bluuebunny/crossref_metadata_2025_split huggingface dataset:
Persistent depression in pregnant refugee and migrant women living along the Thai-Myanmar Border: a secondary qualitative analysis.
Authors: Ashley-Norman Tabitha , Fellmeth Gracia , Brummaier Tobias , Nosten Suphak , Oo May May , Phichitpadungtham Yuwapha , Wai Kerry , Khirikoekkong Napat , Plugge Emma , McGready Rose 
Published: September 2022

Background Antepartum depression affects around 15% of pregnant women worldwide, and may negatively impact their infants' physical, cognitive and social development, and confer a greater risk of emotional dysregulation in their children. Risk factors for antepartum depression disproportionately affect women from resource-sparse settings. In particular, pregnant refugee and migrant women face many barriers to diagnosis and care of mental health conditions, yet this group is under-represented in the literature. This study explores what refugee and migrant women living along the Thai-Myanmar border perceive as being contributory and protective factors to their antepartum depression, through secondary qualitative analysis of responses to clinical interviews for depression. Methods Previous research investigating perinatal depression in pregnant refugee and migrant women on the Thai-Myanmar border involved assessing 568 women for depression, using the Structured Clinical Interview for the diagnosis of DSM-IV Disorders (SCID). This study analyses a subsample of 32 women, diagnosed with persistent depression during the antepartum period. Thematic analysis of responses to the SCID and social and demographic surveys was undertaken to investigate factors which contribute towards, or protect against, persistent antepartum depression. Results Major themes which women described as contributing towards persistent antepartum depression were financial problems, interpersonal violence, substance misuse among partners, social problems and poor health. Factors women considered as protecting mental wellbeing included social support, accessible healthcare and distractions, highlighting the need for focus on these elements within refugee and migrant settings. Commonly expressed phrases in local Karen and Burmese languages were summarised. Conclusions Knowledge of factors affecting mental wellbeing in the study population and how these are phrased, may equip stakeholders to better support women in the study area. This study highlighted the limitations of contextually generic diagnostic tools, and recommends the development of tools better suited to marginalised and non-English speaking groups.
Learning Outside the Classroom During a Pandemic: Evidence from an Artificial Intelligence-Based Education App
Authors: Ko Ga Young , Shin Donghyuk , Auh Seigyoung , Lee Yeonjung , Han Sang Pil 
Published: September 2022

Drawing on the notion of compensatory behavior, this paper studies how students compensate for learning loss during a pandemic and what role artificial intelligence (AI) plays in this regard. We further probe into a difference in compensatory behavior for learning loss in terms of quantity, pattern, and pace (i.e., tripartite aspect of learning behavior) of AI-powered learning app usage depending on the level of pandemic threat and the proximity of a goal to students. Results show that the pandemic threat affects student learning behavior differently. Immediately following the COVID-19 outbreak, students who live in the epicenter of the outbreak (versus those who do not) use the app less at first, but with time, they use it more (quantity), on a more regular basis (pattern), and rebound to a curriculum path (pace) comparable to students who do not live in the outbreak’s epicenter. These findings collectively explain behavior that is consistent with compensation for learning loss. The results also partially corroborate the goal-proximity effect, revealing that proximity to a goal (e.g., the degree to which the national university admission exam is approaching) has a moderating role in explaining the tripartite perspective of student learning behavior. Overall, these findings have important theoretical and practical implications for understanding how innovative education technologies can not only facilitate student learning during adversity, but also support learning recovery after adversity. This paper was accepted by D. J. Wu, information systems. Supplemental Material: Data files available at https://doi.org/10.1287/mnsc.2022.4531 .
Acceptability measures of water, sanitation and hygiene interventions in low- and middle-income countries, a systematic review
Authors: Hosking Rose , O’Connor Suji Y , Wangdi Kinley , Kurscheid Johanna , Lal Aparna 
Published: September 2022

