bluuebunny/crossref_metadata_2025_split huggingface dataset:
Road Safety Analysis Framework Based on Vehicle Vibrations and Sounds using Deep Learning Techniques
Authors: P Rithesh Pakkala , R Akhila Thejaswi , B Shamantha Rai , R Nagesh H 
Published: October 2022

Abstract
Road accidents in India occur due to potholes. These potholes are not repaired because the authorities will not be aware of it unless the public raises an issue. Lack of adequate techniques to identify potholes has caused huge trouble to the public. The primary goal of this study is to build a deep learning model that would analyze the patterns in the sound recording of the vehicles and label the Road Anomaly Events (RAEs). Deep learning techniques like Convolutional Neural Network (CNN) and BLSTM are used to classify the sound signature and then are labelled accordingly. The idea can be implemented in areas where there is regular movement of vehicles to identify the exact locations of the pothole and inform the concerned authorities so that the public can experience smoother roads. From the analysis, it is found that the model has an accuracy of 83% with ADAM Optimizer while RMSProp produces 54–60% accuracy.
Dynamic performance of a novel tuned vibration absorber with nonlinear friction interfaces
Authors: Wang Yongfeng , Ma Yanhong , Wang Hong , Firrone Christian Maria , Hong Jie 
Published: October 2022

Abstract

A novel tuned vibration absorber with frictional interfaces (FTVA) is proposed in this study, combining advantages of the tuned absorber and the nonlinear dry friction damping to dissipate the energy. First, the influence of the mechanism of the nonlinear dry friction damper is introduced using a simplified model with 1-dof tuned mass absorber and the hysteresis friction contact element. Second, a real layout for the FTVA is proposed using a metal strip to tune the vibration absorber, and introducing three frictional contact interfaces with variable normal loads. Both numerical and experimental studies have been carried out which indicate the effectiveness of the novel FTVA. For a well-tuned absorber with properly designed frictional interfaces, the vibration amplitude can be reduced more significantly, and the actual frequency range where vibration amplitudes are limited can be broadened with respect to a classical TVA. The nonlinear contact element contributes to avoid the additional peak vibration generated by the tuned ordinary absorber since the friction damping will be activated as the system response increases to a threshold value. Effects of contact parameters, such as the normal load of the interface, have been deeply investigated as well, which can be optimized to minimize the vibration amplitude. Basic performance of the novel FTVA have been revealed, indicating the potential to suppress vibrations of engineering structures.
Growth performance, nutrient digestibility, antioxidant status and metabolic enzyme activity in pearlspot (Etroplus suratensis), fed carbohydrates of different complexities
Authors: Ramachandramoorthi Raguram , Pradhan Chiranjiv , Kalaivanan Rajalakshmi , Sashidharan Abhilash , Jena Srikanta , Mohanta Kedar Nath 
Published: October 2022

Abstract
A 60-days feeding study was conducted to assess the capacity of pearlspot, Etroplus suratensis to utilize different complexity of carbohydrate in growth performance, nutrient digestibility, antioxidant status, metabolic and digestive enzyme activity and histology of liver. Five isonitrogenous (35%) and isolipidic (7%) diets were formulated to contain 35% of glucose (GLU-feed), sucrose (SUC-feed), dextrin (DEX-feed), starch (STA-feed) and cellulose (CEL-feed), respectively. The survival and condition factor were not affected (p > 0.05) by the diets. Fish fed with the STA-feed showed significantly (p < 0.05) higher weight gain and specific growth rate. The feed efficiency ratio and protein efficiency ratio were significantly higher (p < 0.05) and alike in STA-feed and Dex-feed groups. Except for protein, the other whole-body composition was affected significantly (p < 0.05) by the different carbohydrate sources. The activities of antioxidant enzymes were significantly (p < 0.05) higher in groups fed on complex carbohydrate diets when compared to simple forms. Simillarly, the protease enzyme activity was also significantly (p < 0.05) higher in starch and cellulose fed groups. Significantly (p < 0.05) higher dry matter digestibility was recorded in starch fed group. STA-feed group increased the specific activity of malate dehydrogenase and hexokinase.The glucose 6 phosphate dehydrogenase (G6PDH) activity was significantly (p < 0.05) higher in the GLU-feed group, and gradually decreased with increase in the complexity of carbohydrates.The DEX-feed and CEL-feed groups showed heavy fatty change with numerous large lipid droplets as compared to other groups. Overall, these results indicate that dietary starch was more efficiently utilized than other carbohydrate sources by pearlspot.
Fading of rhodamine B using CdS quantum dots under solar light
Authors: Sivakumar K. , Poongodi T. 
Published: October 2022

