bluuebunny/crossref_metadata_2025_split huggingface dataset:
Barriers, frameworks, and mitigating strategies influencing the dissemination and implementation of health promotion interventions in indigenous communities: a scoping review
Authors: Sacca Lea , Shegog Ross , Hernandez Belinda , Peskin Melissa , Rushing Stephanie Craig , Jessen Cornelia , Lane Travis , Markham Christine 
Published: February 2022

AbstractBackgroundMany Indigenous communities across the USA and Canada experience a disproportionate burden of health disparities. Effective programs and interventions are essential to build protective skills for different age groups to improve health outcomes. Understanding the relevant barriers and facilitators to the successful dissemination, implementation, and retention of evidence-based interventions and/or evidence-informed programs in Indigenous communities can help guide their dissemination.PurposeTo identify common barriers to dissemination and implementation (D&I) and effective mitigating frameworks and strategies used to successfully disseminate and implement evidence-based interventions and/or evidence-informed programs in American Indian/Alaska Native (AI/AN), Native Hawaiian/Pacific Islander (NH/PI), and Canadian Indigenous communities.MethodsA scoping review, informed by the York methodology, comprised five steps: (1) identification of the research questions; (2) searching for relevant studies; (3) selection of studies relevant to the research questions; (4) data charting; and (5) collation, summarization, and reporting of results. The established D&I SISTER strategy taxonomy provided criteria for categorizing reported strategies.ResultsCandidate studies that met inclusion/exclusion criteria were extracted from PubMed (n= 19), Embase (n= 18), and Scopus (n= 1). Seventeen studies were excluded following full review resulting in 21 included studies. The most frequently cited category of barriers was “Social Determinants of Health in Communities.” Forty-three percent of barriers were categorized in this community/society-policy level of the SEM and most studies (n= 12, 57%) cited this category. Sixteen studies (76%) used a D&I framework or model (mainly CBPR) to disseminate and implement health promotion evidence-based programs in Indigenous communities. Most highly ranked strategies (80%) corresponded with those previously identified as “important” and “feasible” for D&I The most commonly reported SISTER strategy was “Build partnerships (i.e., coalitions) to support implementation” (86%).ConclusionD&I frameworks and strategies are increasingly cited as informing the adoption, implementation, and sustainability of evidence-based programs within Indigenous communities. This study contributes towards identifying barriers and effective D&I frameworks and strategies critical to improving reach and sustainability of evidence-based programs in Indigenous communities.Registration numberN/A (scoping review)
Effect of tourniquet use on blood loss, pain, functional recovery, and complications in robot-assisted total knee arthroplasty: a prospective, double-blinded, randomized controlled trial
Authors: Lai Ya-hao , Xu Hong , Su Qiang , Wan Xu-feng , Yuan Ming-cheng , Zhou Zong-ke 
Published: February 2022

Abstract
Background
Robot-assisted total knee arthroplasty (TKA) has been largely studied to confirm its advantages in terms of accurate component positioning, microembolus formation, less blood loss, and so on, but is currently usually performed under tourniquet due to its longer operative time than conventional TKA. The aim of this study was to estimate the effects of tourniquet use in robot-assisted TKA on blood loss, pain, functional recovery, and complications.

Methods
Patients scheduled for robot-assisted TKA were prospectively randomized into a tourniquet or non-tourniquet group (each n = 14). The primary outcome measure was blood loss. The secondary outcome measures were operation time; visual analog scale (VAS) pain scores; time to achieve the first straight-leg raise; swelling of the thigh, knee, and calf; range of motion; Hospital for Special Surgery score; length of stay; and postoperative complications.

Results
There was no significant difference in total blood loss between the tourniquet and non-tourniquet groups (738.57 ± 276.158 vs. 866.85 ± 243.422 ml, P = 0.061). The tourniquet group showed significantly lower intraoperative blood loss (P < 0.001), but higher hidden blood loss (P = 0.002). The non-tourniquet group showed better knee range of motion on postoperative days (PODs) 1–3 (all P < 0.001), less thigh swelling on PODs 2 and 3 (P < 0.05), earlier straight-leg raising (P = 0.044), and shorter length of stay (P = 0.044). Thigh pain VAS score at 1 month after surgery was significantly greater in the tourniquet group (P < 0.001), as was knee pain during activity and at rest on PODs 2–3 (all P < 0.05). The tourniquet group also showed a significantly higher rate of tension blisters (28.8% vs. 7.1%, P = 0.038).

