bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Review on Mechanistic and Pharmacological Findings of Diabetic Peripheral Neuropathy including Pharmacotherapy
Authors: Tiwari Ruchi , Wal Pranay , Singh Priya , Tiwari Gaurav , Rai Awani 
Published: September 2020

Background:
Chronic hyperglycemia and related complications involving peripheral
nerves in diabetes are one of the most severe microvascular complications with an average prevalence
of 50–60%. Diabetic neuropathy is among the vascular disorders of diabetes, the most debilitating
and crippled, lethal condition impacting patients’s quality of life.

Methods:
In the present review article, several hypotheses associated with the pathogenesis of Diabetic
Peripheral Neuropathy (DPN) have been introduced, among them metabolic pathways associated
with polyol pathway, oxidative stress, production of reactive oxygen species (ROS) amplified
under chronic hyperglycemic conditions and activation of transcription factor Nuclear factor-κB (NF-
κB). The review article also possesses pathogenetic and pharmacologic treatments along with
others, including acupressure, lidocaine, and capsaicin for DPN.

Conclusion:
It may be concluded that we can combat the pathogenesis of DPN with different
suggested treatments.
Detection of Suicidality Among Opioid Users on Reddit: Machine Learning–Based Approach
Authors: Yao Hannah , Rashidian Sina , Dong Xinyu , Duanmu Hongyi , Rosenthal Richard N , Wang Fusheng 
Published: September 2020

Background
In recent years, both suicide and overdose rates have been increasing. Many individuals who struggle with opioid use disorder are prone to suicidal ideation; this may often result in overdose. However, these fatal overdoses are difficult to classify as intentional or unintentional. Intentional overdose is difficult to detect, partially due to the lack of predictors and social stigmas that push individuals away from seeking help. These individuals may instead use web-based means to articulate their concerns.

Objective
This study aimed to extract posts of suicidality among opioid users on Reddit using machine learning methods. The performance of the models is derivative of the data purity, and the results will help us to better understand the rationale of these users, providing new insights into individuals who are part of the opioid epidemic.

Methods
Reddit posts between June 2017 and June 2018 were collected from r/suicidewatch, r/depression, a set of opioid-related subreddits, and a control subreddit set. We first classified suicidal versus nonsuicidal languages and then classified users with opioid usage versus those without opioid usage. Several traditional baselines and neural network (NN) text classifiers were trained using subreddit names as the labels and combinations of semantic inputs. We then attempted to extract out-of-sample data belonging to the intersection of suicide ideation and opioid abuse. Amazon Mechanical Turk was used to provide labels for the out-of-sample data.

Results
Classification results were at least 90% across all models for at least one combination of input; the best classifier was convolutional neural network, which obtained an F1 score of 96.6%. When predicting out-of-sample data for posts containing both suicidal ideation and signs of opioid addiction, NN classifiers produced more false positives and traditional methods produced more false negatives, which is less desirable for predicting suicidal sentiments.

Conclusions
Opioid abuse is linked to the risk of unintentional overdose and suicide risk. Social media platforms such as Reddit contain metadata that can aid machine learning and provide information at a personal level that cannot be obtained elsewhere. We demonstrate that it is possible to use NNs as a tool to predict an out-of-sample target with a model built from data sets labeled by characteristics we wish to distinguish in the out-of-sample target.
Online Patient Recruitment in Clinical Trials: Systematic Review and Meta-Analysis
Authors: Brøgger-Mikkelsen Mette , Ali Zarqa , Zibert John R , Andersen Anders Daniel , Thomsen Simon Francis 
Published: September 2020

Background
Recruitment for clinical trials continues to be a challenge, as patient recruitment is the single biggest cause of trial delays. Around 80% of trials fail to meet the initial enrollment target and timeline, and these delays can result in lost revenue of as much as US $8 million per day for drug developing companies.

Objective
This study aimed to conduct a systematic review and meta-analysis examining the effectiveness of online recruitment of participants for clinical trials compared with traditional in-clinic/offline recruitment methods.

