bluuebunny/crossref_metadata_2025_split huggingface dataset:
Evaluating implementation of LEAPS, a youth-led early childhood care and education intervention in rural Pakistan: protocol for a stepped wedge cluster-randomized trial
Authors: Yousafzai Aisha K. , Sudfeld Christopher R. , Franchett Emily E. , Siyal Saima , Rehmani Karima , Bhamani Shelina , Dai Quanyi , Reyes Chin R. , Fink Günther , Ponguta Liliana A. 
Published: August 2021

Abstract
Background
The Sustainable Development Goals (SDGs) highlight the importance of investments in early childhood care and education (ECCE) and youth development. Given Pakistan’s large young population, and gender and urban-rural inequalities in access to education, training, and employment, such investments offer opportunities. LEAPS is a youth-led ECCE program that trains female youth, 18–24 years, as Community Youth Leaders (CYLs) to deliver high-quality ECCE for children, 3.5–5.5 years, in rural Sindh, Pakistan.

Methods
We use a stepped wedge cluster-randomized trial to evaluate implementation of LEAPS. Ninety-nine clusters will be randomized to receive the intervention in one of three 7-month steps (33 clusters/step). The primary outcome is children’s school readiness (indexed by the total score on the International Development and Early Learning Assessment (IDELA)). Secondary child outcomes are children’s IDELA domain scores and executive functions. Data are collected in cross-sectional surveys of 1089 children (11 children/cluster from 99 clusters) aged 4.5–5.5 years at four timepoints (baseline and at the end of each step). Additionally, we will enroll three non-randomized youth participant open cohorts, one per step (33 CYLs: 66 comparison youth per cohort; 99:198 in total). Youth cohorts will be assessed at enrollment and every 7 months thereafter to measure secondary outcomes of youth personal and professional development, depressive symptoms, and executive functions. A non-randomized school cohort of 330 LEAPS students (10 students/cluster from 33 clusters) will also be enrolled and assessed during Step 1 after intervention rollout and at endline. The quality of the learning environment will be assessed in each LEAPS ECCE center and in a comparison center at two timepoints midway following rollout and at endline. A concurrent mixed-methods implementation evaluation will assess program fidelity and quality, and the extent to which a technical support strategy is successful in strengthening systems for program expansion. A cost evaluation will assess cost per beneficiary. Data collection for implementation and cost evaluations will occur in Step 3.

Discussion
Youth-led models for ECCE offer a promising approach to support young children and youth. This study will contribute to the evidence as a means to promote sustainable human development across multiple SDG targets.

Trial registration
ClinicalTrials.govNCT03764436. Registered on December 5, 2018.
Statistical optimization of amorphous iron phosphate: inorganic sol–gel synthesis-sodium potential insertion
Authors: Maarouf Fz. , Saoiabi S. , Azzaoui K. , Chrika C. , Khalil H. , Elkaouni S. , Lhimr S. , Boubker O. , Hammouti B. , Jodeh S. 
Published: August 2021

