bluuebunny/crossref_metadata_2025_split huggingface dataset:
Emotional Concept of <i>Abneigung</i>: Core Features and Lexical Representations
Authors: Korogodina I. V. 
Published: March 2023

The present research featured a complex description of non-verbal and verbal representations of the emotional concept of Abneigung (antipathy ) in the German linguistic worldview. The research objective was to analyze the linguistic representations of the core conceptual signs, as well as to describe their functional and special characteristics. The study covered lexemes that designate the concepts of emotion and antipathy in the modern German, as well as bilateral metaphors and sustained metaphors. The author defined the conceptual status of Emotion and uncovered the actual linguistic nomination and mental representation of Abneigung. The core sings of Abneigung, represented by primary and secondary nominations, appeared to be Emotion (emotion), Ekel (disgust), and Hass (hate). The metaphoric analysis revealed physiological manifestations behind the basic conceptual sign Emotion. For Ekel, it was agent, object, and event targeting; for Hass, it was intensity and agent targeting. The conceptual sign Emotion was represented only by primary nomination, whereas Ekel and Hass were represented by both primary and secondary nominations, i. e., bilateral and sustained metaphors.
Associative Image of the Moon in the Chinese Language Consciousness: Experimental Psycholinguistic Research
Authors: Wang Zh. 
Published: March 2023

The article describes a psycholinguistic experiment that examined the associative image of the Moon in the Chinese language consciousness. The objective of the study was to determine the associative content of the image, as well as the national and cultural grounds behind the internalization of its meanings. The free associative experiment was conducted in November 2022 and involved 550 students from 325 universities in China. The associative field was described using the semantic gestalt method developed by Yu. N. Karaulov. The data obtained were statistically processed using the SPSS 26.0 and Microsoft Excel 2016 software. These three methods combined provided a full description of the content and structure of the associative gestalt. The experiment confirmed the hypothesis that the Moon occupies a central position among the traditional symbols of art and literature. In the linguistic consciousness of Chinese youth, the type of association tends to be paradigmatic: they associated the image of the Moon with family and homeland. It also appeared to evoke a stable negative emotional evaluation. The association mechanisms were caused by both traditions and actual emotional states.
Indian Summer Monsoon Rainfall in a changing climate: a review
Authors: Sahastrabuddhe Rishi , Ghausi Sarosh Alam , Joseph Jisha , Ghosh Subimal 
Published: March 2023

AbstractIndian Summer Monsoon Rainfall (ISMR) is one of the most well-documented areas of hydrometeorology; however, the processes associated with ISMR are not well understood. This attributes to the complexities associated with ISMR at multiple spatio-temporal scales. This further results in inconsistencies across the literature to assess the impacts of global warming on the monsoon, though this has huge relevance as a huge population of South Asia is dependent on the same. Here, we review and assess the existing literature on the Indian monsoon, its variability, and its trajectory in a warming scenario. We further synthesize the literature on its impacts on the hydrology of major river basins in South Asia. We also identify a few research questions, addressing which will add value to the understanding of the Indian monsoon and the associated water cycle. We have highlighted that there is a significant lack of understanding of how different large-scale and regional factors affect ISMR at different timescales. These impacts, in turn, get translated into hydrology and water sector in India. There is a need to know where we stand to combat the impacts of climate change on ISMR, which can be translated to adaptation by policy-making processes and water management practices in India.
Filling streamflow data gaps through the construction of rating curves in the Lake Tana sub-basin, Nile basin
Authors: Haile Alemseged Tamiru , Geremew Yaregal , Wassie Sitot , Fekadu Addisalem Genet , Taye Meron Teferi 
Published: March 2023

