bluuebunny/crossref_metadata_2025_split huggingface dataset:
Personalised Exercise Rehabilitation in Cancer Survivorship: Findings from a Triage and Referral Implementation study
Authors: Brennan Louise , Sheill Grainne , Collier Sonya , Browne Peter , Donohoe Claire , Guinan Emer 
Published: May 2024

Abstract

Purpose: Screening, triage and referral systems are proposed as efficient, needs-based models of cancer rehabilitation. This study aimed to evaluate the feasibility and real-world application of the PERCS Triage and Referral system.
Methods: Utilising a pre-post design, the reach, effectiveness, and implementation of PERCS was evaluated quantitatively in the context of a physiotherapy-led clinic for patients diagnosed with cancer during COVID-19. Assessments at baseline and 12-weeks (T1) included medical, social and physical activity history, patient-reported outcomes, and performance-based measures. Following assessment, the PERCS system allocated participants to one of three exercise pathways.
Results: Sixty-four participants were recruited over 5 months (25.2% recruitment rate; female n=39; mean age 61.4 (12.4) years). Almost all participants (90.6%) required support to become more physically active. The majority (n=43, 66%) were referred to community exercise programmes and n=15 (23%) required physiotherapy rehabilitation. Five required medical pre-clearance and one was re-triaged at 1-week. Mean cost per participant for community exercise services was €107.70.
At T1, adherence to physical activity guidelines increased for aerobic (44% to 83%) and resistance (13% to 67%) exercise. Improvements were observed in hand grip strength (x̄ 2.59kg, p=0.001), 30 second sit-to-stand (x̄+3.7stands, p<0.001) and 6-minute walk test (x̄ +37.3m, p=0.001).
Conclusion: PERCS appropriately triaged patients to the right level of exercise and rehabilitation for individual needs and was effectively implemented. Participants experienced improvements in physical activity and physical functioning metrics.
Implications for Cancer Survivors: Triage and referral systems can support effective and patient-centred implementation of exercise into cancer care.
ClinicalTrials.gov registration: NCT05615285
Exploring the Relationship of Integrated Behavioral and Primary Healthcare with Wellness Profiles
Authors: Fields Alexander , Limbert Dodie , Starrett Angie 
Published: May 2024

Abstract

We aimed to describe a potential relationship between an adult’s wellness and the level of care (LOC) they received in their counselling services. Through an online survey panel, we recruited clients who received counselling over the last 12 months (N = 466). Participants responded to questions about their demographics, health, and mental health history, the LOC for their counselling or therapy, and 5F-WEL (Myers & Sweeney, 2005). We analyzed the data using latent profile analysis (LPA), profiles were developed based on their responses to the 5F-WEL second order factors. We found four profiles as an appropriate solution, each had significant differences in age, sexuality, race and ethnicity, degree, work status, marriage status, and mental health diagnoses. The LOC was not significant. Our results inform practitioners, counselor educators, and policymakers on the impact IC has on an individual’s wellness, and inform future research on the relationship between wellness and IC.
Effect of soil characteristics on compressive strength of cement stabilized earth blocks: Statistical analysis and Artificial Neural Networks model
Authors: Sathiparan Navaratnarajah , Jeyananthan Pratheeba 
Published: May 2024

Abstract

This study investigates using machine learning techniques to predict the compressive strength of cement-stabilized earth blocks (CSEBs). CSEBs are a promising sustainable construction material, but their compressive strength depends on various soil characteristics. Accurately predicting this strength is crucial for design and construction purposes. The research analyzes the influence of several soil properties, including particle size distribution, Atterberg limits, and compaction test results, on the compressive strength of CSEBs. For this purpose experimental program was conducted using nine different soils and three different cement contents to prepare the CSEBs. Additionally, it explores the efficacy of an Artificial Neural Network (ANN) model in predicting this strength based on these soil characteristics. The findings reveal that cement content significantly impacts compressive strength, followed by other factors like the coefficient of curvature, sand content, and liquid limit. Utilizing SHAP (SHapley Additive exPlanations) analysis allows for interpreting the model and identifying the key features influencing its predictions. Focusing on a reduced set of crucial features identified through SHAP analysis can maintain acceptable prediction accuracy while reducing data acquisition efforts. This research signifies the potential of machine learning, particularly ANN models, for accurately predicting the compressive strength of CSEBs based on their soil properties. This advancement can contribute to the efficient and sustainable development of constructions utilizing CSEBs.
The conspicuous consumption phenomenon in Saudi Arabia
Authors: Alotaibi Mohamed Meteb 
Published: May 2024

