bluuebunny/crossref_metadata_2025_split huggingface dataset:
Design and fabrication of solar powered smart prototype wheelchair for quadriplegic (disabled) persons
Authors: Achirgbenda Victor , Okoli Kingsley 
Published: September 2022

Abstract
Background
Disabled persons with weak limbs and joints find it impossible to manoeuvre a manual wheelchair which is abundant in some countries for long distances leaving them with the option of an electric wheelchair which are very costly. This paper focuses on achieving seamless control of a smart wheelchair via voice command and control buttons for easy and convenient movement of people with quadriplegic problems thereby, the design of a cost effective, sustainable and efficient solar powered wheelchair.
Methods
Materials used included mild steel, aluminium, galvanized pipe, backrest, seat, leg rest, foot rest, headrest, DC battery, solar module, panel for control buttons and DC motors. The 3D modelling and assembling was carried out using CREO parametric software and a dummy of 85kg was used to test run on a loop to arrive at findings.
Results
The maximum speed reached was 12.55 ± 0.44 km/h while the minimum speed was 6.23 ± 0.09 km/h. The total cost of the wheelchair was ₦ 174,000.00, this shows a sharp contrast to the cost of the imported ones in the market which is about ₦ 600,000.00. ($1 = N 450.00).
Conclusion
The wheelchair which is cost effective responded to commands issued, and also can allow for long distance travels as a result of the solar panel for charging.
Fluoxetine use for the treatment of anxiety-induced vomiting in 3-year-old children with complex trauma and developmental concerns: A Case Report
Authors: McNeil Daniel J. , Preston Deborah L. , Blackwood Maggie , Porter Hillary 
Published: September 2022

Abstract
Background
Heightened anxiety often is seen in children with trauma histories and complex healthcare problems, and vomiting is a common anxiety reaction. Fluoxetine has demonstrated clinical safety and efficacy in pediatric patients. However, there are no published case examples of the pharmacological management of anxiety-induced vomiting in young children.
Case Presentation:
Cases involve two 3-year-old females with multiple health conditions and neglect, presenting with anxiety-induced vomiting. Fluoxetine was prescribed due to the anxiety-related gastrointestinal symptomatology and subsequently reduced vomiting and increased nutritional intake benefiting overall health.
Conclusions
Outcomes of these cases suggest the possible efficacy of fluoxetine even in young children with anxiety-related symptoms, including vomiting. Four justifications for off-label use of fluoxetine for the anxiety component of vomiting in young patients are described, including multifactorial approaches, evidence-based decision making, safety, and severity. Future directions and guidelines will be discussed.
Energy Efficient Based Resource Allocation in 5g Ultra Dense Networks Using Artificial Neural Network
Authors: Sivasankaran V. , Arumugam Sampathkumar , Goyal S. B. , Yuvaraj N. , Jule Leta Tesfaye , Ramaswamy Krishnaraj , Elngar Ahmed A. 
Published: September 2022

Abstract
The demand for the fastest communication is a key concern for IoT technology with recent advances in the Internet of Things (IoT). With the advent of 5G telecommunications networks, the request for the quality of service (QoS) satisfaction in IoT communication can be bridged. Henceforth, a large number of devices will not be under limited resource assignment through the integration of the 5G telecommunications network. In this article, we address the above limitation on allocation by machine-learning, called the Artificial Network of prominent IoT devices (ANN). The adoption of the rules in ANN implies the allocation of resources to the most important devices and reduces them on the basis of priority. The simulation was conducted to test the effectiveness of the fuzzy system with 5G resources allocated to the IoT model. The findings indicate that the ANN model is more resource-allocating and energy efficient than other methods.
Effects of Adverse Childhood Experiences and Chronic Health Conditions on Current Depression
Authors: Overloop Erica Van , Arms-Chavez Clarissa , Carol Rolando , LoBello Steven 
Published: September 2022

