Unknown Type Research Articles

Multi-step HPLC fractionation enabled in-depth and unbiased characterization of histone PTMs

Histone post-translational modifications (PTMs) are critical epigenetic regulatory factors. Histone PTMs are highly dynamic and complicated, encompassing over 30 structurally diverse modifications across nearly 180 amino acid residues, which generated extensive information regarding histone marks. In proteomics-based characterization of histone PTMs, chemical derivatization and antibody-based affinity enrichment were frequently utilized to improve the identification depth. However, chemical derivatization suffered from the occurrence of side reactions, and antibody-based affinity enrichment focused on specific PTM types of interest. In this research, we developed a multi-step fractionation strategy for comprehensively unbiased detection of histone PTM sites. By combining protein-level fractionation with peptide-level alkaline and acid phase fractionation, we developed the Multidimensional Fractionation based Histone Mark Identification Technology (MudFIT) and increased PTM identification to a total of 264 histone PTM sites. To the best of our knowledge, this strategy achieved the most comprehensive characterization of histone PTM sites in a single proteomics study. Using the same starting amount of sample, MudFIT identified more Kac sites and Kac peptides than those in antibody-based acetylated peptide enrichment. Moreover, in addition to well-studied histone marks, we discovered 36 potential new histone PTM sites including H2BK116bu, H4R45me2, H1K63pr, and uncovered unknown histone PTM types like aminoadipic on lysine and nitrosylation on tyrosine. Our data provided a method and resource for in-depth characterization of histone PTM sites, facilitating further biological understanding of histone marks.

Amycolatopsis nalaikhensis sp. nov. and Amycolatopsis carbonis sp. nov., two novel actinobacteria with antimicrobial activity isolated from a coal mining site in Mongolia.

Two-novel filamentous actinobacteria designated strains 2-2T and 2-15T were isolated from soil of a coal mining site in Mongolia, and their taxonomic positions were determined using a polyphasic approach. Phylogenetic analyses based on 16S rRNA gene sequences showed that each of the strains formed a distinct clade within the genus Amycolatopsis. The 16S rRNA gene sequence similarity analysis showed that both strains were mostly related to Amycolatopsis rhabdoformis NCIMB 14900T with 99.0 and 99.4% sequence similarity, respectively. The genome-based comparison indicated that strain 2-2T shared the highest digital DNA-DNA hybridization value of 35.6% and average nucleotide identity value of 86.9% with Amycolatopsis pretoriensis DSM 44654T, and strain 2-15T shared the corresponding values of 36.5 and 87.9% with A. rhabdoformis NCIMB 14900T, all of which being well below the thresholds for species delineation. The chemotaxonomic properties of both strains were typical of the genus Amycolatopsis. In silico prediction of chemotaxonomic markers was also carried out, and the results were consistent with the chemotaxonomic profiles of the genus. Genome mining for secondary metabolite production in strains 2-2T and 2-15T revealed the presence of 29 and 24 biosynthetic gene clusters involved in the production of polyketide synthase, non-ribosomal peptide synthetase, ribosomally synthesized and post-translationally modified peptides, lanthipeptide, terpenes, siderophore, and a number of other unknown type compounds. Both strains showed broad antifungal activity against several filamentous fungi and also antibacterial activity against methicillin-resistant Staphylococcus aureus and Acinetobacter baumannii. The phenotypic, biochemical, and chemotaxonomic properties indicated that both strains could be clearly distinguished from other species of Amycolatopsis, and thus the names Amycolatopsis nalaikhensis sp. nov. (type strain, 2-2T=KCTC 29695T=JCM 30462T) and Amycolatopsis carbonis (type strain, 2-15T=KCTC 39525T=JCM 30563T) are proposed accordingly.

