bluuebunny/crossref_metadata_2025_split huggingface dataset:
The feasibility of physical activity interventions for older adults living with and beyond carcinomas: a systematic review and meta-analysis
Authors: Dulai-Piper Anne E , Devonport Tracey J , Fenton Sally A M , Shanley Hazel A , Mawn Ryan G , Thorp Sara L , Metsios George S , Morrissey Hana , Blake Marcia , Lahart Ian M 
Published: September 2023

Abstract
Background
Older adults are increasingly being diagnosed with and surviving cancers, which can profoundly impact quality of life (QoL). Evidence suggests physical activity interventions can help manage the side effects of cancer and its treatment, and therefore improve QoL. However, older adults are often poorly represented within physical activity and cancer-related research, being excluded because of secondary cancers, comorbidities, and frailty. Therefore, the feasibility of such interventions still requires further investigation. The aim of this systematic review was to investigate the feasibility of physical activity interventions specifically designed for older adults living with and beyond carcinoma cancers.
Methods
This systematic review included feasibility and pilot studies investigating physical activity interventions for older adults (aged ≥ 65 years) living with or beyond any carcinoma, and at any stage of cancer and treatment. Feasibility outcomes were categorised under four metrics (process, resource, management, scientific) and Synthesised Without Meta-analysis according to published guidelines (SWiM). A meta-analysis was performed on four studies with physical activity outcome. The reporting quality of studies was reviewed using the consolidated standards of reporting trials extension for randomised pilot and feasibility studies.
Results
This current review included 19 studies and 571 participants and revealed that physical activity interventions are feasible for older adults living with or beyond carcinomas, based on adherence, participant-reported acceptability, retention, and safety. It was, however, identified that recruitment was a challenge, with a median of 73% (range 11–100%) eligible for recruitment whilst a median of 58% (range 3-100%) were recruited. It was further found that several feasibility outcomes had limited to no reporting (e.g., intervention fidelity), especially concerning resource and management metrics. Finally, only 8 studies included pre-specified criteria of success which is a key element in assessing if a study was feasible or not based on the criteria set.
Conclusions
Physical activity interventions are feasible for older adults living with or beyond carcinoma cancers. However, the reporting of feasibility outcomes could be improved to inform future research methodologies, and ultimately improve certainty in study feasibility.
Registration: This current systematic review was pre-registered on PROSPERO (CRD42022343724). The full protocol is on the open science framework https://osf.io/qpagz/.
Analysis and management of residual risks in the construction industry with the help of Gray and Fuzzy optimization methods
Authors: Shojaie Amir abbas , Khalili Navid Farshbaf 
Published: September 2023

Abstract
Risks are a part of the activities of organizations and the analysis should be done based on the frequency of that risk and the degree of its threat. These strategies help to minimize the possibility of their recurrence in the future and also to reduce potential damages. It is natural that all the risks of the organization cannot be contained or controlled, and from the economic point of view, controlling all the risks is not cost-effective because the organization can accept some risks within the limits of its risk appetite. The construction industry is one of the arteries of the country's economy, according to statistics, most accidents and damages in the area of ​​risk and non-compliance with standards occur in it, and it incurs a lot of costs. In this research, we first distributed two questionnaires among 15 statistical samples who were active in the construction industry and the risk field in the Sabzabari project, and then, with the help of Shannon entropy and the SAW method, 30 risks in the design and implementation department which was obtained from the meeting with experts and supervisors, weighted and ranked by two fuzzy and gray methods, and then with the help of information from the questionnaires, the third mode ranking was done with the risk matrix method and with the help of Matlab and SPSS results were compared. The final results showed that the ranking of fuzzy and gray methods is closer to each other and these two methods have higher accuracy in calculations.
Procalcitonin and C-reactive Protein as Diagnostic Biomarkers in COVID-19 and Non-COVID Sepsis Patients: A Comparative Study
Authors: Zhang Shi-Yan , Shi Jing , Zhuo Ying , Wang Tingqiang , Lv Chun-e , Yan Ling-Hui 
Published: September 2023

