bluuebunny/crossref_metadata_2025_split huggingface dataset:
Cx43 in the damage of iPSC-CM induced by S-band and X-band microwave exposure
Authors: Yin Yue , Xu Xinping , Li Dayan , Yao Binwei , Wang Haoyu , Zhao Li , Wang Hui , Dong Ji , Zhang Jing , Peng Ruiyun 
Published: August 2022

Abstract
Background
The heart is one of the major organs affected by microwave radiation and its effects have been extensively studied. In order to make the research model closer to human, we used iPSC-CM as the cell injury model to explore the biological effect of iPSC-CM injury after microwave radiation.
Results
First, the iPSC-CM was continuously cultured for 7 d after recovery, which was the best state for the cell model establishment. Second, to model the damage, cells were separated into four groups and exposed to single or composite S- and X-band microwave radiation sources with an average power density of 30 mW/cm2. After that, ELISA was used to detect the contents of myocardial enzymes and injury markers in the culture medium, and it was discovered that the contents increased after radiation. TEM and SEM were used to examine the aberrant ultrastructure. The abnormal changes in mitochondrial structure, an increase in the number of autophagosome-like bodies, and cell membrane rupture were discovered to be the most common signs of cell ultrastructural damage. The OCR was used to assess mitochondrial respiration. Mitochondrial function was discovered to be aberrant, with lower respiratory rate and ATP production. Wb, qRT-PCR, and immunofluorescence were used to detect expression and distribution of Cx43. The results showed that the expression of Cx43 was decreased, and the distribution of Cx43 at the junction of cell-cell was decreased. The composite exposure group was more severely harmed than the single exposure group.
Conclusions
Single or composite exposure to 30 mW/cm2 of S- and X-band microwave caused damage of structure and function of iPSC-CM, primarily mitochondrial damage, with a dose-dependent effect. The iPSC-CM is of great value in the research and treatment of heart diseases, especially in the research of microwave-induced cardiac damage.
The neurocognitive impact of loneliness and social networks on social adaptation
Authors: Franco-O´Byrne Daniel , Sepúlveda Juan Pablo Morales , Ibáñez Agustín , Huepe-Artigas Daniela , Matus Cristián , Manen Ruth , Ayala Jaime , Fittipaldi Sol , Huepe David 
Published: August 2022

Abstract
Social adaptation arises from the interaction between the individual and the social environment. However, there is little empirical evidence regarding the relationship between social contact and social adaptation. We propose that loneliness and social networks are key factors explaining social adaptation. Here we recruited 64 subjects to analyze the effects of loneliness, social network and their brain functional correlates on social adaptation. A hierarchical regression model confirmed that loneliness and social network have negative and positive effects on social adaptation respectively. Functional connectivity (FC) analysis showed that loneliness was associated with decreased FC between fronto-amygdalar and fronto-parietal regions, while the social network was positively associated with FC between the fronto-temporo-parietal network. Finally, a multidimensional path model examined the combined effects of behavioral and brain predictors of social adaptation. The model revealed that social networks mediated the effects of loneliness on social adaptation. Further, loneliness-related abnormal brain FC (associated with difficulties in cognitive control, emotion regulation, and sociocognitive processes) emerged as the strongest predictor of poor social adaptation. Findings offer insights into the brain indicators of social adaptation and highlight the role of social networks as a buffer against the maladaptive effects of loneliness. These findings may aid social development approaches.
Effect of posture on anorectal manometric measurements in female patients with fecal incontinence and rectoanal intussusception
Authors: Tsunoda Akira , Takahashi Tomoko , Osawa Ikuko 
Published: August 2022

