bluuebunny/crossref_metadata_2025_split huggingface dataset:
Methylcobalamin-containing nanofiber sheets have better neuroprotective effects than small intestinal submucosa sheets
Authors: Yoshimura Yoshiaki , Iwahashi Toru , Kasuya Taisuke , Shimada Toshiki , Konishi Katsuyuki , Kamata Atsushi , Konishi Mai , Kazui Arisa , Shiode Ryoya , Miyamura Satoshi , Oka Kunihiro , Okada Seiji , Tanaka Hiroyuki 
Published: January 2024

Abstract

Postoperative adhesion around nerves sometimes results in sensory and motor dysfunctions. To prevent these disorders, we have developed an electrospun nanofiber sheet incorporating methylcobalamin (MeCbl), an active form of vitamin B12 with anti-inflammatory and neuroregenerative effects. This study aimed to investigate the neuroprotective effects of MeCbl sheets against postoperative adhesion and to compare the effects of MeCbl sheets with those of porcine small intestinal submucosa (SIS) sheets using a rat sciatic nerve adhesion model. Behavioral and electrophysiological analyses showed superior results in the MeCbl sheet group compared with those in the untreated group, all of which were non-inferior to the SIS sheet group. Histological analysis revealed less collagen and inflammatory cell invasion into the nerve parenchyma and a higher number of residual axons and myelination rate in the MeCbl sheet group than in the untreated group. Moreover, the MeCbl sheet group was superior to the SIS sheet group in terms of the myelination rate and decreased number of infiltrating macrophages. Furthermore, the distribution of residual axons by diameter revealed that the MeCbl sheet group had thicker axons than the SIS sheet group. The use of MeCbl sheets may represent a novel approach for preventing secondary nervous system impairment following inflammation.
Hypoglycemia rather than vascular dysfunction causes early mortality in diabeto-septic mice
Authors: Gari Manju , Jagadeesh T , Choudhury Soumen , Shukla Amit , Gangwar Neeraj K , Garg Satish K 
Published: January 2024

Abstract
Sepsis is often complicated with pre-existing diabetes and diabetic patients are prone to infection. However, the impact of sepsis in pre-existing diabetes especially on cardio-vascular system is largely unknown. Sepsis was induced by caecal ligation and puncture while intra-peritoneal injection of streptozotocin (@ 65 mg/kg b.wt. for 5 consecutive days) was used to induce diabetes in mice. Isometric tension and mRNA expression of α1D-adrenoceptor in aorta was determined by organ bath and qRT-PCR, respectively. Blood glucose levels and bacterial load in blood and peritoneal lavage (PL) were estimated. Histopathological examination of pancreas, lungs, liver, kidney and spleen was also done. Induction of sepsis in the mice with pre-existing diabetes caused early mortality despite being lower bacterial load in blood and PL in comparison to sepsis alone. Interestingly, NA-induced contraction as well as receptor-independent high K+-induced contraction (though significantly (p < 0.05) reduced in sepsis), were similar in diabeto-septic and SO groups. Accordingly, aortic mRNA expression of α1D-adrenoceptor was also unaltered in diabeto-septic group unlike to that of sepsis where α1D mRNA expression was significantly down-regulated. ACh-induced vasorelaxation was also unaffected in these animals. However, marked hypoglycemia before death with enhanced infiltration of inflammatory cells in lungs, liver, kidney and spleen was observed. In diabeto-septic animals, hypoglycaemia rather than vascular dysfunction was responsible for early mortality. Further, the increased infiltration of inflammatory cell in different tissues reduced the bacterial load and is responsible, at least in part, for reduction in blood glucose level leading to hypoglycemic shock.
Stress Interference in Multilayer Additive Friction Stir Deposition of AA6061 Aluminum
Authors: Yang Teng , Jin Yuqi , Wang Tianhao , Dowden Shelden , Neogi Arup , Dahotre Narendra B. 
Published: January 2024