Abstract
Background: to compare procalcitonin (PCT) and C-reactive protein (CRP) between COVID-19 sepsis patients and non-COVID control subjects (CNT), and to evaluate the diagnostic efficiency of PCT and CRP in distinguishing between Gram-positive (GP) and Gram-negative (GN) bacterial infections and their association with specific pathogens.
Methods: A total of 121 consecutive patients who underwent blood culture testing during the COVID-19 epidemic were included in the study. PCT and CRP were measured, and reverse transcriptase-polymerase chain reaction (RT-PCR) was used to detect COVID-19 nucleic acid. PCT and CRP were compared between two groups using the Mann-Whitney U-test. Receiver operating characteristic (ROC) curve comparing PCT and CRP levels in GN group versus GP group was performed to assess the diagnostic efficiency. Specific pathogen groups on PCT concentrations were evaluated by Kruskal-Wallis H test.
Results: A total of 121 bloodstream infection inpatients were categorized into a COVID-19 patient group (n=25) and CNT group (n=96). There were no significant differences in age and gender between the COVID-19 and CNT groups. The comparison of biomarkers between these groups showed no significant differences, except for CRP (p = 0.051). The optimal cut-off values for PCT and CRP in differentiating between GP and GN infections were 1.03 ng/mL and 34.02 mgL, respectively. The area under the ROC curve was 0.689 (95% confidence interval (CI) 0.591 - 0.786) for PCT and 0.611(95% CI 0.505 - 0.717) for CRP. The diagnostic accuracy was 74.05% for PCT and 58.69% for CRP. The study found a significant difference in PCT levels among specific groups of pathogens (p < 0.001), with the highest levels observed in Escherichia Coli. The frequency of Staphylococcus SPP. positive results was significantly higher (36.0%) in COVID-19 patients compared to the control group (p = 0.047).
Conclusion: Sepsis patients with COVID-19 had a significantly higher culture positivity of staphylococcus SPP. than the CNT group. PCT and CRP showed moderate diagnostic efficiency in differentiating between GP and GN bacterial infections. PCT may be more useful in identifying Escherichia coliinfections.
Using image texture to monitor the growth and settling of flocs
Authors: Ma Qidong , Liu Yan , He Zhangwei , Wang Haiguang , Wang Ruolan , Kong Yueping , Li Zhihua 
Published: September 2023

Abstract

Currently, a reliable and easy-to-use method to monitor flocculation in the water treatment process is highly demanded, especially for small water purification stations. For this problem, in situ images were used to analyze the flocculation process under different conditions via jar tests. A texture feature of the gray level co-occurrence matrix was found to be helpful for monitoring the floc status, such as growth rate and settling velocity. To further verify this finding, we established the correlation between the texture time sequence curve (TTSC) and its corresponding floc status. The slope of the TTSC during the growth phase and during the settling phase can describe the growth rate and the settling velocity, respectively, i.e., the higher the slope, the higher the growth rate and settling velocity. In addition, significant differences between the TTSCs in various abnormal conditions and the normal condition of coagulation can be identified. By using the TTSC for detecting abnormal conditions, we again verified that the texture feature can reliably reflect the flocculation process. Our study helps to develop a low-cost, stable, and simple method for monitoring flocculation and detecting abnormal conditions, which can effectively be used in the operation and management of water treatment plants.
Discriminant analysis of the freeze-up and break-up conditions in the Inner Mongolia Reach of the Yellow River
Authors: Hou Zhixing , Wang Jun , Sui Jueyi , Li Guowei , Zhang Baosen , Zhou Liangguang 
Published: September 2023

Abstract

This study divided the total storage potential in a natural channel into the ice production volume and the water storage capacity volume. Thermal factors, hydraulic processes, topography, and ice formation were selected to derive a discriminant equation for freeze-up and break-up conditions in the Inner Mongolia Reach of the Yellow River. The trends observed from data for the freeze-up dates, break-up dates, and total frozen days from 2017 to 2020 conform to the principle that the river is gradually frozen from the downstream to the upstream and later thawed from the upstream to the downstream. The number of frozen days in the downstream is greater than in the upstream. Results indicate that freeze-up typically occurs when the proportion of ice in the channel is relatively high. Higher temperatures and greater discharges are required to facilitate the break-up of the river when the equilibrium ice thickness is greater. This study can provide a theoretical basis and framework for establishing an accurate freeze-up and break-up forecast model to prevent and mitigate ice-induced disasters.
Hydrological response of a headwater catchment in the semi-arid Andes (30°S) to climate change
Authors: Yáñez San Francisco Eduardo , Pascual Aguilar Juan Antonio , MacDonell Shelley 
Published: September 2023

