bluuebunny/crossref_metadata_2025_split huggingface dataset:
Evolution of Fatty Liver Disease and Relationship With Lipoproteins and Clinical Outcomes in Hepatitis B/Human Immunodeficiency Virus Coinfection
Authors: Khalili Mandana , King Wendy C , Kleiner David E , Chung Raymond T , Bhan Atul K , Ghany Marc G , Sulkowski Mark S , Lisker-Melman Mauricio , Jain Mamta K , Janssen Harry L A , Hinerman Amanda S , Sanyal Arun J , Sterling Richard K 
Published: September 2021

Abstract

Background
Fatty liver disease (FLD) and hepatitis B virus (HBV) infection occur commonly in human immunodeficiency virus (HIV). FLD resolution is associated with improvement in lipoproteins in HIV-uninfected patients. We evaluated changes in FLD in an HBV/HIV-coinfected cohort.

Methods
One hundred eight HBV/HIV-coinfected adults with baseline liver biopsies were followed every 24 weeks (median, 166 weeks) and 60 had follow-up biopsies. Baseline FLD categories (none, ≥5% steatosis, steatohepatitis), their change, and relationships with clinical and lipid/lipoprotein parameters were explored using multivariable modeling.

Results
Median age was 50 years, and 93% were male. At baseline 30% had FLD. With control for lipid-lowering medications and body mass index, low-density lipoprotein (LDL) cholesterol (LDL-C), LDL particle concentration (LDL-P), and apolipoprotein B (apoB) decreased and adiponectin increased over time (all P &lt; .05); On follow-up (vs baseline), there was no significant difference in FLD category (P = .85); 60% remained without FLD, 17% had unchanged, 12% worsening, and 12% improved FLD. Baseline low-density lipoproteins (LDL-C, LDL-P, small LDL-P) and apoB appeared highest in those with unchanged FLD status (all P &lt; .05). No associations between changes in FLD across follow-up (worsening/improvement vs unchanged) and lipid/lipoproteins changes were identified.

Conclusions
In this cohort, there was no significant change in FLD prevalence over a relatively short timeframe. Baseline atherogenic lipids appeared highest in those with persistent steatosis or steatohepatitis, suggesting potentially increased cardiovascular risk in this group, but an independent relationship between individual-level change in FLD status and lipid/lipoprotein levels across follow-up was not observed.
Train-the-Trainer as an Effective Approach to Building Global Networks of Experts in Genomic Surveillance of Antimicrobial Resistance (AMR)
Authors: Abrudan Monica , Matimba Alice , Nikolic Dusanka , Hughes Darren , Argimón Silvia , Kekre Mihir , Underwood Anthony , Aanensen David M ,   NIHR Global Health Research Unit on Genomic Surveillance of Antimicrobial Resistance, Abudahab Khalil , Harste Harry , Muddyman Dawn , Taylor Ben , Wheeler Nicole , David Sophia , Donado-Godoy Pilar , Fabian Bernal Johan , Arevalo Alejandra , Fernanda Valencia Maria , Osma Castro Erik C D , Ravikumar K L , Nagaraj Geetha , Shamanna Varun , Govindan Vandana , Prabhu Akshata , Sravani D , Shincy M R , Rose Steffimole , Ravishankar K N , Okeke Iruka N , Oaikhena Anderson O , Afolayan Ayorinde O , Ajiboye Jolaade J , Ewomazino Odih Erkison , Carlos Celia , Lagrada Marietta L , Macaranas Polle Krystle V , Olorosa Agnettah M , Gayeta June M , Herrera Elmer M , Molloy Ali , Stelling John , Vegvari Carolin 
Published: September 2021

AbstractAdvanced genomics and sequencing technologies are increasingly becoming critical for global health applications such as pathogen and antimicrobial resistance (AMR) surveillance. Limited resources challenge capacity development in low- and middle-income countries (LMICs), with few countries having genomics facilities and adequately trained staff. Training research and public health experts who are directly involved in the establishment of such facilities offers an effective, but limited, solution to a growing need. Instead, training them to impart their knowledge and skills to others provides a sustainable model for scaling up the much needed capacity and capability for genomic sequencing and analysis locally with global impact. We designed and developed a Train-the-Trainer course integrating pedagogical aspects with genomic and bioinformatics activities. The course was delivered to 18 participants from 12 countries in Africa, Asia, and Latin America. A combination of teaching strategies culminating in a group project created a foundation for continued development at home institutions. Upon follow-up after 6 months, at least 40% of trainees had initiated training programs and collaborations to build capacity at local, national, and regional level. This work provides a framework for implementing a training and capacity building program for the application of genomics tools and resources in AMR surveillance.
Histopathology Is Key to Interpreting Multiplex Molecular Test Results From Postmortem Minimally Invasive Tissue Samples
Authors: Ritter Jana M , Seixas Josilene N , Walong Edwin , Dawa Jeanette , Onyango Clayton , Pimenta Fabiana C , da Gloria Carvalho Maria , Silva-Flannery Luciana , Jenkinson Tiffany , Howard Katie , Bhatnagar Julu , Diaz Maureen , Winchell Jonas M , Zaki Sherif R , Chaves Sandra S , Martines Roosecelis B 
Published: September 2021

