bluuebunny/crossref_metadata_2025 huggingface dataset:
Decontextualized fear memories? Stronger conditioned fear responses during extinction learning and extinction recall in a safe context predict the development of long-term analog intrusions
Authors: Neudert Marie K. , Schäfer Axel , Zehtner Raphaela I. , Fricke Susanne , Seinsche Rosa J. , Stark Rudolf , Hermann Andrea
Published: May 2023

Background

Difficulties in the context-dependent modulation of conditioned fear are known for posttraumatic stress disorder and may explain the occurrence of intrusive memories in safe contexts. The current study therefore investigated if reduced context-dependent modulation of conditioned fear and its underlying neural circuitry constitute risk factors for the development of analog intrusions in response to an experimental trauma.

Methods

Eighty-five healthy women participated in the trauma film paradigm to investigate the development of analog intrusions as well as explicit memory for an experimental trauma after one week and three months, respectively. Before, participants underwent a context-dependent fear conditioning paradigm during functional magnetic resonance imaging with fear acquisition in context A and extinction training in context B on a first day, as well as extinction recall in context B and fear renewal in a novel context C one day later. Skin conductance responses (SCRs) and blood oxygen level dependent responses were main outcome measures.

Results

In addition to stronger fear acquisition in context A, stronger conditioned fear responses in the safe context B, as indicated by stronger conditioned SCRs or stronger activation of fear expressing regions during extinction learning and recall, predicted the development of long-term analog intrusions.

Conclusions

Stronger fear responses in safe and danger contexts were risk factors for the development of long-term analog intrusions and point to decontextualized fear memories and difficulties in the context-dependent modulation of conditioned fear. Altered fear conditioning processes and reduced storage of contextual information may cause the occurrence of fear independent of context.
Ultra-processed food consumption and obesity indicators in individuals with and without type 1 diabetes mellitus: a longitudinal analysis of the prospective Coronary Artery Calcification in Type 1 Diabetes (CACTI) cohort study
Authors: Pang Tiantian , Gray Heewon L , Alman Amy C , Buro Acadia W , Basu Arpita , Lu Shi , Snell-Bergeon Janet K
Published: May 2023

Objective:

To evaluate the associations of ultra-processed food (UPF) consumption and obesity indicators among individuals with and without type 1 diabetes mellitus (T1DM) from the Coronary Artery Calcification in Type 1 Diabetes cohort study.

Design:

A secondary analysis. The consumption of UPF was assessed using the dietary data collected with the Harvard FFQ, and each food item was categorised according to the NOVA food processing classification. Height, weight and waist circumference were measured at baseline and after a mean of 14·6-year follow-up. Generalised estimating equations stratified by diabetes status were used to assess the associations between UPF intake and obesity indicators over 14 years of follow-up.

Setting:

USA.

Participants:

A total of 600 adults (256 T1DM and 344 non-diabetic controls) aged 39 ± 9·1 years at baseline and followed up for over 14 years were included.

Results:

Participants with T1DM consumed significantly more UPF than non-diabetic controls at baseline: 7·6 ± 3·8 v. 6·6 ± 3·4 servings per day of UPF, respectively (P < 0·01). Participants with T1DM and with the highest UPF intake had the highest weight (βQ4 v. Q1 = 3·07) and BMI (βQ4 v. Q1 = 1·02, all P < 0·05) compared with those with the lowest UPF intake. Similar positive associations were observed in non-diabetic controls.

Conclusions:

Individuals with T1DM may consume more UPF than non-diabetic controls. Positive associations between UPF consumption and obesity indicators suggest that limiting UPF can be recommended for obesity prevention and management. Further research is needed to confirm these findings.
The ideological role of Chilean judges in the definition of Mapuche domestic violence
Authors: Zambrano-Tiznado Juan Pablo , Lira-Rodríguez Renato
Published: May 2023

In this work we analyse the way in which ideologies, understood as an extra-legal factor, are discursively manifested in a corpus of judicial rulings that resolve cases of Mapuche domestic violence. We understand the judicial ruling as an ideological discursive genre inherent to the legal field formed by social and discursive practices. By applying critical discourse analysis, we analyse the judicial discourse strategies used in order to construct (i) the idea of domestic violence in an indigenous context, (ii) the image of the Mapuche woman and (iii) the self-image of judges who resolve the conflict. We conclude that these strategies serve two purposes: one is to legitimate the law as an apparently impartial mechanism, and the other is to define the way those involved in the issue must be understood.
Channel Network Modeling of Flow and Transport in Fractured Rock at the Äspö HRL: Data‐Worth Analysis for Model Development, Calibration and Prediction
Authors: Dessirier Benoit , Sharma Kunwar Mrityunjai , Pedersen Jonas , Tsang Chin‐Fu , Niemi Auli
Published: May 2023