Abstract

With Saudi Arabia’s tendency to implement a policy of economic openness to the outside world in the early 1980s of the last century, the phenomenon of conspicuous consumption (Society of consumption and imitation) has increased. Under the increasingly growing of the economic globalization phenomenon and the spread of multi-national companies which market and promote their products over different mass media, the phenomenon has remarkably increased till its shadows covered the low-income groups. Therefore, the low-income groups looked for illegal fast-earnings to cope with different patterns of this phenomenon. Consequently, the economic inflation rates have increased with the sharp increase of corruption and illegal earning while looking for fast richness and achieve social dominance and prestige. The research aims to identify the concept and fields of this phenomenon at the economic and social aspects. It aims, then, to clarify the most significant factors affecting this phenomenon and its subsequent economic and social effects and risks. The research has used social survey through the design of a sample questionnaire form for (300) respondents in three different areas in Saudi Arabia. The study introduces appropriate recommendations to curb the exacerbation of this phenomenon in the future.
Legionella maintains host ubiquitin homeostasis by effectors with unique catalytic mechanisms
Authors: Luo Zhao-Qing , Fu Jiaqi , Li Siying , Xian Wei , Zhang Zhengrui , Chen Tao-Tao , Liu Yao , Lu Qiuhua , Ouyang Songying , Das Chittaranjan , Liu Xiaoyun , Song Lei , Guan Hongxin , Li Chuang , Guan Qingtian , Wang Jingting , Li Jinyu , Kang Lina , Zheng Si-Ru , Cao Shoujing 
Published: May 2024

Abstract

The reversal of ubiquitination induced by members of the SidE effector family of Legionella pneumophila produces phosphoribosyl ubiquitin (PR-Ub) that is potentially detrimental to host cells. Here we show that the effector LnaB functions to transfer the AMP moiety from ATP to the phosphoryl moiety of PR-Ub to convert it into ADP-ribosylated ubiquitin (ADPR-Ub), which is further processed to ADP-ribose and functional ubiquitin by the (ADP-ribosyl)hydrolase MavL, thus maintaining ubiquitin homeostasis in infected cells. Upon being activated by Actin, LnaB also undergoes self-AMPylation on tyrosine residues. The activity of LnaB requires a motif consisting of Ser, His and Glu (S-HxxxE) present in a large family of toxins from diverse bacterial pathogens. Our study not only reveals intricate mechanisms for a pathogen to maintain ubiquitin homeostasis but also identifies a new family of enzymes capable of protein AMPylation, suggesting that this posttranslational modification is widely used in signaling during host-pathogen interactions.
Scale effects and implications of the stochastic structure of customer water demands
Authors: Díaz Sarai , González Javier , Lansey Kevin , Pointl Michael 
Published: May 2024

ABSTRACT

The effect of different temporal (from seconds to months) and spatial aggregation scales (from individual users to full urban areas) on water demand behavior has been explored to a limited degree. The effort described here extends those works by evaluating the scale effects of residential water consumption in a unique US data set that covers 10,000 households with a 1-gallon (3.79 L) hourly resolution over 2 years. A preliminary data analysis and a sequential Principal Component Analysis (PCA) is carried out to assess the effect of different temporal (weekly, daily, hourly) and spatial aggregation (individual meters and groups every 10, 100 and 1,000 meters) levels on demand. Results show that individual users act very differently from each other, and individual consumer variability is only canceled out when a significant number of households are aggregated. The implications of this finding are assessed from a hydraulic modeling perspective as the spatiotemporal scale of measurements may condition the type of analysis that can be carried out in practice. However, additional work is needed to explore the point at which it may be worth embracing a micro (per fixture/household) or a macro (per node/network) approach for different purposes.
Hydrogeochemical evolution and processes based on multivariable statistical and inverse simulation modeling: A coal mine in the Northern Coalfield, China
Authors: Zhu Jingzhong , Li Wenping , Zhao Baoxin , Jiang Qilin 
Published: May 2024

ABSTRACT

Considering groundwater from the aquifers overlying the bedrock is an important water source for drinking purposes. As such, the investigation of its property is essential. Based on the spatial structure of aquifers in the study area, the aquifers in the Cenozoic strata are divided into three groups. The multivariate statistical approaches are employed to identify the hydrogeochemical processes and hydro-chemical types, and hydrogeochemical inverse modeling is applied to further validate and elucidate the hydrogeochemical process and water–rock interaction. The results are as follows: (1) The hydro-chemical type of the upper aquifer is dominated by the K + Na-HCO3 type, while others have similar water quality types, which are dominated by the K + Na-Cl type and the K + Na-SO4 type. (2) The saturation index of anhydrite, gypsum, halite, and CO2(g) is below zero in three aquifers, indicating that they are unsaturated. While aragonite, calcite, and dolomite in the middle aquifer remain in the unsaturated–saturated state. (3) The cation exchange process accelerating the reduction of Ca2+ concentration and the increase of SO42− concentration occurs in three aquifers, and the dissolution of calcite and dolomite minerals occurs in most cases. This study supports the fundamental evidence for the hydrogeochemical processes and water resource utilization and has a certain practical significance.
A Review on Indole-triazole Molecular Hybrids as a Leading Edge in
Drug Discovery: Current Landscape and Future Perspectives
Authors: Rohilla Suman , Goyal Garima , Berwal Paras , Mathur Nancy 
Published: May 2024

