bluuebunny/crossref_metadata_2025_split huggingface dataset:
Moderation of treatment effects by parent-adolescent conflict in a randomised controlled trial of Attachment-Based Family Therapy for adolescent depression
Authors: Rognli Erling W. , Waraan Luxsiya , Czajkowski Nikolai O. , Aalberg Marianne 
Published: October 2020

Abstract

Background:
Conflict with parents is frequent in adolescent depression, and has been shown to predict poor treatment outcomes. Attachment Based Family Therapy (ABFT) is a manualised treatment for adolescent depression that may be robust to parent-adolescent conflict.

Objective:
To evaluate the hypothesis that parent-adolescent conflict moderates the outcome of Attachment-Based Family Therapy compared with treatment as usual.

Methods:
Data were obtained from a randomised trial comparing 16 weeks of ABFT to treatment as usual, in Norwegian Child and Adolescent Mental Health Services. Sixty adolescents with moderate to severe depression and their parents were recruited. Change in Grid-Hamilton Depression Rating Scale scores from baseline to week 16 was modelled using linear mixed models, and a three-way interaction of time, treatment allocation and a continuous measure of parent-adolescent conflict was fitted to estimate a moderator effect. The moderator model was compared to simpler models using leave-one-out cross-validation.

Results:
Better outcomes were predicted for Attachment-Based Family Therapy at high levels of mother-adolescent conflict, and for treatment as usual at low levels of mother-adolescent conflict, giving preliminary support to the moderator hypothesis. Findings for father-adolescent conflict were mixed. Cross-validation did not clearly support the moderator model over a simple effect of time, indicating that the replicability of these findings is uncertain.

Conclusion:
The results suggest that parent-adolescent conflict should be further studied as a moderator of outcome in Attachment-Based Family Therapy. The trial did not meet its recruitment target and had high attrition, limiting the conclusions that may be drawn.
Does Antarctic Oscillation have links and influence precipitation over the Uruguay River Drainage Basin in Southeastern South America?
Authors: Oliva Fábio Guimarães , Justi da Silva Maria Gertrudes A. 
Published: October 2020

AbstractThis article examines the links and the influence of Antarctic Oscillation (AAO) on precipitation over the Uruguay River Drainage Basin and adjacent regions, situated in Southeastern South America. In this article, we used monthly data of AAO Index obtained from the Climate Prediction Center/National Centers for Environmental Prediction (CPC/NCEP); monthly data of 500 hPa vertical motion through omega variable (ω = Dp/Dt) and converted to vertical velocity (cm/s) from the NCEP/NCAR Reanalysis; monthly data of precipitation from the NCEP Reanalysis 2 and monthly data of precipitation rate from the CPC Merged Analysis of Precipitation (CMAP) with a latitude × longitude spatial resolution of 2.5° × 2.5°. All data are monthly means and were obtained from January 1979 to December 2008. The methodological procedures used Grid Analysis and Display System (GrADS) software to generate composites of vertical motion and precipitation rates. In the case of CMAP precipitation data, the methodology consists of applying the Aspin Welch statistical test, which verifies the statistical significance of the difference between two means using a significance level of 5%. The study region indicates a tendency to present higher (lower) mean rates of precipitation during the AAO negative (positive) phase. The vertical motion analysis results corroborate with the precipitation rates since the higher vertical motions were found during the negative phase of AAO. The statistical test showed, to some areas of Uruguay River Drainage Basin and adjacent regions, statistically significant differences between mean rates of precipitation observed in both phases of AAO.
Pushing the limits of solids retention time for enhanced biological phosphorus removal: process characteristics and Accumulibacter population structure
Authors: Roots Paul , Rosenthal Alex , Wang Yubo , Sabba Fabrizio , Jia Zhen , Yang Fenghua , Zhang Heng , Kozak Joseph , Wells George 
Published: October 2020

