bluuebunny/crossref_metadata_2025 huggingface dataset:
Does algae β-glucan affect the fecal bacteriome in dairy calves?
Authors: Virginio Junior Gercino Ferreira , Reis Maria Eduarda , da Silva Ana Paula , de Toledo Ariany Faria , Cezar Amanda Moelemberg , Mendes Lucas William , Greco Leandro , Montenegro Horácio , Coutinho Luiz Lehmann , Bittar Carla Maris Machado
Published: September 2021

β-glucans has been reported to be associated with many health-promoting and improvements in animal performance, however, information about their effects on the bacterial community remains unknown. This study aimed to investigate how the addition of β-glucans can affect the fecal bacterial community with possible consequences on animal growth and health. For this, newborn Holstein calves (n = 14) were individually housed in tropical shelters and blocked according to sex, date, and weight at birth and randomly assigned to one of the following treatments: (1) Control: milk replacer (14% solids, 24% CP, 18.5% fat); (2) β-glucans: milk replacer supplemented with β-glucans (2 g/d). All calves were bucket fed 6 L/d of milk replacer and received water and starter concentrate ad libitum starting on d 2. To evaluate the bacteriome, fecal samples were collected at weeks 1, 2, 4, and 8. The bacterial community was assessed through sequencing of the V3-V4 region of the 16S rRNA gene on the Illumina MiSeq platform and analyzed using the DADA2 pipeline. No differences for Shannon and Chao1 indexes were observed for treatments, but both indexes increased with age (P < 0.001). There were dissimilarities in the structure of the bacterial community during the pre-weaning period (P = 0.01). In a deeper taxonomic level, Collinsella (Actinobacteriota), Prevotella (Bacteroidota), and Lactobacillus (Firmicutes) were the most abundant genera (9.84, 9.54, and 8.82% of the sequences, respectively). β-glucans promoted a higher abundance of Alloprevotella and Holdemanella, which may indicate a beneficial effect of supplementation on dairy calves. The bacterial community was highly correlated with the fecal score at weeks 1 and 2 and with starter concentrate intake at week 8. In conclusion, algae β-glucan supplementation could be beneficial to fecal bacteriome and consequently to the health and performance of dairy calves.
Green Synthesis of Barbituric Acid Derivative via Goldsmith Effluent Initiated Gold
Nanoparticles and its Molecular Docking Study against Alzheimer Drug Target
Authors: Thakare S.V. , Borhade A.V. , Patil T.D.
Published: September 2021

A convenient and efficient synthesis of 1,3-dimethyl-5-benzylidenebarbituric acid derivatives via gold
nanoparticles is carried out. The gold nanoparticles were initiated from novel and low-cost goldsmith
effluent source using green reducing agent D-glucose. By mediating autoclave at 121 ºC and 15 lb/cm2
pressure, these particles were further uniformly synthesized by using microwave radiation. The catalyst
was analyzed using UV, IR and scanning electron microscopic techniques. Synthesized 1,3-dimethyl-
5-benzylidene-barbituric acid was assayed to study its inhibitory action against TAU protein.
Be Prepared: Preoperative Coronal Malalignment Often Leads to More Extensive Surgery Than Sagittal Malalignment During Adult Spinal Deformity Surgery
Authors: Zuckerman Scott L. , Lai Christopher S. , Shen Yong , Kerolus Mena G. , Ha Alex S. , Buchanan Ian A. , Lee Nathan J. , Leung Eric , Cerpa Meghan , Lehman Ronald A. , Lenke Lawrence G.
Published: September 2021

Objective: To evaluate the effect of coronal alignment on: (1) surgical invasiveness and operative complexity and (2) postoperative complications.Methods: A retrospective, cohort study of adult spinal deformity patients was conducted. Alignment groups were: (1) neutral alignment (NA): coronal vertical axis (CVA) ≤ 3 cm and sagittal vertical axis (SVA) ≤ 5 cm; (2) coronal malalignment (CM) only: CVA > 3 cm; (3) Sagittal malalignment (SM) only: SVA > 5 cm; and (4) coronal and sagittal malalignment (CCSM): CVA > 3 cm and SVA > 5 cm.Results: Of 243 patients, alignment groups were: NA 115 (47.3%), CM 48 (19.8%), SM 38 (15.6%), and CCSM 42 (17.3%). Total instrumented levels (TILs) were highest in CM (14.5 ± 3.7) and CCSM groups (14 ± 4.0) (p < 0.001). More 3-column osteotomies (3COs) were performed in SM (21.1%) and CCSM (28.9%) groups than CM (10.4%) (p = 0.003). CM patients had more levels instrumented (p = 0.029), posterior column osteotomies (PCOs) (p < 0.001), and TLIFs (p = 0.002) than SM patients. CCSM patients had more TLIFs (p = 0.012) and higher estimated blood loss (EBL) (p = 0.003) than SM patients. CVA displayed a stronger relationship with TIL (p = 0.002), EBL (p < 0.001), and operative time (p < 0.001) than SVA, which had only one significant association with EBL (p = 0.010). Both SM/CCSM patients had higher readmissions (p = 0.003) and reoperations (p < 0.001) than CM patients.Conclusion: Amount of preoperative CM was a better predictor of surgical invasiveness than the amount of SM, despite 3COs more commonly performed in SM patients. CM patients had more instrumented levels, PCOs, and TLIFs than SM patients.
Thoracolumbar Slope Is Useful Parameter for Evaluating HealthRelated Quality of Life and Sagittal Imbalance Aggravation in Adult Spinal Deformity: A Prospective Observational Cohort Study
Authors: Moon Bong Ju , Han Moon-Soo , Kim Jae-Young , Lee Jung-Kil
Published: September 2021