A Dual-Stream Deep Learning-Based Acoustic Denoising Model to Enhance Underwater Information Perception

Estimating the line spectra of ship-radiated noise is a crucial remote sensing technique for detecting and recognizing underwater acoustic targets. Improving the signal-to-noise ratio (SNR) makes the low-frequency components of the target signal more prominent. This enhancement aids in the detection of underwater acoustic signals using sonar. Based on the characteristics of low-frequency narrow-band line spectra signals in underwater target radiated noise, we propose a dual-stream deep learning network with frequency characteristics transformation (DS_FCTNet) for line spectra estimation. The dual streams predict amplitude and phase masks separately and use an information exchange module to swap learn features between the amplitude and phase spectra, aiding in better phase information reconstruction and signal denoising. Additionally, a frequency characteristics transformation module is employed to extract convolutional features between channels, obtaining global correlations of the amplitude spectrum and enhancing the ability to learn target signal features. Through experimental analysis on ShipsEar, a dataset of underwater acoustic signals by hydrophones deployed in shallow water, the effectiveness and rationality of different modules within DS_FCTNet are verified.Under low SNR conditions and with unknown ship types, the proposed DS_FCTNet model exhibits the best line spectrum enhancement compared to methods such as SEGAN and DPT_FSNet. Specifically, SDR and SSNR are improved by 14.77 dB and 13.58 dB, respectively, enabling the detection of weaker target signals and laying the foundation for target localization and recognition applications.

Metabolic dysfunction and incidence of heart failure subtypes among Black individuals: The Jackson Heart Study.

The extent to which metabolic syndrome (MetS) severity influences subclinical myocardial remodelling, heart failure (HF) incidence and subtypes, remains unclear. We assessed the association of MetS with incident HF (including ejection fraction subtypes) among Black individuals. We included 4069 Jackson Heart Study participants (mean age 54.4 years, 63.8% women, 37.2% with MetS) without HF. We categorized participants based on MetS status and MetS severity scores (based on waist circumference [MetS-Z-WC] and body mass index [MetS-Z-BMI]). We assessed the associations of MetS indices with echocardiographic parameters, biomarkers of myocardial damage (high-sensitivity cardiac troponin I [hs-cTnI] and B-type natriuretic peptide [BNP]) and incident HF hospitalizations including HF with preserved ejection fraction (HFpEF) and HF with reduced ejection fraction (HFrEF). MetS severity was associated with subclinical cardiac remodelling (assessed by echocardiographic measures and biomarkers of myocardial damage). Over a median of 12 years, 319 participants developed HF (157 HFpEF, 149 HFrEF and 13 HF of unknown type). MetS was associated with a twofold greater risk of HF (hazard ratio [HR] 2.07, 95% confidence interval [CI] 1.64-2.61). Compared to the lowest quartile (Q1) of MetS-Z-WC, the highest quartile (Q4) conferred a higher risk of HF (HR 2.35, 95% CI 1.67-3.30), with a stronger association for HFpEF (Q4 vs. Q1: HR 4.94, 95% CI 2.67-9.14) vs. HFrEF (HR 1.69, 95% CI 1.06-2.70). Metabolic syndrome severity was associated with both HF subtypes among Black individuals, highlighting the importance of optimal metabolic health for preventing HF.

VICTOR: Validation and inspection of cell type annotation through optimal regression

Single-cell RNA sequencing provides unprecedent opportunities to explore the heterogeneity and dynamics inherent in cellular biology. An essential step in the data analysis involves the automatic annotation of cells. Despite development of numerous tools for automated cell annotation, assessing the reliability of predicted annotations remains challenging, particularly for rare and unknown cell types. Here, we introduce VICTOR: Validation and inspection of cell type annotation through optimal regression. VICTOR aims to gauge the confidence of cell annotations by an elastic-net regularized regression with optimal thresholds. We demonstrated that VICTOR performed well in identifying inaccurate annotations, surpassing existing methods in diagnostic ability across various single-cell datasets, including within-platform, cross-platform, cross-studies, and cross-omics settings.

