bluuebunny/crossref_metadata_2025 huggingface dataset:
How Do Firms Use Social Media: Topic Modeling of Twitter Brand Posts of Four Indonesian Skincare Brands
Authors:   Faculty of Economics and Business, Universitas Indonesia, Lestari Annisafira Lintang , Hananto Arga ,   Faculty of Economics and Business, Universitas Indonesia
Published: January 2024

Manuscript type: Empirical paper Research Aims: This paper aims to identify the topics of social media posts (on Twitter) from local skincare brands in Indonesia. Design/methodology/approach: This descriptive study applied text analysis methods, specifically frequency analysis and topic modeling with the Latent Dirichlet Allocation (LDA) method. Data were collected from the top four skincare brands with over 10,000 followers using Twitter Academic API interfaced through the Twarc package in Python. The dataset contained 1290 tweets from Wardah, 17,491 tweets from Avoskin, 1,968 tweets from Somethinc, and 590 tweets from Whitelab. The data analysis used quanteda and topicmodels packages from R software. Research findings: The findings revealed that the brands’ tweets can be categorised into 8-10 topics, which can be distilled further into three significant functions proposed by Saxton and Waters (2014): information, promotion and mobilisation, and community building and dialogue. Theoretical Contribution/Originality: This study adds to the body of knowledge regarding social media marketing by adding insights into how local Indonesian brands carry out their social media marketing efforts. Practitioner/Policy Implication: The findings implied that marketing managers should emphasise providing timely and relevant information as a base that can be used to build dialogic communication efforts with their audience. Research limitation/Implications: This study only looked at four brands in the local skincare product category. In addition, this study applied automated topic modeling with LDA, which needed an a priori number of topics, which might affect the topic labelling. Furthermore, this study’s scope was limited to categorising the brand posts without examining the effects of brand post types on engagement metrics. Future studies can examine more samples by observing other product categories, applying thematic analysis to code each tweet, and comparing the results to topic modeling results. Lastly, future studies can examine the relationship between brand post types/categories and engagement metrics such as likes, comments, and retweets. Keywords: Cosmetics Brands, Social Media Marketing, Skincare, Topic Modeling, Twitter
A Tax Compliance Model with Legal Certainty Factors: A Laboratory Experiment Study
Authors: Paramita Anjelina Rahayu
Published: January 2024

This study aims to examine whether there is a difference in tax compliance between high and low law enforcement. This research was quantitative in nature and employed a 2x1 factorial experimental design, testing the dimensions of law enforcement in high and low conditions. The participants involved in this study are 95 undergraduate accounting students from the Faculty of Economics and Business who have taken taxation courses at the University of Muhammadiyah Gresik. The results of this research indicate a significant difference in tax compliance between the high and low law enforcement conditions. This suggests that taxpayers feel burdened by the prospect of high tax sanctions in the future. Taxpayers are more likely to choose compliance when law enforcement is stronger or when tax penalties are more severe. Without sanctions, taxpayers may underestimate the importance and choose not to fulfill their tax obligations properly.
HYBRID NATURE OF A NEW JURASSIC–CRETACEOUS WORM BURROW INDICATED BY MICROBIAL MEDIATION OF ITS WALL FORMATION
Authors: KOŁODZIEJ BOGUSŁAW , LAZĂR IULIANA , BUCUR IOAN I. , COMAN MARIANA , UCHMAN ALFRED
Published: January 2024

A new trace fossil Macroterebella hoffmanni nov. igen., nov. isp. occurs in Oxfordian and Aptian limestones of Romania, in the Central Dobrogea and the Rarău Mountains, respectively. It is a tubular, branched, and winding burrow (5–14 mm in diameter) displaying a thick wall (0.8–2 mm) with a micropeloidal texture. The Dobrogea burrows contain abundant calcite pseudomorphs after dolomite in the wall. A ferruginous halo occurs around burrows from Rarău. The burrow lumen resulted from burrowing by the tracemaker, most likely a polychaete worm of the family Terebellidae, while the wall is nonconstructional, and its formation was microbially mediated. Terebellids produce mucous-lined burrows, which are attractive for microbial activity which is geochemically important for metal adsorption and mineral nucleation. The micropeloidal texture of the Macroterebella wall is the result of bacterially mediated precipitation and possibly influenced by extracellular polymeric substances (EPS). Some microbes, especially sulphate-reducing bacteria producing extracellular polymeric substances (EPS) are able to mediate the formation of dolomite, and some microbial cells may be nucleation sites for dolomite. The lack of dolomite and the presence of a ferruginous halo around the burrows in the Rarău specimens may reflect different environmental geochemical conditions within these burrows compared with those from Dobrogea. This study confirms that microbes and organic matter in the mucous lining of burrows in a carbonate environment may play an important physicochemical role in the final appearance of trace fossils. Macroterebella nov. igen. can be considered as a trace fossil with a hybrid bioturbation/biosedimentary nature.
Epidemiological and hematological profile of traumatic spinal cord injury: a retrospective study
Authors: Li Fang , Wei Changkun , Huo Su , Song Weiqun
Published: January 2024

