bluuebunny/crossref_metadata_2025_split huggingface dataset:
Impact assessment of land use/land cover changes on surface runoff characteristics in the Shetrunji River Basin using the SWAT model
Authors: Waikhom Sahita I. , Yadav Vipinkumar , Azamathulla Hazi Md. , Solanki Naval 
Published: May 2023

Abstract
Land use/land cover (LU/LC) change has a considerable effect on the runoff characteristics of any watershed. LU/LC change studies are necessary for policymakers to identify the challenges and adopt the course of action such as soil and water conservation measures for improvement. The current research is undertaken for the upper Shetrunji River basin using a hydrological model linked with GIS. Input data like LU/LC, meteorological, and soil elements are necessary to execute watershed modeling. The model was calibrated and validated in SWAT-CUP using the SUFI-2 algorithm. The data from 2000 to 2010 were utilized for calibration, whereas the data from 2011 to 2020 were used for validation with a three-year warm-up period from 1997 to 1999. LU/LC change detection has been accomplished using ERDAS IMAGINE 2015 via a supervised classification approach. Close agreement was obtained between simulated and observed streamflow data during model calibration (NSE = 0.74 and R2 = 0.78) and validation (NSE = 0.70 and R2 = 0.73). LU/LC change detection shows that agricultural, urban, and water body areas increased between 2000–2010 and 2010–2020, and forest areas increased in 2010 and decreased in 2020. Thus, it is concluded that the change in LU/LC significantly influenced the runoff of the upper Shetrunji River basin.
What is the best procedure for determining removal rate coefficients in horizontal flow treatment wetlands: influent and effluent concentrations or longitudinal concentration profiles?
Authors: von Sperling Marcos , Wallace Scott D. , Nivala Jaime 
Published: May 2023

Abstract

First-order removal rate coefficients (k) are used in predictive equations for estimating effluent concentrations from horizontal flow (HF) wetlands. Due to limited resources, influent and effluent concentration data from existing systems are frequently used in the estimation of k values from operating systems, but another choice is to use concentration data along the longitudinal profile of the HF wetland. Based on a dataset with 41 HF wetlands/studies obtained from a literature survey, with chemical oxygen demand (COD) measurements at different sampling points, volumetric (kV) and areal (kA) removal rate coefficients for the Tanks-In-Series (TIS) model have been obtained using the two estimation methods. In general, removal rate coefficients derived from longitudinal profiles of concentrations were higher than those obtained by using data from influent and effluent concentrations, reflecting the fact that constituent removal is mostly accomplished before the wastewater reaches the outlet zone. Deriving coefficients from longitudinal profiles is more comprehensive, providing a better explanation of the internal removal taking place in the treatment wetland. However, the more widely used approach of calculating kV and kA from influent/effluent concentrations may lead to a safer design of horizontal flow wetlands, because of underestimation of the actual removal rate coefficients.
Therapeutic Approaches of Dual-targeted Nanomedicines for Tumor Multidrug
Resistance
Authors: Han Weili , Shen Zhenglin , Zou Jie , Ye Qiufang , Ge Cheng , Zhao Yuqin , Wang Ting , Chen Yafang 
Published: May 2023

Abstract:
Currently, the main cause of cancer chemotherapy failure is multi-drug resistance (MDR),
which involves a variety of complex mechanisms. Compared with traditional small-molecule chemotherapy,
targeted nanomedicines offer promising alternative strategies as an emerging form of therapy,
especially active targeted nanomedicines. However, although single-targeted nanomedicines have made
some progress in tumor therapy, the complexity of tumor microenvironment and tumor heterogeneity
limits their efficacy. Dual-targeted nanomedicines can simultaneously target two tumor-specific factors
that cause tumor MDR, which have the potential in overcoming tumor MDR superior to single-targeted
nanomedicines by further enhancing cell uptake and cytotoxicity in new forms, as well as the effectiveness
of tumor-targeted delivery. This review discusses tumor MDR mechanisms and the latest achievements
applied to dual-targeted nanomedicines in tumor MDR.
Levels and Correlates of Functional Cervical Cancer Literacy among
Lebanese Women: A Cross-sectional Study
Authors: Bouclaous Carmel , Albaini Obey , Bou Malham Melissa , Salem Marie-Josée , Deeb Mary , Al Ghadban Faten 
Published: May 2023

Introduction:
Cervical cancer can be prevented through vaccination against HPV and routine
screening through HPV DNA testing or Pap smear. This cross-sectional study aimed to assess functional
cervical cancer literacy (FCCL) levels and correlates among women of reproductive age in Lebanon.

