bluuebunny/crossref_metadata_2025_split huggingface dataset:
Valorization of pea by-products for the isolation of cellulosic microfibers: extraction and physico-chemical characterization
Authors: BHIRI FATMA , Abidi Samira , Bouallegue Amir , Bensidhom Gmar , Kallel Fatma , Chaabouni Semia Ellouz , Trabelsi Aïda Ben Hassen 
Published: September 2022

Abstract
Tremendous by-products are generated from food processes, which cause environmental and economic issues. The valorization of these low-priced wastes will, not only reduce these drawbacks, but also provide attractive raw materials for alternative sustainable technologies. The aim of this study was to explore the utilization of agro-industrial wastes, the pea pods, as renewable bio-sources for the isolation of cellulosic microfibers (CMFs). The CMFs were extracted applying a multi-step process (dewaxing, hot water, alkaline and chlorine-free bleaching treatments). The analysis of the raw material indicated that it contains 27.3 ± 0.700% wt α−cellulose, 17.3 ± 1.201% wt hemicelluloses and 14.94 ± 0.028% wt lignin, amongst other components. The yield, α-cellulose content and average thickness of the extracted CMFs were 26.1 ± 1.430%, 84.38 ± 0.37 % and 11 ± 0.905 µm, respectively. The discard of the majority of lignin and hemicelluloses from the surface of the fibers was checked by color study, scanning electron microscopy (SEM), Fourier transform infrared spectroscopy (FTIR), X-ray diffraction (XRD), nuclear magnetic resonance (NMR) and thermogravimetry (ATG). The peaks exhibited by the isolated CMFs in X-ray diffraction patterns refer to the presence of type I cellulose with a crystallinity of 63.61%. Additionally, thermogravimetric analysis demonstrated the thermal stability of CMFs compared to the raw material. Data are promising for getting benefits from these vegetable wastes for cellulose isolation and its potential application in bio-based materials leading to an efficacious waste control.
Formulation and Evaluation of Anti-microbial Herbal Hand Wash Gel Containing Aqueous Extract of Sapindus mukorossi
Authors: Singh Jagtar , Sharma Mohit , Jyoti Thakur Prava , Kaundal Ritik , Behl Ritika , Tripathi Suryadev 
Published: September 2022

Abstract
Herbal medicines and food products have extensively been looked upon for decades due to their biocompatible nature and the least adverse effects. At the same pace, plant-based cosmetics and toiletries are capturing the market due to their eco-friendly nature and compatibility with human skin. The marketed soaps and hand washes are based on toxic fatty acid salts, surfactants, and perfumes that are not only harmful to the skin but to the environment as well. The commonly used surfactant in soaps and hand washes, sodium lauryl sulfate makes the skin dry and sensitive. Moreover, the water getting polluted by SLS when entering the water bodies, makes the aquatic life vulnerable. So, it becomes important to formulate such hand washes that are biocompatible, without compromising their cleansing action and anti-microbial properties. This piece of work explores the formulation of an anti-bacterial hand wash having a good cleansing action to serve the purpose of maintaining personal hygiene in a biocompatible and eco-friendly way.
Identification of plausible candidates in Prostate Cancer using integrated machine learning approaches
Authors: Kour Bhumandeep , Shukla Nidhi , Bhargava Harshita , Sharma Devendra , Sharma Amita , Valadi Jayaraman , Sadasukhi TS , Vuree Sugunakar , Suravajhala Prashanth 
Published: September 2022

