bluuebunny/crossref_metadata_2025 huggingface dataset:
An Atypical Case of Myxedema Coma with Incidental Chilaiditi Syndrome
Authors:   Consultant, Department of Emergency Medicine, Ramakrishna Care Hospital, Raipur 492001, Chhattisgarh, India., Dhillon Sonika , Ojha Raghwesh ,   Associate Consultant, Department of Cardiology, Pulse Hospital, Bhilai 490020, Chhattisgarh, India.
Published: January 2024

• Hypothyroidism is a prevalent condition in the general population.1 42 million people in India have thyroid disorders and hypothyroidism is the most common, affecting one in ten adults. • Myxedema coma is a rare and life threatening emergency with a high mortality rate.2 It results from severe hypothyroidism and affects almost every organ • Patients will present with myxedema coma, characterized by hypothermia, hypotension, bradycardia, and altered mental status in the setting of severe hypothyroidism.3 Myxedema coma has also been known to manifest in a number of unusual and dangerous forms. • A high index of suspicions is needed among clinicians in order to rapidly recognize the condition and make an early diagnosis. Treatment should be commenced on clinical grounds while waiting for laboratory results. • Here, we present the case of a male who presented to the emergency department with altered mental status, Anasarca and in abilty to walk.
Pregnancy Outcomes in Women with Unicornuate Uterus with Non-Communicating Rudimentary Horn
Authors:   Resident, Department of Obstetrics and Gynecology, Bharati Vidyapeeth (Deemed to be University) Medical College and Hospital, Pune, Pune 411043, Maharashtra, India., Neha Saroj Karumanchi , Rawal Sumedha ,   Assistant Professor, Department of Obstetrics and Gynecology, Bharati Vidyapeeth (Deemed to be University) Medical College and Hospital, Pune, Pune 411043, Maharashtra, India., K Singh S ,   Professor, Department of Obstetrics and Gynecology, Bharati Vidyapeeth (Deemed to be University) Medical College and Hospital, Pune, Pune 411043, Maharashtra, India.
Published: January 2024

Abstract Objective: The unicornuate uterus is a rare uterine malformation which may results in complications like ectopic pregnancy, infertility, miscarriages, preterm delivery, malpresentations, intrauterine fetal demise. Case Reports: We hereby discuss five cases of unicornuate uterus with non-communicating rudimentary horn and their pregnancy outcomes in tertiary care centre over span of 2 years. All the five cases came at different gestation.Two patients were out-registered and came at term for delivery and unicornuate uterus was diagnosed intraoperatively. Other three cases were registered and had successful pregnancy outcome after proper antenatal care and monitoring. Conclusion: Though unicornuate uterus is linked with adverse pregnancy outcomes. In all these five cases we describe how proper antenatal care and monitoring has resulted
Need of High Dependency Unit in Obstetric Patients in Tertiary Care Centre
Authors:   Assistant Professor, Department of Obstetrics and Gynecology, DY Patil Hospital & Research Centre, Kolhapur 416003 Maharashtra, India., Kumbhar Archana , Reddy TSK Sumitra ,   Junior Resident, Department of Obstetrics and Gynecology, DY Patil Hospital & Research Centre, Kolhapur 416003 Maharashtra, India., Sawant Vasudha ,   Professor & HOD, Department of Obstetrics and Gynecology, DY Patil Hospital & Research Centre, Kolhapur 416003 Maharashtra, India., D Gheya ,   Post Graduate, Department of Obstetrics and Gynecology, DY Patil Hospital & Research Centre, Kolhapur 416003 Maharashtra, India.
Published: January 2024

Aim: To analyze the requirement of HDU in Obstetric patients having Medical disorders & Intraoperative/ Intrapartum complications & Postoperative/Postpartum complications. Study Design: It is a retrospective study conducted at DY Patil hospital, Kolhapurfrom June 2020 to June 2021, in the department of Obstetrics & gynecology. Methods: All the patients having associated Medical disorders, Intraoperative complications, Postoperative complications were admitted in HDU. Interventions required in HDU, duration of stay and outcome of the patient were collected & results were analyzed. Results: Out of 1967 deliveries, 144 patients required admission in HDU. Among Obstetric causes requiring HDU, Hypertensive disorders in pregnancy is the leading cause for HDU admissions. Among Non-Obstetric causes requiring HDU, Anemia in Pregnancy is the leading cause for HDU admissions. Conclusion: Regular ANC checkups, detection of high-risk pregnancies, proper antenatal care, early referral of high-risk pregnancies, correction of modifiable causes of high-risk pregnancies (Anemia) can reduce maternal morbidity and mortality. Introduction of High dependency unit & multidisciplinary approach in managing patients has brought down the maternal mortality in the Tertiary care referral centre.
Mindful Menopause
Authors:   Professor & HOD, Department of Obstetrics and Gynecology, Annasaheb Chudaman Patil Memorial Medical College, Dhule, Maharashtra 424002, India., B Patil Alka , Bafna Barkha ,   Junior Resdent, Department of Obstetrics and Gynecology, Annasaheb Chudaman Patil Memorial Medical College, Dhule, Maharashtra 424002, India., N Bafna Amit ,   Senior Resident, Department of Obstetrics and Gynecology, Annasaheb Chudaman Patil Memorial Medical College, Dhule, Maharashtra 424002, India.
Published: January 2024