Abstract

Background
Minimally invasive tissue sampling (MITS) is an alternative to complete autopsy for determining causes of death. Multiplex molecular testing performed on MITS specimens poses challenges of interpretation, due to high sensitivity and indiscriminate detection of pathogenic, commensal, or contaminating microorganisms.

Methods
MITS was performed on 20 deceased children with respiratory illness, at 10 timepoints up to 88 hours postmortem. Samples were evaluated by multiplex molecular testing on fresh tissues by TaqMan® Array Card (TAC) and by histopathology, special stains, immunohistochemistry (IHC), and molecular testing (PCR) on formalin-fixed, paraffin-embedded (FFPE) tissues. Results were correlated to determine overall pathologic and etiologic diagnoses and to guide interpretation of TAC results.

Results
MITS specimens collected up to 3 days postmortem were adequate for histopathologic evaluation and testing. Seven different etiologic agents were detected by TAC in 10 cases. Three cases had etiologic agents detected by FFPE or other methods and not TAC; 2 were agents not present on TAC, and 2 were streptococci that may have been species other than those present on TAC. Result agreement was 43% for TAC and IHC or PCR, and 69% for IHC and PCR. Extraneous TAC results were common, especially when aspiration was present.

Conclusions
TAC can be performed on MITS up to 3 days after death with refrigeration and provides a sensitive method for detection of pathogens but requires careful interpretation in the context of clinicoepidemiologic and histopathologic findings. Interpretation of all diagnostic tests in aggregate to establish overall case diagnoses maximizes the utility of TAC in MITS.
Burden of Serious Bacterial Infections and Multidrug-Resistant Organisms in an Adult Population of Nepal: A Comparative Analysis of Minimally Invasive Tissue Sampling Informed Mortality Surveillance of Community and Hospital Deaths
Authors: Bhattarai Suraj , Sharma Binita Koirala , Subedi Nuwadatta , Ranabhat Sunita , Baral Madan Prasad 
Published: September 2021

Abstract

Background
Bacterial diseases are the leading cause of mortality globally, and due to haphazard use of antibiotics, antimicrobial resistance has become an emerging threat.

Methods
This cross-sectional observational study utilized a minimally invasive tissue sampling procedure to determine the cause of death among an adult population. Bacterial cultures (blood, cerebrospinal fluid, lung tissue) and antibiotic susceptibility were evaluated, and the results were compared between community and hospital deaths.

Results
Of 100 deceased persons studied, 76 (76%) deaths occurred in the community and 24 (24%) in the hospital. At least 1 bacterial agent was cultured from 86 (86%) cases; of these, 74 (86%) had a bacterial disease attributed as the primary cause of death, with pneumonia (35, 47.3%), sepsis (33, 44.6%), and meningitis (3, 4.1%) most common. Of 154 bacterial isolates (76.6% from the community and 23.4% from the hospital) detected from 86 culture-positive cases, 26 (16.8%) were multidrug-resistant (MDR). Klebsiella species were the most common (13 of 26) MDR organisms. The odds of getting an MDR Klebsiella infection was 6-fold higher among hospital deaths compared with community deaths (95% confidence interval [CI], 1.37–26.40; P = .017) and almost 23-fold higher (CI, 2.45–213.54; P = .006) among cases with prior antibiotic use compared to those without.

Conclusions
High incidence of serious bacterial infections causing death of adults in the community, with most MDR organisms isolated from hospitalized cases, calls for robust surveillance mechanisms and infection prevention activities at the community level and evidence-driven antibiotic stewardship in healthcare settings.
Out of balance? Revisiting the nexus of income inequality, household debt and current account imbalances after the Great Recession
Authors: Ascione Fabio , Schnetzer Matthias 
Published: September 2021