Study design: A retrospective hospital-based study.
Objective: To describe the epidemiological features and identify hematological indicators with prognostic value for function of traumatic spinal cord injury (TSCI) in a Beijing, China.
Setting: Xuanwu Hospital of Capital Medical University, Beijing, China.
Methods: Routine blood and clinical data of TSCI patients who admitted to Xuanwu Hospital of Capital Medical University from 2015 to 2021 were collected for detailed investigation.
Results: In all, 129 cases were identified. The most commonly affected age group was 46-60 years, and male-to-female ratio was 2.5:1. The leading cause was low fall (50.4%), followed by transport (25.6%). The most common injury site was the cervical spinal cord, especially C5, accounting for 86.0%. The proportion of TSCI patients receiving rehabilitation treatment after acute management was 27.2%. In addition, the univariate analysis showed that serum albumin (Alb) and hemoglobin (Hb) concentrations at admission in cervical TSCI patients with increased Barthel index (BI) scores were significantly higher than those without increased BI scores (P＜0.05). Further, serum Alb was demonstrated as independent predictor for altered BI scores, the cut off was 33.16 g/L.
Conclusion: Prevention strategies for TSCI should mainly target 46-60 age group, males and low fall. The results of this study will serve as a basis for further studies on TSCI, at least in Beijing. The preventive programs should be designed according to the injury characteristics. Additionally, higher Alb concentration (≥33.16 g/L) in peripheral blood is closely related to the improvement of activities of daily living (ADL) [indicated by increased BI scores] in cervical TSCI patients. However, further detailed studies are urgently needed.
Direct observation of unidirectional exciton polaritons in layered van der Waals semiconductors
Authors: Yang Yuanjie , Bai Yihua , Yan Jiadian , Zhang Qing , Sun Yuchen , Zeng Yuelei , Liu Fucai , Hu Min , Hu Jun , Hu Guangwei
Published: January 2024

Unidirectional excitation of highly confined guided modes is essential for nanoscale energy transport, photonic integrated devices, and quantum information processing. Among various feasible approaches, the mechanism based on optical spin-orbit coupling has been investigated for unidirectional routing of surface plasmons and valley exciton polaritons, without exploiting the complicate magneto-optical effects and parity symmetry breaking. So far, the direct nanoimaging of such exotic polaritonic modes in near fields has remained elusive. Here, we report the real-space nanoimaging of unidirectional exciton-polariton in van der Waals semiconductors. We couple photonic spins into the tip of a scattering-type scanning near-field optical microscopy for circular dipolar excitations of spin-orbit interactions, thus enabling the unidirectional exciton propagation (with remarkable ratio of unidirectionality R=3.44 for TM mode). Via switching to the opposite helicities, we observe the reversed opposite directions. Our work offers a promising avenue for detecting and processing spin information for future communication technology at the nanoscale.
Design for Remanufacturing: Manufacturer’s Motivation and Remanufacturer’s Responsibility Sharing
Authors: Lu Yongkang , Chang Xiangyun , Li Lin , Tang Ou
Published: January 2024

This research focuses on two critical facets: the motivation driving manufacturers to engage in Design for Remanufacturing (DfR) and the decision-making process of the authorized remanufacturer regarding shared DfR responsibility. The study describes a scenario where the manufacturer produces new products and the authorised remanufacturer produces remanufactured products. The research employs three distinct models to analyse the complex dynamics between these two stakeholders. The findings indicate that: 1) the manufacturer's motivation for undertaking DfR responsibility is to optimise remanufacturing revenues by strategically increasing authorisation fees. 2) In scenarios where the unit remanufacturing cost-saving is limited, the authorized remanufacturer shares the DfR responsibility and selectively remanufactures a portion of used products. 3) Shared responsibility increases the remanufacturing ratio and profits for both stakeholders, effectively mitigating the free-rider dilemma. In addition, shared responsibility increases the authorisation fee without changing the proportion of DfR performance captured by the manufacturer.
The effect of the sandblasting method on the performance of LaNiO3/γ-Al2O3 adhesion in a microchannel reactor for dry reforming of methane process
Authors: Ghazi Atefeh , Moradi Gholamreza , Montazeri Vahab
Published: January 2024

Dry methane reforming to produce hydrogen gas has been one of the most popular methods in recent years. For this purpose, the performance of thin-film LaNiO3 and LaNiO3/γ-Al2O3 perovskite catalysts in a microchannel reactor has been investigated. Alumina support was used to improve the H2/CO ratio in the LaNiO3 catalyst. It should be noted that the molar ratio of CH4:CO2:He in the feed is equal to 1:1:8. Also the temperature, pressure, and residence time are 800 °C, 1 atm, and 3 s, respectively. Also, the weight of the catalyst coated on the plate for GC tests and the amount of reaction rate are g and 0.006 mol CH4/min.gr cat, respectively. Extensive characterization of these nano catalyst powder (C.P.) using XRD, FT-IR, SEM, and EDX was shown that the C.P. were synthesized correctly and no impurities were observed in the thin layer catalyst. Also, the weight of the catalyst coated on the plate for GC tests is g. The H2/CO ratio for LaNiO3/γ-Al2O3 was 0.98 and the catalyst was uniformly stable for 30 h on the stream. Since the H2/CO ratio, for LaNiO3 was 0.91 at 15h on the stream, it was found that the presence of the alumina support can significantly increase the stability and decreases the deactivation rate compared to the LaNiO3 catalyst. In other words, catalyst coating (C.C.) on stainless steel is costly and required certain coating conditions. Using the new novel sandblasting method for roughness and coating synthesized catalyst on stainless steel causes considerable adhesion of the catalyst on the surface in comparison to the other coating method with better control over the load of the catalyst.
Crying wolf with the 2023 El Niño: a predicted event that failed to materialize and an unexpected super-event by the second half of 2024?
Authors: Borzelli Gian Luca Eusebi , Carniel Sandro , Carniel Cosimo Enrico , Russo Aniello
Published: January 2024