Menopause is a part of natural aging process that causes a variety of physiological and psychological changes in the life of women. Various psycho social factors like lifestyle, health, culture, previous mood disorders all impact on menopause transition. Rapid changes in female reproductive hormones are implicated to cause fear, anxiety, depression and mood swings. However, insufficient coping abilities and poor adaptation to stress predisposes vulnerable women to emotional instability. Menopause is an unavoidable stage of life and acceptability of this fact depends on awareness, attitude, practices and health of women. Along with appropriate pharmacological treatment; lifestyle modifications and psycho-social support would go a long way to help women to steer through this phase of life with a sound mind.
Recuperación de suelos degradados utilizando bokashi tradicional y fosfatado en El Carmen, Chincha
Authors:   , Monteza Arcos Maria Alejandra
Published: January 2024

Actualmente, el principal problema del manejo de los suelos es la dependencia de productos sintéticos para reabastecer el suelo agrícola de nutrientes. Esta dependencia hacia los productos sintéticos podría estar agudizando los problemas de fertilidad de los suelos, porque no se están realizando acciones para poder aprovechar los residuos orgánicos que se generan en el sistema productivo y en muchos casos son incinerados a campo abierto provocando impactos ambientales y emisiones de gases de efecto invernadero (MINAM, 2020). Debido a estos impactos provocados, se propone hacer uso correcto de los residuos orgánicos mediante técnicas de tratamiento como el bokashi, que consiste en aprovechar los residuos vegetales, c contribuyendo al reúso de residuos de las cosechas y aporta beneficios para mejorar la fertilidad natural del suelo de manera sostenible (Liang, 2009). El uso de los fertilizantes sintéticos en la agricultura es de alto costo, que está relacionado a los costos del mercado, factores externos y costos de transporte. Una de las mayores desventajas de los productos químicos es que después de un largo periodo de aplicación pueden provocar daños adversos en el suelo, como por ejemplo la alteración de pH, afectación de la microfauna y alteraciones en la estructura del suelo. Una opción a estos abonos sintéticos son los de origen orgánico, los cuales tienen un menor costo en producción y mejores resultados; en este rubro se encuentra el Bokashi, el cual tiene un mejor efecto en temas económicos y productivos (Salgado, 2017). Para la producción del Bokashi se utilizan los residuos orgánicos, por lo tanto, aportan nutrientes esenciales como el nitrógeno, fosforo, calcio entre otros micronutrientes, los cuales se incorporan en el suelo tratado (Arrieta, 2018).
The Design of Hydrogen Saline Aquifer Storage Processes Using a Machine-Learning Assisted Multiobjective Optimization Protocol
Authors: Sun Qian , Zhang Miao , Ertekin Turgay
Published: January 2024

The global effort toward decarbonization has intensified the drive for low-carbon fuels. Green hydrogen, harnessed from renewable sources such as solar, wind, and hydropower, is emerging as a clean substitute. Challenges due to the variable needs and instable green hydrogen production highlight the necessity for secure and large-scale storage solutions. Among the geological formations, deep saline aquifers are noteworthy due to their abundant capacity and ease of access. Addressing technical hurdles related to low working gas recovery rates and excessive water production requires well-designed structures and optimized cushion gas volume. A notable contribution of this study is the development of a multiobjective optimization (MOO) protocol using a Kalman filter-based approach for early stopping. This method maintains solution accuracy while employing the MOO protocol to design the horizontal wellbore length and cushion gas volume in an aquifer hydrogen storage project and accounting for multiple techno-economic goals. Optimization outcomes indicate that the proposed multiobjective particle swarm (MOPSO) protocol effectively identifies the Pareto optimal sets (POSs) in both two- and three-objective scenarios, requiring fewer iterations. Results from the two-objective optimization study, considering working gas recovery efficacy and project cost, highlight that extending the horizontal wellbore improves hydrogen productivity but may lead to unexpected fluid extraction. The three-objective optimized hydrogen storage design achieves a remarkable 94.36% working gas recovery efficacy and a 59.59% reduction in water extraction. The latter represents a significant improvement compared to the reported literature data.
A Study on the Prediction of Questionable Dementia Using Bayesian Network
Authors:   The Society for Cognitive Enhancement and Intervention, Eom Sunghye , Jeon Hyojeong , Goh Eunkyung , Lee Nanhee , Kim Dongjin
Published: January 2024

Objective: This study aims to identify predictive factors for screening suspected dementia among middle-aged and older adults and provide basic data to prevent dementia and prepare early customized intervention plans for middle-aged and older adults.
Method: A survey of 850 middle-aged and older adults aged 40-65 years living in Japan was conducted to collect data, and a Bayesian network was used to identify predictors and pathways for screening suspected dementia.
Results: First, to verify the accuracy of the results extracted by the Bayesian network model, the performance was compared with random forest and gradient boosting, and the results showed that the Bayesian network algorithm performed the best, with a predictive power of 90%. Second, among the variables predicting suspected dementia, the most predictive variable was subjective memory decline, followed by early maladaptive behavior, social comfort, adult attachment anxiety, dementia fear, and adult attachment avoidance. Third, the core pathway for suspected dementia was identified as neuroticism to early maladaptive behavior and adult attachment anxiety to suspected dementia, followed by neuroticism to subjective memory decline, social comfort, and adult attachment anxiety to suspected dementia.
Conclusion: By utilizing Bayesian networks to explore important variables and pathways between variables in suspected dementia, we can provide a framework for early intervention and customized policies for dementia.
Analysis of Social Influencing Factors by Learning Amotivation Type in Adolescence
Authors:   The Society for Cognitive Enhancement and Intervention, Kwon Da Young , Kang Seung-hee
Published: January 2024