Conclusions
Tourniquet use during robot-assisted TKA does not reduce total blood loss, and it appears to increase postoperative pain, aggravate muscle injury, and prolong postoperative recovery.
Trial registration ChiCTR, ChiCTR2100041800. Registered 5 January 2021, http://www.chictr.org.cn/index.aspx.
Contamination detection in genomic data: more is not enough
Authors: Cornet Luc , Baurain Denis 
Published: February 2022

AbstractThe decreasing cost of sequencing and concomitant augmentation of publicly available genomes have created an acute need for automated software to assess genomic contamination. During the last 6 years, 18 programs have been published, each with its own strengths and weaknesses. Deciding which tools to use becomes more and more difficult without an understanding of the underlying algorithms. We review these programs, benchmarking six of them, and present their main operating principles. This article is intended to guide researchers in the selection of appropriate tools for specific applications. Finally, we present future challenges in the developing field of contamination detection.
The Medaka Inbred Kiyosu-Karlsruhe (MIKK) panel
Authors: Fitzgerald Tomas , Brettell Ian , Leger Adrien , Wolf Nadeshda , Kusminski Natalja , Monahan Jack , Barton Carl , Herder Cathrin , Aadepu Narendar , Gierten Jakob , Becker Clara , Hammouda Omar T. , Hasel Eva , Lischik Colin , Lust Katharina , Sokolova Natalia , Suzuki Risa , Tsingos Erika , Tavhelidse Tinatini , Thumberger Thomas , Watson Philip , Welz Bettina , Khouja Nadia , Naruse Kiyoshi , Birney Ewan , Wittbrodt Joachim , Loosli Felix 
Published: February 2022

Abstract
Background
Unraveling the relationship between genetic variation and phenotypic traits remains a fundamental challenge in biology. Mapping variants underlying complex traits while controlling for confounding environmental factors is often problematic. To address this, we establish a vertebrate genetic resource specifically to allow for robust genotype-to-phenotype investigations. The teleost medaka (Oryzias latipes) is an established genetic model system with a long history of genetic research and a high tolerance to inbreeding from the wild.

Results
Here we present the Medaka Inbred Kiyosu-Karlsruhe (MIKK) panel: the first near-isogenic panel of 80 inbred lines in a vertebrate model derived from a wild founder population. Inbred lines provide fixed genomes that are a prerequisite for the replication of studies, studies which vary both the genetics and environment in a controlled manner, and functional testing. The MIKK panel will therefore enable phenotype-to-genotype association studies of complex genetic traits while allowing for careful control of interacting factors, with numerous applications in genetic research, human health, drug development, and fundamental biology.

Conclusions
Here we present a detailed characterization of the genetic variation across the MIKK panel, which provides a rich and unique genetic resource to the community by enabling large-scale experiments for mapping complex traits.
Development and validation of liquid chromatography method for simultaneous determination of multiclass seven antibiotic residues in chicken tissues
Authors: Lakew Aynalem , Assefa Teshome , Woldeyohannes Meseret , Megersa Negussie , Chandravanshi Bhagwan Singh 
Published: February 2022

Abstract
Background
Antibiotics are routinely used on poultry for therapy and prevention of diseases and to enhance animal growth. The objective of this study was to develop and validate a sensitive and reliable liquid chromatography with UV detection (LC-UV) method for the simultaneous determination of seven multiclass antibiotic residues (amoxicillin, ampicillin, penicillin, sulfamethoxazole, gentamicin, ciprofloxacin, and erythromycin) in chicken tissues.

Methods
The liquid chromatography method with UV detection was optimized for complete separation of the seven selected antibiotic compounds with reversed phase and isocratic elution using Hypersil BDS-C18 (3 µm, 100 mm × 4 mm) column. The mobile phase consisted a ratio of 0.05 M Na2HPO4, acetonitrile and methanol (70:10:20), at UV absorption wavelength of 230 nm. The column thermostat was set at 40 °C, the mobile phase flow rate was 1 mL min−1, and the injection volume was 20 μL.