Abstract
Purpose
The purpose of this study was to determine the independent and combined ability of three adverse childhood experience (ACE) types (household dysfunction, emotional/physical abuse, and sexual abuse) to predict current depression among adults. A second purpose was to determine the contribution of ACEs to depression scores after controlling for covariates and chronic illness.
Method
Adult respondents to the 2010 Behavioral Risk Factor Surveillance System (n = 20,345) were divided into currently depressed (n = 918) and not depressed (n = 19,427) groups based on Patient Health Questionnaire-8 (PHQ-8) scores. Binary logistic regression was used to determine the ability to predict current depression while controlling for effects of age, sex, marital status, employment, educational attainment, and number of chronic illnesses. Hierarchical multiple linear regression determined the effect of ACEs on PHQ-8 depression scores after accounting for the covariate set and chronic illnesses.
Results
Sexual Abuse has the strongest association with current depression of any single ACE (OR = 4.8, 95% CI = 2.1–10.8). The two-ACE combinations were generally as strongly associated with depression as sexual abuse alone. Experiencing all three ACEs confers the greatest increased risk of current depression (OR = 8.8, 95% CI = 5.6–13.8). Number of chronic illnesses account for about 2% of the variance in depression scores, while ACEs account for about 7% of the variance in current depression scores after controlling for covariates and chronic illness.
Conclusions
Self-reported adverse childhood experiences are significant predictors of current depression among adults after controlling for the effects of sociodemographic variables and chronic illness.
The original of the ion transport, charge transfer and energy exchange in the electrochemical interface
Authors: Gao Guoping , Wang Lin-Wang 
Published: September 2022

Abstract
The ion transport, charge transfer and energy exchange as encountered in the electrochemical interface are critical for our understanding of all electrochemistry processes. In this work, the proton transport in the Volmer reaction is divided into two steps: a proton migration from the outer Helmholtz layers to the inner Helmholtz layers and its reduction on the Pt electrode. The electron and energy evolution during these steps under constant potential is investigated by a grand canonical fixed-potential method, instead of the commonly used fixed charge method. Thus, in the whole Volmer reaction, the obtained electron of the system (\({N}_{oe}\)) is composed of the induced charge caused by the proton migration (\({N}_{ic}\)) and reaction charge consumed in the reduction step (\({N}_{rc}\)). In conflict with the commonly held assumption that one electron is obtained solely in the reduction step (\({N}_{oe}={N}_{rc}\)), we found that the induced charge is more than the reaction charge. The \({N}_{ic}\) during the proton migration is caused by electrostatic effect in order to maintain the potential of the electrode. Since the electron carries an energy proportional to the electrode potential, the proton migration step is an essential electrochemistry step with its energy containing a \({N}_{ic}*U\) term, which changes the energy diagram of the Volmer reaction. This also changes the proton profile in the double layer, including the accumulation of protons near the negatively charged electrode. As a consequence, the pH is negatively proportional to the absolute electrode potential, but inversely proportional to its distance from the electrode. These conclusions are different from the ones obtained from constant charge calculations.
A challenging diagnosis and management of patient acquired thrombotic thrombocytopenic purpura (TTP) versus catastrophic antiphospholipid syndrome in a patient with Moya-Moya disease, case report, and literature review
Authors: Guevara Nehemias , Marmanillo Gabriela , Castelar Jorge , Ciobanu Camelia , Fulger Ilmana 
Published: September 2022

Abstract
Moyamoya disease is a cerebrovascular condition, characterized by chronic progressive stenosis of the terminal portion of the bilateral internal carotid arteries or the proximal portion of the anterior and/or middle cerebral arteries, which leads to the formation of an abnormal vascular network composed of collateral pathways at the base of the brain. Moya-Moya disease has been associated with multiple immune disorders, however, only one case of acquired thrombotic thrombocytopenic purpura has been documented in association with this disease, and none associated with antiphospholipid syndrome. We are presenting a challenging case where all these three medical conditions were present at the same time.
Design of Folded Cascode Operational Transconductance Amplifiers (FC-OTA) based on Carbon Allotropes and their Comparative Analysis
Authors: Islam Mir Bintul , Nizamuddin M. 
Published: September 2022