Abstract

Due to the multilayer deposition nature of metal additive manufacturing processes, each layer being printed experiences the state of thermokinetic and thermomechanical stress that in turn interfere with the state of thermokinetics and thermomechanical stress of subsequently deposited layers. Especially, this multilayer interference significantly affects the resultant properties of the component fabricated using solid state additive friction stir deposition due to evolution of asymmetric state of planar stress. Due to the lack of comprehensive and suitable in-situ diagnosis technique, the complex interference of inter- and multi-layer stresses during additive friction stir deposition was studied in an integrated approach of numerical simulation of fluidic state and experimental probing of stress influenced ultrasonic elastography. The uni-directional and bi-directional layer deposition configurations adopted during additive friction stir deposition result in generation of constructive and destructive interference of the interlayer stress and hence, asymmetric and symmetric dynamic elasticity distribution respectively within the subsequent layers. With subsequent deposition of additional layers, the odd and even numbers of deposited layers generate asymmetric and nearly symmetric dynamic elasticity distributions.
The Association Between Emotional Expressions and Empathic Accuracy
Authors: Lin Tong , Simon Jeremy C. , Gutsell Jennifer N. 
Published: January 2024

Abstract
Empathic accuracy, the ability to accurately represent and understand another’s emotional state, is integral to socio-emotional functioning. It is also inherently an interpersonal process that requires active engagement of the emotional systems of both interaction partners. The emotional expressivity of the partner sharing their emotions restricts empathic accuracy and the perceiver’s emotional expressivity might also affect empathic accuracy as they behaviorally simulate and thus share the emotions they see in the other’s face. We explored a potential role of emotional expressivity in people’s ability to understand another’s emotions in a face-to-face dyadic interaction. Participants took turns sharing emotional experiences while their facial expressions were recorded. They then watched the recordings while continuously rating their own and their partner’s affect at any given point during the recording. Empathic accuracy was indexed as the epoch by-epoch emotion change detection. We found that emotional expressivity of the listener, but not of the partner, was associated with increased empathic accuracy, even when controlling for partner’s expressivity. Our findings highlight the active role the person empathizing takes in face-to-face emotional sharing.
Evaluation of Critical SERR in the Presence of Heterogeneous Interfaces in Bonded Joints: Application to Parallel Defects in DCB Titanium alloy laser treated specimens
Authors: ALI Mahfoudh TALEB , JEBRI Zaineb 
Published: January 2024

Abstract
In this study, longitudinal defects are examined in the context of adhesively bonded structures, a subject that has remained understudied in previous investigations. Employing fracture mode I loading on Double Cantilever Beam (DCB) specimens with variable adhesion strength, we investigate the influence of weakened adhesion areas on the critical Stress Energy Release Rate (SERR). Modifications of titanium alloy specimen surfaces, with nanosecond laser treatment, alter their surface morphology dynamically. Our mechanical testing unveils a pronounced effect of weakened adhesion areas on SERR, necessitating a nuanced understanding.
A comprehensive model is presented that takes both transversal and longitudinal defects into account, providing detailed insight into the effect of finite defects on SERR values. The theoretical models meticulously calculate overall critical SERR (Gc) in heterogeneous bond lines, exhibiting a compelling correlation with experimental results. The study underscores the non-linear variation of critical SERR (Gc) with the fraction of strong adhesion area, a phenomenon influenced by the crossover between areas of good and weakened adhesion.
Practice Path of Sports and Health Monitoring in Universities Based on Optical Imaging Technology and Big Data
Authors: Wang Peng 
Published: January 2024

Abstract

In the field of education, sports in universities are an indispensable component, and the associated sports risks are widely concerned by society. This is because in previous university sports, insufficient technological support and lack of monitoring of vital health signs resulted in ineffective results, and even cases of sudden sports death occurred. Therefore, this article proposes the use of optical imaging technology and big data algorithms to design a sports and health monitoring system for universities. Firstly, by utilizing the characteristics of the imaging system for computing light fields, the imaging technology for computing light fields is combined with adaptive optical imaging. Based on the distribution of information in the light field, the internal four-dimensional light field information is distinguished and filtered. Secondly, after fully considering the issues of model design and data processing, this article studies the application of distributed algorithms in large-scale data scenarios, and then uses the MapReduce model to handle the problems of distributed big data algorithms, which significantly improves the speed of intelligent analysis and calculation. In the end, this article designed a health monitoring system for college sports, which dynamically monitors physiological parameters such as blood pressure, blood oxygen, heart rate, and body temperature of students. The results show that this method can effectively warn of sports risks such as fatigue and sudden sports death, providing protection for the health training of college sports majors.
Application of Random Forest Algorithm Based on Fiber Optic Sensors in Fatigue Detection in Sports Competitions
Authors: Chen Zhaoyu 
Published: January 2024