Results
All the seven standard compounds were eluted within 14 min. The results for: linearity, precision, sensitivity, accuracy, specificity, decision limit (CCα), detection capability (CCβ), suitability and method robustness were validated according to the criteria of Commission Decision 2002/657/EC guidelines. Calibration plot correlation coefficients ranged from 0.9983 to 0.9998 and the percent relative standard deviations for repeated analysis were below 5% indicating acceptable method precision. The limits of detection (LODs) and quantification (LOQs) ranged from 0.098–0.255 μg kg−1 to 0.297–0.574 μg kg−1, respectively. The accuracy study yielded recoveries in the ranges 98.1–107% for the pure compounds and 94.0–102% for the spiked drug free chicken tissue samples.

Conclusions
The method was found to be appropriate for simultaneous determination of five different classes of seven antibiotic residues in chicken tissues. Furthermore, this is the first instance for the simultaneous determination of seven multiclass, multi-residues analysis using LC-UV from chicken tissue samples. This is a cost-effective and alternative method with simple instrumentation approach for laboratories that lack highly specialized state-of-the-art instrumentation.
Between two stools: preclinical research, reproducibility, and statistical design of experiments
Authors: Reynolds Penny S. 
Published: February 2022

AbstractTranslation of animal-based preclinical research is hampered by poor validity and reproducibility issues. Unfortunately, preclinical research has ‘fallen between the stools’ of competing study design traditions. Preclinical studies are often characterised by small sample sizes, large variability, and ‘problem’ data. Although Fisher-type designs with randomisation and blocking are appropriate and have been vigorously promoted, structured statistically-based designs are almost unknown. Traditional analysis methods are commonly misapplied, and basic terminology and principles of inference testing misinterpreted. Problems are compounded by the lack of adequate statistical training for researchers, and failure of statistical educators to account for the unique demands of preclinical research. The solution is a return to the basics: statistical education tailored to non-statistician investigators, with clear communication of statistical concepts, and curricula that address design and data issues specific to preclinical research. Statistics curricula should focus on statistics as process: data sampling and study design before analysis and inference. Properly-designed and analysed experiments are a matter of ethics as much as procedure. Shifting the focus of statistical education from rote hypothesis testing to sound methodology will reduce the numbers of animals wasted in noninformative experiments and increase overall scientific quality and value of published research.
Nanoliposome-encapsulated phenolic-rich fraction from Alcea rosea as a dietary phytobiotic in mice challenged by Escherichia coli
Authors: Hassirian Niloofar , Karimi Ehsan , Oskoueian Ehsan 
Published: February 2022

Abstract
Purpose
This research was performed to evaluate the antibacterial and health-promoting potentials of nanoliposome-encapsulated phenolic-rich fraction (PRF) from Alcea rosea leaves, as a dietary phytobiotic, in mice as challenged by enteropathogenic Escherichia coli (E. coli; O157: H7).

Method
The PEF was encapsulated in nanoliposomes (PEF-NLs), and the phenolic profiling of PEF-NLs was confirmed by HPLC. Next, 40 white male balb/c mice were assigned to four treatment groups to assess the antibacterial potential of PEF-NLs by measuring the blood parameters and the liver’s lipid peroxidation in the mice as a result of the infection caused by E. coli. Finally, the expression of cyclooxygenase 2 (COX2), inducible nitric oxide synthase (iNOS), superoxide dismutase (SOD), and glutathione peroxidase (GPx) were determined in the miceʼs ileum tissues. A real-time PCR was used to analyze the relative fold changes in the population of E. coli in the ileum.

Results
The overall results demonstrated that the nanoliposome-loaded PRF contained gallic acid, salicylic acid, pyrogallol, cinnamic acid, catechin, naringin, and ferulic acid. The E. coli intervention impaired the mice's weight gain, food intake, liver enzymes, lipid peroxidation, and the ileum’s morphometric characteristics. The challenge also upregulated the inflammatory genes (COX2, iNOS), downregulated the antioxidant-related genes (SOD and GPx), and increased the population of E. coli in the ileum. The dietary inclusion of the nonencapsulated PRF and the nanoliposome-encapsulated PRF, at the concentration of 10 mg TPC/kg BW/day, improved these parameters. However, compared to nonencapsulated PRF, the nanoliposome-encapsulated PRF appeared to be more effective in improving the health parameters in mice.

