bluuebunny/crossref_metadata_2025 huggingface dataset:
From criminal interrogations to investigative interviews: a bibliometric study
Authors: Denault Vincent , Talwar Victoria
Published: June 2023

This paper presents the results of a bibliometric study providing a comprehensive overview of the social science research conducted on criminal interrogations and investigative interviews since the 1900s. The objectives are to help researchers to further understand the research field, to better communicate research findings to practitioners, to help practitioners understand the breadth of scientific knowledge on criminal interrogations and investigative interviews, and to foster dialog between researchers and practitioners. To begin, after a brief description of Web of Science, we describe how we developed our database on criminal interrogations and investigative interviews. Then, we report the yearly evolution of articles, the journals where they were published, the research areas covered by this research field, as well as the authors, the institutions and the countries that published the most on a variety of topics related to criminal interrogations and investigative interviews. Finally, we present the most used keywords and the most cited articles, and examine the research on questionable tactics and techniques in the research field of criminal interrogations and investigative interviews. This paper ends with a critical look at the results, for the benefit of researchers and practitioners interested in criminal interrogations and investigative interviews.
Liberia health system's journey to long-term recovery and resilience post-Ebola: a case study of an exemplary multi-year collaboration
Authors: Ako-Egbe Louis , Seifeldin Redda , Saikat Sohel , Wesseh Sanford C. , Bolongei Moses Brown , Ngormbu Ballah Jusu , George Roseline , Ocan Charles , Peter Lasuba Clement Lugala
Published: June 2023

This article is part of the Research Topic ‘Health Systems Recovery in the Context of COVID-19 and Protracted Conflict'

Liberia is one of the three countries worst hit by the 2014–2016 West Africa Ebola Virus disease (EVD) outbreak, during which it recorded over 10,000 cases, including health workers. Estimates suggest that the non-EVD morbidity and mortality resulting from the collapse of the health system exceeded the direct impact of EVD. Lessons from the outbreak were clear, not only for Liberia but also for the regional and global communities: that building health system resilience through an integrated approach is an investment in population health and wellbeing, as well as economic security and national development. It is therefore no surprise that Liberia made recovery and resilience a national priority from the time the outbreak waned in 2015. The recovery agenda provided the platform for stakeholders to work toward the restoration of the pre-outbreak baseline of health system functions while aiming to build a higher level of resilience, informed by lessons from the Ebola crises. Based on the co-authors' experiences of on-the-ground country-support work, this study sought to provide an overview of the Liberia Health Service Resilience project (2018–2023) funded by KOICA, and propose a set of recommendations for national authorities and donors, derived from the authors' perceptions of best practices and key challenges associated with the project. We used both quantitative and qualitative approaches to generate the data represented in this study by reviewing published and unpublished technical and operational documents, and datasets derived through situational and needs assessments and routine monitoring and evaluation activities. This project has contributed to the implementation of the Liberia Investment Plan for Building a Resilient Health System and the successful response to the COVID-19 outbreak in Liberia. Although limited in scope, the Health Service Resilience project has demonstrated that health system resilience could be operationalized by applying a catchment and integrated approach and encouraging multi-sectoral collaboration, partnership, local ownership, and promoting the Primary Health Care approach. Principles applied in this pilot could guide the operationalization of health system resilience efforts in other resource-limited settings similar to Liberia and beyond.
Strengthening and promoting digital health practice: results from a Global Digital Health Partnership’s survey
Authors: Cascini Fidelia , Gentili Andrea , Causio Francesco Andrea , Altamura Gerardo , Melnyk Andriy , Beccia Flavia , Pappalardo Ciro , Lontano Alberto , Ricciardi Walter
Published: June 2023

Background and objective

The capacity to promote and disseminate the best evidence-based practices in terms of digital health innovations and technologies represents an important goal for countries and governments. To support the digital health maturity across countries the Global Digital Health Partnership (GDHP) was established in 2019. The mission of the GDHP is to facilitate global collaboration and knowledge-sharing in the design of digital health services, through the administration of surveys and white papers.

Objective

The scope of this study is to critically analyze and discuss results from the Evidence and Evaluation GDHP Work Stream’s survey, understand how governments and countries intend to address main obstacles to the digital health implementation, identify their strategies for a communication of effective digital health services, and promote the sharing of international based best practices on digital health.

Methods

This survey followed a cross-sectional study approach. A multiple-choice questionnaire was designed to gather data. Choices were extracted from research publications retrieved through a rapid review.

Results

Out of 29 countries receiving the survey, 10 returned it. On a scale from 1 to 5, eHealth systems/platforms (mean = 3.56) were indicated as the most important tool for centralized infrastructure to collect information on digital health, while primary care (mean = 4.0) represented the most voted item for healthcare services to collect information on digital health. Seven Countries out of 10 identified lack of organization, skepticism of clinicians, and accessibility of the population as a barriers to adopt digital health implementation, resulting to be the most voted items. Finally, the most endorsed priorities in digital health for Countries were the adoption of data-driven approaches (6 Countries), and telehealth (5 Countries).

