bluuebunny/crossref_metadata_2025_split huggingface dataset:
Theoretical and practical recommendations on selection of municipal solid waste landfill sites with the subsequent reclamation of disturbed lands in the Konstantinovskiy District, Amur Region
Authors: Popova E V , Stekolnikova G A 
Published: August 2020

Abstract
The study in hand confirms that the basic strategy of MSW management is landfilling, not recycling. Drawing from the results of the dimensional multiple factor analysis of region-specific characteristics, the authors provide recommendations on selecting MSW landfill sites and their subsequent reclamation for the Konstantinovskiy District, Amur Region.
Method of analysis of floral lists of higher plants
Authors: Ryabukhin S I 
Published: August 2020

Abstract
Quantitative methods for analyzing data on living objects are an essential tool for research and modeling the state, stability, and productivity of ecological systems. In this paper, we consider one of the approaches that is useful for quantitative analysis, namely, when the initial information about living objects (in particular, about vascular plants) is presented in the form of descriptions of floral spectra that differ in structure and content (namely, lists of plant species). The proposed approach is based on the application of first-order predicate logic and is intended for the purpose of studying the species richness of plants in ecosystems.
Agroecological techniques for protecting soybean crops from phytopathogens
Authors: Tishkova A G 
Published: August 2020

Abstract
The aim of this research was to study the influence of biofungicides and growth regulators on protecting soybean crops from fungal diseases, allowing the production of environmentally friendly and high-quality products. The main pathogens of soy diseases in the Khabarovsk territory are root rot and leaf-stem infections. The means of protection applied in this study reduced the intensity of development of these diseases. The greatest biological effectiveness against root rot was found when the drugs Zircon, Bisolbifit and Tetramethylthiuram Disulfide (TMTD) with Optimo were used. The use of Zircon, Extrasol and Nutri-Phite with water softener Spartan reduced the infection of soy plants with leaf-stem diseases. With these protection systems, the yield level ranged from 3.62 to 3.88 t/ha.
Ecological stability of triticale samples in the conditions of the Khabarovsk territory
Authors: Zenkina K V 
Published: August 2020

Abstract
The new grain crop triticale is of great interest for cultivation in the soil and climatic conditions of the middle Amur Region; therefore, this study assessed the environmental stability of yield formation for a collection of triticale samples. The varieties with the maximum yields identified in the study were the following: AC Certa (Canada), Lana (Belarus), Dagvo (Russia), Golden Scallop (Russia), Ulyana (Belarus), Uzor (Belarus), Lotos (Belarus), Mykola (Ukraine), Victoria (Ukraine), Sandio (Switzerland), Wanad (Poland) and Yarik (Russia). The AC Certa (Canada) variety was characterised by high demands on growing conditions (St2 = 0.69, A = 30.03) and unstable yield (1.8-7.0 t/ha). The Victoria (Ukraine) variety was characterised by high ecological stability of yield (St2 = 0.99, A = 27.45) in various years (2.5-3.1 t/ha). Results indicated that the yield formation of the collection samples were strongly dependent on weather conditions (R=0.554). Lastly, a model of spring triticale yield formation dependent on weather factors was constructed using regression analysis. The most significant climatic factor was photosynthetically active radiation during the active vegetation period
The Cycle of Daily Stress and Sleep: Sleep Measurement Matters
Authors: Slavish Danica C , Asbee Justin , Veeramachaneni Kirti , Messman Brett A , Scott Bella , Sin Nancy L , Taylor Daniel J , Dietch Jessica R 
Published: August 2020

Abstract

Background
Disturbed sleep can be a cause and a consequence of elevated stress. Yet intensive longitudinal studies have revealed that sleep assessed via diaries and actigraphy is inconsistently associated with daily stress.

Purpose
We expanded this research by examining daily associations between sleep and stress using a threefold approach to assess sleep: sleep diaries, actigraphy, and ambulatory single-channel electroencephalography (EEG).

