bluuebunny/crossref_metadata_2025 huggingface dataset:
The piRNA cluster torimochi is an expanding transposon in cultured silkworm cells
Authors: Shoji Keisuke , Umemura Yusuke , Katsuma Susumu , Tomari Yukihide
Published: February 2023

PIWI proteins and PIWI-interacting RNAs (piRNAs) play a central role in repressing transposable elements in animal germ cells. It is thought that piRNAs are mainly produced from discrete genomic loci named piRNA clusters, which often contain many “dead” transposon remnants from past invasions and have heterochromatic features. In the genome of silkworm ovary-derived cultured cells called BmN4, a well-established model for piRNA research, torimochi was previously annotated as a unique and specialized genomic region that can capture transgenes and produce new piRNAs bearing a trans-silencing activity. However, the sequence identity of torimochi has remained elusive. Here, we carefully characterized torimochi by utilizing the updated silkworm genome sequence and the long-read sequencer MinION. We found that torimochi is in fact a full-length gypsy-like LTR retrotransposon, which is exceptionally active and has massively expanded its copy number in BmN4 cells. Many copies of torimochi in BmN4 cells have features of open chromatin and the ability to produce piRNAs. Therefore, torimochi may represent a young, growing piRNA cluster, which is still “alive” and active in transposition yet capable of trapping other transposable elements to produce de novo piRNAs.
Prevalence of post kala-azar dermal leishmaniasis (PKDL) and treatment seeking behavior of PKDL patients in Nepal
Authors: Joshi Anand Ballabh , Banjara Megha Raj , Das Murari Lal , Ghale Pragyan , Pant Krishna Raj , Parajuli Niraj , Pyakurel Uttam Raj , Dahal Gokarna Raj , Das Chuman Lal , Kroeger Axel , Aseffa Abraham
Published: February 2023

Background

In Nepal, the burden of post kala-azar dermal leishmaniasis (PKDL) is not known since there is no active case detection of PKDL by the national programme. PKDL patients could pose a challenge to sustain visceral leishmaniasis (VL) elimination. The objective of this study was to determine the prevalence of PKDL and assess PKDL patients’ knowledge on VL and PKDL, and stigma associated with PKDL.

Methodology/Principal findings

Household surveys were conducted in 98 VL endemic villages of five districts that reported the highest number of VL cases within 2018–2021. A total of 6,821 households with 40373 individuals were screened for PKDL. Cases with skin lesions were referred to hospitals and examined by dermatologists. Suspected PKDL cases were tested with rK39 and smear microscopy from skin lesions. An integrated diagnostic approach was implemented in two hospitals with a focus on management of leprosy cases where cases with non-leprosy skin lesions were tested for PKDL with rK39. Confirmed PKDL patients were interviewed to assess knowledge and stigma associated with PKDL, using explanatory model interview catalogue (EMIC) with maximum score of 36. Among 147 cases with skin lesions in the survey, 9 (6.12%) were confirmed as PKDL by dermatologists at the hospital. The prevalence of PKDL was 2.23 per 10,000 population. Among these 9 PKDL cases, 5 had a past history of VL and 4 did not. PKDL cases without a past history of VL were detected among the “new foci”, Surkhet but none in Palpa. None of the cases negative for leprosy were positive for PKDL. There was very limited knowledge of PKDL and VL among PKDL cases. PKDL patients suffered to some degree from social and psychological stigma (mean ± s.d. score = 17.89 ± 12.84).

Conclusions/Significance

Strengthening the programme in PKDL case detection and management would probably contribute to sustenance of VL elimination. Awareness raising activities to promote knowledge and reduce social stigma should be conducted in VL endemic areas.
Reference gene expression stability within the rat brain under mild intermittent ketosis induced by supplementation with medium-chain triglycerides
Authors: Schwarz Alexander P. , Nikitina Veronika A. , Krytskaya Darya U. , Shcherbakova Ksenia P. , Trofimov Alexander N.
Published: February 2023

Reverse transcription followed by quantitative (real-time) polymerase chain reaction (RT-qPCR) has become the gold standard in mRNA expression analysis. However, it requires an accurate choice of reference genes for adequate normalization. The aim of this study was to validate the reference genes for qPCR experiments in the brain of rats in the model of mild ketosis established through supplementation with medium-chain triglycerides (MCT) and intermittent fasting. This approach allows to reproduce certain neuroprotective effects of the classical ketogenic diet while avoiding its adverse effects. Ketogenic treatment targets multiple metabolic pathways, which may affect the reference gene expression. The standard chow of adult Wistar rats was supplemented with MCT (2 ml/kg orogastrically, during 6 h of fasting) or water (equivolume) for 1 month. The mRNA expression of 9 housekeeping genes (Actb, B2m, Gapdh, Hprt1, Pgk1, Ppia, Rpl13a, Sdha, Ywhaz) in the medial prefrontal cortex, dorsal and ventral hippocampus was measured by RT-qPCR. Using the RefFinder® online tool, we have found that the reference gene stability ranking strongly depended on the analyzed brain region. The most stably expressed reference genes were found to be Ppia, Actb, and Rpl13a in the medial prefrontal cortex; Rpl13a, Ywhaz, and Pgk1 in the dorsal hippocampus; Ywhaz, Sdha, and Ppia in the ventral hippocampus. The B2m was identified as an invalid reference gene in the ventral hippocampus, while Sdha, Actb, and Gapdh were unstable in the dorsal hippocampus. The stabilities of the examined reference genes were lower in the dorsal hippocampus compared to the ventral hippocampus and the medial prefrontal cortex. When normalized to the three most stably expressed reference genes, the Gapdh mRNA was upregulated, while the Sdha mRNA was downregulated in the medial prefrontal cortex of MCT-fed animals. Thus, the expression stability of reference genes strongly depends on the examined brain regions. The dorsal and ventral hippocampal areas differ in reference genes stability rankings, which should be taken into account in the RT-qPCR experimental design.
Copying fidelity of functional and non-functional features in ni-Vanuatu children: A transmission chain study
Authors: Sibilsky Anne , Colleran Heidi , Deffner Dominik , Haun Daniel B. M.
Published: February 2023