Abstract
Reducing the solids retention time (SRT) of the enhanced biological phosphorus removal (EBPR) process can increase organic carbon diversion to the sidestream for energy recovery, thereby realizing some of the benefits of the high rate activated sludge (HRAS) process. Determining the washout (i.e. minimum) SRT of polyphosphate accumulating organisms (PAOs), therefore, allows for simultaneous phosphorus and carbon diversion for energy recovery from EBPR systems. However, few studies have investigated the washout SRT of PAOs in real wastewater, and little is known of the diversity of PAOs in high rate EBPR systems. Here we demonstrate efficient phosphorus removal (83% orthophosphate removal) in a high rate EBPR sequencing batch reactor fed real primary effluent and operated at 20 °C. Stable operation was achieved at a total SRT of 1.8 ± 0.2 days and hydraulic retention time of 3.7–4.8 hours. 16S rRNA gene sequencing data demonstrated that Accumulibacter were the dominant PAO throughout the study, with a washout aerobic SRT between 0.8 and 1.4 days. qPCR targeting the polyphosphate kinase gene revealed that Accumulibacter clades IIA, IIB and IID dominated the PAO community at low SRT operation, while clade IA was washed out at the lowest SRT values.
Clinical Outcomes and Safety of Patients Treated with NAb-Paclitaxel Plus Gemcitabine in Metastatic Pancreatic Cancer: The NAPA Study
Authors: Catalano Martina , Roviello Giandomenico , Conca Raffaele , D’Angelo Alberto , Palmieri Valeria Emma , Panella Benedetta , Petrioli Roberto , Ianza Anna , Nobili Stefania , Mini Enrico , Ramello Monica 
Published: October 2020

Background:
The phase III MPACT trial demonstrated the superiority of gemcitabine
(Gem) combined with Nab-paclitaxel (Nab-P) versus gemcitabine alone in previously untreated patients
with metastatic pancreatic ductal adenocarcinoma (PDAC). The purpose of this study was to

Methods:
From January 2015 to December 2018, patients with metastatic PDAC receiving firstline
treatment with a combination of gemcitabine and Nab-paclitaxel were included in a multicentre
retrospective observational study. Exploratory analyses of efficacy, and prognostic and predictive
markers, were performed.

Results:
The cohort comprised 115 patients (median age 65 [range 50-84] years) with good performance
status (ECOG PS 0-1). The median overall survival (OS) was 11 months (95% CI; 9-13)
and the median progression-free survival (PFS) was 6 months (95% CI 5-7). Partial response and
stable disease were achieved in 44 and 30 patients, respectively, yielding an overall disease control
rate (DCR) of 64.3%. Grade 3-4 hematological toxicity frequency was 22.61% for neutropenia,
5.22% for anemia, and 3.48% for thrombocytopenia. Grade 3 asthenia was recorded in 2.61% of patients.
No grade 4 non-hematological events were reported. Dose reduction was necessary in 51.3%
of the patients.

Conclusions:
Our results confirm the efficacy and safety of a first-line regimen comprising gemcitabine
and Nab-paclitaxel in metastatic PDAC in a real-life population.
Factors Associated with Self-Reported Drug Allergies in a Large Chronic Spontaneous Urticaria Cohort
Authors: Rauscher Christine , Petrov Andrej A. , Fajt Merritt L. 
Published: October 2020

Rationale:
Chronic spontaneous urticaria (CSU) is characterized by recurrent hives
without a known trigger. While certain drugs are associated with urticaria exacerbations, the overall
drug allergy incidence in CSU is unknown. We hypothesized that the incidence of drug allergy
in CSU would be greater than the general population and that there would be distinguishing clinical
features of drug-allergic CSU patients.

Methods:
362 adult CSU patients seen over a 10-year period at a University Allergy/Asthma clinic
were identified. Patients reported no drug allergies or any drug allergy. Multiple drug allergies
were defined as allergies to ≥ 2 chemically unrelated drugs. Using Chi-square or Wilcoxon analysis,
we compared demographic features of CSU with and without drug allergy and with multiple
vs. single drug allergy.

Results and Discussion:
Overall, 202 CSU patients (56%) reported drug allergy. Drug allergic
CSU patients were older, with a greater proportion of whites and higher BMI vs. CSU without drug
allergy (p=0.002, p=0.047, p=0.004, respectively). Penicillin was the most common drug allergy,
with urticaria the most frequently reported reaction. Female sex, white race, older age at the visit,
and co-existing asthma were more common in multiple drug allergy (n=115) vs. single drug allergy
(p=0.002, p=0.02, p=0.03, p=0.0002, respectively).