Abstract
Plate like cadmium sulfide (CdS) quantum dots were prepared by using β-cyclodextrin as reductant. Photoluminescence and uv-visible diffused reflectance spectroscopic techniques are used to investigate the optical property of CdS. The blue shifted emission of CdS at 469nm than the bulk particle is observed. The calculated band gap of CdS quantum dot is 2.62 eV showed a difference of 0.2 eV energy greater than that of bulk, indicating quantum size effect. The synthesized quantum dot has size in the range of 3.5nm with zinc blende crystallite structure. The plate like nanoclusters of CdS are inferred from SEM images. The photocatalytic efficiency of prepared CdS was tested for the degradation of rhodamine B dye using natural solar light. Effect of weight of catalyst, concentration of dye, pH of solution and reusability of catalyst were investigated. Existence of isosbestic point observation of high intense absorbance peak at 550nm at 300min in different matrix circumstances confirms the formation of leuco Rh B.
Primary Biliary Tract Cancers in Golestan, Iran: 13-year experience of Golestan Population-based Cancer Registry (GPCR)
Authors: ashkbari Ali , Amlashi Fazel Isahpanah , Besharat Sima , mofidi Mostafa , Amiriani Taghi , Fazel Abdolreza , Alimadadi Mehdi , Salamat Faezeh , Sedaghat SeyyedMehdi , Livani Somayeh , Bagheri Ali , Semnani Shahryar , Norouzi Alireza , Roshandel Gholamreza 
Published: October 2022

Abstract
The authors have requested that this preprint be removed from Research Square.
Basement membrane genes can predict the prognosis of patients with clear cell renal cell carcinoma (ccRCC) and are correlated with immune status
Authors: Hou Junhui , Lv Zongwei , Wang Yuan , Wang Xia , Chen Xiaonan , Wang Kefeng 
Published: October 2022

Abstract
Background: Basement membrane (BM) genes are an important factor in the process of clear cell renal cell carcinoma (ccRCC). Thus, identifying BMs with prognostic values in ccRCC is critical.
Methods: The samples from TCGA were separated randomly into 2 cohorts, the training cohort, and the validation cohort. For the training cohort univariate Cox, Lasso, and multivariate Cox regression analyses were applied to identify prognostic BM genes and then construct a prognostic BM-genes’ signature. The nomogram was applied to predict prognosis at different clinicopathological stages and risk scores. GO and KEGG analyses were applied to the differentially expressed genes. Moreover, the CIBERSORT and ESTIMATE scores were calculated and compared between the high-risk cohort and the low-risk cohort.
Results: A prognostic risk model of four BM genes, including ADAMTS14, COL7A1, HSPG2, and TIMP3, was constructed. There were also significant differences in survival time between the high-risk and low-risk groups for the validation cohort and the entire cohort. The risk model was validated as a new independent prognostic factor for ccRCC by univariate and multivariate Cox regression together with clinicopathological characteristics. In addition, a nomogram showed good prediction. The model can also analyze the possibility of immune escape and response to immunotherapy in ccRCC patients. In addition, the results of a pan-cancer analysis showed that these four model genes were associated with immune-related genes in a variety of cancers.
Conclusion: The signature of four BM genes had a significant prognostic value for ccRCC. They may be promising targets for therapy, especially immune therapy.
Automated Classification of Well Test Responses in Naturally Fractured Reservoirs Using Unsupervised Machine Learning
Authors: Freites Alfredo , Corbett Patrick , Rongier Guillaume , Geiger Sebastian 
Published: October 2022