Observational learning plays a key role in cultural transmission. Previous transmission chain experiments have shown that children are able to maintain information across multiple generations through observational learning. It still remains unclear how the transmission of functional vs. non-functional information and the effect of being observed unfold across age in different communities. Here, we examine children’s copying fidelity in observational learning of 5- to 13-year-olds from five different communities in Vanuatu, both individually (n = 263, 144 boys) and throughout a transmission chain of five to six children (n = 324, 178 boys). We additionally varied the functionality of the feature being copied (shape vs. color) and the copying context (observed vs. unobserved). Further, we also study developmental and cultural variation in the interaction of features and conditions. We find that children transmit the functional feature shape more faithfully than the non-functional feature color, both in the dyadic transitions as well as the transmission chains with an increasing tendency to do so as they get older. The age patterns show greater variation between communities for color than for shape. Overall, we find that being observed shows no uniform effects but influences transmission differently across communities. Our study shows that children are prone to passing on a functional feature across multiple generations of peers. Children copy non-functional features as well, but with lower fidelity. In sum, our results show children’s high propensity and developing abilities for observational learning, ultimately allowing for effective cultural transmission.
Effect of hyper-parameters on the performance of ConvLSTM based deep neural network in crop classification
Authors: Durrani Awab ur Rashid , Minallah Nasru , Aziz Najam , Frnda Jaroslav , Khan Waleed , Nedoma Jan
Published: February 2023

Deep learning based data driven methods with multi-sensors spectro-temporal data are widely used for pattern identification and land-cover classification in remote sensing domain. However, adjusting the right tuning for the deep learning models is extremely important as different parameter setting can alter the performance of the model. In our research work, we have evaluated the performance of Convolutional Long Short-Term Memory (ConvLSTM) and deep learning techniques, over various hyper-parameters setting for an imbalanced dataset and the one with highest performance is utilized for land-cover classification. The parameters that are considered for experimentation are; Batch size, Number of Layers in ConvLSTM model, and No of filters in each layer of the ConvLSTM are the parameters that will be considered for our experimentation. Experiments also have been conducted on LSTM model for comparison using the same hyper-parameters. It has been found that the two layered ConvLSTM model having 16-filters and a batch size of 128 outperforms other setting scenarios, with an overall validation accuracy of 97.71%. The accuracy achieved for the LSTM is 93.9% for training and 92.7% for testing.
SARS-CoV-2 multi-antigen protein microarray for detailed characterization of antibody responses in COVID-19 patients
Authors: Celikgil Alev , Massimi Aldo B. , Nakouzi Antonio , Herrera Natalia G. , Morano Nicholas C. , Lee James H. , Yoon Hyun ah , Garforth Scott J. , Almo Steven C.
Published: February 2023

Antibodies against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) target multiple epitopes on different domains of the spike protein, and other SARS-CoV-2 proteins. We developed a SARS-CoV-2 multi-antigen protein microarray with the nucleocapsid, spike and its domains (S1, S2), and variants with single (D614G, E484K, N501Y) or double substitutions (N501Y/Deletion69/70), allowing a more detailed high-throughput analysis of the antibody repertoire following infection. The assay was demonstrated to be reliable and comparable to ELISA. We analyzed antibodies from 18 COVID-19 patients and 12 recovered convalescent donors. The S IgG level was higher than N IgG in most of the COVID-19 patients, and the receptor-binding domain of S1 showed high reactivity, but no antibodies were detected against the heptad repeat domain 2 of S2. Furthermore, antibodies were detected against S variants with single and double substitutions in COVID-19 patients who were infected with SARS-CoV-2 early in the pandemic. Here we demonstrated that the SARS-CoV-2 multi-antigen protein microarray is a powerful tool for detailed characterization of antibody responses, with potential utility in understanding the disease progress and assessing current vaccines and therapies against evolving SARS-CoV-2.
Nurse-assisted and multidisciplinary outpatient follow-up among patients with decompensated liver cirrhosis: A systematic review
Authors: O’Connell Malene Barfod , Bendtsen Flemming , Nørholm Vibeke , Brødsgaard Anne , Kimer Nina
Published: February 2023

Background and objective

Liver cirrhosis represents a considerable health burden and causes 1.2 million deaths annually. Patients with decompensated liver cirrhosis have a poor prognosis and severely reduced health-related quality of life. Nurse-led outpatient care has proven safe and feasible for several chronic diseases and engaging nurses in the outpatient care of patients with liver cirrhosis has been recommended. At the decompensated stage, the treatment and nursing care are directed at specific complications, educational support, and guidance concerning preventive measures and signs of decompensation. This review aimed to assess the effects of nurse-assisted follow-up after admission with decompensation in patients with liver cirrhosis from all causes.