Objective: The purpose of the present study was to evaluate the natural course of primary degenerative sagittal imbalance (PDSI), its aggravating factors, and health-related quality of life (HRQoL) associated with various spinal alignment parameters (SAPs) in patients with PDSI who have not undergone surgery.Methods: One hundred three participants volunteered to participate. The SAPs, including T1 pelvic angle (T1PA), thoracolumbar tilt, and thoracolumbar slope (TLS), were measured on whole-spine standing radiographs. The back and lumbar muscle volumes were measured. To determine HRQoL at baseline and at 2-year follow-up, face-to-face questionnaires were administered, which included visual analogue scale of the back and leg, physical component summary/mental component summary of 36-item Short Form Health Survey, Oswestry Disability Index (ODI), and Mini-Mental State Examination.Results: Overall HRQoL measures had improved after 2 years of follow-up compared to baseline. PDSI aggravation was observed in 18 participants (26.1%). TLS, sagittal vertical axis (SVA), and T1PA were strongly correlated with each other. TLS, SVA, and T1PA were correlated with ODI score. Among them, TLS was most highly correlated with ODI score. TLS greater than -3.5° was a predicting factor for PDSI aggravation (p = 0.034; 95% confidence interval, 1.173–63.61; odds ratio, 8.636).Conclusion: The present study implied that PDSI does not necessarily worsen with aging. TLS is an appropriate parameter for assessing the clinical situation in patients with PDSI. Furthermore, a TLS greater than -3.5° predicts PDSI aggravation; thus, TLS may be a useful parameter for predicting prognosis in PDSI.
Analysis of Genial Tubercle Anatomy Using Cone Beam Computed Tomography – A Retrospective Study from Chennai, India
Authors: Jawahar Abarna , Gopal Maragathavalli
Published: September 2021

BACKGROUND Analysis of genial tubercle anatomy using three-dimensional (3D) imaging can be valuable in preparation for genioglossus advancement in the treatment of obstructive sleep apnoea, estimation of the safe zone prior to implant surgery and evaluation of mandibular asymmetry. Hence the intention of the study was to analyse the morphological pattern, dimensions of genial tubercles and their position in the mandible using cone beam computed tomography (CBCT). METHODS A retrospective study was conducted on 100 patients scanned using Sirona Orthophos XG device in the Radiology department, Saveetha dental college and hospital. The genial tubercles were identified, morphological pattern of the genial tubercles was classified into four patterns and linear measurements of the genial tubercle height, width, position of genial tubercles on the mandible in the images were done. The collected data was tabulated and analysed using SPSS software. A paired t - test was used for intra examiner calibration and a chi-square test was used for comparison between genial tubercle patterns in both the sex. RESULTS On analysing the genial tubercle patterns, type I (44) was the most commonly seen followed by type II (24). Genial tubercles were not evident (type IV) in 20 patients. Type III (12) was least commonly seen among the pattern types. CONCLUSIONS The anatomy of genial tubercles is highly variable. The mean height of genial tubercles (GTH) measured was 5.36 mm and mean width of genial tubercles (GTW) measured was 5.24 mm. KEY WORDS Genial Tubercles, Anatomy, Cone Beam Computed Tomography, Mandible
Knowledge, Practice and Attitude of Dentists towards Cone Beam Computed Tomography
Authors: Badr Fatma Fayez , Barayan Mohammed Abdulaziz , Jadu Fatima Mohammed , Khalifa Hanadi Mohammed
Published: September 2021

BACKGROUND Cone beam computed tomography (CBCT) was first introduced in 2008 and has since seen a tremendous growth in both private dental clinics and dental institutions. This has led to the normalization of CBCT use by general dentists. Therefore, it is essential to assess how and why general and specialist dentists use CBCT. The purpose of this study was to assess the knowledge, practice and attitude towards CBCT among general and specialist dentists working in the kingdom of Saudi Arabia. METHODS In this cross-sectional study, a questionnaire was electronically distributed via email and social media from October 2018 to September 2020. The self-administered questionnaire was divided into five segments: demographics, knowledge, current practice, training and attitude. RESULTS A total of 221 dentists filled the questionnaire including 85 general dentists and 135 post graduate students or specialists. The majority of dentists (81.9 %) demonstrated poor knowledge. Orthodontists and endodontists were most aware of CBCT terms. Most dentists (71.5 %) have a CBCT unit in their practice. Only 34.8 % received CBCT training, the majority of which was theoretical. A positive attitude was noted in 83.2 % of dentists by agreeing to a statement regarding CBCT justification. CONCLUSIONS Poor CBCT knowledge was evident in majority of dentists despite having CBCT in their practice. Dentists are highly aware of the importance of CBCT justification and professional interpretation; however, they lack basic knowledge and training related to this imaging modality. This highlights an institutional gap that policy makers should address in order to ensure the highest quality of patient care. KEY WORDS Cone Beam Computed Tomography; CBCT; Survey
Demystifying Esophageal Lichen Planus: A Comprehensive Review of a Rare Disease You Will See in Practice
Authors: Jacobs John W. , Kukreja Keshav , Camisa Charles , Richter Joel E.
Published: September 2021

