bluuebunny/crossref_metadata_2025_split huggingface dataset:
Dynamically adjusted strategy in response to developments in the COVID-19 pandemic as a new normal
Authors: Shen Weifeng 
Published: August 2021

AbstractPresently, the developments of COVID-19 situation in different countries and regions have clearly differentiated. Due to differences in resources, infrastructure, and awareness of epidemic prevention and control, capabilities for COVID-19 prevention and control in various regions have also shown a significant imbalance as the COVID-19 epidemic is entering a new normal. The objectives of this study are to provide dynamically adjusted strategies in response to developments in the COVID-19 pandemic as a new normal. In the face of the new normal, one key is normalizing epidemic prevention and control. As part of this, we should implement precise policies based on the dynamics of the COVID-19 epidemic and particular response needs. In ongoing COVID-19 prevention and control, we must pay attention to new vulnerabilities and new features in the dynamics of the epidemic. In this study, health and government officials can benefit from insights of preparing ourselves for long-term challenges and both certainties and uncertainties in a future facing COVID-19.
Characterization of an ETV6-NTRK3 rearrangement with unusual, but highly significant FISH signal pattern in a secretory carcinoma of the salivary gland: a case report
Authors: Wagner Florian , Greim Ralf , Krebs Kathrin , Luebben Finn , Dimmler Arno 
Published: August 2021

Abstract
Background
Fusions of neurotrophic tropomyosin receptor kinase genes NTRK1, NTRK2 and NTRK3 with various partner genes occur in both common and rare tumours and are of paramount predictive value due to the availability of very effective pan-Trk inhibitors like Larotrectinib and Entrectinib. Detection of NTRK fusions is mainly performed by fluorescence in situ hybridization (FISH) and next generation sequencing (NGS). The case described here showed a very unusual, but highly significant FISH signal pattern with an NTRK3 break apart probe, indicative of a functional NTRK3 rearrangement.

Case presentation
We describe here the case of a male patient who was originally diagnosed with an adenocarcinoma of the parotid gland without evidence of metastases. After the development of multiple lung metastases, an extensive immunohistochemical and molecular examination of archived tumour tissue including analysis of NTRK was performed. NTRK expression was detected by immunohistochemistry (IHC) and then comprehensively analysed further by FISH, quantitative reverse transcription PCR (RT-qPCR), and NGS. NTRK3 break apart FISH showed multiple and very faint single 3′ signals in addition to fusion signals. Quantitative reverse transcription PCR and NGS confirmed an ETV6:exon5-NTRK3:exon15 fusion. Diagnosis was therefore revised to metastatic secretory carcinoma of the salivary gland, and the patient subsequently treated with Larotrectinib, resulting in persisting partial remission.

Conclusions
Our findings underline the importance to be aware of non-canonical signal patterns during FISH analysis for detection of NTRK rearrangements. Very faint single 3′ signals can indicate a functional NTRK rearrangement and therefore be of high predictive value.
FDG-PET/CT versus bone marrow biopsy in bone marrow involvement in newly diagnosed paediatric lymphoma: a systematic review and meta-analysis
Authors: Li Zhizhuo , Li Chengxin , Chen Bingrong , Shi Lijun , Gao Fuqiang , Wang Peixu , Sun Wei 
Published: August 2021

Abstract
Background
Bone marrow infiltration (BMI) is a devastating stage of paediatric lymphoma. Prompt diagnosis of BMI in newly diagnosed paediatric lymphoma patients is critical but can be very challenging at present.

Methods
We systematically retrieved studies from PubMed, EMBASE, and the Cochrane Library. Data extraction and quality assessment were performed by two reviewers independently. A total of nine eligible studies were included in the quantitative analysis.

Results
The pooled sensitivity and specificity of FDG-PET/CT for diagnosing BMI in newly diagnosed paediatric lymphoma patients were 0.97 (95% confidence interval [CI], 0.93 to 0.99) and 0.99 (95% CI, 0.98 to 0.99), respectively. The pooled PLR, NLR, and DOR were 79.9 (95% CI, 42.7 to 149.6), 0.03 (95% CI, 0.01 to 0.17), and 2414.6 (95% CI, 989.6 to 5891.4), respectively. The AUC of FDG-PET/CT for BMI was 1.00 (95% CI, 0.99 to 1.00). Compared with FDG-PET/CT, BMB had a lower pooled sensitivity (0.44, 95% CI, 0.34 to 0.55) and comparable pooled specificity (1.00, 95% CI, 0.92 to 1.00).