Abstract
In the past decade, streamflow data remain inaccessible for most river gauges in Ethiopia due to a lack of updated stage–discharge relationships, also called rating curves. In this study, researchers and hydrologic technicians collaborated to fill the recent streamflow data gaps at three gauging stations in the Lake Tana sub-basin of the Nile River. We conducted extensive field campaigns to improve the coverage of stage–discharge measurements for rating curve development. We evaluated the rating curve uncertainty during the time of its establishment and the sensitivity of the rating curves to sample size. The stage–discharge measurements conducted by the hydrological agency during the period 2016–2020 were found inadequate in number and coverage to establish reliable rating curves. Hence, converting recent water level measurements to discharge data was made possible using the rating curves developed in this study. The converted discharge data will be accessible to researchers to investigate the sub-basin's hydrology. Our study emphasizes the need to improve the stage–discharge measurement frequency to keep up with frequent changes in the morphology of the rivers' channels. The study demonstrated that collaboration between the data provider and data users can improve streamflow data availability and accessibility, which has become an increasing global challenge.
Understanding the conflict and cooperation in the Yarlung Tsangpo-Brahmaputra River Basin under climate change: a quantitative view based on water events
Authors: Zhao Yue , Zhao Tingting , Xiong Xuefei , Sun Yukun 
Published: March 2023

Abstract
The Yarlung Tsangpo-Brahmaputra River Basin (YBRB) has long been troubled by the competitive water development activities of India, China, and Bangladesh. While energy thirst and food security keep challenging the riparian States, climate-related changing monsoon pattern increases the potential for conflicts over scarce water. Based on a quantitative analysis of 400 water events spanning the years 1958–2020 of the basin, this research tries to provide a holistic understanding of the conflict and cooperation and explore the possibility of water war or ‘climate-based’ water war in the basin; and thus formulate more precise recommendations to help prevent and mitigate conflicts. The results of this quantitative research surprisingly reveal that, instead of being main causes of bilateral conflict in the basin, the ‘energy imperative’ and the ‘climate imperative’ have become two major catalysts for water cooperation in the basin, water war is therefore highly unlikely. However, current bilateral cooperation on climate change mainly involves ‘climate adaptation’; few efforts have yet been made cooperatively in the field of ‘climate mitigation’; while traditional disputes around food and energy persist, the imperative of ecological protection and the lack of attention to cooperative climate mitigation are set to intensify potential conflict in the YBRB.
Measuring the environmental performance of urban water systems: a systematic review
Authors: Boldrin Mirtes Tatiane Neisse , Formiga Klebber Teodomiro Martins 
Published: March 2023

Abstract
This systematic review aims to understand how previous studies have determined the environmental performance of urban water systems (UWSs) and to identify the main environmental impacts caused by these systems and their respective sources. A systematic review strategy based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines was used. The publications were selected by searching the Scopus and Web of Science databases last updated on 8 February 2022 and according to the eligibility criteria that were set for the present study. A total of 25 publications were analyzed in their entirety. Six publications presented methodological contributions by proposing frameworks and models for the analysis of environmental and sustainability parameters of urban water and sewage systems. Nineteen publications conducted case studies where life cycle assessment (LCA) and mass balance methods were employed. The categories of environmental impacts most frequently analyzed in the publications included climate change, eutrophication, acidification, and human toxicity. Moreover, the sources of these negative impacts were identified as high electricity consumption, chemical use, and nutrient discharge into the environment. The present review analyzes the contributions to each stage of the systems that are associated with the characteristics of the systems and the level of detail of the used data.
Diverse Role of SNARE Protein GS28 in Vesicle Trafficking and Diseases
Authors: Liu Pengfei , Li Miaomiao , Liu Rongrong , Zhao Yaping 
Published: March 2023