Objective: The objectives of this study were to identify latent profiles according to trajectories in the learning amotivation of adolescents and test whether the relationships between the adolescents and their parents, teachers, and peers have significant effects on classifying the latent profiles.
Methods: The latent growth model was applied to identify the growth pattern of amotivation for the Gyeongi Education Panel Study (GEPS) panel data from the 3rd grade of middle school to the 3rd grade of high school and the different groups of amotivation changes were investigated using growth mixture models. The multinomial logistic analysis was conducted to identify the social impacts on different amotivation groups. Results: First, from the 3rd grade of middle school to the 1st grade of high school, students’ learning amotivation remained stable, whereas from the 1st grade of high school to the 3rd grade of high school, students’ learning amotivation increased as the grade level increased. Second, four distinct latent profiles were found and were defined as a ‘“continuously high-ranking group” (11.3%)’, a ‘“decreasing group” (4.8%)’, an ‘“increasing group” (11.4%)’, and a ‘“continuously low-ranking group” (72.5%)’. The results further indicated that the relationship between students and their parents and teachers were significant predictors of classifying latent profiles.
Conclusion: This study will contribute greatly to the education field, as basic data to manage students’ learning amotivation efficiently by clarifying the existence of groups in which changes in learning amotivation differ.
A simple scoring system for predicting the risk of delayed hyponatremia after endoscopic transsphenoidal surgery for pituitary adenomas.
Authors: Mo changhong , Li Yangyang , Liu Yi , Zhao Ruijing , Wang Hao , Guo Wei , Hu Jiliang
Published: January 2024

Backgrounds
To identify high-risk patients for delayed postoperative hyponatremia (DPH) early, we constructed a simple and effective scoring system.
Methods
We retrospectively analyzed 141 consecutive patients who underwent endoscopic transsphenoidal surgery (TSS) from January 2019 to December 2022. Patients were divided into DPH group and non-DPH (NDPH) group based on whether hyponatremia occurred after the third postoperative day. Multivariable logistic regression analysis was conducted to determine the predictive factors of DPH, and a simple scoring system was constructed based on these predictors.
Results
Among 141 patients, 36 (25.5%) developed DPH. Multivariable logistic regression analysis showed that age ≥48 years (OR, 3.74; 95%CI, 1.14-12.21; P=0.029), Knosp grade ≥3 (OR, 5.17; 95%CI, 1.20-22.27; P=0.027), postoperative hypokalemia within three days (OR, 3.13; 95%CI, 1.05-9.33; P=0.040), a difference in blood sodium levels between the first and second day after surgery ≥1 mEq/L (OR, 3.65; 95%CI, 1.05-12.77; P=0.043), and postoperative diabetes insipidus (OR, 3.57; 95%CI, 1.16-10.96; P=0.026) were independent predictors of DPH.
Conclusion
This scoring system for predicting DPH has an area under the receiver operating characteristic curve (AUC) of 0.856 (95%CI, 0.787-0.925), indicating moderate to good predictive value for DPH in our cohort, but further prospective external validation is needed.
The Helping Hand in Ukraine: Feasibility and Potential Impact
Authors: Raknes Solfrid , Chorna Tetiana
Published: January 2024

Background
New services are needed to prevent mental health consequences of the war in Ukraine. Ten adolescents self-recruited to use and evaluate the Ukrainian version of the Helping Hand (HH) in Odessa, Ukraine. From April to June 2023 they participated in a 10-sessions group program where they played the cognitive behavioral game app, shared stories, and engaged in activities to enhance their coping skills.
Methods
A mixed method, quantitative-qualitative design was used to get insight in the potential impact and feasibility of the HH for Ukrainian adolescents´ mental health and well- being during war. Feasability of the intervention was assessed by a questionnaire to the adolescents, anxiety and depression symptoms were assessed before and after the intervention by a standardized and validated adolescent-completed questionnaire. An interview with the psychologist who implemented the intervention was used to interpret the data completed by the adolescents.
Results
Eight of ten adolescents completed the HH intervention, and the psychologist found the HH useful and culturally appropriate. The adolescents reported that the intervention made it easier to talk about feelings and thoughts, facilitated help-seeking, and improved coping with challenges. The average anxiety and depression symptoms decreased from before the intervention (M = 20.4) to after (M = 15.0), showing a moderate effect size.
Conclusion
The results indicated that the HH has a high potential in preventing mental health consequences in Ukraine.
Study of biodiversity of termites associated with urban trees and damage assessment from different localities in Faisalabad, Punjab, Pakistan
Authors: Ulabdin Zain , Hira Hasooba , Iftikhar Tehreem , Akram waseem , khan Hammad Ahmad , Razia syeda eishah tu , Nawaz sha
Published: January 2024

