bluuebunny/crossref_metadata_2025_split huggingface dataset:
Psychiatric Deprescribing: A Narrative Review
Authors: Harding Shari L. , Ellis Kerri A. , Boisseau John , Petreca Victor 
Published: July 2023

OBJECTIVE: Psychiatric deprescribing is an intervention where psychiatric medications are reduced or discontinued with the goal to improve health and reduce unnecessary risks. The purpose of this study was to synthesize the literature related to psychiatric deprescribing to discuss practice and research implications. METHODS: A structured search of the literature was conducted from May to September 2022, yielding 29 articles meeting inclusion criteria. Articles were reviewed and synthesized. RESULTS: Psychiatric deprescribing is a complex process with many potential facilitators and barriers. The extant literature provides insight into current gaps in knowledge and implications for clinical practice and research. CONCLUSIONS: In current clinical practice, psychiatric deprescribing is a priority but there are significant barriers. Several areas of future research could be pursued to better support evidence-based practice in this area.
Obesity in Late-Life as a Protective Factor Against Dementia and Dementia-Related Mortality
Authors: Natale Ginny , Zhang Yun , Hanes Douglas William , Clouston Sean AP 
Published: July 2023

Objective We estimated the conversion from cognitively normal to mild cognitive impairment (MCI) to probable dementia and death for underweight, normal, overweight, and obese older adults, where the timing of examinations is associated with the severity of dementia. Methods We analyzed six waves of the National Health and Aging Trends Study (NHATS). Body mass (BMI) was computed from height and weight. Multi-state survival models (MSMs) examined misclassification probability, time-to-event ratios, and cognitive decline. Results Participants (n = 6078) were 77 years old, 62% had overweight and/or obese BMI. After adjusting for the effects of cardiometabolic factors, age, sex, and race, obesity was protective against developing dementia (aHR=.44; 95%CI [.29-.67]) and dementia-related mortality (aHR=.63; 95%CI [.42-.95]). Discussion We found a negative relationship between obesity and dementia and dementia-related mortality, a finding that has been underreported in the literature. The continuing obesity epidemic might complicate the diagnosis and treatment of dementia.
Effect of Occupation-Based Intervention Using the ADOC-H Combined With Physical Function-Based Intervention on Patients With Distal Radius Fractures: A Retrospective Case-Control Study
Authors: Kukizaki Wataru , Ohno Kanta , Maruta Michio , Shimokihara Suguru , Iida Hiroyuki , Tabira Takayuki 
Published: July 2023

Objectives Occupation-based intervention (OBI) involves daily and meaningful activities for evaluation and intervention. Recently, the “aid for decision-making in occupation choice for hand” (ADOC-H) was developed to facilitate OBI in patients with hand injuries. We aimed to examine the efficacy of OBI using the ADOC-H combined with physical function-based interventions (PBI) for patients with distal radius fractures (DRF). Material and methods Patients with DRF were retrospectively allocated to two groups, ADOC-H group ( n = 14) and PBI group ( n = 14), and compared. Results Improvements in the Pain Catastrophizing Scale magnification and Hospital Anxiety and Depression Scale and Disabilities of the Arm, Shoulder, and Hand questionnaire scores were significantly higher in the ADOC-H group than in the PBI group ( p < .05). The groups showed no differences in measure of physical function, such as range of motion and grip strength. Conclusion OBI using the ADOC-H combined with PBI is clinically useful for patients with DRF as it promotes use of the injured hand for daily activities in a step-by-step approach, improving psychological difficulties in using the hand.
Influence of prestressing force on performance of concrete plates under impact loading
Authors: Kumar Vimal , Iqbal MA , Mittal AK 
Published: July 2023

