bluuebunny/crossref_metadata_2025 huggingface dataset:
Non-Intrusive Room Occupancy Prediction Performance Analysis Using Different Machine Learning Techniques
Authors: Aliero Muhammad S. , Pasha Muhammad F. , Smith David T. , Ghani Imran , Asif Muhammad , Jeong Seung Ryul , Samuel Moveh
Published: December 2022

Recent advancements in the Internet of Things and Machine Learning techniques have allowed the deployment of sensors on a large scale to monitor the environment and model and predict individual thermal comfort. The existing techniques have a greater focus on occupancy detection, estimations, and localization to balance energy usage and thermal comfort satisfaction. Different sensors, actuators, and analytic data methods are often non-invasively utilized to analyze data from occupant surroundings, identify occupant existence, estimate their numbers, and trigger the necessary action to complete a task. The efficiency of the non-invasive strategies documented in the literature, on the other hand, is rather poor due to the low quality of the datasets utilized in model training and the selection of machine learning technology. This study combines data from camera and environmental sensing using interactive learning and a rule-based classifier to improve the collection and quality of the datasets and data pre-processing. The study compiles a new comprehensive public set of training datasets for building occupancy profile prediction with over 40,000 records. To the best of our knowledge, it is the largest dataset to date, with the most realistic and challenging setting in building occupancy prediction. Furthermore, to the best of our knowledge, this is the first study that attained a robust occupancy count by considering a multimodal input to a single output regression model through the mining and mapping of feature importance, which has advantages over statistical approaches. The proposed solution is tested in a living room with a prototype system integrated with various sensors to obtain occupant-surrounding environmental datasets. The model’s prediction results indicate that the proposed solution can obtain data, and process and predict the occupants’ presence and their number with high accuracy values of 99.7% and 99.35%, respectively, using random forest.
Can We Predict Male Strobili Production in Araucaria angustifolia Trees with Dendrometric and Morphometric Attributes?
Authors: Demétrio Laryssa , Hess André Felipe , de Sousa Alex Nascimento , Costa Emanuel Arnoni , Liesenberg Veraldo , Freisleben Maurício Jean , Schimalski Marcos Benedito , Finger César Augusto Guimarães , Hofiço Noé dos Santos Ananias , Bispo Polyanna da Conceição
Published: December 2022

Knowledge of the formation and correlation of reproductive structures with dendro/morphometric variables of the Araucaria angustifolia tree species is a tool for its conservation and viability for sustainable forest management. We counted visually in araucaria trees the number of male strobili in RGB images acquired by Remotely Piloted Aircraft System (RPAs) over forest remnants. The diameter at the breast height (d), total height (h), crown radii (cr), crown base height (cbh), periodic annual increment in d based on increment rolls were measured, and the morphometric indices and crown efficiency were calculated with these variables. The relationships of these variables with male strobili production were analyzed by Pearson’s correlation and multivariate analysis techniques (cluster, factorial analysis, and main components). The morphometric variables correlated with the production of male strobili were d (r = 0.58, p-0.0002), crown diameter (r = 0.62, p < 0.0001), crown area (r = 0.62, p < 0.0001), coverage index (r = 0.51, p-0.001) and slenderness (r = −0.39, p-0.01). We argue that the production of male strobili is related to the vitality, dimension, density, growth space, and position in the stratum of the tree inside the forest, inferring a relationship between reproductive structures with the shape, size, growth space, and tree density. Such aspects shall be considered in future forest management initiatives in Southern Brazil.
TinyML for Ultra-Low Power AI and Large Scale IoT Deployments: A Systematic Review
Authors: Schizas Nikolaos , Karras Aristeidis , Karras Christos , Sioutas Spyros
Published: December 2022

The rapid emergence of low-power embedded devices and modern machine learning (ML) algorithms has created a new Internet of Things (IoT) era where lightweight ML frameworks such as TinyML have created new opportunities for ML algorithms running within edge devices. In particular, the TinyML framework in such devices aims to deliver reduced latency, efficient bandwidth consumption, improved data security, increased privacy, lower costs and overall network cost reduction in cloud environments. Its ability to enable IoT devices to work effectively without constant connectivity to cloud services, while nevertheless providing accurate ML services, offers a viable alternative for IoT applications seeking cost-effective solutions. TinyML intends to deliver on-premises analytics that bring significant value to IoT services, particularly in environments with limited connection. This review article defines TinyML, presents an overview of its benefits and uses and provides background information based on up-to-date literature. Then, we demonstrate the TensorFlow Lite framework which supports TinyML along with analytical steps for an ML model creation. In addition, we explore the integration of TinyML with network technologies such as 5G and LPWAN. Ultimately, we anticipate that this analysis will serve as an informational pillar for the IoT/Cloud research community and pave the way for future studies.
DNA Barcoding and ITS2 Secondary Structure Predictions in Taro (Colocasia esculenta L. Schott) from the North Eastern Hill Region of India
Authors: Devi Mayengbam Premi , Dasgupta Madhumita , Mohanty Sansuta , Sharma Susheel Kumar , Hegde Vivek , Roy Subhra Saikat , Renadevan Rennya , Kumar Kinathi Bipin , Patel Hitendra Kumar , Sahoo Manas Ranjan
Published: December 2022