Methods
Participants were 80 adults (mean age = 32.65 years, 63% female) who completed 7 days of stressor and sleep assessments. Multilevel models were used to examine bidirectional associations between occurrence and severity of daily stress with diary-, actigraphy-, and EEG-determined sleep parameters (e.g., total sleep time [TST], sleep efficiency, and sleep onset latency, and wake after sleep onset [WASO]).

Results
Participants reported at least one stressor 37% of days. Days with a stressor were associated with a 14.4-min reduction in actigraphy-determined TST (β = −0.24, p = 0.030), but not with other actigraphy, diary, or EEG sleep measures. Nights with greater sleep diary-determined WASO were associated with greater next-day stressor severity (β = 0.01, p = 0.026); no other diary, actigraphy, or EEG sleep measures were associated with next-day stressor occurrence or severity.

Conclusions
Daily stress and sleep disturbances occurred in a bidirectional fashion, though specific results varied by sleep measurement technique and sleep parameter. Together, our results highlight that the type of sleep measurement matters for examining associations with daily stress. We urge future researchers to treat sleep diaries, actigraphy, and EEG as complementary—not redundant—sleep measurement approaches.
Semantic similarity and machine learning with ontologies
Authors: Kulmanov Maxat , Smaili Fatima Zohra , Gao Xin , Hoehndorf Robert 
Published: August 2020

AbstractOntologies have long been employed in the life sciences to formally represent and reason over domain knowledge and they are employed in almost every major biological database. Recently, ontologies are increasingly being used to provide background knowledge in similarity-based analysis and machine learning models. The methods employed to combine ontologies and machine learning are still novel and actively being developed. We provide an overview over the methods that use ontologies to compute similarity and incorporate them in machine learning methods; in particular, we outline how semantic similarity measures and ontology embeddings can exploit the background knowledge in ontologies and how ontologies can provide constraints that improve machine learning models. The methods and experiments we describe are available as a set of executable notebooks, and we also provide a set of slides and additional resources at https://github.com/bio-ontology-research-group/machine-learning-with-ontologies.
To Deal with a New Coronavirus Pandemic: Making Sense of the Lack of Any State Practice in Pursuing State Responsibility for Alleged Malfeasances in a Pandemic—Lex Specialis or Lex Generalis at Work?
Authors: Yee Sienho 
Published: August 2020

Abstract
There has never been any State practice in pursuing State responsibility for alleged malfeasances in pandemics. What effect does this absence of practice have on the framework of applicable law regarding this pursuit of State responsibility? How can we make sense of this absence in the context of global public health? One way would be to see the absence as reflecting a lex specialis providing for no State responsibility for any alleged malfeasances; another as reflecting States’ assessment that there is no or slight chance of success even under a lex generalis not excluding potential responsibility. The former appears more consonant with the uniform lack of practice in pursuing State responsibility over the long course of history of dealing with pandemics. If there can be a better state of affairs, it will be up to States to search for it and to bring it to fruition in the future.
Changes in Cytomegalovirus Seroprevalence Among U.S. Children Aged 1–5 Years: The National Health and Nutrition Examination Surveys
Authors: Petersen Molly R , Patel Eshan U , Abraham Alison G , Quinn Thomas C , Tobian Aaron A R 
Published: August 2020

Abstract
Data from the cross-sectional National Health and Nutrition Examination Surveys (NHANES) indicate that the seroprevalence of cytomegalovirus immunoglobulin G (IgG) antibodies among US children aged 1–5 years was 20.7% (95% confidence interval [CI]: 14.0, 29.0) in 2011–2012 and 28.2% (95% CI: 23.1–34.0) in 2017–2018 (adjusted prevalence difference, +7.6% [95% CI: −.4, +15.6]).
Safety and Efficacy of Rifampin or Isoniazid Among People With Mycobacterium tuberculosis Infection and Living With Human Immunodeficiency Virus or Other Health Conditions: Post Hoc Analysis of 2 Randomized Trials
Authors: Campbell Jonathon R , Al-Jahdali Hamdan , Bah Boubacar , Belo Marcia , Cook Victoria J , Long Richard , Schwartzman Kevin , Trajman Anete , Menzies Dick 
Published: August 2020

Abstract

Background
The safety and efficacy of rifampin among people living with human immunodeficiency virus (PLHIV) or other health conditions is uncertain. We assessed completion, safety, and efficacy of 4 months of rifampin vs 9 months of isoniazid among PLHIV or other health conditions.