Conclusion

This survey highlighted the main tools and obstacles for countries to promote the implementation of evidence-based digital health innovations. Identifying strategies that would communicate the value of health care information technology to healthcare professionals are particularly imperative. Effective communication programs for clinicians and the general population in addition to improved digital health literacy (both for clinicians and citizens) will be the key for the real implementation of future digital health technologies.
Perceived occupational stress and associated factors among primary school teachers in the second wave of COVID-19 in Ethiopia: a multicenter cross-sectional survey
Authors: Tesfaye Amensisa Hailu , Abate Kassahun , Kabito Gebisa Guyasa , Azale Telake
Published: June 2023

Background

Occupational stress (OS) is a psychological state that results from people’s perceptions of an imbalance between job demands and their abilities to cope with those demands. The COVID-19 pandemic has disrupted the teaching and learning process and compounded the stress level among teachers due to fear of transmission of the virus and school closures or the difficulty with adherence to the COVOD-19 prevention protocol. This survey study therefore aimed to investigate the prevalence of occupational stress and its associated factors among primary school teachers during the second wave of COVID-19 in western Ethiopia.

Method

An institution-based cross-sectional survey was employed from April to May 2021. The survey was conducted in Gimbi town among all 672 primary school teachers in western Ethiopia. The standardized Teacher Occupational Stress Scale was used to measure occupational stress in the past 4 months. The data were collected through a self-administered questionnaire. The collected data were entered into EpiData version 4.6 and analyzed using Stata version 14 software. A multivariable logistic regression analysis was conducted to identify factors associated with occupational stress. The statistical significance was considered at a value of p of < 0.05 and a 95% confidence interval (CI) with an adjusted odds ratio (AOR) to evaluate the strength of associations.

Results

The response rate was 96.8% (N = 651). The majority, 389 (59.8%) of the study participants were males. The mean (±SD) age was 35.8 (±9.3) years. The prevalence of occupational stress in the second wave of COVID-19 in the past 4 months was 50.1% (n = 326) [95% CI (46.1, 53.9)]. Job dissatisfaction [AOR: 2.06, 95% CI (1.43–2.97)] and high-risk perception of COVID-19 infection [AOR: 2.20; 95% CI (1.46–3.31)] were significantly associated with occupational stress.

Conclusion

This survey disclosed a high prevalence of occupational stress among primary school teachers during the second wave of COVID-19. Job dissatisfaction and a high-risk perception of COVID-19 infection were significant predictors of the occurrence of occupational stress in school teachers. Enhancing stress management skills and focusing on primary prevention of identified risk factors were advised to curtail the condition.
Promoting active aging through assistive product design innovation: a preference-based integrated design framework
Authors: Zhang Baoyi , Ma Minyuan , Wang Zongsheng
Published: June 2023

Background

With the accelerating trend of global aging, over one billion people need to use one or more types of assistive products. However, the high abandonment rate of current assistive products is affecting the quality of life of the older adults, posing challenges to public health. Accurately capturing the preference factors of the older adults in the design process is an important way to improve the acceptance of assistive products. In addition, a systematic approach is needed to translate these preference factors into innovative product solutions. These two issues are less addressed in existing research.

Methods

First, the evaluation grid method was used to conduct in-depth interviews with users and extract the structure of preference factors for assistive products. Quantification theory type I was used to calculate the weight of each factor. Secondly, universal design principles, TRIZ theory's contradiction analysis techniques, and invention principles were used to translate the preference factors into design guidelines. Then, finite structure method (FSM), morphological chart, and CAD techniques were used to visualize the design guidelines as alternatives. Finally, Analytic Hierarchy Process (AHP) was used to evaluate and rank the alternatives.

Results

A Preference-based Assistive Product Design Model (PAPDM) was proposed. The model includes three stages: definition, ideation, and evaluation. A case study on walking aid demonstrated the execution of PAPDM. The results show that 28 preference factors influence the four psychological needs of the older adults: sense of security, sense of independence, self-esteem, and sense of participation. These psychological needs were reflected in the shape, color, material, universality, user-friendly, reliability, and smart functions of assistive products. The preference factors were transformed into five design guidelines, and three alternatives were generated. Finally, the evaluation concludes that solution C was the optimal solution.

Conclusion

The PAPDM framework provides designers with a transparent, progressive approach to designing assistive products that meet unique needs and preferences of older adults. This enhances objectivity and scientific rigor in assistive product development, avoiding blind design and production. By considering the perspective of older adults from the outset, we can avoid high abandonment rates of assistive products and contribute to promoting active aging.
The importance of Phobos simulants: a review on our current knowledge
Authors: Miranda Catarina , Patel Manish , Berberan-Santos Mário Nuno , Hormigo Tiago , Correia Alexandre C. M. , Pedras Bruno , Martins Zita
Published: June 2023

Phobos, a satellite of Mars, was successfully studied by flyby, orbiter, and landing missions to the Red Planet, but several questions remain about its origin, composition, and relationship to Mars. It is suggested that Phobos is either a captured body from the asteroid belt or the outer Solar System (capture scenario), or a consequence of re-accreted ejecta from Mars (in situ formation/giant impact). So far, Phobos has been characterized by its two spectral units - blue and red - with different compositional restrains. The red unit represents most of the surface, while the blue unit is focused on the Stickney crater and surroundings. In the absence of samples returned from this satellite, simulant regolith must be studied to infer various proprieties, and complement in situ studies. To date, there are three simulants of this satellite: Phobos-1C, Phobos Captured Asteroid-1 (PCA-1), and Phobos Giant Impact-1 (PGI-1). Since Phobos may have a Mars-like composition, terrestrial analogues of Mars should also be analysed. The data retrieved from the various assays performed with these planetary field analogues may be used as a database to complement future space missions to Phobos, but, ultimately, the composition of Phobos will have to be analysed by a sample-return mission.
Induction of NETosis in ovine colostral PMN upon exposure to Neospora caninum tachyzoites
Authors: Demattio Lukas , Conejeros Ivan , Grob Daniela , Gärtner Ulrich , Taubert Anja , Hermosilla Carlos , Wehrend Axel
Published: June 2023