BackgroundInadequate access to water, sanitation, and hygiene (WASH) is an environmental risk factor for poor health outcomes globally, particularly for children in low- and middle-income countries (LMIC). Despite technological advancements, many interventions aimed at improving WASH access return less than optimal results on long term impact, efficacy and sustainability. Research focus in the ‘WASH sector’ has recently expanded from investigating ‘which interventions work’ to ‘how they are best implemented’. The ‘acceptability’ of an intervention is a key component of implementation that can influence initial uptake and sustained use. Acceptability assessments are increasingly common for health interventions in clinical settings. A broad scale assessment of how acceptability has been measured in the WASH sector, however, has not yet been conducted.Methods/Principal findingsWe conducted a systematic literature review of intervention studies published between 1990 and 2021 that evaluated the acceptability of WASH interventions in LMIC settings. Using an implementation science approach, focused outcomes included how acceptability was measured and defined, and the timing of acceptability assessment. We conducted quality assessment for all included studies using the Cochrane Risk of Bias tool for randomised studies, and the Newcastle-Ottawa Scale for non-randomised studies.Of the 1238 records; 36 studies were included for the analysis, 22 of which were non-randomized interventions and 16 randomized or cluster-randomized trials. We found that among the 36 studies, four explicitly defined their acceptability measure, and six used a behavioural framework to inform their acceptability study design. There were few acceptability evaluations in schools and healthcare facilities. While all studies reported measuring WASH acceptability, the measures were often not comparable or described.ConclusionsAs focus in WASH research shifts towards implementation, a consistent approach to including, defining, and measuring acceptability is needed.
Health-seeking behaviour, referral patterns and associated factors among patients with autoimmune rheumatic diseases in Ghana: A cross-sectional mixed method study
Authors: Amissah-Arthur Maame-Boatemaa , Gyaban-Mensah Anna , Boima Vincent , Yorke Ernest , Dey Dzifa , Ganu Vincent , Mate-Kole Charles 
Published: September 2022

BackgroundChallenges exist in the diagnosis and management of autoimmune rheumatic diseases in low and middle income countries due to factors, such as poverty and under-resourced healthcare infrastructure. Furthermore, other contributory factors such as societal, cultural and religious practices influence health seeking behaviour which has a bearing on access and delivery of healthcare.ObjectivesTo examine the health seeking behaviour and referral patterns of Ghanaian patients with autoimmune rheumatic diseases and assess the associated factors that influence these.MethodA cross-sectional study using an explanatory sequential mixed method design was carried out in a Rheumatology clinic at a national referral centre. 110 participants were purposively recruited for the quantitative phase. The qualitative phase comprised 10 participants for in-depth interviews and 10 participants for a focus group discussion. Analysis using descriptive statistics, t-tests and logistic regression models were performed. Transcripts generated from the interviews and focused group discussion were analysed using thematic analysis.ResultsMedian duration from onset of symptoms until seeking help was 1 week (IQR = 12); from seeking help until obtaining a final diagnosis was 12 months (IQR = 33). Multiple factors determined the choice of first facility visited, X2(12, N = 107) = 32.29, p = .001. Only twenty-one participants (19.6%) had knowledge of their disease prior to diagnosis. Education predicted prior knowledge [OR = 2.6 (95% CI = .66–10.12), p < .021]. Unemployed participants had increased odds of seeking help after a month compared to those who were employed [Odds ratio = 2.60 (95% CI = 1.14–5.90), p = .02]. Knowledge of autoimmune rheumatic diseases was low with multiple causative factors such as biomedical, environmental and spiritual causes determining where patients accessed care. Forty (36.4%) participants utilised complementary and alternative treatment options.ConclusionWe observed that knowledge about autoimmune rheumatic diseases among Ghanaian patients was low. Patients sought help from numerous medical facilities, traditional healers and prayer camps often contributing to a delay in diagnosis for most patients. This was influenced by individual perceptions, cultural beliefs and socioeconomic status. Active awareness and educational programmes for the public and healthcare workers are required, as well as strategic planning to integrate the biomedical and traditional care services to enable earlier presentation, accurate diagnosis and better clinical outcomes for the patients.
Use of common blood parameters for the differential diagnosis of childhood infections
Authors: Wang Weiying , Li Shu Hua 
Published: September 2022

Background
Routine laboratory investigations are not rapidly available to assist clinicians in the diagnosis of pediatric acute infections. Our objective was to evaluate some common blood parameters and use them for the differential diagnosis of childhood infections.