An experimental and numerical study has been performed to explore the performance of one-way pretensioned concrete plates against impact loading. The impact resistance, experimental results and damage within the pretensioned concrete have been compared with the non-pretensioned concrete. The plate specimens of concrete grades M40 and M60 have been pretensioned to prestress level 10 and 20% of the compressive strength of the concrete. While, all the tendons employed in the non-pretensioned concrete were kept unstressed. The plates were struck at the mid-span by a steel mass (242.85 kg) dropped from 0.5 to 1.0 m heights. The numerical simulations have been executed using explicit finite element code considering the Holmquist–Johnson–Cook (HJC) and the metal plasticity model for concrete and steel, correspondingly. The performance of the plates is governed by the grade of concrete, impact energy and level of the prestress within the concrete. The induced prestress within the concrete enhanced the stiffness and, consequently, the impact resistance of the pretensioned concrete plates. The pretensioned concrete hence witnessed increased impact force and reduced deflection by 18.1% and 11.0%, correspondingly, compared to the non-pretensioned concrete. The splitting and punching crack within the plates became pronounced once the drop height increased from 0.5 m to 1.0 m. The simulations have estimated the peak impact force and reaction within 19.7% and 15.5% deviation, respectively. The displacement and energy absorption have been calculated using an analytical methodology closely correlated with the actual results within 18% and 14% deviation, respectively. Further, the simulations performed on two-way pretensioned concrete have shown improved performance of the plates witnessing no splitting crack and uniform crack distribution compared to one-way pretensioned concrete.
A Brief Measure of Fidelity for Mindfulness Programs: Development and Evaluation of the Concise Fidelity for Mindfulness-Based Interventions Tool
Authors: Greco Carol M. , Dore Graham A. , Weinberg Janice M. , Roth Isabel , Thomas Holly N. , Lawrence Suzanne , Rodriguez Ruth , McGillis Megan , Morone Natalia E. 
Published: July 2023

Background Mindfulness research and clinical programs are widespread, and it is important that mindfulness-based interventions are delivered with fidelity, or as intended, across settings. The MBI:TAC is a comprehensive system for assessing teacher competence, yet it can be complex to implement. A standardized, simple fidelity/engagement tool to address treatment delivery is needed. Objective We describe the development, evaluation, and outcomes of a brief, practical tool for assessing fidelity and engagement in online mindfulness-based programs. The tool contains questions about session elements such as meditation guidance and group discussion, and questions about participant engagement and technology-based barriers to engagement. Methods The fidelity rating tool was developed and tested in OPTIMUM, Optimizing Pain Treatment in Medical settings Using Mindfulness. The OPTIMUM study is a 3-site pragmatic randomized trial of group medical visits and adapted mindfulness-based stress reduction for primary care patients with chronic low back pain, delivered online. Two trained study personnel independently rated 26 recorded OPTIMUM sessions to determine inter-rater reliability of the Concise Fidelity for Mindfulness-Based Interventions (CoFi-MBI) tool. Trained raters also completed the CoFi-MBI for 105 sessions. Raters provided qualitative data via optional open text fields within the tool. Results Inter-rater agreement was 77-100% for presence of key session components, and 69-88% for Likert ratings of participant engagement and challenges related to technology, with discrepancies only occurring within 2 categories: ‘very much’ and ‘quite a bit’. Key session components occurred as intended in 94-100% of the 105 sessions, and participant engagement was rated as ‘very much’ or ‘quite a bit’ in 95% of the sessions. Qualitative analysis of rater comments revealed themes related to engagement challenges and technology failures. Conclusion The CoFi-MBI provides a practical way to assess basic adherence to online delivery of mindfulness session elements, participant engagement, and extent of technology obstacles. Optional text can guide strategies to improve engagement and reduce technology barriers.
Development of a rapid and specific MALDI-TOF mass spectrometric assay for SARS-CoV-2 detection
Authors: Kollhoff Lydia , Kipping Marc , Rauh Manfred , Ceglarek Uta , Barka Günes , Barka Frederik , Sinz Andrea 
Published: July 2023