Colostrum is one of the most important factors influencing the health and development of mammalian neonates. It is well-established that leukocytes, including polymorphonuclear neutrophils (PMN), migrate from the mother to the infant via colostrum uptake. In this study, for the first time, we studied the ability of ovine colostral-derived PMN to extrude neutrophil extracellular traps (NETs) against the abortive apicomplexan parasite Neospora caninum. Although this cell population plays a significant role in the transmission of maternal innate immunity to neonates, little is known about colostral PMN activities in sheep. However, this cell population is a significant source of the transfer of maternal immunity to the neonate. Colostral PMN continues to exert immunological effects even after transitioning into the colostrum. The present study aimed to investigate the extrusion of NETs by ovine colostral PMN exposed to the apicomplexan parasite, N. caninum, which is known to cause devastating reproductive disorders in cattle, small ruminants, wildlife animals, and dogs. The present study is the first to demonstrate that ovine colostral PMN can produce NETs after stimulation with vital N. caninum tachyzoites. Ovine colostrum-derived NETs were detected by chromatin staining and antibody-based immunofluorescence staining of NET-specific structures, including neutrophil elastase (NE) and global histones (H1, H2A/H2B, H3, H4), as well as scanning electron microscopy (SEM) analysis.
Immunization of pigs with replication-incompetent adenovirus-vectored African swine fever virus multi-antigens induced humoral immune responses but no protection following contact challenge
Authors: Zajac Michelle D. , Trujillo Jessie D. , Yao Jianxiu , Kumar Rakshith , Sangewar Neha , Lokhandwala Shehnaz , Sang Huldah , Mallen Kylynn , McCall Jayden , Burton Leeanna , Kumar Deepak , Heitmann Emily , Burnum Tristan , Waghela Suryakant D. , Almes Kelli , Richt Juergen , Kim Tae , Mwangi Waithaka
Published: June 2023

Introduction

African swine fever virus (ASFV) is a pathogen of great economic importance given that continues to threaten the pork industry worldwide, but there is no safe vaccine or treatment available. Development of a vaccine is feasible as immunization of pigs with some live attenuated ASFV vaccine candidates can confer protection, but safety concerns and virus scalability are challenges that must to be addressed. Identification of protective ASFV antigens is needed to inform the development of efficacious subunit vaccines.

Methods

In this study, replication-incompetent adenovirus-vectored multicistronic ASFV antigen expression constructs that covered nearly 100% of the ASFV proteome were generated and validated using ASFV convalescent serum. Swine were immunized with a cocktail of the expression constructs, designated Ad5-ASFV, alone or formulated with either Montanide ISA-201™ (ASFV-ISA-201) or BioMize® adjuvant (ASFV-BioMize).

Results

These constructs primed strong B cell responses as judged by anti-pp62-specific IgG responses. Notably, the Ad5-ASFV and the Ad5-ASFV ISA-201, but not the Ad5-ASFV BioMize®, immunogens primed significantly (p < 0.0001) higher anti-pp62-specific IgG responses compared with Ad5-Luciferase formulated with Montanide ISA-201™ adjuvant (Luc-ISA-201). The anti-pp62-specific IgG responses underwent significant (p < 0.0001) recall in all the vaccinees after boosting and the induced antibodies strongly recognized ASFV (Georgia 2007/1)-infected primary swine cells. However, following challenge by contact spreaders, only one pig nearly immunized with the Ad5-ASFV cocktail survived. The survivor had no typical clinical symptoms, but had viral loads and lesions consistent with chronic ASF.

Discussion

Besides the limited sample size used, the outcome suggests that in vivo antigen expression, but not the antigen content, might be the limitation of this immunization approach as the replication-incompetent adenovirus does not amplify in vivo to effectively prime and expand protective immunity or directly mimic the gene transcription mechanisms of attenuated ASFV. Addressing the in vivo antigen delivery limitations may yield promising outcomes.
Csontstruktúrák automatizált szegmentációja CBCT felvételeken
Authors: Dorogi Gábor , Bodnár Péter , Nagy Katalin
Published: June 2023

A digitális technológia fejlődése következtében a fogászati sebészet területén is egyre gyakrabban vesszük igénybe a virtuálisműtéti tervezés és a navigált sebészet lehetőségeit. Ennek alapja a pontos képalkotás és képfeldolgozás. A rosszminőségű CT vagy CBCT felvételek rontják a felvételek feldolgozását végző algoritmusok eredményét, illetve a 3D modellekrekonstrukciójának minőségét. A kézi szegmentációval történő 3D rekonstrukció többórás manuális munkával jár,ami jelentősen megnöveli a 3D CAD/CAM alapú műtéti tervezői és gyártói folyamatok idejét és költségét.Jelen cikkünkben egy újonnan kifejlesztett módszer vizsgálatának első eredményeit szeretnénk ismertetni, mely idő-,és költséghatékony megoldás lehet a CBCT felvételek szegmentációjához. A módszer lényege egy automatizáltan működőalgoritmus, mely éldetektáláson, matematikai morfológián és képfeldolgozó műveleteken alapul. A módszer pontosságaösszehasonlításra került 40 db manuálisan végzett szegmentáció eredményével. Az eredmények (86–95% precizitás)jól mutatják, hogy a módszer az emberi feldolgozásnál pontosabb és gyorsabb eredményekre képes, illetve műtétitervezésre alkalmas megoldást biztosít.
Mathematical Modelling of a Propellent Gauging System: A Case Study on PRISMA
Authors: Shaik Riyaaz Uddien , Relangi Naresh , Thangavel Kathiravan
Published: June 2023

