bluuebunny/crossref_metadata_2025 huggingface dataset:
Research on pulse transmission characteristics based on combined dispersion- decreasing fiber loop mirror
Authors: Zhang Qiaofen , Pang Liangyu , Deng Yaohua , Wang Guitang , Gao Zihao , Chen Chubang
Published: September 2022

The generation of effective ultra-short laser pulses in the picosecond pulse range is very important for modern communication. This paper firstly investigates a combined dispersion-decreasing fiber (DDF) loop mirror consisting of a fourth-order super-Gaussian DDF and a Gaussian DDF. First, the transmission principle of the designed fiber loop mirror is analyzed theoretically. Secondly, the influence of the total fiber length on pulse compression is studied to obtain an optimal total fiber length. Then the length ratio of the two optical fibers in the loop mirror is analyzed and optimized to achieve a high-quality ultra-short output pulse. The results show that the optimal output pulse with no pedestal and a high compression factor of F=49.6 can be obtained at the total fiber length L=4.3km and the combined fiber length ratio of the fourth-order super-Gaussian DDF and the Gaussian DDF is equal to 0.102. Compared with the traditional DDF loop mirror, the compression factor is increased by 18.5 times, achieving a high-quality compressed pulse with higher compression factor.
RDMA Based Congestion Control Strategy for DML Training Optimization in Data Center Networks
Authors: Wu Jiagui , Qin Yang , Yang Weihong , Li Ruonan
Published: September 2022

Distributed Machine Learning (DML) is one of the important means to accelerate the training of machine learning models. However, the Remote Direct Memory Access (RDMA) technology applied in the data center network cannot well support the communication of DML during parameter synchronization, and there will be relatively large communication overhead. The TMDML (Traffic Management for DML) proposed in this paper records and maintains the state of the data stream by the network nodes, and allocates the bandwidth according to the network state. TMDML achieves higher communication efficiency while reducing the total time to complete DML tasks by alleviating the slow flow lag problem. On this basis, we design TMDML-NIC and TMDML-Switch to meet the deployment requirements of different network equipment. At the same time, we propose the fluid model of TMDML, and the experiments show that the fluid model is in good agreement with the realization method. Through the fluid model, we can not only visually see the changes of important indicators such as flow rate, but also predict these indicators to a certain extent, and can also use it to better optimize the protocol parameters. We conduct simulation experiments on DCQCN and TMDML for different deep learning models and different topologies, respectively. The experimental results show that, compared with DCQCN, TMDML reduces the number of ECNs per switch, which indicates that TMDML can better alleviate the congestion state in the network. The communication overhead caused by parameter synchronization is all reduced in our training tasks. Especially in the Fat-Tree model, there is at least a 32% reduction. This ratio will be higher on more time-consuming models and topologies with more nodes.
Evaluation of tourism and ecotourism development components in the development of rural women's entrepreneurship (case study: tourism villages of Kerman province)
Authors: Baniasadi Neda , Naghavi Somayeh
Published: September 2022

The current research aims to identify the components of tourism and ecotourism activities in rural women's entrepreneurship based on the experts' point of view. In terms of the purpose, it was conducted as survey research. The current research is a descriptive and analytical study. According to the statistics obtained from the cultural heritage organization and the governorate of Kerman province in 2019, 370 are active in the field of tourism, and of these statistics, 219 women are active in the field of tourism and ecotourism, which was estimated to be 139 according to the Cochran formula. First, by reviewing the research literature, based on the opinion of experts, 32 factors have been extracted as the final factors of tourism and ecotourism on rural women entrepreneurs, which is the research tool of the questionnaire. The findings of the research showed that there is a significant relationship between the expansion of rural tourism and ecotourism in these villages and the entrepreneurship of rural women in the dimensions of knowledge and awareness, management capabilities, environmental and economic factors, advertising and psychological factors at the alpha level of 0.05 percent. There is no significant relationship between social norms and rural women's entrepreneurship. According to the results obtained from the factor analysis model and obtaining the points or factor load of each of the indicators, 6 interrelated indicators have an effect on the first effective factor on tourism entrepreneurship. Cultural factors such as "gender norms" are the most important factors
Expansion of Vulnerability in Medical Interns During Covid-19 Outbreak
Authors: Domínguez-González Alejandro , Jiménez-Alba Jessica , Cruz-Aragón Sheila , López-Pérez Lourdes , Gómez Gilberto Guzmán-Valdivia
Published: September 2022