Methods:
The Arabic self-administered questionnaire consisted of the Cervical Cancer Literacy Assessment Tool, socio-demographic characteristics (age, education, employment status, religiosity, ability to pay), and health-related factors (smoking, parity, chronic diseases, self-perceived health, history
of uterine or cervix surgeries, health insurance, visits to physician in the past three months, and regular
Pap smear and HPV DNA testing).

Results:
Of 619 women mean age of 33.9 years (±12.0), 51.7% had insufficient FCCL. Lower educational level, difficulty in covering medical expenses, lack of health insurance and poor self-perceived
health were significantly associated with insufficient FCCL. Multiple logistic regression analysis
showed that monthly income (OR: 1.74 [95% CI: 1.12 – 2.72]), ability to pay for medical expenses
(OR: 1.81 [1.05 – 3.14]), and visits to the doctor in the last three months (OR: 1.51 [1.07 – 2.12]) were
predictive of FCCL level

Conclusion:
In addition to a national vaccination program against HPV combined with cervical cancer
screening, we recommend the inclusion of cervical cancer as a topic within sexuality education programs.
Special attention should be given to women with limited FCCL and uninsured women of low socioeconomic status. To enhance cervical cancer literacy, and promote vaccination and screening, efforts
should extend beyond health care settings and leverage various media channels, including social media.
An Overview of Protein Function Prediction Methods: A Deep Learning
Perspective
Authors: Ispano Emilio , Bianca Federico , Lavezzo Enrico , Toppo Stefano 
Published: May 2023

Abstract:
Predicting the function of proteins is a major challenge in the scientific community, particularly
in the post-genomic era. Traditional methods of determining protein functions, such as experiments,
are accurate but can be resource-intensive and time-consuming. The development of Next Generation
Sequencing (NGS) techniques has led to the production of a large number of new protein sequences,
which has increased the gap between available raw sequences and verified annotated sequences.
To address this gap, automated protein function prediction (AFP) techniques have been developed as
a faster and more cost-effective alternative, aiming to maintain the same accuracy level.

:
Several automatic computational methods for protein function prediction have recently been developed
and proposed. This paper reviews the best-performing AFP methods presented in the last decade and
analyzes their improvements over time to identify the most promising strategies for future methods.

:
Identifying the most effective method for predicting protein function is still a challenge. The Critical
Assessment of Functional Annotation (CAFA) has established an international standard for evaluating
and comparing the performance of various protein function prediction methods. In this study, we analyze
the best-performing methods identified in recent editions of CAFA. These methods are divided into
five categories based on their principles of operation: sequence-based, structure-based, combined-based,
ML-based and embeddings-based.

:
After conducting a comprehensive analysis of the various protein function prediction methods, we observe
that there has been a steady improvement in the accuracy of predictions over time, mainly due to
the implementation of machine learning techniques. The present trend suggests that all the bestperforming
methods will use machine learning to improve their accuracy in the future.

:
We highlight the positive impact that the use of machine learning (ML) has had on protein function prediction.
Most recent methods developed in this area use ML, demonstrating its importance in analyzing
biological information and making predictions. Despite these improvements in accuracy, there is still a
significant gap compared with experimental evidence. The use of new approaches based on Deep
Learning (DL) techniques will probably be necessary to close this gap, and while significant progress
has been made in this area, there is still more work to be done to fully realize the potential of DL.
The Role of Light on the Microalgae Biotechnology: Fundamentals,
Technological Approaches, and Sustainability Issues
Authors: Sartori Rafaela Basso , Deprá Mariany Costa , Dias Rosangela Rodrigues , Fagundes Mariane Bittencourt , Zepka Leila Queiroz , Jacob-Lopes Eduardo 
Published: May 2023