Propellant gauging is crucial for a spacecraft approaching the end of its lifespan. Current gauging systems for satellites typically have an accuracy rate of a few months to a year at the end of their operational life. Therefore, it is essential to determine the appropriate gauging system for mission operations. This research focuses on modeling the propellant gauging system for PRISMA, an Earth Observation (EO) satellite of the Italian Space Agency. The analysis centers on implementing algorithms that calibrate the remaining propellant mass in the satellite tank using traditional methods such as bookkeeping (BKP) and pressure-volume-temperature (PVT). To enhance accuracy in quantification, an unconventional approach called thermal propellant gauging (TPG) has been considered. Preliminary computations were conducted using data obtained from the PRISMA thermal model to understand the calibration accuracy of the three methods. At the end of its operational life, the BKP and PVT methods exhibited error rates of 4.6% and 4.8%, respectively, in calculating the mass. In contrast, the TPG method demonstrated a significantly higher precision with an error rate of 1.86%. However, at the beginning of the satellite’s operational life, the PVT and TPG methods showed error rates of 1.0% and 1.3%, respectively, while the BKP technique reported an error rate of 0.1%. Based on these findings, it has been concluded that combining the BKP and TPG approaches yields superior results throughout the satellite’s lifespan. Furthermore, the researchers have determined the specific time duration for which each of these distinct approaches can be effectively utilized.
Relationships between Serum Biomarkers of Oxidative Stress and Tobacco Smoke Exposure in Patients with Mental Disorders
Authors: Vlasceanu Ana-Maria , Gradinaru Daniela , Stan Miriana , Nitescu Viorela G. , Baconi Daniela Luiza
Published: June 2023

The role of cigarette smoking as an aggravating factor of systemic oxidative stress in patients with mental disorders has not been extensively investigated, although significantly higher rates of smoking are recorded in these subjects in comparison with the general population. In the present study, we tested the hypothesis that smoking might be an exacerbator of systemic oxidative stress, being directly correlated with the degree of exposure to tobacco smoke. We analyzed, in 76 adult subjects from a public health care unit, the relationships between serum cotinine levels as a marker of tobacco smoke exposure, and three biomarkers of oxidative stress: the serum glutathione (GSH), the advanced oxidation protein products (AOPPs), and the total serum antioxidant status (FRAP). The results indicate that the degree of tobacco smoke exposure was inversely associated with GSH levels in both passive and active smokers, suggesting that smoke particulate components’ toxicity is associated with a systemic GSH depletion. Paradoxically, the lowest AOPP levels which were positively associated with GSH, were recorded in active smoking patients whereas in passive smokers individual values of AOPPs decreased along with the increase in GSH levels. Our data suggest that an enhanced inhalation of particulate constituents of cigarette smoke could induce critical changes in systemic redox homeostasis and GSH can no longer exert its antioxidant role.
A Deep Learning Approach for State-of-Health Estimation of Lithium-Ion Batteries Based on a Multi-Feature and Attention Mechanism Collaboration
Authors: Zou Bosong , Xiong Mengyu , Wang Huijie , Ding Wenlong , Jiang Pengchang , Hua Wei , Zhang Yong , Zhang Lisheng , Wang Wentao , Tan Rui
Published: June 2023

Safety issues are one of the main limitations for further application of lithium-ion batteries, and battery degradation is an important causative factor. However, current state-of-health (SOH) estimation methods are mostly developed for a single feature and a single operating condition as well as a single battery material system, which consequently makes it difficult to guarantee robustness and generalization. This paper proposes a data-driven and multi-feature collaborative SOH estimation method based on equal voltage interval discharge time, incremental capacity (IC) and differential thermal voltammetry (DTV) analysis for feature extraction. The deep learning model is constructed based on bi-directional long short-term memory (Bi-LSTM) with the addition of attention mechanism (AM) to focus on the important parts of the features. The proposed method is validated based on a NASA dataset and Oxford University dataset, and the results show that the proposed method has high accuracy and strong robustness. The estimated root mean squared error (RMSE) are below 0.7% and 0.3%, respectively. Compared to single features, the collaboration between multiple features and AM resulted in a 25% error improvement, and the capacity rebound is well captured. The proposed method has the potential to be applied online in an end-cloud collaboration system.
Engineering Ferroptosis Inhibitors as Inhalable Nanomedicines for the Highly Efficient Treatment of Idiopathic Pulmonary Fibrosis
Authors: Guo Mengqin , Peng Tingting , Wu Chuanbin , Pan Xin , Huang Zhengwei
Published: June 2023

