bluuebunny/crossref_metadata_2025_split huggingface dataset:
Prevalence of Adverse Childhood Experiences and Its Associations with Non-Suicidal Self-Injury in Chinese Adolescents with Depression
Authors: Wang Lu , Zou Haiou , Liu Jun , Hong Jingfang 
Published: October 2022

Abstract
As a serious public health concern, adverse childhood experiences (ACEs) in adolescents with depression has been associated with a wide range of mental health problems, including non-suicidal self-injury (NSSI). However, few studies have comprehensively explored the prevalence of different types of ACEs and its associations with NSSI in Chinese adolescents with depression. This study aimed to investigate the prevalence of different types of ACEs and its associations with NSSI in Chinese adolescents with depression. 562 depressed adolescents were utilized to assess the prevalence of different types of ACEs and its associations with NSSI, by using Chi-squared tests, latent class analysis (LCA) and multinomial logistic regression. 92.9% of depressed adolescents reported ACEs, in which the prevalence of emotional neglect, physical abuse, caregiver treated violently and bullying were relatively high. Depressed adolescents with NSSI were associated with greater odds of exposure to ACEs, including sexual abuse (OR = 5.645), physical abuse (OR = 3.603), emotional neglect (OR = 3.096), emotional abuse (OR = 2.701), caregiver divorce/family separation (OR = 2.5), caregiver treated violently (OR = 2.221), caregiver substance abuser (OR = 2.117). Three latent classes were identified: the high ACEs class (19%), the moderate ACEs class (40%), and the low ACEs class (41%). There had a higher risk of NSSI in the high/moderate ACEs class compared to low ACEs class, particularly in the high ACEs class. The prevalence of ACEs in adolescents with depression was not optimistic, and some types of ACEs was associated with NSSI. Early prevention and targeted intervention of ACEs is important for eliminating potential risk factors for NSSI. In addition, further large-scale longitudinal studies are needed to evaluate the different development trajectories related to ACEs, such as the relationship between different development periods of ACEs and NSSI, and ensure the adoption of evidence-based prevention and intervention strategies.
GHG Emissions Affected by Agricultural Drainage Ditch Dredging and Vegetation Brushing
Authors: Schietzsch Andrew , Emilia Craiovan , Mark Sunohara , Blume Oliver , Amos Richard , Doucet Anne-Martine , Ian Clark , Lapen David , Blowes David , Ptacek Carol 
Published: October 2022

Abstract
Vegetation management and dredging of agricultural drainage ditches are practices often necessary to improve field drainage. However, these practices can influence soil greenhouse gas (GHG) emissions in and around the drainage ditches by influencing, for instance, soil/sediment profiles, water/air temperatures, plant nutrient uptake, and hydrology (soil). In this study, surface GHG fluxes (CO2, CH4, N2O) were compared between a vegetation brushed + dredged (managed) agricultural drainage ditch and an adjacent ditch that was not brushed or dredged (control), in eastern Ontario, Canada, during three growing seasons (2018–2020). Fluxes were measured on ditch shoulders, midslopes, hyporheic zones, and channel areas. Soil CO2 emissions increased (15–40%) along the managed ditch after trees were removed, in relation to the control ditch and this increase was likely due to warmer temperatures (3°C) and increased soil microbial activity as a result of decreased shading effects. And, moreover, the rapid natural re-establishment of shrubs and grasses after initial woody vegetation brushing did not cause substantial change in fluxes, in relation to time periods immediately following ditch management intervention. In-stream CH4 emissions after dredging were lower (> 90%). CO2 and CH4 were the dominant GHGs fluxes (20-yr CO2eq) in the riparian areas of the drainage ditches, with N2O emissions being significantly smaller (1–3%).
A holistic social-ecological systems resilience approach based on performance-based wildfire engineering
Authors: Tampekis Stergios , Palaiologou Palaiologos , Arabatzis Garyfallos , Kantartzis Apostolos , Sakellariou Stavros , Fafalis Dimitrios , Malesios Chrisovalantis , Stergiadou Anastasia , Tsiaras Evangelos 
Published: October 2022