The El Niño–Southern Oscillation (ENSO) is a phenomenon that involves the redistribution of heat in the tropical Pacific Ocean, resulting in irregular oscillations in the sea surface temperature (SST) between warm (El Niño) and cold (La Niña) phases. While ENSO originates in the tropical Pacific, its impacts are global. In July 2023, the World Meteorological Organization, formally responsible to declare the onset of El Niño, officially announced it to the media, urging governments to prepare for potential high impacts on health, ecosystems, and economies. However, our analysis of long-term meteorological and oceanographic data updated to the end of 2023 shows that while the eastern Pacific was warmer than normal in the second half of 2023, the overall configuration of the tropical Pacific climate system did not indicate a notable El Niño event. In fact, we found that the average SST over the global tropical ocean, excluding the eastern tropical Pacific, was significantly above normal during 2023. Therefore, the excess temperature in the eastern tropical Pacific during 2023 could be attributed to the overall warmth of the global tropical ocean itself. Our findings show that the 2023-24 El Niño event, initially predicted to be at least moderate and possibly strong, turned out to be weak and, de facto, the year is closing without the primary metrics, confirming it as a weaker event than the expectations. However, based on historical records, we hypothesize that the state of the Pacific climate system at the end of 2023, following the unusual 2023-24 El Niño, may lead to the development of a strong or very strong El Niño by mid-2024.
MacErt Culture Media: A Cost-Effective Selective Media for Carbapenemase Producing Enterobacterales isolation
Authors: SOW Ousmane , CISSE Abdoulaye , NDIAYE Issa , NIANG Elhadj Aly , WANE Abdoul Aziz , FALL Cheikh , SAMBE Bissoume , Mohammed Nuredin Ibrahim , DIEYE Yakhya , SECK Abdoulaye
Published: January 2024

Background: Culture media play a crucial role in the identification of bacterial pathogens. This study aimed to evaluate the performance of MacErt1 and MacErt2 culture media, for the selective detection of Carbapenemase-Producing Enterobacterales (CPEs)
Methods: MacErt1 and MacErt2 were formulated by supplementing MacConkey agar with 0.5 mg/L and 1 mg/L of ertapenem, respectively. The two media were assessed using a panel of 26 characterized Enterobacterales, including CPEs producing OXA-48, NDM, and KPC. Then, the media were employed under realistic conditions for the analysis of wastewater. For each wastewater sample, 10 ml was filtered, and the membrane was placed on MacErt agar, followed by overnight incubation. Subsequently, colonies underwent further examination. Antimicrobial susceptibility tests and Conventional PCR targeting blaOXA-48-like, blaNDM, blaKPC, blaVIM, and blaIMP were conducted on the colonies to assess carbapenem resistance genes presence.
Results: MacErt1 exhibited excellent sensitivity (100%) for NDM, KPC, and OXA-48-like producers, while MacErt2 showed a sensitivity of 60% for OXA-48-like CPEs but maintained high sensitivity (100%) for NDM and KPC producers. MacErt1 and MacErt2 exhibited specificities for CPEs of 93% and 71%, respectively. The application of MacErt1 to wastewater samples yielded a sensitivity of 100% and a specificity of 83% for CPEs.
Conclusions: The study underscores the efficacy and cost-effectiveness of MacErt1 and MacErt2 culture media, in detecting CPEs. MacErt1 exhibits 100% sensitivity across all CPEs, with 83% specificity in wastewater samples. MacErt2, with a specificity of 93% and 100% sensitivity for NDM and KPC producers, emerges as an excellent choice when targeting these specific strains.
Infiltrated macrophages aggravate TMJOA chronic pain via Piezo2 in IB4 + - TG neurons
Authors: Jia Xueke , Liu Xin , Zhu Taomin , Ma Xiaohan , Chen Ruiming , Li Huimin , Feng Yaping , Zheng Liwu , Liu Yu , Ke Jin
Published: January 2024