Abstract
Purpose
This study aimed to investigate the influence of erect position on anorectal manometry in patients with rectoanal intussusception (RAI).
Methods
This was a single center prospective observational study. Eighty female patients with fecal incontinence (FI) who underwent defecography between 1st January 2016 and 30th April 2022 were included. The effect of posture on commonly measured parameters during manometry was assessed in the left-lateral and erect positions. The severity of FI was assessed using FI Severity Index (FISI).
Results
Defecography showed that 30 patients had circumferential RAI (CRAI), and 50 had non-CRAI. There were no significant differences in age, parity, FI type, and FISI scores between the groups. Endo-anal ultrasound showed no significant difference in the incidence of sphincter defects between the groups. Maximum squeeze pressure was significantly lower in the erect position than in the left-lateral position in the CRAI patients [119 cm H2O (59‒454 cm H2O) vs 145 cm H2O (65‒604 cm H2O), P = 0.006] however, this finding was not observed in the non-CRAI group and the subgroup of anterior RAI patients. In either group, maximum resting pressure, defecation desire volume, and maximum tolerated volume were significantly higher, while anal canal length was significantly smaller in the erect position than in the left-lateral position, respectively.
Conclusion
Voluntary contraction in female FI patients with CRAI was suppressed in the erect position, which may have an additional effect on the appearance of FI.
NuText: A Novel Method for Music Encoding and Its Practical Application
Authors: Chen Yi , Chen Chung-Chiang , Tang Li-Chuan , Chieng Wei-Hua 
Published: August 2022

Abstract
NuText is a novel music-encoding technology based on numbered musical notation. This paper outlines the notation principles of numbered musical notation and delineates the conversion relationship and encoding protocol between NuText and numbered musical notation. Furthermore, this study demonstrates NuText's playback software and its practical applications, including digital artwork creation, Non-Fungible Tokens (NFTs), and social use, and identifies opportunities to develop it as a music technology. The encoding method proposed herein was implemented on PCs and mobile devices, and the method has been successfully applied to sports-oriented music. The image steganography method used in digital artwork creation, Non-Fungible Tokens (NFTs), and social use does not destroy images, and it has been implemented on mobile devices. NuText is a note-level encoding method, which has advantages for interpreting music connotations and a great potential in the development of music information retrieval and artificial intelligence composition. In future work, special musical skills may be added, including the modification of each note velocity, and this may be incorporated into the encoding specification to realize sound in virtual reality.
Robust and conductive cellulose hydrogel generated by liquid metal particles for biomedical application
Authors: Lee Joo Hyung , Kim Seong Hun , Yeo Sang Young , Lim Taehwan 
Published: August 2022

Abstract
Cellulose hydrogels have gained considerable attention compared to other synthetic polymer-based hydrogels due to their eco-friendly and sustainable use. Although the development of the preparation steps enabled the cellulose hydrogels to maintain a three-dimensional network structure with abundant water, overcoming low mechanical strength and limited functionality is still challenging. Here liquid metal particles were introduced as a conductive additive as well as a crosslinking booster, overcoming suggested issues. The liquid metal particles can release gallium ions to the hydrogel nature, offering additional physical crosslinking. The additional crosslinking increases compression stability, electrochemical properties and, cohesion with water molecules, resulting in higher electrical stability after repeated compressions. Also, the liquid metal particles themselves, as chemical crosslinking agents, generate the thicker hydrogel frame. The thickened frame provides higher mechanical and electrical properties. The improved functionalities with biocompatibility allow the liquid metal introduced cellulose hydrogel to use in a biomedical application. We measured electromyography signals using the hydrogel to promote contact quality onto the curvilinear and dynamic skin surface. The measurement results indicate that the robust and conductive hydrogel offers higher signal recording quality and reusable benefit. To our knowledge, this is the first demonstration that the liquid metal is used to cellulose hydrogel to improve mechanical and electrical properties. This study opens up the versatile use of robust and conductive cellulose hydrogels with the aid of liquid metal particles.
Organic Nanomedicine Containing Nonlinear Optical Chromophores for Ultrastable Photo-to-Heat Converting Theranostics in the Near-Infrared Window
Authors: Liu Bei , Feng Weilong , Ge Jiechao , Liu Zechao , Feng Shuai , Chen Zhuo , Bo Shuhui 
Published: August 2022