Abstract

The recent worldwide increase of large, uncontrolled, and catastrophic wildfires events, caused important socio-economic issues and with considerable effects to the natural environment. Wildfires’ impacts on social-ecological systems derive from the complicated and multidimensional interconnected relationships between society and ecosystems. To enforce environmental and community resilience against wildfires, it is critical to holistically comprehend the local social-ecological systems. In this paper we present a holistic social-ecological systems resilience approach, built on performance-based wildfire engineering, that is envisioned to be a steppingstone towards the social-ecological resilience after a wildfire. To attain this objective, the performance assessment and design series of actions are disaggregated into explicit components of a rigorous mathematical framework. They are linked to a causal inference chain, providing an integrated picture, and enabling decision analysis to identify the optimal management strategies given a number of constraints. The proposed approach is proceeding from the total probability theorem and divides the risk assessment into single (underlying) parts, particularly: (1) hazard (wildfire) analysis, (2) damage analysis, (3) loss analysis, and social-ecological (4) impacts characterization, (5) interaction analysis, and (6) impacts analysis. A consistent probabilistic framework is proposed that explicitly considers and quantifies the inherent uncertainties for reliable wildfires performance resilient assessment. The suggested framework can be implemented by emergency agencies directly for performance assessment of society and ecosystems recovery after a wildfire, making more effective the emergency management and policy making.
EdgeAlign: platform for deep reinforcement learning based pairwise DNA sequence alignment compatible with embedded edge devices
Authors: Lall Aryan , Tallur Siddharth 
Published: October 2022

Abstract
Sequence alignment is an essential component of bioinformatics, for identifying regions of similarity that may indicate functional, structural, or evolutionary relationships between the sequences. Genome-based diagnostics relying on DNA sequencing have benefited hugely from the boom in computing power in recent decades, particularly due to cloud-computing and the rise of graphics processing units (GPUs) and other advanced computing platforms for running advanced algorithms. Translating the success of such breakthroughs in diagnostics to affordable solutions for low-cost healthcare requires development of algorithms that can operate on the edge instead of in the cloud, using low-cost and low-power electronic systems such as microcontrollers and field programmable gate arrays (FPGAs). In this work, we present EdgeAlign, a deep reinforcement learning based framework for performing pairwise DNA sequence alignment on stand-alone edge devices. EdgeAlign uses deep reinforcement learning to train a deep Q-network (DQN) agent for performing sequence alignment on fixed length sub-sequences, using a sliding window that is scanned over the length of the entire sequence. The hardware resource-consumption for implementing this scheme is thus independent of the lengths of the sequences to be aligned, and is further optimized using a novel AutoML based method for neural network model size reduction. Unlike other algorithms for sequence alignment reported in literature, the model demonstrated in this work is highly compact and deployed on two edge devices (NVIDIA® Jetson NanoTM Developer Kit and Digilent Arty A7-100T, containing Xilinx® XC7A35T Artix®-7 FPGA) for demonstration of alignment for sequences from the publicly available Influenza sequences at the National Center for Biotechnology Information (NCBI) Virus Data Hub.
Soft Tissue Esthetic using Pink esthetic score with Autogenous Dentin Chips and Immediate Implantation versus Conventional Immediate Implantation with Xenograft in Thin Buccal Bone:
(Randomized Controlled clinical trial)
Authors: Shoeib Mona Aly , hamada cherine emad mahmoud mohamed , Abdelrahman Ahmed Reda 
Published: October 2022