Brivaracetam use in children with epilepsy: A retrospective multicenter study

PurposeThis retrospective multicenter study aimed to assess the efficacy and safety of brivaracetam (BRV) in pediatric epilepsy. MethodsOur cohort consisted of 93 children (mean age 11.5 ± 7.5 years) with a wide spectrum of pediatric epilepsy, including epileptic encephalopathy and generalized epilepsy. Of these, 61 (60.4%) were diagnosed with focal epilepsy, 19 (15.8%) with generalized epilepsy, and 16 (15.8%) with combined epilepsy, while 8 patients (7.9%) had an unknown epilepsy type. The cohort included rare epilepsy syndromes: 8 patients with Lennox-Gastaut syndrome, 3 with Dravet syndrome, and 1 with Rasmussen syndrome. Patients had a history of various antiseizure medications (ASMs) (6.42 ± 3.15), and on average, were being treated with more than two (2.57 ± 1.16) drugs at the time of BRV deployment. ResultsRetention rates were high, with 80.6% of patients adhering to treatment at 3 months, 66.7% at 6 months, and 45.2% at 12 months. In 29 patients (30.1%), BRV was added in an overnight switch from levetiracetam (LEV), resulting in a reduction of behavioral adverse effects (AEs) in 5 patients (17.2%). The response rate was 25.8% at 3 months, 16.1% at 6 months, and 17.2% at 12 months, with no responders in the epileptic encephalopathy group. Therapy tolerance was notable, with 70 patients (75.3%) reporting no AEs. Transient AEs occurred in 10 patients (10.7%), and in 13 cases (14.0%), the AEs warranted dose adjustment or discontinuation of BRV. ConclusionApproximately one-fifth of pediatric patients with drug-resistant epilepsy responded to BRV, with the best response observed in patients with focal seizures. However, the impact on patients with epileptic encephalopathy was limited.

Two thirds of patients may not need routine 12-month specialist review in an epilepsy clinic: A cross-sectional study of clinic appointments

ObjectivesTimely access to specialist outpatient clinics can be difficult to achieve as outpatient services are often oversubscribed leading to unacceptable wait times. New patients, or those with emergent issues may wait for appointments whilst existing patients are booked in for routine reviews “just in case” there is a problem, using considerable clinic resources. We investigated routine 12-month review appointments to assess whether these appointments changed patient management. MethodsThe medical records of 100 randomly selected adult patients attending annual review appointments over 12 months at a publicly-funded specialist outpatient epilepsy clinic in Melbourne, Australia were audited. Demographic and clinical data as well as information about the content of each appointment were analysed to determine whether the appointment resulted in changes to epilepsy management (eg medication change), administrative actions (eg drivers license approval) or the provision of information or education. Logistic regression was performed to assess what clinical factors were associated with changes in patient care arising from the 12-month review appointment. ResultsAlmost half (47%) of appointments resulted in no change to patient care and 37% had only administrative outcomes, such as the completion of a regulatory driving report. Only 16% of appointments resulted in a change in medical management. The only factor that independently predicted a change in medical management was the occurrence of a seizure in the previous year. The only factor independently associated with not having any change in medical management or administrative action was having an unknown seizure type. Conclusions/ significanceOnly a small number of patients experience a change in medical management when attending a 12-month epilepsy clinic appointment, with a need for management change associated with the presence of ongoing seizure. Outpatient services should limit the use of routine annual follow up to those patients most likely to need intervention or support, creating “just in time” capacity for timely access to review as issues arise.