AbstractIron phosphate, Fe2(HPO4)3*4H2O, is synthesized at ambient temperature, using the inorganic sol–gel method coupled to the microwave route. The experimental conditions for the gelling of Fe (III)-H3PO4system are previously defined. Potentiometric Time Titration (PTT) and Potentiometric Mass Titration (PMT) investigate the acid–base surface chemistry of obtained phosphate. Variations of surface charge with the contact time, Q a function of T, are examined for time contact varying in the range 0–72 h. The mass suspensions used for this purpose are 0.75, 1.25 and 2.5 g L−1. The point of zero charge (PZC) and isoelectric point (IEP) are defined using the derivative method examining the variations$$\frac{{{\text{dpH}}}}{{{\text{d}}t}} = f\left( {{\text{pH}}} \right)$$dpHdt=fpH, at lower contact time. A shift is observed for PZC and IEP towards low values that are found to be 2.2 ± 0.2 and 1.8 ± 0.1, respectively. In acidic conditions, the surface charge behavior of synthesized phosphate is dominated by$$\overline{{ > {\text{POH}}}}$$>POH¯group which pKa = 2.45 ± 0.15. Q against T titration method is performed for synthesized Fe2(HPO4)3*4H2O in NaCl electrolytes. The maximal surface charge (Q) is achieved at the low solid suspension. Hence, for m = 0.75 g L−1, Q value of 50 coulombs is carried at μ = 0.1 and pH around 12, while charge value around 22 coulombs is reached in the pH range: 3–10. The effect of activation time, Q and pH on sodium insertion in iron phosphate, were fully evaluated. To determine the optimal conditions of the studied process, mathematical models are used develop response surfaces in order to characterize the most significant sodium interactions according to the variation of the pH, Q, the contact time and the contents of the synthesized material.
Visuospatial alpha and gamma oscillations scale with the severity of cognitive dysfunction in patients on the Alzheimer’s disease spectrum
Authors: Wiesman Alex I. , Murman Daniel L. , May Pamela E. , Schantell Mikki , Wolfson Sara L. , Johnson Craig M. , Wilson Tony W. 
Published: August 2021

Abstract
Background
Entrainment of neural oscillations in occipital cortices by external rhythmic visual stimuli has been proposed as a novel therapy for patients with Alzheimer’s disease (AD). Despite this increased interest in visual neural oscillations in AD, little is known regarding their role in AD-related cognitive impairment and in particular during visuospatial processing.

Methods
We used source-imaged magnetoencephalography (MEG) and an established visuospatial processing task to elicit multi-spectral neuronal responses in 35 biomarker-confirmed patients on the AD spectrum and 20 biomarker-negative older adults. Neuronal oscillatory responses were imaged to the level of the cortex, and group classifications and neurocognitive relationships were modeled using logistic and linear regression, respectively.

Results
Visuospatial neuronal oscillations in the theta, alpha, and gamma ranges significantly predicted the classification of patients on the AD spectrum. Importantly, the direction of these effects differed by response frequency, such that patients on the AD spectrum exhibited weaker alpha-frequency responses in lateral occipital regions, and stronger gamma-frequency responses in the primary visual cortex, as compared to biomarker-negative older adults. In addition, alpha and gamma, but not theta, oscillations robustly predicted cognitive status (i.e., MoCA and MMSE scores), such that patients with neural responses that deviated more from those of healthy older adults exhibited poorer cognitive performance.

Conclusions
We find that the multi-spectral neural dynamics supporting visuospatial processing differentiate patients on the AD spectrum from cognitively normal, biomarker-negative older adults. Oscillations in the alpha and gamma bands also relate to cognitive status in ways that are informative for emerging clinical interventions.
DECIMER 1.0: deep learning for chemical image recognition using transformers
Authors: Rajan Kohulan , Zielesny Achim , Steinbeck Christoph 
Published: August 2021

AbstractThe amount of data available on chemical structures and their properties has increased steadily over the past decades. In particular, articles published before the mid-1990 are available only in printed or scanned form. The extraction and storage of data from those articles in a publicly accessible database are desirable, but doing this manually is a slow and error-prone process. In order to extract chemical structure depictions and convert them into a computer-readable format, Optical Chemical Structure Recognition (OCSR) tools were developed where the best performing OCSR tools are mostly rule-based. The DECIMER (Deep lEarning for Chemical ImagE Recognition) project was launched to address the OCSR problem with the latest computational intelligence methods to provide an automated open-source software solution. Various current deep learning approaches were explored to seek a best-fitting solution to the problem. In a preliminary communication, we outlined the prospect of being able to predict SMILES encodings of chemical structure depictions with about 90% accuracy using a dataset of 50–100 million molecules. In this article, the new DECIMER model is presented, a transformer-based network, which can predict SMILES with above 96% accuracy from depictions of chemical structures without stereochemical information and above 89% accuracy for depictions with stereochemical information.
Cost analysis of chronic obstructive pulmonary disease (COPD): a systematic review
Authors: Gutiérrez Villegas Celia , Paz-Zulueta María , Herrero-Montes Manuel , Parás-Bravo Paula , Madrazo Pérez María 
Published: August 2021

Abstract
Background
Chronic Obstructive Pulmonary Disease (COPD) is a treatable disease with a high prevalence, and high morbidity associated with significant socioeconomic costs.