Abstract:
Golgi SNARE, with a size of 28 kD (GS28), is a transmembrane protein and mainly localizes
to the Golgi apparatus. It is considered a core part of the Golgi SNARE complex in the Endoplasmic
Reticulum (ER)-Golgi transport and regulates the docking and fusion of transport vesicles effectively.
In recent years, increasing studies have indicated that various intracellular transport events are regulated
by different GS28-based SNARE complexes. Moreover, GS28 is also involved in numerous functional
signaling pathways related to different diseases via interacting with other SNARE proteins and
affecting protein maturation and secretion. However, the precise function of GS28 in different disease
models and the regulatory network remains unclear. In this review, we mainly provide a concise overview
of the function and regulation of GS28 in vesicle trafficking and diseases and summarize the signaling
pathways regarding potential mechanisms. Although some critical points about the significance
of GS28 in disease treatment still need further investigation, more reliable biotechnical or pharmacological
strategies may be developed based on a better understanding of the diverse role of GS28 in vesicle
trafficking and other biological processes.
The Principal Components of Autonomic Dysfunction in Fibromyalgia
Assessed by the Refined and Abbreviated Composite Autonomic Symptom
Score
Authors: Puri Basant K. , Lee Gary S. 
Published: March 2023

Background:
We have recently confirmed that non-pain autonomic dysfunction
symptoms occur in fibromyalgia and can be assessed with the 31-item Composite Autonomic
Symptom Score (COMPASS 31) instrument. Fibromyalgia patients have been found to have higher
scores than matched controls across all six domains of this instrument.

Objectives:
To analyse the principal components of the autonomic COMPASS 31 domain scores in
fibromyalgia patients to understand better the fundamental dimensions of dysautonomia in this disorder.

Methods:
A principal component analysis of fibromyalgia autonomic domain scores was carried
out using a varimax orthogonal rotation with decomposition being based on the correlation matrix
and setting a threshold of greater than one for the eigenvalues.

Results:
Three mutually orthogonal principal components, accounting for over 80% of the total
variance, were identified. The first was a function of the secretomotor, orthostatic intolerance and
pupillomotor domains; the second was a function of the vasomotor and urinary bladder domains;
and the third was a function of the gastrointestinal and orthostatic intolerance domains. There was a
positive correlation between symptom domain scores of the Revised Fibromyalgia Impact
Questionnaire and the first principal component scores (rs = 0.536, p = 0.006).

Conclusion:
This analysis has reduced the dimensionality of autonomic dysfunction in
fibromyalgia patients from six to three. The internal structure of the fibromyalgia dysautonomia
data reflected by these results may help in the elucidation of the aetiology of this complex and
difficult-to-treat disorder.
The Attitude and Perception of Dental and Medical Interns Toward Dental Smile Enhancing Treatments
Authors: Aljulayfi Ibrahim S. , Alqahtani Abdullah S. , Binaljadm Tahani M. , Alkhurayef Ibrahim A. , Asiri Ali M. , Alheneshi Dhafer I. 
Published: March 2023

Background:
Perception of beauty is different from one individual to another, and this may influence their desire for aesthetic treatment. There are many studies that compared dentists to the general population’s perception of smile treatments. However, only a few studies were carried out to compare the perception of fresh graduate dentists with a comparable group of another medical medical background.

Objective:
This study aimed to compare how medical and dental interns perceive dental smiles and how much they ask for dental enhancement treatments.

Methods:
A cross-sectional study targeting dental and medical interns in the kingdom of Saudi Arabia using an online survey. An online questionnaire was formulated and distributed through social media. Comparisons between groups were made using the Chi-square test with a p-value of significance kept under 0.05.

Results:
204 participants responded to the survey, 107 dental and 97 medical interns (52.5%, 47.5%), respectively. When the participants were asked to rate their satisfaction with their smiles, almost 60% of the dental interns rated their smiles 8/10 or more on a scale of (1-10). When they were asked about the cause of the dissatisfaction, their responses were varying. About 84% of dental interns reported having complications of varying sources because of the smile-enhancing treatment, compared to only 50% of the medical interns.