AbstractGlobally, climate change has caused a significant reduction in snow cover in mountainous regions. To understand the impact of present and future snow changes on runoff in the semi-arid Andes, we applied the Hydro-BID hydrological model and associated datasets to the headwaters of the Elqui River basin (30°S) for current conditions and two Shared Socioeconomic Pathway (SSP) scenarios. Results show that model calibration at daily, monthly and annual time scales (R2 0.7, 0.7 and 0.8) and validation (R2 0.6, 0.7 and 0.7) were satisfactory. Future climate change scenario SSP2-4.5 indicates for 2040–2059, 2060–2079 and 2080–2099 temperature increases of 1.2, 1.6 and 1.9 °C and precipitation reductions of 26%, 29% and 36%. Discharge for SSP2-4.5 will reduce (the average annual flow decreases by 54%, 58% and 66%). For the same periods, SSP5-8.5 projects temperature increases of 1.5, 2.6 and 3.7 °C and precipitation reductions of 28%, 39% and 44%. Compared with SSP2-4.5, river discharge will experience a more acute reduction (projected annual decrease of 57%, 70% and 77%). Model results indicate that the maximum flow will be reached three months earlier than today. Results reinforce the importance of snow for runoff in the semi-arid Andes and the applicability of Hydro-BID in mountainous regions.
ECHIDNA (Emerging CHemIcals Database for National Awareness): a framework to prioritise contaminants of emerging concern in water
Authors: Neale Peta Anne , Melvin Steven D. , Hancock Marty , Leusch Frederic D. L. 
Published: September 2023

Abstract

The widespread presence of contaminants of emerging concern (CEC) in surface waters, treated wastewater and drinking water is an ongoing issue for the water industry. The absence of regulatory guidance and limited occurrence, toxicity and removal data are defining criteria of CEC and make it difficult to prioritise which CEC pose the greatest risk. The online Emerging CHemIcals Database for National Awareness (ECHIDNA) aims to classify and prioritise CEC based on their potential risk, with the information presented in an easily accessible and intuitive manner. A candidate list of almost 1,800 potential CEC, including pesticides, pharmaceuticals and industrial compounds, was compiled using both Australian and international resources. These were ranked based on in silico assessment of their persistent, bioaccumulative and toxic (PBT) properties, as well as potential chronic toxicity hazard, yielding 247 CEC for further prioritisation. Risk Quotients (RQ) identified between 5 and 87 CEC posing a risk to human and ecosystem health, respectively, across drinking water, surface water, treated wastewater and raw wastewater. While the ability of the water industry to effectively prioritise CEC is limited by candidate identification and data availability, ECHIDNA can provide valuable information for better decision-making surrounding CEC management.
Permeate quality, advanced oxidation process treatability, and cost for two concentrate treatment technologies to enhance recovery for potable reuse
Authors: Gu Han , Polanco Julio , Ishida Kenneth P. , Plumlee Megan H. , Boyd Michael , Desormeaux Erik , Juby Graham J. G. , Shad Mojtaba Farrokh 
Published: September 2023