Method

A systematic search was conducted through February 2022. Studies were eligible for inclusion if i) they assessed adult patients diagnosed with liver cirrhosis that had been admitted with one or more complications to liver cirrhosis and ii) if nurse-assisted follow-up, including nurse-assisted multidisciplinary interventions, was described in the manuscript. Randomized clinical trials were prioritized, but controlled trials and prospective cohort studies with the intervention were also included. Primary outcomes were mortality and readmission, but secondary subjective outcomes were also assessed.

Results and conclusion

We included eleven controlled studies and five prospective studies with a historical control group comprising 1224 participants. Overall, the studies were of moderate to low quality, and heterogeneity across studies was substantial. In a descriptive summary, the 16 studies were divided into three main types of interventions: educational interventions, case management, and standardized hospital follow-up. We saw a significant improvement across all types of studies on several parameters, but currently, no data support a specific type of nurse-assisted, post-discharge intervention. Controlled trials with a predefined intervention evaluating clinically- and practice-relevant endpoints in a real-life, patient-oriented setting are highly warranted.
Polymorphism of NOS3 gene and its association with essential hypertension in Guizhou populations of China
Authors: Li Ruichao , Zhao Ansu , Diao Xiaoyan , Song Juhui , Wang Chanjuan , Li Yanhong , Qi Xiaolan , Guan Zhizhong , Zhang Ting , He Yan
Published: February 2023

Objective

A case-control study was conducted to evaluate the relationship between endothelial nitric oxide synthase (NOS3) gene polymorphism and essential hypertension in the Han, Miao, and Buyi populations in Guizhou China.

Methods

DNA was collected from the blood samples of 353 essential hypertension patients and 342 healthy controls from Guizhou province of China. Eight polymorphisms of the NOS3 gene were genotyped using the Sequenom MassARRAY platform. For genetic analysis, SPSS 26.0, Haploview, SNPStats, SHEsis, and MDR were utilized.

Results

All SNPs (rs11771443, rs1808593, rs753482, rs3918186, rs3918188, rs3918227, rs7830, and rs891512) satisfied the Hardy-Weinberg equilibrium test (P > 0.05). The allele and genotype frequencies of rs7830 and rs1808593 in case-control groups demonstrated significant differences (P < 0.05). Compared to the TT genotype of rs1808593, the TG or GG genotype reduced the risk of hypertension in the Miao population (OR = 0.410, 95% CI: 0.218–0.770, P = 0.006). Compared to the GG or GT genotype of rs7830, the TT genotype increased the risk of hypertension in the overall populations (OR = 1.716, 95%CI: 1.139–2.586, P = 0.010). The CATT (rs3918227-rs391818186-rs1808593-rs7830) haplotype was a risk factor for hypertension in the Miao and Han populations (OR = 1.471, 95%CI: 1.010–2.143, P = 0.044 and OR = 1.692, 95%CI: 1.124–2.545, P = 0.011). The CAGG haplotype in the Miao population was a protective factor against hypertension (OR = 0.555, 95%CI: 0.330–0.934, P = 0.025). The rs3918188, rs1808593, and rs7830 in the Miao population showed an interaction effect on hypertension (P < 0.001). The rs11771443, rs3918188, and rs7830 in the Buyi and Han populations showed an interaction effect on hypertension (P = 0.013 and P < 0.001).

Conclusion

The single nucleotide polymorphisms rs1808593 and rs7830 of NOS3 gene are associated with essential hypertension in Guizhou ethnic populations.
A method for non-destructive microwave focusing for deep brain and tissue stimulation
Authors: Harid Vijay , Kim Hoyoung , Li Ben-Zheng , Lei Tim
Published: February 2023

Non-invasive stimulation of biological tissue is highly desirable for several biomedical applications. Of specific interest are methods for tumor treatment, endometrial ablation, and neuro-modulation. In traditional neuro-modulation, single- and multi-coil transcranial stimulation techniques in low oscillation frequencies are utilized to non-invasively penetrate the skull and elicit action potentials in cortical neurons. Although these methods have been proven effective, tightly focusing these signals to localized regions is difficult. In recent years, microwave (MW) methods have seen an increase usage as a minimally invasive treatment modality for ablation and neuro-stimulation. Unlike low frequency signals, MW signals can be focused to localized sub-centimeter regions. In this work we demonstrate that a three-dimensional array of MW antennas can be used to tightly focus signals to a localized region in space within the human body with MW frequencies. Assuming an array of small MW loop antennas are placed around the body, the optimal amplitude and phase of each array element can be accurately determined to match an arbitrary desired field profile. The major innovation of the presented method is that the fields that penetrate the biological region are determined via computing numerical Green’s functions (NGF) that are then used to drive an optimization algorithm. Using simplified models of regions in the human body, it is shown that the MW fields at 1 GHz can be focused to sub-centimeter sized “hot spots” at depths of several centimeters. The algorithm can be easily extended to more realistic models of the human body or for non-biological applications.
Construction of a new smooth support vector machine model and its application in heart disease diagnosis
Authors: Wang Jianjian , He Feng , Sun Shouheng
Published: February 2023