Conclusion:
Dental and medical interns interacted in the same manner toward smile-enhancing treatments. Dental interns seem to show more satisfaction with their smiles. They also showed more ability to spot and identify the harmful effects of those procedures.
Artificial Intelligence–Based Psoriasis Severity Assessment: Real-world Study and Application
Authors: Huang Kai , Wu Xian , Li Yixin , Lv Chengzhi , Yan Yangtian , Wu Zhe , Zhang Mi , Huang Weihong , Jiang Zixi , Hu Kun , Li Mingjia , Su Juan , Zhu Wu , Li Fangfang , Chen Mingliang , Chen Jing , Li Yongjian , Zeng Mei , Zhu Jianjian , Cao Duling , Huang Xing , Huang Lei , Hu Xing , Chen Zeyu , Kang Jian , Yuan Lei , Huang Chengji , Guo Rui , Navarini Alexander , Kuang Yehong , Chen Xiang , Zhao Shuang 
Published: March 2023

Background
Psoriasis is one of the most frequent inflammatory skin conditions and could be treated via tele-dermatology, provided that the current lack of reliable tools for objective severity assessments is overcome. Psoriasis Area and Severity Index (PASI) has a prominent level of subjectivity and is rarely used in real practice, although it is the most widely accepted metric for measuring psoriasis severity currently.

Objective
This study aimed to develop an image–artificial intelligence (AI)–based validated system for severity assessment with the explicit intention of facilitating long-term management of patients with psoriasis.

Methods
A deep learning system was trained to estimate the PASI score by using 14,096 images from 2367 patients with psoriasis. We used 1962 patients from January 2015 to April 2021 to train the model and the other 405 patients from May 2021 to July 2021 to validate it. A multiview feature enhancement block was designed to combine vision features from different perspectives to better simulate the visual diagnostic method in clinical practice. A classification header along with a regression header was simultaneously applied to generate PASI scores, and an extra cross-teacher header after these 2 headers was designed to revise their output. The mean average error (MAE) was used as the metric to evaluate the accuracy of the predicted PASI score. By making the model minimize the MAE value, the model becomes closer to the target value. Then, the proposed model was compared with 43 experienced dermatologists. Finally, the proposed model was deployed into an app named SkinTeller on the WeChat platform.

Results
The proposed image-AI–based PASI-estimating model outperformed the average performance of 43 experienced dermatologists with a 33.2% performance gain in the overall PASI score. The model achieved the smallest MAE of 2.05 at 3 input images by the ablation experiment. In other words, for the task of psoriasis severity assessment, the severity score predicted by our model was close to the PASI score diagnosed by experienced dermatologists. The SkinTeller app has been used 3369 times for PASI scoring in 1497 patients from 18 hospitals, and its excellent performance was confirmed by a feedback survey of 43 dermatologist users.

Conclusions
An image-AI–based psoriasis severity assessment model has been proposed to automatically calculate PASI scores in an efficient, objective, and accurate manner. The SkinTeller app may be a promising alternative for dermatologists’ accurate assessment in the real world and chronic disease self-management in patients with psoriasis.
mHealth to Improve Experience, Adherence to Pharmacological Treatment, and Positive Mental Health in Patients Diagnosed With Femur Fractures: Protocol for a Quasi-Experimental Study
Authors: Marcos Anton Gemma , Puig Llobet Montserrat , Lluch Canut Teresa , Sanchez Ortega Maria Aurelia , Piazuelo Pont Mercè , Moreno-Arroyo MªCarmen 
Published: March 2023

Background
Considering the prognosis of femur fractures worldwide, the ageing of our society, and the problems in adherence to treatment found in these patients, it is believed that mobile health can have a positive impact on the process and quality of care.

Objective
We aim to evaluate the effectiveness of a pharmacological educational nurse intervention with Myplan app with regard to knowledge, adherence to pharmacological treatment, and positive mental health of patients with femur fractures.

Methods
A nonrandomized, quasi-experimental study will be carried out with a pretest-posttest control group. It will include 278 older patients diagnosed with femur fractures, with a Glasgow Coma Scale of 15 and access to mobile devices. Patients with psychological pathologies and cognitive impairment or patients treated in isolation will be excluded. Study variables are as follows: sociodemographic variables (AdHoc Form), patient experience (Patient Experience Questionnaire-15), adherence to pharmacological treatment (Morisky-Green questionnaire), and positive mental health (Positive Mental Health questionnaire). The measurements will be taken 24 hours after admission, upon discharge, and 25 days after discharge.