AbstractRising current account imbalances around the globe preceded the Great Recession in the late 2000s. These imbalances narrowed significantly during the crisis mainly due to a negative demand shock and plummeting imports in deficit countries. While income inequality and household debt played a pivotal role in current account imbalances prior to the crisis, it is unclear whether these relations still hold when including the post-crisis era. We estimate current account determinants using a panel of 31 OECD countries over 45 years and include measures for functional and personal income distribution as well as household debt. We find a sustained relation between income inequality and current accounts when including the post-crisis period, while the link to household debt diminishes, indicating a change in the debt regime in a number of countries.
Clinical Evaluation of Plasma Separation Cards as a Tool to Collect, Store, and Test Blood Samples for Hepatitis B and C Serological Markers
Authors: Colucci Giuseppe , Renteria Sara Uceda , Ceriotti Ferruccio , Lampertico Pietro 
Published: September 2021

Abstract

Background
The plasma separation card (PSC) is a new device for collecting finger-pricking–derived small amount of blood in a solid support that is stable at room temperature and can be archived, mailed, and processed at a later time. This tool can facilitate screening at risk populations located in rural areas without local health care infrastructures. We evaluated the performance of PSC in the collection and preparation of blood samples for the determination of hepatitis B and C serological markers.

Methods
Blood obtained from 334 consecutive patients referred for the detection of hepatitis B surface antigens (HBsAg), hepatitis B surface antibodies (anti-HBs) and hepatitis C antibodies (anti-HCV) was analyzed in parallel using standard (STD) and PSC-based sample collection and preparation procedures. Results obtained from STD or PSC processed samples were compared for their detection rate and correlation.

Results
Using STD, we detected 5 samples positive for HBsAg, 150 for anti-HBs, and 23 for anti-HCV with a rate of concordance with PSC of 100%, 100%, and 91% respectively. The 100% concordance observed for anti-HBs was based on a cutoff of 2.6 IU/L for PSC-derived sample corresponding to the 10 IU/L threshold associated with immunity to hepatitis B. STD and PSC showed a good correlation (R2 = 0.85) in the detection of anti-HBs titers. The 2 anti-HCV PSC negative samples had no detectable viremia.

Conclusions
These data confirm the utility of PSC as a tool to support viral hepatitis screening programs in rural areas lacking local clinical infrastructures and testing facilities.
Association of Plasma Leucine-Rich Alpha-2 Glycoprotein 1 (LRG1) with All-Cause and Cause-Specific Mortality in Individuals with Type 2 Diabetes
Authors: Liu Jian-Jun , Pek Sharon L T , Liu Sylvia , Wang Jiexun , Lee Janus , Ang Keven , Shao Yi Ming , Gurung Resham L , Tavintharan Subramaniam , Tang Wern Ee , Sum Chee Fang , Lim Su Chi 
Published: September 2021

Abstract

Background
Leucine-rich alpha-2 glycoprotein 1 (LRG1) is a circulating protein in the transforming growth factor-beta superfamily. We sought to study whether LRG1 might predict risk for all-cause and cause-specific mortality in individuals with type 2 diabetes.

Methods
2012 outpatients with type 2 diabetes were followed for a median of 7.2 years and 188 death events were identified. Association of LRG1 with risk for mortality was assessed by multivariable Cox regression models.

Results
Participants with a higher concentration of LRG1 had an increased risk for all-cause mortality [HR (95% CI), 1.76 (1.03–3.01), 1.75 (1.03–2.98), and 4.37 (2.72–7.02) for quartiles 2, 3, and 4, respectively, compared to quartile 1]. The association remained significant after adjustment for known cardio-renal risk factors including estimated glomerular filtration rate and albuminuria [adjusted HR 2.76 (1.66–4.59), quartile 4 versus 1]. As a continuous variable, a 1-SD increment in LRG1 was associated with 1.34 (1.14–1.57)-fold adjusted risk for all-cause mortality. High plasma LRG1 was independently associated with mortality attributable to cardiovascular disease, infection, and renal diseases. Adding LRG1 into a clinical variable-based model improved discrimination (c statistics from 0.828 to 0.842, P = 0.006) and reclassification (net reclassification improvement 0.47, 95% CI 0.28–0.67) for prediction of 5-year all-cause mortality.