Performance assessment of nuclear waste disposal in deep crystalline bedrock demands a thorough understanding of the related flow and transport processes. Uncertainties may arise both from the selection of the conceptual model as well as the estimation of the related model parameters. Discrete fracture network (DFN) models are widely used for such modeling while channel network models (CNM) provide an alternative representation, the latter focusing on the fact that flow and transport in deep fractured media often are dominated by a small number of long preferential flow paths. This study applies the principle of channel networks, implemented in the Pychan3d simulator, to analyze the hydraulic and tracer transport behavior in a 450‐m‐deep fractured granite system at the Äspö Hard Rock Laboratory in Sweden, where extensive site characterization data, including hydraulic and tracer test data are available. Semi‐automated calibration of channel conductances to field characterization data (flow rates, drawdowns, and tracer recoveries) is performed using PEST algorithm. It was observed that an optimal CNM connectivity map for channel conductance calibration can only be developed by jointly fitting flow rates, drawdowns and tracer mass recovery values. Results from data‐calibrated CNM when compared to a corresponding calibrated DFN model shows that the CNM calibrates and adapts better than a DFN model with uniform fracture surfaces. This comparative study shows the differences and uncertainties between two models as well as examines the implications of using them for long term model predictions.
Ovulatory-cycle frozen embryo transfer: spontaneous or triggered ovulation and the impact of LH elevation at hCG triggering
Authors: Bilgory Asaf , Atzmon Yuval , Aslih Nardin , Shibli Abu Raya Yasmin , Sharqawi Moamina , Shavit Maya , Estrada Daniela , Shalom-Paz Einat
Published: May 2023

The effect of the luteinizing hormone (LH) elevation before the human chorionic gonadotropin (hCG) trigger in ovulatory frozen-thawed embryo transfer (Ovu-FET) cycles has not been determined. We aimed to investigate whether triggering ovulation in Ovu-FET cycles affects the live birth rate (LBR), and the contribution of elevated LH at the time of hCG trigger. This retrospective study included Ovu-FET cycles performed in our center from August 2016 to April 2021. Modified Ovu-FET (hCG trigger) and true Ovu-FET (without hCG trigger) were compared. The modified group was divided according to whether hCG was administered, before or after LH increased to > 15 IU/L and was twice the baseline value. The modified (n = 100) and true (n = 246) Ovu-FET groups and both subgroups of the modified Ovu-FET, those who were triggered before (n = 67) or after (n = 33) LH elevation, had comparable characteristics at baseline. Comparison of true vs. modified Ovu-FET outcomes revealed similar LBR (35.4% vs. 32.0%; P = 0.62), respectively. LBR were similar between the modified Ovu-FET subgroups regardless of the hCG trigger timing (31.3% before vs. 33.3% after LH elevation; P = 0.84). In conclusion, LBR of Ovu-FET were not affected by hCG trigger or whether LH was elevated at the time of hCG trigger. These results add reassurance regarding hCG triggering even after LH elevation.
Selective pertraction of dicarboxylic acids from simulated Rhizopus oryzae fermentation broths
Authors: Kloetzer Lenuta , Blaga Alexandra Cristina , Caşcaval Dan , Galaction Anca Irina
Published: May 2023

Fumaric, malic and succinic acids have been selectively separated by facilitated pertraction with Amberlite LA-2, using n-heptane as liquid membrane. The feed phase consisted on viscous aqueous solution with similar mixture of carboxylic acids and viscosity as those of Rhizopus oryzae fermentation broth. Due to the differences between the acidities and molecule size of these acids, it is possible to selectively recover fumaric acid from the initial solution. The pH-gradient between the feed and stripping phases, as well as carrier concentration in the liquid membrane represent the main process parameters influencing the pertraction selectivity. Among them, Amberlite LA-2 concentration exhibits the most important control on the selectivity factor S, the maximum value of S being reached for carrier concentration of 30 g/l. The increase of feed phase viscosity amplified the magnitude of these influences on pertraction selectivity, due to the hindrance of acids diffusion towards the region where their reaction with Amberlite LA-2 occurs, effect more important for malic acid. Therefore, by modifying the viscosity from 1 to 24 cP, the maximum value of selectivity factor was increased from 12 to 18.8.
Design and analysis for the SPICE parameters of waveform-selective metasurfaces varying with the incident pulse width at a constant oscillation frequency
Authors: Imai Shiori , Homma Haruki , Takimoto Kairi , Tanikawa Mizuki , Nakamura Jin , Kaneko Masaya , Osaki Yuya , Niitsu Kiichi , Cheng Yongzhi , Fathnan Ashif Aminulloh , Wakatsuchi Hiroki
Published: May 2023

In this study, we numerically demonstrate how the response of recently reported circuit-based metasurfaces is characterized by their circuit parameters. These metasurfaces, which include a set of four diodes as a full wave rectifier, are capable of sensing different waves even at the same frequency in response to the incident waveform, or more specifically the pulse width. This study reveals the relationship between the electromagnetic response of such waveform-selective metasurfaces and the SPICE parameters of the diodes used. In particular, we draw conclusions about how the SPICE parameters are related to (1) the high-frequency operation, (2) input power requirement and (3) dynamic range of waveform-selective metasurfaces with supporting simulation results. First, we show that reducing a parasitic capacitive component of the diodes is important for realization of the waveform-selective metasurfaces in a higher frequency regime. Second, we report that the operating power level is closely related to the saturation current and the breakdown voltage of the diodes. Moreover, the operating power range is found to be broadened by introducing an additional resistor into the inside of the diode bridge. Our study is expected to provide design guidelines for circuit-based waveform-selective metasurfaces to select/fabricate optimal diodes and enhance the waveform-selective performance at the target frequency and power level. Our results are usefully exploited to ensure the selectivity based on the pulse duration of the incident wave in a range of potential applications including electromagnetic interference, wireless power transfer, antenna design, wireless communications, and sensing.
Multi-scale semantic enhancement network for object detection
Authors: Guo Dongen , Wu Zechen , Feng Jiangfan , Zou Tao
Published: May 2023