Abstract
Background
Organic agents that are active in the near-infrared (NIR) bio-window for photo-to-heat energy-converting theranostics have attached much attention in cancer therapy. However, current organic NIR-absorbing agents are still suffering from the inefficient non-radiative decay or serious photobleaching under light irradiation. Herein, we design a convenient strategy to load a new kind of NIR-absorbing nonlinear optical (NLO) chromophores with a biocompatible polymer of methoxy poly(ethylene glycol)-poly(lactideco-glycolide) (mPEG-PLGA).
Results
The resulted NLO/PLGA nanoparticles showed excellent stability, high photothermal conversion efficiency (∼51.11%) and good photoacoustic performance. Moreover, in vitro anticancer experiments demonstrated that the NLO/PLGA nanoparticles possess a high PTT efficiency under NIR laser illumination.
Conclusions
This work thus provides an insight into the exploration of versatile organic NIR-absorbing nanoparticles toward future practical PTT application.
Anti-urolithiatic effect of a polyherbal formulation against sodium oxalate-induced urolithiasis in rats
Authors: Sayed Amany A. , Soliman Amel M. , Fahmy Sohair R. , Hosny Rasha 
Published: August 2022

Abstract
The present study assesses the role of polyherbal formula (LACTN) against sodium oxalate (NaOx) - stimulated urolithiasis prophylactic and curatively. Forty eight rats were separated into the following regimen’s groups. Groups I, II, III, and IV (prophylactic groups) divided as follows; Group I (control group) received saline as vehicle. Group II (urolithiatic group) received 70 mg NaOx / kg b.wt, i.p. Groups III and IV received LACTN and Cystone prophylactic (500 and 750 mg/kg b.wt, respectively) from 1st day to 7th day of urolithiasis induction. Groups V, VI, VII, and VIII (curative groups); these divided as the prophylactic regimes but LACTN and Cystone administered from 7th day to 14th day of urolithiasis induction. Urolithiatic rats co/post treated with LACTN and Cystone elevated the urinary volume significantly (P<0.05). Also, significant decreased (P<0.05) were observed in the serum and urine calcium and phosphate concentrations beside the increased magnesium value in urolithiatic rats co/post treated with LACTN. LACTN significantly (P<0.05) ameliorate serum and urine creatinine, urea, and uric acid concentration. Moreover, urolithiatic rats co/post treated with LACTN significantly (P<0.05) diminished MDA and increase GSH, GST, SOD, and CAT compared with urolithiatic rats. In conclusion, LACTN has anti-lithogenesis effect that may be due to its ability to remove the already presented stone and/or preventing the generation of extra calcium oxalate crystals. This action may be due to its components’ synergetic action that may provide encouraging combined formula to prevent/treat urolithiasis.
Collaborative Filtering Recommendation model Based on Graph Neural Network and Attention Mechanism
Authors: Dahl Matt , Ivan Vessela , Patko Dora , Georgi Steve 
Published: August 2022

Abstract
With the popularity and development of the internet and mobile terminals, people can access a lot of information through them every day. Recommender systems have become one of the important technologies for various online platforms that aim to predict whether a user will interact with an item or not. Among them, collaborative filtering-based models have made effective progress in learning user and item representations by modeling historical user-item interactions. Recently, models based on GCN have been effective in recommendation, and the main function of GCN models is to improve the embedding representation of users and items by iteratively aggregating feature information from neighbors using graph connectivity to extract additional information. However, in previous works, dividing users into subgraphs without intersection only leads to a partial loss of information, ignoring the potential connections that may exist between different groups of users; and because only users are divided, the influence of commodity factors on the purchase outcome at the time of purchase is ignored in the learning process. Based on the above considerations, in this paper we propose a message-passing recommendation model. The model uses intersects users and items in separate subgraphs and uses an optimized attention mechanism to obtain the final node embedding to optimize the embedding representation by introducing multiple embedding propagation layers that encode higher-order connectivity relationships. We conduct extensive experiments to evaluate the proposed model. The results show that our model can effectively improve the performance of the recommendation.
Use of guidelines, checklists, frameworks, and recommendations in behavioral intervention preliminary studies: A scoping bibliometric review
Authors: Pfledderer Christopher D , von Klinggraeff Lauren , Burkart Sarah , Bandeira Alexsandra da Silva , Armstrong Bridget , Weaver R. Glenn , Adams Elizabeth L. , Beets Michael W. 
Published: August 2022

Abstract
Background

Guidelines, checklists, frameworks, and recommendations (GCFRs) related to preliminary studies serve as essential resources to assist behavioral intervention researchers in reporting findings from preliminary studies, but their impact on preliminary study quality is unknown. The purpose of this study was to conduct a scoping bibliometric review of recently published preliminary behavioral-focused intervention studies to 1) examine the prevalence of GCFR usage and 2) determine the associations between GCFR usage and reporting feasibility-related characteristics.