Support vector machine (SVM) is a new machine learning method developed from statistical learning theory. Since the objective function of the unconstrained SVM model is a non-smooth function, a lot of fast optimization algorithms can’t be used to find the solution. Firstly, to overcome the non-smooth property of this model, a new padé33 approximation smooth function is constructed by rational approximation method, and a new smooth support vector machine model (SSVM) is established based on the smooth function. Then, by analyzing the performance of the smooth function, we find that the smooth precision is significantly higher than existing smooth functions. Moreover, theoretical and rigorous mathematical analyses are given to prove the convergence of the new model. Finally, it is applied to the heart disease diagnosis. The results show that the Padé33-SSVM model has better classification capability than existing SSVMs.
Cerebral blood volume sensitive layer-fMRI in the human auditory cortex at 7T: Challenges and capabilities
Authors: Faes Lonike K. , De Martino Federico , Huber Laurentius (Renzo)
Published: February 2023

The development of ultra high field fMRI signal readout strategies and contrasts has led to the possibility of imaging the human brain in vivo and non-invasively at increasingly higher spatial resolutions of cortical layers and columns. One emergent layer-fMRI acquisition method with increasing popularity is the cerebral blood volume sensitive sequence named vascular space occupancy (VASO). This approach has been shown to be mostly sensitive to locally-specific changes of laminar microvasculature, without unwanted biases of trans-laminar draining veins. Until now, however, VASO has not been applied in the technically challenging cortical area of the auditory cortex. Here, we describe the main challenges we encountered when developing a VASO protocol for auditory neuroscientific applications and the solutions we have adopted. With the resulting protocol, we present preliminary results of laminar responses to sounds and as a proof of concept for future investigations, we map the topographic representation of frequency preference (tonotopy) in the auditory cortex.
Vitamin D (1α,25(OH)2D3) supplementation minimized multinucleated giant cells formation and inflammatory response during Burkholderia pseudomallei infection in human lung epithelial cells
Authors: Mattrasongkram Pohnratchada , Wongkaewkhiaw Saharut , Taweechaisupapong Suwimol , Chareonsudjai Sorujsiri , Techawiwattanaboon Teerasit , Ngamsiri Thararin , Kanthawong Sakawrat
Published: February 2023

Melioidosis is an infectious disease with high mortality rates in human, caused by the bacterium Burkholderia pseudomallei. As an intracellular pathogen, B. pseudomallei can escape from the phagosome and induce multinucleated giant cells (MNGCs) formation resulting in antibiotic resistance and immune evasion. A novel strategy to modulate host response against B. pseudomallei pathogenesis is required. In this study, an active metabolite of vitamin D3 (1α,25-dihydroxyvitamin D3 or 1α,25(OH)2D3) was selected to interrupt pathogenesis of B. pseudomallei in a human lung epithelium cell line, A549. The results demonstrated that pretreatment with 10−6 M 1α,25(OH)2D3 could reduce B. pseudomallei internalization to A549 cells at 4 h post infection (P < 0.05). Interestingly, the presence of 1α,25(OH)2D3 gradually reduced MNGC formation at 8, 10 and 12 h compared to that of the untreated cells (P < 0.05). Furthermore, pretreatment with 10−6 M 1α,25(OH)2D3 considerably increased hCAP-18/LL-37 mRNA expression (P < 0.001). Additionally, pro-inflammatory cytokines, including MIF, PAI-1, IL-18, CXCL1, CXCL12 and IL-8, were statistically decreased (P < 0.05) in 10−6 M 1α,25(OH)2D3-pretreated A549 cells by 12 h post-infection. Taken together, this study indicates that pretreatment with 10−6 M 1α,25(OH)2D3 has the potential to reduce the internalization of B. pseudomallei into host cells, decrease MNGC formation and modulate host response during B. pseudomallei infection by minimizing the excessive inflammatory response. Therefore, 1α,25(OH)2D3 supplement may provide an effective supportive treatment for melioidosis patients to combat B. pseudomallei infection and reduce inflammation in these patients.
Clinical and imagenologic significance of the neutrophil-to-lymphocyte ratio in neuromyelitis optica spectrum disorder: A systematic review with meta-analysis
Authors: Cabanillas-Lazo Miguel , Cruzalegui-Bazán Claudia , Pascual-Guevara Milagros , Quispe-Vicuña Carlos , Terry-Escalante Fernando Andres , Mori Nicanor , Alva-Díaz Carlos
Published: February 2023

Background

Recently, the neutrophil-lymphocyte ratio (NLR) has become a biomarker for assessing inflammatory stress and prognosis in different diseases.

Objective

We aimed to conduct a systematic review and meta-analysis to summarize the current evidence on the capacity of the NLR to serve as a biomarker in neuromyelitis optica spectrum disorder (NMOSD).

Methods

Through a comprehensive systematic search up to December 2021 and using the search terms "neutrophil-to-lymphocyte ratio" and "neuromyelitis optica spectrum disorder" we selected studies evaluating NLR values in NMOSD patients. A meta-analysis was planned, and a narrative synthesis was performed when this was not possible. Subgroup and sensitivity analyses were planned. The Grading of Recommendations, Assessment, Development and Evaluations (GRADE) approach was used to assess certainty of the evidence.