Conclusion
As a promising phytobiotic, the nanoliposome-encapsulated PRF could play a critical role against the E. coli infection in mice probably due to the increase in the higher intestinal solubility, bioavailability, and absorption of phenolic compounds encapsulated in the nanoliposome carrier.
Optimization of the energy efficiency in Smart Internet of Vehicles assisted by MEC
Authors: Fu Jiafei , Zhu Pengcheng , Hua Jingyu , Li Jiamin , Wen Jiangang 
Published: February 2022

AbstractSmart Internet of Vehicles (IoV) as a promising application in Internet of Things emerges with the development of the fifth generation mobile communication (5G). Nevertheless, the heterogeneous requirements of sufficient battery capacity, powerful computing ability and energy efficiency for electric vehicles face great challenges due to the explosive data growth in 5G and the sixth generation of mobile communication (6G) networks. In order to alleviate the deficiencies mentioned above, this paper proposes a mobile edge computing (MEC) enabled IoV system, in which electric vehicle nodes upload and download data through an anchor node which is integrated with a MEC server. Meanwhile, the anchor node transmitters radio signal to electric vehicles with simultaneous wireless information and power transfer technology so as to compensate the battery limitation of eletric vehicles. Moreover, the spectrum efficiency is further improved by multi-input and multi-output and full-duplex technologies which is equipped at the anchor node. In consideration of the issues above, we maximize the average energy efficiency of electric vehicles by jointly optimize the CPU frequency, vehicle transmitting power, computing tasks and uplink rate. Since the problem is nonconvex, we propose a novel alternate interior-point iterative scheme (AIIS) under the constraints of computing tasks, energy consumption and time latency. Results and discussion section verifies the effectiveness of the proposed AIIS scheme comparing with the benchmark schemes.
Influence of occupant presence patterns on energy consumption and its relation to comfort: a case study based on sensor and crowd-sensed data
Authors: Rusek Robert , Melendez Frigola Joaquim , Colomer Llinas Joan 
Published: February 2022

Abstract
Background
In recent years, the monitoring of occupant presence patterns has become an imperative for building energy optimization. Very often, there is a significant discrepancy between the building energy performance predicted at the design stage and the actual performance rendered during the building operation. This stems from the difference in user occupancy. In spite of this, user interaction and feedback are rarely taken into account and evidence of the impact of occupant presence patterns on energy consumption is still scarce. Thus, the purpose of this study is to apply crowd-sensing techniques to understand how energy is consumed and how appropriate performance indicators should be defined to provide inputs for building operations regarding more efficient use of resources.

Methods
Monitoring strategies were implemented in an office lab with controlled variables to collect quantitative data on occupancy patterns, ambient factors and energy consumption. In addition, crowd-sensing techniques were applied to model user activity in different ambient conditions over time and to contrast their occupancy with energy consumption patterns in combination with new inquiry tools to identify how occupants perceive their comfort level. In addition, a set of energy efficiency indicators was used to compare energy performance over different periods.

Results
It was discovered that there is a strong relation between user occupancy patterns and energy consumption. However, more than 50% of energy was consumed when no user activity was registered. Energy performance indicators revealed that measuring energy efficiency in terms of kWh per surface area encourages a less efficient use of space and, therefore, including a coefficient of person hours is advisable. It was also discovered that users do not fully rely on feedback mechanisms and they prefer to take action to adapt the ambient conditions rather than simply expressing their opinion. Analysis of energy usage during the Covid-19 lock down revealed substantial use of energy contrary to what was expected. This was because home computers were used as terminals only, while the actual tasks were performed on the lab computers, using remote desktop connections, which were turned on 24/7. In addition, energy consumed by each employee at his/her home should be taken into account. Moreover, a set of practical recommendations was formulated.
Incidence and risk factors of surgical site infections and related antibiotic resistance in Freetown, Sierra Leone: a prospective cohort study
Authors: Lakoh Sulaiman , Yi Le , Sevalie Stephen , Guo Xuejun , Adekanmbi Olukemi , Smalle Isaac O. , Williams Nathaniel , Barrie Umu , Koroma Celesis , Zhao Yongkun , Kamara Matilda N. , Cummings-John Constance , Jiba Darlinda F. , Namanaga Enanga Sonia , Deen Betsy , Zhang Juling , Maruta Anna , Kallon Christiana , Liu Peng , Wurie Haja Ramatulai , Kanu Joseph Sam , Deen Gibrilla F. , Samai Mohamed , Sahr Foday , Firima Emmanuel 
Published: February 2022