Conclusion:
In CSU, the prevalence of self-reported drug allergies was higher than the general population.
Drug allergy is associated with older age, white race and higher BMI, while multiple drug
allergy was also associated with asthma. These CSU sub-populations should be studied to avoid
the potential for morbidity associated with less efficacious and more costly drugs.
Preparation, Characterization and In Vitro Biological Evaluation of Novel Curcumin Derivatives as Cytotoxic and Apoptosis-Inducing Agents
Authors: Arjomandi Omid K. , Almasi Saiedeh , Hosseinzadeh Leila , Kavoosi Mahboubeh , Adibi Hadi 
Published: October 2020

Background:
Curcumin is a natural polyphenol and lead compound of the rhizomes of curcuma longa that it has been widely
used for pharmacological activities.

Objective:
In this study, series of novel derivatives of curcumin, which this group was linked to a 2-amino-4-phenylpyran-3-carbonitrile
system, have been synthesized and tested for their antitumor activities in-vitro against a panel of three human cancer cell lines (MCF-7,
A2780, and U-87MG).

Method:
The in-vitro cytotoxic activity of the synthesized compounds was tested on three cancer cell lines (MCF-7, A2780, and U87MG) using MTT colorimetric assay. Meanwhile, the ability of the active compounds to induce apoptosis in cancer cells was
investigated by examination of caspase-3 and caspase-9 and mitochondrial membrane potential assay.

Results:
Under relatively mild conditions in ethanol, the reaction of a series of substrates afforded the corresponding
derivatives of curcumin mostly in good yields (13 analogues, 48-94% yields). Bioassay results indicated
that compounds L6 (para-Bromo), L9 (para-Nitro) and L12 (meta-Methoxy) were the most active members
in this study demonstrating potent activities against A2780 cancer cells and experimental results of fluorescent
staining and flow cytometry analysis revealed that L6 and L9 could induce apoptosis in A2780 cells with
apoptosis ratios of about 40% and 46%, respectively at 24h of treatment at 15.35μM and 23μM in A2780 cells.
On the other hand, they could increase the caspase-3 activity slightly (10%), while having no significant impact
on the activities of caspase-9.

Conclusion:
Those two derivatives could be considered as useful templates for future development to obtain more potent antitumor
agents.
Vitamin B12 Deficiency Among the Healthy Jordanian Adult Population: Diagnostic Levels, Symptomology and Risk Factors
Authors: Abu-Shanab Amer , Zihlif Malek , Rbeihat Momen N. , Shkoukani Zakaria W. , Khamis Alia , Isleem Ula , Dardas Latefa A. 
Published: October 2020

Objective:
To explore (a) the risk factors associated with a deficiency of vitamin B12, and (b) the baseline (cutoff)
serum level of vitamin B12 for a clinically-symptomatic deficiency in the Jordanian adult population.

Background:
Compared to the data available for developed countries, there is a marked scarcity of information on the levels
and symptomology of vitamin B12 deficiency in developing countries, particularly in the Middle Eastern region.

Methods:
A total of 485 subjects were included in this study. Blood samples were drawn for biochemical analysis and data
regarding socio-demographics, general health, anthropometric measures, and past medical, surgical, and medication history
were collected. To explore the cut-off point, we compared all parameters included in a standard complete blood count as
well as main symptoms reported to be associated with B12 deficiency between groups of different B12 cut-off values, consisting
of those above and below 200, 175, 150 and 125 pg/ml.

Results:
Dietary habits, age, recurrent headaches, heart burn and peptic ulcer disease were found to be significantly associated
with lower vitamin B12 levels. Surprisingly, daily smoking was associated with significantly higher B12 levels. The results
revealed that none of the included potential indicators of B12 deficiency could be considered an indicative feature of deficiency.
There were no significant differences neither in the symptoms nor in the CBC parameters between any of the tested
study groups.