Abstract:
Light energy directly affects microalgae growth and productivity. Microalgae in
natural environments receive light through solar fluxes, and their duration and distribution
are highly variable over time. Consequently, microalgae must adjust their photosynthetic
processes to avoid photo limitation and photoinhibition and maximize yield. Considering
these circumstances, adjusting light capture through artificial lighting in the main culture
systems benefits microalgae growth and induces the production of commercially important
compounds. In this sense, this review provides a comprehensive study of the role of light
in microalgae biotechnology. For this, we present the main fundamentals and reactions of
metabolism and metabolic alternatives to regulate photosynthetic conversion in microalgae
cells. Light conversions based on natural and artificial systems are compared, mainly
demonstrating the impact of solar radiation on natural systems and lighting devices, spectral
compositions, periodic modulations, and light fluxes when using artificial lighting systems.
The most commonly used photobioreactor design and performance are shown herein,
in addition to a more detailed discussion of light-dependent approaches in these photobioreactors.
In addition, we present the principal advances in photobioreactor projects, focusing
on lighting, through a patent-based analysis to map technological trends. Lastly, sustainability
and economic issues in commercializing microalgae products were presented.
Human-to-Computer Interactivity Features Incorporated Into Behavioral Health mHealth Apps: Systematic Search
Authors: Collier Ann Futterman , Hagemann Shelby , Trinidad Susan Brown , Vigil-Hayes Morgan 
Published: May 2023

Background
While there are thousands of behavioral health apps available to consumers, users often quickly discontinue their use, which limits their therapeutic value. By varying the types and number of ways that users can interact with behavioral health mobile health apps, developers may be able to support greater therapeutic engagement and increase app stickiness.

Objective
The main objective of this analysis was to systematically characterize the types of user interactions that are available in behavioral health apps and then examine if greater interactivity was associated with greater user satisfaction, as measured by app metrics.

Methods
Using a modified PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analysis) methodology, we searched several different app clearinghouse websites and identified 76 behavioral health apps that included some type of interactivity. We then filtered the results to ensure we were examining behavioral health apps and further refined our search to include apps that identified one or more of the following terms: peer or therapist forum, discussion, feedback, professional, licensed, buddy, friend, artificial intelligence, chatbot, counselor, therapist, provider, mentor, bot, coach, message, comment, chat room, community, games, care team, connect, share, and support in the app descriptions. In the final group of 34 apps, we examined the presence of 6 types of human-machine interactivities: human-to-human with peers, human-to-human with providers, human-to–artificial intelligence, human-to-algorithms, human-to-data, and novel interactive smartphone modalities. We also downloaded information on app user ratings and visibility, as well as reviewed other key app features.

Results
We found that on average, the 34 apps reviewed included 2.53 (SD 1.05; range 1-5) features of interactivity. The most common types of interactivities were human-to-data (n=34, 100%), followed by human-to-algorithm (n=15, 44.2%). The least common type of interactivity was human–artificial intelligence (n=7, 20.5%). There were no significant associations between the total number of app interactivity features and user ratings or app visibility. We found that a full range of therapeutic interactivity features were not used in behavioral health apps.

Conclusions
Ideally, app developers would do well to include more interactivity features in behavioral health apps in order to fully use the capabilities of smartphone technologies and increase app stickiness. Theoretically, increased user engagement would occur by using multiple types of user interactivity, thereby maximizing the benefits that a person would receive when using a mobile health app.
Remote Home Monitoring of Continuous Vital Sign Measurements by Wearables in Patients Discharged After Colorectal Surgery: Observational Feasibility Study
Authors: Leenen Jobbe P L , Ardesch Vera , Patijn Gijsbert 
Published: May 2023

Background
Hospital stays after colorectal surgery are increasingly being reduced by enhanced recovery and early discharge protocols. As a result, postoperative complications may frequently manifest after discharge in the home setting, potentially leading to emergency room presentations and readmissions. Virtual care interventions after hospital discharge may capture clinical deterioration at an early stage and hold promise for the prevention of readmissions and overall better outcomes. Recent technological advances have enabled continuous vital sign monitoring by wearable wireless sensor devices. However, the potential of these devices for virtual care interventions for patients discharged after colorectal surgery is currently unknown.