Lichen planus (LP) is a chronic inflammatory disorder that often affects the skin, hair, nails, and mucus membranes. Although esophageal involvement has traditionally been felt to be rare, recent reports suggest that it is often unrecognized or misdiagnosed. The diagnoses of esophageal lichen planus can be challenging and is suspected based on patients' endoscopic and histologic findings and in the context of their clinical history and physical examination. Physicians must have an index of suspicion, particularly in older white women and in those patients with an atypical esophagitis or stricturing disease, which do not respond to traditional treatment. Currently, there are limited data on esophageal lichen planus patients, and no formal management guidelines for this disease, which all gastroenterologists will see in practice. This article reviews the etiology and histopathology of LP and provides a comprehensive discussion of the clinical features, diagnosis, and management of esophageal disease from the gastroenterologist's perspective. Finally, we address the esophageal complications of LP.
Pengukuran Aktivitas Pemasaran pada Media Sosial Instagram
Authors: Gunawan Arie Indra , Amalia Fatya , Senalasari Widi , Gaffar Vanessa
Published: September 2021

This study aims to measure and validate the variable constructs of marketing activity in Instagram social media. The results of this study will be very meaningful for the study and implementation of measurement of marketing activity in Instagram social media because currently Instagram is a social media that has a large customer base and has activity business therein. This study uses a questionnaire as a means of collecting data that is sent online. The population in this study were social media users who had done online transactions on Instagram social media as many as 352 respondents’ data were collected which were then performed statistical calculations. Confirmatory Factor analysis (CFA) and Exploratory Factor Analysis (EFA) were conducted to measure marketing activities on Instagram social media. The results recommend that the variable marketing activity on Instagram social media can be measured through 6 dimensions consisting of 20 indicator items. These dimensions are visual communication, relationship interaction, delivery of information, recommendations, personalization, and modern elements. All these dimensions and indicators are in construct and consistency declared valid for measuring Instagram social media marketing activities.Penelitian ini bertujuan untuk mengukur dan memvalidasi konstruk variabel aktivitas pemasaran dalam media sosial instagram. Hasil penelitian ini akan sangat berarti untuk kajian dan implementasi pengukuran aktivitas pemasaran dalam media sosial instagram karena saat ini instagram merupakan media sosial yang memiliki basis pelanggan yang banyak dan terdapat aktivitas bisnis di dalamnya. Penelitian ini menggunakan kuesioner sebagai alat pengumpul data yang dikirimkan secara online. Populasi pada penelitian ini adalah pengguna media sosial yang pernah melakukan transaksi online di media sosial Instagram sebanyak 352 data responden berhasil terkumpul yang kemudian dilakukan penghitungan statistik. Confirmatory Factor Analysis (CFA) dan Exploratory Factor Analysis (EFA) dilakukan untuk mengukur aktivitas pemasaran dalam media sosial instagram. Hasil penelitian merekomendasikan bahwa variable aktivitas pemasaran pada media sosial instagram dapat diukur melalui 6 dimensi yang terdiri dari 20 item indikator. Dimensi tersebut adalah komunikasi visual, interaksi relasi, penyampaian informasi, rekomendasi, personalisasi, dan unsur modern. Kesemua dimensi dan indikator tersebut secara konstruk dan konsistensi dinyatakan valid untuk mengukur aktivitas pemasaran media sosial instagram.
CAD-to-real: enabling deep neural networks for 3D pose estimation of electronic control units
Authors: Bäuerle Simon , Böhland Moritz , Barth Jonas , Reischl Markus , Steimer Andreas , Mikut Ralf
Published: September 2021

Image processing techniques are widely used within automotive series production, including production of electronic control units (ECUs). Deep learning approaches have made rapid advances during the last years, but are not prominent in those industrial settings yet. One major obstacle is the lack of suitable training data. We adapt the recently developed method of domain randomization to our use case of 3D pose estimation of ECU housings. We create purely synthetic data with high visual diversity to train artificial neural networks (ANNs). This enables ANNs to estimate the 3D pose of a real sample part with high accuracy from a single low-resolution RGB image in a production-like setting. Requirements regarding measurement hardware are very low. Our entire setup is fully automated and can be transferred to related industrial use cases.
Antiplasmodial potential of Eucalyptus obliqua leaf methanolic extract against Plasmodium vivax: An in vitro study
Authors: Zareen Shehzad , Khan Shahid Niaz , Adnan Muhammad , Haleem Sumbal , Ali Rehman , Alnomasy Sultan F.
Published: September 2021

Malaria is an intraerythrocytic parasitic disease caused by the genus Plasmodium of which Plasmodium vivax and Plasmodium falciparum are the major species. The high cost and associated side effects of antimalarial drugs triggered research about medicinal plants to develop alternative and low-cost drugs with lesser side effects. Therefore, this study was designed to investigate the antiplasmodial activity of the Eucalyptus obliqua L’Hér. leaf extract against P. vivax and its phytochemicals in in vitro. The methanolic extract of E. obliqua was prepared and different concentrations of the crude extract and phytochemicals were used against P. vivax. The methanolic extract of E. obliqua showed profound antiplasmodial activity (LD50 0.084 mg/mL; 80.04%) at 0.1 mg/mL concentration after 24 h. Alkaloids, flavonoids, saponins, and tannins were found in the E. obliqua methanolic extract. Only alkaloids at the concentration (0.1 mg/mL) exhibited 60.93% inhibition of P. vivax. The methanolic extract of E. obliqua exhibits antiplasmodial activity in vitro. However, in vivo efficacy is an important aspect in the testing of medicinal plants against parasitic infections and should be evaluated in future.
A Bayesian semiparametric accelerate failure time mixture cure model
Authors: Wang Yijun , Wang Weiwei , Tang Yincai
Published: September 2021