Abstract
Background
Prostate-specific antigen (PSA) in present times is a widely used Prostate Cancer (PCa) biomarker. PSA is associated with some variables that often turn out to be a false positive result or even end up in unnecessary biopsies of older people.
Methods
Extensive literature survey was done, and some clinical parameters were taken for its associated comorbidities like diabetes, obesity, and PCa. These parameters were selected considering how the deviation in their threshold values could accelerate the complex process of carcinogenesis, more specifically corresponding to PCa. The collected data was converted to semi-binary data (-1, -0.5, 0, 0.5, and 1), wherein we aim to apply machine learning (ML) algorithms. For the identification of candidate biomarkers, first, we cross-checked different publicly available datasets some published RNA-seq datasets and our own whole-exome sequencing data to identify common role players among PCa, diabetes, and obesity. Interactome networks were analyzed using GeneMANIA and visualized using Cytoscape to narrow down their common interacting partners, and later cBioportal was used (for comparing expression level analysis based on Z scored values) wherein different types of mutation w.r.t their expression and mRNA expression (RNA seq FPKM) plots. GEPIA 2 tool was applied to see the difference in expression of resulting commonalities between the normal tissue and TCGA datasets of PCa. Top ranking genes were selected to show vivid clustering coefficients with help of the Cytoscape-cytoHubba plugin and for ascertaining survival plots GEPIA 2 is used.
Results
Comparing different publicly available datasets, we get BLM as a common player among all the three diseases, whereas when publicly available datasets, GWAS dataset, and published sequencing results were compared, SPFTPC and PPIMB were the most common. TMPO and FOXP1 were identified as common interacting partners with the help of GeneMANIA and are also seen interacting with BLM.
Conclusions
A probabilistic machine learning model was achieved to identify key candidates between Diabetes, Obesity, and PCa. This, we believe would herald precision scale modeling for easy prognosis
A Study of Job Stress and Quality of Life among University Staff: The Impact of Sociodemographic
Authors: Mukhlis Hamid , Harlianty Rully Afrita , Wilantika Rima , Shalahuddin Iwan , Eriyani Theresia , Pebrianti Sandra 
Published: September 2022

Abstract
Background
Quality of life is one of important aspects to boost productivity at work among employees. However, some employees might feel job stress due to some work pressures leading to an impact on the quality of their life. This study aimed to investigate the quality of life and the job-stress level and which type of stress could either positively or negatively influence the quality of life among employees.
Methods
This study involved 88 University staff as the samples, and the data were collected by using the New Job Stress Scale and WHOQOL adapted into Indonesian. One-predictor regression analysis and product moment were utilized as the analytical method with the additional analysis by using independent t-test and one-way ANOVA to test job stress and quality of life.
Results
The results showed that there was a significant negative relationship between job stress and quality of life. Job stress was able to predict the quality of life with a predictor contribution of 23.5% and had a correlation with all domains of quality of life. Components of job stress including working time, work-related anxiety, role conflict, work-life balance, and co-worker support correlated with the overall quality of life. Employees working for more than five years had a higher quality of life than those working for one to three years.
Conclusions
This study recommends that certain activities or programs such as counseling services, meditation programs, and stress management training are needed to reduce employees’ job stress.
Anionic and Cationic Lipid Adjuvants individually induce distinct adaptive Th1/Th2-type immunity in enhancing post-intranasal immunization response against influenza
Authors: Sengupta Anirban , Al-Otaibi Noha , Devito Claudia , Lottersberger Francisca , Hinkula Jorma 
Published: September 2022

Abstract
At this time when vaccine development is at its peak against different respiratory diseases, it is of utmost importance to find suitable adjuvants that can increase the potency of the vaccine candidates. In this study, we have shown how anionic and cationic lipid adjuvants can differ in their mechanism to induce immune protection against influenza. In presence of Hemagglutinin (HA) antigen, the anionic adjuvant (L3) induces enhanced dendritic cell activity, CD80, and CD86 costimulatory marker expression, MHCII, and DEC205 expression, and T cell activation. On the contrary, the cationic adjuvant (N3) induces MHCI expression on dendritic cells along with the higher Th17 cell population and enhanced CD28 expression and activation of CD8T cells. They exhibited significantly higher interferon-gamma (IFNγ) within both CD4T and CD8T cells. L3 treated groups produce significantly higher B plasma cells and higher titers of anti-HA IgG and IgA with more neutralization capacity of the live virus than the N3 groups.
Thus, in this study, we illustrate how the use of differentially charged lipid adjuvants in combination with influenza HA antigen, drives differential adaptive immune response patterns. While anionic adjuvants are inducing better humoral response than cationic adjuvants, the latter influence significantly higher cell-mediated immunity. This will pave the way forward in the selection of the adjuvants in the future development of vaccine formulation targeting specific groups of individuals having a deficit in one or the other arm of adaptive immunity.
A novel composite of zinc-based Metal Organic Framework embedded with SnO 2 Nanoparticle as a Photocatalyst for Methylene Blue Dye Degradation as well as Fluorometric probe for Nitroaromatic Compounds Detection
Authors: - Deepika , - Heena , Kaur Manpreet , Dhaliwal Karamjit Singh , Malik Ashok Kumar 
Published: September 2022