Termites are eusocial insects living in colonies, found across the globe, specifically in the tropics as invertebrate decomposers. Only 3% of species are leading pests causing damage to agriculture, forestry and structures. The diverse ecological conditions of Pakistan made it favorable for termites to be found across the country. The loss of urban trees due to high termite infestation is one of the fundamental problems in deteriorating urban landscapes. However, only a rare study has been performed in Pakistan to investigate the biodiversity, feeding preference and damage assessment of termites in urban tree plantations. This study focuses on surveying mango and citrus trees planted at the University of Agriculture, Faisalabad. The main sites/areas of the University of Agriculture, Faisalabad, selected for surveying included horticulture square 9 and 32, botanical garden, plant pathology research areas and mango and citrus orchards located in UAF. Total of eleven species of termites, including Odontotermes obesus, Odontotermes guptai, Odontotermes gurdaspurensis, Odontotermes horai, Odontotermes assmuthi, Microtermes mycophagus, Microtermes unicolor, Microceroterms championi, Microtermes obesi, Coptotermes heimi and Heterotermes indicola were recorded. Termite infestation, diversity and damage were studied on living and dead-standing trees. Simpson and Shannon diversity indices were calculated to understand species richness, evenness, and dominancy. The maximum percentage of termites was recorded during August and from horticulture square 9. The overall value of diversity on the Simpson scale was 90% and on the Shannon scale was 88%. The maximum diversity found was 78% in September on the Simpson scale and 99% in April on the Shannon scale. Overall, 1363 trees were examined, out of which 272(20%) were severely damaged. This preliminary data would be helpful in devising sustainable termite management strategiesin urban ecosystem.
Biodiversity and dynamics of synanthropic fly communities in the Sudano-Sahelian zone of Cameroon
Authors: Dawaye Daniel Amani , Djaouda Moussa , Mune Martin Alain Mune , Fils Eric Moïse Bakwo
Published: January 2024

The Sudano-Sahelian zone of Cameroon is characterized by a hot tropical climate and poor sanitation, favorable to the proliferation of synanthropic flies and endemicity of diarrheal diseases. Through their activities, proliferating flies can increase the transmission of diarrheal diseases in the region. This study aimed to determine the factors that influence the variation in the diversity and dynamics of synanthropic flies to contribute to the control of diarrheal diseases. Monthly capture of synanthropic flies was carried out at 63 stratified randomly selected sites over nine months, covering both rainy and dry seasons. Three baits of 40 g each were used to attract the flies. All flies attracted to each bait were captured using a trap after 5 min of exposure and identified using the usual identification keys. Data on altitude, rainfall, temperature, humidity and wind speed of each catching site were collected for their potential impact on fly activity. Fifteen synanthropic fly species were identified in this study. These insects were more abundant in July and August in endemic cholera areas, and areas with high human density. They were less abundant in January and February in low-human density and agricultural areas. The diversity of these insects was heterogeneous and sparsely distributed (Shannon diversity index H'=1.57, and Equitability of Pielou index J = 0.63). Simpson’s dominance diversity index was D = 0.57, indicating that Musca domestica was the most abundant species. Human density and the rainfall were the major factors influencing the structure of synanthropic fly communities in the study site.
Healthcare delivery to patients from cultural and linguistic diverse backgrounds in emergency care: A scoping review protocol
Authors: Huang Ya-Ling , Thorning Sarah , Lin Chun-Chih , Lee Robert , Elder Elizabeth , Crilly Julia
Published: January 2024

Background: Worldwide, the cultural and linguistical diverse (CALD) population is increasing, and predicted to reach 405 million by 2050. The use of emergency services has also increased, including people from CALD backgrounds. The delivery of effective emergency services can be complex due to cultural, social and language factors. This scoping review aims to provide a comprehensive understanding of existing evidence regarding healthcare delivery to patients from CALD backgrounds in the emergency care setting.
Methods: The Joanna Briggs Institute (JBI) scoping review methodology will be used to guide this review. The population is patients from CALD backgrounds who received care, and emergency care clinicians who provided direct care. The concept is healthcare delivery to patients from CALD backgrounds. The context is emergency care. This review will include quantitative and qualitative studies published in English between January 2012-onwards. Searches will be conducted in the databases of CINAHL (Ebsco), Medline (Ovid), Embase (Elsevier), SocIndex (Ebsco), Scopus (Elsevier) and Google Scholar. A PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-analyses) flow diagram will be used to present the search decision process. All included articles will be appraised using the Mixed Methods Appraisal Tool (MMAT). Data will be presented in a tabular format and accompanied by a narrative synthesis of the literature.
Discussion: Despite the increased number of emergency department (ED) presentations made by people from CALD backgrounds, there has been no synthesis regarding healthcare delivery for this vulnerable patient group. The results of this scoping review may be used to inform future research programs that aim to enhance care delivery and experiences for people from CALD backgrounds who require emergency care.
Systematic review registration: This scoping review has been registered in the Open Science Framework https://doi.org/10.17605/OSF.IO/HTMKQ
A pioneering attempt to unveil the gut microbiome of brinjal mealybug, Coccidohystrix insolita Green (Hemiptera: Pseudococcidae) using metagenomic approach
Authors: Mohan Mithra
Published: January 2024