The accelerated failure time mixture cure (AFTMC) model is widely used for survival data when a portion of patients can be cured. In this paper, a Bayesian semiparametric method is proposed to obtain the estimation of parameters and density distribution for both the cure probability and the survival distribution of the uncured patients in the AFTMC model. Specifically, the baseline error distribution of the uncured patients is nonparametrically modeled by a mixture of Dirichlet process. Based on the stick-breaking formulation of the Dirichlet process, the techniques of retrospective and slice sampling, an efficient and easy-to-implement Gibbs sampler is developed for the posterior calculation. The proposed approach can be easily implemented in commonly used statistical softwares, and its performance is comparable to fully parametric method via comprehensive simulation studies. Besides, the proposed approach is adopted to the analysis of a colorectal cancer clinical trial data.
Functional verification of cyber-physical systems containing machine-learnt components
Authors: Moradkhani Farzaneh , Fränzle Martin
Published: September 2021

Functional architectures of cyber-physical systems increasingly comprise components that are generated by training and machine learning rather than by more traditional engineering approaches, as necessary in safety-critical application domains, poses various unsolved challenges. Commonly used computational structures underlying machine learning, like deep neural networks, still lack scalable automatic verification support. Due to size, non-linearity, and non-convexity, neural network verification is a challenge to state-of-art Mixed Integer linear programming (MILP) solvers and satisfiability modulo theories (SMT) solvers [2], [3]. In this research, we focus on artificial neural network with activation functions beyond the Rectified Linear Unit (ReLU). We are thus leaving the area of piecewise linear function supported by the majority of SMT solvers and specialized solvers for Artificial Neural Networks (ANNs), the successful like Reluplex solver [1]. A major part of this research is using the SMT solver iSAT [4] which aims at solving complex Boolean combinations of linear and non-linear constraint formulas (including transcendental functions), and therefore is suitable to verify the safety properties of a specific kind of neural network known as Multi-Layer Perceptron (MLP) which contain non-linear activation functions.
Development and assessment of a low-health-literacy, pictographic adrenal insufficiency action plan
Authors: Reeves Patrick T. , Packett Ashley C. , Burklow Carolyn Sullivan , Echelmeyer Sofia , Larson Noelle S.
Published: September 2021

Objectives

Adrenal insufficiency (AI) is an overall rare disorder characterized by the chronic need for pharmacotherapy to prevent threat to life. The Pediatric Endocrine Society has recommended the use of clinical action tools to improve patient education and help guide acute management of AI. We aimed to develop and assess an easy-to-use, patient-friendly, evidence-based, personalized pictogram-based adrenal insufficiency action plan (AIAP) to aid in the management of AI in children.

Methods

Patients/caregivers (P/Cs) responded to surveys which measured the concepts of transparency, translucency, and recall in order to assess the pictograms. Readability was assessed using six formulas to generate a composite readability score. Quality was graded by P/Cs using the Consumer Information Rating Form (CIRF) (>80% rating considered acceptable). Understandability and actionability was assessed by medical librarians using the Patient Education Materials Assessment Tool-Printable (PEMAT-P) (>80% rating was acceptable). Suitability was evaluated by clinicians using the Suitability Assessment of Materials (SAM) instrument (>70% rating considered superior).

Results

All pictograms met criteria for inclusion in the AIAP. Composite readability score=5.4 was consistent with a fifth-grade level. P/Cs (n=120) judged the AIAP to be of high quality with CIRF rating=85.2%. Three medical librarians rated the AIAP to have 100% understandability and 100% actionability. Thirty-three clinicians completing the SAM generated a suitability rating of 90.0%.

Conclusions

The AIAP visually highlights individualized care plan components to facilitate optimized preventative and acute AI care. Further investigation will determine if AIAP improves clinical outcomes for patients with AI.
Growing theory for practice: empirical multimodality beyond the case study
Authors: Bateman John A.
Published: September 2021

Many studies investigating the use and effectiveness of multimodal communication are now confronting the need to engage with larger bodies of data in order to achieve more empirically robust accounts, moving beyond the earlier prevalence of small-scale ‘case studies’. In this article, I briefly characterise how recent developments in the theory of multimodality can be drawn upon to encourage and support this change in both scale and breadth. In particular, the contribution will show how refinements in the degree of formality of definitions of the core multimodal constructs of ‘semiotic mode’ and ‘materiality’ can help bridge the gap between exploratory investigations of complex multimodal practices and larger-scale corpus studies.
High-performance flexible surface-enhanced Raman scattering substrate based on the particle-in-multiscale 3D structure
Authors: Zhou Yaning , Yao Haizi , Liu Chundong , Chen Mengyu , Zhang Chao , Liu Mei , Wang Jian , Fujun Zhang  , Yu Jing , Man Baoyuan , Sun Qianqian
Published: September 2021