Idiopathic pulmonary fibrosis (IPF) refers to chronic progressive fibrotic interstitial pneumonia. It is called a “tumor-like disease” and cannot be cured using existing clinical drugs. Therefore, new treatment options are urgently needed. Studies have proven that ferroptosis is closely related to the development of IPF, and ferroptosis inhibitors can slow down the occurrence of IPF by chelating iron or reducing lipid peroxidation. For example, the ferroptosis inhibitor deferoxamine (DFO) was used to treat a mouse model of pulmonary fibrosis, and DFO successfully reversed the IPF phenotype and increased the survival rate of mice from 50% to 90%. Given this, we perceive that the treatment of IPF by delivering ferroptosis inhibitors is a promising option. However, the delivery of ferroptosis inhibitors faces two bottlenecks: low solubility and targeting. For one thing, we consider preparing ferroptosis inhibitors into nanomedicines to improve solubility. For another thing, we propose to deliver nanomedicines through pulmonary drug-delivery system (PDDS) to improve targeting. Compared with oral or injection administration, PDDS can achieve better delivery and accumulation in the lung, while reducing the systemic exposure of the drug, and is an efficient and safe drug-delivery method. In this paper, three possible nanomedicines for PDDS and the preparation methods thereof are proposed to deliver ferroptosis inhibitors for the treatment of IPF. Proper administration devices and challenges in future applications are also discussed. In general, this perspective proposes a promising strategy for the treatment of IPF based on inhalable nanomedicines carrying ferroptosis inhibitors, which can inspire new ideas in the field of drug development and therapy of IPF.
Mesenchymal Stromal Cell Therapy in Lung Transplantation
Authors: Nykänen Antti I. , Liu Mingyao , Keshavjee Shaf
Published: June 2023

Lung transplantation is often the only viable treatment option for a patient with end-stage lung disease. Lung transplant results have improved substantially over time, but ischemia-reperfusion injury, primary graft dysfunction, acute rejection, and chronic lung allograft dysfunction (CLAD) continue to be significant problems. Mesenchymal stromal cells (MSC) are pluripotent cells that have anti-inflammatory and protective paracrine effects and may be beneficial in solid organ transplantation. Here, we review the experimental studies where MSCs have been used to protect the donor lung against ischemia-reperfusion injury and alloimmune responses, as well as the experimental and clinical studies using MSCs to prevent or treat CLAD. In addition, we outline ex vivo lung perfusion (EVLP) as an optimal platform for donor lung MSC delivery, as well as how the therapeutic potential of MSCs could be further leveraged with genetic engineering.
Rhythmic TMS as a Feasible Tool to Uncover the Oscillatory Signatures of Audiovisual Integration
Authors: Bertaccini Riccardo , Ippolito Giuseppe , Tarasi Luca , Zazio Agnese , Stango Antonietta , Bortoletto Marta , Romei Vincenzo
Published: June 2023

Multisensory integration is quintessential to adaptive behavior, with clinical populations showing significant impairments in this domain, most notably hallucinatory reports. Interestingly, altered cross-modal interactions have also been reported in healthy individuals when engaged in tasks such as the Sound-Induced Flash-Illusion (SIFI). The temporal dynamics of the SIFI have been recently tied to the speed of occipital alpha rhythms (IAF), with faster oscillations entailing reduced temporal windows within which the illusion is experienced. In this regard, entrainment-based protocols have not yet implemented rhythmic transcranial magnetic stimulation (rhTMS) to causally test for this relationship. It thus remains to be evaluated whether rhTMS-induced acoustic and somatosensory sensations may not specifically interfere with the illusion. Here, we addressed this issue by asking 27 volunteers to perform a SIFI paradigm under different Sham and active rhTMS protocols, delivered over the occipital pole at the IAF. Although TMS has been proven to act upon brain tissues excitability, results show that the SIFI occurred for both Sham and active rhTMS, with the illusory rate not being significantly different between baseline and stimulation conditions. This aligns with the discrete sampling hypothesis, for which alpha amplitude modulation, known to reflect changes in cortical excitability, should not account for changes in the illusory rate. Moreover, these findings highlight the viability of rhTMS-based interventions as a means to probe the neuroelectric signatures of illusory and hallucinatory audiovisual experiences, in healthy and neuropsychiatric populations.
Wall Tension and Tubular Resistance in Kidney Cystic Conditions
Authors: Della Corte Michele , Viggiano Davide
Published: June 2023

The progressive formation of single or multiple cysts accompanies several renal diseases. Specifically, (i) genetic forms, such as adult dominant polycystic kidney disease (ADPKD), and (ii) acquired cystic kidney disease (ACKD) are probably the most frequent forms of cystic diseases. Adult dominant polycystic kidney disease (ADPKD) is a genetic disorder characterized by multiple kidney cysts and systemic alterations. The genes responsible for the condition are known, and a large amount of literature focuses on the molecular description of the mechanism. The present manuscript shows that a multiscale approach that considers supramolecular physical phenomena captures the characteristics of both ADPKD and acquired cystic kidney disease (ACKD) from the pathogenetic and therapeutical point of view, potentially suggesting future treatments. We first review the hypothesis of cystogenesis in ADPKD and then focus on ACKD, showing that they share essential pathogenetic features, which can be explained by a localized obstruction of a tubule and/or an alteration of the tubular wall tension. The consequent tubular aneurysms (cysts) follow Laplace’s law. Reviewing the public databases, we show that ADPKD genes are widely expressed in various organs, and these proteins interact with the extracellular matrix, thus potentially modifying wall tension. At the kidney and liver level, the authors suggest that altered cell polarity/secretion/proliferation produce tubular regions of high resistance to the urine/bile flow. The increased intratubular pressure upstream increases the difference between the inside (Pi) and the outside (Pe) of the tubules (∆P) and is counterbalanced by lower wall tension by a factor depending on the radius. The latter is a function of tubule length. In adult dominant polycystic kidney disease (ADPKD), a minimal reduction in the wall tension may lead to a dilatation in the tubular segments along the nephron over the years. The initial increase in the tubule radius would then facilitate the progressive expansion of the cysts. In this regard, tubular cell proliferation may be, at least partially, a consequence of the progressive cysts’ expansion. This theory is discussed in view of other diseases with reduced wall tension and with cysts and the therapeutic effects of vaptans, somatostatin, SGLT2 inhibitors, and potentially other therapeutic targets.
Carbon Nanotubes as Biosensors for Releasing Conjugated Bisphosphonates–Metal Ions in Bone Tissue: Targeted Drug Delivery through the DFT Method
Authors: Mollaamin Fatemeh , Monajjemi Majid
Published: June 2023