Abstract
A facile bottom up technique is opted for the synthesis of
novel composite SnO2@Zn-BTC. This synthesized composite is fully
characterized by Fourier Transform Infrared (FTIR) Spectroscopy,
Powder X-Ray Diffraction (PXRD), Scanning Electron Microscopy
(SEM), Energy Dispersive X-Ray Spectroscopy (EDS), and Elemental
mapping techniques. Optical analysis is done using UV-Visible
absorption spectroscopy and fluorescence studies. Further this
composite is utilized for the first time to act as a photocatalyst
for degradation of MB dye as a test contaminant under sunlight
irradiation. This photocatalyst shows degradation efficiency of 89%
within 100 min of exposure of sunlight. In addition to that the
synthesized composite can be utilized as a fluorescence probe for
detection of NACs via ‘turn-off” quenching response. This composite
is extremely sensitive towards 3-NA in aqueous medium with
quenching efficiency of 75.42 %, which is highest quenching rate
till reported. There occurs no interference for detecting 3-NA in
the presence of other NACs. The linear fitting of the Stern-Volmer
plot for 3-NA shows large quenching constant (KSV) of 0.0115
ppb-1with correlation coefficient R2 = 0.9943 proves higher
sensitivity of composite in sensing process. The outstanding
sensitivity of composite for 3-NA is proved by low detection limit
(LOD) of 25 ppb (0.18 µM). Photoinduced Electron Transfer (PET) and
the Fluorescence Resonance Energy Transfer (FRET) are the
mechanisms used for clarification of quenching response of PL
intensity by NACs via Density functional theory (DFT) theoretical
calculations and extent spectral overlap, respectively. Hence,
synthesized composite is verified as multi-component system to act
as excellent photocatalyst as well as fluorescent sensor.
An Ultra-Wideband Bandstop Plasmonic Filter in Mid-Infrared Band Based on Metal-Insulator-Metal Waveguide Coupled with an Hexagonal Resonator
Authors: zegaar imane , Hocini Abdesselam , Harhouz Ahlam , Khedrouche Djamel , Salah Hocine Ben 
Published: September 2022

Abstract
An ultra-wideband bandstop plasmonic filter (UWB- BSF) in Mid-Infrared (MIR) band based on Metal-Insulator-Metal (MIM) waveguide coupled with an hexagonal resonator is proposed in this work. The designed BSF is investigated numerically and theoretically using the FDTD method. To improve the performance of the proposed nano-filter by broadening the stopband wavelength we increased the number of hexagonal resonators. Fano resonance appears with the addition of the second hexagonal resonator, it can be adjusted by tuning the separation distance S between the centers of two cavities. In addition, the filtering ranges and the center wavelength can be revised and shifted to longer wavelengths by varying the geometric parameters of hexagonal resonators. This nanostructure provides an advantageous application for plasmonic integrated circuits and broadband transmissions.
Exploring UK medical students' views on the inclusion of healthcare and climate change within undergraduate medical education - a national survey
Authors: Oungpasuk Kanapath , Jegatheeswaran Lavandan , Nakhoul Maria , Choi Byung 
Published: September 2022