Methods
We conducted post hoc analysis of 2 randomized trials that included 6859 adult participants with Mycobacterium tuberculosis infection. Participants were randomized 1:1 to 10 mg/kg/d rifampin or 5 mg/kg/d isoniazid. We report completion, drug-related adverse events (AE), and active tuberculosis incidence among people living with HIV; with renal failure or receiving immunosuppressants; using drugs or with hepatitis; with diabetes mellitus; consuming &gt;1 alcoholic drink per week or current/former smokers; and with no health condition.

Results
Overall, 270 (3.9%) people were living with HIV (135 receiving antiretroviral therapy), 2012 (29.3%) had another health condition, and 4577 (66.8%) had no condition. Rifampin was more often or similarly completed to isoniazid in all populations. AEs were less common with rifampin than isoniazid among PLHIV (risk difference, −2.1%; 95% confidence interval [CI], −5.9 to 1.6). This was consistent for others except people with renal failure or on immunosuppressants (2.1%; 95% CI, −7.2 to 11.3). Tuberculosis incidence was similar among people receiving rifampin or isoniazid. Among participants receiving rifampin living with HIV, incidence was comparable to those with no health condition (rate difference, 4.1 per 1000 person-years; 95% CI, −6.4 to 14.7).

Conclusions
Rifampin appears to be safe and as effective as isoniazid across many populations with health conditions, including HIV.

Clinical Trials Registration
NCT00170209; NCT00931736.
Cognitive impairment in patients with moderate to severe chronic kidney disease: the Salford kidney cohort study
Authors: Tollitt James , Odudu Aghogho , Montaldi Daniela , Kalra Philip A 
Published: August 2020

Abstract

Background
Cognitive impairment in chronic kidney disease (CKD) is common and underrecognized [1, 2]. Determining risk factors for cognitive impairment and whether speed of CKD progression is an important consideration may help identify cognitive impairment by nephrologists. Vascular disease is thought to underpin cognitive impairment in CKD and by segregating CKD patients with proven vascular disease, we may also be able to discover other important associations with cognitive impairment in CKD patients.

Method
A total of 250 patients in a UK prospective cohort of CKD patients underwent two cognitive assessments: Montreal Cognitive Assessment test and Trail Making Test. Cognitive impairment was defined using validated population cut-offs (cognitive impairment) and relative cognitive impairment. Relative cognitive impairment was defined by &lt;1 standard deviation below the mean Z-score on any completed test. Two multivariable logistical regression models identified variables associated with cognitive impairment and realtive cognitive impairment.

Results
About 44 and 24.8% of patients suffered cognitive impairment and relative cognitive impairment, respectively. Depression, previous stroke and older age were significantly associated with cognitive impairment. Older age was significantly associated with relative cognitive impairment (P ≤ 0.05) and higher proteinuria and the use of psychodynamic medications were also significantly associated with relative cognitive impairment (P = 0.05). Delta estimated glomerular filtration rate (eGFR) in patients with cognitive impairment and relative cognitive impairment compared with those having normal cognition was similar (−0.77 versus −1.35 mL/min/1.73 m2/year, P = 0.34 for cognitive impairment and −1.12 versus −1.02 mL/min/1.73 m2/year, P = 0.89 for relative cognitive impairment).