Objective
To carry out a systematic review of the literature to analyze the main cost studies associated with COPD, in order to determine the main factors that influence the costs of the disease.

Methods
Searches were conducted in PubMed, SCOPUS and Web of Science databases for cost studies on COPD published in English, between the years 2015 and 2020. The search terms were “COPD” OR “pulmonary disease, chronic obstructive”, “cost*” OR “cost of illness”, “economic impact” AND “burden of disease”. The inclusion criteria included the identification of reported cost of the disease, economic burden, medical care expenses or use resources for COPD, the methodology used, data sources, and variables studied.

Results
18 publications were analyzed: 17 included direct health costs, 6 included direct non-medical costs, 12 analyzed indirect costs and two reported intangible costs. Most of the studies reported data for developed and European countries, with direct costs being the most studied. Trends were observed in multiple studies of direct and healthcare costs for European countries measured by patient and year, where the higher costs were associated with more severe COPD and a frequent history of exacerbations. The highest costs reported corresponded to hospitalizations and the associated pharmacological treatment. The importance of the loss of productivity and premature retirement within the profile of the COPD patient was also highlighted as the main generator of indirect costs of the disease.

Conclusion
COPD generates substantial costs for the health system, mainly related to moderate to severe stages and the exacerbations and complications entailed. It is important to strengthen health systems with monitoring, evaluation and health education models that allow these patients to remain stable to avoid decompensation and subsequent hospitalizations.
On the optimal energy efficiency and spectral efficiency trade-off of CF massive MIMO SWIPT system
Authors: Li Na , Gao Yuanyuan , Xu Kui 
Published: August 2021

AbstractEnergy efficiency is a key requirement for future network design, and user-centric (UC) cell-free (CF) massive multi-input multi-output (MIMO) networks can achieve over ten times the energy efficiency. Based on this, this paper studies a CF MIMO simultaneous wireless information and power transmission system and proposes a UC access point (AP) selection method and a trade-off performance optimization scheme for spectral efficiency and energy efficiency. In this system, users have both energy recovery and information transmission functions. According to the difference between the interference in the energy harvesting and information transmission process, a flexible AP selection scheme is designed. Blindly pursuing high spectral efficiency will result in waste of resources. This paper proposes an evaluation index that takes into account both energy efficiency and spectral efficiency, analyses the trade-off between energy efficiency and spectral efficiency, and jointly optimizes the AP selection scheme and the uplink (UL) and downlink (DL) time switching ratio to maximize the trade-off performance. Then, the non-convex problem is converted to a geometric planning problem to solve. The simulation results show that by implementing a suitable AP selection scheme and UL and DL time allocation, the information processing scheme on the AP side has a slight loss in spectral efficiency, but the energy efficiency is close to the performance of global processing on the central processing unit.
Availability and use of personal protective equipment and satisfaction of healthcare professionals during COVID-19 pandemic in Addis Ababa, Ethiopia
Authors: Deressa Wakgari , Worku Alemayehu , Abebe Workeabeba , Gizaw Muluken , Amogne Wondwossen 
Published: August 2021

Abstract
Background
Healthcare professionals (HCPs) are at the frontline in the fight against COVID-19 and are at an increased risk of becoming infected with coronavirus. Risk of infection can be minimized by use of proper personal protective equipment (PPE). The aim of this study was to assess the availability and use of PPE, and satisfaction of HCPs with PPE in six public hospitals in Addis Ababa, Ethiopia.

Methods
A cross-sectional study was conducted among 1134 HCPs in June 2020. A systematic random sampling and consecutive sampling techniques were used to select the study participants. Data were collected using a self-administered questionnaire. Descriptive statistics were used to describe the data and Chi-square test was used to assess the association between the groups. Bivariate and multivariable logistic regression models were used to assess factors associated with satisfaction of healthcare workers.