Bisphosphonate (BP) agents have attracted much attention for their precise therapy in some skeletal maladies demonstrated by enhancing osteoclast-mediated bone resorption. In this work, the use of CAM-B3LYP/6-311+G(d,p)/LANL2DZ to estimate the susceptibility of single-walled carbon nanotube (SWCNT) for adsorbing alendronate, ibandronate, neridronate, and pamidronate chelated to two metal cations of 2Mg2+, 2Ca2+, and 2Sr2+ through nuclear magnetic resonance and thermodynamic parameters has been accomplished. For most biological medications, oral bioavailability is too low to reach a therapeutic level, and advanced delivery systems such as formulations including permeation enhancers or enzyme inhibitors, lipid-based nanocarriers, and microneedles will likely increase the oral bioavailability of these medications properly. Therefore, the measurements have described that the eventuality of using SWCNT and BP agents becomes the norm in metal chelating of the drug delivery system, which has been selected through (alendronate, ibandronate, neridronate, pamidronate) → 2X (X = Mg2+/Ca2+/Sr2+) complexes. The NMR results of chelated alendronate, ibandronate, neridronate, and pamidronate complexes adsorbed onto (5,5) armchair SWCNT have remarked the location of active sites of tagged nitrogen (N), phosphorus (S), oxygen (O), and metal cations of magnesium (Mg2+), calcium (Ca2+), and strontium (Sr2+) in these molecules which replace the movement of the charge electron transfer in polar bisphosphonates (BPs) toward (5,5) armchair carbon nanotube (CNT). The thermodynamic results have exhibited that the substitution of 2Ca2+ cation by 2Sr2+ cation in the compound of the bioactive glasses can be efficient for treating vertebral complex fractures. However, the most fluctuation in the Gibbs free energy for BPs → 2Sr2+ has been observed at 300 K. This manuscript aimed to show that (5,5) armchair SWCNT can easily penetrate in the bone cells, delivering chelated BP–cations directly to the bone tissue. Drug delivery systems can improve the pharmacological profile, therapeutic profile, and efficacy of BP drugs and lower the occurrence of off-targets.
Rolling-Circle-Amplification-Assisted DNA Biosensors for Sensitive and Specific Detection of Hypochlorous Acid and Myeloperoxidase
Authors: Liu Bo , Ma Jia-Yi , Wang Jing , Wang Dong-Xia , Tang An-Na , Kong De-Ming
Published: June 2023

Hypochlorous acid (HClO) is a common reactive oxygen species (ROS), with a high chemical reactivity. Myeloperoxidase (MPO) is an enzyme that catalyzes in vivo redox reactions between H2O2 and Cl− to produce HClO. Abnormal levels of HClO and MPO may lead to oxidative stress, irreversible tissue damage and, thus, serious diseases; they are thus becoming important biomarkers and therapeutic targets. In this work, using HClO-induced site-specific cleavage of phosphorothioate-modified DNA to trigger rolling circle amplification (RCA), RCA-assisted biosensors have been developed for the highly sensitive and specific detection of HClO and MPO. Only two DNA oligonucleotides are used in the sensing systems. The powerful signal-amplification capability of RCA endows the sensing systems with a high sensitivity, and the specific fluorescent response of thioflavin T (ThT) to G-quadruplexes in RCA products makes a label-free signal output possible. The proposed biosensors were demonstrated to work well not only for the sensitive and specific quantitation of HClO and MPO with detection limits of 1.67 nM and 0.33 ng/mL, respectively, but also for the screening and inhibitory capacity evaluation of MPO inhibitors, thus holding great promise in disease diagnosis and drug analysis.
A New Pattern of Brain and Cord Gadolinium Enhancement in Molybdenum Cofactor Deficiency: A Case Report
Authors: Lucignani Giulia , Vattermoli Leonardo , Rossi-Espagnet Maria Camilla , Guarnera Alessia , Napolitano Antonio , Figà-Talamanca Lorenzo , Campi Francesca , Ronci Sara , Dionisi Vici Carlo , Martinelli Diego , Gandolfo Carlo , Longo Daniela
Published: June 2023