Results
Enrollment commenced in October 2022. Data collection will be completed in April 2023.

Conclusions
The results of this study will offer evidence of the effectiveness of a pharmacological educational nurse intervention by means of a free smartphone app. If its efficacy is demonstrated and the results are acceptable, it could mean an improvement in the care of patients with femur fractures, and this technology could be used to guide other training interventions in patients with other pathologies.

Trial Registration
ClinicalTrials.gov NCTT05669040; https://clinicaltrials.gov/ct2/show/NCTT05669040

International Registered Report Identifier (IRRID)
DERR1-10.2196/45856
Evaluation of systemic Omega-3 PUFAs effect on orthodontic tooth movement in a rabbit model: RCT
Authors: Gad Asser M. , Soliman Samia O. 
Published: March 2023

ABSTRACT

Objectives
To evaluate the effect of systemic administration of omega-3 fatty acids on orthodontic tooth movement (OTM) with histological analysis.

Materials and Methods
OTM was induced in 20 adult albino New Zealand rabbits, divided into omega-3 and control groups, with nickel-titanium coil springs for 21 days. Omega-3 or saline was given every day via oral gavage during the experimental period. Animals were sacrificed for histomorphometric analysis of alveolar bone remodeling after 21 days of OTM.

Results
A significant difference in OTM amount was found in the third week of OTM with means of 1.445 ± 0.13 and 1.72 ± 0.15 for the experimental and control groups, respectively. Histomorphometric analysis showed a significant reduction in the area of active bone-resorptive lacunae and a significant increase in osteoblastic activity in the omega-3 group after 3 weeks.

Conclusions
Strong evidence of the osteoclastic inhibitory effect of systemic omega-3 was found, which reduced the percentage and amount of OTM.
Psychiatric morbidity in women with previous gestational diabetes mellitus – a nationwide register-based cohort study
Authors: Christensen Maria Hornstrup , Andersen Marianne Skovsager , Rubin Katrine Hass , Aagaard Nohr Ellen , Aalders Jori , Vinter Christina Anne , Jensen Dorte Moeller 
Published: March 2023

<p> </p>
<p><em>Objective</em></p>
<p>To investigate associations between previous gestational diabetes mellitus (GDM) and incident psychiatric morbidity. Additionally, to explore the role of subsequent diabetes mellitus development in psychiatric morbidity risk.</p>
<p><em>Research design and methods</em></p>
<p>A nationwide register-based cohort study including all women delivering in Denmark from 1997 to 2018 was conducted. GDM exposure was based on diagnosis code, whereas psychiatric morbidity outcome was based on diagnosis codes and psychopharmacological medication use. Multiple Cox regression and mediation analyses were performed.</p>
<p><em>Results</em></p>
<p>In a study population of 660,017 women, previous GDM was associated with increased risks of depression based on diagnosis code and/or medication use (adjusted hazard ratio [aHR] 1.22 [95% CI 1.18–1.27]), any psychiatric diagnosis (aHR 1.20 [95% CI 1.13–1.27]), and any psychopharmacological medication use (aHR 1.21 [95% CI 1.17–1.25]). Moreover, risks of depressive and anxiety disorders, as well as antidepressant and antipsychotic medication use were increased, with aHRs ranging from 1.14 [95% CI 1.05–1.25] to 1.32 [95% CI 1.22–1.42]. No associations were found regarding substance use disorders, psychotic disorders, bipolar disorders, postpartum psychiatric disease, and anxiolytic medication use. Psychiatric morbidity risk was higher in women with than without subsequent diabetes development. However, GDM history only impacted risk estimates in women without subsequent diabetes. Subsequent diabetes mediated 35-42% of the associations between GDM and psychiatric morbidity.</p>
<p><em>Conclusions</em></p>
<p>GDM was associated with increased psychiatric morbidity risk. Subsequent diabetes development played a significant role in the future psychiatric morbidity risk after GDM, although it only partly explained the association.</p>