Conclusion:
Low dietary intake, older ages, recurrent headaches, heartburn and peptic ulcer disease, all could be considered
as a risk factors of having low vitamin B12 levels within the Jordanians. Also, they tend to have lower levels of vitamin B12
levels, in comparison to countries in the West, without necessarily having deficiency symptoms. Cut-off value to diagnose
functional B12 deficiency could be less than 125 pg/ml for the Jordanians. More local studies are needed to establish an accurate
vitamin B12 cut-off value for the population in Jordan.
Progression in Biometric Recognition Systems and its Security
Authors: Thanki Rohit , Annavarapu Ambika , Borra Surekha 
Published: October 2020

:
The security of information is the major problem faced in today’s digital environment. Biometric Systems helps in achieving high–end security at precise performance requirements for various applications. This paper surveys the present multimodal and unimodal biometric based authentication systems which are in use, and their future possibilities. The authentication techniques that can identify the individual using unique features of the human such as face, fingerprint, DNA, speech and iris are discussed. Different recognition systems for new biometric traits such as voice, gait, and lip moment are also focused. This paper also focuses on information security of biometric systems and their performance requirements.
Remaining Useful Life Prediction of Lithium-ion Batteries Using Multiple
Kernel Extreme Learning Machine
Authors: Liu Renxiong 
Published: October 2020

Objective:
Lithium-ion batteries are important components used in electric automobiles (EVs), fuel cell EVs
and other hybrid EVs. Therefore, it is greatly important to discover its remaining useful life (RUL).

Methods:
In this paper, a battery RUL prediction approach using multiple kernel extreme learning machine (MKELM) is
presented. The MKELM’s kernel keeps diversified by consisting multiple kernel functions including Gaussian kernel
function, Polynomial kernel function and Sigmoid kernel function, and every kernel function’s weight and parameter are
optimized through differential evolution (DE) algorithm.

Results :
Battery capacity data measured from NASA Ames Prognostics Center are used to demonstrate the prediction
procedure of the proposed approach, and the MKELM is compared with other commonly used prediction methods in
terms of absolute error, relative accuracy and mean square error.

Conclusion:
The prediction results prove that the MKELM approach can accurately predict the battery RUL.
Furthermore, a compare experiment is executed to validate that the MKELM method is better than other prediction
methods in terms of prediction accuracy.
The effect of e-wom and brand image towards Sushi Masa consumer purchasing decision
Authors: Kamil Nur Aiman Ikhwan , Albert Albert 
Published: October 2020

This digital age, people are using digital technology to facilitate all kinds of activities. Sushi Masa Jakarta, uses Zomato as one of their media as an E-WOM facility for consumers to express their feelings. In addition, the Authentic Sushi Image cannot be separated from Sushi Masa. The purpose of this study is to find out whether there is effects of E-WOM and Authentic Brand Image towards consumer purchasing decisions, partially and simultaneously. The theory used is Stimulus Response, supported by other marketing communication concepts. The method used is quantitative based on positive paradigm, considers the social reality can be proven scientifically. Data collection used were questionnaires with Likert scale. The results found the effect of E-WOM and Brand Image together towards consumer purchasing decisions by 62.9%. The author suggest that Sushi Masa can maintain E-WOM and Brand Image that has been built so that consumers continue to making purchasing decisions.
Machine Learning–Based Screening of Healthy Meals From Image Analysis: System Development and Pilot Study
Authors: Sudo Kyoko , Murasaki Kazuhiko , Kinebuchi Tetsuya , Kimura Shigeko , Waki Kayo 
Published: October 2020