Objectives
This work aimed to explore and describe undergraduate medical interns' perception of their training during the Covid-19 pandemic.
Methods
A qualitative study based on grounded theory was carried out, and the data was obtained from the focus group technique. Five sessions were held with the participation of eight internal physicians in each one.
Results
The main concerns expressed by Medical Interns were academic, social, and emotional. They noted their concerns about the lack of clinical practice and the increase in the severity of symptoms of anxiety and depression that they presented during the outbreak.
Conclusions
The medical interns' perception was that the pandemic revealed the increased vulnerability due to the evident increase in the number of students with anxiety and depression. In addition, they called on the authorities to reduce stigmatization among health personnel suffering from emotional disorders and increase the presence of psychological support services in hospitals.
The effects of adipose-derived stem cell transplantation on tendon-bone healing in a model of chronic rotator cuff tear with suprascapular nerve injury
Authors: Eshima Kenichiro , Ohzono Hiroki , Gotoh Masafumi , Nakamura Hidehiro , Okawa Takahiro , Shiba Naoto
Published: September 2022

Background: Recurrence of massive rotator cuff tears (RCTs) are relatively common due to resultant muscle atrophy and fatty infiltration, possibly caused by scapular nerve (SN) injury. Growing evidence suggests that adipose-derived stem cells (ADSCs) are useful tools for regeneration in chronic RCT models. However, data on the effects of ADSCs on in chronic RCT models with SNI are limited. This study aimed to investigate the effect of ADSCs on tendon-bone healing in a chronic rotator cuff tear (RCT) model with scapular nerve (SN) injury.
Methods: Overall, 36 adult rats (weight=344±33 g) were equally divided into the ADSC (+) and ADSC (-) group. Both groups underwent right shoulder surgery in which the supraspinatus was detached, and SN injury was induced; he untreated left shoulder in the ADSC (-) group was used as a control. In the ADSC (+) group, abdominal fat was collected to culture ADSCs. At 6 weeks postoperatively, the ADSC (+) group underwent surgical tendon repair with ADSC injection, whereas the ADSC (-) group underwent tendon repair with saline injection. Shoulders were harvested at 10, 14, and 18 weeks and underwent histological, fluorescent, and biomechanical analyses.
Results:In bone-tendon junction, a firm enthesis, including dense mature fibrocartilage and well-aligned cells, was observed in the ADSC (+) group. Conversely, decreased cell density and immature fibrocartilage were observed in the ADSC (-) group. Fatty infiltration was more uncommon in the ADSC (+) group compared to that in the ADSC (-) group. The mean maximum stress and linear stiffness was higher in the ADSC (+) group than in the ADSC (-) group at 18 weeks. Neither the mean Young’s modulus nor the cross-sectional area were significantly different throughout the study.
Conclusion: ADSC injection produced better histological and biomechanical outcomes. Thus, ADSC supplementation showed a positive effect on tendon-bone healing in a chronic RCT model with SN injury; therefore, ADSC injection possibly accelerates recovery in large RCT repair.
Analysis on items of QLICD-NS (V2.0) based on Generalization Theory and Item Response Theory
Authors: Yue LIN , JunHao Guo , WenDan CHEN , ChongHua WAN , XingShan ZHANG , Pan HaiYan
Published: September 2022

Objective To apply generalization theory and item response theory to analyze the entries of the QLICD-NS (V2.0), a quality of life scale for patients with nephrotic syndrome of chronic diseases.
Methods The quality of the scale was measured by applying the overall scores of the generalization theory(GT) as well as the corresponding relative or absolute errors, generalization coefficients and reliability indices. The research also used software of Multilog 7.0 to apply difficulty, discrimination coefficients, and information content of each item of item response theory( IRT).
Results The GT results showed an even distribution of the proportion of total score contribution ratio across the 4 domains, except for social functioning. The probability coefficients of all four domains were greater than 0.50. The reliability indices of all domains were greater than 0.5 except for social functioning. The relative and absolute error variances of the four domains were within 0.30. The IRT results showed that the discrimination of the QLICD-NS (V2.0) scale was 0.82, and the items with a good degree of differentiation. Except for entry of TNS7 and TNS8, the difficulty coefficients of the remaining items were between -3.0 and 3.0 and were monotonically increasing. The information content of TNS5 and TNS8 was less than 0.12, and the mean values of information content in the remaining items met the criteria, which can be considered as good quality items.
Conclusion The QLICD-NS (V2.0) developed in this study has good performance, but a few items still need further improvement.
Disordered eating and night eating behavior in young women with Polycystic Ovary Syndrome
Authors: yuksel semra , gencer fatma ketenci , saglam nazife game usta
Published: September 2022