Results

Six studies were included (1036 patients). A significant increase in the NLR was observed between NMOSD patients and healthy controls with high heterogeneity (MD: 1.04; 95% CI: 0.76; 1.32; I2= 59%). Regarding NMOSD prognosis, relapse (OR: 1.33 –OR: 2.14) was evaluated as being related to NLR with low certainty. An association with Expanded Disability Status Scale (EDSS) score ≥4 (OR: 1.23 –OR: 1.43) was reported with moderate certainty. An association with the occurrence of lesions on MRI was reported with an OR of 1.52.

Conclusion

We found the NLR to be useful as a biomarker of NMOSD as it was significantly increased in the patient group compared to the healthy control group with high certainty. Additionally, the NLR was applicable as an indicator of poor prognosis with low to moderate certainty.
Microscopic vascular invasion may not be associated with survival of patients undergoing resection for solitary hepatoma of ≤ 2 cm
Authors: Li Wei-Feng , Liu Yueh-Wei , Wang Chih-Chi , Yong Chee-Chien , Lin Chih-Che , Yen Yi-Hao
Published: February 2023

Background/objective

To determine the impact of microvascular invasion (MVI) on outcome in patients with solitary hepatocellular carcinoma (HCC) of ≤ 2 cm undergoing liver resection (LR).

Methods

This retrospective study enrolled consecutive patients between 2007–2019 with newly diagnosed solitary HCC ≤ 2 cm who were undergoing LR at our institution. Overall survival (OS) and recurrent-free survival (RFS) were compared between patients with or without MVI.

Results

Of the 229 patients included in this study, 71 had MVI. The median follow-up period was 28.8 months (interquartile range: 13.5–70.1). Although the 90-day mortality rate was 0, 18 deaths occurred during the study, and the 5-year survival rate was 87.1%. Tumor recurrence occurred in 45 cases, and 5-year RFS was 71.9%. The presence or absence of MVI did not significantly affect the OS and RFS rates (log rank test, p = 0.10 and 0.38, respectively). In univariate and multivariate analysis, the presence of MVI was not associated with OS and RFS.

Conclusion

The presence of MVI was not associated with OS and RFS in patients with solitary HCC ≤ 2 cm who underwent LR in this cohort.
A machine learning approach identifies distinct early-symptom cluster phenotypes which correlate with hospitalization, failure to return to activities, and prolonged COVID-19 symptoms
Authors: Epsi Nusrat J. , Powers John H. , Lindholm David A. , Mende Katrin , Malloy Allison , Ganesan Anuradha , Huprikar Nikhil , Lalani Tahaniyat , Smith Alfred , Mody Rupal M. , Jones Milissa U. , Bazan Samantha E. , Colombo Rhonda E. , Colombo Christopher J. , Ewers Evan C. , Larson Derek T. , Berjohn Catherine M. , Maldonado Carlos J. , Blair Paul W. , Chenoweth Josh , Saunders David L. , Livezey Jeffrey , Maves Ryan C. , Sanchez Edwards Margaret , Rozman Julia S. , Simons Mark P. , Tribble David R. , Agan Brian K. , Burgess Timothy H. , Pollett Simon D. ,   for the EPICC COVID-19 Cohort Study Group
Published: February 2023

Background

Accurate COVID-19 prognosis is a critical aspect of acute and long-term clinical management. We identified discrete clusters of early stage-symptoms which may delineate groups with distinct disease severity phenotypes, including risk of developing long-term symptoms and associated inflammatory profiles.

Methods

1,273 SARS-CoV-2 positive U.S. Military Health System beneficiaries with quantitative symptom scores (FLU-PRO Plus) were included in this analysis. We employed machine-learning approaches to identify symptom clusters and compared risk of hospitalization, long-term symptoms, as well as peak CRP and IL-6 concentrations.

Results

We identified three distinct clusters of participants based on their FLU-PRO Plus symptoms: cluster 1 (“Nasal cluster”) is highly correlated with reporting runny/stuffy nose and sneezing, cluster 2 (“Sensory cluster”) is highly correlated with loss of smell or taste, and cluster 3 (“Respiratory/Systemic cluster”) is highly correlated with the respiratory (cough, trouble breathing, among others) and systemic (body aches, chills, among others) domain symptoms. Participants in the Respiratory/Systemic cluster were twice as likely as those in the Nasal cluster to have been hospitalized, and 1.5 times as likely to report that they had not returned-to-activities, which remained significant after controlling for confounding covariates (P < 0.01). Respiratory/Systemic and Sensory clusters were more likely to have symptoms at six-months post-symptom-onset (P = 0.03). We observed higher peak CRP and IL-6 in the Respiratory/Systemic cluster (P < 0.01).

Conclusions

We identified early symptom profiles potentially associated with hospitalization, return-to-activities, long-term symptoms, and inflammatory profiles. These findings may assist in patient prognosis, including prediction of long COVID risk.
Deception detection with machine learning: A systematic review and statistical analysis
Authors: Constâncio Alex Sebastião , Tsunoda Denise Fukumi , Silva Helena de Fátima Nunes , Silveira Jocelaine Martins da , Carvalho Deborah Ribeiro
Published: February 2023