Recently, multiscale three-dimensional (3D) structures consisting of micrometer-scale structure and nanometer-scale structure have received some attention from scientists in the field of surface-enhanced Raman scattering (SERS). In this work, micrometer-scale grating structure and nanometer-scale zinc oxide nano spikes (ZnO NSs) structure are successfully introduced into the SERS substrate with silver nanoparticles (Ag NPs) as the surface plasmon. The optimized particle-in-multiscale 3D substrate (PDMS/grating/ZnO NSs/Ag NPs) presents high sensitivity with an ultralow limit of detection of 1 × 10−11 M and a high enhancement factor of 7.0 × 108 for Rhodamine 6G (R6G) as the probe molecule. It benefits from the electromagnetic field enhancement from the excellent optical capture capability of grating/ZnO NSs structure and abundant electromagnetic hot spots. The quantitative analysis ability of the SERS substrate can be indicated from the good linear correlation between the logarithmic Raman intensity and the molecular concentration. At the same time, this SERS substrate exhibits excellent homogeneity and reproducibility, which have low relative standard deviations (4.43%) of the Raman intensities at 613 cm−1 peaks for R6G as the probe molecule. In addition, this SERS substrate can realize in-situ detection of Raman signal due to its excellent light transmission and flexibility. The particle-in-multiscale 3D structure as SERS substrate exhibits the vast potential in practical applicability for qualitatively and quantitatively chemical and biomedical analysis.
Femtosecond laser micromachining for integrated quantum photonics
Authors: Corrielli Giacomo , Crespi Andrea , Osellame Roberto
Published: September 2021

Integrated quantum photonics, i.e. the generation, manipulation, and detection of quantum states of light in integrated photonic chips, is revolutionizing the field of quantum information in all applications, from communications to computing. Although many different platforms are being currently developed, from silicon photonics to lithium niobate photonic circuits, none of them has shown the versatility of femtosecond laser micromachining (FLM) in producing all the components of a complete quantum system, encompassing quantum sources, reconfigurable state manipulation, quantum memories, and detection. It is in fact evident that FLM has been a key enabling tool in the first-time demonstration of many quantum devices and functionalities. Although FLM cannot achieve the same level of miniaturization of other platforms, it still has many unique advantages for integrated quantum photonics. In particular, in the last five years, FLM has greatly expanded its range of quantum applications with several scientific breakthroughs achieved. For these reasons, we believe that a review article on this topic is very timely and could further promote the development of this field by convincing end-users of the great potentials of this technological platform and by stimulating more research groups in FLM to direct their efforts to the exciting field of quantum technologies.
On motivation and incoordination in grammar – The case of two Polish exclamative constructions
Authors: Bierwiaczonek Bogusław
Published: September 2021

The paper discusses two Polish exclamative constructions as instances of the Abstract Exclamative Construction (AEC) proposed by Michaelis and Lambrecht (1996). It is argued that while theCo-zaExclamative Construction is motivated straightforwardly by the identifyingCo-zaQuestion Construction as well as AEC, theAleExclamative Construction involves not only AEC but also a more complex process called “incoordination”, whereby a second coordinate clause with its coordinating conjunctionalebecomes an autonomous monoclausal construction. The process involves a change in the information structure and in illocutionary force, which becomes increasingly expressive. In addition, it is accompanied by a shift of the sentence stress from the focal element in the second coordinate clause to the initialAle.
Assessment of climate change exposure of tourism in Hungary using observations and regional climate model data
Authors:   Department of Climatology and Landscape Ecology, University of Szeged, Szeged, Hungary, Kovács Attila , Király Andrea ,   Modelling Unit, Hungarian Meteorological Service, Budapest, Hungary
Published: September 2021

Climate constitutes key resources for tourism since it influences the range of tourism activities and the development of tourism supply. Tourism is highly sensitive to changes in climate elements. It is extremely important for adaptation strategy-making to explore whether the tourism climate conditions in a given region and at a specific time are appropriate and how they may change in the future. This is described by the exposure of the tourism sector to climate conditions and climate change. In this study, we analyse the exposure of tourism for Hungary on a district level and every month (from March to November) with the help of the modified Tourism Climate Index. First, the present conditions are evaluated based on a gridded observational database CarpatClim-HU, which forms the basis for assessing the future conditions. Afterwards, the expected future circumstances are analysed using regional climate model outputs. In order to interpret the uncertainties of the climate projections properly, we use two different model results (HIRHAM5 and RACMO22E) relying on two emission scenarios (RCP4.5 and RCP8.5). The results have demonstrated that the most favourable conditions are found in spring (MAM) and autumn (SON), while in summer (JJA) a decline in climate potential is observed. According to the future tendencies, generally, a decline is expected between May and September, but the other investigated months usually bring an improvement. For a given emission scenario, the expected trend is quite similar for the two model experiments, while for a given climate model, the use of RCP8.5 scenario indicates larger changes than RCP4.5. The results prove that climate change will have an obvious impact on tourism potential in Hungary, and therefore tourism strategy development has to take into account this effect more than before.
Lake Balaton as an accessible tourism destination – the stakeholders' perspectives
Authors:   Faculty of Tourism Studies, University of Primorska, Portorož, Slovenia, Medarić Zorana ,   Science and Research Centre, Koper, Slovenia, Sulyok Judit ,   Balaton Tourism Research Centre, University of Pannonia, Veszprém, Hungary, Kardos Szilvia ,   University of Pannonia, Veszprém, Hungary, Gabruč Janja ,   Faculty of Tourism Studies, University of Primorska, Portorož, Slovenia
Published: September 2021