Abstract
We have developed a rapid and highly specific assay for detecting and monitoring SARS-CoV-2 infections by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF-MS). As MALDI-TOF mass spectrometers are available in a clinical setting, our assay has the potential to serve as alternative to the commonly used reverse transcriptase quantitative polymerase chain reaction (RT-qPCR). Sample preparation prior to MALDI-TOF-MS involves the tryptic digestion of SARS-CoV-2 proteins, followed by an enrichment of virus-specific peptides from SARS-CoV-2 nucleoprotein via magnetic antibody beads. Our MALDI-TOF-MS method allows the detection of SARS-CoV-2 nucleoprotein in sample collection medium as low as 8 amol/µl. MALDI-TOF mass spectra are obtained in just a few seconds, which makes our MS-based assay suitable for a high-throughput screening of SARS-CoV-2 in healthcare facilities in addition to PCR. Due to the specific detection of virus peptides, different SARS-CoV-2 variants are readily distinguished from each other. Specifically, we show that our MALDI-TOF-MS assay discriminates SARS-CoV-2 strain B.1.617.2 “delta variant” from all other variants in patients’ samples, making our method highly valuable to monitor the emergence of new virus variants.

Graphical Abstract
A preliminary analysis of the effectiveness of online practical laboratory delivery using 3D models for higher education courses in biological anthropology
Authors: Ward Stacey M. , Balolia Katharine L. , Wilson Laura A. B. 
Published: July 2023

AbstractPractical-based laboratory instruction represents a substantial component of education in biological anthropology, a multidisciplinary field concerned with investigating human evolution, biology, and behaviour from an evolutionary perspective. The efficacy of online practical laboratory classes using 3D models as part of the mode of delivery, as compared to traditional face-to-face learning, is poorly understood in the field of biological anthropology despite an increased uptake of online learning and the potential benefits of embracing this delivery modality. We present the preliminary findings of an ongoing study exploring the effectiveness of online practical training using 3D resources in biological anthropology. Through a participant survey of undergraduate and postgraduate osteology and palaeoanthropology students (n = 27) from an Australian university, we assess (1) whether differences in teaching modality impact student comprehension of practical concepts and (2) whether student perceptions of learning vary between in-person and online teaching modalities. Our results show that there are no significant differences in test of knowledge scores between online and in-person in either biological anthropology sub-discipline. However, in-person students experienced an increased feeling of learning relative to the online students in our combined discipline and osteology-only cohorts. Feeling of learning scores were statistically significantly lower among the online osteology cohort relative to palaeoanthropology students. Our preliminary results suggest that online labs using 3D models may be an effective means of teaching practical skills in biological anthropology, although student perceptions of learning may be negatively impacted. Feelings of learning are also variable across sub-disciplines, suggesting a need for more nuanced investigations into the efficacy of online learning. Larger sample sizes are required to confirm these findings.
Deep ensemble approach for pathogen classification in large-scale images using patch-based training and hyper-parameter optimization
Authors: Ahmad Fareed , Khan Muhammad Usman Ghani , Tahir Ahsen , Masud Farhan 
Published: July 2023

AbstractPathogenic bacteria present a major threat to human health, causing various infections and illnesses, and in some cases, even death. The accurate identification of these bacteria is crucial, but it can be challenging due to the similarities between different species and genera. This is where automated classification using convolutional neural network (CNN) models can help, as it can provide more accurate, authentic, and standardized results.In this study, we aimed to create a larger and balanced dataset by image patching and applied different variations of CNN models, including training from scratch, fine-tuning, and weight adjustment, and data augmentation through random rotation, reflection, and translation. The results showed that the best results were achieved through augmentation and fine-tuning of deep models. We also modified existing architectures, such as InceptionV3 and MobileNetV2, to better capture complex features. The robustness of the proposed ensemble model was evaluated using two data splits (7:2:1 and 6:2:2) to see how performance changed as the training data was increased from 10 to 20%. In both cases, the model exhibited exceptional performance. For the 7:2:1 split, the model achieved an accuracy of 99.91%, F-Score of 98.95%, precision of 98.98%, recall of 98.96%, and MCC of 98.92%. For the 6:2:2 split, the model yielded an accuracy of 99.94%, F-Score of 99.28%, precision of 99.31%, recall of 98.96%, and MCC of 99.26%. This demonstrates that automatic classification using the ensemble model can be a valuable tool for diagnostic staff and microbiologists in accurately identifying pathogenic bacteria, which in turn can help control epidemics and minimize their social and economic impact.
Factors contributing to mitogenome size variation and a recurrent intracellular DNA transfer in Melastoma
Authors: Zhou Shuaixi , Zhi Xueke , Yu Runxian , Liu Ying , Zhou Renchao 
Published: July 2023