Methods
Data on recruitment rates (the average number of patients enrolled in the study per month and per day of active recruitment) and conversion rates (the percentage of participants screened who proceed to enroll into the clinical trial), as well as study characteristics and patient demographics were collected from the included studies. Differences in online and offline recruitment rates and conversion rates were examined using random effects models. Further, a nonparametric paired Wilcoxon test was used for additional analysis on the cost-effectiveness of online patient recruitment. All data analyses were conducted in R language, and P<.05 was considered significant.

Results
In total, 3861 articles were screened for inclusion. Of these, 61 studies were included in the review, and 23 of these were further included in the meta-analysis. We found online recruitment to be significantly more effective with respect to the recruitment rate for active days of recruitment, where 100% (7/7) of the studies included had a better online recruitment rate compared with offline recruitment (incidence rate ratio [IRR] 4.17, P=.04). When examining the entire recruitment period in months we found that 52% (12/23) of the studies had a better online recruitment rate compared with the offline recruitment rate (IRR 1.11, P=.71). For cost-effectiveness, we found that online recruitment had a significantly lower cost per enrollee compared with offline recruitment (US $72 vs US $199, P=.04). Finally, we found that 69% (9/13) of studies had significantly better offline conversion rates compared with online conversion rates (risk ratio 0.8, P=.02).

Conclusions
Targeting potential participants using online remedies is an effective approach for patient recruitment for clinical research. Online recruitment was both superior in regard to time efficiency and cost-effectiveness compared with offline recruitment. In contrast, offline recruitment outperformed online recruitment with respect to conversion rate.
The Role of Social Media in Enhancing Clinical Trial Recruitment: Scoping Review
Authors: Darmawan Ida , Bakker Caitlin , Brockman Tabetha A , Patten Christi A , Eder Milton 
Published: September 2020

BackgroundRecruiting participants into clinical trials continues to be a challenge, which can result in study delay or termination. Recent studies have used social media to enhance recruitment outcomes. An assessment of the literature on the use of social media for this purpose is required.ObjectiveThis study aims to answer the following questions: (1) How is the use of social media, in combination with traditional approaches to enhance clinical trial recruitment and enrollment, represented in the literature? and (2) Do the data on recruitment and enrollment outcomes presented in the literature allow for comparison across studies?MethodsWe conducted a comprehensive literature search across 7 platforms to identify clinical trials that combined social media and traditional methods to recruit patients. Study and participant characteristics, recruitment methods, and recruitment outcomes were evaluated and compared.ResultsWe identified 2371 titles and abstracts through our systematic search. Of these, we assessed 95 full papers and determined that 33 studies met the inclusion criteria. A total of 17 studies reported enrollment outcomes, of which 9 achieved or exceeded their enrollment target. The proportion of participants enrolled from social media in these studies ranged from 0% to 49%. Across all 33 studies, the proportion of participants recruited and enrolled from social media varied greatly. A total of 9 studies reported higher enrollment rates from social media than any other methods, and 4 studies reported the lowest cost per enrolled participant from social media.ConclusionsWhile the assessment of the use of social media to improve clinical trial participation is hindered by reporting inconsistencies, preliminary data suggest that social media can increase participation and reduce per-participant cost. The adoption of consistent standards for reporting recruitment and enrollment outcomes is required to advance our understanding and use of social media to support clinical trial success.
Assessment of Myosteatosis on Computed Tomography by Automatic Generation of a Muscle Quality Map Using a Web-Based Toolkit: Feasibility Study
Authors: Kim Dong Wook , Kim Kyung Won , Ko Yousun , Park Taeyong , Khang Seungwoo , Jeong Heeryeol , Koo Kyoyeong , Lee Jeongjin , Kim Hong-Kyu , Ha Jiyeon , Sung Yu Sub , Shin Youngbin 
Published: September 2020