Iatrogenic allogenesis and autoimmune diseases

Introduction. Iatrogenic allogenesis is currently a public health problem due to the constant increase in cases, especially in underdeveloped countries. Objective. To characterize patients diagnosed with iatrogenic allogenesis. Methods. An observational, descriptive, cross-sectional study was conducted in 23 patients with a confirmed diagnosis of iatrogenic allogenesis. Adverse reactions, the appearance of autoimmune diseases, and their association with the type of substance injected were described. Results. Women aged 30-39 years, single, and with non-university education predominated. 48% of patients received the infiltration by stylists in beauty salons. The most common infiltration area was the face, and 39% of patients did not know the substance that was injected. Granulomatous reactions, generalized pain, and nodule formation predominated, associated with all the molding agents used and with injections in the face. Contour changes and asymmetry were associated with the use of silicones and biopolymers and were more common with injections in the face and buttocks. 47.8% of patients were diagnosed with autoimmune diseases, with vasculitis and systemic lupus erythematosus being the most common. 63.6% of those diagnosed with autoimmune diseases were infiltrated with substances of unknown type. Conclusions. Granulomatous reactions, generalized pain, and nodule formation predominated, along with the diagnosis of vasculitis and systemic lupus erythematosus; these were more frequently associated with the injection of substances of unknown origin and composition

Gamma gap as a prognostic marker of treatment response in patients with multiple myeloma.

Multiple myeloma (MM) is defined by the excessive growth of cancerous plasma cells in the bone marrow, resulting in the production of an abnormal monoclonal paraprotein and signs of damage to vital organs. The diagnosis of multiple myeloma can be complex. This paper centers on the diagnosis of MM and examines the role of the gamma gap (GG) in prompting tests to assess treatment effectiveness. Sixty individuals newly diagnosed with MM were selected from medical facilities in Iraq, specifically Baghdad Hospital/Medical City and Hematological Center, between November 2022 and March 2023. Additionally, 30 healthy participants were included as a comparison group. The assessment of suspected MM patients involves confirming the presence of a monoclonal paraprotein using serum electrophoresis (SEPG) and immunofixation (SIF), as well as analyzing free light chains (FLC). Spectrophotometric methods were used to measure total serum protein and albumin levels and calculate the globulin-to-albumin ratio by subtracting serum albumin from total serum protein. In most MM cases the monoclonal immunoglobulin (as M-spike) was identified and quantified by SPEP. Based on the findings from IFE detection, the prevalence of M-spike, particularly type IgG, was observed in 45 cases (83.3%), of which 40% were type κ, 24.6% were type λ, and 19.3% were of an unknown type. Additionally, type IgA was the second most prevalent (10 cases, 16.7%), with 14.3% being type κ and 1.7% being type λ. Moreover, the results indicated a significant association between GG and M-spike, as well as a strong correlation between GG and pre- and post-treatment M-spike levels. The area under the curve was deemed acceptable (AUC = 0.735, p = 0.0001), demonstrating high diagnostic accuracy (86.2) in distinguishing MM patients before and after treatment. The evaluation of GG in the serum of MM patients demonstrated elevated levels, which were significantly associated with patients post-treatment. Therefore, our findings have significant implications for the use of GG as a prognostic indicator for monitoring treatment response in MM patients.

Use of group a thawed plasma in emergency transfusions at a pediatric quaternary care center.

Balanced plasma/red blood cell transfusions have shown survival benefit in emergency scenarios. To improve plasma availability, we implemented 5-day group A thawed plasma at our pediatric hospital in February 2021. We maintain thawed group A plasma units (5-day shelf-life) ready for immediate issue in the blood bank (since February 2021) and trauma code room (since August 2022). Group A plasma (un-titered) is issued for patients with unknown blood type during emergencies. We retrospectively reviewed records and laboratory results of recipients to assess safety and identify possible adverse events related to incompatible plasma. Between February 2021 and December 2023, 173 emergency plasma requests occurred for 161 patients. Ninety-one occurred with massive transfusion protocol activations. Thirty-six patients (22.4%) were blood group B or AB, and 23 received incompatible plasma (age 0-21.3 years, weight 0.74-149.8 kg, incompatible plasma dose 4.0-428.4 mL/kg). These patients did not have any differences in survival outcomes or hospital lengths of stay (LOS) compared with compatible plasma recipients, mirroring the adult experience. None experienced adverse events related to group A plasma. No transfusion reactions were reported. No increase in wastage/outdate occurred upon thawed plasma implementation (2020 versus 2021 to 2023, 7.73% [133/1721] vs. 8.58% [497/5792], p = .284). We implemented 5-day group A thawed plasma. Units are rapidly available from the blood bank and trauma code room without increased wastage. We did not identify any transfusion-associated adverse events in pediatric recipients of incompatible group A plasma.