Results
The mean (±SD) age of the participants was 30.26 ± 6.43 year and 52.6% were females. Nurses constituted about 40% of the overall sample, followed by physicians (22.2%), interns (10.8%), midwives (10.3%) and others (16.7%). The majority (77%) of the HCPs reported that their hospital did not have adequate PPE. A critical shortage of N95 respirators was particularly reported, it only increased from 13 to 24% before and during COVID-19, respectively. The use of N95 increased from 9 to 21% before and during COVID-19, respectively. Almost 72% of the respondents were dissatisfied with the availability and use of PPE in their hospital. The independent predictors of the respondents’ satisfaction level about PPE were healthcare workers who reported that PPE was adequately available in the hospital (adjusted OR = 7.65, 95% CI:5.09–11.51), and preparedness to provide care to COVID-19 cases (adjusted OR = 2.07, 95% CI:1.42–3.03).

Conclusions
A critical shortage of appropriate PPE and high level of dissatisfaction with the availability and use of PPE were identified. Therefore, urgent efforts are needed to adequately supply the healthcare facilities with appropriate PPE to alleviate the challenges.
The allometry of cellular DNA and ribosomal gene content among microbes and its use for the assessment of microbiome community structure
Authors: Gonzalez-de-Salceda Luis , Garcia-Pichel Ferran 
Published: August 2021

Abstract
Background
The determination of taxon-specific composition of microbiomes by combining high-throughput sequencing of ribosomal genes with phyloinformatic analyses has become routine in microbiology and allied sciences. Systematic biases to this approach based on the demonstrable variability of ribosomal operon copy number per genome were recognized early. The more recent realization that polyploidy is probably the norm, rather than the exception, among microbes from all domains of life, points to an even larger source bias.

Results
We found that the number of 16S or 18S RNA genes per cell, a combined result of the number of RNA gene loci per genome and ploidy level, follows an allometric power law of cell volume with an exponent of 2/3 across 6 orders of magnitude in small subunit copy number per cell and 9 orders of magnitude in cell size. This stands in contrast to cell DNA content, which follows a power law with an exponent of ¾.

Conclusion
In practical terms, that relationship allows for a single, simple correction for variations in both copy number per genome and ploidy level in ribosomal gene analyses of taxa-specific abundance. In biological terms, it points to the uniqueness of ribosomal gene content among microbial properties that scale with size.
Presenteeism and work ability: development of the Persian version of the Stanford Presenteeism Scale (P-SPS-6) and measurement of its psychometric properties
Authors: Abdi Fatemeh , Jahangiri Mehdi , Kamalinia Mojtaba , Cousins Rosanna , Mokarami Hamidreza 
Published: August 2021

AbstractBackgroundPresenteeism is recognized in Iran’s hospitals, however little research has been done to understand and tackle the phenomenon because of a lack of valid tools to measure presenteeism. This study aimed to develop a Persian version of the Stanford Presenteeism Scale (SPS-6) and measure its psychometric properties. Another goal was to examine the relationship between presenteeism and work ability using a sample of 250 nurses.MethodsThe forward–backward translation process and cross-cultural adaptation of the scale were performed according to a standard method. The psychometric properties of the scale were measured using face and content validity, construct validity based on confirmatory factor analysis (CFA), and internal consistency. Work ability score (WAS) was used to assess discriminative validity and examine the relationship between presenteeism and work ability. Measures of Job Satisfaction and Emotional Exhaustion were used to assess convergent validity with the developed presenteeism scale.ResultsMean content validity index and content validity ratio were 1 and 0.93 respectively. CFA verified the two-dimensional structure of the scale. Cronbach's alpha was 0.77. There were positive relationships between P-SPS-6 and Job Satisfaction, and P-SPS-6 and WAS. There was a significant negative relationship between P-SPS-6 and Emotional Exhaustion.ConclusionOur findings suggested that the P-SPS-6 had appropriate psychometric properties for studying presenteeism in employees using the Persian language. Given the negative relationship between presenteeism and work ability and the negative consequences associated with it, it is necessary to regularly evaluate this stressor and to emphasize purposeful intervention programs to control or reduce it.
RIPK1 or RIPK3 deletion prevents progressive neuronal cell death and improves memory function after traumatic brain injury
Authors: Wehn Antonia Clarissa , Khalin Igor , Duering Marco , Hellal Farida , Culmsee Carsten , Vandenabeele Peter , Plesnila Nikolaus , Terpolilli Nicole Angela 
Published: August 2021