Temporomandibular joint osteoarthritis (TMJOA) chronic pain is one of the orofacial pains that result in limitations in chewing function and a decline in quality of life. Currently, therapies for TMJOA chronic pain are inadequate due to a lack of understanding of its underlying mechanism. Recent research has shown that macrophages in the ganglia play a role in the development of chronic pain. Piezo2, an ion channel for nociception, has potentially been discovered in ganglia neurons. In this study, we found that infiltrated macrophages, rather than tissue-resident macrophages in trigeminal ganglia (TGs), are involved in monosodium iodoacetate (MIA)-induced TMJOA chronic pain in rats. The number of infiltrated macrophages is positively correlated with the elevation of Piezo2 in the trigeminal ganglion (TG) neurons of TMJOA rats. Consistently, depletion of infiltrated macrophages through Cl2MDP tail intravenous injections leads to a down-regulation of Piezo2 in TG neurons. Additionally, overexpression of Piezo2 in TG neurons through adeno-associated virus 9 (AAV9)-Piezo2 targeting rats' neurons intracerebral injection reverses the alleviation effect of infiltrated macrophages depletion on TMJOA chronic pain in rats. Furthermore, infiltrated macrophages primarily mediate the expression of Piezo2 in IB4+-TG neurons of TMJOA chronic pain rats. Moreover, an ex vivo study demonstrates that IL-1β and TNF-α, the main pro-inflammatory cytokines secreted by infiltrated macrophages, induce the activation of rat Dil+-TG neurons by up-regulating Piezo2. This study demonstrates that infiltrated macrophages contribute to MIA-induced TMJOA chronic pain by upregulating the expression of Piezo2 in IB4+-TG neurons, providing new insights into the mechanism of TMJOA chronic pain.
Upscaling irradiation protocols of Aedes albopictus pupae within an SIT Programme in Reunion Island
Authors: Marquereau Lucie , Yamada Hanano , Damiens David , Leclercq Antonin , Derepas Brice , Brengues Cécile , Dain Brice William , Lejarre Quentin , Proudhon Mickael , Bouyer Jeremy , Gouagna Louis Clément
Published: January 2024

The implementation of the sterile insect technique against Aedes albopictus relies on many parameters, in particular on the success of the sterilization of males, released into the target area in overflooding numbers to mate with wild females. Achieving consistent sterility levels requires efficient and standardized irradiation protocols. Here, we assessed the effects of exposure environment, density of pupae, irradiation dose, quantity of water and location in the canister on the induced sterility of male pupae. We found that irradiation of 2000 pupae in 130 ml of water and with a dose of 40 Gy was the best combination of factors to reliably sterilize male pupae with the specific irradiator used in our control programme, allowing the sterilization of 14000 pupae per cycle. The location in the canister had no effect on induced sterility. The results reported here allowed the standardization and optimization of irradiation protocols for an SIT programme to control Ae. albopictus on Reunion Island, which required the production of more than 300,000 sterile males per week.
The Combined Improvement of Acute Exercise Fatigue through Hyperbaric Oxygen and Astaxanthin Under the Background of Artificial Intelligence
Authors: Zhang Zheng , Liu Meng , Huang Xizhang , Gao Binghong
Published: January 2024

Objective this work explored the application research of artificial intelligent (AI) algorithms in the oral and psychological rehabilitation of patients with chronic diseases through deep learning and hyperbaric oxygen combined with astaxanthin therapy. Materials and Methods a model was constructed using convolutional neural network (CNN) combined with multivariate gaussian distribution (MGD) to comprehensively analyze multi-mode health data (numeric, textual, and image). The performance of the CNN model and the CNN + MGD model was compared in terms of accuracy (Acc), area under the receiver operating characteristic curve (AUC), precision (Pre), and recall rate (Recall). Shanghai active football players were selected as the research subjects and divided into a control group, a hyperbaric oxygen intervention group, and a hyperbaric oxygen + astaxanthin intervention group. An AI system was adopted to analyze the electronic health data of patients, assess the efficacy of hyperbaric oxygen in eliminating acute fatigue in patients with chronic diseases, and explore its relationship with oral and psychological health. Results the Acc, AUC, Pre, and Recall of the CNN + MGD model were significantly higher than those of the three-dimensional CNN model (P < 0.05), demonstrating superior performance. Hyperbaric oxygen + astaxanthin treatment significantly promoted the elimination of acute fatigue in patients (P < 0.05), accelerated the recovery of blood oxygen saturation and muscle oxygen saturation, and significantly affected the degradation of blood lactate (P < 0.05). As a result, it rapidly reduced blood oxygen saturation and muscle oxygen saturation after acute fatigue exercise. The oral health-related quality of life in patients with chronic diseases was positively correlated with depression and anxiety levels. Psychological intervention can be conducted in clinical treatment to improve the treatment effect. Conclusion this work comprehensively evaluated the oral and psychological rehabilitation effects in patients with chronic diseases through deep analysis of electronic health data using intelligent algorithms that integrate deep learning with hyperbaric oxygen and astaxanthin therapy. The results suggested that hyperbaric oxygen + astaxanthin treatment not only significantly improved blood indicators but also exhibited a positive correlation with oral health-related quality of life and psychological health, providing a new treatment approach for patient recovery. Therefore, the research results were of great significance for improving patient quality of life and enhancing clinical treatment efficacy.
Quantifying collective enthusiasm and fan engagement: A case study of the Japanese professional baseball league
Authors: Otomo Naofumi , Mizuno Makoto , Sasahara Kazutoshi , Sano Yukie
Published: January 2024