Abstract

In the field of competitive sports, increasing training intensity is mostly used to improve sports and competition levels. However, after high-intensity training, the function of the body muscles will decrease, which is known as muscle fatigue. If there is a lack of reasonable control over exercise intensity, athletes may experience muscle fatigue and sports injuries. Based on this, this article takes the random forest algorithm of fiber optic sensors as the design basis and develops a fatigue detection system for sports competitions. This article first analyzes the relevant principles of fiber optic sensors, and based on their corresponding mode coupling theory, derives formulas for the output content of sensors. Through experiments, the advantages of fiber optic sensors are demonstrated. Then, the random forest algorithm was analyzed and improved, which belongs to the classic ensemble learning algorithm. The model used is universal, easy to understand, and not prone to overfitting. However, in terms of dynamic data classification, the performance is poor. The improved random forest algorithm not only has excellent detection performance, but also higher prediction accuracy than before. Finally, this article successfully developed a fatigue detection application system for sports competitions, which can detect the fatigue level of athletes in real time, adjust the intensity of exercise, and effectively avoid potential safety hazards during the exercise process.
Autosomal dominant kidney disease phenocopying hypertensive nephropathy in Turkish Cypriot Families
Authors: Ozdemir Fezile , Oygar D. Deren , Behlul Ahmet , Ataç Salahi , Bardak Simge , Yükseliş Meral , Papagregoriou Gregory , Malatras Apostolos , Gale Daniel P. , Neild Guy H. , Deltas Constantinos , Gurkan Cemal 
Published: January 2024

Abstract
Background
In Cyprus, chronic kidney disease (CKD) is very common and often presents as a haematuric nephropathy caused by autosomal dominant pathogenic variants in the COL4A3 or COL4A4 genes. We investigated 57 Turkish Cypriots (TCs) with familial CKD for pathogenic variants in the COL4A3 and COL4A4 genes.
Methods
Probands from 53 families underwent massive parallel DNA sequencing using a glomerular gene panel for familial haematuria (COL4A3, COL4A4, COL4A5, CFHR5, and FN1), and whole exome sequencing (WES) was performed for 24 families. Twenty families were subjected to both procedures. Variants of interest were validated and tested in other family members by Sanger DNA sequencing or polymerase chain reaction-restriction fragment length polymorphism analysis (PCR-RFLP) and agarose gel electrophoresis.
Results
The diagnostic yield from these families was disappointing, and likely pathogenic variants were identified in only 12 of the 57 patients (genes, including COL4A3 (3), COL4A4 (2), and COL4A5 (2)), leaving 45 unsolved families. Among the latter, a common missense variant (COL4A4:p. G545A), was present in four of the 45 unsolved and one of the solved families. Subsequently, we examined at least one member from a total of 85 families with evidence of familial kidney disease and a probable glomerular phenotype (at least one person with hematuria or proteinuria) and found 12 families (14%) with the p.G545A variant, which seemed to cosegregate with renal disease more often than would be expected by chance. All these families demonstrate an autosomal dominant (AD) inherited susceptibility to kidney disease associated with hypertension, variable and intermittent microscopic hematuria, and minimal proteinuria that remains at < 1 g/day until the estimated glomerular filtration rate (eGFR) falls below 30 ml/min, after which it may increase.
Conclusions
We suggest that COL4A4:p. G545A may play a permissive polygenic role in a novel renal condition that phenocopies ‘hypertensive nephropathy’. This variant may be a common contributor to renal failure in the eastern Mediterranean region, thus justifying further investigation in appropriate families.
MoRGH: Movie Recommender System using GNNs on Heterogeneous Graphs
Authors: Ziaee Seyed Sina , Rahmani Hossein , Nazari Mohammad 
Published: January 2024