Molybdenum cofactor deficiency (MoCD) is a rare and severe autosomal recessive in-born error of metabolism caused by the mutation in MOCS1, MOCS2, MOCS3 or GEPH genes, with an incidence ranging between 1 in 100,000 and 200,000 live births. The clinical presentation with seizures, lethargy and neurologic deficits reflects the neurotoxicity mediated via sulphite accumulation, and it occurs within the first hours or days after birth, often leading to severe neurodegeneration and the patient’s death within days or months. The Imaging of Choice is a brain-specific MRI technique, which is usually performed without contrast and shows typical radiological findings in the early phase, such as diffuse cerebral oedema and infarction affecting the cortex and the basal ganglia and the white matter, as well as in the late phase, such as multicystic encephalomalacia. Our case report represents a novelty in the field, since the patient underwent a contrast-enhanced MRI to exclude a concomitant infectious disease. In the frame of the clinical presentation and laboratory data, we describe the MoCD Imaging findings for MRI morphological and advanced sequences, presenting a new contrast-enhanced MRI pattern characterized by the diffuse and linear leptomeningeal enhancement of brain, cord and spinal roots. The early identification of molybdenum cofactor deficiency is crucial because it may lead to the best multidisciplinary therapy for the patient, which is focused on the prompt and optimal management of the complications.
CoNi2O4 Coated on Activated Carbon Wheat Husk (ACWH) as a Novel Nano-Electrocatalyst for Methanol and Ethanol Electro-Oxidation
Authors: Jamali Fatemeh , Seifi Majid , Askari Mohammad Bagher
Published: June 2023

In this paper, for the first time, a CoNi2O4 nanocatalyst coated on the surface of activated carbon wheat husk (ACWH) was synthesized in the form of CoNi2O4/ACWH through a hydrothermal process. The electrocatalytic activity of this catalyst was evaluated using methanol oxidation reaction (MOR) and ethanol oxidation reaction (EOR) processes for use in anodes of alcohol fuel cells. Adding ACWH, as a cheap carbon biomass with an excellent active surface area, improves the performance of the catalyst in the oxidation of alcohols. The current density of CoNi2O4/ACWH in the MOR process is 160 mA/cm2 at an optimal methanol concentration of 2 M; this oxidation current density in the EOR process and at a concentration of 1.5 M ethanol is 150 mA/cm2. The stability of CoNi2O4/ACWH in MOR and EOR processes, after 1000 consecutive CV cycles, is 98.6% and 94.6%, respectively.
RipSetCocoaCNCH12: Labeled Dataset for Ripeness Stage Detection, Semantic and Instance Segmentation of Cocoa Pods
Authors: Restrepo-Arias Juan Felipe , Salinas-Agudelo María Isabel , Hernandez-Pérez María Isabel , Marulanda-Tobón Alejandro , Giraldo-Carvajal María Camila
Published: June 2023

Fruit counting and ripeness detection are computer vision applications that have gained strength in recent years due to the advancement of new algorithms, especially those based on artificial neural networks (ANNs), better known as deep learning. In agriculture, those algorithms capable of fruit counting, including information about their ripeness, are mainly applied to make production forecasts or plan different activities such as fertilization or crop harvest. This paper presents the RipSetCocoaCNCH12 dataset of cocoa pods labeled at four different ripeness stages: stage 1 (0–2 months), stage 2 (2–4 months), stage 3 (4–6 months), and harvest stage (>6 months). An additional class was also included for pods aborted by plants in the early stage of development. A total of 4116 images were labeled to train algorithms that mainly perform semantic and instance segmentation. The labeling was carried out with CVAT (Computer Vision Annotation Tool). The dataset, therefore, includes labeling in two formats: COCO 1.0 and segmentation mask 1.1. The images were taken with different mobile devices (smartphones), in field conditions, during the harvest season at different times of the day, which could allow the algorithms to be trained with data that includes many variations in lighting, colors, textures, and sizes of the cocoa pods. As far as we know, this is the first openly available dataset for cocoa pod detection with semantic segmentation for five classes, 4116 images, and 7917 instances, comprising RGB images and two different formats for labels. With the publication of this dataset, we expect that researchers in smart farming, especially in cocoa cultivation, can benefit from the quantity and variety of images it contains.
STAR-RIS-UAV-Aided Coordinated Multipoint Cellular System for Multi-User Networks
Authors: Shi Baihua , Wang Yang , Li Danqi , Cai Wenlong , Lin Jinyong , Zhang Shuo , Shi Weiping , Yan  Shihao , Shu Feng
Published: June 2023

Different from conventional reconfigurable intelligent surfaces (RIS), simultaneous transmitting and reflecting RIS (STAR-RIS) can reflect and transmit signals to the receiver. In this paper, to serve more ground users and increase deployment flexibility, we investigate an unmanned aerial vehicle (UAV) equipped with STAR-RIS (STAR-RIS-UAV)-aided wireless communications for multi-user networks. Energy splitting (ES) and mode switching (MS) protocols are considered to control the reflection and transmission coefficients of STAR-RIS elements. To maximize the sum rate of the STAR-RIS-UAV-aided coordinated multipoint (CoMP) cellular system for multi-user networks, the corresponding beamforming vectors as well as transmitted and reflected coefficient matrices are optimized. Specifically, instead of adopting the alternating optimization, we design an iteration method to optimize all variables for both the ES and MS protocols at the same time. Simulation results reveal that the STAR-RIS-UAV-aided CoMP system has a much higher sum rate than systems with conventional RIS or without RIS. Furthermore, the proposed structure is more flexible than fixed STAR-RIS and could greatly promote the sum rate.
“It’s Easy to Put Oneself in the Shoes of Others.” Results of a School Study in Geography Lessons on Working with Authentic Personal Narratives in Comparison to Factual Texts
Authors: Lütje Astrid , Budke Alexandra
Published: June 2023