The mealybug Coccidohystrix insolita Green, a native of the Indian subcontinent, is a polyphagous pest causing severe economic damage to vegetable crops. Mealybugs often developed a close association with the endosymbiont biota which plays a vital role in determining the physiology and feeding behavior of these noxious pests. The present study is the pioneer attempt to unveil the gut endosymbionts of the mealybug C. insolita through 16sr-DNA sequencing. The study revealed a total of 15 phyla of endosymbionts, of which Proteobacteria was the predominant one followed by Euryarchaeota, Firmicutes, Bacteroidetes etc. The dominant class, order, family, and genus of endosymbionts were recorded as Gammaproteobacteria, Pseudomonadales, Pseudomonadaceae and Pseudomonas respectively. The most abundant endosymbiotic species in C. insolita was recorded as Pseudomonas alcaligenes. These findings on endosymbiont diversity of mealybug aid in a better understanding of the species interactions in the ecosystem and thus aid in devising a better pest management strategy.
Effect of pyrolysis temperature on the binding characteristics of DOM derived from livestock manure biochar with Cu(II)
Authors: Huang Shujun , Chen Muxin , Lu Hongxiu , Eitssayeam Sukum , Min Yulin , Shi Penghui
Published: January 2024

Biochar-derived dissolved organic matter (BDOM) has the potential to influence the environmental application of biochar and the behavior of heavy metals. In this study, the binding properties of BDOM derived from livestock manure biochar at different pyrolysis temperatures with Cu were investigated based on a multi-analytical approach. The results showed that the DOC concentration, aromatics and humification degree of BDOM were higher in the process of low pyrolysis of biochar. The pyrolysis temperature changed the composition of BDOM functional groups, which affected the binding mechanism of BDOM-Cu(II). Briefly, humic-like and protein-like substances dominated BDOM-Cu(II) binding at low and high pyrolysis temperatures, respectively. The higher binding capacity for Cu was exhibited by BDOM derived from the lower pyrolysis temperature, due to the carboxyl as the main binding site in humic acid had high content and binding ability at low-temperature. The amide in proteins only participated in the BDOM-Cu(II) binding at high pyrolysis temperature, and polysaccharides also played an important role in the binding process. Moreover, the biochar underwent the secondary reaction at certain high temperatures, which led to condensation reaction of the aromatic structure and the conversion of large molecules into small molecules, affecting the BDOM-Cu(II) binding sites.
Regulators of health and lifespan extension in genetically diverse mice on dietary restriction
Authors: Churchill Gary , Francesco Andrea Di , Deighan Andrew , Litichevskiy Lev , Chen Zhenghao , Luciano Alison , Robinson Laura , Garland Gaven , Donato Hannah , Schott Will , Wright Kevin , Raj Anil , Prateek G.V. , Mullis Martin , Hill Warren , Zeidel Mark , Peters Luanne , Harding Fiona , Botstein David , Korstanje Ron , Thaiss Christoph , Freund Adam
Published: January 2024

Caloric restriction (CR) delays aging and extends healthy lifespan in multiple species. Alternative forms of dietary restriction (DR) such as intermittent fasting (IF) have drawn significant interest as a more sustainable regimen, but the landscape of longevity-promoting dietary interventions remains largely unexplored. Identifying the most robust, efficacious, and experimentally tractable modes of DR is key to better understanding and implementing effective longevity interventions for human healthspan. To that end, we have performed an extensive assessment of DR interventions, investigating the effects of graded levels of CR (20% and 40%) and IF (1 day and 2 days of fasting per week) on the health and survival of 960 genetically diverse female mice. All interventions extended lifespan, although only CR significantly reduced the mortality doubling time. Notably, IF did not extend lifespan in mice with high pre-intervention bodyweight. We carried out extensive phenotyping to determine the health effects of long-term DR and to better understand the mechanisms driving within-diet heterogeneity in lifespan. The top within-diet predictor of lifespan was the ability of mice to maintain bodyweight through periods of handling, an indicator of stress resilience. Additional predictors of long lifespan include specific changes in immune cells, red blood cell distribution width (RDW), and retention of adiposity in late life. We found that lifespan is heritable (h2 = 0.24), and that genetic background has a larger influence on lifespan than dietary interventions. We identified a significant association for lifespan and RDW on chromosome 18 that explained 4.3% of the diet-adjusted variation in lifespan. Diet-induced changes on metabolic traits, although beneficial, were relatively poor predictors of lifespan, arguing against the long-standing notion that DR works by counteracting the negative effects of obesity. These findings indicate that improving health and extending lifespan are not synonymous and that metabolic parameters may be inappropriate endpoints for evaluating aging interventions in preclinical models and clinical trials.
Metabolic Reprogramming of the Neovascular Niche Promotes Regenerative Angiogenesis in Proliferative Retinopathy
Authors: Joyal Jean-Sebastien , Cagnone Gael , Pundir Sheetal , Kim Jin Sung , Rivera Jose , Agnihotri Tapan , Harvey Noemie-Rose , Heckel Emilie , Betus Charlotte , Chen Mei , Situ Anu , Gaub Perrine , Kim Nicholas , Das Ashim , Leclerc Severine , Wünnemann Florian , Andelfinger Gregor , Crespo-Garcia Sergio , Dubrac Alexandre , Rezende Flavio , Clish Clary , Maranda Bruno , Smith Lois , Sapieha Przemyslaw
Published: January 2024