Unusual Cascade Reactions of 8-Acetoxy-6-hydroxymethyllimonene with Salicylic Aldehydes: Diverse Oxygen Heterocycles from Common Precursors.

Chiral oxygen-containing heterocyclic compounds are of great interest for the development of pharmaceuticals. Monoterpenes and their derivatives are naturally abundant precursors of novel synthetic chiral oxygen-containing heterocyclic compounds. In this study, acid catalyzed reactions of salicylic aldehydes with (-)-8-acetoxy-6-hydroxymethyllimonene, readily accessible from α-pinene, leads to the formation of chiral polycyclic products of various structural types. Three of the six isolated chiral heterocyclic products obtained from salicylic aldehyde contain previously unknown polycyclic ring types. Having carried out the reaction in the presence of Brønsted or Lewis acids (Amberlyst 15, trifluoromethanesulfonic acid, trifluoroacetic acid and boron trifluoride etherate) or aluminosilicates (montmorillonite K10, halloysite nanotubes), we found that the nature of products depends on the catalyst as well as the reaction conditions (reaction time, reactant ratio, presence or absence of solvent). Detailed mechanistic insight on the complex cascade reactions for product formation is provided with extensive experimental and quantum mechanical computational studies.

Detecting novel cell type in single-cell chromatin accessibility data via open-set domain adaptation.

Recent advances in single-cell technologies enable the rapid growth of multi-omics data. Cell type annotation is one common task in analyzing single-cell data. It is a challenge that some cell types in the testing set are not present in the training set (i.e. unknown cell types). Most scATAC-seq cell type annotation methods generally assign each cell in the testing set to one known type in the training set but neglect unknown cell types. Here, we present OVAAnno, an automatic cell types annotation method which utilizes open-set domain adaptation to detect unknown cell types in scATAC-seq data. Comprehensive experiments show that OVAAnno successfully identifies known and unknown cell types. Further experiments demonstrate that OVAAnno also performs well on scRNA-seq data. Our codes are available online at https://github.com/lisaber/OVAAnno/tree/master.

Synthesis, structure, spectral and luminescence studies of novel guanidinium aryl(oxy)(sulfanyl)(sulfonyl)acetates

A series of promising luminescent materials, nonlinear optical crystals, and physiologically active compounds – aryl(oxy)(sulfanyl)(sulfonyl)acetates of guanidine (A) of unknown type was synthesized. Various functional groups present in (A) were identified using FTIR spectroscopy. 1H and 13C NMR spectral studies further confirm the molecular structure (A). Crystals of guanidinium 4-chlorophenyl(sulfanyl)acetate (1) and guanidinium 4-chlorophenyl(sulfonyl)acetate (2) were successfully grown. They belong to the same lowest symmetry category, but to different crystal systems: monoclinic (1) and orthorhombic (2).It has been established that intrinsic optical absorption begins at a wavelength of ∼ 290 nm for crystalline compound (1) and ∼ 335 nm for crystal (2). The intrinsic luminescence spectrum of crystal (1) includes two bands with maxima at 300 and 515 nm. In the intrinsic luminescence spectrum of crystal (2), only one band is observed with a maximum at 350 nm. Such luminescence in both crystals is excited in the intrinsic absorption bands, as well as by X-ray radiation. In addition, in the near ultraviolet and throughout the visible region, where optical absorption is not detected (it is very weak), low-inertia (less than 10 ns) rather intense luminescence of uncontrolled impurity-defect centers is excited.The spectral bands of optical absorption, photo- and X-ray luminescence discovered in experiments were systematized using a diagram of energy levels and quantum transitions in crystals and defect centers of the compounds under study.

Maternal and neonatal outcomes associated with breech presentation in planned community (home and birth center) births in the United States: A prospective observational cohort study.

