the second illuminating the nature and role of the therapeutic alliance in digital interventions, and the third surrounding practical considerations to enhance a digital therapeutic alliance.

Results
Results indicated that a therapeutic alliance can be cultivated in digital interventions for those with serious mental illnesses, but that it may have unique, yet-to-be-confirmed characteristics in digital contexts. In addition, a therapeutic alliance appears to be less directly associated with outcomes in digital interventions than with those in face-to-face therapies. One possibility is that the digital therapeutic alliance is associated with increased engagement and adherence to digital interventions, through which it appears to influence outcomes. A number of design and implementation considerations may enhance the digital therapeutic alliance, including human support and technological features.

Conclusions
More research is required to further understand the nature and specific role of a therapeutic alliance in digital interventions for serious mental illnesses, particularly in informing their design. This review revealed several key research priorities to advance the therapeutic alliance in digital interventions.
Historic centres of Syrian towns ruined by the war: restoration through urban planning
Authors: Shcherbina Elena V. , Belal Ali A. , Salmo Ali 
Published: June 2020

Introduction. Urban development of historic centres of towns, destroyed by man-induced disasters, means finding the balance between the preservation of the cultural environment and development of a new medium capable of meeting present-day challenges. These problems can be effectively tackled in respect of architectural ensembles, monuments of history and architecture having the status of world heritage sites, as they are restored through the efforts of the world community. This problem is particularly acute in the historic cities of Syria that suffered from warlike operations at the outset of the 21st century.
Materials and methods. The system approach was employed by the co-authors to develop and present a historic and genetic model and to set the borders of territories that can be qualified as historic landmarks. Processed aerial imagery and on-site examination of buildings have enabled the co-authors to assess the extent of destruction of buildings and structures, located within the borders of urban historic centres, identified by means of urban zoning techniques.
Results. The co-authors have ranked the buildings and structures in the districts of Homs, Syria, using the extent of destruction as a criterion. They also propose a definition for the notion of cultural heritage sites (“CHS”), as well as the typology of CHS or “landmarks” in the Syrian Arab Republic. The co-authors offer a methodology for the examination of localities, destroyed during the war, needed to develop their restoration roadmaps. They have also substantiated the need to regenerate the urban environment in the Bani Sibhaa community, to restore the historic centre of Homs to its initial appearance due to its status of a special cultural heritage site, as it has fragments of historic urban planning and ancient buildings.
Conclusions. The damage assessment of buildings, structures, and items of historic and cultural heritage, performed using qualitative values, helps to assess the condition of the cultural environment, resources and valuables available in the historic centre; it also serves as the basis for urban zoning and setting boundaries of historical sites. The approach, developed by the co-authors, encompasses prerequisites and a set of instruments to be used to develop reconstruction strategies for the areas previously exposed to military operations, as well as urban development programmes, that will boost cultural processes capable of producing positive impact on urban and regional economies through job generation, travel industry development, and revival of folk crafts. The findings will be contributed to the conceptual design of multiscale cultural policy events that can boost the development of local areas.
Spatial planning problems of Naberezhnye Chelny in the post-soviet period
Authors: Dembich Aleksandr A. , Zakirova Yuliya A. 
Published: June 2020

Introduction. The research project is focused on the identification of formation features, the analysis and projection of functional and spatial development patterns of Naberezhnye Chelny, a unique Soviet city. The city’s rapid development dates back to the 70ies of the 20th century, when it was boosted by the construction of the Kama automobile factory in 1969. The city has a linear structure, which reproduces N. Milyutin’s linear city model. The objectives of the work are to identify features of the city’s structural and functional organization, to analyze the compliance between the present-day spatial structure of the city, advanced urban development trends and the customary mode of life lead by local residents, to set key development and transformation objectives in terms of the city’s functional planning structure and spatial environment.
Materials and methods. The methodology represents an integrated approach that encompasses the collection, systematization and analysis of literary, project-related, and cartographic materials, comparison of data obtained from different sources and historic periods to identify urban development features and trends, the analysis of urban planning and legislative documentation, the reconciliation of field observations and the historic development of industrial cities with a view to the transition to a novel technological development paradigm.
Results. Principal findings represent urban development problems identified by the co-authors, patterns of strategic spatial transformations of the city, and an integrated urban development model designed by the co-authors.
Conclusions. The co-authors have designed a concept model for the spatial and territorial development of Naberezhnye Chelny as the basis for the development and update of respective urban and spatial planning documents. First-stage concept implementation actions are proposed.