Abstract
Background
There is limited information on surgical site infections (SSI) and the related antibiotic resistance needed to guide their management and prevention in Sierra Leone. In this study, we aimed to establish the incidence and risk factors of SSI and the related antibiotic resistance among adults attending a tertiary hospital, and a secondary health facility in Freetown, Sierra Leone.

Methods
This is a prospective cohort study designed to collect data from adult (18 years or older) patients who attended elective and emergency surgeries at two hospitals in Freetown between February and July, 2021. Data analysis was done using STATA version 16.

Results
Of 338 patients, 245 (72.5%) and 93 (27.5%) had their surgeries at the tertiary and secondary hospitals, respectively. Many were males 192 (56.8%), less than 35 years 164 (48.5%), and 39 (11.5%) developed an SSI. Of the 39 patients who acquired an SSI, 7 (17.9%) and 32 (82.1%) had their surgeries at the secondary and tertiary hospitals, respectively. The incidence of SSI is higher in contaminated 17 (43.6%) than in clean-contaminated 12 (30.8%) and clean 10 (25.6%) wounds. Wound swabs were collected in 29 (74.4%) patients, of which 18 (62.1%) had bacterial growth. In total, 49 isolates of 14 different bacteria including gram-negative 41 (83.7%) and gram-positive 8 (16.3%) isolates were identified. Of these, 32 (65.3%) were Enterobacteriaceae, 9 (18.4%) were Non-fermenting gram-negative bacilli and 10 (12.2%) were Enterococci. The most common isolates were Escherichia coli (12, 24.5%), Klebsiella pneumoniae (10, 20.4%), Acinetobacter baumannii (5, 10.2%), Klebsiella oxytoca (4, 8.2%) and Enterococcus faecalis (4, 8.2%). The Enterobacteriaceae were either resistance to carbapenems (4, 8.2%) or were extended-spectrum beta-lactamase (ESBL) producing organisms (29, 59.2%). Male sex [p = 0.031], an ASA score ≥ 2 [p = 0.020), administration of general anaesthesia [p = 0.018] and elevated fasting glucose [p = 0.033] were predictive of SSI.

Conclusion
The incidence of SSI in this study is comparable to other low- and middle-income countries, but a substantial proportion of these postoperative wounds have an ESBL-producing Enterobacteriaceae. Therefore, routine surveillance of SSI and related antibiotic resistance is required in resource-limited settings.
Laboratory Investigation into the Flexural Behavior of Embedded Concrete Sleepers in Two-Stage Concrete with Preplaced Ballast Aggregate
Authors: Esmaeili Morteza , Amiri Hamid 
Published: February 2022

AbstractThe conversion of ballasted railway tracks into slab tracks using the preplaced aggregate concrete (PAC) technology over the bridges and in the tunnels has been introduced by many researchers but the flexural behavior of this composite system has not yet been studied. Therefore, in the first stage, a series of mortar and concrete mixture designs were proposed and evaluated. Subsequently, a concrete beam mold with dimensions of 3 * 0.6 * 0.5 m, which represented the track conditions, was developed and the bending behavior of the constructed beams in both conditions of the presence and absence of the concert B70 sleeper were investigated. The maximum bending force in the middle of the concrete beam without a sleeper (SE) equaled 177.5 kN. In addition, the average values of bending tolerance by the sleeper including a PAC beam for three specimens in the four modes of the positive moment of midspan (SPM), negative moment of midspan (SNM), positive moment of rail seat (SPR), and negative moment of rail seat (SNR) were 55.25 kN m, 32.5 kN m, 91.84 kN m, and 38.21 kN m, respectively, which met the requirements of the AREMA regulations.