BackgroundRecent research has led to the development of many information technology–supported systems for health care control, including systems estimating nutrition from images of meals. Systems that capture data about eating and exercise are useful for people with diabetes as well as for people who are simply on a diet. Continuous monitoring is key to effective dietary control, requiring systems that are simple to use and motivate users to pay attention to their meals. Unfortunately, most current systems are complex or fail to motivate. Such systems require some manual inputs such as selection of an icon or image, or by inputting the category of the user’s food. The nutrition information fed back to users is not especially helpful, as only the estimated detailed nutritional values contained in the meal are typically provided.ObjectiveIn this paper, we introduce healthiness of meals as a more useful and meaningful general standard, and present a novel algorithm that can estimate healthiness from meal images without requiring manual inputs.MethodsWe propose a system that estimates meal healthiness using a deep neural network that extracts features and a ranking network that learns the relationship between the degrees of healthiness of a meal using a dataset prepared by a human dietary expert. First, we examined whether a registered dietitian can judge the healthiness of meals solely by viewing meal images using a small dataset (100 meals). We then generated ranking data based on comparisons of sets of meal images (850 meals) by a registered dietitian’s viewing meal images and trained a ranking network. Finally, we estimated each meal’s healthiness score to detect unhealthy meals.ResultsThe ranking estimated by the proposed network and the ranking of healthiness based on the dietitian’s judgment were correlated (correlation coefficient 0.72). In addition, extracting network features through pretraining with a publicly available large meal dataset enabled overcoming the limited availability of specific healthiness data.ConclusionsWe have presented an image-based system that can rank meals in terms of the overall healthiness of the dishes constituting the meal. The ranking obtained by the proposed method showed a good correlation to nutritional value–based ranking by a dietitian. We then proposed a network that allows conditions that are important for judging the meal image, extracting features that eliminate background information and are independent of location. Under these conditions, the experimental results showed that our network achieves higher accuracy of healthiness ranking estimation than the conventional image ranking method. The results of this experiment in detecting unhealthy meals suggest that our system can be used to assist health care workers in establishing meal plans for patients with diabetes who need advice in choosing healthy meals.
Health Perceptions and Misconceptions Regarding COVID-19 in China: Online Survey Study
Authors: Zhou Jiawei , Ghose Bishwajit , Wang Ruoxi , Wu Ruijun , Li Zhifei , Huang Rui , Feng Da , Feng Zhanchun , Tang Shangfeng 
Published: October 2020

Background
Great efforts have been made to prevent the spread of COVID-19, including national initiatives to promote the change of personal behaviors. The lessons learned from the 2003 SARS outbreak indicate that knowledge and attitudes about infectious diseases are related to panic among the population, which may further complicate efforts to prevent the spread of infectious diseases. Misunderstandings may result in behaviors such as underestimation, panic, and taking ineffective measures to avoid infection; these behaviors are likely to cause the epidemic to spread further.

Objective
The purpose of this study is to assess public health perceptions and misunderstandings about COVID-19 in China, and to propose targeted response measures based on the findings to control the development of the epidemic.

Methods
The study was conducted in April 2020 through an online survey, with participants in 8 provinces in Eastern, Central, and Western China. We designed a questionnaire with a health knowledge section consisting of 5 questions (4 conventional questions and 1 misleading question) on clinical features of and preventive measures against COVID-19. Descriptive statistics, chi-square analysis, binary logistic regression, and Mantel-Haenszel hierarchical analysis were used for statistical analysis.

Results
In total, 4788 participants completed the survey and the mean knowledge score was 4.63 (SD 0.67), gained mainly through experts (76.1%), television (60.0%), newspapers (57.9%), and opinions (46.6%) and videos (42.9%) from social media. Compared to those who obtained information from only 1 or 2 channels, people who obtained information from >3 channels had increased health perception and a better ability to identify misleading information. Suggestions from experts were the most positive information source (χ2=41.61), while information on social media was the most misleading. Those aged >60 years (OR 1.52, 95% CI 1.10-2.11), those with a lower or middle income (OR 1.36, 95% CI 1.00-1.83), those not working and not able to work (OR 1.83, 95% CI 1.04-3.21), those with a household income <100,000 RMB (<US $14,954; OR 1.34, 95% CI 1.08-1.67), and those with >2 suspected symptoms (OR 2.95, 95% CI 1.50-5.80) were more likely to be misled by videos on social media, but the error correction effect of expert advice was limited in these groups.

Conclusions
Multiple information channels can improve public health perception and the identification of misleading information during the COVID-19 pandemic. Videos on social media increased the risk of rumor propagation among vulnerable groups. We suggest the government should strengthen social media regulation and increase experts’ influence on the targeted vulnerable populations to reduce the risk of rumors spreading.