Abstract
In this work, a folded cascode operational transconductance amplifier using CNTFET and GNRFET has been designed and simulated using HSPICE software. The structures of FC-OTA are formed using pure CNTFET and its hybrids which involve combination of CNTFET and CMOS both and lastly a structure has been formed using GNRFET. The detailed study reveals that compared to conventional CMOS-based FC-OTA, the performance of CNTFET- based FC-OTAs shows a lot of improvement. An appreciable increase in dc gain, output resistance and CMRR is observed in CNT based FC-OTA as compared to conventional CMOS-based FC-OTA. The phase margin (PM) and gain margin (GM) obtained in CNT- based FC-OTAs shows that they are quite stable. In addition, GNRFET-FC-OTA was also simulated and compared with CNTFET-FC-OTA. On comparison, it showed that CNT-based device showed significant increase in dc gain compared to GNRFET-FC-OTA. The performance of proposed FC-OTAs was further studied by changing CNT diameter, CNT pitch and no of CNTs and it was observed that by using optimized values for these parameters, the performance of proposed FC-OTA can be improved significantly. To sum up, it was observed that folded cascoded technique has significantly increased the gain in CNTFET-based FC-OTAs.
A field data-based approach for risk and relative efficiency assessment of rock bolt designs in underground coal mines
Authors: Aghababaei Sajjad , Jalalifar Hossein 
Published: September 2022

Abstract
Optimizing or revising support systems are inevitable due to the existence of high probabilities and uncertainties in underground mines. For this aim, field data and measurements are the only scales available to truly measure the performance of these systems. This paper presents a site-dependent approach for optimizing/revising the applied rock bolt support systems and estimating the efficiency of installation operation based on the field data for underground coal mines. For this purpose, a comprehensive database containing field data from 128 different mining locations of an underground coal mine was taken into account. At first, the relationships between field data and measured displacement by installed tell-tale extensometers (TTD) in the roof to determine the effective parameters on the roof instability were analyzed. In the following, a method was introduced to calculate the weighting factor of the effective parameters in the system using coefficient of determination (R2) and sensitivity index (SI). The sensitivity index was developed for sensitivity analysis of all considered parameters on TTD under fair conditions. Then, a method entitled field data-based risk index (FDRI) model was presented to evaluate the risk of roof instability supported by rock bolt systems which was validated by the considered case study. Finally, a process was proposed to optimize/revise a rock bolt design using the results of FDRI model and introduced data-driven efficiency (DDE) theory. DDE theory was provided to relative estimation of the efficiency of the installation operation of rock bolts. This research presents a systematic method for selecting the effective parameters on an issue or hazard, determining their weight in the system and carrying out relevant ratings needed for risk assessment.
Design, Synthesis and Anticancer Activity Studies of Novel Indole Derivatives as Bcl-2/Mcl-1 dual inhibitors
Authors: Liu Yingfei , Li Jianjun , Zhou Guanghui , Zhang Jiale , Teng Yu , Bai Zhushuang , Liu Tingting 
Published: September 2022

Abstract
A series of novel indole derivatives were designed, synthesized and evaluated for the binding affinity of Bcl-2 family proteins and antiproliferative activity against three selected cancer cell lines (PC-3, Jurkat, and MDA-MB-231). The preliminary structure-activity relationship (SAR) for this indole scaffold was summarized. Among all the compounds, compound 9k showed the best inhibitory activity against Bcl-2 and Mcl-1 proteins with IC50 values of 7.63 µM and 1.53 µM, respectively, which is comparable to the positive control AT-101. The docking study of it with Bcl-2 and Mcl-1 proteins indicated that it could bind to the active pocket of them through Van der Waals forces, hydrogen bond, etc. However, the three compounds with good binding affinity of Bcl-2 protein exhibited weaker antitumor activity compared to AT-101, which need further modification.
Bagging-based Adaptive Synthetic Oversampling Algorithm for Robust Policy Search in Reservoir Management
Authors: Ji Sukwang , Ahn Kuk-Hyun 
Published: September 2022