Investigate maternal and neonatal outcomes associated with breech presentation in planned community births in the United States, including outcomes associated with types of breech presentation (i.e., frank, complete, footling/kneeling). Secondary analysis of prospective cohort data from a national perinatal data registry (MANA Stats). Planned community birth (homes and birth centers), United States. Individuals with a term, singleton gestation (N = 71,943) planning community birth at labor onset. Descriptive statistics to calculate associations between types of breech presentation and maternal and neonatal outcomes. Maternal: intrapartum/postpartum transfer, hospitalization, cesarean, hemorrhage, severe perineal laceration, duration of labor stages and membrane rupture Neonatal: transfer, hospitalization, NICU admission, congenital anomalies, umbilical cord prolapse, birth injury, intrapartum/neonatal death. One percent (n = 695) of individuals experienced breech birth (n = 401, 57.6% vaginally). Most fetuses presented frank breech (57%), with 19% complete, 18% footling/kneeling, and 5% unknown type of breech presentation. Among all breech labors, there were high rates of intrapartum transfer and cesarean birth compared to cephalic presentation (OR 9.0, 95% CI 7.7-10.4 and OR 18.6, 95% CI 15.9-21.7, respectively), with no substantive difference based on parity, planned site of birth, or level of care integration into the health system. For all types of breech presentations, there was increased risk for nearly all assessed neonatal outcomes including hospital transfer, NICU admission, birth injury, and umbilical cord prolapse. Breech presentation was also associated with increased risk of intrapartum/neonatal death (OR 8.5, 95% CI 4.4-16.3), even after congenital anomalies were excluded. All types of breech presentations in community birth settings are associated with increased risk of adverse neonatal outcomes. These research findings contribute to informed decision-making and reinforce the need for breech training and research and an increase in accessible, high-quality care for planned vaginal breech birth in US hospitals.

RhD-Alloimmunization in Adult and Pediatric Trauma Patients

The actual risk of providing RhD-positive units to RhD-negative recipients remains debatable. There is no standard of care in the United States (US) to guide transfusion decisions regarding RhD type for patients with an unknown blood type, except for women of childbearing age and neonates. The risk of alloantibody formation by an RhD-negative patient exposed to RhD-positive blood is reported to be from 3% to 70%. Due to such wide variations, this review was undertaken to determine the prevalence of anti-D alloimmunization in trauma patients who are RhD-negative and were transfused RhD-positive blood products. This study used the “Preferred Reporting Items for Systematic Reviews and Meta-Analyses” (PRISMA) approach to answer the question, “In trauma patients who were transfused blood, what is the prevalence of alloimmunization to the D-antigen?” The review included all published articles through April 3, 2022 in databases. Articles published after the search period found by the authors were added to the manuscript if they addressed the primary question and there was unanimous consensus. There were 1683 full-text articles that met the search criteria, with 19 studies meeting eligibility criteria. In addition, 57 references were added after the search period had closed. The incidence of anti-D alloimmunization in adult trauma patients receiving whole blood varied from 7.8% to 42.7%. In contrast, incidence varied in patients receiving red blood cells (RBCs), from 0 to 94%, depending on number of categories analyzed. Anti-D alloimmunization with platelet transfusions varied from 0% to 19%. The alloimmunization rate increased with age and was detected only in children older than 5 years. Recent guidelines recommend the administration of Rh immune globulin (RhIG) to all traumatically injured patients who are both RhD-negative and pregnant. However, there is no specific guidance focused on the RhD-negative patient, pregnant or nonpregnant, and who have received RhD-positive red blood cells (RBC) and platelets. While numerous studies have attempted to evaluate the frequency of RhD alloimmunization rate in trauma settings, emerging data suggests that many factors affect this phenomenon. Additionally, the role of RhIG administration in cases of RhD-incompatible transfusions within the trauma setting adds complexity. As our trajectory propels us towards precision medicine and tailored transfusion practices, gaining a big data approach becomes indispensable.