Texts represent the most frequently used medium in geography teaching, although they do not belong to leading subject-specific media. Despite their undisputed didactic importance, they have not yet been sufficiently researched. In this article, we consider the use of authentic and personal narratives in geography lessons. We first show their theoretical potential for realistic, multi-perspective and motivating teaching. Then, we present a school study in which the use of authentic, personal narratives was investigated in comparison to a factual text. The areas of investigation were the students’ understanding of the content of a geographical topic, their memory performance and their motivation to work. The results show that authentic, personal narratives are better suited than factual texts to convey a topic to pupils in a multi-perspective and differentiated way. They also confirm their potential to empathise better with other people and to understand their actions through changes in perspective. Regarding recall performance, however, the results show no difference between the two groups. Finally, the results of the school study are considered in the context of forming suggestions for the use of authentic, personal narratives in geography lessons.
Reactive Transport Processes in Proton Exchange Membrane Fuel Cells
Authors: Min Ting , Zhang Ruiyuan , Chen Li , Zhou Qiang
Published: June 2023

Proton exchange membrane fuel cells are devices that directly convert chemical energy to electricity. A hydrogen oxidation reaction takes place on the anode side, generating protons and electrons. In the cathode, oxygen reduction reaction involving oxygen, proton and electron occurs, producing water and heat. The water content in PEMFCs should be maintained at a reasonable amount to avoid water flooding or membrane dehydration. The thermal management and water management of PEMFCs are important for an efficient and stable operation of PEMFCs. Inside the multiscale spaces of PEMFCs, multiphase flow with a phase change, heat and mass transfer, proton and electron conduction, and electrochemical reaction simultaneously take place, which play important roles in the performance, lifetime and cost of PEMFCs. These processes should be well understood for better designing PEMFCs and improving the thermal management and water management.
Exploiting Cheese Whey for Efficient Selection of Polyhydroxyalkanoates-Storing Bacteria
Authors: Lagoa-Costa Borja , Kennes Christian , Veiga María C.
Published: June 2023

Agroindustrial by-products hold an enormous potential to be bioconverted into high-value-added products such as polyhydroxyalkanoates (PHA), a cost-effective alternative to conventional plastics. In this study, cheese whey, a highly abundant side stream of the cheese making process, was explored as a feasible substrate for the selection of a mixed culture highly enriched in PHA-storing bacteria using a sequencing batch reactor under an aerobic dynamic feeding regime. For that, the absence/presence of thiourea, magnesium and iron, as well as the application of two different organic loading rates (OLR), i.e., 60 and 80 CmM d−1, were tested. The results showed an improved culture selection when thiourea, magnesium and iron were added to the culture medium as well as when the highest OLR was applied. Under these conditions, the biomass achieved a maximum PHA storage of 54% and a PHA production rate of 4.81 Cmmol-PHA L−1 h−1. Additionally, the study of the microbial community showed that during this period of maximum productivity, the biomass was enriched in Azoarcus and Amaricoccus bacterial species. Conclusively, cheese whey can be considered a good feedstock to efficiently select a mixed culture with high potential to accumulate PHA and a good way to give this by-product added value.
Exploration of Natural Product Repository by Combined Genomics and Metabolomics Profiling of Mangrove-Derived Streptomyces murinus THV12 Strain
Authors: Das Vineetha , Chatterjee Niladri Sekhar , Pushpakaran Prinetha Uruparambil , Lalitha Kuttanappilly V. , Joseph Toms C.
Published: June 2023

Streptomyces, one of the largest genera belonging to the phylum Actinobacteria, contribute to more than 60% of the clinically relevant antibiotics. The present study outlined the genomics and the metabolomics of a mangrove-derived Streptomyces murinus THV12 strain. The Illumina Hiseq 2500 platform-based whole-genome sequencing of the Streptomyces strain generated a consensus sequence of 8,363,247 bp with 107 contigs and 7345 protein-coding genes, which shared significant homology with genes from Streptomyces murinus. The detection of secondary metabolite biosynthetic gene clusters (smBGCs) in the genome performed using the pipeline antiSMASH v6.1.1 revealed that the strain harbored 47 secondary metabolite clusters, which represented 17.9% of the 8.3 Mb genome. The smBGCs belonged to the metabolite categories: PKS, NRPS, ectoine, lassopeptides, lantipeptides, melanin, siderophores, terpenes and other putative products. The strain showed broad-spectrum antimicrobial activity with a inhibition zone of 30 mm against Gram-positive bacteria and Candida albicans. The secondary metabolite profiling of the crude extracts from the fermentation broth of THV12 was performed with the HPLC system coupled with an Orbitrap Exploris120 high-resolution mass spectrometer. As revealed by in silico analysis, compounds such as actinomycin D, pentamycin, desferrioxamine E and cinnabaramide A were detected with MS/MS analysis. Apart from this, compounds belonging to different chemical scaffolds, such as cyclic and linear peptides, bacterial alkaloids, linear polyketides and terpenoids, were also present in the fermentation broth of the strain when cultivated under the OSMAC (One Strain Many Compounds) approach. Thus, the combined strategy of genome mining and metabolomics of the mangrove-derived strain aided in exploring the chemical diversity of BGCs and new chemical entities, which can contribute to drug leads.