BackgroundMuscle quality is associated with fatty degeneration or infiltration of the muscle, which may be associated with decreased muscle function and increased disability.ObjectiveThe aim of this study is to evaluate the feasibility of automated quantitative measurements of the skeletal muscle on computed tomography (CT) images to assess normal-attenuation muscle and myosteatosis.MethodsWe developed a web-based toolkit to generate a muscle quality map by categorizing muscle components. First, automatic segmentation of the total abdominal muscle area (TAMA), visceral fat area, and subcutaneous fat area was performed using a predeveloped deep learning model on a single axial CT image at the L3 vertebral level. Second, the Hounsfield unit of each pixel in the TAMA was measured and categorized into 3 components: normal-attenuation muscle area (NAMA), low-attenuation muscle area (LAMA), and inter/intramuscular adipose tissue (IMAT) area. The myosteatosis area was derived by adding the LAMA and IMAT area. We tested the feasibility of the toolkit using randomly selected healthy participants, comprising 6 different age groups (20 to 79 years). With stratification by sex, these indices were compared between age groups using 1-way analysis of variance (ANOVA). Correlations between the myosteatosis area or muscle densities and fat areas were analyzed using Pearson correlation coefficient r.ResultsA total of 240 healthy participants (135 men and 105 women) with 40 participants per age group were included in the study. In the 1-way ANOVA, the NAMA, LAMA, and IMAT were significantly different between the age groups in both male and female participants (P≤.004), whereas the TAMA showed a significant difference only in male participants (male, P<.001; female, P=.88). The myosteatosis area had a strong negative correlation with muscle densities (r=–0.833 to –0.894), a moderate positive correlation with visceral fat areas (r=0.607 to 0.669), and a weak positive correlation with the subcutaneous fat areas (r=0.305 to 0.441).ConclusionsThe automated web-based toolkit is feasible and enables quantitative CT assessment of myosteatosis, which can be a potential quantitative biomarker for evaluating structural and functional changes brought on by aging in the skeletal muscle.
Clinical Mortality in a Large COVID-19 Cohort: Observational Study
Authors: Jarrett Mark , Schultz Susanne , Lyall Julie , Wang Jason , Stier Lori , De Geronimo Marcella , Nelson Karen 
Published: September 2020

Background
Northwell Health, an integrated health system in New York, has treated more than 15,000 inpatients with COVID-19 at the US epicenter of the SARS-CoV-2 pandemic.

Objective
We describe the demographic characteristics of patients who died of COVID-19, observation of frequent rapid response team/cardiac arrest (RRT/CA) calls for non–intensive care unit (ICU) patients, and factors that contributed to RRT/CA calls.

Methods
A team of registered nurses reviewed the medical records of inpatients who tested positive for SARS-CoV-2 via polymerase chain reaction before or on admission and who died between March 13 (first Northwell Health inpatient expiration) and April 30, 2020, at 15 Northwell Health hospitals. The findings for these patients were abstracted into a database and statistically analyzed.

Results
Of 2634 patients who died of COVID-19, 1478 (56.1%) had oxygen saturation levels ≥90% on presentation and required no respiratory support. At least one RRT/CA was called on 1112/2634 patients (42.2%) at a non-ICU level of care. Before the RRT/CA call, the most recent oxygen saturation levels for 852/1112 (76.6%) of these non-ICU patients were at least 90%. At the time the RRT/CA was called, 479/1112 patients (43.1%) had an oxygen saturation of <80%.

Conclusions
This study represents one of the largest reviewed cohorts of mortality that also captures data in nonstructured fields. Approximately 50% of deaths occurred at a non-ICU level of care despite admission to the appropriate care setting with normal staffing. The data imply a sudden, unexpected deterioration in respiratory status requiring RRT/CA in a large number of non-ICU patients. Patients admitted at a non-ICU level of care suffered rapid clinical deterioration, often with a sudden decrease in oxygen saturation. These patients could benefit from additional monitoring (eg, continuous central oxygenation saturation), although this approach warrants further study.
Development of school canteen and school gardens guidelines as prevention against cardiovascular disease
Authors: Kandarina Bernadette Josephine Istiti , Hartriyanti Yayuk , Rahayujati Theodola Baning , Kurnia Arif Rahmat 
Published: September 2020