Epidemiological characteristics of visceral leishmaniasis in Gansu Province from 2017 to 2023

To analyze the epidemiological characteristics of visceral leishmaniasis in Gansu Province from 2017 to 2023, so as to provide insights into formulation of the visceral leishmaniasis control strategy in the province. All epidemiological features of confirmed and clinically diagnosed cases of visceral leishmaniasis reported in Gansu Province from January 1, 2017 to December 31, 2023 were retrieved from the Chinese Disease Prevention and Control Information System, and the epidemiological characteristics of visceral leishmaniasis cases were analyzed descriptively. A total of 280 visceral leishmaniasis cases were reported in 39 counties (cities and districts) of Gansu Province from 2017 to 2023, including 258 local cases reported in 21 endemic counties (districts) and 22 imported cases reported in 18 non-endemic areas. Of the 280 cases, there were 262 cases with mountain type zoonotic visceral leishmaniasis (MT-ZVL), 12 cases with desert-type zoonotic visceral leishmaniasis (DT-ZVL), and 6 cases with unknown type. Re-emerging MT-ZVL occurred in Maiji District, Qinzhou District, Lixian County, Kangxian County, Zhenyuan County, Qin'an County and Yongjing County, and re-emerging DT-ZVL occurred in Dunhuang City, while emerging DT-ZVL occurred in Yumen City. The five counties (districts) reporting the highest number of visceral leishmaniasis cases included Wudu District, Wenxian County, Tanchang County, Zhouqu County and Diebu County, and a total of 220 cases were reported in these five counties, accounting for 78.57% of all visceral leishmaniasis cases in the province. Visceral leishmaniasis cases were reported each month throughout the year, with the peak in July. All reported visceral leishmaniasis cases had ages of 6 months to 81 years, including 50.71% (142/280) under 15 years of age, 49.29% (138/280) at ages of 15 years and older, and of all cases under 15 years of age, children at ages of 0 to 3 years were the most commonly affected (27.14%, 76/280). Among 280 visceral leishmaniasis cases, there were 173 males and 107 females with a male to female ratio of 1.62∶1, and farmer was the most common occupation (40.36%), followed by diaspora children (37.86%). The prevalence of visceral leishmaniasis appeared an overall tendency towards a decline in Gansu Province from 2017 to 2023; however, there are still multiple challenges for visceral leishmaniasis control in the province. Reinforced dog monitoring and management, intensified human health education and improved capability building among professionals are recommended to manage the rebounding and spread of visceral leishmaniasis.

A noise generative network to reduce the gap between simulation and measurement signals in mechanical fault diagnosis

Data-driven artificial intelligence models play an important role in mechanical fault diagnosis. Generally, it is difficult to collect relative complete fault samples, which limits the application of artificial intelligence models for complex mechanical systems. To address this issue, numerical model-based or called physical model-based fault sample generation methods attracted many attentions but still an open problem: the difference in fault samples between numerical simulation and measurement of a physical system needs to be well decreased. Therefore, a noise generative network (NGN) for mechanical fault classification is developed. First, the NGN is trained using the simulation and measurement normal samples. The simulation fault samples are further fed into the trained NGN to obtain more solid simulation fault samples with minor differences from measurements of mechanical systems with faults. Second, deep convolutional neural network is trained by solid simulation fault samples, and the test samples of unknown fault types will be finally recognized. Finally, validation experiments using rotation vector reducers, bearings, and rotors classified test samples with average accuracies of 99.5%, 95.7%, and 99.9%, respectively. They indicate that the proposed NGN model effectively reduces the difference between the simulation and measurement samples to lead more precision results for fault classification in mechanical systems.

A population-based survey of Americans with frequent migraine and acute medication use: A plain language summary.