In the field of object detection, feature pyramid network (FPN) can effectively extract multi-scale information. However, the majority of FPN-based methods suffer from a semantic gap between features of various sizes before feature fusion, which can lead to feature maps with significant aliasing. In this paper, we present a novel multi-scale semantic enhancement feature pyramid network (MSE-FPN) which consists of three effective modules: semantic enhancement module, semantic injection module, and gated channel guidance module to alleviate these problems. Specifically, inspired by the strong ability of the self-attention mechanism to model context, we propose a semantic enhancement module to model global context to obtain the global semantic information before feature fusion. Then we propose the semantic injection module to divide and merge global semantic information into feature maps at various scales to narrow the semantic gap between features at different scales and efficiently utilize the semantic information of high-level features. Finally, to mitigate feature aliasing caused by feature fusion, the gated channel guidance module selectively outputs crucial features via a gating unit. By replacing FPN with MSE-FPN in Faster R-CNN, our models achieve 39.4 and 41.2 Average precision (AP) using ResNet50 and ResNet101 as the backbone network respectively. When using ResNet-101-64x4d as the backbone, MSE-FPN achieved up to 43.4 AP. Our results demonstrate that replacing FPN with MSE-FPN significantly enhances the detection performance of state-of-the-art FPN-based detectors.
Exploring the mechanism underlying hyperuricemia using comprehensive research on multi-omics
Authors: Liu Hengrui , Xie Ruolin , Dai Qiongqiong , Fang Ji , Xu Yunbo , Li Bo
Published: May 2023

Hyperuricemia involves multiple complex metabolisms, but no study has conducted a comprehensive analysis using human blood and urine metabolomics for hyperuricemia. Serum and urine samples from 10 patients with hyperuricemia and 5 controls were collected and analyzed by the UHPLC-MS/MS. Differential metabolites were identified and used in the enrichment analysis where we collected hyperuricemia target genes. Hyperuricemia kidney differential expressed genes (DEGs) were identified using RNA-sequencing data from the hyperuricemia mouse model induced by the potassium oxonate. A Mendelian randomization analysis of the association between caffeine-containing drinks and gout risk was conducted. An intersection analysis between hyperuricemia target genes and hyperuricemia kidney DEGs was conducted and the resulting genes were used for network analysis using the STRING. 227 differential metabolites were identified as differential metabolites and were enriched in 7 KEGG pathways, among which “Caffeine metabolism” was the top. The Mendelian randomization analysis revealed a significant association between tea or coffee intake and gout risk. There were 2173 genes that were identified as hyperuricemia kidney DEGs from mouse data. The intersection analysis identified 51 genes for the hyperuricemia regulation network. A hyperuricemia regulation protein network in the kidney was constructed. This study suggested a potential association between caffeine and hyperuricemia and constructed a hyperuricemia regulation network for future reference.
Correlation between bilateral lateral rectus muscle recession and myopic progression in children with intermittent exotropia
Authors: Han Jae Yong , Han Jinu , Han Sueng-Han
Published: May 2023

Although several studies have reported about the relationship between the surgical correction of intermittent exotropia and myopic progression, it remains unclear, unlike the relationship between esotropia and hyperopia. Thus, this retrospective case control study evaluated the impact of bilateral lateral rectus recession in intermittent exotropia on myopic progression. This study included 388 patients with intermittent exotropia. The refractive errors and degree of exodeviation at each follow up period were analyzed. The rate of myopic progression was −0.46 ± 0.62 diopter (D)/year in patients who underwent surgery and −0.58 ± 0.78 D/year in patients who did not, with no significant difference between them (p = 0.254). Patients who had recurrences of more than 10 prism diopters were compared with patients who did not have. The rate of myopic progression was −0.57 ± 0.72 D/year in the recurrent group and −0.44 ± 0.61 D/year in the non-recurrent group, with no significant difference between them (p = 0.237). Patients with fast myopic progression had more recurrence than patients with slow progression (p = 0.042). Moreover, recurrence had a positive correlation with fast myopic progression (OR = 2.537, p = 0.021). Conclusively, the surgical correction of intermittent exotropia did not influence myopic progression.
Surface properties influence marine biofilm rheology, with implications for ship drag
Authors: Snowdon Alexandra A. , Dennington Simon P. , Longyear Jennifer E. , Wharton Julian A. , Stoodley Paul
Published: May 2023

Marine biofilms can increase ship-related drag which has significant environmental and economic consequences. Using Optical Coherence Tomography and rheometry we concluded that surface treatment influences biofilm structure and viscoelasticity which could implicate drag.
Amikacin@SiO2 core@shell nanocarriers to treat pulmonal bacterial infections
Authors: Rutschmann Mark , Redinger Natalja , Schaible Ulrich E. , Feldmann Claus
Published: May 2023