Although collective behaviour in human societies sometimes leads to irrational outcomes, its quantitative and real-time measurement has long been challenging. In recent years, the rise of social media has led to new studies on collective attention, focusing on specific events within collective behaviour including elections and sports. In such events, quantifying collective attention using quantitative methods with a real-time nature has become possible. In collective attention, burst phenomena, rapid increase in posts, and interaction between participants have been largely examined. Conversely, more microscopic phenomena such as the participants’ identity and the exact words they post, still require thorough understanding. Therefore, enthusiasm in this study is defined as the state in which broad participants direct their narrow attention and quantify it. Specifically, we propose an indicator that represents the state in which a large number of people participate and their attention is focused locally. On testing the indicator using Twitter data collected through the hashtags of various Japanese professional baseball teams, positive and negative events including championships and player injuries generate enthusiasm, respectively. In an analysis that distinguishes between own-team fans and fans of other teams, collective attention involving even other team fans is revealed to occur for significant enthusiasm. Using the micro perspective defined in this study, which considers the local attention of enthusiasm, the mechanism of collective attention is clarified. Furthermore, clues for quantifying the real-time origins of collective behaviour in human society with both positive and negative aspects are provided.
Impact of COVID-19 Lockdown Measures on Mother and Child Health – The case of Ghana
Authors: Koka Eric , Asante-Poku Adwoa , Adjei Daniel , Sebbie Diana , Siam Ishaque , Asare Prince , Yeboah-Manu Dorothy , Gadzekpo Audrey , McCoy David , Narh Emmanuel
Published: January 2024

Background The lockdown measures in response to the coronavirus disease (COVID-19) have led to a wide range of unintended consequences for women and children. Until the outbreak of COVID-19, attention was on reducing maternal and infant mortality due to pregnancy and delivery complications. The aim of this study was to interrogate the impact of lockdown measures on women and children in two contrasting districts in Ghana – Krobo Odumase and Ayawaso West Wuogon.
Methods This study adopted the mixed-method approach using both qualitative and quantitative data. The qualitative study relied on two data collection methods to explore the impacts of COVID-19 control measures on women and children in Ghana. These were: Focus Group Discussions (FGDs; n=12) and Key Informant Interviews (KIIs; n = 18).The study complemented the qualitative data with survey data - household surveys (n = 78) and policy data gathered from government websites consisting of government responses to COVID-19.
Results Engagements with participants in the study revealed that the lockdown measures implemented in Ghana had consequences on child and maternal health, and the health care system as a whole. Our study revealed, for example, that there was a decrease in antenatal and postnatal attendance in hospitals. Childhood vaccinations also came to a halt. Obesity and malnutrition were found to be common among children depending on the location of our study participants (urban and rural areas respectively). Our study also revealed that TB, Malaria and HIV treatment seeking reduced due to the fear of going to health facilities since those ailments manifest similar symptoms as COVID 19.
Conclusion Government responded to COVID-19 using different strategies however the policy response resulted in both intended and unintended consequences especially for women and children in Ghana. It is recommended that national policy directions should ensure the continuous provision of child and maternal healthcare services which are essential health services during lockdowns.
Developing and Evaluating a Novel Vessel Ligation Simulator Designed for Teaching Surgical Knot-Tying: A Mixed-Methods Study
Authors: Wu Meng-Yu , Yau Sze Yuen , Lin Jiun-Ren , Lee Li-Ang , Hsieh Ming-Ju
Published: January 2024

Background: Surgical knot-tying is a fundamental learning subject for surgical novices. However, no existing knot-tying training simulator offers a direct objective measurement of knot security, a critical feature of professional performance in this skill. This study aims to bridge this gap by developing a novel knot-tying simulator capable of assessing knot security objectively. Its educational impact was also investigated through professional user evaluation.Methods: A three-phase mixed-methods research study was conducted from August 2021 to September 2022. The first phase involved developing and manufacturing a novel vessel ligation simulator that measured the pressure-holding ability of knots, serving as an indicator of knot security, through post-ligation pressure testing. The second phase involved the participation of expert surgeons (n = 6) and Year-5 medical students (n = 30) in product evaluation. The final phase was a mixed-methods data analysis to determine the educational impact of the simulator. The collected data included participants’ demographics, prior experience in surgical knot-tying, performance metrics on the simulator, experts’ responses to a five-point Likert scale survey of simulator validity, novices’ responses to a 10-point scale survey of self-confidence in mastering surgical knot-tying skills before and after the training course, and their overall perceptions regarding the learning experience associated with the simulator.Results: The simulator was crafted using 3D-printing technology. The experts gave it high scores in face and content validity, with mean scores of 4.5 and 4.77, respectively. Twenty-four novice participants (80%) achieved knot security in vessel ligation by the end of the 3-hour training course, though they required more time for task completion compared to experts. Furthermore, all novice participants reported a marked increase in their post-class self-confidence in skill mastery. The unanimous approval from the novices highlighted the simulator's effectiveness in enhancing their learning, especially its high-fidelity design and objective feedback. This facilitated their reflection and motivation for the post-class deliberate practice.Conclusion: This study not only validates our hypothesis regarding the appropriateness of pressure-holding ability in teaching surgical knot-tying but also establishes a comprehensive methodological framework beneficial for curriculum developers to design effective simulation-based skill training in surgery.
Trust on Personalised Electronic Commerce: A Spanish Case
Authors: Gijón Covadonga , Ruíz-Rúa Aurora , Fernández-Bonilla Fernando , Cuadrado-Gallego Juan-J. , Rodriguez Daniel
Published: January 2024