Methods
This retrospective study was conducted between October 2019 and September 2020 at Guangzhou Women and Children’s Medical Center, China. We performed blood tests in patients infected with DNA viruses (n = 402), RNA viruses (n = 602), gram-positive organisms (G+; n = 421), gram-negative organisms (G−; n = 613), or Mycoplasma pneumoniae (n = 387), as well as in children without infection (n = 277). The diagnostic utility of blood parameters to diagnose various infections was evaluated by logistic regression analysis.

Results
The most common G+ organism, G− organism, and virus were Streptococcus pneumoniae (39.7%), Salmonella typhimurium (18.9%), and influenza A virus (40.2%), respectively. The value of logit (P) = 0.003 × C-reactive protein (CRP) − 0.011 × hemoglobin (HGB) + 0.001 × platelets (PLT) was significantly different between the control, RNA virus, DNA virus, M. pneumoniae, G− organism, and G+ organism groups (2.46 [95% CI, 2.41–2.52], 2.60 [2.58–2.62], 2.70 [2.67–2.72], 2.78 [2.76–2.81], 2.88 [2.85–2.91], and 2.97 [2.93–3.00], respectively; p = 0.00 for all). The logistic regression‐based model showed significantly greater accuracy than the best single discriminatory marker for each group (logit [Pinfection] vs. CRP, 0.90 vs. 0.84, respectively; logit [PRNA] vs. lymphocytes, 0.83 vs. 0.77, respectively; p = 0.00). The area under curve values were 0.72 (0.70–0.74) for HGB and 0.81 (0.79–0.82) for logit (Pvirus/bacteria) to diagnose bacterial infections, whereas they were 0.72 (0.68–0.74) for eosinophils and 0.80 (0.78–0.82) for logit (Pvirus/bacteria) to diagnose viral infections. Logit (Pvirus/bacteria) < −0.45 discriminated bacterial from viral infection with 78.9% specificity and 70.7% sensitivity.

Conclusions
The combination of CRP, HGB, PLT, eosinophil, monocyte, and lymphocyte counts can distinguish between the infectious pathogens in children.
Diminishing clinical impact for post-approval cancer clinical trials: A retrospective cohort study
Authors: Ouimet Charlotte , Bouche Gauthier , Kimmelman Jonathan 
Published: September 2022

Background
Once a drug gets FDA approved, researchers often attempt to discover new applications in different indications. The clinical impact of such post-approval activities is uncertain. We aimed to compare the clinical impact of research efforts started after approval with those started before for cancer drugs.

Methods
We used Drugs@FDA to perform a retrospective cohort study of secondary approvals for cancer drugs that were initially FDA approved between 2005 and 2017. Clinicaltrials.gov was used to identify the beginning of each research trajectory that resulted in a secondary FDA approval. Each trajectory was classified as pre- or post-approval depending on if it was initiated before or after initial drug licensure. Clinical impact was assessed by comparing secondary approvals and NCCN off-label recommendations deriving from pre- vs. post-approval trajectories, pooled effect sizes, incidence, and level of evidence.