AbstractTraumatic brain injury (TBI) causes acute and subacute tissue damage, but is also associated with chronic inflammation and progressive loss of brain tissue months and years after the initial event. The trigger and the subsequent molecular mechanisms causing chronic brain injury after TBI are not well understood. The aim of the current study was therefore to investigate the hypothesis that necroptosis, a form a programmed cell death mediated by the interaction of Receptor Interacting Protein Kinases (RIPK) 1 and 3, is involved in this process. Neuron-specific RIPK1- or RIPK3-deficient mice and their wild-type littermates were subjected to experimental TBI by controlled cortical impact. Posttraumatic brain damage and functional outcome were assessed longitudinally by repetitive magnetic resonance imaging (MRI) and behavioral tests (beam walk, Barnes maze, and tail suspension), respectively, for up to three months after injury. Thereafter, brains were investigated by immunohistochemistry for the necroptotic marker phosphorylated mixed lineage kinase like protein(pMLKL) and activation of astrocytes and microglia. WT mice showed progressive chronic brain damage in cortex and hippocampus and increased levels of pMLKL after TBI. Chronic brain damage occurred almost exclusively in areas with iron deposits and was significantly reduced in RIPK1- or RIPK3-deficient mice by up to 80%. Neuroprotection was accompanied by a reduction of astrocyte and microglia activation and improved memory function. The data of the current study suggest that progressive chronic brain damage and cognitive decline after TBI depend on the expression of RIPK1/3 in neurons. Hence, inhibition of necroptosis signaling may represent a novel therapeutic target for the prevention of chronic post-traumatic brain damage.
Does the choice of response time threshold procedure substantially affect inferences concerning the identification and exclusion of rapid guessing responses? A meta-analysis
Authors: Rios Joseph A. , Deng Jiayi 
Published: August 2021

AbstractBackgroundIn testing contexts that are predominately concerned with power, rapid guessing (RG) has the potential to undermine the validity of inferences made from educational assessments, as such responses are unreflective of the knowledge, skills, and abilities assessed. Given this concern, practitioners/researchers have utilized a multitude of response time threshold procedures that classify RG responses in these contexts based on either the use of no empirical data (e.g., an arbitrary time limit), response time distributions, and the combination of response time and accuracy information. As there is little understanding of how these procedures compare to each other, this meta-analysis sought to investigate whether threshold typology is related to differences in descriptive, measurement property, and performance outcomes in these contexts.MethodsStudies were sampled that: (a) employed two or more response time (RT) threshold procedures to identify and exclude RG responses on the same computer-administered low-stakes power test; and (b) evaluated differences between procedures on the proportion of RG responses and responders, measurement properties, and test performance.ResultsBased on as many as 86 effect sizes, our findings indicated non-negligible differences between RT threshold procedures in the proportion of RG responses and responders. The largest differences for these outcomes were observed between procedures using no empirical data and those relying on response time and accuracy information. However, these differences were not related to variability in aggregate-level measurement properties and test performance.ConclusionsWhen filtering RG responses to improve inferences concerning item properties and group score outcomes, the actual threshold procedure chosen may be of less importance than the act of identifying such deleterious responses. However, given the conservative nature of RT thresholds that use no empirical data, practitioners may look to avoid the use of these procedures when making inferences at the individual-level, given their potential for underclassifying RG.