Abstract
Background
Climate change is increasingly threatening human health. This study aims to establish UK medical students’ opinions on climate change and health outcomes as well as their opinion on the respective medical school curricula inclusion of this topic.
Methods
An online survey consisting of multiple-choice, Likert-scale questions and free text questions was distributed nationally.
Results
206 medical students responded. 173 (84%) and 188 (91.3%) were in agreement that climate change currently impacts health outcomes and it is important for healthcare professionals to be aware of this impact respectively. However, only 39 students were in agreement that they are confident discussing this topic with the patients, with only 38 students reporting environmental health teaching in their school and 15 students subjectively reporting this as adequate. Female students and students aged 40-44 were significantly more likely to agree that their medical school provides adequate education on climate change. 153 (74.3%) believe the inclusion of climate change related health topics should be mandatory during their training.
Conclusions
A majority of UK medical students surveyed, lack the confidence to counsel patients on climate change related health topics and perceive their respective medical school’s curricula coverage of this topic inadequate. This study demonstrates students’ demand and the gap in medical schools’ curricula on climate change related health topics across the UK. With an increasing health threat due to climate change, there is a need to update and evaluate the current medical school curricula.
SIMULASI PERUBAHAN BEBAN PEMBANGKIT LISTRIK TENAGA UAP: STUDI KASUS DI GORONTALO UTARA
Authors: Teguh Nurdin Hasananto , Darmadi Djarot Bangun , Yuliati Lilis 
Published: September 2022

Conceptual and design studies on 25 MW Northen Gorontalo steam based power plant are carried out under the existing comissioning data at four different load. The urgency of this study is related with supporting the prevention of greenhouse gass emission and completing indonesian power plant energy map. This observation conducted by simulating those condition in Gatecycle software and analyzing the output parameter to determine the power plant performance specifically heat rate, heat transfer duty, efficiency, power generated and fuel consumption.The study outcomes shows that heat rate at 50% TMCR was increased as much as 50 kcal/kwh as the load ramped down indicating power plant requires more energy to generate similar amount of power. While the fuel consumption, power, and efficiency proportionally werer increased as the power plant load ramping up. Comparing thirteen equipments heat transfer, condenser was conducting the highest heat transfer duty followed by boiler and first stage of superheater.
Worldwide Evolution of Vaccinable and Nonvaccinable Viral Skin Infections: Google Trends Analysis
Authors: Simonart Thierry , Lam Hoai Xuân-Lan , de Maertelaer Viviane 
Published: September 2022

Background
Most common viral skin infections are not reportable conditions. Studying the population dynamics of these viral epidemics using traditional field methods is costly and time-consuming, especially over wide geographical areas.

Objective
This study aimed to explore the evolution, seasonality, and distribution of vaccinable and nonvaccinable viral skin infections through an analysis of Google Trends.

Methods
Worldwide search trends from January 2004 through May 2021 for viral skin infections were extracted from Google Trends, quantified, and analyzed.

Results
Time series decomposition showed that the total search term volume for warts; zoster; roseola; measles; hand, foot, and mouth disease (HFMD); varicella; and rubella increased worldwide over the study period, whereas the interest for Pityriasis rosea and herpes simplex decreased. Internet searches for HFMD, varicella, and measles exhibited the highest seasonal patterns. The interest for measles and rubella was more pronounced in African countries, whereas the interest for HFMD and roseola was more pronounced in East Asia.

Conclusions
Harnessing data generated by web searches may increase the efficacy of traditional surveillance systems and strengthens the suspicion that the incidence of some vaccinable viral skin infections such as varicella, measles, and rubella may be globally increasing, whereas the incidence of common nonvaccinable skin infections remains stable.
Behavior Change App for Self-management of Gestational Diabetes: Design and Evaluation of Desirable Features
Authors: Kytö Mikko , Koivusalo Saila , Ruonala Antti , Strömberg Lisbeth , Tuomonen Heli , Heinonen Seppo , Jacucci Giulio 
Published: September 2022

Background
Gestational diabetes (GDM) has considerable and increasing health effects as it raises both the mother’s and the offspring’s risk for short- and long-term health problems. GDM can usually be treated with a healthier lifestyle, such as appropriate dietary modifications and sufficient physical activity. Although telemedicine interventions providing weekly or more frequent feedback from health care professionals have shown the potential to improve glycemic control among women with GDM, apps without extensive input from health care professionals are limited and have not been shown to be effective. Different features in personalization and support have been proposed to increase the efficacy of GDM apps, but the knowledge of how these features should be designed is lacking.