Objective
We aimed to determine the feasibility of a virtual care intervention consisting of continuous vital sign monitoring with wearable wireless sensors and teleconsultations for patients discharged after colorectal surgery.

Methods
In a single-center observational cohort study, patients were monitored at home for 5 consecutive days after discharge. Daily vital sign trend assessments and telephone consultations were performed by a remote patient-monitoring department. Intervention performance was evaluated by analyzing vital sign trend assessments and telephone consultation reports. Outcomes were categorized as “no concern,” “slight concern,” or “serious concern.” Serious concern prompted contact with the surgeon on call. In addition, the quality of the vital sign data was determined, and the patient experience was evaluated.

Results
Among 21 patients who participated in this study, 104 of 105 (99%) measurements of vital sign trends were successful. Of these 104 vital sign trend assessments, 68% (n=71) did not raise any concern, 16% (n=17) were unable to be assessed because of data loss, and none led to contacting the surgeon. Of 62 of 63 (98%) successfully performed telephone consultations, 53 (86%) did not raise any concerns and only 1 resulted in contacting the surgeon. A 68% agreement was found between vital sign trend assessments and telephone consultations. Overall completeness of the 2347 hours of vital sign trend data was 46.3% (range 5%-100%). Patient satisfaction score was 8 (IQR 7-9) of 10.

Conclusions
A home monitoring intervention of patients discharged after colorectal surgery was found to be feasible, given its high performance and high patient acceptability. However, the intervention design needs further optimization before the true value of remote monitoring for early discharge protocols, prevention of readmissions, and overall patient outcomes can be adequately determined.
Effect of craniofacial morphology on gingival parameters of mandibular incisors
Authors: Kong Jessica , Hartsfield James K. , Aps Johan , Naoum Steven , Lee Richard , Miranda Leticia Algarves , Goonewardene Mithran S. 
Published: May 2023

ABSTRACT

Objectives
To investigate the association between the width of keratinized gingiva (WKG), gingival phenotype (GP), and gingival thickness (GT) with craniofacial morphology in sagittal and vertical dimensions.

Materials and Methods
WKG, GP, and GT of mandibular anterior teeth in 177 preorthodontic patients (mean age 18.38 ± 5.16 years) were assessed clinically using a periodontal probe, a Colorvue Biotype Probe, and ultrasound by a single examiner. Patients were grouped into skeletal Class I, II, and III and hyperdivergent, normodivergent, and hypodivergent based on ANB and SN-MP angles. Mandibular incisor inclination (L1-NB) was also measured. Clinical and cephalometric measurements were repeated to assess inter- and intraexaminer reproducibility.

Results
A significant association was found between thin GP and skeletal Classes I and III for the left mandibular central incisor (MCI; P = .0183). In skeletal Class III patients, L1-NB angle demonstrated a decreasing trend as phenotype thickness decreased. A significant association was found between thin phenotype and normodivergent and hypodivergent groups for MCIs (left: P = .0009, right: P = .00253). No significant association between WKG or GT and craniofacial morphology was found.

Conclusions
Thin GP is associated with skeletal Class I and III for the left MCI. Thin GP is associated with hypodivergent and normodivergent skeletal patterns for the MCIs. There was no association between WKG and GT and craniofacial morphology in both skeletal and vertical dimensions. Dental compensations that exist due to different craniofacial morphology may influence the GP.
Assessment of Mercury Level in Local Polish and Imported Honeys with Use of Direct Mercury Analyzer
Authors: Tomczyk Monika , Kusibab Julita , Zachara Alicja , Dżugan Małgorzata 
Published: May 2023