Healthy blood vessels supply neurons to preserve metabolic function. In blinding proliferative retinopathies (PRs), pathological neovascular tufts often emerge in lieu of needed physiological revascularization of the ischemic neuroretina. Here we show that metabolic shifts in the neurovascular niche define angiogenic fate. Fatty acid oxidation (FAO) metabolites accumulated in human and murine retinopathy samples. Neovascular tufts with a distinct single-cell transcriptional signature highly expressed FAO enzymes. The deletion of Sirt3, an FAO regulator, shifted the neurovascular niche metabolism from FAO to glycolysis and suppressed tuft formation. This metabolic transition increased Vegf expression in astrocytes and reprogrammed pathological EC to a physiological phenotype, hastening vascular regeneration of the ischemic retina. Hence, strategies to change the metabolic environment of vessels could promote a regenerative phenotype in vascular diseases.
Design of a Novel Intelligent Cooperative Type-2 Fuzzy Logic Controller and Fractional-Order Synergetic Approach for Wind Energy Systems Based MPPT Methodology
Authors: babes badreddine , Annane Mohamed El Moustapha , Ounissi Amor , Abdessemed Rachid , babes badreddine
Published: January 2024

This article discusses the analysis, design and reel-time implementation of an intelligent cooperative control technique to enhance the maximum power point tracking (MPPT) of wind power generators with isolated loads. The proposed intelligent cooperative MPPT algorithm was created based on an interval type-2 fuzzy logic system (IT2-FLS) MPP estimator, which can handle control rule uncertainties under significant dynamic environmental changes. The suggested fractional nonlinear synergetic controller (FNSC) comprises the mechanical velocity regulator that enforces the wind generator to produce the greatest amount of energy by acting on the DC/DC step-up converter duty ratio. The intelligent cooperative MPPT controller is tested in an experiment using a permanent magnet synchronous generator (PMSG)-based wind turbine (WT) structure to ensure that it can operate the wind generator at their maximum peak powers regardless of weather conditions. According to the experimental findings, the suggested intelligent cooperative MPPT controller provides quick, precise, and efficient tracking speed, high levels of operational stability, high MPPT efficiency, and robust performance against uncertainties arising from disturbance to inputs of the wind energy system. A comparison with IT1-FLS-based MPPT technique is also discussed to highlight the performances of our intelligent cooperative MPPT method.
Research on the Disturbance Suppression Property of Multi-Predecessor Following Vehicular Platoon
Authors: Yang Xiujian , Wang Shenyi , Zhang Shengbin , Wu Xiangji
Published: January 2024

To utilize the V2V technology in vehicular platoon, in this paper we focus on the V2V based multi-predecessor following (MPF) vehicular platoon to investigate the disturbance suppressing property to external disturbance and the movement of the leader vehicle. The anti-disturbance property for both the homogeneous and heterogeneous MPF platoons are investigated based on the method of sensitivity analysis of error propagation to disturbance. The effects of the platoon parameters including the control gains and the weight of communicated acceleration from the preceding vehicles have been analyzed. The results indicate that increasing the spacing error control gain ke and speed error control gain kev for following the immediately predecessor can generally benefit for reducing the sensitivity of error propagation to external disturbances. However, the effect of control gain ke, kev on the sensitivity of error propagation to the movement of the leader vehicle is not obvious. The greater the weight for the communicated acceleration from the vehicles ahead near the current vehicle is, the smaller the sensitivity of error propagation to external disturbance shall be. However, there is no consistent impact of the weight on the sensitivity to the movement of the leader vehicle. Increasing of the acceleration control gain kea generally reduces the anti-disturbance capability for the homogeneous vehicular platoon, but nonlinear variation trend is found for the heterogeneous platoons.
Accurate Crop Spraying with RTK and Machine Learning on an Autonomous Field Robot
Authors: Wijesundara W. M. T. D. , Wanigathunga T. D. , Waas M. N. C. , Hithanadura R. T. , Munasinghe S. R.
Published: January 2024

The agriculture sector requires a lot of labor and resources. Hence, the farmers are constantly being pressed for technology and automation to be cost-effective. In this context, autonomous robots can play a very important role in carrying out agricultural tasks such as spraying, sowing, inspection, and even harvesting. This paper presents one such autonomous robot that is able to identify plants and spray agrochemicals precisely. The robot uses machine vision technologies to find plants and RTK-GPS technology to navigate the robot along a predetermined path. The experiments were conducted in a field of potted plants in which successful results have been obtained.
What frog gill resorption brings: loss of function, cell death, and metabolic reorganization
Authors: Chang Liming , Zhu Wei , Jiang Jianping
Published: January 2024