Abstract
Understanding the impact of fractures on fluid flow is fundamental for developing geoenergy reservoirs. Pressure Transient Analysis (PTA) could play a key role for fracture characterization purposes if proper links are built between the pressure derivative responses () and the fracture properties; however, the PTA process is particularly challenging in the presence of fractures because they can manifest themselves in many different . Our work aims at providing a tool for effectively handling the diversity in fracture-induced by automatically classifying them and identifying characteristic patterns in the data. To represent this diversity of in naturally fractured reservoirs, we created a synthetic dataset from numerical simulation that comprised 2560 , corresponding to 10 stochastic realizations of 256 combinations of different fracture intensities and average fracture apertures, organized in two orthogonal fracture sets. To group the , we developed an unsupervised maching learning approach that can distinguish beyond the variable temporality of the signals by leveraging the dynamic time warping algorithm in a k-medoids clustering. Our results suggest that the approach is effective at recognizing similar shapes in the first pressure derivatives if the second pressure derivatives are used as the classification variable. The analysis of the Naturally Fracture Reservoirs dataset indicated that 12 clusters were appropriate to describe the full collection of . We suggest that the respective cluster medoids can be regarded as reference curves for various Naturally Fractured Reservoirs and be used as a guide in the interpretation of real well tests. The classification exercise also allowed us to identify the key geological features that influence the , namely 1) the distance from the wellbore to the closest fracture(s), 2) the local/global fracture connectivity, and 3) the local/global fracture intensity.
Neuroticism among medical students at a federal public university: a cross-sectional analysis
Authors: Poles Kátia , Almansa Joice Franciele Friedrich , Braz Mirian Silvia , Hutz Claudio Simon 
Published: October 2022

Abstract
Introduction: Neuroticism is a personality dimension characterized by an individual's tendency to experience negative emotions. Individuals with high levels of neuroticism are more likely to experience emotional distress and mental illness.
Objective: To evaluate levels of neuroticism, including its facets, among medical students at a federal public university and compare them to groups in the general population.
Method: Cross-sectional, descriptive, and quantitative study. A total of 317 medical students from a federal university in Brazil, participated; 171 (53.94%) were female and 146 (46.06%) were male. A sociodemographic questionnaire and the Revised Neuroticism Factor Scale were applied for collection between February and June 2021. Data analysis procedures were performed using SPSS. Student t-tests for one and independent samples were applied for gender comparison.
Results: The sample means, categorized by gender, were compared with the population means presented in the technical manual of the test. Higher scores were evident in neuroticism and the facets of vulnerability, embarrassment, impulsivity, and anxiety/preoccupation when compared to the baseline study. Both genders were also found to have higher levels of embarrassment and anxiety/concern, and males also showed higher scores on neuroticism, vulnerability, and impulsivity. In the comparison test between genders, higher scores were observed in females for neuroticism and depression, vulnerability, embarrassment, and anxiety/concern.
Conclusion: Given the above, the need for psychological support for medical students is reinforced, for both genders, given the professional specificities in which they are immersed. Moreover, identifying the protective factors is an essential prerequisite for the design of health promotion interventions.
The negative consequences of the SARS-CoV-2 pandemic on the health of mother and child considering maternal childhood maltreatment
Authors: Köhler-Dauner Franziska , Gulde Manuela , Hartmann Lara , Ziegenhain Ute , Jörg M. Fegert 
Published: October 2022