Cardiovascular diseases are considered as the deadliest diseases in the world. According to WHO data, deaths caused by coronary heart disease in Indonesia reached 138,380 or 9.89% of the total deaths. The age adjusted mortality rate is 82.30 per 100,000 population with Indonesia ranked #97 in the world. Kulon Progo Regency is located in the western part of the Special Region of Yogyakarta. The average monthly food expenditure in Kulon Progo is Rp365,012 ($27.49). While a healthy diet is known and promoted to benefit health, only a small portion is used to buy fruits and vegetables (2.24% and 1.76%). Cardiovascular disease is the main cause of morbidity in Kulon Progo. This study aimed to examine the process of developing guidelines for healthy school canteens and school gardens and promote fruit and vegetable consumption. This study used a qualitative research design. The data were collected through in-depth interviews and focus group discussions. A preliminary survey was conducted in 10 private and public schools in Kulon Progo district, Yogyakarta Province, Indonesia. Guidelines related to healthy lifestyles through Canteen- and school garden were successfully arranged for in-school programs. Interviews and focus group discussions explored possibilities of permanently establishing the programs with local and national funding. Some disagreement was voiced concerning the loss of revenue incurred by local food vendors. Stakeholder involvement is crucially important for the preparation and development of the school canteen - and school gardens guidelines. Follow-up is recommended to carry out the dissemination of the guidebook.
Relationship between understanding of COVID-19's infographics and the efforts to prevent COVID-19 transmission
Authors: Bakhtiar Rahmat , Hilda Hilda , Duma Krispinus , Yudia Riries Choiru Pramulia 
Published: September 2020

The prevention of disease transmission is an effective cost-strategy in controlling COVID-19. The scenario of the control of COVID-19 in Samarinda City consists of 3 phases, namely initial, advanced, and recovery. The outcome of the advanced phase is flattening the transmission curve of the COVID-19 pandemic, with an increased proportion of patients in recovery, and an increased culture of preventing disease transmission in society. This study aimed at knowing the influence of the understanding of COVID-19 infographics on the efforts to prevent COVID-19 transmission at the advanced phase. A survey was conducted via social media from April 21st to April 30th, 2020. The preventive actions for the disease transmission as the dependent variable in this study were social distancing, wearing a mask, washing hands, and efforts to enhance the body’s immunity, while the independent variable was the understanding of COVID-19 infographics updated daily. The results of the study showed that the proportion of the population who understood the infographics well was 79.5%, the community participation in practicing social distancing (81.6%), wearing a mask (50.9%), washing hands as frequently as possible (74.3%), and the efforts to strengthen the body’s immune system (73.6%) with a consistency level of 55.12%. The lowest rate for the activity of social distancing was visiting elders or the people suffering from comorbidities with 54.71%. A good understanding of infographics could increase adherence to the recommendations of social distancing. The implementation of social distancing, wearing a mask, washing hands as frequently as possible, and the efforts to improve the body’s immune system need to be done consistently to prevent the COVID-19 transmission and as a result, the potential transmission could be minimized to optimize the recovery phase and anticipate the possible second wave of the COVID-19 pandemic.
Red sandstone as raw material of Baden culture (Late Copper Age) grinding stones (Balatonőszöd - Temetői dűlő site, Hungary), with a review of the red sandstone formations of SW Hungary
Authors: Péterdi Bálint 
Published: September 2020

Balatonőszöd - Temetői dűlő is one of the largest excavated and longest-lived sites of the Late Copper Age Baden Culture in Hungary, where 500 lithic finds were registered. In the site finds belonging to the late Middle Copper Age Balaton-Lasinja Culture and the Late Copper Age Boleraz Culture were found too.
This paper presents petrographic and geochemical analyses of stone utensils, mostly of grinding stones, made of red, or discoloured white sandstones.
Almost all sandstone artefacts are upper and lower stones of grinding equipment and polishers, as well as objects whose function is not known, worked and non-worked fragments; boulders of raw material are also in the studied set.
The detailed petrographic and geochemical methods applied here are polarized light microscopy and a distribution study of the framework grains in thin section, and ICP-OES and ICP-MS as bulk rock chemical methods. The results were compared to published petrographic and geochemical data.
Most of the studied artefacts were made of the rocks of the Red Sandstone and Siltstone Member of the Balaton Highland Sandstone Formation, especially from the mature type sandstone in which quartz is predominant, and which is almost free of feldspar. This type is characteristic of the confines of the Southern Balaton Highland and the lower part of the formation in the Northern Balaton Highland.
A minor part of the studied artefacts - red or purple, purplish grey sandstones - originates from the sandstones of the Jakabhegy Sandstone Formation (Western Mecsek mountains).
From near and far: Stone procurement and exchange at Çukuriçi Höyük in Western Anatolia
Authors: Schwall Christoph , Brandl Michael , Gluhak Tatjana M. , Milić Bogdana , Betina Lisa , Sørensen Lasse , Wolf Danilo , Horejs Barbara 
Published: September 2020