Background
Anuran metamorphosis, driven by thyroid hormone-mediated processes, orchestrates intricate morphological and functional transformations for the transition from aquatic tadpoles to terrestrial life, providing a valuable model for studying organ functionalization, remodeling, and regression. Larva-specific organ regression is one of the most striking phenomena observed during anuran metamorphic climax. While previous studies extensively analyzed tail regression mechanisms, the molecular processes governing gill resorption remain elusive.
Results
We employ Microhyla fissipes as a mode, utilizing a comprehensive approach involving histological analysis, transmission electron microscopy, and transcriptomics to unravel the gill development and resorption. The pro-metamorphic stages reveal highly developed gill structures, emphasizing their crucial role as the primary respiratory organ for tadpoles. Transcriptomic analysis highlights the upregulation of genes associated with enhanced respiratory efficiency, such as hemoglobin and mucins. However, as metamorphosis progresses, gill filaments undergo shrinkage, blood vessel density decreases, and structural changes signify a decline in respiratory function. The molecular mechanisms driving gill resorption involve the thyroid hormone pathway, particularly the upregulation of thyroid hormone receptor β, genes associated with the tumor necrosis factor pathway and matrix metalloproteinases. Two distinct pathways orchestrate gill resorption, involving apoptosis directly induced by thyroid hormone and cell death through extracellular matrix degradation. In addition, metabolic reorganization during metamorphosis is a complex process, with tadpoles adapting their feeding behavior and mobilizing energy storage organs. The gills, previously overlooked, are unveiled as potential energy storage organs undergoing metabolic reorganization. Transcriptomic analysis reveals dynamic changes in metabolism-related genes, indicating decreased protein synthesis and energy production and enhanced substrate transport and metabolism during metamorphic climax.
Conclusion
This study sheds light on the structural, molecular, and metabolic dynamics during gill development and resorption in M. fissipes. The findings deepen our understanding of the intricate mechanisms governing organ regression and underscore the pivotal role of gill in facilitating the transition from aquatic to terrestrial habitats.
Seed germination and phytotoxicity evaluation of Vigna radiata and Allium cepa via triple-doped green hematite nanoparticles and their photocatalytic effect
Authors: Kumar Pankaj , Thakur Naveen
Published: January 2024

Triple transition (Ni, Cu, and Zn) doped hematite nanoparticles (α-Fe2O3 NPs) have made significant advances in biological, environmental, as well as other interdisciplinary fields of study, due to their stability and relative lack of toxicity. The α-Fe2O3 NPs has been made simple, effective, and ecologically benign by utilizing the reducing and capping capability of Azadirachta indica aqueous leaf extract. Synthesized material has been studied by XRD, UV-visible, Raman, FTIR, VSM, SEM, and TEM techniques. Doped α-Fe2O3 NPs possessed a rhombohedral phase and corundum structure that was exceptionally pure and well crystalline. The synthesized α-Fe2O3 NPs had a size of 22.83 nm and were irregular-spheroidal in shape, according to SEM and TEM examination. Synthesized NPs show ferromagnetic characteristics, according to VSM research. The photocatalytic activity of doped α-Fe2O3 NPs was evaluated by methyl orange (MO) (95%), methylene blue (MB) (97%), congo red (CR) (92%), and eosin yellowish (EY) (90%) efficiently dyes degradation, when exposed to visible light for 90–100 minutes. As a result, the NPs are suited for applications where reusability is a crucial essential feature due to the modest drop in the photocatalytic activity after four cycles. This current study examines the effects of α-Fe2O3 NPs on the seed germination of Vigna radiata (mung bean) and phytotoxicity study biomass accumulation Allium cepa (onion) through a series of germination assays. For this reason, it is crucial to manage the materials size, morphology, and magnetic properties in order to produce well-tailored photocatalysts.
Land-Use and Habitat Quality Prediction in the Fen River Basin Based on PLUS and InVEST Models
Authors: Hou Yanjun , Wu Juemei
Published: January 2024

Assessment and prediction analyses of the ecological environmental quality of river basins are pivotal to realize ecological protection and high-quality coordinated development. The PLUS and InVEST models were used to analyze the spatiotemporal evolution characteristics of land-use in the Fen River Basin and simulate the spatial pattern of land-use under natural development (ND), ecological protection (EC), and economic development (ED) scenarios in 2030, as well as evaluate habitat quality (HQ) and its spatiotemporal variation characteristics from 2000 to 2030. From 2000 to 2020, the Fen River Basin consisted primarily of cultivated land, followed by forests, and then unused land. Habitat quality in the Fen River Basin showed a downward trend from 2000 to 2020. Between 2010 and 2020, the rate of decline decreased, and by 2030, the HQ in the EC scenario exhibited improvement compared to 2020. However, there was a reduction in HQ in the ND and ED scenarios and there were obvious heterogeneity in spatial distribution, showing the characteristics of "low middle and high edge.” The cultivated land was converted into forests, construction land, and grasslands, and the conversion of construction land and forests to cultivated land dominated the changes in HQ in the Fen River Basin.
Structural Equation Modelling to Assess the Influencing Factors of Newly Employed Nurses’ Adaptation in Malaysia
Authors: Baharum Hafidza , Ismail Aniza , Awang Zainudin , McKenna Lisa , Ibrahim Roszita , Mohamed Zainah , Hassan Nor Haty , Haniff Abdul
Published: January 2024

Objective The transition phase is a common custom experienced by graduate nurses, who are required to adapt quickly to their new workplace as it is a prerequisite for a successful transition. However, workplace adaptation is very challenging and may affect nurses’ future career prospects if not managed properly. Therefore, this study aimed to identify the factors that facilitate newly employed nurses’ adaptation and integration at Ministry of Health (MOH)-run state hospitals in Malaysia. The study framework was derived and adapted from the Roy adaptation model (RAM) and organisational socialisation theories.
Design This quantitative study was conducted from May 2021 to December 2021.
Setting The sample population was newly employed nurses working at state hospitals with 1–2 years of service experience.
Participants A total of 496 newly hired nurses from MOH state hospitals participated in this study. The data was analysed using covariance-based structural equation modelling and IBM SPSS Amos 24.
Results The participants perceived that workplace organisation (OC), academic institution contribution (AIC), and new nurse’s personality traits (PT) contributed approximately 36% to newly employed nurses’ adaptation (NENA). PT partially mediated the relationship between OC and NENA and between AIC and NENA.
Conclusions The findings could be useful to nursing authorities. Additionally, it is also recommended that a nurse’s personality be developed, emphasised, and enhanced through continuous programmes or training to ensure that they can easily adapt to their new working environment. Moreover, academic institutions and work organisations should be encouraged to collaborate to develop improvement cycles that facilitate newly employed nurses’ prompt and efficient adaptation at MOH hospitals during transition.
Investigation on the molecular mechanism of SPA interference with osteogenic differentiation of bone marrow mesenchymal stem cells
Authors: Wen Hong-jie , Zhu Shou-yan , Yang Hua-gang , Guo Feng-yong
Published: January 2024