Taro (Colocasia esculenta L. Schott, Araceae), an ancient root and tuber crop, is highly polygenic, polyphyletic, and polygeographic in nature, which leads to its rapid genetic erosion. To prevent the perceived loss of taro diversity, species discrimination and genetic conservation of promising taro genotypes need special attention. Reports on genetic discrimination of taro at its center of origin are still untapped. We performed DNA barcoding of twenty promising genotypes of taro indigenous to the northeastern hill region of India, deploying two chloroplast-plastid genes, matK and rbcL, and the ribosomal nuclear gene ITS2. The secondary structure of ITS2 was determined and molecular phylogeny was performed to assess genetic discrimination among the taro genotypes. The matK and rbcL genes were highly efficient (>90%) in amplification and sequencing. However, the ITS2 barcode region achieved significant discrimination among the tested taro genotypes. All the taro genotypes displayed most similar sequences at the conserved matK and rbcL loci. However, distinct sequence lengths were observed in the ITS2 barcode region, revealing accurate discriminations among the genotypes. Multiple barcode markers are unrelated to one another and change independently, providing different estimations of heritable traits and genetic lineages; thus, they are advantageous over a single locus in genetic discrimination studies. A dynamic programming algorithm that used base-pairing interactions within a single nucleic acid polymer or between two polymers transformed the secondary structures into the symbol code data to predict seven different minimum free energy secondary structures. Our analysis strengthens the potential of the ITS2 gene as a potent DNA barcode candidate in the prediction of a valuable secondary structure that would help in genetic discrimination between the genotypes while augmenting future breeding strategies in taro.
‘“I Like Her Parrots”’: Accessibility, Aesthetics, Zadie Smith’s On Beauty and the Women’s Prize for Fiction
Authors: Mousley Andy
Published: December 2022

One of the key criteria given to the judges of the Women’s Prize for Fiction is ‘accessibility’. Accessibility, readability and more recently ‘relatability’, have gained traction in recent years over other indices of literary value, such as quasi-modernist notions of difficulty and alterity. This article questions the gendering of accessibility as well as its relationship to neoliberalism. Its specific focus is on the 2006 winner of the Women’s Prize for Fiction, Zadie Smith’s On Beauty, a book that foregrounds questions of aesthetics and aesthetic value and attempts in its form and content to negotiate between the popular and the literary. Simultaneously problematising and simplifying ideas of beauty and artistic worth, the novel’s success was arguably due, in part, to the way that it at once tapped into and resolved insecurities surrounding judgements of aesthetic value. Controversies over literary awards are routine, but this article argues that they were especially rife in the 2000s. This article also sets these controversies over literary value and the novel’s own various engagements with the aesthetic in the context of recent, postcritical backlashes against the hermeneutics of suspicion that came to influence literary and critical theory in the 1980s and 1990s.
Comparative Physiochemical Mechanisms of Salt Tolerance between Cornus florida and Cornus hongkongensis subsp. elegans Based on Seed Germination and Seedling Growth
Authors: Cai Mei , Yang Ling , Wang Haowei , Fu Xiangxiang
Published: December 2022

Cornus florida and Cornus hongkongensis subsp. elegans are potential species in saline-alkali areas for use as horticultural plants with high ornamental value. This work aimed to screen suitable tolerant dogwoods by comparing the responses of two dogwoods to salt stress according to phenotypic and physiochemical indicators on germination and seedling growth. For relieving seed dormancy, two pretreatments were performed on seeds, coded as T1 (soaked by gibberellic acid (GA3) alone) and T2 (soaked by GA3 with gradient salt concentrations of 0.2%, 0.3%, 0.4%, and 0.45%), and pretreated seeds were then germinated at the corresponding salt concentrations in pretreatment. As salt levels increased, the seed germination parameters decreased for both dogwoods, whereas the relative salt damage rate (SDR) significantly increased. While the growth of above-ground parts was significantly inhibited, that of underground parts changed little. Furthermore, the malondialdehyde content (MDA), superoxide dismutase activity (SOD), organic solutes (soluble sugar (SS) and proline (Pro)), and inorganic ions (K+, Na+, Ca2+) significantly accumulated in seedlings with increasing salinity levels, whereas K+/Na+ ratio decreased. Correlation analysis indicates that organic osmolyte (SS) and ion osmoregulation could be the main physiological mechanisms conferring salinity tolerance for both dogwoods. Compared with osmolytes, ion osmoregulation may be more critical for salt tolerance in the seedlings of the studied dogwoods. Collectively, the superior salt tolerance of C. florida to C. hongkongensis subsp. elegans suggests that the two species could be cultivated in saline areas with 0.3% and 0.2% salt levels, respectively.
Association between 10-Year Atherosclerotic Cardiovascular Disease Risk and Estimated Glomerular Filtration Rate in Chinese People with Normal to Slightly Reduced Kidney Function: A Cross-Sectional Study
Authors: Chen Feilong , Liu Junting , Han Shaomei , Xu Tao
Published: December 2022