AbstractBackgroundMitogenome sizes of seed plants vary substantially even among closely related species, which are often related to horizontal or intracellular DNA transfer (HDT or IDT) events. However, the mechanisms of this size variation have not been well characterized.ResultsHere we assembled and characterized the mitogenomes of three species ofMelastoma, a tropical shrub genus experiencing rapid speciation. The mitogenomes ofM. candidum(Mc),M. sanguineum(Ms) andM. dodecandrum(Md) were assembled to a circular mapping chromosome of 391,595 bp, 395,542 bp and 412,026 bp, respectively. While the mitogenomes of Mc and Ms showed good collinearity except for a large inversion of ~ 150 kb, there were many rearrangements in the mitogenomes between Md and either Mc or Ms. Most non-alignable sequences (> 80%) between Mc and Ms are from gain or loss of mitochondrial sequences. Whereas, between Md and either Mc or Ms, non-alignable sequences in Md are mainly chloroplast derived sequences (> 30%) and from putative horizontal DNA transfers (> 30%), and those in both Mc and Ms are from gain or loss of mitochondrial sequences (> 80%). We also identified a recurrent IDT event in another congeneric species,M. penicillatum, which has not been fixed as it is only found in one of the three examined populations.ConclusionsBy characterizing mitochondrial genome sequences ofMelastoma, our study not only helps understand mitogenome size evolution in closely related species, but also cautions different evolutionary histories of mitochondrial regions due to potential recurrent IDT events in some populations or species.
Identification of cuproptosis-related molecular subtypes as a biomarker for differentiating active from latent tuberculosis in children
Authors: Chen Liang , Hua Jie , He Xiaopu 
Published: July 2023

Abstract
Background
Cell death plays a crucial role in the progression of active tuberculosis (ATB) from latent infection (LTBI). Cuproptosis, a novel programmed cell death, has been reported to be associated with the pathology of various diseases. We aimed to identify cuproptosis-related molecular subtypes as biomarkers for distinguishing ATB from LTBI in pediatric patients.

Method
The expression profiles of cuproptosis regulators and immune characteristics in pediatric patients with ATB and LTBI were analyzed based on GSE39939 downloaded from the Gene Expression Omnibus. From the 52 ATB samples, we investigated the molecular subtypes based on differentially expressed cuproptosis-related genes (DE-CRGs) via consensus clustering and related immune cell infiltration. Subtype-specific differentially expressed genes (DEGs) were found using the weighted gene co-expression network analysis. The optimum machine model was then determined by comparing the performance of the eXtreme Gradient Boost (XGB), the random forest model (RF), the general linear model (GLM), and the support vector machine model (SVM). Nomogram and test datasets (GSE39940) were used to verify the prediction accuracy.

Results
Nine DE-CRGs (NFE2L2, NLRP3, FDX1, LIPT1, PDHB, MTF1, GLS, DBT, and DLST) associated with active immune responses were ascertained between ATB and LTBI patients. Two cuproptosis-related molecular subtypes were defined in ATB pediatrics. Single sample gene set enrichment analysis suggested that compared with Subtype 2, Subtype 1 was characterized by decreased lymphocytes and increased inflammatory activation. Gene set variation analysis showed that cluster-specific DEGs in Subtype 1 were closely associated with immune and inflammation responses and energy and amino acids metabolism. The SVM model exhibited the best discriminative performance with a higher area under the curve (AUC = 0.983) and relatively lower root mean square and residual error. A final 5-gene-based (MAN1C1, DKFZP434N035, SIRT4, BPGM, and APBA2) SVM model was created, demonstrating satisfactory performance in the test datasets (AUC = 0.905). The decision curve analysis and nomogram calibration curve also revealed the accuracy of differentiating ATB from LTBI in children.