Abstract:
Molecular hybridization is a rational design strategy used to create new ligands or pro-totypes by identifying and combining specific pharmacophoric subunits from the molecular struc-tures of two or more known bioactive derivatives. Molecular hybridization is a valuable technique in drug discovery, enabling the modulation of unwanted side effects and the creation of potential dual-acting drugs that combine the effects of multiple therapeutic agents. Indole-triazole conju-gates have emerged as promising candidates for new drug development. The indole and triazole moieties can be linked through various synthetic strategies, such as click chemistry or other cou-pling reactions, to generate a library of diverse compounds for biological screening. The achieva-ble structural diversity with indole-triazole conjugates offers avenues to optimize their pharmaco-kinetic and pharmacodynamic attributes, amplifying their therapeutic efficacy. Researchers have extensively tailored both indole and triazole frameworks with diverse modifications to compre-hend their impact on the drug's pharmacokinetic and pharmacodynamic characteristics. The cur-rent review article endeavours to explore and discuss various research strategies to design indole-triazole hybrids and elucidate their significance in a variety of pathological conditions. The in-sights provided herein are anticipated to be beneficial for the researchers and will likely encour-age further exploration in this field.
Hydrophilic Interaction Liquid Chromatography for the Analysis of
Pharmaceutical Formulations
Authors: Radoičić Aleksandra , Šegan Sandra , Dramićanin Aleksandra , Milojković-Opsenica Dušanka 
Published: May 2024

Abstract:
For a long time, Reversed-Phase Liquid Chromatography (RPLC) was the most dominant
technique for the analysis of pharmaceutical compounds, but with poor efficiency in the separation of
small polar molecules. From the efforts to solve the problem of insufficient retention of these molecules,
during the last decades, a mode of liquid chromatography named Hydrophilic Interaction Liquid
Chromatography (HILIC) has experienced vast expansion. It is based on the use of a highly hydrophilic
stationary phase along with an aqueous mobile phase with high organic modifier content. In
this review, the characteristics of stationary and mobile phases used in HILIC are described, and corresponding
separation mechanisms are discussed. An overview of recently published papers dealing
with the application of HILIC in analyzing pharmaceuticals in biological and non-biological samples
is provided. Besides, the application of HILIC systems in the determination of the physicochemical
properties of compounds is described.
Factors that Affect the Performance of Health Workers in Providing Comprehensive Emergency Obstetric and Newborn Care
Authors: Yusrawati   , Respati Titik , Suwarsi Sri , Muhardi   , Dasman Hardisman , Yanis Amel 
Published: May 2024

BackgroundComprehensive Emergency Obstetric and Newborn Care (CEmONC) at a tertiary hospital aims to provide sub-specialistic care for life-threatening maternal and neonatal emergency cases. The performance of healthcare workers (HCWs) is a key determinant of the quality of this hospital service, as it could eventually affect the clinical outcome of patients.ObjectivesThis study was performed to analyze the factors affecting the performance of HCWs in providing CEmONC services at a tertiary hospital.MethodsThis cross-sectional research used an online questionnaire through Google Form (Google LLC, USA) from June to July 2022 distributed to 198 HCWs who contributed to CEmONC services at a tertiary hospital. A total of 119 HCWs who had worked for more than one year were included. The collected data were then analyzed with bivariate and multivariate analysis.ResultsIn this study, 68 HCWs (57.1%) had a good performance in implementing the CEmONC services. The significant factors influencing the performance of HCWs were Quality (adjusted odds ratio [AOR] = 31.914; p = 0.003), Quantity (AOR = 15.573; p = 0.003), Work effectiveness (AOR = 20.256; p=0.003), Timeliness (AOR = 27.543; p=0.001), and Teamwork (AOR = 6.773; p=0.031). Meanwhile, age, gender, professional background, length of work experience, and commitment were not associated with the performance of HCWs (p > 0.05).ConclusionThe better performance of HCWs was significantly correlated with good quality, adequate quantity, effective work, being on time, and good teamwork. Therefore, this result suggests that hospital managers should conduct periodic monitoring and evaluation regarding the performance of their employees to improve the quality of CEmONC services at the hospital.
Clinical Trial Participant's Perspectives on Genetic Research Data
Re-uses for Future Research
Authors: Devarinti Revanasiddappa , Ganachari Madiwalayya Shivkantayya 
Published: May 2024

Background:
Clinical trial participants play a crucial role in advancing medical
research, and the data generated from their participation can indeed be invaluable for
future studies. However, the reuse of genetic or clinical research data comes with ethical
challenges that need careful consideration. Here are some of the key ethical issues associated
with the re-use of such data: Reusing data without clear informed consent raises issues
of autonomy and respect for individuals' choices.