Abstract

Nowadays, with the advent of movies and TV shows and the competition between different movie streamer companies and movie databases to attract more users, movie recommenders have become a major prerequisite for customer satisfaction. Most of the previously introduced methods used collaborative, content-based, and hybrid filtering techniques, where neural network-based approaches, and matrix completion are the major approaches of most recent movie recommender systems. The major drawbacks of previous systems are not considering side information, cold start problem, and neglecting valuable information hidden when the data is presented in a heterogeneous graph like movie-movie or user-user information.
In this paper, we propose a novel inductive approach called MoRGH which first constructs a graph of similar movies by considering the information available in movies’ plot synopsis and genres. Second, constructs a heterogeneous graph of users and movies by taking into account the movies’ rating information available in the Movielens dataset. Third, mitigates the drawbacks of previous methods by performing a GNN and GAE-based model to exploit a hybrid approach of collaborative and content-based approaches. Finally recommends, accurate and more personalized recommendations for each user, which
outperforms previous state-of-the-art models w.r.t RMSE scores with an average of 0.1 based on movie ratings.
Ecology and biogeochemistry of the microbial underworld in two sister soda lakes
Authors: Paquette Alexandre J. , Bhatnagar Srijak , Vadlamani Agasteswar , Gillis Timber , Khot Varada , Novotnik Breda , Siegler Hector De la Hoz , Strous Marc , Rattray Jayne E. 
Published: January 2024

Abstract
Approximately 3.7 billion years ago, microbial life may have emerged in phosphate-rich salty ponds. Surprisingly, analogs of these environments are present in alkaline lake systems, recognized as highly productive biological ecosystems. Investigating the microbial ecology of two Canadian soda lake sediment systems characterized by naturally high phosphate levels. Using a comprehensive approach involving geochemistry, metagenomics, and amplicon sequencing, we discovered that groundwater infiltration into Lake Goodenough sediments supported stratified layers of microbial metabolisms fueled by decaying mats. Effective degradation of microbial mats resulted in unexpectedly low net productivity. Evaporation of water from Last Chance Lake and its sediments led to saturation of brines and a habitat dominated by inorganic precipitation reactions, with low productivity, low organic matter turnover and little biological uptake of phosphorus, leading to high phosphate concentrations. Our research highlights that modern analogs for origin-of-life conditions might be better represented by soda lakes with low phosphate concentrations. Highly alkaline brines were found to be dominated by potentially dormant spore-forming bacteria. These saturated brines also hosted potential symbioses between Halobacteria and Nanoarchaeaota, as well as Lokiarchaea and bacterial sulfate reducers. Metagenome-assembled genomes of Nanoarchaeaota lacked strategies for coping with salty brines and were minimal for Lokiarchaea. Thus, highly alkaline brine environments could be too extreme to support origin of life scenarios. These findings shed light on the complex interplay of microbial life in extreme environments and contribute to our understanding of early Earth environments.
Effects of two controlled physical exercise programs on work ability, job satisfaction and anxiety in three sedentary companies: a pilot study
Authors: Díaz-Benito Víctor Jiménez , Díaz Sara Zafra , Mateos María Espada , Farrona María Jesús Marín 
Published: January 2024

Abstract

Objective: To assess the effect of two supervised physical exercise interventions in the workplace on work capacity, job satisfaction and self-perceived anxiety.
Methods: A pre-experimental study was conducted on workers with sedentary occupations from three different companies and sectors: (1) Renewable energy engineering; (2) Insurance and (3) Infrastructure and services. The participants of the first two were administered a supervised physical exercise program at their corporate headquarters in Madrid (PRODET®: n=12; mean age 43.21±7.04 and n=16; mean age 46.59±5.01, respectively). The third company carried out another physical exercise intervention in a single corporate headquarters in Madrid (HASAVI; n=18; mean age 39.25±9.83). A pre- and post-test intragroup analysis was performed on work capacity, job satisfaction and perception of anxiety.
Results: The PRODET® program in the company (1) found a significant improvement in work capacity in relation to requirements (p=0.033; η2=0.24) and an increase in psychic vitality (p=0.037; η2= 0.23). In this company, a significant increase was found in the overall score of the work capacity index (p=0.045; η2=0.20). The program also improved the perception of satisfaction in relation to remuneration and benefits (p=0.016; η2= 0.19), the perception of satisfaction related to the quality of production (p=0.013; η2=0.21) and the total score of job satisfaction (p=0.016; η2=0.19). There was also a decrease in trait anxiety (p=0.039; η2=0.22). No statistically significant differences were observed in the change of values from pre to post in any other company and program (p>0.05).
Conclusions: The PRODET® supervised physical exercise program could influence work capacity and job satisfaction in general.
Evaluation of the environmental efficiency of China's power generation industry considering carbon emissions and air pollution: An improved three-stage SBM-SE-DEA model
Authors: Chai Shanglei , Li Qiang , Chen Siyuan 
Published: January 2024

