bluuebunny/crossref_metadata_2025 huggingface dataset:
Motivational Profiles in Unemployment: A Self-Determination Perspective
Authors: van der Vaart Leoni , Van den Broeck Anja , Rothmann Sebastiaan , De Witte Hans
Published: April 2022

In general, being unemployed has negative implications for the individual and the mental health of the public as a collective. One way to escape this situation is to search for a job. However, following self-determination theory (SDT), unemployed people's different reasons (i.e., their motivation) for engaging in a job search influence their well-being, attitudes, and behaviors for better or worse. Some research has already supported the associations between different types of motivation and these outcomes, but less is known about how these types of motivation simultaneously associate with these outcomes. The current study addressed this issue by studying how different motivational profiles had different implications for the affective experiences, commitment to employment, and job search behavior of the unemployed. Latent profile analysis, among 865 unemployed individuals from previously disadvantaged communities in South Africa, highlighted four distinct motivational profiles: motivated, ambivalent, amotivated, and unmotivated. The motivated reported some good well-being (i.e., positive experiences) and economic outcomes (i.e., employment commitment and job search), but these came at a cost (i.e., more negative experiences). The same went for the ambivalent, but to a lesser extent. Being unmotivated seemed to have the opposite effect in that it came with psychological benefits, but with economic costs, as these individuals might withdraw from the labor market. This also applied to the amotivated, although they experienced less psychological benefit than their unmotivated counterparts. The findings made several contributions to SDT and unemployment research and could help tailor interventions and policies for particular types of unemployed people.
Magnitude and Determinant Factors of Herbal Medicine Utilization Among Mothers Attending Their Antenatal Care at Public Health Institutions in Debre Berhan Town, Ethiopia
Authors: Wake Getu Engida , Fitie Girma Wogie
Published: April 2022

Background

World health organization defined herbal medicines as the practice of herbs, herbal materials, herbal preparations, and finished herbal products. Globally women are the primary utilizer of herbal medicine and even they consume it during their pregnancy period. The World health organization reported that the majority of the global population used traditional medicine. This study aimed to assess the magnitude and determinant factors of herbal medicine utilization among pregnant mothers attending their antenatal care at public health institutions in Debre Berhan town, Ethiopia.

Methodology

Institution-based cross-sectional study was conducted among pregnant mothers who attended their antenatal care at public health institutions in Debre Berhan town, Ethiopia from 12 February 2021 to 12 April 2021. A systematic random sampling method was used to get selected pregnant mothers. Epi data version 3.1 and SPSS version 25 were used for data entry and analysis, respectively. P-value ≤0.05 was used as a cut point of statistical significance in multivariable binary logistic regression.

Results

A total of 422 pregnant mothers were included with a 100% response rate and 277 (65.6%) of them used an herbal medicine during their current pregnancy. Educational level up to primary school [AOR 2.21, 95% CI: 1.17 – 4.18], monthly family income of <2,800 ETB [AOR 1.72, 95% CI: 1.01–2.92], and lack of awareness of the complication of herbal medicine utilization [AOR 10.3, 95% CI: 6.27–16.92] were determinant factors of herbal medicine utilization.

Conclusion

The utilization of herbal medicine among pregnant mothers in this study is high and almost all of them did not disclose their utilization of herbal medicine to their healthcare providers. The ministry of health should integrate traditional medicine with conventional medicines. Midwives and obstetricians should openly discuss regarding benefits and complications of herbal medicine utilization for those pregnant mothers during their antenatal care counseling sessions as routine care.
AI-Enabled Opportunities and Transformation Challenges for SMEs in the Post-pandemic Era: A Review and Research Agenda
Authors: Lu Xiaoqian , Wijayaratna Kumud , Huang Yufei , Qiu Aimei
Published: April 2022

The negative impact of COVID-19 pandemic has seen SME's struggling around the world. With many quickly adopting digital technologies, such as AI, in their manufacturing or services operations to achieve sustainable development. This study aims to develop a framework that informs AI-enabled sustainable development for SMEs by integrating the relevant research in the field. In this framework, we identify the opportunities that the deployment of AI technology can do to alleviate the plights of SMEs in the post-pandemic era, including the impacts on work, organizations, and performance. We further explore the challenges that SMEs face in AI transformation and recommend strategies to take on those challenges. Finally we propose an agenda for future research based on technological challenges and environmental threats.
Effect Evaluation of Mental Nursing in Nursing of Young Cancer Patients Based on Big Data
Authors: Ren Yuanpeng
Published: April 2022

The field of mental health nursing has always been special, dynamic, and flexible in terms of enhancing individuals' quality of life. Mental health nursing is all about caring for individuals with mental health disorders with the aim of helping them recover from illness, thereby improving their living conditions. Health Education of mental nursing emphasizes on providing special care to patients and optimally fulfills the clinical outcomes of the patients. It has been widely accepted that mental illness negatively influences the well-being of individuals, irrespective of their age, origin, demography, social status, and economic status. Young patients diagnosed with cancer report that they have a poor quality of life, as they undergo several physical and psychological needs, especially after the surgery and other cancer-related treatments. Thus, this study aims to examine the effect of mental health nursing on nursing young patients with cancer, based on the big data. Thus, the study conducts longitudinal analysis of the data gathered from the young patients with cancer, monitored by mental health nurse, with advanced practice nurse (APN) interventions. Results of the study stated that APN interventions positively impacted the physical as well as psychological needs of the research subjects. Mental nursing interventions resulted in positive clinical outcomes of the patients.
Using Facial Landmark Detection on Thermal Images as a Novel Prognostic Tool for Emergency Departments
Authors: Baskaran Ruben , Møller Karim , Wiil Uffe Kock , Brabrand Mikkel
Published: April 2022