Conclusion
Plasma LRG1 predicts risk for all-cause mortality and mortality attributable to cardiovascular disease, infection, and renal disease independent of known cardio-renal risk factors. It may be a potential novel biomarker to improve risk stratification in individuals with type 2 diabetes.
Development of a Plasma Biomarker Diagnostic Model Incorporating Ultrasensitive Digital Immunoassay as a Screening Strategy for Alzheimer Disease in a Chinese Population
Authors: Wu Xue , Xiao Zhenxu , Yi Jingwei , Ding Saineng , Gu Hongchen , Wu Wanqing , Luo Jianfeng , Liang Xiaoniu , Zheng Li , Xu Hong , Zhao Qianhua , Ding Ding 
Published: September 2021

AbstractBackgroundThe ultrasensitive detection of blood-based biomarkers such as amyloid β (Aβ), tau, and neurofilament light (NFL) has drawn much attention in Alzheimer disease (AD) diagnosis. However, few studies have been conducted in the Chinese population. This study aimed to evaluate the ability of plasma biomarker diagnostic models for AD in the Chinese population based on a novel digital immunoassay technology.Methods159 patients with AD, 148 patients with amnestic mild cognitive impairment (aMCI), and 121 cognitively normal control participants were recruited from 2 cohorts. The concentrations of plasma Aβ42, Aβ40, Aβ42/Aβ40, total tau (t-tau), phosphorylated tau 181 (p-tau 181), and NFL were quantified using an ultrasensitive single molecule array (Simoa) platform. Comprehensive and simplified diagnostic models were established based on the plasma biomarker profile and clinical characteristics.ResultsAmong all blood biomarkers, p-tau181 had the greatest potential for identifying patients with cognitive impairment. The simplified diagnostic model, which combined plasma p-tau181, Aβ42, and clinical features, achieved 93.3% area under the curve (AUC), 78.6% sensitivity, and 94.2% specificity for distinguishing AD from control participants, indicating a diagnostic ability approaching that of the comprehensive diagnostic model including 5 plasma biomarkers and clinical characteristics (95.1% AUC, 85.5% sensitivity, 94.2% specificity). Moreover, the simplified model reached 95.9% AUC and 94.0% AUC for early- and late-onset AD/control participants, respectively.ConclusionsWe established AD diagnostic models using plasma biomarkers for Chinese participants. These findings suggest the simplified diagnostic model provides an accessible and practical way for large-scale screening in the clinic and community, especially in developing countries.
The Past, Present, and Future of Online Dispute Resolution
Authors: Rabinovich-Einy Orna 
Published: September 2021

Abstract
This article chronicles the evolution of the field of online dispute resolution from its inception in the mid-1990s to its current application in and outside the court system. While originally ODR played a modest role in the limited domain of e-commerce, over the years its application has expanded significantly, as have its form and function: from processes that have sought to replicate online equivalents to ones that reimagine the design of procedures to better fit party needs and to address the justice system’s longstanding problems. The article predicts that the future of ODR lies in increased automation, which includes artificial intelligence and various forms of structured negotiation, and, consequently, a reduced role for human third parties. This will require a rethinking of the ways in which access to justice, procedural justice and substantive justice can be realized. The key for realizing the values and goals of the justice system lies in the careful design and ongoing evaluation of online systems, activities that have themselves been transformed by technology and the availability of big data.
The Star-Structure Connectivity and Star-Substructure Connectivity of Hypercubes and Folded Hypercubes
Authors: Ba Lina , Zhang Heping 
Published: September 2021

Abstract
As a generalization of vertex connectivity, for connected graphs $G$ and $T$, the $T$-structure connectivity $\kappa (G; T)$ (resp. $T$-substructure connectivity $\kappa ^{s}(G; T)$) of $G$ is the minimum cardinality of a set of subgraphs $F$ of $G$ that each is isomorphic to $T$ (resp. to a connected subgraph of $T$) so that $G-F$ is disconnected. For $n$-dimensional hypercube $Q_{n}$, Lin et al. showed $\kappa (Q_{n};K_{1,1})=\kappa ^{s}(Q_{n};K_{1,1})=n-1$ and $\kappa (Q_{n};K_{1,r})=\kappa ^{s}(Q_{n};K_{1,r})=\lceil \frac{n}{2}\rceil $ for $2\leq r\leq 3$ and $n\geq 3$ (Lin, C.-K., Zhang, L.-L., Fan, J.-X. and Wang, D.-J. (2016) Structure connectivity and substructure connectivity of hypercubes. Theor. Comput. Sci., 634, 97–107). Sabir et al. obtained that $\kappa (Q_{n};K_{1,4})=\kappa ^{s}(Q_{n};K_{1,4})= \lceil \frac{n}{2}\rceil $ for $n\geq 6$ and for $n$-dimensional folded hypercube $FQ_{n}$, $\kappa (FQ_{n};K_{1,1})=\kappa ^{s}(FQ_{n};K_{1,1})=n$, $\kappa (FQ_{n};K_{1,r})=\kappa ^{s}(FQ_{n};K_{1,r})= \lceil \frac{n+1}{2}\rceil $ with $2\leq r\leq 3$ and $n\geq 7$ (Sabir, E. and Meng, J.(2018) Structure fault tolerance of hypercubes and folded hypercubes. Theor. Comput. Sci., 711, 44–55). They proposed an open problem of determining $K_{1,r}$-structure connectivity of $Q_n$ and $FQ_n$ for general $r$. In this paper, we obtain that for each integer $r\geq 2$, $\kappa (Q_{n};K_{1,r})$ $=\kappa ^{s}(Q_{n};K_{1,r})$ $=\lceil \frac{n}{2}\rceil $ and $\kappa (FQ_{n};K_{1,r})=\kappa ^{s}(FQ_{n};K_{1,r})= \lceil \frac{n+1}{2}\rceil $ for all integers $n$ larger than $r$ in quare scale. For $4\leq r\leq 6$, we separately confirm the above result holds for $Q_n$ in the remaining cases.
SS6: Online Short-Code RAID-6 Scaling by Optimizing New Disk Location and Data Migration
Authors: Yuan Zhu , You Xindong , Lv Xueqiang , Xie Ping 
Published: September 2021