AMC@SiO2 core@shell nanocarriers (AMC: amikacin) with 200 nm AMC core, 20 nm silica shell, and unprecedented AMC load (80%) show high activity against Mycobacterium tuberculosis and Mycobacterium abscessus as pulmonal, often multiresistant bacteria.
BODIPY derivatives modified with carborane clusters: synthesis, characterization and DFT studies
Authors: Zaitsev Andrei V. , Kiselev Sergey S. , Smol'yakov Alexander F. , Fedorov Yury V. , Kononova Elena G. , Borisov Yurii A. , Ol'shevskaya Valentina A.
Published: May 2023

Synthesis and characterization of carborane BODIPYs were described. UV and fluorescence spectra were studied. DFT calculations were performed to study the geometrical structures and chemical reactivity descriptors of synthesized compounds.
Mitomycin C-loaded PTMC15–F127–PTMC15 hydrogel maintained better bleb function after filtering glaucoma surgery in monkeys with intraocular hypertension
Authors: Tu Shu , Luo Ziming , Yang Runcai , Hu Dongpeng , Xian Bikun , Zhao Feng , Ge Jian
Published: May 2023

There is an unmet need for a safer and more effective approach for antimetabolite application to prevent bleb fibrosis after glaucoma filtering surgery.
Aryl fluorosulfates: powerful and versatile partners in cross-coupling reactions
Authors: Saraswat Shelesh Krishna , Seemaladinne Ramanjaneyulu , Abdullah Media Noori , Zaini Halim , Ahmad Nabeel , Ahmad Nafis , Vessally Esmail
Published: May 2023

Aryl fluorosulfates are versatile building blocks in organic synthesis and have gained increasing attention in SuFEx (Sulfur Fluoride Exchange) click chemistry.
Remarkably and stable catalytic activity in reduction of 4-nitrophenol by sodium sesquicarbonate-supporting Fe2O3@Pt
Authors: Xu Xia , Li Mingqiang , Yang Liming , Hu Bing
Published: May 2023

The sodium sesquicarbonate-supporting Fe2O3@Pt can not only prevent the aggregation of pt clusters and Fe2O3 nanoparticles, but also ensure the synergistic effect between Pt and Fe, and improve the catalytic activity for 4-NP reduction.
Tuning of scleroglucan adsorption on carbonate surfaces via grafting alkyl side chains of different lengths: a theoretical and experimental study
Authors: Shirdast Abbas , Davoodi Behnam , Aalaie Jamal , Zhang Pengfei , Sharif Alireza
Published: May 2023

Adsorption of alkyl-grafted scleroglucans (Sclg) on carbonate surfaces is modeled by an extended SCF theory, which well predicts experimental surface excess data. Modified Sclgs adsorption increases with alkyl length, temperature and salt addition.
Relationship between the intermolecular interactions of carbonyl (PC) with nitrile (HNBR) functional groups and the flash point of a gel polymer electrolyte
Authors: St-Antoine Caroline , Lepage David , Foran Gabrielle , Prébé Arnaud , Aymé-Perrot David , Rochefort Dominic , Dollé Mickaël
Published: May 2023

Flash point temperatures of HNBR–PC and HNBR–PC–LiTFSI gel polymer electrolytes with different nitrile content are reported. Molecular interactions were found to impact gel flammability.
Thermocatalytic and photocatalytic chemoselective reduction of cinnamaldehyde to cinnamyl alcohol and hydrocinnamaldehyde over Ru@ZnO/CN
Authors: Chauhan Arzoo , Ghalta Rajat , Bal Rajaram , Srivastava Rajendra
Published: May 2023

Ru-decorated ZnO/CN nanocomposite enables chemoselective reduction of cinnamaldehyde to cinnamyl alcohol using formic acid and photocatalytic reduction to hydrocinnamaldehyde with H2.
Prognostic value of the S100 calcium-binding protein family members in hepatocellular carcinoma
Authors: Wei Ran , Feng Ou Qi , Hui Yao Ze , Huang Xiaohui , Ping Li Sheng
Published: May 2023

Hepatocellular carcinoma (HCC) remains a crucial public health problem around the world, and the outlook remains bleak. More accurate prediction models are urgently needed because of the great heterogeneity of HCC. The S100 protein family contains over 20 differentially expressed members, which are commonly dysregulated in cancers. In the present study, we analyzed the expression profile of S100 family members in patients with HCC based on the TCGA database. A novel prognostic risk score model, based on S100 family members, was developed using the least absolute shrinkage and selection operator regression algorithm, to analyze the clinical outcome. Our prediction model showed a powerful predictive value (1-year AUC: 0.738; 3-year AUC: 0.746; 5-year AUC: 0.813), while two former prediction models had less excellent performances than ours. And the S100 family members-based subtypes reveal the heterogeneity in many aspects, including gene mutations, phenotypic traits, tumor immune infiltration, and predictive therapeutic efficacy. We further investigated the role of S100A9, one member with the highest coefficient in the risk score model, which was mainly expressed in para-tumoral tissues. Using the Single-Sample Gene Set Enrichment Analysis algorithm and immunofluorescence staining of tumor tissue sections, we found that S100A9 may be associated with macrophages. These findings provide a new potential risk score model for HCC and support further study of S100 family members in patients, especially S100A9.
Static reinforcement and vibration reduction of structures using topology optimization
Authors: Burri Sylvain , Legay Antoine
Published: May 2023