Results
We identified 77 broad secondary approvals, 60 of which had at least 6 years follow-up. Of these, 9 (15%) resulted from post-approval trajectories, a proportion that is significantly lower than would be expected if the timing of research didn’t impact approval (McNemar’s test p = 0.001). Compared to pre-approval trajectories, approvals resulting from post-approval trajectories were for cancers with lower mean incidence (6.11 vs 14.83, p = 0.006) and were based on pivotal trials with smaller pooled effect sizes (0.69 vs 0.57, p = 0.02) that were less likely to be randomized (38.5% vs 64.1%, p = 0.145). We identified 69 NCCN off-label recommendations. The proportion stemming from post-approval trajectories was similar to that for pre-approval (56.5% vs. 43.5%). However, recommendations from post-approval trajectories were significantly more likely to involve rare diseases (76.7% vs 51.4%, p = 0.019) and nonsignificantly less likely to be based on level 1 evidence (11.6% vs 22.9%, p = 0.309).

Conclusion
Secondary FDA approvals are less likely to result from post-approval trajectories and tend to be less impactful compared to approvals originating from research started before first FDA licensure. However, post-approval trajectories may be as likely to lead to NCCN recommendations for off-label use. Limitations of this work include our use of indirect measures of impact and limited follow-up time for trajectories. Our study protocol was pre-registered (https://osf.io/5g3jw/).
Defining explicit definitions of potentially inappropriate prescriptions for antidiabetic drugs in patients with type 2 diabetes: A systematic review
Authors: Gerard Erwin , Quindroit Paul , Lemaitre Madleen , Robert Laurine , Gautier Sophie , Decaudin Bertrand , Vambergue Anne , Beuscart Jean-Baptiste 
Published: September 2022

Introduction
Potentially inappropriate prescriptions (PIPs) of antidiabetic drugs (ADs) (PIPADs) to patients with type 2 diabetes mellitus (T2DM) have been reported in some studies. The detection of PIPs in electronic databases requires the development of explicit definitions. This approach is widely used in geriatrics but has not been extended to PIPADs in diabetes mellitus. The objective of the present literature review was to identify all explicit definitions of PIPADs in patients with T2DM.

Materials and methods
We performed a systematic review of the literature listed on Medline (via PubMed), Scopus, Web of Science, and, Embase between 2010 and 2021. The query included a combination of three concepts ("T2DM" AND "PIPs" AND "ADs") and featured a total of 86 keywords. Two independent reviewers selected publications, extracted explicit definitions of PIPADs, and then classified the definitions by therapeutic class and organ class.

Results
Of the 4,093 screened publications, 39 were included. In all, 171 mentions of PIPADs (corresponding to 56 unique explicit definitions) were identified. More than 50% of the definitions were related to either metformin (34%) or sulfonylureas (29%). More than 75% of the definitions were related to either abnormal renal function (56%) or age (22%). In addition, 20% (n = 35) mentions stated that biguanides were inappropriate in patients with renal dysfunction and 17.5% (n = 30) stated that sulfonylureas were inappropriate above a certain age. The definitions of PIPADs were heterogeneous and had various degrees of precision.

Conclusion
Our results showed that researchers focused primarily on the at-risk situations related to biguanide prescriptions in patients with renal dysfunction and the prescription of sulfonylureas to older people. Our systematic review of the literature revealed a lack of consensus on explicit definitions of PIPADs, which were heterogeneous and limited (in most cases) to a small number of drugs and clinical situations.
The Effect of Intangible Asset Value, Sustainable Growth Rate, Return on Equity, and Dividend Payout Ratio on Company Market Value
Authors: Zaymin Haidarullah , Berakon Izra 
Published: September 2022

Purpose: This study aims to examine and analyze the effect of intangible asset value, sustainable growth rate, return on equity, and dividend payout ratio on the company's market value with firm age, firm size, and industry classification as control variables.
Methodology: The research sample this time is 20 manufacturing companies. The method used in this study is panel data regression with model feasibility testing, this study uses the Fixed Effect Model as the best model in the study.
Findings: The test results before and after using the control variables found that the variable value of intangible assets and dividend payout ratio had a significant positive effect on the market value of the company. Meanwhile, the variables of sustainable growth rate and return on equity do not affect the company's market value both before and after using the control variable.
Novelty: This study continues previous research by using a different population, adding independent and control variables and using the manufacturing sector.
The Structure of Common Sense and Its Relation to Engagement and Social Change – A Pragmatist Account
Authors: Prodanović Srđan 
Published: September 2022