Objective:
The main aim of this study is to assess the understanding of individuals involved
in clinical trials regarding the sharing of genetic research information. Moreover,
it seeks to explore the ethical issues and benefits linked with the use of genetic research
data for future research initiatives.

Methods and Material:
A cross-sectional observational study was applied to assess
Knowledge Attitude Practices of clinical trial participants on reuse of genetic research data.

Results:
The majority 70% of clinical trial participants were unsure about the difficulties
that may arise in future regarding the re-use of genomic data, with concerns about confidentiality
being the most common.

Conclusion:
The present study prioritized the involvement of clinical trial participants
due to their critical role in both genetic and clinical research endeavors. There is a lack of
awareness and understanding regarding the re-use of genetic research data and ethical issues
among the trial participants. Researchers must take measures to de-identify or anonymize
data to protect participants. There is a clear need for comprehensive awareness
programs and guidelines aimed at all clinical trial stakeholders. These initiatives would
ensure that researchers, participants, and other involved parties are well-informed and adhere
to ethical standards when utilizing genetic data for subsequent research endeavors.
Global RC Interconnects with ADL Buffers for Low-Power Applications
Authors: Bhardwaj Himani , Jain Shruti , Sohal Harsh 
Published: May 2024

Introduction:
Interconnects are an essential requirement for any circuit completion. They
are utilised to connect two or more blocks, yet when creating a circuit, certain problems have been
observed. Scaling back technology is one such problem.

Methods:
With technology scaled down their aspects change which can straightforwardly affect the
circuit boundaries. Because of this, the time constant and power consumption in the interconnect circuits
has increased. Certain wire (RC) models and techniques have previously been characterized to
control these performance parameters however in this paper, authors have proposed a new interconnect
structure with a buffer insertion technique using adiabatic dynamic logic (ADL).

Results:
To optimise power, a Schmitt trigger is inserted as a buffer between lengthy interconnect
circuits utilising an energy-recovery mechanism. The TSPICE tool is used to model and simulate the
entire circuit.

Conclusion:
The suggested model's performance is compared to that of other cutting-edge methods.
Predictive Value of Physiological Values and Symptom Scores for Exacerbations in Bronchiectasis and Chronic Obstructive Pulmonary Disease With Frequent Exacerbations: Longitudinal Observational Cohort Study
Authors: Jones Thomas Llewelyn , Roberts Claire , Elliott Scott , Glaysher Sharon , Green Ben , Shute Janis K , Chauhan Anoop J 
Published: May 2024

Background
COPD (chronic obstructive pulmonary disease) and bronchiectasis are common, and exacerbations contribute to their morbidity and mortality. Predictive factors for the frequency of future exacerbations include previous exacerbation frequency and airway colonization. Earlier treatment of exacerbations is likely to reduce severity.

Objective
This study tested the hypothesis that, in a population with bronchiectasis, COPD, or both who have frequent exacerbations and airway colonization, changes in symptom scores or physiological variables within 10 days prior to an exacerbation would allow the prediction of the event.

Methods
We performed a 6-month, longitudinal, observational, cohort study among 30 participants with bronchiectasis, COPD, or both; at least 2 exacerbations per year; and colonization with Pseudomonas aeruginosa or Haemophilus influenzae. Daily symptom and physiological data were collected, comprising pulse rate, blood pressure, oxygen saturation, peak flow rate, step count, weight, and temperature. Exacerbations (defined as the onset of new antibiotic use for respiratory symptoms) were collected, and predictive values for abnormal values in the 10 days prior to an exacerbation were calculated.

Results
A total of 30 participants were recruited, collecting a total of 39,534 physiological and 25,334 symptom data points across 5358 participant-days; these included 78 exacerbations across 27 participants, with the remaining 3 participants not having exacerbations within the 6-month observation period. Peak flow rate, oxygen saturation, and weight were significantly different at the point of exacerbation (all P<.001), but no significant trends around exacerbation were noted and no clinically beneficial predictive value was found in the overall or individually adjusted model. Symptom scores tended to worsen for 10 days on either side of an exacerbation but were of insufficient magnitude for prediction, with area under the receiver operating characteristic curve values of ranging from 0.4 to 0.6.

Conclusions
Within this small cohort with bronchiectasis, COPD, or both and airway colonization, physiological and symptom variables did not show sufficient predictive value for exacerbations to be of clinical utility. The self-management education provided as standard of care may be superior to either of these approaches, but benefit in another or larger cohort cannot be excluded.

International Registered Report Identifier (IRRID)
RR2-10.2196/resprot.6636