Many studies suggest that cardiovascular-related mortality is higher in patients with end-stage renal disease, but few focus on the risk of atherosclerotic cardiovascular disease (ASCVD) in subjects with normal to slightly reduced kidney function. Our study aimed to explore the association between normal to slightly decreased estimated glomerular filtration rate (eGFR) and 10-year ASCVD risk levels among subjects with relative health conditions. A total of 12,986 subjects from the Chinese Physiological Constant and Health Condition survey were included. We used the Chronic Kidney Disease Epidemiology Collaboration equations to calculate eGFR and the 10-year ASCVD risk scores to assess the subjects’ risk of 10-year ASCVD. Ordinal logistic regression analysis was conducted to explore the association between ASCVD risk levels and eGFR, and adjust the possible confounding factors. Results indicated that the 10-year ASCVD risk scores gradually increased following the decrease in eGFR. Subjects who had smaller eGFR were more likely to have a greater risk of 10-year ASCVD. Additionally, the association between eGFR and 10-year ASCVD risk level changed with varying eGFR. The risk of one or more levels increasing in the 10-year ASCVD risk group was 5.20 times (Quartile 2 [Q2], 95%CI: 3.90, 6.94), 9.47 times (Q3, 95%CI: 7.15, 12.53) and 11.41 times (Q4, 95%CI: 8.61, 15.12) higher compared with Q1. We found that eGFR was significantly associated with 10-year ASCVD risk among Chinese subjects with normal to slightly reduced kidney function. Therefore, clinicians should strengthen the monitoring of cardiovascular risk in patients with renal impairment (even if renal function is only mildly reduced), assess the patients’ risk of ASCVD, and take early action in high-risk groups to reduce the risk of adverse atherosclerotic cardiovascular events.
Distance Learning in Pandemic Age: Lessons from a (No Longer) Emergency
Authors: Addimando Loredana
Published: December 2022

For the first time in the history of the global school system, the adoption of distance education modalities became necessary in response to the measures and restrictions implemented to stem the global pandemic generated by COVID-19. Online learning is not a new topic in education; it refers to studying for a certificate using online platforms that offer online courses rather than visiting lectures. Distance learning is a type of training that involves online learning under the supervision of a classroom teacher, but it can still be a little-known modality for both teachers and students. Preparing students for interactions and emotion management is essential in any teaching mode to maximize the learning and participation of the entire class group. This issue becomes even more critical in distance learning because it lacks those aspects of immediacy and concreteness typical of face-to-face interaction. The present article attempts to review the impact of distance learning versus traditional education brought about by the forced experience of distance learning due to the pandemic. In summary, this research has provided some initial findings about distant learning research during the pandemic age. To have a successful learning experience, students must be aware of their responsibilities and master their areas of autonomy, emotions, and feelings. Teaching at a distance is a challenge. As a general rule, learning activities that are successful in a traditional classroom may be adapted to the distance learning setting, but this will take more than a few minor tweaks to the slides or handouts. In order to engage pupils and maintain their attention and motivation levels, these techniques will probably call for more imaginative and inventive ways.
Does the Intensity of the Headache Differ According to the Level of Neck Disability in Chronic Migraine Patients?
Authors: Onan Dilara , Martelletti Paolo
Published: December 2022

Chronic migraine (CM) patients who report a high frequency and intensity of headaches also report neck pain (NP) and neck disability (ND) in neck activities that require stability. In this context, CM patients may report different headache intensities at different levels of ND. Our aim in this study is to investigate whether the intensity of headaches differs according to the level of ND in CM patients. Headache intensity and NP intensity were evaluated with the Visual Analog Scale (VAS), and ND was evaluated with the Neck Disability Index (NDI). A total of 142 patients who met the inclusion criteria were included in the study. The mean age was 53.24 ± 12.08 years. The median number of monthly headache days was 20. According to VAS, the median headache intensity was 10(4–10) cm and the median of NP intensity was 9(1–10) cm. The mean NDI was 28.45 ± 10.28. There was a difference in headache intensity between mild and severe disability levels (p = 0.007, Z = −3.289); headache intensity between mild and complete disability levels (p = 0.000, Z = −4.421); and headache intensity between moderate and complete disability levels (p = 0.004, Z = −2.212). Although the difference in headache intensity between ND levels is small, a median increase of 2 cm in headache intensity at mild ND levels may result in complete ND. A median increase of 1 cm in headache intensity at the moderate ND level may cause complete disability in the neck. According to our results, the intensity of headaches of CM patients differed according to the level of ND. We consider our results to be clinically important in this context.
How Family Living Arrangements and Migration Distances Shape the Settlement Intentions of Rural Migrant Workers in China
Authors: Che Lei , Du Haifeng , Jin Xiaoyi , Feldman Marcus W.
Published: December 2022