This paper presents a topology optimization formulation based on the Solid Isotropic Material with Penalization (SIMP) method and solved by the Modified Optimality Criteria (MOC) algorithm. It addresses mechanical design problems such as structural reinforcement adding elastic material or vibration reduction using viscoelastic layers. The aim is thus to attach on a pre-existing given structure a design domain in order to improve the behavior of this elastic structure, according to an objective function. This can be useful when one wants to use, for example, additive manufacturing to reinforce a pre-existing structure or to maximize structural damping. Two objective functions are tested in both linear statics and dynamics: a compliance based objective function and a displacement based one. In the dynamic case, written in the frequency domain, the two proposed objective functions include the viscoelastic material model (a Zener fractional derivative one) used to fill the design domain. The displacement criteria is developed using a general formula able to take into account as many degree of freedom as necessary. Finally, some applications based on beams and CubeSat-like structures are shown in this article. The proposed examples show that in both statics and dynamics, the optimization of a restrained design domain attached to an existing structure can improve its behavior: stiffness improvement or vibration reduction.
British Stress Management Standards Approach in the Post-Epidemic Era and Its Insight on Psychological Health Education
Authors: Yajun Fang
Published: May 2023

In 2019, British Health and Safety Administration released a report on how to cope with work stress, which proposed stress management. standards approach. Through a structured analysis of the stress management standards approach, this paper clarifies its main connotation and key issues in implementation, and explores its important significance. It found that British standards approach to stress management includes procedures of organizational preparation, risk identification, injury determination, plan implementation, and monitoring of action, with embedded standards of requirements, controls, support, roles, change, and relationship management. It promotes people’s awareness of stress and its effects to a certain extent. British stress management standards approach in the post-epidemic era enlightens people: psychological health education must guide children to discover sources of stress and restore their inner world; Help children to recognize stress injuries and protect their physical and mental safety; Participate in children’s stress relief actions to enhance children’s symbiotic ability; Give full play to children’s initiative in understanding questions and construct children’s reflective life.
Digital economic and circulation industry -- The mediator effect based on green technologic innovation
Authors: Liu Liangcan , Li Xiang , Wang Jin
Published: May 2023

So as to explore the mediator effect of green technologic innovation on the impact of digital economic on circulation industry, based on the panel data of 30 provinces in China from 2011 to 2019, this paper constructs a panel fixed effect model and a mediator effect model for empirical analysis. The results show that the digital economic significantly boosts the advance of the circulation industry; through the mediator effect model test, it is found that the digital economic can boost the advance of the circulation industry through green technologic innovation, and the mediator effect is 57.28 %. Finally, from the aspects of strengthening green technologic innovation, talent support, improving digital economic infrastructure and policy support, this paper puts forward some suggestions on promoting the advance of circulation industry by digital economic.
The Introduction and Application of Immersive Experience by Museum Exhibition in Space Reconstruction
Authors: Hou Shashan
Published: May 2023

Based on the necessity of museum exhibition with introduction of immersive experience in spatial reconstruction, this paper explores the ideas and application methods of museum exhibition with introduction of immersive experience in spatial reconstruction on the basis of analyzing the value, significance and demand of museum exhibition introducing immersive experience in spatial reconstruction.
Analysis of Barbie Dolls’ Low Sales Volume in China
Authors: Lin Sizhu
Published: May 2023

Barbie dolls are popular in many countries, and this toy brand has made a lot of profits for Mattel, the world’s largest toy company that owns a large number of well-known toy brands including Barbie. The USA is the largest market for Barbie dolls, and the sales of Barbie dolls in the USA market account for 56.52% of the total. However, in China, Barbie dolls’ sales volume does not live up to expectations. In this paper, by using Hofstede’s five dimensions, the author analyzed the cultural differences between China and the USA, which indicates that the cultural diversity between China and the USA, such as power distance and individualism/collectivism, can influence Barbie dolls’ sales volume. Based on this analysis, the author suggested that Mattel should change its strategies in localization and advertising, so as to improve the sales volume of Barbie dolls in China’s market.
Analysis and Research on Influence Mechanism of High-Quality Development Based on Economic Big Data Analysis with Artificial Intelligence
Authors: Liu Liangcan , Huang Yatong , Wang Jin
Published: May 2023

With the progress of science and technology, artificial intelligence plays a vital role in the procedure of high quality economic growth. By the Bartik instrumental variable method, this paper research the level of artificial intelligence in 30 provinces and propose an framework to examine the correlation between artificial intelligence technology and economy. The results show that artificial intelligence technology has significantly promoted high quality economic growth, and the level of urbanization has enhanced the role of artificial intelligence in hoisting high-quality development. This result helps to clarify the economic effects of artificial intelligence and offers a theoretical reference for improving the science and technology evaluation system and data for studying the effect between artificial intelligence and economy.
Application of human-computer interaction technology in rehabilitation treatment of mental and nervous system diseases
Authors: Cai Haolin , Ding Xiaozhen , Zhang Siliang
Published: May 2023