Several studies applying Machine Learning to deception detection have been published in the last decade. A rich and complex set of settings, approaches, theories, and results is now available. Therefore, one may find it difficult to identify trends, successful paths, gaps, and opportunities for contribution. The present literature review aims to provide the state of research regarding deception detection with Machine Learning. We followed the PRISMA protocol and retrieved 648 articles from ACM Digital Library, IEEE Xplore, Scopus, and Web of Science. 540 of them were screened (108 were duplicates). A final corpus of 81 documents has been summarized as mind maps. Metadata was extracted and has been encoded as Python dictionaries to support a statistical analysis scripted in Python programming language, and available as a collection of Jupyter Lab Notebooks in a GitHub repository. All are available as Jupyter Lab Notebooks. Neural Networks, Support Vector Machines, Random Forest, Decision Tree and K-nearest Neighbor are the five most explored techniques. The studies report a detection performance ranging from 51% to 100%, with 19 works reaching accuracy rate above 0.9. Monomodal, Bimodal, and Multimodal approaches were exploited and achieved various accuracy levels for detection. Bimodal and Multimodal approaches have become a trend over Monomodal ones, although there are high-performance examples of the latter. Studies that exploit language and linguistic features, 75% are dedicated to English. The findings include observations of the following: language and culture, emotional features, psychological traits, cognitive load, facial cues, complexity, performance, and Machine Learning topics. We also present a dataset benchmark. Main conclusions are that labeled datasets from real-life data are scarce. Also, there is still room for new approaches for deception detection with Machine Learning, especially if focused on languages and cultures other than English-based. Further research would greatly contribute by providing new labeled and multimodal datasets for deception detection, both for English and other languages.
Probabilistic coherence, logical consistency, and Bayesian learning: Neural language models as epistemic agents
Authors: Betz Gregor , Richardson Kyle
Published: February 2023

It is argued that suitably trained neural language models exhibit key properties of epistemic agency: they hold probabilistically coherent and logically consistent degrees of belief, which they can rationally revise in the face of novel evidence. To this purpose, we conduct computational experiments withrankers: T5 models [Raffel et al. 2020] that are pretrained on carefully designed synthetic corpora. Moreover, we introduce a procedure for eliciting a model’s degrees of belief, and define numerical metrics that measure the extent to which given degrees of belief violate (probabilistic, logical, and Bayesian) rationality constraints. While pretrainedrankersare found to suffer from global inconsistency (in agreement with, e.g., [Jang et al. 2021]), we observe that subsequent self-training on auto-generated texts allowsrankersto gradually obtain a probabilistically coherent belief system that is aligned with logical constraints. In addition, such self-training is found to have a pivotal role in rational evidential learning, too, for it seems to enablerankersto propagate a novel evidence item through their belief systems, successively re-adjusting individual degrees of belief. All this, we conclude, confirms theRationality Hypothesis, i.e., the claim that suitable trained NLMs may exhibit advanced rational skills. We suggest that this hypothesis has empirical, yet also normative and conceptual ramifications far beyond the practical linguistic problems NLMs have originally been designed to solve.
Interventions for depression and anxiety among people with diabetes mellitus: Review of systematic reviews
Authors: Franquez Reginaldo Tavares , de Souza Isabela Muniz , Bergamaschi Cristiane de Cássia
Published: February 2023

This review of systematic reviews of randomized clinical trials summarized the available evidence regarding the effectiveness and safety of interventions to treat depression and/or anxiety in people with type 1 and type 2 diabetes. The sources of information searched were the Cochrane Library, MEDLINE, EMBASE, Web of Science and LILACS, until up to December 1st, 2022. The interventions were compared with placebo, active control or usual care. The measured primary outcomes were improvement in depression and anxiety remission, reduction of diabetes-specific emotional distress; and improvement in quality of life. Two reviewers, independently, selected the reviews, extracted their data, and assessed their methodological quality using AMSTAR-2. A narrative synthesis of the findings was performed, according to the type of intervention and type of diabetes. Thirteen systematic reviews that included 28,307 participants were analyzed. The reviews had at least one critical methodological flaw. Cognitive Behavioral Therapy improved the mainly depression, glycemic values (n = 5 reviews) and anxiety (n = 1), in adults and elderly with diabetes. Collaborative care (n = 2) and health education (n = 1) improved depression and glycemic values, in adults with diabetes. Pharmacological treatment (n = 2) improved depression outcomes only. The quality of the evidence was low to moderate, when reported. The interventions reported in literature and mainly the Cognitive Behavioral Therapy can be effective to treat people with diabetes and depression; however, some findings must be confirmed. This study can guide patients, their caregivers and health professionals in making decisions concerning the use of these interventions in the mental healthcare of people with diabetes.

Protocol Registration: PROSPERO (CRD42021224587).
Import options for chemical energy carriers from renewable sources to Germany
Authors: Hampp Johannes , Düren Michael , Brown Tom
Published: February 2023