The privacy and value of users' personal data is closely related to the risk and trust perceived by the users on the Internet about personalised advertising. This paper analyses the level of concern of Internet users in Spain for personalised advertising using datasets from surveys carried out by the Spanish National Institute of Statistics in the years 2020 and 2023. These datasets are composed of socio-demographic variables as well as other variables such as Internet security tools. It could be seen in the results that the most important variables that influence the level of concern with advertising and personalised e-commerce are those related to their personal condition, such as gender, online education, marital and employment status. Also, security features facilitate the use of the Internet when risk perceived by individuals is high and have a greater influence on those individuals who have a higher perception of risk. Finally, the pandemic has increased the concern of individuals regarding the processing of their personal data and personalised publicity. Furthermore, there is an inverse relationship between trust on the Internet and the development of excessive concern about receiving personalised advertising, the positive impact of having suffered from fraud and having high levels of concern about the use of personal data. The importance of the state regarding legal frameworks and the education and knowledge of users in relation to these issues is also highlight.
Upper endoscopy in elderly patients: a multicentre study.
Authors: Zullo Angelo , De Francesco Vincenzo , Amato Arnaldo , Bergna Irene , Bendia Emanuele , Giorgini Giorgia , Buscarini Elisabetta , Manfredi Guido , Cadoni Sergio , Cannizzaro Renato , Realdon Stefano , Ciuffi Mario , Ignomirelli Orazio , Carrara Paola Da Massa , Finucci Giovanni , Somma Antonietta Di , Frandina Chiara , Loria Mariafrancesca , Galeazzi Francesca , Ferrara Francesco , Gemme Carlo , Bertetti Noemi Sara , Gentili Federica , Lotito Antonio , Germanà Bastianello , Russo Nunzia , Grande Giuseppe , Conigliaro Rita , Cravero Federico , Venezia Giovanna , Marmo Riccardo , Senneca Piera , Milano Angelo , Efthymakis Konstantinos , Monica Fabio , Montalto Paolo , Lombardi Mario , Morelli Olivia , Castellani Danilo , Nigro Daniela , Festa Roberto , Peralta Sergio , Grasso Maria , Privitera Antonello , Stefano Maria Emanuela Di , Scaccianoce Giuseppe , Loiacono Mariangela , Segato Sergio , Balzarini Marco , Satta Paolo Usai , Lai Mariantonia , Fortunato Francesca , Manta Raffaele
Published: January 2024

Background: Both macroscopic and histological lesions are frequently detected at upper endoscopy in elderly patients. We assessed the prevalence of the main endoscopic and histological alteration in aged patients who underwent upper endoscopy.
Methods: In this cross-sectional study, clinical, endoscopic, and histological features of consecutive elderly patients referred for upper endoscopy in clinical practice were retrieved. Data were analysed at both univariate and multivariate analyses.
Results: A total of 1,336 (M/F: 595/741; Mean age: 74.1; range: 65-102) underwent upper endoscopy during one month in the 28 participating centres. At endoscopy, at least one macroscopic lesion was present in overall 420 (31.4%) patients. Erosive gastritis (13.3%) and erosive oesophagitis (9.8%) were the most prevalent lesions, whilst Barrett’s oesophagus, gastric ulcer, duodenal ulcer and erosive duodenitis were observed in 1.8%, 2%, 1.4%, and 3.1% patients, respectively. Nine (0.6%) cases of oesophageal, 25 (1.8%) gastric, and 2 (0.1%) duodenal neoplasia were detected. At histology, H. pylori infection was diagnosed in 99 (15.9%) patients, and extensive (antral plus corporal) precancerous lesions on gastric mucosa were detected in 80 patients (14.5%). Endoscopic lesions were more frequent in males, in patients who underwent first endoscopy, and in those with alarm symptoms, whilst were reduced in patients receiving PPI therapy. At multivariate analysis, no independent predictor was found.
Conclusions: Our data found that frequency of erosive and neoplastic lesions remained high in elderly patients, whilst the prevalence of both H. pylori infection and peptic ulcer was decreased.
Evaluation of mining landscape changes with development landscape metrics in the Ostrava-Karviná Mining District (Czech Republic)
Authors: Popelková Renata , Mulková Monika
Published: January 2024

The study presents an analysis of changes in the landscape of the Ostrava-Karviná Mining District (in the Czech Republic) covering the period of more than 170 years. In the area of interest affected by underground coal mining, both areas affected by changes and land cover preserving areas were identified in the study. A detailed assessment of the landscape changes was enabled by using landscape metrics and indices, namely development index and total landscape change index. The underlying data were obtained from maps of stable cadastre (from the year 1836) and aerial images of the years 1947, 1971, and 2009. Visual photointerpretation of aerial images and vectorisation of the maps of stable cadastre made it possible to create land cover maps according to CORINE Land Cover categories. Obtained information on the representation of individual land cover categories were used to identify and to analyse changes in the landscape affected by hard coal mining.
Unveiling phenylpropanoid regulation: the role of DzMYB activator and repressor in durian (Durio zibethinus) fruit
Authors: Weerawanich Kamonwan , Sirikantaramas Supaart
Published: January 2024