Abstract

Closed circuit reverse osmosis (CCRO) and forward osmosis-RO (FO-RO) were evaluated at a pilot scale to generate additional permeate from RO concentrate – achieving a recovery of 61% for CCRO and 35% for FO-RO – at a full-scale advanced water purification facility. This study assessed permeate water quality, suitability of the permeate for treatment by an ultraviolet-advanced oxidation process (UV-AOP), and cost/footprint for a conceptual 10- or 20-mgd system. Both technologies demonstrated inorganic, organic, and microbiological constituent removal suitable for blending with primary RO permeate. Virus challenge testing with MS coliphage demonstrated ≥3.7-log removal by both technologies. Pilot-scale UV/hydrogen peroxide AOP treatment of CCRO or FO-RO permeate yielded similar performance (∼1.4-log N-nitrosodimethylamine removal and ∼0.5-log 1,4-dioxane removal) as the full-scale UV-AOP that treats the RO permeate from the purification facility. The estimated full-scale total unit cost (capital plus operation and maintenance costs) of product water produced by the two technologies was estimated to range from $0.91 to $1.12 per cubic meter, depending on the design flow rate of RO concentrate treated, and is estimated to be similar between the two technologies given the +50%/–30% expected accuracy of the Class 5 cost estimate.
Molecular Mechanism of Qingzaojiufei Decoction in the Treatment of Pulmonary
Fibrosis based on Network Pharmacology and Molecular Docking
Authors: Zhao Yilong , Liu Bohao , Li Yixing , Chen Zhe , Zhu Xingzhuo , Tao Runyi , Wang Zhiyu , Wang Hongyi , Zhang Yanpeng , Yan Shuguang , Gong Qiuyu , Zhang Guangjian 
Published: September 2023

Background:
In recent years, pulmonary fibrosis (PF) has increased in incidence and prevalence.
Qingzaojiufei decoction (QD) is a herbal formula that is used for the treatment of PF.

Objective:
In this research, network pharmacology and molecular docking methods were used to explore the
major chemical components and potential mechanisms of QD in the treatment of PF.

Methods:
The principal components and corresponding protein targets of QD were used to screen on Traditional
Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP), Traditional Chinese
Medicine Integrated Database (TCMID) and high-throughput experiment-and reference-guided database
(HERB), Cytoscape 3.7.2 was used to construct the drug-component-target network. PF targets were collected
by GeneCards and Online Mendelian Inheritance in Man (OMIM) databases. The protein-protein interaction
(PPI) network was constructed by importing compound-disease intersection targets into the Search Tool for the
Retrieval of Interacting Genes/Proteins (STRING) database and visualized by Cytoscape3.7.2. We further performed
Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment
analysis on the intersecting targets. In the last, we validated the core targets and active compounds by molecular
docking.

Results:
The key compounds of quercetin, (-)-epigallocatechin-3-gallate, and kaempferol of QD were obtained.
The key targets of AKT1, TNF, and IL6 of QD were obtained. The molecular docking results show that quercetin,
(-)-epigallocatechin-3-gallate and kaempferol work well with AKT1, TNF and IL6.

Conclusion:
This research shows the multiple active components and molecular mechanism of QD in the
treatment of PF and offers resources and suggestions for future studies.
Further Results for Some Eccentric Based Indices
Authors: Kirgiz Havva , Maden Ayşe Dilek 
Published: September 2023

Background:
Topological indices have a significant role in determining a molecule’s
topology in the light of theoretical chemistry.

Objectives:
This study aimed to find new bounds for some eccentric-based topological indices.

Methods:
We used comparison theorem for integrals.

Results:
We found new bounds for the eccentric-based harmonic index and atom-bond
connectivity index. Our results are better than previous results in the literature.

Conclusion:
This study has contributed to the chemical graph theory literature by giving a new
method to find eccentric-based topological indices with lower and upper bounds.
The Use of Nanocarriers to Enhance the Anti-neuroinflammatory
Potential of Dietary Flavonoids in Animal Models of Neurodegenerative
Diseases: A Systematic Review
Authors: Gandhi Gopalsamy Rajiv , Hillary Varghese Edwin , Athesh Kumaraswamy , da Cruz Ramos Maria Letícia Carvalho , de Oliveira Krauss Gabriela Peres , Jothi Gnanasekaran , Sridharan Gurunagarajan , Sivasubramanian Rengaraju , Hariharan Govindasamy , Vasconcelos Alan Bruno Silva , Montalvão Monalisa Martins , Ceasar Stanislaus Antony , da Silva Calisto Valdete Kaliane , Gurgel Ricardo Queiroz 
Published: September 2023

Background:
Neurodegenerative diseases (NDs) have become a common and growing
cause of mortality and morbidity worldwide, especially in older adults. The natural flavonoids found
in fruits and vegetables have been shown to have therapeutic effects against many diseases, including
NDs; however, in general, flavonoids have limited bioavailability to the target cells. One promising
strategy to increase bioavailability is to entrap them in nanocarriers.