Conclusion
Compared with BMB, FDG-PET/CT was a more valuable diagnostic method for evaluating BMI in paediatric Hodgkin and non-Hodgkin lymphoma patients with extremely high diagnostic accuracy.
Treatment-induced arteriolar revascularization and miR-126 enhancement in bone marrow niche protect leukemic stem cells in AML
Authors: Zhang Bin , Nguyen Le Xuan Truong , Zhao Dandan , Frankhouser David E. , Wang Huafeng , Hoang Dinh Hoa , Qiao Junjing , Abundis Christina , Brehove Matthew , Su Yu-Lin , Feng Yuxin , Stein Anthony , Ghoda Lucy , Dorrance Adrianne , Perrotti Danilo , Chen Zhen , Han Anjia , Pichiorri Flavia , Jin Jie , Jovanovic-Talisman Tijana , Caligiuri Michael A. , Kuo Calvin J. , Yoshimura Akihiko , Li Ling , Rockne Russell C. , Kortylewski Marcin , Zheng Yi , Carlesso Nadia , Kuo Ya-Huei , Marcucci Guido 
Published: August 2021

Abstract
Background
During acute myeloid leukemia (AML) growth, the bone marrow (BM) niche acquires significant vascular changes that can be offset by therapeutic blast cytoreduction. The molecular mechanisms of this vascular plasticity remain to be fully elucidated. Herein, we report on the changes that occur in the vascular compartment of the FLT3-ITD+ AML BM niche pre and post treatment and their impact on leukemic stem cells (LSCs).

Methods
BM vasculature was evaluated in FLT3-ITD+ AML models (MllPTD/WT/Flt3ITD/ITD mouse and patient-derived xenograft) by 3D confocal imaging of long bones, calvarium vascular permeability assays, and flow cytometry analysis. Cytokine levels were measured by Luminex assay and miR-126 levels evaluated by Q-RT-PCR and miRNA staining. Wild-type (wt) and MllPTD/WT/Flt3ITD/ITD mice with endothelial cell (EC) miR-126 knockout or overexpression served as controls. The impact of treatment-induced BM vascular changes on LSC activity was evaluated by secondary transplantation of BM cells after administration of tyrosine kinase inhibitors (TKIs) to MllPTD/WT/Flt3ITD/ITD mice with/without either EC miR-126 KO or co-treatment with tumor necrosis factor alpha (TNFα) or anti-miR-126 miRisten.

Results
In the normal BM niche, CD31+Sca-1high ECs lining arterioles have miR-126 levels higher than CD31+Sca-1low ECs lining sinusoids. We noted that during FLT3-ITD+ AML growth, the BM niche lost arterioles and gained sinusoids. These changes were mediated by TNFα, a cytokine produced by AML blasts, which induced EC miR-126 downregulation and caused depletion of CD31+Sca-1high ECs and gain in CD31+Sca-1low ECs. Loss of miR-126high ECs led to a decreased EC miR-126 supply to LSCs, which then entered the cell cycle and promoted leukemia growth. Accordingly, antileukemic treatment with TKI decreased the BM blast-produced TNFα and increased miR-126high ECs and the EC miR-126 supply to LSCs. High miR-126 levels safeguarded LSCs, as shown by more severe disease in secondary transplanted mice. Conversely, EC miR-126 deprivation via genetic or pharmacological EC miR-126 knock-down prevented treatment-induced BM miR-126high EC expansion and in turn LSC protection.

Conclusions
Treatment-induced CD31+Sca-1high EC re-vascularization of the leukemic BM niche may represent a LSC extrinsic mechanism of treatment resistance that can be overcome with therapeutic EC miR-126 deprivation.

Graphic abstract
Characterizing alternative and emerging tobacco product transition of use behavior on Twitter
Authors: Bardier Cortni , Yang Joshua S. , Li Jiawei , Mackey Tim K. 
Published: August 2021

Abstract
Objective
The objective of this study was to develop an inductive coding approach specific to characterizing user-generated social media conversations about transition of use of different tobacco and alternative and emerging tobacco products (ATPs).