The durian fruit has high nutritional value attributed to enriched bioactive compounds, including phenolics, carotenoids, and vitamins. While various transcription factors (TFs) govern phenylpropanoid biosynthesis, MYB TFs emerge as pivotal players in regulating key genes within this pathway. This study delves into the identification of additional candidate MYB TFs from the transcriptome database of the Monthong cultivar at five developmental/postharvest ripening stages. Candidate transcriptional activators were discerned among MYBs upregulated during the ripe stage, based on the positive correlation observed between flavonoid biosynthetic genes and flavonoid contents in ripe durian pulps. Conversely, MYBs downregulated during the ripe stage were considered candidate repressors. The study focused on a candidate MYB activator (DzMYB2) and a candidate MYB repressor (DzMYB3) for functional characterization. LC–MS/MS analysis in Nicotiana benthamiana leaves transiently expressing DzMYB2 revealed increased phenolic compound contents compared to those expressing green fluorescence protein controls, while transiently expressed DzMYB3 led to a decrease in phenolic compounds. Furthermore, it was demonstrated that DzMYB2 controls phenylpropanoid biosynthesis in durian by regulating the promoters of various biosynthetic genes, including phenylalanine ammonia-lyase (PAL), chalcone synthase (CHS), chalcone isomerase (CHI), and dihydroflavonol reductase (DFR). Simultaneously, DzMYB3 regulates the promoters of PAL, 4-coumaroyl-CoA ligase (4CL), CHS, and CHI, resulting in the activation and repression of gene expression, respectively. Additionally, it was discovered that DzMYB2 and DzMYB3 could bind to another TF, DzbHLH1, in the regulation of flavonoid biosynthesis. These findings enhance our understanding of the pivotal role of MYB proteins in regulating the phenylpropanoid pathway in durian pulps.
Identification and expression analysis of Jr4CLs gene family based on transcriptome and physiological data in Walnut ( Juglans regia )
Authors: Ma xiaolan , Gao Yanlong , Zhang zhongxing , Wang xiaoya , Wang Yan xiu
Published: January 2024

Shoot shriveling severely threat growth and development of deciduous trees in northern hemisphere, its essence is imbalance of water absorption and evaporation in the branches. In this study, the physiological characteristics of 'Xiangling' and 'Liaohe (Liaoning No. 4)' during the overwintering process were studied, and key overwintering periods were selected for transcripome analysis. The results showed that plant hormone metabolism, wax metabolism and lignin metabolism were significantly enriched during the overwintering process. Combined with Jr4CL family analysis, the high-expression gene (Jr4CL44) under drought stress was selected by real-time fluorescence quantitative screening for functional verification. Overexpression of Jr4CL44 can effectively remove the reactive oxygen species produced by drought stress, increase lignin content and up-regulate the expression of related genes to improve the drought resistance of Arabidopsis thaliana. These results indicate that Jr4CL44 plays an important role in plant resistance to drought stress, which laies a foundation for further study on the functions in practice.
A Population-based Cohort to Investigate the Impact of Covid-19 on Socioeconomic Inequalities in Mental Health Care in Italy (Comeh): Cohort Profile
Authors: Petrelli Alessio , Aragona Massimiliano , Ciampichini Roberta , Napoli Anteo , Fano Valeria , Leone Sara , Pacifici Martina , Rosini Claudio , Silvestri Caterina , Zucchi Alberto , Ventura Martina
Published: January 2024

Background
The CoMeH cohort was established to assess the impact of the COVID-19 pandemic on the use of mental health services in Italy in the short and long term, with a particular focus on socioeconomic and/or citizenship inequalities.
Methods
All residents subjects for at least 2 years, aged ≥ 10 years, and assisted by an NHS general practitioner (GP) of the area of residence, in three vast catchment areas (N = 5,167,043). Primary outcomes of interest are the following indicators of mental health care services’ use: first access to any mental health care service, total number of accesses to mental health care services, the consumption of psychiatric drugs, the number of psychiatric or psychological outpatient visits, the number of residential or day care days spent in psychiatric facilities, the number of emergency and/or inpatient admissions to hospitals.
Results
Incident users were 3.2% of the population for Bergamo LHA, 3.5% for Rome2 LHA, and 4.4% for the Tuscany Region. The overall crude incidence rate of access to mental health care was 3.3% in the pre-COVID-19 period and 2.6% during the pandemic. Prescriptions for a mental disorder (57.2%) and ED admissions (25.1%) were the main reasons for enrollment. Compared to the general population, people with mental health conditions were older and more often female. The distribution of the incident users by deprivation index overlapped that of the population. Immigrants were younger, socioeconomically more deprived, and more often entered the study for an ED admission.
Discussion
We will focus on the impact of the pandemic through the evaluation of accesses to hospitalization, emergency, outpatient visits, residential and day care services, and drug prescriptions. We will also evaluate socioeconomic inequalities through the use of census-based deprivation index and migration status. Finally, we will also analyze the impact of COVID-19 infection and outcome on the study cohort.
Decomposition Analysis of Differences in Depressive Symptoms between Agricultural and Non-Agricultural Workers in China
Authors: Zhao Zhe , Lan Weijuan , Li Yangyi , Jiang Qinqin , Liu Yijun , Sun Jinhai , Liu Lijuan , Yuan Lei
Published: January 2024