Purpose
The most prevalent endocrine abnormality in women, polycystic ovarian syndrome (PCOS), is accompanied with symptoms that are related to metabolism, reproduction, and mental health. Eating disorders are well known as a contributing factor to obesity in women. However, there is limited data regarding eating disorders in women with PCOS. The aim of this study is to investigate the prevalence of disordered eating in young women with PCOS and to analyze the possible influencing factors associated with disordered eating.
Methods
The women aged 18–25 years with and without PCOS (n:110 for each group) were included in this study. Eating Disorder Examination Questionnaire (EDE-Q), Night Eating Questionnaire (NEQ), Beck anxiety, and Beck depression inventories were performed by all patients.
Results
Disordered eating and night eating syndrome (NES) were found more frequently in women with PCOS than in controls (25.5% vs 2.7%; 17.3% vs 2.7%, respectively, p < 0.001). Anxiety and depression scores were also higher in patients with PCOS than in the control group (p = 0.002, p = 0.001; respectively). PCOS diagnosis (OR:7.1, CI:1.49–33.4, p = 0.014), high Homeostasis model assessment of insulin resistance (HOMA-IR) (OR:0.68, CI:0.47–0.98, p = 0.04), and being overweight (BMI ≥ 25 kg/m2) (OR:1.2, CI:1.09–1.38, p = 0.001) were found as independent factors for disordered eating according to EDE-Q global score (≥ 4).
Conclusion
Disordered eating and NES were more common in young women with PCOS than in controls. PCOS diagnosis, high HOMA-IR, and being overweight may be independent factors associated with disordered eating in women. Screening for disordered eating and night eating syndrome, especially in young women with PCOS may be recommended to help with weight management.
Sustain Our World & Maintain Our Words — Correlation Between Ecological Environment and Diversity of Chinese Dialects
Authors: Mo Ruifeng
Published: September 2022

The existing research on linguistic ecology mainly focuses on the impact of social environment on the internal ecology of language, and rarely studies the impact of natural environment on the external ecology of language from a macro perspective. This paper integrates the social environment and natural environment, together called ecological environment, and extracts ecological factors such as species number, forest area, traditional village number, population, district area and GDP for statistics. By analyzing the relationship between the diversity of Chinese dialects in China’s 34 provincial administrative regions and the ecological factors, it tries to find out which ecological factor has a significant correlation, thus, the ecological causes of the diversity of Chinese dialects are obtained. This study aims to reveal the importance of ecological environment to Chinese dialects diversity, providing reference data for dealing with problems of language endangerment, and promoting the sustainable development of language and culture. The results indicate: forest area, number of traditional villages, population and district area are weakly related to the number of Chinese dialects in the corresponding region; and there is no correlation between number of species, GDP and number of Chinese dialects in the corresponding region.
Compounds identified from the marine Sea Urchin (Diadema savignyi) as Potential Anti-Cancer Drug Candidate against Human Colorectal Cancer: A Bioinformatics Approaches
Authors: Molla Mohammad Habibur Rahman , Aljahdali Mohammed Othman Othman
Published: September 2022

The occurrence of colorectal cancer is estimated to increase by 1.9 million people by 2020, making it the second most common chronic disease. Yet, no specific drug candidates for treating this cancer have been developed or made accessible. However, the nuclear transport receptor importin-11 transports β-catenin to the nucleus and regulates the proliferation of colorectal cancer cells. The inhibition of importin-11 can block the β-catenin nuclear import and the growth of APC-mutant colorectal cancer cells. As a result, this research aimed to discover natural anti-cancer drugs that can block the function of importin-11, inhibiting the progression of colorectal cancer. The structure of 19 compounds isolated from sea urchins was initially determined using gas chromatography-mass spectrometry (GC-MS). Consequently, a molecule docking, absorption, distribution, metabolism, and excretion (ADME) approach and a molecular dynamics (MD) simulation approach were used to screen the compounds. Four molecules were initially identified with PubChem: CID 11955, CID 605775, CID 608814, and CID 6432458. Pharmacokinetics and toxicity for all compounds have been evaluated. To confirm the stability of their binding to the target protein, each compound was assessed using MD simulation methods. An in silico method revealed the top four compounds that could have pharmacological interest with a higher affinity for the target protein. Altogether, we describe here that compounds from sea urchins show interesting anti-cancer activity against importin-11, which could potentially be used to develop an anti-CRC drug. Therefore, further experimental validation is recommended to ensure a comprehensive assessment of their mechanism of action.
Design and fabrication of solar powered smart prototype wheelchair for quadriplegic (disabled) persons
Authors: Achirgbenda Victor , Okoli Kingsley
Published: September 2022