Abstract

Evaluating and enhancing the environmental efficiency of the power generation industry is an effective approach for addressing the challenges of climate change and environmental pollution. Considering the influence of external environmental factors and stochastic factors, this paper proposes an improved three-stage slack-based measure with superefficiency data envelopment analysis (SBM-SE-DEA) model to evaluate the environmental efficiency of the power generation industry in China’s 30 provincial regions during 2015–2021. The model integrates three-stage DEA model, SBM-DEA model, and SE-DEA model while accounting for undesirable outputs such as carbon emissions and air pollutants. The results show that (1) regions with a high proportion of renewable energy generation demonstrate the best environmental efficiency when considering the environmental constraints from carbon emissions and air pollution. However, the results of the first stage are evidently overestimated due to the influence of external environmental factors. (2) Rational adjustments in the economic development level, power structure, and industrial structure play a positive role in improving environmental efficiency. However, improving resource endowment does not yield the expected results. Additionally, provinces with higher electricity outputs often bear greater pressure from environmental pollution. (3) The environmental efficiency in the third stage exhibited a stable trend driven by internal factors. However, except for the Northeast and Central-South regions, most regions still experienced overestimation of environmental efficiency in the first stage. Thus, optimizing the power generation structure, promoting industrial restructuring, and strengthening interregional cooperation and coordination are imperative.
Cutaneous Eccrine Porocarcinoma: Diagnostic Challenge in Darker Skin Tones Individual
Authors: Babeta Fantahun Abza , Belachew Anteneh , Getachew Yared 
Published: January 2024

Abstract
Skin cancers are frequently misdiagnosed or diagnosed late in people with darker skin tones (Fitzpatrick types 4-6), resulting in increased morbidity and mortality. Rare skin cancers, such as Eccrine Porocarcinoma (EPC), which accounts for 0.005 to 0.01 of all epidermal skin tumours, are less likely to be directly diagnosed in people with darker skin tones. Eccrine Porocarcinoma is often misdiagnosed as both benign and maliginat tumors of the skin. This case study presented a 45-year-old male patient from Ethiopia, Africa who presented to a dermatology clinic with a non-painful, non-itchy lesion on the plantar surface of his right big toe that had been present for 10 years.
Urban Growth Modeling in Kurunegala, Sri Lanka using Cellular Automata/Markov Chain Multi-criteria Analysis and Markov-Markovian Transition Estimator
Authors: Hasan Farasath 
Published: January 2024

Abstract
With accelerated global urbanization, the expansion of cities has become a pressing concern for urban planners and researchers. The growth and dynamics of urban encroachment are closely tied to changes in land use, especially in urbanized areas. This study seeks to evaluate the accuracy of the CA-Markov (Cellular Automata) model in predicting land use/land cover changes (LULCC) in the Kurunegala district, Sri Lanka as a result of urban expansion. The investigation employs secondary data, including 2007, 2012, 2017, and 2022 Landsat 05, 07, 08, and 09 images respectively. Using software applications such as ArcGIS 10.8, IDRISI 17.0, and MS-Excel 2019, diverse techniques including supervised classification, Markovian transition estimation, and CA-Markov chain analysis, this study attempts to analyze the Urban Growth Modeling for 2027 and 2037 using CA-Markov Chain Multi-criteria Analysis (MCA) under Markov-Markovian Transition Estimator. The study used 32 spatial variables for determining the LULCC. As per the derived results, from 2022 to 2027, urban areas have increased quite markedly. The vegetation cover area has reduced and the areas of water bodies have increased spatially. From 2027 to 2037, the urban area increment is 72.552%. Also, vegetation cover and water body distribution have reduced by 8.051% and 39.91% respectively.