AbstractThere are three approaches one can take toward the epistemic value of common sense. The pessimists will argue that common sense, due to its intrinsic tendency to reproduce prejudice and ideology, should somehow be displaced. Conversely, the optimist will maintain that common sense is a valuable type of knowledge because it prevents us from overlooking evident practical problems. This article aims to show that (a) neither of these two widespread accounts can explain why public invocation of common sense is, in fact, a reliable indicator that the reproduction of norms and rules of a given society is in crisis, and is therefore essentially a call for social engagement. And, more importantly, that (b) only the third, pragmatist approach to common sense can provide insight into its structure. This more diversified and interdisciplinary view can, in turn, shed new light on the relation between everyday knowledge and social theory.
The Importance of Semantic Network Brain Regions in Integrating Prior Knowledge with an Ongoing Dialogue
Authors: Raykov Petar P. , Keidel James L. , Oakhill Jane , Bird Chris M. 
Published: September 2022

AbstractTo understand a dialogue, we need to know the topics that are being discussed. This enables us to integrate our knowledge of what was said previously to interpret the current dialogue. This study involved a large-scale behavioral experiment conducted online and a separate fMRI experiment, both testing human participants. In both, we selectively manipulated knowledge about the narrative content of dialogues presented in short videos. The clips were scenes from situation comedies that were split into two parts. The speech in the part 1 clips could either be presented normally or spectrally rotated to render it unintelligible. The part 2 clips that concluded the scenes were always presented normally. The behavioral experiment showed that knowledge of the preceding narrative boosted memory for the part 2 clips as well as increased the intersubject semantic similarity of recalled descriptions of the dialogues. The fMRI experiment replicated the finding that prior knowledge improved memory for the conclusions of the dialogues. Furthermore, prior knowledge strengthened temporal intersubject correlations in brain regions including the left angular gyrus and inferior frontal gyrus. Together, these findings show that (1) prior knowledge constrains the interpretation of a dialogue to be more similar across individuals; and (2), consistent with this, the activation of brain regions involved in semantic control processing is also more similar between individuals who share the same prior knowledge. Processing in these regions likely supports the activation and integration of prior knowledge, which helps people to better understand and remember dialogues as they unfold.
Natural Contrast Statistics Facilitate Human Face Categorization
Authors: Liu-Shuang Joan , Yang Yu-Fang , Rossion Bruno , Goffaux Valérie 
Published: September 2022

AbstractThe ability to detect faces in the environment is of utmost ecological importance for human social adaptation. While face categorization is efficient, fast and robust to sensory degradation, it is massively impaired when the facial stimulus does not match the natural contrast statistics of this visual category, i.e., the typically experienced ordered alternation of relatively darker and lighter regions of the face. To clarify this phenomenon, we characterized the contribution of natural contrast statistics to face categorization. Specifically, 31 human adults viewed various natural images of nonface categories at a rate of 12 Hz, with highly variable images of faces occurring every eight stimuli (1.5 Hz). As in previous studies, neural responses at 1.5 Hz as measured with high-density electroencephalography (EEG) provided an objective neural index of face categorization. Here, when face images were shown in their naturally experienced contrast statistics, the 1.5-Hz face categorization response emerged over occipito-temporal electrodes at very low contrast [5.1%, or 0.009 root-mean-square (RMS) contrast], quickly reaching optimal amplitude at 22.6% of contrast (i.e., RMS contrast of 0.041). Despite contrast negation preserving an image’s spectral and geometrical properties, negative contrast images required twice as much contrast to trigger a face categorization response, and three times as much to reach optimum. These observations characterize how the internally stored natural contrast statistics of the face category facilitate visual processing for the sake of fast and efficient face categorization.