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

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

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

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

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

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

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

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

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

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

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

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

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)
Effects of magnetic tields in solid state physics, astrophysics, and in the treatment of human disesaes
Authors: Fähnle Manfred
Published: September 2022

In my paper I describe the effects of magnetic fields in solid state physics, in astrophysics, and in the magnetic therapies of human diseases.
PACS number: 75.40.-s
Using Psoriasis-Genes to readout Overlap Pathways from TCGA
Authors: Zhu Kunju , Liang Lifan , Fan Xiaonan , Lu Songjian
Published: September 2022

One major challenge in studying the psoriasis is the lack of multi-omics and sufficient measurement datasets for psoriasis, which only provides limited insights into the pathogenesis of psoriasis. As the psoriasis is associated with the dysfunction of pathways, the pathogenesis of psoriasis can be investigated with the aids of big omics data from tumors in The Cancer Genome Atlas (TCGA), a data set that is in fact the records of random pathway perturbation experiments performed by nature. We first collect psoriasis related genes found by previous researches of psoriasis. We then utilize the gene expression and genomic alteration data from thousands of tumors in TCGA cohort to identify genomic alterations that potentially perturb pathways regulating expressions of these psoriasis related genes. We have found that genomic alterations of some genes are associated with the expression changes of psoriasis related genes in tumors, which implies that the genomic alteration of these genes may perturb pathways involved in the development of the psoriasis. For example, we found that SGAs of certain genes (E.g., TNFAIP8L3, IL-23, ANGPT2, IFIH1) are highly likely to be involved in the pathogenesis of psoriasis. Enrichment analysis showed that SGAs of these genes perturb signaling pathways regulating cell proliferation and/or angiogenesis-relevant activities of cells, which are well-known to be biologically related to the development of both psoriasis and cancers. The approach of using big genomic data of tumors to search for pathways involved in the psoriasis development gains insights into the mechanism of psoriasis.
Constructing and optimizing ecological network at county and town scale: The case of Shilin County, China
Authors: Miao Xue , Jin Jing , Peng Jiansong
Published: September 2022

High-intensive land development had led to increasingly fragmented urban habitat patches, and the contradiction between regional development and ecological protection is gradually intensified. This ecological problem is spreading from cities to counties and towns, which are mainly villages and towns. Constructing a reasonable ecological network is an effective way to connect fragmented habitats and balance regional morphological and spatial patterns. Taking the Shilin County of the Yunnan province, China as the study area, morphological spatial pattern analysis and connectivity analysis were used together to identify the key ecological source areas and their importance levels. The comprehensive resistance surface based on the migration characteristics of terrestrial animals was assembled based on five variables (altitude; slope; distance to road; distance to population centers; land use map). The gravity model was used to identify the priority of the ecological corridors, and the ecological networks was derived. The results show that the initially constructed ecological network includes 11 ecological sources and 26 ecological corridors, of which seven are important ecological corridors that need priority construction. However, the ecological networks were less distributed in the northern regions, so three supplementary ecological sources and ten supplementary ecological corridors were added to optimize the ecological network. In addition, there are significant differences in the size and number of ecological source sites and corridors between townships, and targeted construction strategies are necessary. The in-depth analysis from county to township makes the construction and management of ecological networks more maneuverable in national administration. This study provides guidance for constructing ecological network structures in townships with complex landscape types, and may also provide lessons for other regions. Through an in-depth analysis from county to town, this study can provide guidance to construct the township ecological network structure with complex landscape types and provide reference for other regions as well.
Isolation and screening of lactic acid bacteria producing anti-edwardsiella from the gastrointestinal tract of wild-caught catfish (Clarias gariepinus) for probiotic candidates
Authors: Nurhayati Awik P.D , Zulaika Enny , Amin Muhamad , Setiawan Edwin , Wijaya Zaki Muhammad
Published: September 2022