Abstract
Background
Preventive isolation and social distancing strategies during the SARS-CoV-2 pandemic have confronted families with a variety of different limitations and pressures like preventive isolation and school closures. Especially in this stressful time, children need a stable parental home to prevent developmental consequences. Additional risk factors such as maternal childhood maltreatment (CM) may affect mother’s psychosomatic health and children’s physical well-being in times of increased stress such as during the ongoing pandemic.
Objective
We aimed to analyze the interplay between maternal CM, mother’s mental health, and children’s physical complaints during the SARS-CoV-2-pandemic.
Method
Mothers of a well-documented birth cohort for investigating the pathways leading to resilience or vulnerability in the transgenerational transmission of CM were imbedded in an online “SARS-CoV-2 pandemic survey” assessing mother’s psychosomatic health and children’s physical health during the pandemic. 159 mothers completed the online survey. To describe the maternal CM, data from a longitudinal survey were used.
Results
Our mediation analysis demonstrates a significant positive association between the sum of maternal CM experiences, maternal psychosomatic symptoms, and their children’s physical health complaints. The maternal psychosomatic symptoms significantly mediate the interplay between CM and children’s physical health complaints, the direct effect does not remain significant when the maternal psychosomatic symptoms were included as mediator.
Conclusions
Maternal CM seems to be one relevant risk factor for mother’s psychosomatic health and children’s physical well-being during a stressful time like a pandemic. Maternal CM experiences seem to influence the way how parents deal with stressful situations and increase the risk to suffer depressive symptoms. The latter impact also their children’s physical well-being. Our results highlight the importance to carefully assess the specific situation of families with children and to provide individually adjusted assistance to help the families to get through the pandemic.
Molecule stapling-assisted fabrication of high-quality CsPbI2Br films for efficient and stable photovoltaic modules
Authors: Chen Ruihao , Du Jieru , Zheng Xuan , Li Feiming , Guo Pengfei , Liu Zhe , Wang Hongqiang 
Published: October 2022

Abstract
CsPbI2Br perovskite solar cells (PSCs) are a suitable bandgap for the fabrication of tandem solar cells and have excellent thermal stability. However, their halide phase separation and water instability lead to challenges for practical industrialization. Here, a molecular stapling strategy is demonstrated to assist in the fabrication/stabilization of a high-quality large-area CsPbI2Br film by using a series of cesium perfluorodioate salts. According to density functional theory and experimental attempts, hexafluoroglutarate anions possessed a stronger interaction between chelated oxyen and surface Pb2+ ions due to the matchable stapling configuration, which effectively improved moisture tolerance, reduced defects and further improved the phase stability of the CsPbI2Br films. In the prepared high-quality CsPbI2Br films, the fabricated PSCs achieved 16.4% efficiency in a small area. The devices displayed high stability, retaining ~91% of the initial efficiency for more than 1000 h under 85 °C and N2 conditions and ~90% for 2000 h at a relative humidity of 20% without encapsulation. More importantly, this developed strategy can be employed for the production of large-area perovskite solar modules. A mini perovskite solar module with an efficiency up to 12.4% in a large area of 16 cm2 was successfully fabricated.
A Deep Learning-Based Multi-model Approach to Sentiment Analysis
Authors: Sarkar Avik , Rakshit Pranati 
Published: October 2022

Abstract
Nowadays, all over the world a great deal of data is being created every day at every instant through several electronically driven social platforms namely Facebook, WhatsApp, Twitter, etc. Data thus created may consist of negotiation between a businessman and a customer during the online purchase of different things, Chit-chat between friends by using different types of emojis, an online discussion between the educationists and the students, and pasting and uploading of interesting pictures and videos, etc. People from all spheres of society are engaged in expressing their views and sentiments through these worldwide networking systems. At the same time in recent days, several powerful machines and deep learning tools have emerged to analyse this huge bulk of data to visualize the social, economic, political, and psychological scenarios of different communities, states, and nations. In this article, the authors have adopted a deep learning-based multimodal approach to investigate and compare the efficiencies of different deep learning architectures namely Multi-Layered Perceptron (MLP), Recurrent Neural Network (RNN), Bi-directional RNN, Long and Short Memory (LSTM), Bi-directional Long and Short Memory (Bi-LSTM) have to carry out the important task of sentiment analysis. The noticeable results, conclusions, and applications that emerged from the study will be discussed in a systematic manner. Some relevant references consulted during the literature survey of this work will be presented afterward. Finally, the authors acknowledge the helps they have received during the successful completion of this article.
Association of polymorphism of the enzyme catechol-o-methyltransferase with fibromialgic syndrome and its clinical repercussions
Authors: Junior Juares Antonio Cividini , Souza Jéssica Azevedo Moraes , Bulhões Gevanil Lene Arruda , Pelloso Lia Rachel Chaves do Amaral , Santos Fabrício Rios , Galera Bianca Borsatto 
Published: October 2022