Results
A total of 40,206 tweets were collected from the Twitter public API stream that were geocoded from 2018 to 2019. Using data mining approaches, these tweets were then filtered for keywords associated with tobacco and ATP use behavior. This resulted in a subset of 5718 tweets, with 657 manually annotated and identified as associated with user-generated conversations about tobacco and ATP use behavior. The 657 tweets were coded into 9 parent codes: inquiry, interaction, observation, opinion, promote, reply, share knowledge, use characteristics, and transition of use behavior. The highest number of observations occurred under transition of use (43.38%, n = 285), followed by current use (39.27%, n = 258), opinions about use (0.07%, n = 46), and product promotion (0.06%, n = 37). Other codes had less than ten tweets that discussed these themes. Results provide early insights into how social media users discuss topics related to transition of use and their experiences with different and emerging tobacco product use behavior.
Using point-of-care diagnostic testing for improved antibiotic prescription: an economic model
Authors: Antoñanzas F. , Juárez-Castelló C. A. , Rodríguez-Ibeas R. 
Published: August 2021

Abstract
Background
Antibiotics have been overprescribed to treat infectious diseases and have generated antimicrobial resistances that reduce their effectiveness. Following the rationale behind the new paradigm of personalized medicine, point-of-care diagnostic testing (POCT) has been proposed to improve the quality of antibiotic prescription with the aim of reducing antimicrobial resistances.

Methods
In order to understand whether this recommendation is valid, we create a theoretical economic model to determine under which conditions the expected benefits of using POCT to guide antibiotic prescription are greater than for empiric prescription, where we define the expected benefits as the difference between the economic value of health and the costs of the treatment. We consider the interaction of a group of physicians who express differing levels of uncertainty when prescribing with a firm selling a diagnostic device, and analyse the firm’s pricing policy and the physicians’ prescribing decisions. We allow the physicians to internalize the external costs of antimicrobial resistances.

Results
We find that the use of POCT reduces the number of antibiotic prescriptions. The reduction in antibiotic prescriptions is higher when physicians internalise the costs of antimicrobial resistances. Physicians with relatively high levels of uncertainty use POCT as they are uncertain about the right treatment for a large proportion of patients. Physicians with low levels of uncertainty prefer to prescribe empirically. The segmentation in the population of physicians regarding the uptake of POCT depends on the distribution of levels of uncertainty across physicians. For each test, the firm charges the marginal production costs of the inputs needed to administer the test, and makes its profit from the sales of the testing devices.

Conclusions
From a theoretical perspective, our findings corroborate the fact that POCT improve the quality of antibiotic prescription and reduce the number of prescriptions. Nevertheless, their use is not always recommended as empiric therapy may be preferred when uncertainty is low.
A novel machine learning-based approach for the computational functional assessment of pharmacogenomic variants
Authors: Pandi Maria-Theodora , Koromina Maria , Tsafaridis Iordanis , Patsilinakos Sotirios , Christoforou Evangelos , van der Spek Peter J. , Patrinos George P. 
Published: August 2021

AbstractBackgroundThe field of pharmacogenomics focuses on the way a person’s genome affects his or her response to a certain dose of a specified medication. The main aim is to utilize this information to guide and personalize the treatment in a way that maximizes the clinical benefits and minimizes the risks for the patients, thus fulfilling the promises of personalized medicine. Technological advances in genome sequencing, combined with the development of improved computational methods for the efficient analysis of the huge amount of generated data, have allowed the fast and inexpensive sequencing of a patient’s genome, hence rendering its incorporation into clinical routine practice a realistic possibility.MethodsThis study exploited thoroughly characterized in functional level SNVs within genes involved in drug metabolism and transport, to train a classifier that would categorize novel variants according to their expected effect on protein functionality. This categorization is based on the available in silico prediction and/or conservation scores, which are selected with the use of recursive feature elimination process. Toward this end, information regarding 190 pharmacovariants was leveraged, alongside with 4 machine learning algorithms, namely AdaBoost, XGBoost, multinomial logistic regression, and random forest, of which the performance was assessed through 5-fold cross validation.ResultsAll models achieved similar performance toward making informed conclusions, with RF model achieving the highest accuracy (85%, 95% CI: 0.79, 0.90), as well as improved overall performance (precision 85%, sensitivity 84%, specificity 94%) and being used for subsequent analyses. When applied on real world WGS data, the selected RF model identified 2 missense variants, expected to lead to decreased function proteins and 1 to increased. As expected, a greater number of variants were highlighted when the approach was used on NGS data derived from targeted resequencing of coding regions. Specifically, 71 variants (out of 156 with sufficient annotation information) were classified as to “Decreased function,” 41 variants as “No” function proteins, and 1 variant in “Increased function.”ConclusionOverall, the proposed RF-based classification model holds promise to lead to an extremely useful variant prioritization and act as a scoring tool with interesting clinical applications in the fields of pharmacogenomics and personalized medicine.
Strategic actions of urban development to define the intervention policies of slums
Authors: Ragheb Amany , El-Ashmawy Rasha 
Published: August 2021