Abstract
Reliable policy search is essential in improving reservoir operations to satisfy multi-sectoral needs such as flood control and water supply. Given its importance, this topic has been widely explored in reservoir control studies. However, previous studies have observed that optimized policies tend to overfit to the training data, and are thus prone to be controlled mainly by infrequent extreme samples in the training data. This study proposes a bootstrap aggregation (bagging)-based Adaptive Synthetic (ADASYN) algorithm as an extension of the ADASYN and bagging techniques originated by machine learning literature. We illustrate the effectiveness of the bagging-based ADASYN algorithm using a case study of the Folsom Reservoir in Northern California with a binary tree-based control policy. The proposed algorithm variants are also developed to confirm the usefulness of the individual technique embedded in the final procedure. Results demonstrate that the proposed algorithm yields significant improvements in managing water supply and flood risks. In the proposed algorithm, the ADASYN technique facilitates creating a reliable set of policy trees while generating synthetic samples in reservoir inflow to augment infrequent extreme samples. Moreover, the bagging technique is beneficial in selecting the final policy tree while leading to improved out-of-sample performance. We conclude that this case study using the novel ADASYN algorithm highlights the potential to improve policy search algorithms by utilizing well-established training strategies from machine learning.
Identification and validation of a novel prognostic signature with DNA methylation-driven genes for survival prediction of breast cancer
Authors: Wu Shuang-Ling , Yu Xinmiao , Mao Xiaoyun , Jin Feng 
Published: September 2022

Abstract
Background:
Research has been accruing to demonstrate that DNA methylation plays a crucial role in the diagnosis of breast cancer mainly through regulating mRNA expression. Our study aims to construct a risk signature based on the methylation-driven genes (MDGs) to predict patients’ prognoses and identify tumors’ underlying molecular mechanisms.
Methods:
The data included in this study were downloaded from TCGA and GEO databases. Subsequently, univariate Cox regression and LASSO Cox regression analyses were constructed to identify prognostic MDGs and construct a risk signature. We have also used the ROC curve and Kaplan-Meier analysis to assess the predictive performance of the signature. Multivariate Cox regression analysis was used to identify the independent prognostic factor, and a nomogram was built to facilitate the use of the signature in clinical. Finally, GSVA, TISIDB, CIBERSORT, and drug-sensitive analyses were used to explore the potential mechanisms, and an eRNA network was constructed to identify potential regulators of the risk signature.
Results:
A total of 288 MDGs were identified in breast cancer, and 19 prognosis-related MDGs were included in the risk signature to predict patients’ overall survival with satisfactory performance. We identified that the 19-gene risk signature is an independent prognostic factor and could stratify patients into low- and high-risk groups with different prognoses. Furthermore, patients under different risk situations have diverse proportions of infiltrating immune cells, frequently mutated genes, and sensitive drugs. Nomogram integrating risk signature and clinicopathological factors achieve excellent predictive ability. A ceRNA network consisting of 9 lncRNA, 38 miRNA, and 10 mRNA was constructed based on the MDGs identified in the risk signature.
Conclusions:
We have successfully constructed an MDG-based prognostic risk signature in breast cancer and established a corresponding nomogram model. Additionally, we uncovered the underlying molecular mechanisms and therapeutic targets in tumors with different risks.
Vigilance Decrement and Mind-Wandering: Two Sides of the Same Coin?
Authors: Martínez-Pérez Víctor , Andreu Almudena , Sandoval-Lentisco Alejandro , Tortajada Miriam , Palmero Lucía B. , Castillo Alejandro , Campoy Guillermo , Fuentes Luis J. 
Published: September 2022

Abstract
Background

Decrements in performance and the propensity for increased mind-wandering (i.e., task-unrelated thoughts) across time-on-task are two pervasive phenomena observed when people perform vigilance tasks. Whether vigilance decrement and mind-wandering (MW) are independent phenomena is still an open question. In the present study, we addressed such a contention by introducing two critical manipulations: increasing task demands and applying anodal high-definition transcranial direct current stimulation (HD-tDCS) over the left dorsolateral prefrontal cortex.