Methods

A systematic search was conducted for preliminary studies of behavioral-focused interventions published between 2018-2020. Studies were limited to the top 25 journals publishing behavioral-focused interventions, text mined to identify usage of GCFRs, and categorized as either not citing GCFRs or citing ≥2 GCFRs (Citers). A random sample of non-Citers was text mined to identify studies which cited other preliminary studies that cited GCFRs (Tertiary Citers) and those that did not (Never Citers). The presence/absence of feasibility-related characteristics was compared between Citers, Tertiary Citers, and Never Citers via univariable logistic regression.

Results

Studies (n=4,143) were identified and 1,316 were text mined to identify GCFR usage (n=167 Citers). A random sample of 200 studies not citing a GCFR were selected and categorized into Tertiary Citers (n=71) and Never Citers (n=129). Compared to Never Citers, Citers had higher odds of reporting retention, acceptability, adverse events, compliance, cost, data collection feasibility, and treatment fidelity (OR range =2.62-14.15, p <0.005). Citers also had higher odds of mentioning feasibility in purpose statements, providing progression criteria, framing feasibility as the primary outcome, and mentioning feasibility in conclusions (OR range =6.31-17.04, p <0.005), and lower odds of mentioning efficacy in purpose statements, testing for efficacy, mentioning efficacy in conclusions, and suggesting future testing (OR range =0.13-0.50, p <0.05). Tertiary Citers had higher odds of reporting acceptability and treatment fidelity (OR range =2.12-2.39, p <0.05), but lower odds of testing for efficacy (OR=0.36, p <0.05) compared to Never Citers.

Conclusion

The citation of GCFRs is associated with greater reporting of feasibility-related characteristics in preliminary studies of behavioral-focused interventions. Researchers are encouraged to use and cite literature that provides guidance on design, implementation, analysis, and reporting to improve the quality of preliminary studies.
A Reliable CoAP Protocol for IoT Communication
Authors: Bansal Sharu , Kumar Dilip 
Published: August 2022

AbstractThe request-response model for constrained devices is achieved via RESTful architecture of Constrained Application Protocol (CoAP) in IoT. An enhanced CoAP is proposed to address the limitations of CoAP to achieve an efficient IoT network. Unlike existing protocols that operate on instantaneous Round-Trip Time (RTT) in IoT, it also makes use of CoAP options, payload, and node distance for defining the network state in a better way. Various new parameters viz. timestamps, priority, message path, device status is introduced and CoAP payload is defined using SenML representation of data. The processing unit at the network level is used for data analysis of the integrated parameters that are timely communicated to this unit from the network nodes. The algorithm with varying data rates is used in homogeneous and mixed traffic to calculate the performance. The significant improvement in terms of delay, priority, congestion, retransmissions ensure reliable communication in the network.
Deep Learning Estimation of the Industrial Wood Production Level with Respect to the Natural Harm Factors
Authors: Sevinç Volkan 
Published: August 2022

Abstract

Protection and sustainability of forest assets are possible with planned production of the forest products. Among these products, industrial wood is the most important raw material for various sectors. Thus, the estimation of the industrial wood production level is important to use this product optimally, without disturbing the balance of forest assets. This article aims to estimate the industrial wood production level based on four natural harm factors, which are forest fires, outbreaks of insects, outbreaks of diseases, and severe weather events. The estimation model was built by using a deep learning method, which is an artificial neural network model based on the multilayer perceptron architecture. The study shows that the most harmful factor decreasing the industrial wood production level is outbreaks of diseases. The second effective factor, however, appears to be severe weather events. The third and the fourth factors were determined to be outbreaks of insects and burned forest areas, respectively.
Liver abscess after transarterial chemoembolization combined with molecular targeted drugs and immunotherapy in the treatment of liver cancer: A case series report
Authors: Song Songlin , Chen Lei , Feng Gansheng , Liu Yiming , Zheng Chuansheng 
Published: August 2022