Rural migrant workers and their families will decide the future of China’s urbanization. Using data from the “China Migrants Dynamic Survey and Hundreds of Villages Investigation” carried out in 2018, we examine whether and how family living arrangements and migration distances shape rural migrant workers’ settlement intentions in urban areas. In general, rural migrant workers’ settlement intention is shown to be weak. However, individuals with children are more likely to have a stronger intention to settle permanently in urban areas. Among geographical factors, geospatial distance exerts a negative influence on migrant parents’ settlement intention when the interaction effect of family living arrangements and migration distances is considered. Migrant families are increasingly concentrated in cities near their hometowns with a low entry barrier that allows them to gain access to better amenities. Socio-economic factors, especially disposable income, human resources, and housing conditions, play significant roles in migrant parents’ settlement intention. The age and hometown region of migrant parents are also closely related to their intentions to settle in urban areas. Potential channels for the management of urbanization policy are also explored.
Walking, Running, Swimming: An Analysis of the Effects of Land and Water Aerobic Exercises on Cognitive Functions and Neural Substrates
Authors: Serra Laura , Petrosini Laura , Mandolesi Laura , Bonarota Sabrina , Balsamo Francesca , Bozzali Marco , Caltagirone Carlo , Gelfo Francesca
Published: December 2022

In the brain and cognitive reserves framework, aerobic exercise is considered as a protective lifestyle factor able to induce positive effects on both brain structure and function. However, specific aspects of such a beneficial effect still need to be completely clarified. To this aim, the present narrative review focused on the potential brain/cognitive/neural reserve–construction mechanisms triggered by different aerobic exercise types (land activities; such as walking or running; vs. water activities; such as swimming), by considering human and animal studies on healthy subjects over the entire lifespan. The literature search was conducted in PubMed database. The studies analyzed here indicated that all the considered kinds of activities exert a beneficial effect on cognitive/behavioral functions and on the underlying brain neurobiological processes. In particular, the main effects observed involve the cognitive domains of memory and executive functions. These effects appear related to structural and functional changes mainly involving the fronto-hippocampal axis. The present review supports the requirement of further studies that investigate more specifically and systematically the effects of each type of aerobic activity, as a basis to plan more effective and personalized interventions on individuals as well as prevention and healthy promotion policies for the general population.
To Save a Girl-Child, You Must Train a Boy-Child: A Note on Situational Irony
Authors: Amoo Emmanuel O. , Adebayo Mercy E. , Owoeye Michael O. , Egharevba Matthew E.
Published: December 2022

Despite numerous initiatives and resources to save and protect the health and sexual rights of girls and women, the persistently high rate of unwanted pregnancy, abortion, and sexual violence in sub-Saharan Africa (SSA) has remain a topical public health challenge. This study hypothesised that the continuous conspicuous omission of boys/men in the interventions to combat this menace could be a long-life impediment to the realisation of sustainable health for girls and women in the region. The study adopted a systematic review of extant population-based published studies from Scopus, Google Scholars, PubMed, EMBASE, and AJOL. Literature coverage included the post-United Nations’ coordinated International Conference on Population and Development (ICPD), Cairo, 1994, which marked the beginning of a massive campaign for women/girls sexual rights. The obtained qualitative data were appraised and synthesised towards spurring policy recommendations for gender balanced initiatives on the sexual and reproductive health rights in SSA. The study highlighted that unwanted pregnancy occurs only when a boy/man has unprotected sex with a girl/woman without considering her choice or rights. It is considered ironic that the dominant factors are boys and men but many enlightenment initiatives/campaigns are concentrated on girls and women. The study developed a schematic save-a-girl-child framework that illustrated the possible dividends inherent in the training of a boy-child to achieve a safer world for the girls/women. It recommends increase in the exposure of boys and men to sexual education and counselling, which can motivate them to be supporters of family planning, supporters of only wanted pregnancy, wanted fatherhood, marital fidelity, intimate partners’ harmonious living rather than violence, and wife or partner empowerment.
The Relationship between Perceptions and Objective Measures of Greenness
Authors: Hart Joy L. , Yeager Ray A. , Riggs Daniel W. , Fleischer Daniel , Owolabi Ugochukwu , Walker Kandi L. , Bhatnagar Aruni , Keith Rachel J.
Published: December 2022

Exposure to greenness has been studied through objective measures of remote visualization of greenspace; however, the link to how individuals interpret spaces as green is missing. We examined the associations between three objective greenspace measures with perceptions of greenness. We used a subsample (n = 175; 2018–2019) from an environmental cardiovascular risk cohort to investigate perceptions of residential greenness. Participants completed a 17-item survey electronically. Objective measurements of greenness within 300 m buffer around participants home included normalized difference vegetation index (NDVI), tree canopy and leaf area index. Principal component analysis reduced the perceived greenspaces to three dimensions reflecting natural vegetation, tree cover and built greenspace such as parks. Our results suggest significant positive associations between NDVI, tree canopy and leaf area and perceived greenness reflecting playgrounds; also, associations between tree canopy and perceived greenness reflecting tree cover. These findings indicate that the most used objective greenness measure, NDVI, as well as tree canopy and leaf area may most align with perceptions of parks, whereas tree canopy alone captures individuals’ perceptions of tree cover. This highlights the need for research to understand the complexity of green metrics and careful interpretation of data based on the use of subjective or objective measures of greenness.
Suicidal Ideation, Planning, and Attempts among Canadian Coast Guard and Conservation and Protection Officers
Authors: Nisbet Jolan , Jamshidi Laleh , Andrews Katie L. , Teckchandani Taylor A. , Price Jill A. B. , Ricciardelli Rosemary , Anderson Gregory S. , Carleton R. Nicholas
Published: December 2022