Abstract
Objective: When restoring teeth in the aesthetic zone, soft tissue aesthetics for an immediate implant is considered challenging. This study aimed to evaluate soft tissue aesthetics around immediate dental implants with dentin chips and xenograft in thin buccal bone.
Methodology: 16 patients with non-restorable teeth were recruited in this study for immediate implant placement with augmentation. Patients were randomly assigned into two equal groups; dentin chips group with immediate implant and xenograft group with immediate implant also. Pink aesthetic scores are recorded on loading at 6 months & after 1 year of implant insertion according to Vanlıoğlu. Also, buccal bone and crestal bone resorption were measured using CBCT at 6 months & 1 year; implant stability was measured using osstel immediately on implant insertion & before loading, and pain is recorded as a Numerical rating scale according to Breivik.
Results: In the present study, both groups showed better PES after 6 months and 1 year P-value = 0.343; P-value = 0.199 ; nearly same level of crestal bone & buccal bone at 6 months & 1 year P-value = 0.031; P-value = 0.029 P-value = 0.546; P-value = 0.268 ; implant stability is better at 6 months and one year P-value = 0.514; P-value = 0.340 and reduction in the post-operative pain within 1 week following implant placement with but with statistically significant difference within each group and also between both groups.
Conclusions: The use of autogenous dentin chips proved to be a valid alternative to bone grafting materials to fill the jumping gap in conjunction with immediate implants in the aesthetic zone.
PES, the overall difference between the control and the intervention groups showed no statistical significance.
Research Trend of Organ-Preserving Pancreatic Resection from 2000 to 2022: A Bibliometric and Visualized Analysis
Authors: Zhou Chang , Wang Hang-yan , Ma Zhao-lai , Jiang Bin , Li Lei , Zhang Li , Li Mu-xing , Xiu Dian-rong , Yuan Chun-hui 
Published: October 2022

Abstract
Background
Organ-preserving pancreatic resection has drawn more and more attention in the recent decades. This bibliometric analysis aimed to analyze the relevant articles to investigate the development trend and research distribution of this discipline.
Methods
Based on Web of Science database, the relevant terms of organ-preserving pancreatic resection were used to retrieve articles for bibliometric analysis. The relevant articles were retrieved and further analyzed by their publication journals, countries and institutions of origin, authors, and keywords.
Results
The 200 top-cited (T200) articles published from 2000 to 2022 were identified. These articles were published in 43 journals; among which Journal of Gastrointestinal Surgery published the most articles (n = 30). The articles came from 25 countries, with Germany accounting for the plurality (n = 43). Of the 886 scholars contributed to the research, Buchler MW, from Ruprecht Karls University Heidelberg in Germany, published the most articles (n = 17), with the total citations of 1158. Furthermore, Ruprecht Karls University Heidelberg, Germany, published the largest number of articles in organ-preserving pancreatic resection (n = 16), with the total citations of 955. Among articles retrieved, newly burst keywords showed the development trend of further attention in perioperative care, functional convention, and international cooperation.
Conclusion
Our study analyzed articles in organ-preserving pancreatic resection in the 21st century. The study was expected to provide panoramic information and shed light on future studies.
Expected and Predicted Curves of Markov Stochastic Processes and a New Interpretation of Deterministic Models
Authors: Sokol Miloslawa 
Published: October 2022

Abstract
Two curves characterizing a set of realizations of Markov stochastic process were analyzed: the expected curve and the predicted curve. Although the definition of the predicted curve is new, curves with the same formulas are known in science as so-called deterministic models. This can be seen in the examples of the most well-known models in biology: logistics, Lotka-Volterra and Hardy-Weinberg. Attention was paid to the efficiency of calculating these both curves and their interpretation as the central tendency characteristics of Markov stochastic processes.
Percutaneous endoscopic interlaminar discectomy for L5-S1 calcified lumbar disc herniation: a retrospective study
Authors: Cheng Yuanpei , Zhang Qianru , Li Yongbo , Chen Xipeng , Wu Han 
Published: October 2022

Abstract
Background: Calcified lumbar disc herniation (CLDH) is considered to be a special type of lumbar disc herniation (LDH). Percutaneous endoscopic interlaminar discectomy (PEID), with safety and efficacy, has been proved to be a minimally invasive surgery for LDH. However, there are few studies on PEID in the treatment of CLDH at L5-S1 level. This study aimed to analyze the clinical efficacy of PEID for L5-S1 CLDH.
Methods: From August 2016 to April 2020, we retrospectively analyzed 28 consecutive patients (17 males; 11 females) with L5-S1 CLDH treated with PEID at our institution. All the patients were followed up for greater than 1 year postoperatively. The demographic characteristics, surgical results and clinical outcomes estimated by the visual analog scale (VAS) for leg pain, Oswestry disability index (ODI) and modified MacNab criteria were collected.
Results: All patients were successfully performed by PEID. The mean operative time and intraoperative blood loss were 65.36 ± 5.26 minutes and 13.21 ± 4.35 ml, respectively. The VAS for leg pain and ODI scores improved remarkably from 7.54 ± 0.96 to 1.50 ± 0.51 (P < 0.05) and from 69.29 ± 9.91 to 17.43 ± 3.69 (P < 0.05) a year after operation, respectively. According to the modified MacNab criteria of the last follow-up, the excellent and good rates are 92.86%. Two of the patients had complications, one had nerve root injury and the other had postoperative dysesthesia.
Conclusions: PEID achieved good clinical outcomes in the treatment of L5-S1 CLDH. And PEID was a safe and effective minimally invasive surgery for L5-S1 CLDH.
PPARG, GNG12, and CD19 are potential independent predictors of central nerve recurrence in childhood acute lymphoblastic leukemia
Authors: zhang shan , Tu Yansong , Lai Hurong , Tu Huaijun , Li Jian 
Published: October 2022