The binding of Staphylococcus aureus protein A (SPA) to osteoblasts induces apoptosis and inhibits bone formation. Bone marrow derived mesenchymal stem cells (BMSC) has the ability to differentiate into bone, fat and cartilage. Hence, it was vital to analyze the molecular mechanism of SPA affecting osteogenic differentiation. We introduced transcript sequence data to screen out differentially expressed genes (DEGs) related to SPA interfered BMSC. Protein-protein interaction (PPI) network of DEGs was established to screen biomarkers associated with BMSC with SPA interference. ROC curve was plotted to evaluate the ability of biomarkers to distinguish between two groups of samples. We finally performed GSEA and regulatory analysis based on biomarkers. We identified 321 DEGs. Subsequently, 6 biomarkers (Cenpf, Kntc1, Nek2, Asf1b, Troap and Kif14) were identified via hubba algorithm in PPI. ROC analysis showed that six biomarkers could clearly distinguish normal differentiated and SPA interfered BMSC. Moreover, we found that these biomarkers was mainly enriched in the ‘Pyrimidine metabolism’ pathway. We also constructed ‘71 circRNAs-14 miRNAs-5 mRNAs’ and ‘10 lncRNAs-5 miRNAs-2 mRNAs’ networks. Kntc1 and Asf1b genes were associated with rno-miR-3571. Nek2 and Asf1b genes were associated with rno-miR-497-5p. Finally, we found significant lower expression of six biomarkers in SPA interfered group compared to the normal group by RT-qPCR. Overall, we obtained 6 biomarkers (Cenpf, Kntc1, Nek2, Asf1b, Troap and Kif14) related to SPA interfered BMSC, which laid a theoretical foundation for exploring the key factors of SPA affecting osteogenic differentiation.
Mitigating Occupational Mental Health-Related Factors to Prevent Manufacturing Industry Accidents
Authors: Charles John Thomas , Jannet Sabitha , J Clement Sudhahar
Published: January 2024

Preventing manufacturing industry accidents associated with mental health in the workplace is a formidable challenge. It is essential to grasp how these factors interact with mental health issues and how they lead to accidents, as this knowledge is critical for the formulation of effective preventive strategies. Therefore, extensive research and data collection are indispensable to precisely identify the specific mental health concerns impacting manufacturing employees and their role in accident occurrences. Collecting a data by the interview schedules with the safety professionals, inspectors and auditors from the manufacturing industries which the data were collected and separated. Once these factors are recognized, customized interventions can be put into action to mitigate their influence. Establishing an environment that fosters mental health awareness and support serves as a foundational pillar in the endeavor to counteract mental health-related factors in the manufacturing sector. Overcoming the existing stigma associated with mental health matters and promoting open communication among employees constitutes a significant hurdle. Employers must proactively strive to create a workplace culture where employees feel at ease discussing their mental health without apprehension of negative consequences. Achieving this objective involves implementing training programs, raising awareness, and garnering steadfast support from organizational leaders. When employees acknowledge that their well-being is given top priority, they are more inclined to seek help for mental health issues, thereby contributing to the prevention of accidents in the workplace. This paraphrase underscores the urgent need to address mental health-related factors to avert manufacturing industry accidents and elucidates the multifaceted approach required for success.
Medical records condensation: a roadmap towards healthcare data democratisation
Authors: Thakur Anshul , Wang Yujiang , Dong Mingzhi , Ma Pingchuan , Petridis Stavros , Shang Li , Zhu Tingting , Clifton David
Published: January 2024

The prevalence of artificial intelligence (AI) has envisioned an era of healthcare democratisation that promises every stakeholder a new and better way of life. However, the advancement of clinical AI research is significantly hurdled by the dearth of data democratisation in healthcare. To truly democratise data for AI studies, challenges are two-fold: 1. the sensitive information in clinical data should be anonymised appropriately, and 2. AI-oriented clinical knowledge should flow freely across organisations. This paper considers a recent deep-learning advent, dataset condensation (DC), as a stone that kills two birds in democratising healthcare data. The condensed data after DC, which can be viewed as statistical metadata, abstracts original clinical records and irreversibly conceals sensitive information at individual levels; nevertheless, it still preserves adequate knowledge for learning deep neural networks (DNNs). More favourably, the compressed volumes and the accelerated model learnings of condensed data portray a more efficient clinical knowledge sharing and flowing system, as necessitated by data democratisation. We underline DC's prospects for democratising clinical data, specifically electrical healthcare records (EHRs), for AI research through experimental results and analysis across three healthcare datasets of varying data types.