This paper discusses the situation in the emerging field of accessible tourism at the Lake Balaton destination. The main objective of the study was to explore the current situation of accessible tourism at Lake Balaton, focusing on the perspectives of tourism stakeholders. Various issues were reflected upon, such as: a) the “general” accessibility of the destination in terms of the current state of accessibility of the destination as well as the accessibility of information, transportation, accommodation, food and beverage services, tourist attractions, funds and know-how; b) factors that make the destination Lake Balaton competitive as an accessible destination; and c) general attitudes of tourism stakeholders towards accessible tourism. The research focus was on the destination itself, not on individual attractions or tourism service providers. In order to assess the current situation and future prospects for accessible tourism at Lake Balaton, an exploratory quantitative online survey among stakeholders was conducted between 5 September and 5 October 2020. A total of 39 stakeholders participated in the survey, including 11 local municipality stakeholders, 8 local destination management organisations, and 20 tourism service providers (accommodation, catering or attractions/sights). The results show that the Lake Balaton destination accessibility is currently at an early stage of development and tends to target groups with low accessibility needs. Among the factors of destination competitiveness for the accessible tourism market, supportive factors (e.g. accessibility, infrastructure, and the commitment of stakeholders) are ranked first, followed by resources and attractions (landscape, climate, activities, culture, history, tourism service providers, and events) and the quality factor (including value for money, safety, perception and image). Planning and management (including positioning and branding) is the lowest ranked factor even though such aspects are critical factors and foundations for the development of accessible tourism.
Uneven geographies in the various language editions of Wikipedia: the case of Ukrainian cities
Authors:   Taras Shevchenko National University of Kyiv, Department of Economic and Social Geography, Kyiv, Ukraine, Gnatiuk Oleksiy , Glybovets Victoria ,   Taras Shevchenko National University of Kyiv, Department of Economic and Social Geography, Kyiv, Ukraine
Published: September 2021

The paper tackles the issue of uneven geographical representations on Wikipedia, the most visible and powerful user-generated encyclopaedia. In particular, it addresses language imbalances on Wikipedia with regard to geographical information and uneven spatial patterns of territory coverage on the different language versions in an attempt to verify expectations about the cultural factors that influence these imbalances and uneven spatial patterns. Ukraine is a promising case for testing the formulated expectations, as it has a large number of neighbouring countries, and most of them had political and cultural influence on its territory in the past. The volumes (word counts) of articles about the Ukrainian cities were analysed for seven language versions of Wikipedia, including the Ukrainian version and the versions of all bordering countries. The results show that historical geography is the strongest and central factor, and most of the key relic borders (former boundaries) can be traced. Ethnic composition appears to be another important factor, although weaker than the previous one. The role of the border factor is often unclear, but in some cases it definitely makes an impact and therefore cannot be completely ignored. Thus, the geographies of Wikipedia are not indifferent to the issues of ethnicity and geopolitics. The research calls into question the ability of modern Wikipedia to be a reliable and balanced source of geographical knowledge, as the described imbalances may create lopsided and biased geographical representations in people from different countries and nations.
Altered Cerebellar Response to Somatosensory Stimuli in theCntnap2Mouse Model of Autism
Authors: Fernández Marta , Sánchez-León Carlos A. , Llorente Javier , Sierra-Arregui Teresa , Knafo Shira , Márquez-Ruiz Javier , Peñagarikano Olga
Published: September 2021

Atypical sensory processing is currently included within the diagnostic criteria of autism. The cerebellum is known to integrate sensory inputs of different modalities through its connectivity to the cerebral cortex. Interestingly, cerebellar malformations are among the most replicated features found in postmortem brain of individuals with autism. We studied sensory processing in the cerebellum in a mouse model of autism, knock-out (KO) for theCntnap2gene.Cntnap2is widely expressed in Purkinje cells (PCs) and has been recently reported to regulate their morphology. Further, individuals withCNTNAP2mutations display cerebellar malformations and CNTNAP2 antibodies are associated with a mild form of cerebellar ataxia. Previous studies in theCntnap2mouse model show an altered cerebellar sensory learning. However, a physiological analysis of cerebellar function has not been performed yet. We studied sensory evoked potentials in cerebellar Crus I/II region on electrical stimulation of the whisker pad in alert mice and found striking differences between wild-type andCntnap2KO mice. In addition, single-cell recordings identified alterations in both sensory-evoked and spontaneous firing patterns of PCs. These changes were accompanied by altered intrinsic properties and morphologic features of these neurons. Together, these results indicate that theCntnap2mouse model could provide novel insight into the pathophysiological mechanisms of autism core sensory deficits.
Frequency-Dependent Action of Neuromodulation
Authors: Schneider Anna C. , Fox David , Itani Omar , Golowasch Jorge , Bucher Dirk , Nadim Farzan
Published: September 2021