The focus of this paper are the stone tools of Çukuriçi Höyük, a prehistoric site situated at the central Aegean coast of Anatolia. The settlement was inhabited from the Neolithic, through the Late Chalcolithic and Early Bronze Age 1 periods, a period lasting from the early 7th to the early 3rd millennium BCE. A long-term interdisciplinary study of the excavated lithics with different scientific methods on various stone materials (thin section analysis, pXRF, NAA, LA-ICP-MS) offer new primary data about the procurement strategies of prehistoric societies from a diachronic perspective. The results will be presented for the first time with an overview of all source materials and their distinct use through time.
The lithic assemblages from Çukuriçi Höyük consist of a considerable variety of small finds, grinding stones and chipped stone tools. The high variability of raw materials within the different categories of tools is remarkable. In addition to stone tools manufactured from sources in the immediate vicinity of the settlement (i.e., mica-schist, limestone, marble, amphibolite, serpentinite), others are of rock types such as chert, which indicate an origin within the broader region. Moreover, volcanic rocks, notably the exceptionally high amount of Melian obsidian found at Çukuriçi Höyük, attest to the supra-regional procurement of distinct rock types. Small stone axes made of jadeite presumably from the Greek island of Syros, also indicate these far-reaching procurement strategies.
The systematic and diachronic analyses of the stone tools found at Çukuriçi Höyük has demonstrated that as early as the Neolithic period extensive efforts were made to supply the settlement with carefully selected raw materials or finished goods procured from distinct rock sources.
EXPLORING THE ANTIPARASITIC ACTIVITY OF MEDICINAL PLANTS
Authors: Raoof Gehan Fawzy Abdel , Mohamed Ahmed Wael Lethy 
Published: September 2020

Parasitic disease is one of the most important challenges impacting a large number of people. Worldwide, more than three billion cases of parasitic disease are reported yearly. Due to the resistance of parasite to the synthetic drugs, it is necessary to search for alternative sources. Plants contain different phytoconstituents with different biological activities. Many previous researches showed that many plants exerted antiparasitic activity due to its secondary metabolites. This review highlights the antiparasitic effects of different medicinal plants and mentions the mode of action of different phytochemicals against parasites. In conclusion, the medicinal plants play a vital role as antiparasitic agents, but further studies are needed to isolate and test the active constituents of the medicinal plants as antiparasitic agents targeting to enter the drug discoveryarea.
Peer Review History:
Received 20 July 2020; Revised 11 August; Accepted 26 August, Available online 15 September 2020
UJPR follows the most transparent and toughest ‘Advanced OPEN peer review’ system. The identity of the authors and, reviewers will be known to each other. This transparent process will help to eradicate any possible malicious/purposeful interference by any person (publishing staff, reviewer, editor, author, etc) during peer review. As a result of this unique system, all reviewers will get their due recognition and respect, once their names are published in the papers. We expect that, by publishing peer review reports with published papers, will be helpful to many authors for drafting their article according to the specifications. Auhors will remove any error of their article and they will improve their article(s) according to the previous reports displayed with published article(s). The main purpose of it is ‘to improve the quality of a candidate manuscript’. Our reviewers check the ‘strength and weakness of a manuscript honestly’. There will increase in the perfection, and transparency.
Received file

Average Peer review marks at initial stage: 5.5/10
Average Peer review marks at publication stage: 7.0/10
Reviewer(s) detail:
Name: Marwa A. A. Fayed
Affiliation: Faculty of Pharmacy, University of Sadat City, Egypt
E-mail: maafayed@gmail.com

Name: Dr. Mahmut Yıldıztekin
Affiliation: Muğla Sıtkı Koçman University, Turkey
E-mail: mahmutyildiztekin@mu.edu.tr

Comments of reviewer(s):

Similar Articles:
A STUDY ON DIFFERENT PLANTS OF APOCYNACEAE FAMILY AND THEIR MEDICINAL USES
A REVIEW ON MEDICINAL USES OF DIFFERENT PLANTS OF EUPHORBIACEAE FAMILY