Introduction

Emergency departments (ED) at hospitals sometimes experience unexpected deterioration in patients that were assessed to be in a stable condition upon arrival. Odense University Hospital (OUH) has conducted a retrospective study to investigate the possibilities of prognostic tools that can detect these unexpected deterioration cases at an earlier stage. The study suggests that the temperature difference (gradient) between the core and the peripheral body parts can be used to detect these cases. The temperature between the patient's inner canthus (core temperature) and the tip of the nose (peripheral temperature) can be measured with a thermal camera. Based on the temperature measurement from a thermal image, a gradient value can be calculated, which can be used as an early indicator of potential deterioration.

Problem

The lack of a tool to automatically calculate the gradient has prevented the ED at OUH in conducting a comprehensive prospective study on early indicators of patients at risk of deterioration. The current manual way of doing facial landmark detection on thermal images is too time consuming and not feasible as part of the daily workflow at the ED, where nurses have to triage patients within a few minutes.

Objective

The objective of this study was to automate the process of calculating the gradient by developing a handheld prognostic tool that can be used by nurses for automatically performing facial landmark detection on thermal images of patients as they arrive at the ED.

Methods

A systematic literature review has been conducted to investigate previous studies that have been done for applying computer vision methods on thermal images. Several meetings, interviews and field studies have been conducted with the ED at OUH in order to understand their workflow, formulate and prioritize requirements and co-design the prognostic tool.

Results

The study resulted in a novel Android app that can capture a thermal image of a patient's face with a thermal camera attached to a smartphone. Within a few seconds, the app then automatically calculates the gradient to be used in the triage process. The developed tool is the first of its kind using facial landmark detection on thermal images for calculating a gradient that can serve as a novel prognostic indicator for ED patients.
A Unified Framework on Generalizability of Clinical Prediction Models
Authors: Wan Bohua , Caffo Brian , Vedula S. Swaroop
Published: April 2022

To be useful, clinical prediction models (CPMs) must be generalizable to patients in new settings. Evaluating generalizability of CPMs helps identify spurious relationships in data, provides insights on when they fail, and thus, improves the explainability of the CPMs. There are discontinuities in concepts related to generalizability of CPMs in the clinical research and machine learning domains. Specifically, conventional statistical reasons to explain poor generalizability such as inadequate model development for the purposes of generalizability, differences in coding of predictors and outcome between development and external datasets, measurement error, inability to measure some predictors, and missing data, all have differing and often complementary treatments, in the two domains. Much of the current machine learning literature on generalizability of CPMs is in terms of dataset shift of which several types have been described. However, little research exists to synthesize concepts in the two domains. Bridging this conceptual discontinuity in the context of CPMs can facilitate systematic development of CPMs and evaluation of their sensitivity to factors that affect generalizability. We survey generalizability and dataset shift in CPMs from both the clinical research and machine learning perspectives, and describe a unifying framework to analyze generalizability of CPMs and to explain their sensitivity to factors affecting it. Our framework leads to a set of signaling statements that can be used to characterize differences between datasets in terms of factors that affect generalizability of the CPMs.
Water Stress, Peri-Urbanization, and Community-Based Water Systems: A Reflective Commentary on the Metropolitan Area of Mexico City
Authors: Chen Yu , Bilton Amy M.
Published: April 2022

With a population of over 22 million, Mexico City's metropolitan area is facing enormous water security challenges. Its supply heavily relies on overdraft of groundwater and import from neighboring basins, leading to problems such as subsidence and raising concern over its sustainability. The impacts of the water stress in Mexico City are highly unequal across the metropolitan area and particularly severe in low-income peri-urban neighborhoods. This paper will first review the current water stress in Mexico City, its impacts on vulnerable communities, as well as some existing technical and institutional approaches aiming to tackle these challenges. We will then focus on the community-based water management systems in Mexico City's peri-urban areas, based on the case of Tecámac, one of the 59 municipalities that form the conurbation area. We will discuss the local water politics in the municipality, the historical evolution of the community-based water system, SAPTEMAC, as well as its current agenda. This essay highlights the importance of incorporating the community-based water systems in the development toward a solution to the water crisis in megacities like Mexico City: not only do they serve as provider of potable water to a considerable number of households, but they also represent a collective resistance against the speculation-driven (peri) urbanization and can make substantial contribution to the promotion of a comprehensive water reform in the country.
Airports' Sustainability Strategy: Evaluation Framework Upon Environmental Awareness
Authors: Dimitriou Dimitrios , Karagkouni Aristi
Published: April 2022