Import and export of fossil energy carriers are cornerstones of energy systems world-wide. If energy systems are to become climate neutral and sustainable, fossil carriers need to be substituted with carbon neutral alternatives or electrified if possible. We investigate synthetic chemical energy carriers, hydrogen, methane, methanol, ammonia and Fischer-Tropsch fuels, produced using electricity from Renewable Energy Source (RES) as fossil substitutes. RES potentials are obtained from GIS-analysis and hourly resolved time-series are derived using reanalysis weather data. We model the sourcing of feedstock chemicals, synthesis and transport along nine different Energy Supply Chains to Germany and compare import options for seven locations around the world against each other and with domestically sourced alternatives on the basis of their respective cost per unit of hydrogen and energy delivered. We find that for each type of chemical energy carrier, there is an import option with lower costs compared to domestic production in Germany. No single exporting country or energy carrier has a unique cost advantage, since for each energy carrier and country there are cost-competitive alternatives. This allows exporter and infrastructure decisions to be made based on other criteria than energy and cost. The lowest cost means for importing of energy and hydrogen are by hydrogen pipeline from Denmark, Spain and Western Asia and Northern Africa starting at 36 EUR/MWhLHVto 42 EUR/MWhLHVor 1.0 EUR/kgH2to 1.3 EUR/kgH2(in 2050, assuming 5% p.a. capital cost). For complex energy carriers derived from hydrogen like methane, ammonia, methanol or Fischer-Tropsch fuels, imports from Argentina by ship to Germany are lower cost than closer exporters in the European Union or Western Asia and Northern Africa. For meeting hydrogen demand, direct hydrogen imports are more attractive than indirect routes using methane, methanol or ammonia imports and subsequent decomposition to hydrogen because of high capital investment costs and energetic losses of the indirect routes. We make our model and data available under open licenses for adaptation and reuse.
Effects of footshock stress on social behavior and neuronal activation in the medial prefrontal cortex and amygdala of male and female mice
Authors: Dorofeikova Mariia , Borkar Chandrashekhar D. , Weissmuller Katherine , Smith-Osborne Lydia , Basavanhalli Samhita , Bean Erin , Smith Avery , Duong Anh , Resendez Alexis , Fadok Jonathan P.
Published: February 2023

Social behavior is complex and fundamental, and its deficits are common pathological features for several psychiatric disorders including anxiety, depression, and posttraumatic stress disorder. Acute stress may have a negative impact on social behavior, and these effects can vary based on sex. The aim of this study was to explore the effect of acute footshock stress, using analogous parameters to those commonly used in fear conditioning assays, on the sociability of male and female C57BL/6J mice in a standard social approach test. Animals were divided into two main groups of footshock stress (22 male, 24 female) and context exposed control (23 male and 22 female). Each group had mice that were treated intraperitoneally with either the benzodiazepine—alprazolam (control: 10 male, 10 female; stress: 11 male, 11 female), or vehicle (control: 13 male, 12 female; stress: 11 male, 13 female). In all groups, neuronal activation during social approach was assessed using immunohistochemistry against the immediate early gene product cFos. Although footshock stress did not significantly alter sociability or latency to approach a social stimulus, it did increase defensive tail-rattling behavior specifically in males (p = 0.0022). This stress-induced increase in tail-rattling was alleviated by alprazolam (p = 0.03), yet alprazolam had no effect on female tail-rattling behavior in the stress group. Alprazolam lowered cFos expression in the medial prefrontal cortex (p = 0.001 infralimbic area, p = 0.02 prelimbic area), and social approach induced sex-dependent differences in cFos activation in the ventromedial intercalated cell clusters (p = 0.04). Social approach following stress-induced cFos expression was positively correlated with latency to approach and negatively correlated with sociability in the prelimbic area and multiple amygdala subregions (all p < 0.05). Collectively, our results suggest that acute footshock stress induces sex-dependent alterations in defensiveness and differential patterns of cFos activation during social approach.
Application-specific approaches to MicroCT for evaluation of mouse models of pulmonary disease
Authors: Redente Elizabeth F. , Kopf Katrina W. , Bahadur Ali N. , Robichaud Annette , Lundblad Lennart K. , McDonald Lindsay T.
Published: February 2023

The advent of micro-computed tomography (microCT) has provided significant advancement in our ability to generate clinically relevant assessments of lung health and disease in small animal models. As microCT use to generate outcomes analysis in pulmonary preclinical models has increased there have been substantial improvements in image quality and resolution, and data analysis software. However, there are limited published methods for standardized imaging and automated analysis available for investigators. Manual quantitative analysis of microCT images is complicated by the presence of inflammation and parenchymal disease. To improve the efficiency and limit user-associated bias, we have developed an automated pulmonary air and tissue segmentation (PATS) task list to segment lung air volume and lung tissue volume for quantitative analysis. We demonstrate the effective use of the PATS task list using four distinct methods for imaging, 1)in vivorespiration controlled scanning using aflexiVent, 2) longitudinal breath-gatedin vivoscanning in resolving and non-resolving pulmonary disease initiated by lipopolysaccharide-, bleomycin-, and silica-exposure, 3) post-mortem imaging, and 4)ex vivohigh-resolution scanning. The accuracy of the PATS task list was compared to manual segmentation. The use of these imaging techniques and automated quantification methodology across multiple models of lung injury and fibrosis demonstrates the broad applicability and adaptability of microCT to various lung diseases and small animal models and presents a significant advance in efficiency and standardization of preclinical microCT imaging and analysis for the field of pulmonary research.
Reduction strategies for inpatient oral third-generation cephalosporins at a cancer center: An interrupted time-series analysis
Authors: Itoh Naoya , Kawabata Takanori , Akazawa Nana , Kawamura Daichi , Murakami Hiromi , Ishibana Yuichi , Kodama Eiichi N. , Ohmagari Norio
Published: February 2023