The current study provides estimates of suicidal ideation, planning, and attempts among Canadian Coast Guard personnel and Canadian Conservation and Protection Officers. Participants (n = 385; 59% men) completed a self-report survey that collected past-year and lifetime estimates of suicidal ideation, planning, attempts, sociodemographic information, and symptoms related to mental health disorders. Within the sample, participants reported lifetime suicidal ideation (25.7%), planning (10.9%), and attempts (5.5%). Participants reported past-year suicidal ideation (7.5%), planning (2.1%), and the percentage of attempts was too marginal to report due to ethical considerations. Canadian Coast Guard personnel and Conservation and Protection Officers reported higher percentages of past-year and lifetime suicidal ideation, planning, and attempts than the Canadian general population, but the percentages reported are comparable to other Canadian PSP sectors. No statistically significant results were observed for the sociodemographic covariates within the past-year, whereas, statistically significant results were observed for the lifetime sociodemographic covariates of age, province of residence, and previous work experience. There were statistically significant associations between past-year suicidal ideation and positive screens for major depressive disorder (MDD) and general anxiety disorder (GAD); as well, past-year suicidal planning was associated with social anxiety disorder (SAD). There were also statistically significant associations between lifetime suicidal ideation, planning, and attempts and positive screens for posttraumatic stress disorder (PTSD), MDD, and SAD. Lifetime suicidal ideation and planning were associated with panic disorder (PD). The current estimates provide valuable information for clinicians and stakeholders involved in prevention programs, treatment, or future research.
Environmental Noise Exposure and Sleep Habits among Children in a Cohort from Northern Spain
Authors: Arregi Ane , Lertxundi Aitana , Vegas Oscar , García-Baquero Gonzalo , Ibarluzea Jesus , Anabitarte Asier , Barroeta Ziortza , Jimeno-Romero Alba , Subiza-Pérez Mikel , Lertxundi Nerea
Published: December 2022

Environmental noise is considered the second most serious environmental risk factor in Europe. However, little evidence exists regarding its impact on health and sleep in children, and the results are inconclusive. In this study, we aim to analyse the effect of environmental noise exposure on 11-year-old children’s sleep habits. Data were collected from 377 participants in the INMA-Gipuzkoa (INfancia y Medio Ambiente) cohort project using both parent-reported and actigraphic sleep measures. The results revealed that 60% of children have a day-evening-night environmental noise exposure (Lden) of above 55 dB, which is defined as a “high noise level”. No differences in noise exposure were observed between different socioeconomic groups. However, no effect of environmental noise was found on sleep variables. The paper highlights the importance of studying how environmental noise may affect children’s sleep.
Quality of Life and Mood Status Disturbances in Cohabitants of Patients with Alopecia Areata: A Cross-Sectional Study in a Spanish Population
Authors: Sánchez-Díaz Manuel , Díaz-Calvillo Pablo , Ureña-Paniego Clara-Amanda , Molina-Leyva Alejandro , Arias-Santiago Salvador
Published: December 2022

A poor quality of life has been described in patients suffering from Alopecia Areata (AA). However, there is little evidence on how AA can impact on those living with patients. The aim of this study is to analyze the impact of AA on a cohabitant’s quality-of-life, mood status disturbances and sexual satisfaction. This is a cross-sectional study of AA patients and their cohabitants. Socio-demographic variables and disease severity, the quality of life, mood status disturbances and sexual dysfunction were collected using validated questionnaires. Eighty-four subjects were included in the study: 42 AA patients and 42 cohabitants. A poor quality of life and worse disease control in the patients were associated with a poorer quality of life of the family, higher scores of anxiety and depression, and the lower sexual satisfaction of cohabitants (p < 0.05). Anxiety and depression in patients were associated with worse family quality of life, higher rates of anxiety and less sexual satisfaction in cohabitants (p < 0.05). To conclude, AA seems to have an impact on the quality of life of cohabitants, leading to increased rates of anxiety, depression, a poorer quality of life, and reduced sexual satisfaction. In light of the results, a global approach for AA patients, including the care of the people who live with them, should be implemented.
Study of an Anti-Doping Education Program in Spanish Sports Sciences Students
Authors: García-Martí Carlos , Ospina-Betancurt Jonathan , Asensio-Castañeda Eva , Chamorro José L.
Published: December 2022

Doping continues to be one of the biggest risks to the credibility of elite sports, and its practice remains widespread among athletes despite improved controls. Athletes’ support personnel could be key to preventing doping behavior. In this sense, anti-doping education for this population appears as a possible strategy to reduce doping behaviors in elite sport, but these programs must be evaluated and designed based on scientific evidence. The aim of this research is to explore the impact of an anti-doping education program about substances perceived efficacy, ill-health short- and long-term effects, and the morality of doping substance use in Spanish sports sciences students. Method: A total of 145 students of Physical Activity and Sport Sciences (PASS) from different Spanish universities who took an online anti-doping educational course of the Spanish Anti-Doping Commission (CELAD) answered a questionnaire on their perceptions about doping before, after, and four months later. Results: The results show that the course reduced students’ ignorance about the effects of substances on performance and health and increased their moral judgment and feelings against doping. Discussion: The results are in line with previous research that showed that the moral stance against doping can be improved through educational programs. Conclusion: Online educational interventions can be effective in reducing doping behavior, so their future implementation among ASP can be an effective strategy to reduce doping behavior.
Reduced Elastin Fibers and Melanocyte Loss in Vitiliginous Skin Are Restored after Repigmentation by Phototherapy and/or Autologous Minigraft Transplantation
Authors: Hirobe Tomohisa , Enami Hisao
Published: December 2022