Global sustainability challenges are reshaping how businesses operate in the 21st century. The necessary condition of ensuring economic, social, and environmental sustainability, also affects the functioning of regulatory authorities and businesses, particularly in the air transport sector, which, by facilitating access to productive services and connectivity to markets, is a critical contributor to the economy. Businesses are increasingly being pressed by decision makers (e.g., stakeholders, shareholders, customers, employees, and society) to assess their socioeconomic impacts and manage their actions sustainably and resiliently. As a result, effective management is a top priority not only for airport operators and authorities, but also for the national and local economies in this competitive and economically sensitive environment. The purpose of this article is to present an assessment tool for evaluating airport strategic plans and environmental reports, and address how corporate actions can promote sustainability in the frame of environmental awareness in operating large transport hubs. The assessment methodology is based on a comparative analysis between airports and regulatory authorities' threshold. The role of sustainability in the air transport business ecosystem is depicted, demonstrating that its relationship to business performance is a significant barrier to business resilience and competition for planners, managers, and decision makers. The numerical application considers a group of 10 European International airports delivering international flights and business. Conventional wisdom is to provide the evaluation analysis framework for planning and managing capital-intensive transport hubs such as airports.
Augmented Perception Through Spatial Scale Manipulation in Virtual Reality for Enhanced Empathy in Design-Related Tasks
Authors: Zhang Jingjing , Dong Ze , Bai Xiaoliang , Lindeman Robert W. , He Weiping , Piumsomboon Thammathip
Published: April 2022

This research explores augmented perception by investigating the effects of spatial scale manipulation in Virtual Reality (VR) to simulate multiple levels of virtual eye height (EH) and virtual interpupillary distance (IPD) of the VR users in the design context. We have developed a multiscale VR system for design applications, which supports a dynamic scaling of the VR user’s EH and IPD to simulate different perspectives of multiple user’s groups such as children or persons with disabilities. We strongly believe that VR can improve the empathy of VR users toward the individual sharing or simulating the experience. We conducted a user study comprising two within-subjects designed experiments for design-related tasks with seventeen participants who took on a designer’s role. In the first experiment, the participants performed hazards identification and risks assessment tasks in a virtual environment (VE) while experiencing four different end-user perspectives: a two-year-old child, an eight-year-old child, an adult, and an adult in a wheelchair. We hypothesized that experiencing different perspectives would lead to different design outcomes and found significant differences in the perceived level of risks, the number of identified hazards, and the average height of hazards found. The second experiment had the participants scale six virtual chairs to a suitable scale for different target end-user groups. The participants experienced three perspectives: a two-year-old child, an eight-year-old child, and an adult. We found that when the designer’s perspective matched that of the intended end-user of the product, it yielded significantly lower variance among the designs across participants and more precise scales suitable for the end-user. We also found that the EH and IPD positively correlate with the resulting scales. The key contribution of this work is the evidence to support that spatial scale manipulation of EH and IPD could be a critical tool in the design process to improve the designer’s empathy by allowing them to experience the end-user perspectives. This could influence their design, making a safer or functionally suitable design for various end-user groups with different needs.
River Response to Melting Cryosphere Since Late Quaternary in the Pir Panjal Range of NW Himalaya
Authors: Dar Reyaz Ahmad , Murtaza Khalid Omar , Paul Omar Jaan , Nisa Azra Un , Akhter Nida , Dar Farooq Ahmad , Mir Riyaz Ahmad
Published: April 2022

Rambiara River basin, a sub-basin of the Upper Indus, is dotted with fluvial and glacial geomorphic landforms. The presence of large number of glacial landforms like moraines, cirques, aretes, U-shaped valleys, etc. reflects the enormous erosive power of the past glaciers. During the Last Glacial Maximum (LGM), glaciers on average were 200 m thick and extended more than 10 km from the present-day cirque marks. Rock glaciers outnumber the clean glaciers that cover an area of 0.22 and 1.25 km2, respectively, in the basin. Glacial lakes are the prominent features in the higher reaches of the basin and occupy an area ranging from 0.01 to 0.70 km2. Downstream, the river is characterized by large channel width, anomalous sinuosity, braided pattern, and the presence of unpaired fluvial terraces. The large channel width depicts the enormous discharge from the glacial- and snow-melt during the Late Pleistocene when glaciers covered most of the Pir Panjal. After LGM, the glacier cover and the river discharge significantly decreased as highlighted by a large number of braided bars and the narrow stream to which the river is reduced. The warming trends observed across the Himalayas encompassing the Pir Panjal Range since the last century has further contributed significantly to the glacier recession in the basin.
Therapeutic Potential of Long Non-Coding RNAs of HIV-1, SARS-CoV-2, and Endogenous Retroviruses
Authors: Ruiz Ramírez Andrea Virginia , Prado Montes de Oca Ernesto
Published: April 2022