Conclusion
Our study suggested that cuproptosis might be associated with the immunopathology of Mycobacterium tuberculosis infection in children. Additionally, we built a satisfactory prediction model to assess the cuproptosis subtype risk in ATB, which can be used as a reliable biomarker for the distinguishment between pediatric ATB and LTBI.
Lipid goal attainment in diabetes mellitus patients after acute coronary syndrome: a subanalysis of Dyslipidemia International Study II-China
Authors: Guo Tongshuai , Chu Chao , Wang Yang , He Mingjun , Jia Hao , Sun Yue , Wang Dan , Liu Yan , Huo Yong , Mu Jianjun 
Published: July 2023

Abstract
Background
Lipid management with a low-density lipoprotein cholesterol (LDL-C) goal of < 1.4 mmol/L is recommended for patients with acute coronary syndrome (ACS) and diabetes mellitus (DM) due to a high risk for adverse cardiovascular events. This study evaluated the lipid-lowering treatment (LLT) pattern and the LDL-C goal attainment rate in this special population.

Methods
DM patients were screened from the observational Dyslipidemia International Study II-China study which assessed LDL-C goal attainment in Chinese ACS patients. The baseline characteristics between the LLT and no pre-LLT groups were compared. The proportions of patients obtaining LDL-C goal at admission and at 6-months, the difference from the goal, and the pattern of the LLT regimen were analyzed.

Results
Totally 252 eligible patients were included, with 28.6% taking LLT at admission. Patients in the LLT group were older, had a lower percentage of myocardial infarction, and had decreased levels of LDL-C and total cholesterol compared to those in the no pre-LLT group at baseline. The overall LDL-C goal attainment rate was 7.5% at admission and increased to 30.2% at 6 months. The mean difference between the actual LDL-C value and LDL-C goal value dropped from 1.27 mmol/L at baseline to 0.80 mmol/L at 6 months. At 6 months, 91.4% of the patients received statin monotherapy, and only 6.9% received a combination of statin and ezetimibe. The atorvastatin-equivalent daily statin dosage was moderate during the study period.

Conclusion
The low rate of lipid goal attainment observed was in line with the outcomes of other DYSIS-China studies.
COVID-19 pandemic has disrupted the continuity of care for chronic patients: evidence from a cross-sectional retrospective study in a developing country
Authors: Dehghani Tafti Abbasali , Fatehpanah Azadeh , Salmani Ibrahim , Bahrami Mohammad Amin , Tavangar Hossien , Fallahzadeh Hossien , Tehrani Ali Ahmadi , Bahariniya Sajjad , Tehrani Gholamreza Ahmadi 
Published: July 2023

Abstract
Background
Any disruption in continuity of care for patients with chronic conditions can lead to poor outcomes for the patients as well as great damage for the community and the health system. This study aims to determine the continuity of care for patients with chronic conditions such as hypertension and diabetes during COVID-19 pandemic.

Methods
Through a cross-sectional retrospective study, data registered in six health centers in Yazd, Iran were analyzed. Data included the number of patients with chronic conditions (hypertension and diabetes) and average daily admission during a year before COVID-19 pandemic and the similar period after COVID-19 outbreak. The experience of continuity of care was assessed applying a validated questionnaire from a sample of 198 patients. Data analysis was done using SPSS version 25. Descriptive statistics, independent T-Test and Multivariable regression were used for analysis.

Findings
Results indicate that both visit load of the patients with chronic conditions (hypertension and diabetes) and their average daily admission were decreased significantly during a year after COVID-19 pandemic compared to the similar period before COVID-19 outbreak. The moderate average score of the patients` experience towards continuity of care during the pandemic was also reported. Regression analysis showed that age for the diabetes patients and insurance status for the hypertension patients affect the COC mean scores.

Conclusion
COVID-19 pandemic causes serious decline in the continuity of care for patients with chronic conditions. Such a deterioration not only can lead to make these patients` condition worse in a long-term period but also it can make irreparable damages to the whole community and the health system. To make the health systems resilient particularly in disasters, serious attention should be taken into consideration among them, developing the tele-health technologies, improving the primary health care capacity, designing the applied responsive models of continuity of care, making multilateral participations and inter-sectoral collaborations, allocating sustainable resources, and enabling the patients with selfcare skills are more highlighted.