Abstract
Thanks to excellent reliability, availability, flexibility and scalability, redundant arrays of independent (or inexpensive) disks (RAID) are widely deployed in large-scale data centers. RAID scaling effectively relieves the storage pressure of the data center and increases both the capacity and I/O parallelism of storage systems. To regain load balancing among all disks including old and new, some data usually are migrated from old disks to new disks. Owing to unique parity layouts of erasure codes, traditional scaling approaches may incur high migration overhead on RAID-6 scaling. This paper proposes an efficient approach based Short-Code for RAID-6 scaling. The approach exhibits three salient features: first, SS6 introduces $\tau $ to determine where new disks should be inserted. Second, SS6 minimizes migration overhead by delineating migration areas. Third, SS6 reduces the XOR calculation cost by optimizing parity update. The numerical results and experiment results demonstrate that (i) SS6 reduces the amount of data migration and improves the scaling performance compared with Round-Robin and Semi-RR under offline, (ii) SS6 decreases the total scaling time against Round-Robin and Semi-RR under two real-world I/O workloads (iii) the user average response time of SS6 is better than the other two approaches during scaling and after scaling.
Mean Error Rate Weighted Online Boosting Method
Authors: Honnikoll Nagaraj , Baidari Ishwar 
Published: September 2021

Abstract
Boosting is a generally known technique to convert a group of weak learners into a powerful ensemble. To reach this desired objective successfully, the modules are trained with distinct data samples and the hypotheses are combined in order to achieve an optimal prediction. To make use of boosting technique in online condition is a new approach. It motivates to meet the requirements due to its success in offline conditions. This work presents new online boosting method. We make use of mean error rate of individual base learners to achieve effective weight distribution of the instances to closely match the behavior of OzaBoost. Experimental results show that, in most of the situations, the proposed method achieves better accuracies, outperforming the other state-of-art methods.
Circadian rhythms in ischaemic heart disease: key aspects for preclinical and translational research: position paper of the ESC working group on cellular biology of the heart
Authors: Lecour Sandrine , Du Pré Bastiaan C , Bøtker Hans Erik , Brundel Bianca J J M , Daiber Andreas , Davidson Sean M , Ferdinandy Peter , Girao Henrique , Gollmann-Tepeköylü Can , Gyöngyösi Mariann , Hausenloy Derek J , Madonna Rosalinda , Marber Michael , Perrino Cinzia , Pesce Maurizio , Schulz Rainer , Sluijter Joost P G , Steffens Sabine , Van Linthout Sophie , Young Martin E , Van Laake Linda W 
Published: September 2021

Abstract
Circadian rhythms are internal regulatory processes controlled by molecular clocks present in essentially every mammalian organ that temporally regulate major physiological functions. In the cardiovascular system, the circadian clock governs heart rate, blood pressure, cardiac metabolism, contractility, and coagulation. Recent experimental and clinical studies highlight the possible importance of circadian rhythms in the pathophysiology, outcome, or treatment success of cardiovascular disease, including ischaemic heart disease. Disturbances in circadian rhythms are associated with increased cardiovascular risk and worsen outcome. Therefore, it is important to consider circadian rhythms as a key research parameter to better understand cardiac physiology/pathology, and to improve the chances of translation and efficacy of cardiac therapies, including those for ischaemic heart disease. The aim of this Position Paper by the European Society of Cardiology Working Group Cellular Biology of the Heart is to highlight key aspects of circadian rhythms to consider for improvement of preclinical and translational studies related to ischaemic heart disease and cardioprotection. Applying these considerations to future studies may increase the potential for better translation of new treatments into successful clinical outcomes.