Long non-protein coding RNAs (lncRNAs, predicted to be up to 200,000 in the human genome) are nucleic acids of more than 200 nucleotides that not only play primordial roles in the regulation of chromatin states, but also are capable of decoying or scaffolding proteins (e.g., transcription factors, TFs; host and viral proteins), DNA (e.g., promoters and enhancers), and RNA (e.g., miRNAs and hnRNAs) in 3D conformations acting in a chaperonin-like fashion. Specifically, lncRNAs modulate gene expression during the regulatory layers of transcription, RNA processing (splicing and indirectly editing), translation, and post-translational modifications including phosphorylation, acetylation, and ubiquitination. Accumulated evidence indicates that lncRNAs regulate antiviral immune responses mainly by transcription of IFN regulatory factors 1 (IRF1) and 4 (IRF4), which contribute to type I interferon (IFNα and IFNβ) upregulation. Some of the most common TFs regulated by lncRNAs are TP53, CTCF, MYC, SOX2, EZH2 SFPQ, SUZ12, STAT1, STAT3, and NF-kappa B. In this review, the known functions of selected lncRNAs genes in HIV/AIDS (MALAT1, HEAL, NRON, TAR-gag, TP53COR1/lincRNA-p21, NEAT1, NKILA, LINC01426 [formerly Uc002yug.2], FAS-AS1, LINC00173 [formerly FLJ42957/NCRNA00173], GAS5, and HIV-encoded antisense lncRNA) and COVID-19 (EGOT, MALAT1, NEAT1, DANCR, HOTAIR, FENDRR, LINC1505, FALCOR, and HISLA) are discussed. Furthermore, MALAT1 is also involved in subsequent complications such as deep vein thrombosis (DVT) in COVID-19. In addition, after the increased understanding of the role of lncRNAs from Human Endogenous Retroviruses (HERVs, predicted to be at least 582 different with 725,763 repeats of them in the human genome) in cancer (TROJAN) and heart development (BANCR), transcripts of HERVs as lnc-EPAV and lnc-ALVA1-AS1 have recently drawn attention as host protective agents against viral infections. A deeper knowledge of host and viral lncRNAs interactions and their regulation will pave the way for the design of novel drugs inspired by host- and viral-encoded lncRNAs. These novel drugs have the potential to reduce the burden of HIV/AIDS and COVID-19 twofold: (1) by increasing their efficacy and (2) by minimizing the side effects of current drugs. We expect that lncRNA drugs will be able to modulate human and viral transcription in an unprecedented way but still effectively maintain homeostasis by deploying functionality below the pathogenic threshold.
Viral Infections and Temporal Programming of Autism Spectrum Disorders in the Mother's Womb
Authors: Jash Sukanta , Sharma Surendra
Published: April 2022

Recent reports have suggested a tight relationship between viral infections and neurodevelopmental disorders. In this regard, fetal brain damage can be caused by direct viral infection or induced immune responses and cytokine storm. Although recent years have seen phenomenal progress in diagnosing autism spectrum disorders (ASD) and identifying genetic and epigenetic causative factors contributing to this group of neurodevelopmental disorders, almost 60% cases in children remain of unknown etiology. Little is known about the collective pathophysiology of ASD. In this regard, epidemiological data suggest that viral infections during pregnancy are associated with high risk of having an autistic child. Although SARS-CoV-2 infections have been documented in pregnant women, we do not yet know whether COVID-19 pandemic will contribute to the onset of autism-like features in the offspring or impact autistic individuals. We hypothesize that ASD are programmed in the mother's womb and that uterine, not peripheral, immune activation is the initial trigger to induce fetal brain developmental anomalies. We further hypothesize that exposure to infections only during a temporal window of pregnancy impact the onset of ASD-like pathology, particularly in the male fetus/offspring. We will discuss the role of uterine regulatory T cells and their inflammatory trans-differentiation in the pathophysiology of ASD and comment on possible therapeutic intervention options.
Model-Independent Observer-Based Current Sensorless Speed Servo Systems with Adaptive Feedback Gain
Authors: Lim Sun , Kim Seok-Kyoon , Kim Ki-Chan
Published: April 2022

This study proposes a solution to the speed control problem of servo machines in the form of multi-loop current sensorless control with a reduction in the system model dependence level and the number of feedback loops, which provides the two contributions: first, a model-independent observer estimates speed and acceleration using only the position measurement, thereby ensuring the first-order estimation error dynamics; second, the active damping acceleration stabilizes the inner loop with the adaptive feedback gain increasing and decreasing automatically according to the transient and steady-state operation modes. The experimental study highlighted the effectiveness of the acceleration loop adaptation technique, which used an actual servo system comprising the QUBE-servo2 and myRIO-1900.
Feed Preference, Daily Intake, and Laying Performance of Captive-Born Sardinian Partridges (Alectoris barbara barbara Bonnaterre, 1790) Offered Whole Defrosted Mealworms (Tenebrio molitor L., 1758) as Raw Feed Material with Diet
Authors: Ahmed Fahad , Pudda Flavia , Muzzeddu Marco , Pedrini Andrea , Serra Giuseppe , Knoll Stephane , Morrone Sarah , Nery Joana , Schiavone Achille , Seidavi Alireza , Cappai Maria Grazia
Published: April 2022