Objective
The aim of this study is to investigate how GDM apps should be designed, considering the desirable features based on the previous literature.

Methods
We designed an interactive GDM prototype app that provided example implementations of desirable features, such as providing automatic and personalized suggestions and social support through the app. Women with GDM explored the prototype and provided feedback in semistructured interviews.

Results
We identified that (1) self-tracking data in GDM apps should be extended with written feedback, (2) habits and goals should be highly customizable to be useful, (3) the app should have different functions to provide social support, and (4) health care professionals should be notified through the app if something unusual occurs. In addition, we found 2 additional themes. First, basic functionalities that are fast to learn by women with GDM who have recently received the diagnosis should be provided, but there should also be deeper features to maintain interest for women with GDM at a later stage of pregnancy. Second, as women with GDM may have feelings of guilt, the app should have a tolerance for and a supporting approach to unfavorable behavior.

Conclusions
The feedback on the GDM prototype app supported the need for desirable features and provided new insights into how these features should be incorporated into GDM apps. We expect that following the proposed designs and feedback will increase the efficacy of GDM self-management apps.

Trial Registration
ClinicalTrials.gov NCT03941652; https://clinicaltrials.gov/ct2/show/NCT03941652
From Testers to Cocreators—the Value of and Approaches to Successful Patient Engagement in the Development of eHealth Solutions: Qualitative Expert Interview Study
Authors: Jacob Christine , Bourke Steven , Heuss Sabina 
Published: September 2022

Background
Research has shown that patient engagement is most commonly done at the beginning of research or to test readily available prototypes and less commonly done in other phases such as the execution phases. Previous studies have reported that patients are usually assigned a consultative rather than a decision-making role in health service planning and evaluation.

Objective
This study had 2 objectives: to better understand the challenges and opportunities in the inclusion of patients in the development of eHealth technologies and ideas on how to overcome the identified gaps and to create a research-based end-to-end practical blueprint that can guide the relevant stakeholders to successfully engage patients as cocreators in all human-centered design phases rather than mere testers of preplanned prototypes.

Methods
Key informant interviews were conducted using in-depth semistructured interviews with 20 participants from 6 countries across Europe. This was followed by a focus group to validate the initial findings. Participants encompassed all the relevant stakeholder groups including patient experts, eHealth experts, health technology providers, clinicians, pharma executives, and health insurance experts.

Results
This study shows that engaging patients in eHealth development can help provide different types of value; namely, identifying unmet needs, better usability and desirability, better fit into the patient journey, better adoption and stickiness, better health outcomes, advocacy and trust, a sense of purpose, and better health equity and access. However, the participants agreed that patients are usually engaged too late in the development process, mostly assuming a sounding role in testing a ready-made prototype. The justification for these gaps in engagement is driven by some prominent barriers, notably compliance risks, patient-related factors, power dynamics, patient engagement as lip service, poor value perception, lack of resources, mistrust, and inflexibility. On the positive side, the participants also reflected on facilitators for better patient engagement; for instance, engaging through engagement partners, novel approaches such as the rise of professional patient experts, embedding patients in development teams, expectation management, and professional moderation services.

Conclusions
Overcoming the current gaps in patient engagement in eHealth development requires consolidated efforts from all stakeholders in a complex health care ecosystem. The shift toward more patient-driven eHealth development requires education and awareness; frameworks to monitor and evaluate the value of patient engagement; regulatory clarity and simplification; platforms to facilitate patient access and identification; patient incentivization, transparency, and trust; and a mindset shift toward value-based health care.