Method

Seventy-eight participants were randomly assigned to one of the four groups resulting from the factorial combination of task demand (low, high) and stimulation (anodal, sham). Participants completed the sustained attention to response task (SART), which included thought probes about intentional and unintentional MW. Moreover, we investigated the crucial role of alpha oscillations in a novel approach. By evaluating prepost resting EEG, we explored whether participant variability in the alpha power baseline predicted performance in MW and vigilance decrement related to tDCS or task demands, respectively, and whether such variability was a stable characteristic of participants.

Results

Our results showed that task demands exclusively affected vigilance decrement, while anodal tDCS exclusively affected the rate of MW. Critically, alpha-band activity at rest predicted tDCS-related gains in unintentional MW but not vigilance decrement and remained stable after participants completed the task.

Conclusions

These results suggest that vigilance decrement and MW are two independent phenomena. Additionally, the results provide the first evidence of how individual differences in alpha power at baseline may be of crucial importance in predicting the effects of tDCS on MW propensity.
WITHDRAWN: Effect of Ruai-Sanyin formula maintenance therapy after completion of standard adjuvant treatment on survival in women with early-stage triple negative breast cancer: A multicenter prospective cohort study
Authors: Wang Yi , Sun Chen-ping , Qin Yue-nong , Liu Guang-yu , Li Jian-wei , Gao Xiu-fei , Zhuo Rui , Lin Sen , Cao Ya-li , Gao Yu-feng , Wu Chun-yu , Zhang Shuai , Chen Jia-jing , Ye Zhen , Shao Zhi-min , Liu Sheng 
Published: September 2022

Abstract
Background
Ruai-sanyin formula (RASYF) is composed of a variety of anticancer herbs. It is widely used in the treatment of triple negative breast cancer (TNBC) and has proved to inhibit tumor growth and lung metastasis in animal models, but there is no evidence for clinical application in the real world.
Methods
We conducted this prospective cohort study at 5 research centers in China from November 2016 to December 2018. RASYF was set as an exposure factor. TNBC patients within 3 months after completion of standard adjuvant treatment were included. The exposed group received RASYF treatment, while the non-exposed group received observation. The primary end point was disease-free survival (DFS). Secondary end points included, overall survival (OS), distant disease-free survival (DDFS), relapse-free survival (RFS), QLQ-BR23 assesses quality of life in patients and adverse events.
Results
A total of 613 eligible patients with operable TNBC were enrolled, of which 588 were included in the Full Protocol Set. At a median follow-up of 48 months, DFS time was longer in those assigned to RASYF compared with observation (3-year DFS, 89.6% vs. 83.5%, [HR = 0.61, 95%CI (0.39-0.95)]; P = 0.03). Similar outcomes were observed for RFS (3-year RFS, 92.1% vs. 85.9%, HR = 0.55, [95% CI, 0.34-0.91]; P = 0.02). However, there was no statistically significant difference in OS and DDFS between the groups. In exploratory subgroup analysis, RASYF benefits were greater in patients with age under the 40 (3-year DFS, 88.4% vs. 76.1%, [HR = 0.45, 95%CI (0.21-0.95)]; P = 0.03). And RASYF is helpful to the improvement of postoperative quality of life. Comparing to the observation group, RASYF increased the mean CFB of BR23 scores in body image (12.34 vs. 8.76, P = 0.03)，sexual function (11.79 vs. 9.23, P <0.01) , future perspective (9.90 vs. 6.53, P= 0.04), and decreased the scores of systemic therapy side effects (-12.41 vs. -9.24, P = 0.01). Safety analysis showed that RASYF caused major adverse reactions including impaired liver function (4.0%) and stomach pain (6.1%), but the overall security is controllable.
Conclusion
RASYF supplementation for 2 years after standard adjuvant chemoradiotherapy has certain clinical significance in preventing recurrence and metastasis and improving the quality of life of patients with early TNBC.
Trial registration ClinicalTrials.gov: NCT03332368 Registered 6 November, 2017 (retrospectively registered)