The competence to locate natural feeding sources is one of the main limiting factors for survival in the wild, especially for captive-born birds. Therefore, environmental enrichment through the diet can be strategic before their release into nature. In this research, a feeding trial was undertaken to evaluate the potential use of yellow mealworm (Tenebrio molitor L.) larvae (TM) provisions to captive bred couples of Sardinian partridges (Alectoris barbarabarbara Bonaterre, 1790) during the laying period. Twenty-four couple-caged Sardinian breeding partridges were enrolled during the laying period (April–May 2019) and randomly allotted to two feeding groups of 12 couples each: (a) the control (CON) group was fed a conventional complete pelleted diet for laying quails; (b) the yellow mealworm enriched group was additionally fed 5% whole, defrosted TM larvae (TM5%) on top of the same amount of the control diet. As a prerequisite, partridges were unaccustomed to eating mealworms before the start of the trial. Daily feed intake (DFI), bodyweight (BW), and number of laid eggs (LE) were monitored over five weeks of experimental feeding. Partridges fed the TM5% diet displayed a higher preference for whole mealworms (first choice and complete consumption) than expressed for the CON pelleted feed. Differences in daily dry matter intake (p = 0.028) between CON and TM5% groups were observed (DMI: 42.6 ± 1.73 vs. 43.4 ± 1.62 g, respectively); the final body weights (BW) (p = 0.098) of birds in the CON group was higher than those in the TM5% group (435 ± 36.9 vs. 416 ± 36.3 g, respectively). Differences in daily energy intake relative to BW (p < 0.001) as well as relative to metabolic weight (BW0.75) (p < 0.001) were observed between groups, but this was not followed by higher BW, probably due to the absence of grit and inaccessible nutrients and energy (larval exoskeleton). No difference in the average LE per week and egg weight was observed between CON and the enriched TM5% groups, though in the last weeks, a statistically lower number of eggs was laid in TM5% group. Our results suggest that whole yellow mealworms can be a promising feed material to broaden the spectrum of competence for natural feeding sources with similar physical form and nutritional characteristics available in the environment.
Weedy Rice Classification Using Image Processing and a Machine Learning Approach
Authors: Ruslan Rashidah , Khairunniza-Bejo Siti , Jahari Mahirah , Ibrahim Mohd Firdaus
Published: April 2022

Weedy rice infestation has become a major problem in all rice-growing countries, especially in Malaysia. Challenges remain in finding a rapid technique to identify the weedy rice seeds that tend to pose similar taxonomic and physiological features as the cultivated rice seeds. This study presents image processing and machine learning techniques to classify weedy rice seed variants and cultivated rice seeds. A machine vision unit was set up for image acquisition using an area scan camera for the Red, Green and Blue (RGB) and monochrome images of five cultivated rice varieties and a weedy rice seed variant. Sixty-seven features from the RGB and monochrome images of the seed kernels were extracted from three primary parameters, namely morphology, colour and texture, and were used as the input for machine learning. Seven machine learning classifiers were used, and the classification performance was evaluated. Analyses of the best model were based on the overall performance measures, such as the sensitivity, specificity, accuracy and the average correct classification of the classifiers that best described the unbalanced dataset. Results showed that the best optimum model was developed by the RGB image using the logistic regression (LR) model that achieved 85.3% sensitivity, 99.5% specificity, 97.9% accuracy and 92.4% average correct classification utilising all the 67 features. In conclusion, this study has proved that the features extracted from the RGB images have higher sensitivity and accuracy in identifying the weedy rice seeds than the monochrome images by using image processing and a machine learning technique with the selected colour, morphological and textural features.
Prospective Practice for Compound Stress Tolerance in Thyme Plants Using Nanoparticles and Biochar for Photosynthesis and Biochemical Ingredient Stability
Authors: Mahmoud Abdel Wahab M. , Esmail Sanaa E. A. , El-Attar Asmaa B. , Othman Eman Z. , El-Bahbohy Reham M.
Published: April 2022

Global climatic change leads to many detrimental effects on all life forms. Outstanding case, salinity, and drought are considered multidimensional stress that severely affect plant growth and sustainable agriculture. Thymus vulgaris is a medicinal plant that has phytochemical constituents, and it is threatened by several abiotic stresses caused by climate change. Therefore, the present study aims to evaluate the physiological response and thyme tolerance grown on a newlyreclaimed saline sandy soil under drought conditions and treated by biochar-loaded biofertilizers, nano-zeolite, and nano-silicon through two consecutive seasons. The nanoparticles enhanced plant growth and alleviated the adverse effect of drought. Additionally, a synergistic effect was noticed when combining nanoparticles and biofertilizers. The quadruple combined treatment of nano-zeolite, nano-silicon, biochar, and organic matter (T7) significantly increased thyme morphological traits, photosynthetic parameters, oil, and yield compared to control treatment. Additionally, T7 increased the concentration of endogenous nutrients (N, P, K, Na, Ca, Mg, Zn, Fe, Mn), proline, total phenols, and total flavonoids, in addition to indoleacetic acid, gibberellic acid, and antioxidant enzymes in thyme compared to other treatments. T7 showed the lowest concentration of soluble sugars, abscisic acid, and transpiration rate. Interestingly, T7 increased the medicinal benefits of thyme by increasing its vital hydrocarbons, and oxygenated compounds. These findings introduce a dual benefit of nano-fertilizers in combination with biochar and organic matter in ameliorating soil salinity and drought along with increasing thymegrowth, productivity, and therapeutic value.
Pectolinarin Inhibits the Bacterial Biofilm Formation and Thereby Reduces Bacterial Pathogenicity
Authors: Kim Daseul , Kim Ki-Young
Published: April 2022