Vitiligo is a hypopigmentation disease characterized by melanocyte death in the human epidermis. However, the mechanism of vitiligo development and repigmentation is largely unknown. Dermal fiber components might play an important role in vitiligo development and repigmentation. Indeed, our preliminary study demonstrated that elastin fibers were decreased in vitiliginous skin, suggesting that the elastin fiber is one of the factors involved in vitiligo development and repigmentation. To confirm our hypothesis, we investigated whether elastin fibers can be restored after treatment using phototherapy and/or autologous skin transplantation. Punch biopsies from 14 patients of stable nonsegmental vitiligo vulgaris were collected from nonlesional, lesional, and repigmented skin, and processed to dopa and combined dopa–premelanin reactions. Melanocytes positive to the dopa reaction and melanoblasts/melanocytes positive to the combined dopa–premelanin reaction were surveyed. Moreover, elastin fibers were detected by Victoria blue staining. Numerous melanocytes and melanoblasts were observed in the epidermis of repigmented skin after the treatment. Moreover, in the dermis of repigmented skin, elastin fibers were completely recovered or even upregulated. These results suggest that melanocyte loss in the vitiliginous skin, as well as melanocyte differentiation in repigmented skin, may be at least in part regulated by elastin fibers in the dermis.
Impaired Pain Processing at a Brainstem Level Is Involved in Maladaptive Neuroplasticity in Patients with Chronic Complex Regional Pain Syndrome
Authors: Thoma Pauline , Drämel Nina , Grothe Matthias , Lotze Martin , Fleischmann Robert , Strauss Sebastian
Published: December 2022

Neuroinflammatory mechanisms and maladaptive neuroplasticity underlie the progression of complex regional pain syndrome (CRPS), which is prototypical of central neuropathic pain conditions. While cortical maladaptive alterations are well described, little is known about the contribution of the brainstem to the pathophysiology. This study investigates the role of pain-modulatory brainstem pathways in CRPS using the nociceptive blink reflex (nBR), which not only provides a direct read-out of brainstem excitability and habituation to painful stimuli but may also be suitable for use as a diagnostic biomarker for CRPS. Thirteen patients with CRPS and thirteen healthy controls (HCs) participated in this prospective case-control study investigating the polysynaptic trigemino-cervical (R2) nBR response. The R2 area and its habituation were assessed following repeated supraorbital electrical stimulation. Between-group comparisons included evaluations of diagnostic characteristics as a potential biomarker for the disease. Patients with CRPS showed a substantial decrease in habituation on the stimulated (Cohen’s d: 1.3; p = 0.012) and the non-stimulated side (Cohen’s d: 1.1; p = 0.04). This is the first study to reveal altered nBR habituation as a pathophysiological mechanism and potential diagnostic biomarker in CRPS. We confirmed previous findings of altered nBR excitability, but the diagnostic accuracy was inferior. Future studies should investigate the nBR as a marker of progression to central mechanisms in CRPS and as a biomarker to predict treatment response or prognosis.
Incremental Entity Blocking over Heterogeneous Streaming Data
Authors: Araújo Tiago Brasileiro , Stefanidis Kostas , Pires Carlos Eduardo Santos , Nummenmaa Jyrki , da Nóbrega Thiago Pereira
Published: December 2022

Web systems have become a valuable source of semi-structured and streaming data. In this sense, Entity Resolution (ER) has become a key solution for integrating multiple data sources or identifying similarities between data items, namely entities. To avoid the quadratic costs of the ER task and improve efficiency, blocking techniques are usually applied. Beyond the traditional challenges faced by ER and, consequently, by the blocking techniques, there are also challenges related to streaming data, incremental processing, and noisy data. To address them, we propose a schema-agnostic blocking technique capable of handling noisy and streaming data incrementally through a distributed computational infrastructure. To the best of our knowledge, there is a lack of blocking techniques that address these challenges simultaneously. This work proposes two strategies (attribute selection and top-n neighborhood entities) to minimize resource consumption and improve blocking efficiency. Moreover, this work presents a noise-tolerant algorithm, which minimizes the impact of noisy data (e.g., typos and misspellings) on blocking effectiveness. In our experimental evaluation, we use real-world pairs of data sources, including a case study that involves data from Twitter and Google News. The proposed technique achieves better results regarding effectiveness and efficiency compared to the state-of-the-art technique (metablocking). More precisely, the application of the two strategies over the proposed technique alone improves efficiency by 56%, on average.
Information Needs of Gravel Road Stakeholders
Authors: Abbas Nada , Kans Mirka
Published: December 2022