With the development of human-computer interaction technology, how to use intelligent, natural and efficient interaction to promote the development of medicine has gradually become a hot topic of research. Mental and nervous system diseases have a great impact on the quality of people’s daily life. The use of human-computer interaction technology to rehabilitate mental and nervous system diseases can improve the treatment effect and reduce the work intensity of doctors, so it has far-reaching clinical significance. This paper first describes the development process of human-computer interaction technology, and then focuses on the application of human-computer interaction technology such as interactive pen, voice interaction, gait/gesture interaction and physiological computing in the rehabilitation treatment of mental and nervous system diseases, which has important practical significance for improving the use of computer technology to improve traditional medical treatment methods.
Analysis of Influencing Factors of Economic Benefits of Metaverse Digital Collections
Authors: Mao Yuyu
Published: May 2023

In recent years, the metaverse industry has gradually expanded, and the economic benefits brought by the metaverse blockchain industry, including digital collections, have become more obvious. For this economic benefit, the researchers took the Opensea platform, which is representative of digital collections, as an example. They took the economic benefit index of the platform as an explanatory variable, comprehensively used the multiple regression model to analyze and test, and used the stepwise regression method to adjust and correct the model. The analysis results show that the economic benefit index of digital collections shows a clear proportional relationship with the number of NFT digital collections sold and the scale of people’s consumption. From the perspective of economics, some economic law problems of the digital collection industry are explained, and some conclusions are made for the development of the digital collection industry and suggestions are given for reference.
Research on Medium-term Momentum Effect and Reversal Effect of The Science and Technology Innovation Board Stock
Authors: Renhao Gu
Published: May 2023

Since the opening of the Science and Technology Innovation Board(STAR Market) in 2019, it not only plays an important role in the strategic layout of science and technology development of China, but also has been widely concerned by investors, who have generated the demand to study the stock price trend of the stocks affiliated to the STAR Market. Because the listed companies on the Science and Technology Innovation Board involve relatively concentrated industries, have relatively close listing time and operate in a similar environment, their stock price trends show similar characteristics. Based on the characteristics of the stocks in the STAR Market, this paper sampled and grouped the STAR Market stocks according to the medium-term observation data, and formed an arbitrage portfolio to explore the momentum effect and reversal effect within 3-12 months. This study provides ideas for constructing feasible investment strategies.
Research on the Financial Management Transformation of Chinese Enterprises in the Era of Digital Economy
Authors: Wang Derong
Published: May 2023

Since the modern world has entered into the era of the digital economy, both government departments and enterprises in the general background of the popularization of information technology must figure out how to change the management mode in order to adapt to the new social and economic environments. This will make it easier for agencies to serve the public while also giving businesses an advantage over rivals. Sound financial management is one of the most effective means to encourage an enterprise’s continued development. Financial management that supports social development can further boost an organization’s competitiveness and efficiency, putting it above other organizations of a similar nature in the social development marketplace. Now there are still some enterprises that do not understand the significance of enterprise financial management transformation and do not realize that financial management in the digital economy era must be transformed from the traditional management mode to adapt to the transformation of the digital economy era. This paper first provides a brief explanation of the fundamental concept behind the digital economy, then examines the significance of financial transformation, follows by a third analysis of the issues with conventional financial management problems, and offers several practical approaches to enterprise financial transformation.
Effect of Perceived Usefulness and Perceived Ease of Use on University Students’ Willingness for online purchase
Authors: Wang Xin
Published: May 2023

As an emerging form of consumption, online shopping has increasingly exerted more implications on the consumer market. This paper surveys a sample of SEGI university students, examining the implication of the perceived usefulness (PU) and perceived ease of use (PEU) on the college students’ willingness for online purchase. The results of the questionnaire were empirically analyzed by SPSS software. It shows that the PU can significantly and positively affects the willingness for online purchase of SEGI university students; and PEU can also significantly enhanced the willingness for online purchase of SEGI university students. Hence, this study not only enriches the theory of online consumption behavior, but also provides a scientific reference for online sellers to improve their service quality.
Research on the relationship between economic growth, financial development scale and financial output in Shanxi Province
Authors: Sun Rong
Published: May 2023

In today’s economic society, the development of the financial industry plays an increasingly important role in promoting the economy. Throughout the world and domestic provinces, economic development must be accompanied by the development of the financial industry, and the development of the financial industry will further promote economic growth. Therefore, this paper studies the factors promoting economic development from the perspective of financial industry. Combined with the economic situation and the current situation of the financial industry in Shanxi Province, using the time series data from 2000 to 2019, this paper analyzes the relationship between the change of economic growth and the change of financial output and the scale of financial development, constructs a VAR model, and carries out Granger causality test and variance decomposition. The results show that for Shanxi Province, the scale of financial development can promote economic growth and is a two-way causality, while financial output is not the cause of economic growth, and its impact has a negative response to economic growth. Finally, according to the research results, this paper puts forward some suggestions to improve the scale of financial development to promote the economic growth of Shanxi Province.
Durchführbarkeit und Ergebnisse einer psychotherapeutischen Gruppentherapie für Patienten mit Fatigue sowie emotionalen und kognitiven Störungen in Folge einer COVID-19-Erkrankung
Authors: Schilling Thomas M. , Klein Johanna F. , Aschenbrenner Steffen , Drengner Anne , Randerath Jennifer , Weisbrod Matthias
Published: May 2023

Bis zu 10 % aller symptomatisch Infizierten berichten noch Monate nach einer COVID-19-Erkrankung von anhaltenden gesundheitlichen Beeinträchtigungen. Auf neuropsychiatrischem Fachgebiet gehören Fatigue sowie kognitive und emotionale Störungen zu den häufigsten Beschwerden. Evidenzbasierte Therapiemethoden für Post-COVID-Patienten mit diesen Beeinträchtigungen fehlen. In der vorliegenden Studie wurde die Durchführbarkeit eines neu entwickelten Gruppentherapieprogrammes für Patienten mit Fatigue, emotionalen und kognitiven Störungen in Folge einer COVID-19-Erkrankung untersucht.