Bacterial biofilms are a growing problem as it is a major cause of nosocomial infection from urinary catheters to chronic tissue infections and provide resistance to a variety of antibiotics and the host’s immune system. The effect of pectolinarin on the biofilm formation in Enterococcus faecalis, Enterococcus faecium, Escherichia coli, Streptococcus mutans, Streptococcus sobrinus, Staphylococcus aureus, Pseudomonas aeruginosa, Cutibacterium acnes, and Porphyromonas gingivalis was studied in TSBg (tryptic soy broth supplemented with 1% glucose). Pectolinarin inhibited biofilm formation of E. faecalis (IC50 = 0.39 μg/mL), E. faecium (IC50 = 0.19 μg/mL), E. coli (IC50 = 0.25 μg/mL), S. mutans (IC50 = 1.2 μg/mL), S. sobrinus (IC50 = 1.4 μg/mL), S. aureus (IC50 = 0.39 μg/mL), P. aeruginosa (IC50 = 0.9 μg/mL), P. acnes (IC50 = 12.5 μg/mL), and P. gingivalis (IC50 = 9.0 μg/mL) without inhibiting the bacterial growth. Pectolinarin also showed increased susceptibility of antibacterial activity with commercially available antibiotics including ampicillin, vancomycin, streptomycin, and oxytetracyclin against E. faecalis and E. faecium. Finally, pectolinarin dose-dependently reduced the expression of genes including cytolysin genes (cylLS, cylR2 and cylM), quorum sensing (QS) genes (fsrB, fsrC, gelE, ebpA, ebpB, acm, scm and bps), and biofilm virulence genes (esp) of E. faecalis and E. faecium. Pectolinarin reduced the bacterial biofilm formation, activated the antibacterial susceptibility, and reduced the bacterial adherence. These results suggest that bacterial biofilm formation is a good target to develop the antibacterial agents against biofilm-related infections.
Chlorhexidine Improves Hygiene Reducing Oral Polymorphonuclear Leukocytes with Antimicrobial Effects at Distinct Microenvironments amongst Subjects Stratified by Health Status
Authors: Sreenivasan Prem K. , Haraszthy Violet. I.
Published: April 2022

Oral conditions such as gingivitis and oral malodor are commonly reported globally. Objective: This investigation clinically stratified subjects to healthy, malodor and gingivitis groups and enumerated oral polymorphonuclear leukocytes (PMN) as a measure of inflammation prior to and after rinsing with a chlorhexidine (CHX) mouthwash. The study also assessed clinical outcomes (dental plaque and gingival bleeding indices), malodor (halimeter scores, organoleptic and tongue coat index and microbiological parameters (anaerobic and malodor organisms of dental plaque, tongue surface and saliva) for a comprehensive assessment of the oral inflammatory burden. Methods: Consenting adults were stratified into control (n = 17), gingivitis (n = 19) and halitosis (n = 17) groups based on clinical criteria. At baseline, oral samples were examined for PMN in addition to microbiological analysis of dental plaque, saliva and tongue scrapings for anaerobic and malodor bacteria. Subjects were issued a commercially available fluoride toothpaste and a chlorhexidine mouthwash for two-week use prior to post-treatment assessments identical to baseline. Results: At baseline, PMN were lowest in the control that increased amongst the halitosis subjects, with the gingivitis group registering the highest levels (p < 0.05) with these outcomes corresponding with clinical parameters (p < 0.05). CHX use improved outcomes with a 56–61% reduction in PMN with significant differences between groups (p < 0.05). Dental plaque and bleeding indices were lower by 57–78% with oral malodor, demonstrating reductions of 33–59% (p < 0.05). Significant reductions in anaerobic and malodor organisms ranging from 78–96% and 76–94%, respectively, were noted after CHX use (p < 0.05). Conclusions: At study enrollment, PMN scores were lowest in healthy subjects, with increasing numbers amongst halitosis followed by gingivitis. Amongst all subject groups, CHX use significantly reduced oral PMN and corroborated with corresponding decreases in clinical, malodor and bacterial outcomes. Together, these results demonstrate the significant reductions in the oral inflammatory burden following CHX use.
Recent Developments in Methicillin-Resistant Staphylococcus aureus (MRSA) Treatment: A Review
Authors: Nandhini Palanichamy , Kumar Pradeep , Mickymaray Suresh , Alothaim Abdulaziz S. , Somasundaram Jayaprakash , Rajan Mariappan
Published: April 2022

Staphylococcus aureus (S. aureus) is a Gram-positive bacterium that may cause life-threatening diseases and some minor infections in living organisms. However, it shows notorious effects when it becomes resistant to antibiotics. Strain variants of bacteria, viruses, fungi, and parasites that have become resistant to existing multiple antimicrobials are termed as superbugs. Methicillin is a semisynthetic antibiotic drug that was used to inhibit staphylococci pathogens. The S. aureus resistant to methicillin is known as methicillin-resistant Staphylococcus aureus (MRSA), which became a superbug due to its defiant activity against the antibiotics and medications most commonly used to treat major and minor infections. Successful MRSA infection management involves rapid identification of the infected site, culture and susceptibility tests, evidence-based treatment, and appropriate preventive protocols. This review describes the clinical management of MRSA pathogenesis, recent developments in rapid diagnosis, and antimicrobial treatment choices for MRSA.
Attenuation of Cigarette-Smoke-Induced Oxidative Stress, Senescence, and Inflammation by Berberine-Loaded Liquid Crystalline Nanoparticles: In Vitro Study in 16HBE and RAW264.7 Cells
Authors: Paudel Keshav Raj , Panth Nisha , Manandhar Bikash , Singh Sachin Kumar , Gupta Gaurav , Wich Peter R. , Nammi Srinivas , MacLoughlin Ronan , Adams Jon , Warkiani Majid Ebrahimi , Chellappan Dinesh Kumar , Oliver Brian G. , Hansbro Philip M. , Dua Kamal
Published: April 2022