Background: Chinese workers are confronted with severe mental health issues. This study aimed to investigate the reasons for the differences in depressive symptoms between agricultural and non-agricultural workers in China, and to measure the contribution of relevant influencing factors.
Methods: The data used in this study came from the 2018 China Family Panel Studies (CFPS) data. We used the brief 8-item Centre for Epidemiological Studies Depression Scale (CES-D-8) to measure participants’ depressive symptoms, and Fairlie decomposition model was used to analyze the influencing factors for the differences in depressive symptoms between agricultural and non-agricultural workers and their contribution.
Results: The percentage of employed people with depressive symptoms was 14.45%. The percentage of agricultural workers (18.71%) with depressive symptoms was higher than that of non-agricultural workers (11.33%).The results of Fairlie decomposition analysis showed that 74.59% of the differences in depressive symptoms between agricultural and non-agricultural workers was due to observed factors, which were education level (39.58%), self-rated health (25.72%), marital status (-23.80%), residence (12.19%), job satisfaction (8.31%), chronic disease (5.64%), gender (5.14%), life satisfaction (3.47%) , and body mass index (-1.26%) (all p<0.05).
Conclusions: The percentage of depressive symptoms was higher in agricultural than in non-agricultural workers, which was primarily associated with differences in socioeconomic status and health status factors between agricultural and non-agricultural workers.
Optimizing the placement of nodes in a proposed triangular plate element
Authors: Yaghoobi Majid , Sedaghatjo Mohsen , Karkon Mohammad
Published: January 2024

In this article, the optimization of element node positions using Adam's algorithm is employed to improve the finite element efficiency. While previous research has focused on the effect of changing the mesh on the finite element response, little attention has been given to the impact of node position changes without altering the mesh structure. The article presents a formulation of a triangular element with 15 degrees of freedom using a complete fourth-degree field for deformations. Through numerous numerical tests involving normal and skew geometries, different support conditions, and various loadings, the optimal positions of the nodes are determined. These tests are conducted on both coarse and fine meshes, with and without distortion. The results indicate that in the suggested element, particularly in coarse meshes and situations involving significant distortion, the outcome is greatly influenced by the positions of the nodes. By employing the proposed finite element formulation that incorporates Adam's optimization algorithm, it is possible to achieve accurate results in coarse meshes with distortion. This can be accomplished by using the proposed element without the optimization algorithm and with a uniform distribution of element nodes in fine regular meshes.
Real-time and On-site Aerodynamics using Stereoscopic PIV and Deep Optical Flow Learning
Authors: Elrefaie Mohamed , Hüttig Steffen , Gladkova Mariia , Gericke Timo , Cremers Daniel , Breitsamter Christian
Published: January 2024

We introduce Recurrent All-Pairs Field Transforms for Stereoscopic ParticleImage Velocimetry (RAFT-StereoPIV). Our approach leverages deep optical flowlearning to analyze time-resolved and double-frame particle images from on-sitemeasurements, particularly from the 'Ring of Fire,' as well as from wind tunnelmeasurements for real-time aerodynamic analysis. A multi-fidelity datasetcomprising both Reynolds-Averaged Navier-Stokes (RANS) and Direct NumericalSimulation (DNS) was used to train our model. RAFT-StereoPIV outperforms allPIV state-of-the-art deep learning models on benchmark datasets, with a 68% error reduction on the validation dataset, Problem Class 2, and a 47% errorreduction on the unseen test dataset, Problem Class 1, demonstrating itsrobustness and generalizability. In comparison to the most recent works in thefield of deep learning for PIV, where the main focus was the methodologydevelopment and the application was limited to either 2D flow cases or simpleexperimental data, we extend deep learning-based PIV for industrialapplications and 3D flow field estimation. As we apply the trained network tothree-dimensional highly turbulent PIV data, we are able to obtain flowestimates that maintain spatial resolution of the input image sequence. Incontrast, the traditional methods produce the flow field of~16 × lower resolution. We believe that this study brings the field of experimentalfluid dynamics one step closer to the long-term goal of having experimentalmeasurement systems that can be used for real-time flow field estimation.
Antibacterial activity of Hungarian varietal honeys changes over time against respiratory pathogens
Authors: Nagy-Radványi Lilla , Balázs Viktória L. , Kocsis Béla , Csikós Eszter , Ángyán Virág D. , Szabó Péter , Biró Viktória , Kocsis Marianna , Farkas Ágnes
Published: January 2024

Today, antibiotic therapies that previously worked well against certain bacteria due to their natural sensitivity, are becoming less effective. Honey has been proven to inhibit the biofilm formation of some respiratory bacteria, however few data are available on how the storage time affects the antibacterial effect. The activity of black locust, goldenrod, linden and sunflower honeys from three consecutive years was analyzed against Gram-negative (Haemophilus influenzae, H. parainfluenzae, Pseudomonas aeruginosa) and Gram-positive (Streptococcus pneumoniae) bacteria using in vitro microbiological methods. After determining the physicochemical parameters of honey, broth microdilution was applied to determine the minimum inhibitory concentration of each honey type against each bacterium, and crystal violet assay was used to test their antibiofilm effect. The possible mechanism of action was explored with membrane degradation test, while structural changes were illustrated with scanning electron microscopy. As the storage time increased, the color of honeys became darker, and their antibacterial activity decreased significantly. The most remarkable inhibitory effect was exerted by linden and sunflower honeys, and P. aeruginosa proved to be the most resistant bacterium. Based on our results, honey intended for medicinal purposes should be used as fresh as possible during a treatment.