24 Patienten mit den Diagnosen ICD-10 F06.8 und U0.09 nahmen im Mittel 13 Monate nach ihrer akuten COVID-Erkrankung an der Gruppentherapie teil. Vor und nach der Gruppentherapie wurden die Teilnehmer klinisch und neuropsychologisch untersucht. Die Gruppentherapie erfolgte online und bestand aus 8 wöchentlichen Sitzungen, die psychoedukative und psychotherapeutische Elemente sowie therapeutische Übungen zu den Themen Fatigue und Pacing, Achtsamkeit, psychische Störungen, kognitive Fähigkeiten sowie Sport bei Post-COVID umfassten. Die Teilnahmequote an der Gruppe war mit 7,25 von 8 Sitzungen hoch und die Teilnehmer bewerteten die Gruppentherapie als überwiegend hilfreich (M = 7,78 von 10 Punkten). Über den Zeitraum der Untersuchung hinweg besserte sich bei den Patienten die selbst eingeschätzte Fatigue, Alltagskompetenz, Depressivität und die subjektiv wahrgenommene kognitive Leistungsfähigkeit sowie die objektiv erfasste Leistung in den neuropsychologischen Aufmerksamkeitstests.

Das neu entwickelte Gruppentherapieprogramm für Patienten mit Fatigue sowie emotionalen und kognitiven Störungen in Folge einer Infektion mit SARS-CoV-2 wird gut angenommen, positiv bewertet und ist online durchführbar.
Versorgung gerontopsychiatrischer Patienten am Lebensende
Authors: Seethaler Magdalena , Just Sandra , Stolarek Johann , Hecker Cordula , Rahaus Janina , Hagedorn Udo , Stötzner Philip , Bermpohl Felix , Brandl Eva Janina
Published: May 2023

Patienten mit psychischen und terminal somatischen Erkrankungen stellen eine klinische Herausforderung dar. Oft führt die psychiatrische Symptomatik zu eingeschränkter intensiver/palliativmedizinischer Versorgung. Bislang wurden kaum Versorgungsansätze für psychiatrisch kranke Patienten am Lebensende publiziert.

Vorliegende Publikationen werden zunächst in einem narrativen Review zusammengefasst. Im Anschluss wird das Versorgungskonzept in der Psychiatrischen Universitätsklinik der Charité im St. Hedwig-Krankenhaus in Berlin vorgestellt. Bestandteile sind unter anderem die Etablierung einer ethischen Visite sowie eines strukturierten Therapieplans in den Klinikalltag, um eine individualisierte Begleitung in dieser komplexen Erkrankungs- und Versorgungssituation zu ermöglichen.
Einfach viel bewegt – Lagerungsmanagement rund um die Uhr
Authors: Ackermann Wencke
Published: May 2023

In Bauchlage spielen, sich auf dem Rollbrett fortbewegen, im Stehen die Hände frei haben: Mithilfe eines guten Lagerungsmanagements können Therapeut*innen Kindern mit körperlichen Einschränkungen mehr Teilhabe ermöglichen und ihre gesunde körperliche Entwicklung fördern.
Therapierefraktäre Epilepsia partialis continua während einer SARS-CoV-2-Infektion
Authors: Kozian Ralf , Chaaban Alexandra
Published: May 2023

Wir berichten über eine 87-jährige Patientin, die vor 2 Jahren an einem Ovarialtumor erkrankt war. Therapeutisch war eine beidseitige Adnexektomie erfolgt. 2 Jahre später trat bei der Patientin eine Epilepsia partialis continua (Kojewnikoff-Epilepsie) auf bei gleichzeitig vorliegendem paraneoplastischem Syndrom mit positivem Anti-Yo-Nachweis im Liquor und während einer SARS-CoV-2-Infektion.
The Prevalence of Confidential Content in Adolescent Progress Notes Prior to the 21st Century Cures Act Information Blocking Mandate
Authors: Bedgood Michael , Rabbani Naveed , Brown Conner , Goldstein Rachel , Carlson Jennifer L. , Steinberg Ethan , Powell Austin , Pageler Natalie M. , Morse Keith
Published: May 2023

Background The 21st Century Cures Act information blocking final rule mandated the immediate and electronic release of health care data in 2020. There is anecdotal concern that a significant amount of information is documented in notes that would breach adolescent confidentiality if released electronically to a guardian.

Objectives The purpose of this study was to quantify the prevalence of confidential information, based on California laws, within progress notes for adolescent patients that would be released electronically and assess differences in prevalence across patient demographics.

Methods This is a single-center retrospective chart review of outpatient progress notes written between January 1, 2016, and December 31, 2019, at a large suburban academic pediatric network. Notes were labeled into one of three confidential domains by five expert reviewers trained on a rubric defining confidential information for adolescents derived from California state law. Participants included a random sampling of eligible patients aged 12 to 17 years old at the time of note creation. Secondary analysis included prevalence of confidentiality across age, gender, language spoken, and patient race.