Abstract
Objective
To identify biomarkers that can predict the recurrence of the central nervous system (CNS) in children with acute lymphoblastic leukemia (ALL).
Materials and Methods
The transcriptome and clinical data collected by the Children's Oncology Group (COG) collaboration group in the Phase II study and Phase I study of ALL in children were downloaded from the TARGET database. Transcriptome data were analyzed by bioinformatics method to identify core (hub) genes and establish a risk assessment model. Univariate Cox analysis was performed on each clinical data, and multivariate Cox regression analysis was performed on the obtained results and risk score. The children ALL phase I samples collected by the COG collaboration group in the TARGET database were used for verification.
Results
A total of 1230 differentially expressed genes were screened out between the CNS relapsed and non-relapsed groups. Univariate multivariate Cox analysis of 10 hub genes identified showed that PPARG (HR = 0.78, 95%CI = 0.67–0.91, p = 0.007), CD19 (HR = 1.15, 95%CI = 1.05–1.26, p = 0.003) and GNG12 (HR = 1.25, 95%CI = 1.04–1.51, p = 0.017) had statistical differences. The risk score was statistically significant in univariate (HR = 3.06, 95%CI = 1.30–7.19, p = 0.011) and multivariate (HR = 1.81, 95%CI = 1.16–2.32, p = 0.046) Cox regression analysis. The survival analysis results of the high and low-risk groups were different when the validation group was substituted into the model (p = 0.018). In addition, the CNS involvement grading status at first diagnosis CNS3 vs. CNS1 (HR = 5.74, 95%CI = 2.01–16.4, p = 0.001), T cell vs B cell (HR = 1.63, 95% CI = 1.06–2.49, p = 0.026) were also statistically significant.
Conclusions
PPARG, GNG12, and CD19 may be predictors of CNS relapse in childhood ALL.
Assessment of endogenous intoxication based on the study of medium and low molecular weight substances in patients with myocardial infarction against a background of chronic obstructive pulmonary disease
Authors: Prokofieva T. V. , Polunina O. S. , Polunina E. A. , Sevostyanova I. V. , Voronina P. N. 
Published: October 2022

Introduction. Frequent comorbidity of chronic obstructive pulmonary disease and myocardial infarction is due to the commonality of a number of etiopathogenetic links and the development of endogenous intoxication syndrome. The convincing markers of endogenous intoxication syndrome are medium and low molecular weight molecules including medium and low molecular weight substances and oligopeptides.Aim. To study the levels of medium and low molecular weight substances in patients with myocardial infarction against the background of chronic obstructive pulmonary disease.Materials and methods. 225 patients with myocardial infarction were examined. In 195 patients the infarction developed against the background of COPD, in 130 patients – without COPD. The comparison group consisted of 110 somatically healthy individuals. Substances of medium and low molecular weight (MLMWS) and oligopeptides (OP) were determined by direct spectrometry (according to M.Y. Malakhova, 1995) in plasma, erythrocytes and urine. Endogenous intoxication indices and intoxication coefficient were calculated on the basis of these indices. Statistical processing of the data was performed using SPSS 26.0 software package.Results. In blood plasma and erythrocytes, the levels of average molecules in both studied groups were statistically significantly higher compared to controls. The highest levels were detected in comorbid patients. In the group of patients with myocardial infarction without chronic obstructive pulmonary disease 60% of the examined patients had phase I endogenous intoxication. Phase III intoxication prevailed among comorbid patients with myocardial infarction against chronic obstructive pulmonary disease – 62,6%.Conclusions. Molecules of average mass have proven to be informative indices of endogenous intoxication syndrome in patients with myocardial infarction accompanied by chronic obstructive pulmonary disease. This opens the prospect of using these indices in the development of assessment scales and the creation of prognostic algorithms in patients with cardiorespiratory comorbidity.
The role of clinical and genetic factors in the progression of hypertrophy of the left ventricular myocardial in arterial hypertension
Authors: Mulerova T. A. , Morozova N. I. , Tsygankova D. P. , Indukaeva E. V. , Bazdyrev E. D. , Nakhratova O. V. , Ogarkov M. Yu. 
Published: October 2022