Within any ecosystem, information sharing is essential. In this paper, the Swedish gravel road ecosystem is studied, where information plays a crucial role for the effective management of operations and maintenance. However, efficient information sharing is not enabled due to the lack of appropriate information systems. For addressing this issue, this paper intends to elicit information needs of gravel road stakeholders to support the design of a cloud-based information system. The main purpose is to explore the information needs of stakeholders within the Swedish gravel road ecosystem. Data were collected through in-depth semi-structured interviews with 11 participants representing key stakeholders in the ecosystem. Template analysis was used for analyzing the interview results. The major findings were a set of information needs covering road identification and condition, weather conditions, accessibility and traffic, maintenance policy, and sensor data. The results form a comprehensive information model for the further development of a cloud-based gravel road management system that would contribute to increased traffic safety and comfort, lower maintenance and management costs, and better decision-making abilities.
Disease Recognition in X-ray Images with Doctor Consultation-Inspired Model
Authors: Phung Kim Anh , Nguyen Thuan Trong , Wangad Nileshkumar , Baraheem Samah , Vo Nguyen D. , Nguyen Khang
Published: December 2022

The application of chest X-ray imaging for early disease screening is attracting interest from the computer vision and deep learning community. To date, various deep learning models have been applied in X-ray image analysis. However, models perform inconsistently depending on the dataset. In this paper, we consider each individual model as a medical doctor. We then propose a doctor consultation-inspired method that fuses multiple models. In particular, we consider both early and late fusion mechanisms for consultation. The early fusion mechanism combines the deep learned features from multiple models, whereas the late fusion method combines the confidence scores of all individual models. Experiments on two X-ray imaging datasets demonstrate the superiority of the proposed method relative to baseline. The experimental results also show that early consultation consistently outperforms the late consultation mechanism in both benchmark datasets. In particular, the early doctor consultation-inspired model outperforms all individual models by a large margin, i.e., 3.03 and 1.86 in terms of accuracy in the UIT COVID-19 and chest X-ray datasets, respectively.
Trap Parameters for the Fast OSL Signal Component Obtained through Analytical Separation for Various Quartz Samples
Authors: Biernacka Magdalena , Timar-Gabor Alida , Kabacińska Zuzanna , Palczewski Piotr , Chruścińska Alicja
Published: December 2022

Trap stability is essential in luminescence dating and thermochronometry. Trap depth and frequency factors determining the stability of the fast component of optically stimulated luminescence (OSL) in quartz, which is the most important in dating, have yet to be uniquely determined, especially for samples with an OSL signal not dominated by this component. One can determine them in OSL thermal depletion curve (OTDC) experiments. The separation of the fast OSL signal undisturbed by other OSL components is vital for obtaining accurate parameters for the traps of interest. This work presents a method of simultaneous thermal and optical stimulation using red light (620 nm) to separate the fast OSL component (the thermally modulated OSL method—TM-OSL). The OTDC experiment with the TM-OSL stimulation was used for the trap parameter determination on a variety of quartz samples, leading us to report for the first time, the trap parameters for the fast OSL component analytically separated in quartz from rock samples. The results obtained for these samples with the fast component of low intensity are consistent with those with an intensive fast OSL component. Results of OTDC measurements for all investigated quartz samples were tested for a wide range of irradiation doses.
In Vitro Transcriptome Analysis of Cobalt Boride Nanoparticles on Human Pulmonary Alveolar Cells
Authors: Arslan Mehmet Enes , Tatar Arzu , Yıldırım Özge Çağlar , Şahin İrfan Oğuz , Ozdemir Ozlem , Sonmez Erdal , Hacımuftuoglu Ahmet , Acikyildiz Metin , Geyikoğlu Fatime , Mardinoğlu Adil , Türkez Hasan
Published: December 2022

Nanobiotechnology influences many different areas, including the medical, food, energy, clothing, and cosmetics industries. Considering the wide usage of nanomaterials, it is necessary to investigate the toxicity potentials of specific nanosized molecules. Boron-containing nanoparticles (NPs) are attracting much interest from scientists due to their unique physicochemical properties. However, there is limited information concerning the toxicity of boron-containing NPs, including cobalt boride (Co2B) NPs. Therefore, in this study, Co2B NPs were characterized using X-ray crystallography (XRD), transmission electron microscope (TEM), scanning electron microscope (SEM), and energy-dispersive X-ray spectroscopy (EDX) techniques. Then, we performed 3-(4,5-dimethyl-thiazol-2-yl) 2,5-diphenyltetrazolium bromide (MTT), lactate dehydrogenase (LDH) release, and neutral red (NR) assays for assessing cell viability against Co2B NP exposure on cultured human pulmonary alveolar epithelial cells (HPAEpiC). In addition, whole-genome microarray analysis was carried out to reveal the global gene expression differentiation of HPAEpiC cells after Co2B NP application. The cell viability tests unveiled an IC50 value for Co2B NPs of 310.353 mg/L. The results of our microarray analysis displayed 719 gene expression differentiations (FC ≥ 2) among the analyzed 40,000 genes. The performed visualization and integrated discovery (DAVID) analysis revealed that there were interactions between various gene pathways and administration of the NPs. Based on gene ontology biological processes analysis, we found that the P53 signaling pathway, cell cycle, and cancer-affecting genes were mostly affected by the Co2B NPs. In conclusion, we suggested that Co2B NPs would be a safe and effective nanomolecule for industrial applications, particularly for medical purposes.
Osteoblast Response of Additively Manufactured Zirconia and Alumina-Toughened Zirconia
Authors: Nakai Hiroto , Inokoshi Masanao , Nozaki Kosuke , Yoshihara Kumiko , Matsukawa Akihiro , Nagaoka Noriyuki , Tonprasong Watcharapong , Minakuchi Shunsuke
Published: December 2022