Oral third-generation cephalosporins (3GCs) are not recommended for use owing to their low bioavailability and the risk of emergence of resistant microorganisms with overuse. A standardized and effective method for reducing their use is lacking. Here, in a 60-month, single-institution, interrupted time-series analysis, which was retrospectively conducted between April 1, 2017, and March 31, 2022, we evaluated the effectiveness of a four-phase intervention to reduce the use of 3GCs in patients at a cancer center: Phase 1 (pre-intervention), Phase 2 (review of clinical pathways), Phase 3 (establishment of infectious disease consultation service and implementation of antimicrobial stewardship program), and Phase 4 (educational lecture and pop-up displays for oral antimicrobials at the time of ordering). Although no significant changes were observed in Phases 3 and 4, the first intervention resulted in a significant decrease in the trend and level of days of therapy (DOT) for 3GCs. The level for cephalexin DOT and the trend for sulfamethoxazole-trimethoprim DOT increased in Phase 4, and the trend for amoxicillin and amoxicillin-clavulanate DOT increased in Phase 3. Macrolide DOT showed a decreasing trend in Phases 2 and 4 and decreasing and increased levels in Phases 3 and 4, respectively; no change was observed for quinolones. Actual and adjusted purchase costs of 3GCs decreased significantly during all study periods, while those for oral antimicrobials decreased in Phase 2, and actual purchase costs increased in Phases 3 and 4. No significant reduction in resistant organisms, length of hospital stay, or mortality was observed. This is the first study on the effects of oral 3GC reduction strategies in patients with cancer. We conclude that even facilities that substantially use antimicrobials can efficiently reduce the use of 3GCs.
Total delay and associated factors among tuberculosis patients in Jimma Zone, Southwest Ethiopia
Authors: Ereso Berhane Megerssa , Sagbakken Mette , Gradmann Christoph , Yimer Solomon Abebe
Published: February 2023

Background

Delays in diagnosis and treatment of tuberculosis (TB) increases severity of illness and continued transmission of TB in the community. Understanding the magnitude and factors associated with total delay is imperative to expedite case detection and treatment of TB. The aim of this study was to determine the length and analyze factors associated with total delay.

Methods

Analytic cross-sectional study was conducted in Jimma Zone, Southwest Ethiopia. All newly diagnosed TB patients > 15 years of age were included from randomly selected eight districts and one town in the study area. A structured questionnaire was applied to collect socio-demographic and clinical data. The median total delay was used to dichotomize the sample into delayed and non-delayed patient categories. Logistic regression analysis was used to analyse the association between independent and outcome variables. A p-value < 0.05 were considered statistically significant.

Results

A total of 1,161 patients were included in this study. The median total delay was 35 days. Patients who had swelling or wound in the neck region were more likely to be delayed than their counterpart [adjusted odds ratio (AOR) = 3.02, 95% confidence interval (CI): 1.62, 5.62]. Women were more likely to experience longer total delay (AOR = 1.46, 95% CI:1.00, 2.14) compared to men. Patients who had poor knowledge of TB were more likely to be delayed compared to those who had good knowledge (AOR = 3.92, 95% CI: 2.65, 5.80).

Conclusion

The present study showed long total delay in diagnosis and treatment of TB. Targeted interventions that enhance TB knowledge and practice, expedite early suspect identification, referral and management of all forms of TB is imperative to reduce total delay in diagnosis and treatment of TB.
Determinants of exclusive breastfeeding practices among mothers in Ethiopia
Authors: Muluneh Mitiku Wale
Published: February 2023

Background

Exclusive breastfeeding (EBF) is the most cost-effective intervention to reduce infant morbidity and mortality worldwide. It is crucial since human milk contains nutrients, living cells, and defensive factors which enable infants to have better immunity, physical and mental development. Therefore, this study aimed at identifying the predictors of exclusive breastfeeding practices among mothers in Ethiopia using Ethiopian Demographic and Health Survey (EDHS) 2016 data.

Methods

EDHS 2016 data were used for the analysis. A total of 1,066 mothers were included in the analysis. The binary logistic regression model was used to identify the determinants of EBF practice among mothers. The result presented using adjusted odd ratio (AOR) with a 95% confidence interval.

Results

The prevalence of EBF was 58% of infants under age 6 months. Mothers age 25–34 (AOR = 1.74; 95% CI 1.31–2.32), child age 4–5 months (AOR = 0.74; 95% CI 0.66–0.84), married marital status (AOR = 1.26; 95% CI 1.06–1.50), mothers attained secondary education or higher (AOR = 2.00; 95% CI 1.54–2.58), husband attained secondary education or higher (AOR = 1.70; 1.39–2.13), richer wealth index (AOR = 0.35; 95% CI 0.18–0.69), accessed to the media (AOR = 1.77; 95% CI 1.38–2.27), number of living children 3–4 (AOR = 0.49; 95% CI 0.25–0.95), health facility (AOR = 1.87; 95% CI 1.09–3.20), rural residence (AOR = 0.66; 95% CI 0.49–0.89) and mothers living in Afar (AOR = 100.2; 95% CI 15.68–640.61), Somali (AOR = 52.65; 95% CI 8.48–326.77), SNNPR (AOR = 6.94; 95% CI 1.05–45.79), Harari (AOR = 61.94; 95% CI 9.75–393.44), Addis Ababa (AOR = 13.07; 95% CI 2.06–82.99), and Dire Dawa (AOR = 28.91; 95% CI 4.38–190.86) were associated with EBF practice.

Conclusions

The practice of exclusive breastfeeding remains low in Ethiopia. Therefore, the stakeholders should be taken into consideration those determinant factors identified in this study in policies and programmes to increase EBF practice among mothers. Moreover, designing and implementing specific strategies to enhance the rate of exclusive breastfeeding practices through community-based education is recommended.