In oscillatory circuits, some actions of neuromodulators depend on the oscillation frequency. However, the mechanisms are poorly understood. We explored this problem by characterizing neuromodulation of the lateral pyloric (LP) neuron of the crab stomatogastric ganglion (STG). Many peptide modulators, including proctolin, activate the same ionic current (IMI) in STG neurons. BecauseIMIis fast and non-inactivating, its peak level does not depend on the temporal properties of neuronal activity. We found, however, that the amplitude and peak time of the proctolin-activated current in LP is frequency dependent. Because frequency affects the rate of voltage change, we measured these currents with voltage ramps of different slopes and found that proctolin activated two kinetically distinct ionic currents: the knownIMI, whose amplitude is independent of ramp slope or direction, and an inactivating current (IMI-T), which was only activated by positive ramps and whose amplitude increased with increasing ramp slope. Using a conductance-based model we found thatIMIandIMI-Tmake distinct contributions to the bursting activity, withIMIincreasing the excitability, andIMI-Tregulating the burst onset by modifying the postinhibitory rebound in a frequency-dependent manner. The voltage dependence and partial calcium permeability ofIMI-Tis similar to other characterized neuromodulator-activated currents in this system, suggesting that these are isoforms of the same channel. Our computational model suggests that calcium permeability may allow this current to also activate the large calcium-dependent potassium current in LP, providing an additional mechanism to regulate burst termination. These results demonstrate a mechanism for frequency-dependent actions of neuromodulators.
Alpha Oscillations Shape Sensory Representation and Perceptual Sensitivity
Authors: Zhou Ying Joey , Iemi Luca , Schoffelen Jan-Mathijs , de Lange Floris P. , Haegens Saskia
Published: September 2021

Alpha activity (8–14 Hz) is the dominant rhythm in the awake brain and is thought to play an important role in setting the internal state of the brain. Previous work has associated states of decreased alpha power with enhanced neural excitability. However, evidence is mixed on whether and how such excitability enhancement modulates sensory signals of interest versus noise differently, and what, if any, are the consequences for subsequent perception. Here, human subjects (male and female) performed a visual detection task in which we manipulated their decision criteria in a blockwise manner. Although our manipulation led to substantial criterion shifts, these shifts were not reflected in prestimulus alpha band changes. Rather, lower prestimulus alpha power in occipital-parietal areas improved perceptual sensitivity and enhanced information content decodable from neural activity patterns. Additionally, oscillatory alpha phase immediately before stimulus presentation modulated accuracy. Together, our results suggest that alpha band dynamics modulate sensory signals of interest more strongly than noise.

SIGNIFICANCE STATEMENTThe internal state of our brain fluctuates, giving rise to variability in perception and action. Neural oscillations, most prominently in the alpha band, have been suggested to play a role in setting this internal state. Here, we show that ongoing alpha band activity in occipital-parietal regions predicts the quality of visual information decodable in neural activity patterns and subsequently the human observer's sensitivity in a visual detection task. Our results provide comprehensive evidence that visual representation is modulated by ongoing alpha band activity and advance our understanding on how, when faced with unchanging external stimuli, internal neural fluctuations influence perception and behavior.
Chemical mutagenesis of Saccharomyces cerevisiae for enhancing bioethanol production with fermentation at very high sugar concentration
Authors: Elhussieny Nadeem I. , Bakri Marwah M. , Ganash Magdah , Abdel Ghany Tarek M.
Published: September 2021

Saccharomyces cerevisiae is one of the most promising unicellular fungi on account of its vital applications in biotechnology as well as bioethanol production. Improvement of ethanol production via very high-gravity (VHG) fermentation (fermentation at high sugar levels) was successfully developed using the ethidium bromide (EtB) mutagenesis of S. cerevisiae. This study found two developed mutants of S. cerevisiae (EtB20a and EtB20b) with varied capacity for ethanol production using EtB, depending on random amplified polymorphic DNA analysis. Mutant EtB20b showed improved ethanol yield (19.5%) compared with the wild-type (18.0%), while the other mutant EtB20a exhibited retarded ethanol production (9.1%). Optimization of ethanol production by mutant EtB20b was performed under other conditions including temperature, pH, inoculum size, and incubation period. The highest production capacity of the yeasts was 20.8, 19.9, 19.5, and 19.5% at an optimum temperature of 30 °C, pH 6.0, incubation period of 72 h, and 1 mL of yeast suspension (optical density at 600 nm) with glucose utilization of 42.6, 40.7, 39.8, and 39.9%, respectively.
Analisis del bandgap de vidrios teluritos dopados con Yb3+, Er3+ y Tm3+
Authors: Chacaliaza Ricaldi José Yitzhak Aarón , Marega Jr. Euclydes , Garcia Rivera Victor Anthony
Published: September 2021

Los vidrios teluritos poseen diversas aplicaciones potenciales en áreas de optoelectrónica y fotónica, tales como la tecnología láser y la fibra óptica, amplificadores ópticos, sensores y conversores de luz. Dichos materiales son excelentes candidatos para dichas aplicaciones tecnológicas debido a su gran solubilidad para los iones de tierras raras. En el presente trabajo se investigó la relación entre la concentración de las tierras raras en los vidrios teluritos y su relación con el bandgap óptico y las propiedades estructurales del material.
Exertional heat stroke with reversible severe cerebral edema
Authors: Lee Sangkil , Lee Sung-Hyun
Published: September 2021