Zirconia ceramics have been widely used in dentistry. Herein, we assess the surface morphology, surface texture, and osteoblast response of additively manufactured zirconia and alumina-toughened zirconia (ATZ) in comparison with titanium. The surface roughness, contact angle, and surface microstructure of titanium sandblasted with large-grit alumina and subsequently acid-etched using 18% HCl and 49% H2SO4 (SLA-titanium), uniaxially pressed zirconia (UP zirconia), additively manufactured zirconia (AM zirconia), and additively manufactured ATZ (AM ATZ) were investigated. Moreover, the cell viability, alkaline phosphatase (ALP) activity, and gene expression of type I collagen on these materials were evaluated. The data were statistically analyzed using one-way ANOVA with Tukey’s post hoc test. SLA-titanium showed the highest surface roughness and contact angle. The other three materials showed comparable surface roughness and contact angles. Micro- and nanoroughness were observed on the surface of SLA-titanium. UP zirconia and AM zirconia had similar surface morphologies. The cell viability, ALP activity, and gene expression of type I collagen on AM zirconia were comparable to or better than those on SLA-titanium. Our results indicate that AM zirconia is a promising material for zirconia dental implants.
Development of Natural Plant Extracts as Sustainable Inhibitors for Efficient Protection of Mild Steel: Experimental and First-Principles Multi-Level Computational Methods
Authors: Al-Moubaraki Aisha H. , Chaouiki Abdelkarim , Alahmari Jamilah M. , Al-hammadi Wesam A. , Noor Ehteram A. , Al-Ghamdi Azza A. , Ko Young Gun
Published: December 2022

In the present work, we present the superior corrosion inhibition properties of three plant-based products, Fraxinus excelsior (FEAE), Zingiber zerumbet (ZZAE), and Isatis tinctoria (ITAE), that efficiently inhibit the corrosion of mild steel in phosphoric acid. The anti-corrosion and adsorption characteristics were assessed using a combination of experimental and computational approaches. Weight loss, potentiodynamic polarization, and electrochemical impedance spectroscopy methods were used to evaluate the inhibitive performance of the inhibitors on the metal surface. Then, both DFT/DFTB calculations and molecular dynamic simulations were further adopted to investigate the interaction between organic inhibitor molecules and the metal surface. The protective layers assembled using the active constituents, such as carbonyl and hydroxyl groups, of the three plant-based products offer high electrochemical stability at high temperatures and robust protection against aggressive acidic solutions. All electrochemical measurements showed that the inhibition performance of extracts increased by increasing their concentration and improved in the following order: FEAE > ZZAE > ITAE. Further, these extracts worked as mixed-type inhibitors to block the anodic and cathodic active sites on the mild steel surface. Multi-level computational approaches revealed that FEAE is the most adsorbed inhibitor owing to its ability to provide electron lone pairs for electrophilic reactions. The experimental and theoretical results showed good agreement. These results indicate the possibility of replacing conventional compounds with natural substituted organic products in the fabrication of hybrid materials with effective anti-corrosion performance.
Impact of Depression on Cognitive Function and Disease Severity in Idiopathic Cervical Dystonia Patients: One-Center Data in Cross-Sectional Study
Authors: Meļņikova Vlada , Valante Ramona , Valtiņa-Briģe Solveiga , Logina Ināra
Published: December 2022

Background: Cervical dystonia is a highly disabling hyperkinetic movement disorder with a lot of nonmotor symptoms. One symptom with a high prevalence is depression, which may negatively affect dystonia patients. The aim of the study was to investigate the impact of depression on disease severity and cognitive functions in cervical dystonia patients. Methods: Patients with cervical dystonia were interviewed and divided into two groups, based on the Patient Health Questionnaire-9: those with no depression or mild depressive features and those with moderate, moderately severe, and severe depression. The severity of dystonia and cognitive functions were assessed and compared in both groups. Results: A total of 52 patients were investigated. Self-assessment of the disease was more negative in clinically significant depressive signs group (p = 0.004), with a tendency for patients with clinically significant depressive features to have a slightly higher score on objective dystonia scales (TSUI and TWSTRS), but without statistically significant differences (p = 0.387 and p = 0.244, respectively). Although not statistically significant, a slightly higher MoCA scale score was registered in cervical dystonia patients with clinically insignificant depressive signs. There was a tendency for worse results in the abstraction category in patients with clinically significant depression (p = 0.056). Conclusions: Patients with clinically significant depression have a more negative self-assessment of the disease and perform worse in abstraction tasks.