Cigarette smoke is considered a primary risk factor for chronic obstructive pulmonary disease. Numerous toxicants present in cigarette smoke are known to induce oxidative stress and airway inflammation that further exacerbate disease progression. Generally, the broncho-epithelial cells and alveolar macrophages exposed to cigarette smoke release massive amounts of oxidative stress and inflammation mediators. Chronic exposure of cigarette smoke leads to premature senescence of airway epithelial cells. This impairs cellular function and ultimately leads to the progression of chronic lung diseases. Therefore, an ideal therapeutic candidate should prevent disease progression by controlling oxidative stress, inflammation, and senescence during the initial stage of damage. In our study, we explored if berberine (an alkaloid)-loaded liquid crystalline nanoparticles (berberine-LCNs)-based treatment to human broncho-epithelial cells and macrophage inhibits oxidative stress, inflammation, and senescence induced by cigarette-smoke extract. The developed berberine-LCNs were found to have favourable physiochemical parameters, such as high entrapment efficiency and sustained in vitro release. The cellular-assay observations revealed that berberine-LCNs showed potent antioxidant activity by suppressing the generation of reactive oxygen species in both broncho-epithelial cells (16HBE) and macrophages (RAW264.7), and modulating the genes involved in inflammation and oxidative stress. Similarly, in 16HBE cells, berberine-LCNs inhibited the cigarette smoke-induced senescence as revealed by X-gal staining, gene expression of CDKN1A (p21), and immunofluorescent staining of p21. Further in-depth mechanistic investigations into antioxidative, anti-inflammatory, and antisenescence research will diversify the current findings of berberine as a promising therapeutic approach for inflammatory lung diseases caused by cigarette smoking.
Probing the Role of Cysteine Thiyl Radicals in Biology: Eminently Dangerous, Difficult to Scavenge
Authors: Moosmann Bernd , Hajieva Parvana
Published: April 2022

Thiyl radicals are exceptionally interesting reactive sulfur species (RSS), but rather rarely considered in a biological or medical context. We here review the reactivity of protein thiyl radicals in aqueous and lipid phases and provide an overview of their most relevant reaction partners in biological systems. We deduce that polyunsaturated fatty acids (PUFAs) are their preferred reaction substrates in lipid phases, whereas protein side chains arguably prevail in aqueous phases. In both cellular compartments, a single, dominating thiyl radical-specific antioxidant does not seem to exist. This conclusion is rationalized by the high reaction rate constants of thiyl radicals with several highly concentrated substrates in the cell, precluding effective interception by antioxidants, especially in lipid bilayers. The intractable reactivity of thiyl radicals may account for a series of long-standing, but still startling biochemical observations surrounding the amino acid cysteine: (i) its global underrepresentation on protein surfaces, (ii) its selective avoidance in aerobic lipid bilayers, especially the inner mitochondrial membrane, (iii) the inverse correlation between cysteine usage and longevity in animals, (iv) the mitochondrial synthesis and translational incorporation of cysteine persulfide, and potentially (v) the ex post introduction of selenocysteine into the genetic code.
The Intertwined Roles of Oxidative Stress and Endoplasmic Reticulum Stress in Glaucoma
Authors: Hurley Daire John , Normile Caoimhe , Irnaten Mustapha , O’Brien Colm
Published: April 2022

Glaucoma is the leading cause of irreversible blindness worldwide, and the burden of the disease continues to grow as the global population ages. Currently, the only treatment option is to lower intraocular pressure. A better understanding of glaucoma pathogenesis will help us to develop novel therapeutic options. Oxidative stress has been implicated in the pathogenesis of many diseases. Oxidative stress occurs when there is an imbalance in redox homeostasis, with reactive oxygen species producing processes overcoming anti-oxidant defensive processes. Oxidative stress works in a synergistic fashion with endoplasmic reticulum stress, to drive glaucomatous damage to trabecular meshwork, retinal ganglion cells and the optic nerve head. We discuss the oxidative stress and endoplasmic reticulum stress pathways and their connections including their key intermediary, calcium. We highlight therapeutic options aimed at disrupting these pathways and discuss their potential role in glaucoma treatment.
Development of a High-Power Surface Grating Tunable Distributed-Feedback Bragg Semiconductor Laser Based on Gain-Coupling Effect
Authors: Li Xin , Liang Lei , Qin Li , Lei Yuxin , Jia Peng , Tang Hui , Yang Changjin , Chen Yongyi , Wang Yubing , Song Yu , Qiu Cheng , Zheng Chuantao , Wang Lijun
Published: April 2022