Severe cerebral edema associated with exertional heat stroke is a major cause of death or disability. However, few studies on severe cerebral edema resulting from heat stroke have reported neuroradiological findings. Moreover, all the patients in these previous reports either died or remained severely disabled. Here, we report a case of exertional heat stroke with severe cerebral edema that probably developed or worsened due to delayed body temperature normalization. In contrast to previous reports, the patient showed complete clinical and neuroradiological recovery. This rare case suggests that severe cerebral edema could be reversed through meticulous supportive management. Moreover, it confirms the importance of rapid and effective cooling in heat stroke treatment.
Artificial neural network approach for acute poisoning mortality prediction in emergency departments
Authors: Park Seon Yeong , Kim Kisung , Woo Seon Hee , Park Jung Taek , Jeong Sikyoung , Kim Jinwoo , Hong Sungyoup
Published: September 2021

Objective The number of deaths due to acute poisoning (AP) is on the increase. It is crucial to predict AP patient mortality to identify those requiring intensive care for providing appropriate patient care as well as preserving medical resources. The aim of this study is to predict the risk of in-hospital mortality associated with AP using an artificial neural network (ANN) model.Methods In this multicenter retrospective study, ANN and logistic regression models were constructed using the clinical and laboratory data of 1,304 patients seeking emergency treatment for AP. The ANN model was first trained on 912/1,304 (70%) randomly selected patients and then tested on the remaining 392/1,304 (30%). Receiver operating characteristic curve analysis was used to evaluate the mortality prediction of the two models.Results Age, endotracheal intubation status, and intensive care unit admission were significant predictors of mortality in patients with AP in the multivariate logistic regression model. The ANN model indicated age, Glasgow Coma Scale, intensive care unit admission, and endotracheal intubation status were critical factors among the 12 independent variables related to in-hospital mortality. The area under the receiver operating characteristic curve for mortality prediction was significantly higher in the ANN model compared to the logistic regression model.Conclusion This study establishes that the ANN model could be a valuable tool for predicting the risk of death following AP. Thus, it may facilitate effective patient triage and improve the outcomes.
External validation and comparison of the Pediatric Emergency Care Applied Research Network and Canadian Assessment of Tomography for Childhood Head Injury 2 clinical decision rules in children with minor blunt head trauma
Authors: Kwon Bo Sung , Song Hyung Jun , Lee Jun Hee
Published: September 2021

Objective Among the pediatric population with minor head trauma, it is difficult to determine an indication for the usage of brain computerized tomography (CT). Our study aims to compare the efficiency of the most commonly used clinical decision rules: the Pediatric Emergency Care Applied Research Network (PECARN) and Canadian Assessment of Tomography for Childhood Head Injury 2 (CATCH2).Methods This retrospective study investigated whether the PECARN and CATCH2 rules were applicable to Korean children with minor head trauma for reducing the use of brain CT imaging, while detecting intracranial pathology.Results Overall, 251 patients (0–5 years old) admitted to emergency rooms within 24 hours of injury were included between August 2015 to August 2018. The performance results are as follows: the PECARN and CATCH2 rules had a sensitivity of 80.00% (51.91%–95.67%) and 100% (78.20%–100.00%) with a specificity of 28.39% (22.73%–34.60%) and 15.25% (10.92%–20.49%), respectively; the negative predictive values were 98.58% and 100%, respectively. Overall, the CATCH2 rule was more successful than the PECARN rule in detecting intracranial pathology; however, there was no significant difference between them. Furthermore, the PECARN and CATCH2 rules lowered the rate of head CT imaging in our study group.Conclusion Both the rules significantly lowered the rate of indicated brain CT. However, since the CATCH2 rule had higher sensitivity and negative predictive value than the PECARN rule, it is more appropriate to be used in emergency rooms for detecting intracranial pathology in children with minor head trauma.
Secondary hypoxic ischemia alters neurobehavioral outcomes, neuroinflammation, and oxidative stress in mice exposed to controlled cortical impact
Authors: Oh Se-Kwang , Park Hyun-Jeong , Yu Gyeong-Gyu , Jeong Seong-Hae , Lee Suk-Woo , Kim Hoon
Published: September 2021

Objective Hypoxic ischemia (HI) is a secondary insult that can cause fatal neurologic outcomes after traumatic brain injury (TBI), ranging from mild cognitive deficits to persistent vegetative states. We here aimed to unravel the underlying pathological mechanisms of HI injury in a TBI mouse model.Methods Neurobehavior, neuroinflammation, and oxidative stress were assessed in a mouse model of controlled cortical impact (CCI) injury followed by HI. Mice underwent CCI alone, CCI followed by HI, HI alone, or sham operation. HI was induced by one-vessel carotid ligation with 1 hour of 8% oxygen in nitrogen. Learning and memory were assessed using the novel object recognition test, contextual and cued fear conditioning, and Barnes maze test. Brain cytokine production and oxidative stress-related components were measured.Results Compared to TBI-only animals, TBI followed by HI mice exhibited significantly poorer survival and health scores, spatial learning and memory in the Barnes maze test, discrimination memory in the novel object recognition test, and fear memory following contextual and cued fear conditioning. Malondialdehyde levels were significantly lower, whereas glutathione peroxidase activity was significantly higher in TBI followed by HI mice compared to TBI-only and sham counterparts, respectively. Interleukin-6 levels were significantly higher in TBI followed by HI mice compared to both TBI-only and sham animals.Conclusion Post-traumatic HI aggravated deficits in spatial, fear, and discrimination memory in an experimental TBI mouse model. Our results suggest that increased neuroinflammation and oxidative stress contribute to HI-induced neurobehavioral impairments after TBI.