Results Of 1,200 manually reviewed notes, 255 notes (21.3%) (95% confidence interval: 19–24%) contained confidential information. There was a similar distribution among gender and age and a majority of English speaking (83.9%) and white or Caucasian patients (41.2%) in the cohort. Confidential information was more likely to be found in notes for females (p < 0.05) as well as for English-speaking patients (p < 0.05). Older patients had a higher probability of notes containing confidential information (p < 0.05).

Conclusion This study demonstrates that there is a significant risk to breach adolescent confidentiality if historical progress notes are released electronically to proxies without further review or redaction. With increased sharing of health care data, there is a need to protect the privacy of the adolescents and prevent potential breaches of confidentiality.
Computed Tomography Scan of the Aorta to Predict Type B Aortic Dissection
Authors: Lee Han , Zhou Qing , Zhang Haitao , Jin Min , Tang XinLong , Li Kai , Tuoerxun Tayierjiang
Published: May 2023

Background The purpose of this study is to find the high-risk morphological features in type B aortic dissection (TBAD) population and to establish an early detection model.

Methods From June 2018 to February 2022, 234 patients came to our hospital because of chest pain. After examination and definite diagnosis, we excluded people with previous cardiovascular surgery history, connective tissue disease, aortic arch variation, valve malformation, and traumatic dissection. Finally, we included 49 patients in the TBAD group and 57 in the control group. The imaging data were retrospectively analyzed by Endosize (Therevna 3.1.40) software. The aortic morphological parameters mainly include diameter, length, direct distance, and tortuosity index. Multivariable logistic regression models were performed and systolic blood pressure (SBP), aortic diameter at the left common carotid artery (D3), and length of ascending aorta (L1) were chosen to build a model. The predictive capacity of the models was evaluated through the receiver operating characteristic (ROC) curve analysis.

Results The diameters in the ascending aorta and aortic arch are larger in the TBAD group (33.9 ± 5.9 vs. 37.8 ± 4.9 mm, p < 0.001; 28.2 ± 3.9 vs. 31.7 ± 3.0 mm, p < 0.001). The ascending aorta was significantly longer in the TBAD group (80.3 ± 11.7 vs. 92.3 ± 10.6 mm, p < 0.001). Besides, the direct distance and tortuosity index of the ascending aorta in the TBAD group increased significantly (69.8 ± 9.0 vs. 78.7 ± 8.8 mm, p < 0.001; 1.15 ± 0.05 vs. 1.17 ± 0.06, p < 0.05). Multivariable models demonstrated that SBP, aortic diameter at the left common carotid artery (D3), and length of ascending aorta (L1) were independent predictors of TBAD occurrence. Based on the ROC analysis, area under the ROC curve of the risk prediction models was 0.831.

Conclusion Morphological characteristic including diameter of total aorta, length of ascending aorta, direct distance of ascending aorta, and tortuosity index of ascending aorta are valuable geometric risk factors. Our model shows a good performance in predicting the incidence of TBAD.
Preparation and Physicochemical Properties of Nanostructured Halide Perovskites
Authors: Dai Yitao , Lee Jinho , Tüysüz Harun
Published: May 2023

Perovskite-type metal halides are gaining intense research interest owing to their promising applications in optoelectronic devices such as solar cells, phototransistors, lasers, light-emitting diodes, and recently in photocatalysis. Herein, state-of-the-art selected synthetic methodologies, which include solvent-induced precipitation, hot injection, spin coating, thermal and chemical vapor deposition, ligand mediation, and templating, are discussed to prepare a range of nanostructured halide perovskites with tunable structural properties. By using the appropriate synthetic protocol, the physicochemical properties, textural parameters, size, shape, and morphologies of the halide perovskite can be tuned from colloidal quantum dots to photonic crystals. Fundamental aspects of structure–property correlations of the halide perovskites through diverse analytical tools, like optical absorption, photoluminescence, x-ray diffraction, and electron microscopy, are evaluated. Finally, a perspective on the main challenges and bottlenecks of halide perovskites from the structural and synthetic points of view is presented.
Higher-Level Thinking in Introductory Physics Laboratories
Authors: Baker Blane
Published: May 2023

The purpose of laboratory work is to creatively explore nature and its underlying principles. To become proficient as laboratory investigators, students must engage as practicing scientists. Thus, assignments discussed here focus on designing experiments, critically analyzing data, and ultimately building knowledge. Establishing a culture of investigation also models the students on how scientists do their work and increases students’ confidence.
Higher-Level Thinking in Liberal-Arts Science Courses
Authors: Baker Blane
Published: May 2023

General science courses are ideal learning environments for developing students’ skills as critical thinkers. Instructors in general science courses often focus on broader learning goals as opposed to the mastery of large quantities of the content. Thus, assignments addressing higher-level thinking are ideal in these settings. With practice, students improve their critical thinking skills so that they can thrive in their professions and roles as engaged citizens.
Churg-Strauss syndrome with cutaneous and neurological manifestations preceding asthma
Authors: Kawakami T , Soma Y , Hosaka E , Mizoguchi M.
Published: May 2023

This article does not have an abstract.