AbstractThe problem of slums is one of the most imperative problems experienced by many developing countries as well as some developed countries. The random gatherings shape real disruption in the economic and social development plans of the concerned countries. The importance of the research lies in conducting a field study for Ezbet El-Shahatin area in Mansoura city, given that it is the largest unplanned informal area in Dakahlia Governorate in terms of area. Geographic information systems were used to make enter data to form a coordinated database. In addition, policy intervention matrix in slums was used to make the appropriate decision regarding the development of the area. The study concludes to specifying several recommendations to deal with slums and set a model for integrated urban development in low-income areas that can be repeated in other similar locations.
Interaction between phloretin and insulin: a spectroscopic study
Authors: Yanti Sahri , Wu Zhong-Wen , Agrawal Dinesh Chandra , Chien Wei-Jyun 
Published: August 2021

AbstractDiabetes is among the top ten deadly diseases in the world. It occurs either when the pancreas does not produce enough insulin (INS) or when the body cannot effectively use the insulin it produces. Phloretin (PHL) has a biological effect that can treat diabetes. A spectroscopic study was carried out to explore the interaction between phloretin and insulin. UV/Vis spectroscopy, fluorescence spectroscopy, and circular dichroism spectropolarimeter were used in the study. UV/Vis spectra showed that the interaction between PHL and INS produced strong absorption at a wavelength of 282 nm. The fluorescence analysis results showed that the excitation and emission occurred at 280-nm and 305-nm wavelengths, respectively. Temperature changes did not affect INS emissions. However, the interaction of PHL–INS caused a redshift at 305 to 317 nm. Temperature affected the binding constant (Ka) and the binding site (n). Ka decreased with increasing temperature and increased the binding site. The thermodynamic parameters such as enthalpy (ΔH0) and entropy (ΔS0) each had a value of − 16,514 kJ/mol and 22.65 J/mol·K. PHL and INS interaction formed hydrogen bonds and hydrophobic interaction. The free energy (ΔG0) recorded was negative. PHL and INS interactions took place spontaneously. The quenching effect was dynamic and static.KDvalues were greater thanKS. The higher the temperature, the less wasKDandKS. The appearance of two negative signals on circular dichroism (CD) spectropolarimeter implies that phloretin could induce regional configuration changes in insulin. The addition of PHL has revealed that the proportion of α-helix in the insulin stabilizes its structure. Phloretin’s stabilization and enhancement of the α-helix structural configuration in insulin indicate that phloretin can improve insulin resistance.
Assertive skills: a comparison of two group interventions with Brazilian university students
Authors: de Sousa Conceição Reis , da Costa Padovani Ricardo 
Published: August 2021

AbstractThe improvement or acquisition of socioemotional skills contributes to the academic and personal adaptation of university students. The way students think about themselves and others influence their social skills and well-being. Considering the importance of social competence for professional practice in the face of new social realities, the university must invest in programs that promote the socio-emotional development of students. This study compared the effects of interventions based on Rational Emotive Behavior Therapy and Psychoeducation on assertive skills and subjective well-being. This study involved 25 undergraduate students of a public university. The students were randomly allocated to three groups, including the Control group, and they were evaluated by means of questionnaires, inventories, scales, and written evaluation of the group process. The program consisted of 10 meetings and a 6-week follow-up. Irrational beliefs were reduced and their assertive skills’ scores increased in the post-intervention and follow-up evaluations, regardless of the group. Only verbal reports from participants indicated an increase in well-being. The students’ written reports after the end of the meetings indicate that the two forms of intervention were evaluated as promoting change by the students. One of the limitations of the study is the size of the groups. Despite the very small sample size, the study highlights that developing a set of flexible beliefs is fundamental to the exercise of assertiveness.
Genomic characterization of three marine fungi, including Emericellopsis atlantica sp. nov. with signatures of a generalist lifestyle and marine biomass degradation
Authors: Hagestad Ole Christian , Hou Lingwei , Andersen Jeanette H. , Hansen Espen H. , Altermark Bjørn , Li Chun , Kuhnert Eric , Cox Russell J. , Crous Pedro W. , Spatafora Joseph W. , Lail Kathleen , Amirebrahimi Mojgan , Lipzen Anna , Pangilinan Jasmyn , Andreopoulos William , Hayes Richard D. , Ng Vivian , Grigoriev Igor V. , Jackson Stephen A. , Sutton Thomas D. S. , Dobson Alan D. W. , Rämä Teppo 
Published: August 2021