Lasers used for space communication, lidar, and laser detection in space-air-ground integration applications typically use a traditional 1550 nm band tunable distributed-feedback Bragg (DFB) semiconductor laser. This has low output power, complex fabrication process, and high fabrication cost. In this paper, we present a gain-coupled surface grating-based 1550 nm DFB semiconductor laser that can be fabricated without the use of secondary epitaxial growth techniques or high-precision lithography. The periodic electrical injection is used to achieve a gain coupling effect. A tapered waveguide is added to achieve a high output power, and the use of AlGaInAs multiple quantum wells in the active region reduces the linewidth of the laser. A continuous-wave (CW)output power of 401.5 mW is achieved at 20 °C, the maximum side mode rejection ratio exceeds 55 dB, the measured 3 dB linewidth is 18.86 MHz, and the stable single-mode output with a quasi-continuous tuning range of 6.156 nm near 1550 nm from 10 °C to 50 °C. This simple preparation method, low cost, excellent performance, and stable tunable laser have extremely high commercial value in applications such as space communication, lidar, and laser detection.
Varietal Characteristics of Jerusalem Artichoke as a High Nutritional Value Crop for Herbivorous Animal Husbandry
Authors: Manokhina Aleksandra A. , Dorokhov Alexey S. , Kobozeva Tamara P. , Fomina Tatiana N. , Starovoitova Oksana A.
Published: April 2022

Jerusalem artichoke (Helianthus tuberosus L.) is considered to be one of the most promising multipurpose bioenergetic crops. The goal of this study was to carry out laboratory and field research regarding the tops and tubers of 16 Jerusalem artichoke (JA) cultivars grown on sod-podzolic sandy loam soils, taking into account varietal characteristics in order to point out advances in JA potential as alternative feedstock in herbivorous animal husbandry. The height of JA plants produced was from 147 to 280 cm. Having formed by the beginning of September, the size of the assimilating leaf apparatus surface was 0.41 to 2.31 m2/plant. In early September, the productivity of JA green mass amounted to 23.6 to 86.0 t/ha for late-maturing cultivars on average; correspondingly, this was 13.0 to 25.4 t/ha for early-maturing cultivars. At the end of October, the “late” cultivars produced 28.2 to 86.9 t/ha of green mass; on the contrary, the herbage of the “early” ones mostly withered and even dried up. The highest gross yield of tubers in early September was obtained from cultivars Diyeticheskiy (43.5 t/ha) and Nadezhda (40.8 t/ha). The average yield of early-maturing cultivars was 13.4 … 43.5 t/ha; as for “late” ones, it was reported to be 6.0 … 35.9 t/ha. In the third ten-day period of October, tubers of all cultivars gained weight significantly: the average yield of early-maturing cultivar tubers increased up to 33.1 …51.1 t/ha, whereas the average tuber yields of “late” cultivars were 14.4 … 43.9 t/ha. On average, the distribution of dry matter content in JA was 28.8 to 29.8% in aboveground biomass and in tubers, 23.8 to 24.0%. According to the chemical composition, cellulose (10.9 to 13.1%) and sugars (4.0 to 4.2%) could be noted to predominate in the green mass, but tubers were high in sugars (16.9 to 17.6%). The analyses on the trace elements (Ca, Fe, Mg, Mn, Si and Zn) showed that crop green mass contained more Mg (45 to 72 mg/100 g) and Mn (44 to 65 mg/100 g), but for JA tubers, late-maturing cultivars were rich in Si (27.2 to 79.0 mg/100 g) and early-maturing cultivars were mainly high in Zn (32.8 to 46.5 mg/100 g). The highest total coefficient of energy efficiency was displayed by the following cultivars: Novost VIRa (3.09); Tadzhikskiy (2.78); Spindle (2.68); Korenevskiy (2.43); Interes (2.10); and Skorospelka (1.98). In this respect, Jerusalem artichoke certainly has potential as a forage crop that can reach high yields with low external inputs. The data obtained may be useful for farmers who want to adapt and produce this useful and essential crop for the sustainability of feed production.
Dimensional Reduction-Based Moment Model for Probabilistic Slope Stability Analysis
Authors: Wang Meng , He Ziguang , Zhao Hongbo
Published: April 2022

Uncertainty is an inevitable factor that influences the function analysis, design, and safe operation in engineering systems. Due to the complexity property and unclear failure mechanism, uncertainty is an intrinsic property of slope engineering. Hence, stability analysis and design cannot meet the demands of slope engineering based on the traditional deterministic method, which cannot deal with uncertainty. In this study, a practical reliability approach was developed to consider the uncertainty factor in slope stability analysis by combining the multiplicative dimensional reduction method (MDRM) and first-order second moment (FOSM). MDRM was used to approximate the complex, nonlinear, high-dimensional, and implicit limit state function. The statistical moment of safety factor was estimated based on the moment method using MDRM. FOSM is adopted to compute the reliability index based on the statistical moment of the safety factor. The proposed method was illustrated and verified by an infinite slope with an analytical solution. The reliability index and failure probability were compared with Monte Carlo simulations (MCS) in various cases. Then, it was applied to a slope based on numerical solutions. The results show that the proposed method is feasible and effective for probabilistic slope stability analysis. The reliability index obtained from the proposed method shows high consensus with the traditional response surface method (RSM). It shows that the proposed method is effective, efficient, and accurate. MDRM provides a practical, simple, and efficient probabilistic slope stability analysis approach.