Abstract
Mercury is a toxic metal which causes several serious health effects including kidney damage, anxiety depression and peripheral neuropathy, and because of its high volatility assessment in solid samples is problematic. In this study, forty-five samples of local Polish and imported honeys were analyzed by Direct Mercury Analyzer (DMA) for the determination of mercury content. The honey contamination was assessed regarding honey variety and country of origin. Hg level in all tested samples was found to not exceed the 0.81 μg/kg which was below 10% of the applicable law UE limit. Moreover, no statistically significant differences were found in the variety or geographical origin. The study concluded that the Direct Mercury Analyzer (DMA) instrument proved to be an excellent tool for screening mercury in honeys because of its simplicity, rapidity, low detection limit, accuracy and precision and no sample preparation.
Post Hospital Discharge Functional Recovery of Critical Illness Survivors. Systematic Review
Authors: Patsaki Irini , Bachou Georgia , Sidiras Georgios , Nanas Serafim , Routsi Christina , Karatzanos Eleftherios 
Published: May 2023

ABSTRACT

Background
Millions of people face critical illnesses and need to be hospitalized in an Intensive Care Unit (ICU) annually worldwide. Despite the fact that survival rates of these patients have increased, they develop various cognitive, psychological and functional impairments. This study aims to investigate the significance of the recovery interventions following intensive care unit discharge, the effectiveness of the rehabilitative protocols and their possible deficits.

Methods
MEDLINE (PubMed) and Physiotherapy Evidence Database (PEDro) were searched for studies analyzing the recovery potentials post-ICU among adults, who spent at least 48 hours at the ICU. Methodological quality of the studies was assessed via PEDro Scale.

Results
Nine randomized controlled trials were included. These took place mainly at specialized rehabilitation gyms as well as patients home environments. Studies analyses showed that treatment group showed improvement in functional ability in relation to control group. Nevertheless, differences between two groups were not statistically significant (P<0.05). The majority of studies assessed cardiorespiratory endurance and muscular strength.

Conclusions
The included rehabilitation programs were determined to be effective. Although they didn’t prove any statistically significant difference between groups, quality of life enhancements and stress reduction were reported. Hence, new randomized controlled trials are required in order to provide more accurate data on the potential benefits of rehabilitation strategies among post-ICU patients.
Efficacy of hemoporfin-mediated photodynamic therapy in treating Sturge–Weber syndrome associated port-wine stains: A retrospective study
Authors: Huang Yuanbo , Chen Bin , Yang Jun , Bi Mingye , Bi Linbo , Fan Weixin 
Published: May 2023

Background
Sturge–Weber syndrome (SWS) is a rare condition associated with a GNAQ gene mutation, which affects neural crest cells. A pulsed dye laser (PDL) is a first-line therapy for SWS, but its outcomes are worse than those in patients with port-wine stains (PWS). Photodynamic therapy (PDT) is a promising therapeutic option for PWS. However, its use for PWS associated with SWS has rarely been studied.

Aims
To investigate the therapeutic and adverse effects of photodynamic therapy in treating SWS–associated PWS.

Methods
Patients with SWS and matched patients with large size facial PWS were included in this study. Both colorimetric assessment and visual evaluation were conducted to evaluate patients’ responses to treatment.

Results
Colorimetric assessment (blanching rate) and visual evaluation (scores of colour improvement) showed that after two PDT treatments, the SWS and PWS groups had similar treatment responses (21.2% vs. 29.8%; 3.39 vs. 3.65; P = 0.18, P = 0.37). However, there was a significant difference in efficacy between patients with SWS with and without a treatment history (12.4 and 34.9%, respectively; P = 0.02), as well as between patients with lesions located on the central and lateral faces (18.5 and 36.8%, respectively; P = 0.01). Both the SWS and PWS groups experienced minor adverse effects, and the frequency of these effects was not significantly different between the two groups.

Limitation
The study was limited by a small sample size and the possibility of later onset of glaucoma. In addition, false-negative magnetic resonance imaging screening results for SWS could not be ruled out due to the young age of some participants.

Conclusion
Photodynamic therapy is a safe and effective therapeutic option for SWS–associated PWS. Patients without a treatment history, and lesions on the lateral face, responded well, demonstrating good efficacy.