Objective:
This article aims to review the potential role of nanocarriers in enhancing the antineuroinflammatory
efficacy of flavonoids in experimentally induced ND.

Methods:
A literature search was conducted in the scientific databases using the keywords “neurodegenerative”,
“anti-neuroinflammatory”, “dietary flavonoids,” “nanoparticles”, and “therapeutic
mechanisms”.

Results:
A total of 289 articles were initially identified, of which 45 articles reported on flavonoids.
After completion of the selection process, five articles that met the criteria of the review were selected
for analysis. Preclinical studies identified in this review showed that nanoencapsulated flavonoids attenuated
cognitive impairment and seizure, improved behavioral patterns, and reduced levels of astrocytes.
Importantly, they exhibited strong antioxidant properties, increasing the levels of antioxidant enzymes and
reducing oxidative stress (OS) biomarkers. Moreover, nanocarrier-complexed flavonoids decreased the levels
of the pro-inflammatory cytokines, interleukin 6 (IL-6) and tumor necrosis factor alpha (TNF-α), by inhibiting
nuclear factor kappa-light-chain-enhancer of activated B cells (NF-κB) and nod-like receptor protein
3 inflammasome activation (NLRP3). They also had remarkable effects on important ND-related neurotransmitters,
improved cognitive function via cholinergic neurotransmission, and increased prefrontal cortical
and hippocampal norepinephrine (NE) and 5-hydroxytryptamine (5-HT).

Conclusion:
Nanoencapsulated flavonoids should, therefore, be considered a novel therapeutic approach
for the treatment of NDs.
Innovative Discoveries in Neurosurgical Treatment of Neurodegenerative
Diseases: A Narrative Review
Authors: Findlay Matthew C. , Khan Majid , Kundu Mrinmoy , Johansen Chase M. , Lucke-Wold Brandon 
Published: September 2023

Abstract:
Neurodegenerative diseases (NDDs) encapsulate conditions in which neural cell populations
are perpetually degraded and nervous system function destroyed. Generally linked to increased
age, the proportion of patients diagnosed with a NDD is growing as human life expectancies
rise. Traditional NDD therapies and surgical interventions have been limited. However, recent
breakthroughs in understanding disease pathophysiology, improved drug delivery systems, and targeted
pharmacologic agents have allowed innovative treatment approaches to treat NDDs. A common
denominator for administering these new treatment options is the requirement for neurosurgical
skills. In the present narrative review, we highlight exciting and novel preclinical and clinical
discoveries being integrated into NDD care. We also discuss the traditional role of neurosurgery in
managing these neurodegenerative conditions and emphasize the critical role of neurosurgery in effectuating
these newly developed treatments.
Involvement of the Transient Receptor Channels in Preclinical Models of
Musculoskeletal Pain
Authors: Kudsi Sabrina Qader , Viero Fernanda Tibolla , Pereira Leonardo Gomes , Trevisan Gabriela 
Published: September 2023

Background:
Musculoskeletal pain is a condition that affects bones, muscles, and tendons
and is present in various diseases and/or clinical conditions. This type of pain represents a growing
problem with enormous socioeconomic impacts, highlighting the importance of developing treatments
tailored to the patient's needs. TRP is a large family of non-selective cation channels involved in pain
perception. Vanilloid (TRPV1 and TRPV4), ankyrin (TRPA1), and melastatin (TRPM8) are involved
in physiological functions, including nociception, mediation of neuropeptide release, heat/cold sensing,
and mechanical sensation.

Objective:
In this context, we provide an updated view of the most studied preclinical models of muscle
hyperalgesia and the role of transient receptor potential (TRP) in these models.

Methods:
This review describes preclinical models of muscle hyperalgesia induced by intramuscular
administration of algogenic substances and/or induction of muscle damage by physical exercise in the
masseter, gastrocnemius, and tibial muscles.

Results:
The participation of TRPV1, TRPA1, and TRPV4 in different models of musculoskeletal
pain was evaluated using pharmacological and genetic tools. All the studies detected the antinociceptive
effect of respective antagonists or reduced nociception in knockout mice.

Conclusion:
Hence, TRPV1, TRPV4, and TRPA1 blockers could potentially be utilized in the future
for inducing analgesia in muscle hypersensitivity pathologies.