Abstract
PurposeThere has been no study on the complications of liver abscess in patients treated with Transarterial chemoembolization (TACE) combined with molecular targeted drugs and immunotherapy (TACE-M-I). The aim of this study was to examine the complications of liver abscess in patients treated with TACE alone, TACE-M, or TACE-M-I.MethodsWe retrospectively reviewed data on patients with liver cancer who received TACE in our institution between January 2016 and November 2020. A total of 2203 patients received 5286 TACE: 78 patients received TACE-M, 28 patients received TACE-M-I, and 68 patients received TACE. ResultsIn this study, a total of 12 patients developed liver abscess after TACE; among them, 1 patient developed liver abscess after TACE-M, and 2 patients developed liver abscess after TACE-M-I. The incidence of liver abscess was 0.43% (9/2097) among all patients who received TACE and 1.3% (1/78) among patients who received TACE-M. The incidence of liver abscess in patients who received TACE-M-I was 7.1% (2/28). After infection, ALT, AST, creatine, leukocyte, and neutrophil were higher than those before TACE. After drainage of the abscess and the application of antibacterial agents, the ALT, leukocyte, and neutrophil decreased to normal levels. All patients recovered and were discharged after liver abscess treatment.ConclusionLiver abscess is a rare complication after TACE, but molecular targeted drugs and immunotherapy might increase the incidence of liver abscess for patients who received TACE. Clinicians should focus on caring for these patients. Abscess drainage and antibacterial agents are good treatment choices for these patients.
N6-methyladenosine modified AFAP1-AS1 accelerates hepatocellular carcinoma proliferation and migration via miR-195-5p/KIAA1429 feedback loop
Authors: Fan Xiwen , Ahati Yeermaike , Gu Peng 
Published: August 2022

AbstractHepatocellular carcinoma (HCC) acts as a dominating malignant tumor with high-mortality rate and poor prognosis. Emerging evidence suggests that N6-methyladenosine (m6A) plays critical roles in HCC progression. However, function of m6A and lncRNA in HCC progression requires further clarification. In our study, we found that AFAP1-AS1, a m6A-modified lncRNA, substantially elevated in the HCC cells and correlated with poor prognosis. Interestingly, AFAP1-AS1 had m6A modification site and m6A writer KIAA1429 bound with the m6A site to enhance AFAP1-AS1 stability. Functionally, AFAP1-AS1 promoted HCC migration/ proliferation and knockdown of AFAP1-AS1 repressed the tumor growth. Mechanistically, AFAP1-AS1 up-regulated KIAA1429 expression through sponging miR-195-5p, forming positive feedback of KIAA1429/m6A/AFAP1-AS1/miR-195-5p. In summary, our study reveals a new mechanism for AFAP1-AS1-promoted HCC progression, contributing to overcoming HCC tumorigenesis.
A Comprehensive Data Fusion to Evaluate the Impacts of COVID-19 on Passenger Travel Demands: Application of a Core-Satellite Data Collection Paradigm
Authors: Hossain Sanjana , Loa Patrick , Wang Kaili , Ma Sk. Md. , Dianat Alireza , Habib Khandker Nurul 
Published: August 2022

Abstract

The COVID-19 pandemic has altered travel patterns in cities across the world. Previous studies have found that travel choices during the pandemic are affected by attitudes and perceptions of risk in addition to transportation system level-of-service attributes. However, traditional travel demand models often rely on household travel survey data, which rarely include information on attitudinal factors. Conversely, specialized surveys are often lengthy, so they offer the ability to collect detailed attitudinal information but suffer from limited sample sizes. This study demonstrates the feasibility of fusing a “core” household travel survey with three specialized “satellite” surveys to evaluate the impacts of COVID-19 on passenger travel demand in the Greater Toronto Area (GTA). The study uses a non-parametric implicit data fusion method to generate multiple synthetic datasets that contain observed travel diaries and socioeconomic attributes of the trip-makers from the core survey, along with imputed attitudinal statements based on the satellite surveys. The results highlight the ability of the method to sufficiently reproduce the distribution of the attitudinal variables and the ability of the imputed variables to support the estimation of an advanced econometric model. The proposed method can reduce the risk of potential biases in the imputed data that can adversely impact subsequent data analysis. This method can be used to capitalize on the benefits of specialized surveys while still being able to utilize data from large-scale household travel surveys.