The Harris Poll Migraine Report Card was a survey about people's experiences and challenges with headaches and migraine. The survey was conducted from December 9, 2021, to January 10, 2022, in the United States. The people who took the survey had frequent headaches/migraine attacks (on 8 or more days per month) and used acute headache/migraine medication to relieve head pain and other symptoms (on 10 or more days per month). This summary focuses on the responses of adults with frequent headaches and frequent acute medication use at the time of the survey or within the few months (not specified) before the survey (and not those who previously had frequent headaches and frequent acute medication use at some point in their life prior to the survey). The group of people who took the survey will be called 'respondents'. The term 'headaches' can mean any type of headache including as part of a migraine attack, a tension type headache, or another unknown headache type. All respondents screened positive for having migraine, so many of the headaches they reported on may have been a migraine headache or part of a migraine attack. Over 50% of respondents said their headaches affected their overall quality of life. Many respondents wished their healthcare provider who was managing their headaches understood more about how headaches affect their mental well-being, how much pain their headaches cause, and why they get headaches. 80% of respondents had concerns about their overall health. Over 60% of respondents said they have experienced anxiety and/or depression. In this survey, although all respondents were eligible to receive a preventive headache/migraine medication because of their headache frequency, only 15% were taking one. The findings from this survey showed many ways that headaches/migraine care can improve, including talking about mental and emotional well-being, making sure the treatment plan works and does not have side effects that cannot be tolerated, and trying to prevent headaches/migraine from occurring.

PredGCN: a Pruning-enabled Gene-Cell Net for automatic cell annotation of single cell transcriptome data.

The annotation of cell types from single-cell transcriptomics is essential for understanding the biological identity and functionality of cellular populations. Although manual annotation remains the gold standard, the advent of automatic pipelines has become crucial for scalable, unbiased, and cost-effective annotations. Nonetheless, the effectiveness of these automatic methods, particularly those employing deep learning, significantly depends on the architecture of the classifier and the quality and diversity of the training datasets. To address these limitations, we present a Pruning-enabled Gene-Cell Net (PredGCN) incorporating a Coupled Gene-Cell Net (CGCN) to enable representation learning and information storage. PredGCN integrates a Gene Splicing Net (GSN) and a Cell Stratification Net (CSN), employing a pruning operation (PrO) to dynamically tackle the complexity of heterogeneous cell identification. Among them, GSN leverages multiple statistical and hypothesis-driven feature extraction methods to selectively assemble genes with specificity for scRNA-seq data while CSN unifies elements based on diverse region demarcation principles, exploiting the representations from GSN and precise identification from different regional homogeneity perspectives. Furthermore, we develop a multi-objective Pareto pruning operation (Pareto PrO) to expand the dynamic capabilities of CGCN, optimizing the sub-network structure for accurate cell type annotation. Multiple comparison experiments on real scRNA-seq datasets from various species have demonstrated that PredGCN surpasses existing state-of-the-art methods, including its scalability to cross-species datasets. Moreover, PredGCN can uncover unknown cell types and provide functional genomic analysis by quantifying the influence of genes on cell clusters, bringing new insights into cell type identification and characterizing scRNA-seq data from different perspectives. The source code is available at https://github.com/IrisQi7/PredGCN and test data is available at https://figshare.com/articles/dataset/PredGCN/25251163.

Research on the classification of ancient silicate glass artifacts based on machine learning

AbstractClassifying cultural relics has always been a major challenge for archaeologists. Using glass artifacts as the research object, a classification model for glass artifacts was constructed using decision trees, support vector machines, and logistic regression methods based on their patterns, colors, surface weathering conditions, types, and composition ratios. Three models were used to identify the types of unknown glass artifacts. A subclassification model for high‐potassium glass and lead barium glass was established using the K‐means clustering method. The elbow method and average contour method were used to determine the optimal number of clusters, and the decision tree model was named based on the characteristics of the cluster center components. The research results indicate that the three models yield consistent identification results for unknown types of glass relics, and the classification results are good. Lead barium glass and high‐potassium glass can be divided into three and six subclasses, respectively, and the naming of the subclass decision tree is reasonable. The identification method for ancient glass relics in this article is highly practical and can provide a reference for the classification and identification of other component data.