Conclusion
Risk factors for cognitive impairment in CKD include previous stroke, depression or anxiety, higher proteinuria and prescription of psychodynamic medications. Patients with a faster eGFR decline do not represent a group of patients at increased risk of cognitive impairment.
Motif discovery algorithms in static and temporal networks: A survey
Authors: Jazayeri Ali , Yang Christopher C 
Published: August 2020

AbstractMotifs are the fundamental components of complex systems. The topological structure of networks representing complex systems and the frequency and distribution of motifs in these networks are intertwined. The complexities associated with graph and subgraph isomorphism problems, as the core of frequent subgraph mining, directly impact the performance of motif discovery algorithms. Researchers have adopted different strategies for candidate generation and enumeration and frequency computation to cope with these complexities. Besides, in the past few years, there has been an increasing interest in the analysis and mining of temporal networks. In contrast to their static counterparts, these networks change over time in the form of insertion, deletion or substitution of edges or vertices or their attributes. In this article, we provide a survey of motif discovery algorithms proposed in the literature for mining static and temporal networks and review the corresponding algorithms based on their adopted strategies for candidate generation and frequency computation. As we witness the generation of a large amount of network data in social media platforms, bioinformatics applications and communication and transportation networks and the advance in distributed computing and big data technology, we also conduct a survey on the algorithms proposed to resolve the CPU-bound and I/O bound problems in mining static and temporal networks.
LAMP2: a major update of the database linking antimicrobial peptides
Authors: Ye Guizi , Wu Hongyu , Huang Jinjiang , Wang Wei , Ge Kuikui , Li Guodong , Zhong Jiang , Huang Qingshan 
Published: August 2020

Abstract
Antimicrobial peptides (AMPs) have been regarded as a potential weapon to fight against drug-resistant bacteria, which is threating the globe. Thus, more and more AMPs had been designed or identified. There is a need to integrate them into a platform for researchers to facilitate investigation and analyze existing AMPs. The AMP database has become an important tool for the discovery and transformation of AMPs as agents. A database linking antimicrobial peptides (LAMPs), launched in 2013, serves as a comprehensive tool to supply exhaustive information of AMP on a single platform. LAMP2, an updated version of LAMP, holds 23 253 unique AMP sequences and expands to link 16 public AMP databases. In the current version, there are more than 50% (12 236) sequences only linking a single database and more than 45% of AMPs linking two or more database links. Additionally, updated categories based on primary structure, collection, composition, source and function have been integrated into LAMP2. Peptides in LAMP2 have been integrated in 8 major functional classes and 38 functional activities. More than 89% (20 909) of the peptides are experimentally validated peptides. A total of 1924 references were extracted and regarded as the evidence for supporting AMP activity and cytotoxicity. The updated version will be helpful to the scientific community.
Ongoing customization in project-based organizations
Authors: Choi Seungho , Miller Kent D. 
Published: August 2020

AbstractThis study examines the processes and structures that enable organizations to generate repeatedly and efficiently customized solutions for clients. Case studies of project-based firms reveal that these organizations develop and employ routines to generate customized solutions. Analysis of these cases reveals two different approaches toward project management across organizations. The structural approach relies on managerial and formal processes guided by project leaders. The relational approach is based on social and informal mechanisms arising from project participants’ collaborative work experience. The stability and flexibility of routines enable organizations to carry out repeated patterns of action producing customized solutions. Deliberate learning builds a capability for managing the tension between stability and change in routines by transferring project-level experiences to organization-level routines for subsequent use across projects.
The Missing Picture: Accounting for Sexual and Gender-Based Violence during Cambodia’s ‘Other’ Conflict Periods
Authors: Kochanski Adam 
Published: August 2020