ABSTRACTMarine fungi remain poorly covered in global genome sequencing campaigns; the 1000 fungal genomes (1KFG) project attempts to shed light on the diversity, ecology and potential industrial use of overlooked and poorly resolved fungal taxa. This study characterizes the genomes of three marine fungi:Emericellopsissp. TS7, wood-associatedAmylocarpus encephaloidesand algae-associatedCalycina marina.These species were genome sequenced to study their genomic features, biosynthetic potential and phylogenetic placement using multilocus data.Amylocarpus encephaloidesandC. marinawere placed in theHelotiaceaeandPezizellaceae (Helotiales), respectively, based on a 15-gene phylogenetic analysis. These two genomes had fewer biosynthetic gene clusters (BGCs) and carbohydrate active enzymes (CAZymes) thanEmericellopsissp. TS7 isolate.Emericellopsissp. TS7 (Hypocreales,Ascomycota) was isolated from the spongeStelletta normani. A six-gene phylogenetic analysis placed the isolate in the marineEmericellopsisclade and morphological examination confirmed that the isolate represents a new species, which is described here asE. atlantica. Analysis of its CAZyme repertoire and a culturing experiment on three marine and one terrestrial substrates indicated thatE. atlanticais a psychrotrophic generalist fungus that is able to degrade several types of marine biomass. FungiSMASH analysis revealed the presence of 35 BGCs including, eight non-ribosomal peptide synthases (NRPSs), six NRPS-like, six polyketide synthases, nine terpenes and six hybrid, mixed or other clusters. Of these BGCs, only five were homologous with characterized BGCs. The presence of unknown BGCs sets and large CAZyme repertoire set stage for further investigations ofE. atlantica. ThePezizellaceaegenome and the genome of the monotypicAmylocarpusgenus represent the first published genomes of filamentous fungi that are restricted in their occurrence to the marine habitat and form thus a valuable resource for the community that can be used in studying ecological adaptions of fungi using comparative genomics.
Prevalence of maladaptive daydreaming among medical students at the University of Khartoum, Sudan, in 2020–2021
Authors: Bashir Moez Mohammed Ibrahim 
Published: August 2021

Abstract
Background
Daydreaming is a normal cognitive phenomenon in which the individual experiences a temporary separation from reality during which contact with reality is compromised and, to some extent, replaced by a visionary fantasy. On the other hand, daydreaming can progress to a maladaptive state, known as maladaptive daydreaming. The aim of this study was to help understand the full scope of maladaptive daydreaming among medical students at the University of Khartoum, in Sudan, by displaying all maladaptive daydreaming-related statistics among studied population. An analytical cross-sectional university-based study was conducted during the academic year 2020–2021, using a total of 323 self-administered online questionnaires; the questionnaire containing the Arabic Version of Maladaptive Daydreaming Scale and other sociodemographic data were given by stratified random selection to undergraduate medical students at the University of Khartoum, in Sudan, between December and January 2021.

Results
34.3% of medical students at the University of Khartoum have identified themselves as maladaptive daydreamers. More males were found to be maladaptive daydreamers when compared to female medical students. The average Maladaptive Daydreaming Scale score among medical students was found to be 33.6 (sd=22.3). No significant correlation was found between Maladaptive Daydreaming Scale score and gender, and there was a significant correlation between the MDS score and the academic class of medical students at University of Khartoum.

Conclusions
Maladaptive daydreaming was discovered to have a significant impact on the population of medical students at the University of Khartoum, with some alarming rates and correlations among medical students; having more than one-third of total medical students found to be having MD must surely indicate a much larger and more widespread problem. A multifactorial holistic approach covering biological, psychological, social, and academic aspects must be used when hypothesizing the justification for these findings and planning an active intervention strategy.