Abstract
Background: Fibromyalgia syndrome (FMS) is a clinical condition that mostly affects women of working age, with chronic diffuse pain, physical disability, mood swings, anxiety, fatigue and insomnia. Although its pathophysiology is not fully understood, it is believed that there are genetic contributions to its origin. There is evidence that some single nucleotide polymorphisms (SNPs) can change the function of proteins that participate in pain modulation, increasing the individual's susceptibility to pain processes. Catechol-O-methyltransferase (COMT) is an enzyme responsible for the inactivation of catecholamines in the central nervous system, participating in descending nociceptive inhibitory pathways. Polymorphisms in the gene encoding COMT can impair its formation and, consequently, its function, accentuating painful conditions in FMS patients. This study verified the association of SNPs rs4680, rs6269, rs4633 and rs4818 of the COMT gene with clinical aspects in patients with FMS undergoing treatment in public and private health services in Cuiabá, Mato Grosso Estate, Brazil.
Methods: Forty-seven volunteers who underwent medical follow-up by FMS were selected, in which the Fibromyalgia Impact Questionnaire, the Beck’s Depression and Anxiety Inventories, the Insomnia Severity Index and the Mini-Mental State Examination were applied, in order to evaluate the clinical repercussions of the disease. Blood samples were collected for genetic evaluation. The DNA was extracted by salting out and the SPNs were evaluated by real time reverse transcription polymerase chain (RT-PCR). The association between clinic and SPNs was tested by the Fisher's exact test. A 95% CI and p value < 0.05 were adopted.
Results: The results showed that there was no association between such SNPs and the participants' clinic regarding the tests used.
Conclusions: This study showed that, although the disease has an important impact on patients' daily lives, increasing the chances of depression, anxiety, insomnia and cognitive losses, it is not associated with the SNPs researched. Further investigations, with larger samples, are needed to assess these and other associations between genetics factors and FMS.
Stakeholder engagement for sustainable water supply management: what does the future hold?
Authors: Langsdale Stacy M. , Cardwell Hal E. 
Published: October 2022

Abstract
Sustainable water supply and water resource management relies on effectively engaging stakeholders in decision making. With water conflicts increasing due to stressors such as population growth, climate change, and aging infrastructure, stakeholder engagement holds the promise to improve decisions, save time and money, and improve relationships between governing bodies and stakeholders. This opinion paper reviews the benefits of engaging stakeholders in water supply management decision-making, assesses the current state of the practice, and predicts future trends in the North American setting. The current use of technology will undoubtedly continue, allowing water managers to engage more stakeholders and engage them more substantively. We predict increased roles for the private and nongovernmental sectors in stakeholder engagement, taking place at different scales, but with a focus on the local level. Evaluating the benefits and effectiveness of engagement processes will help justify the investments, and also support practitioners to determine the most appropriate tools and techniques. Finally, foundational principles of open communication, building and maintaining trust, and ethical decision-making must be placed front and center. We see continued growth in the importance, tools, and application of stakeholder engagement as water managers and the communities they serve to strive towards sustainability.
Topical Advances in Mucoadhesive Ocular Drug Delivery System
Authors: Billowria Koushal , Sandhu Navjot Kaur , Singh Baljinder 
Published: October 2022

Abstract:
The current article mainly highlights mucoadhesive drug delivery with merits like the prolonged
holding time at the action site and also provides a controlled rate of drug release for improved
therapeutic outcomes. Moreover, mucosal delivery can eliminate problems of the conventional oral
route, such as first pass metabolism as well as acid degradation. However, the eye has unique anatomy
and physiology that can cause hindrance and challenges in comparison to the other organs of the body.
Additionally, conventional delivery vehicles like solutions, suspensions, and ointments have many demerits
such as rapid precorneal clearance, subject variability, drainage, and uncontrolled release from
the dosage form. Therefore, novel pharmaceutical ophthalmic formulations like gels, nanosuspensions,
nano-particles, liposomes, microemulsions, iontophoretic dosage forms, and ocuserts were tried and
tested in the past few years for ophthalmic delivery. These novel delivery products provide enhanced
solubility and bioavailability in a controlled manner to overcome conventional demerits. Here in this
review, we have summarized the improvement of drug studies that are currently underway for eye drug
carriers, along with stages and important aspects of novel drug delivery to the eye.