Introduction. A special position among the structural changes of the heart is occupied by left ventricular myocardial hypertrophy (LVH), which refers to the subclinical signs of heart damage in arterial hypertension (AH). Currently, the role of not only demographic, neuroendocrine, but also genetic factors in the development and progression of LVH is no longer in doubt.Aim. To assess the role of clinical and genetic factors in the progression of LVH in patients with hypertension based on the results of a dynamic 5-year follow-up of a cohort of Shors.Materials and methods. The survey of the indigenous population in Gornaya Shoria was carried out in two time periods: onetime (from 2013 to 2017) and prospective (from 2018 to 2020). The study included the adult population (18 years and older) – a total of 901 people – by continuous method. A group of patients with hypertension was identified – 367 people (40.7%). LVH was assessed by electrocardiography and/or echocardiography. The prospective stage of the study included patients with hypertension who had not previously received antihypertensive therapy (263 people). The control and correction of blood pressure numbers was carried out annually, the dynamics of LVH was assessed after five years.Results. Clinical predictors of negative dynamics of LVH were established: obesity (OR = 3.61), abdominal obesity (OR = 4.11), impaired carbohydrate metabolism (OR = 2.83), low high-density lipoprotein cholesterol (OR = 2.05). Genetic markers also demonstrated their involvement in the progression of LVH: allele D of the ACE gene, allele C of the AGTR1 gene, and 4a of the eNOS gene (OR = 9.69; OR = 6.72; OR = 6.37, respectively).Conclusion. The associations of clinical and genetic factors with LVH identified in the Shor cohort can be considered as predictors of myocardial remodeling in hypertension. The data obtained support the hypothesis that polymorphisms of the renin-angiotensin-aldosterone system and endothelial function can influence the phenotype, creating new approaches to the possible prediction of unfavorable outcomes.
New principles for the treatment of chronic heart failure: the phenomenon of sodium-glucose cotransporter type 2 inhibitors
Authors: Kanorskiy S. G. 
Published: October 2022

Chronic heart failure (CHF) is one of the most important problems in clinical cardiology due to high morbidity, frequent hospitalizations and poor prognosis of patients. Quite unexpectedly, sodium-glucose cotransporter type 2 (SGLT2i) inhibitors dapagliflozin and empagliflozin, which were created for the treatment of diabetes mellitus, proved to be effective means of reducing the risk of an adverse outcome in patients with CHF, they were included in a new four-component therapy for CHF with a reduced left ventricular ejection fraction with a class of recommendations I and level of evidence A. The basis for changing the clinical guidelines for CHF was the results of large randomized trials of DAPA-HF and EMPEROR-Reduced. Despite the obvious clinical benefit of using SGLT2i in CHF, the mechanisms of the observed effects remain speculative and continue to be actively studied. In particular, the literature discusses the role of osmotic diuresis, lowering blood pressure and body weight, increasing erythropoietin production, influencing myocardial remodeling, modifying the energy metabolism of the heart, inhibiting the sodium-hydrogen exchanger, autophagy, and influencing leptin and adiponectin levels. SGLT2i has many of the qualities of an ideal agent for the treatment of CHF with reduced left ventricular ejection fraction, including a single dose without the need for titration, once daily administration, early positive effects on clinical outcomes and quality of life, a favorable safety and tolerability profile with a frequency of serious side effects not different from placebo. At the same time, the choice of medical tactics may be influenced by the features of the evidence base of SGLT2i, in particular, the reduction in cardiovascular mortality and death from any cause in a randomized trial of dapagliflozin.