Abstract
Local transitional justice (TJ) processes have performed an invaluable function in raising awareness about conflict-related sexual and gender-based violence. While locally-rooted praxis has been increasingly suggested as an alternative to the top-down approach to TJ, which is prone to interference, this article argues that well-intentioned local initiatives can also be distorted through discursive framing tactics that set boundaries on discussions of conflict-related events and obfuscate who can be deemed responsible. In Cambodia, this has meant a partial account of sexual and gender-based violence—one that is limited to the three-year, eight-month and 20-day rule of the Khmer Rouge, and that marginalizes survivor experiences from other episodes of the 30-year-long internal conflict. This article explores and traces the unintended consequences of this discursive frame on three local TJ efforts to address the legacy of conflict-related sexual and gender-based violence: forum theatre, women’s hearings and testimonial therapy.
Severe Acute Respiratory Syndrome Coronavirus 2 Neutralizing Antibody Titers in Convalescent Plasma and Recipients in New Mexico: An Open Treatment Study in Patients With Coronavirus Disease 2019
Authors: Bradfute Steven B , Hurwitz Ivy , Yingling Alexandra V , Ye Chunyan , Cheng Qiuying , Noonan Timothy P , Raval Jay S , Sosa Nestor R , Mertz Gregory J , Perkins Douglas J , Harkins Michelle S 
Published: August 2020

Abstract

Background
Convalescent plasma (CP) is a potentially important therapy for coronavirus disease 2019 (COVID-19). However, knowledge regarding neutralizing antibody (NAb) titers in donor plasma and their impact in patients with acute COVID-19 remains largely undetermined. We measured NAb titers in CP and in patients with acute COVID-19 before and after transfusion through the traditional Food and Drug Administration investigational new drug pathway.

Methods
We performed a single-arm interventional trial measuring NAb and total antibody titers before and after CP transfusion over a 14-day period in hospitalized patients with laboratory-confirmed severe acute respiratory syndrome coronavirus 2 infection.

Results
NAb titers in the donor CP units were low (&lt;1:40 to 1:160) and had no effect on recipient neutralizing activity 1 day after transfusion. NAb titers were detected in 6 of 12 patients on enrollment and in 11 of 12 at ≥2 time points. Average titers peaked on day 7 and declined toward day 14 (P = .004). Nab titers and immunoglobulin G levels were correlated in donor plasma units (ρ = 0.938; P &lt; .001) and in the cumulative patient measures (ρ = 0.781; P &lt; .001).

Conclusions
CP infusion did not alter recipient NAb titers. Prescreening of CP may be necessary for selecting donors with high titers of neutralizing activity for infusion into patients with COVID-19.

Clinical Trials Registration
NCT04434131.
Multi-Platform Comparison of SARS-CoV-2 Serology Assays for the Detection of COVID-19
Authors: Suhandynata Raymond T , Hoffman Melissa A , Kelner Michael J , McLawhon Ronald W , Reed Sharon L , Fitzgerald Robert L 
Published: August 2020

Abstract

Background
COVID-19 is caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), a novel beta-coronavirus that is responsible for the 2019 coronavirus pandemic. Acute infections should be diagnosed by polymerase chain reaction (PCR) based tests, but serology tests can demonstrate previous exposure to the virus.

Methods
We compared the performance of the Diazyme, Roche, and Abbott SARS-CoV-2 serology assays using 179 negative participants to determine negative percentage agreement (NPA) and in 60 SARS-CoV-2 PCR-confirmed positive patients to determine positive percentage agreement (PPA) at 3 different time frames following a positive SARS-CoV-2 PCR result.

Results
At ≥15 days, the PPA (95% CI) was 100 (86.3–100)% for the Diazyme IgM/IgG panel, 96.0 (79.7–99.9)% for the Roche total Ig assay, and 100 (86.3–100)% for the Abbott IgG assay. The NPA (95% CI) was 98.3 (95.2–99.7)% for the Diazyme IgM/IgG panel, 99.4 (96.9–100)% for the Roche total Ig assay, and 98.9 (96.0–99.9)% for the Abbott IgG assay. When the Roche total Ig assay was combined with either the Diazyme IgM/IgG panel or the Abbott IgG assay, the positive predictive value was 100% while the negative predictive value remained greater than 99%.

Conclusions
Our data demonstrates that the Diazyme, Roche, and Abbott SARS-CoV-2 serology assays have similar clinical performances. We demonstrated a low false-positive rate across all 3 platforms and observed that false positives observed on the Roche platform are unique compared to those observed on the Diazyme or Abbott assays. Using multiple platforms in tandem increases the PPVs, which is important when screening populations with low disease prevalence.