Members of lactic acid bacteria (LAB) have been well-known for their antagonistic activities against various bacterial pathogens infecting aquaculture species. Thus, isolation of LAB members from wild aquatic species and screening them for antimicrobial production have been intensively done in the last few decades to replace the indiscriminative use of antibiotics. The present study aimed at isolating LAB members from the intestinal tract of wild-caught catfish, Clarias gariepinus, and screening them for antimicrobial production against one of the most common bacterial pathogens, Edwardsiella ichtaluri. The result showed that a total of 29 LAB were successfully isolated and further screened for anti-edwarsiella activities. Of the 29, 6 isolates had strong anti-Edwardsiella activity (diameter of inhibition zone > 10mm). Based on their 16s rRNA gene sequences, these LABs were identified as Lactococcus lactis, Enterococcus hirae, Weissella confusa, Weissella cibaria, and Enterococcus faecalis (2 isolates). Further in vitro studies indicated that E. faecalis, L. lactis, E. confusa and E. cibaria showed the same viability except for E. hirae in the intestinal fluid simulation. All LAB had a good adhesion capacity to intestinal mucus between 3,42 − 16,72%. Four LABs were sensitive to erythromycin, oxytetracycline, and novobiocin, while E. faecalis and W. cibaria were resistant to novobiocin and enrofloxacin, respectively. In vivo assay also indicated that all six LABs were non-pathogenic to catfish. These results suggested that E. faecalis, L. lactis, and W. confusa are potential probiotic candidates in aquaculture to prevent enteric septicemia of catfish (ESC) disease. However, further studies are needed to evaluate the use of probiotics in vivo.
Simulation-Assisted Production of Stainless Steel Fasteners Using Pre-Deformed Raw Material by Cold Forging Method
Authors: BAYGUT Alper , ÇULHA Osman , YAĞCI Tuğçe
Published: September 2022

The initial properties of the raw material used while producing by cold forging change the mechanical properties of the final product resulting from deformation. Depending on the amount and speed of deformation, there is an increase in strength and a decrease in formability after cold forging on the basis of the true stress - strain curve of the material. In this study, pre-deformation of 304Cu (1.4567) quality raw material used to produce fasteners in A2-70 class by wire drawing before forging and the change of the mechanical properties of the raw material, on the basis of this change, the simulation supported design of the fastener mold and process was carried out. Simufact.forming software was used in cold forging simulation studies. According to the simulation data, the yield strength value increased from 215 MPa to 620 MPa as a result of thinning the raw material from Ø7.80 mm to Ø6.95 mm with wire drawing operation. In this case, the properties of the raw materials entering the cold forging have changed according to the deformation percentage amount, and the material properties and mold design used in the finite element simulation supported production were made according to this data. As a result of the use of this raw material in the cold forging simulation, the HV10 hardness value in the fastener head region, where deformation is intense on the basis of the die geometry, has reached the levels of 320 to 340 HV. Material flow lines, product dimensional tolerances, rolling and thread cutting processes during deformation were verified in the computer environment and physical product production was made. Hardness, strength and structural checks were performed and compared with numerical model values. Especially, the changing material properties as a result of the wire drawing process applied to the starting raw material and its effect on cold forging were investigated mechanically and metallographically.
Mobile Compatible Multi-Language Supported Hybrid Encryption Algorithm
Authors: ESKİCİOĞLU Ömer Can , ISIK Ali Hakan
Published: September 2022

Çalışmamız, günümüz şartlarına uygun simetrik tabanlı hibrit şifreleme algoritmasıdır. Temel amaç özgün tasarımla verilerimizin güvenliğini tahsis etmektir. Projemizdeki şifreleme algoritması 3 kademeli olarak tasarlanmıştır. Kademeli olarak şifreleme işleminde öncelikle statik belirlenmektedir. Belirlenen anahtarların yanına Arşimet sabiti ve ‘belirtme sayısı’ değerleri gelerek şifreleme işlemi gerçekleşmektedir. Dinamik olarak her şifreleme döngüsünde indis tekrar rastgele olacak şekilde değiştirilmektedir. Algoritma harf bazlı işlem yapmaktadır. Şifrelenen her harf için farklı indis ve belirtme sayısı fonksiyonu kullanılmıştır. Pi sayısından yararlanılarak harflere rastgele değer atama işlemleri gerçekleşmektedir. Rastgele atadığımız sayılardan oluşturduğumuz anlamlı verileri, Fibonacci dizisindeki elemanların indis sırasına göre doğrulama işlemi yapılmaktadır. Algoritmanın uygulanabilirliği bakımından çeşitli testlere tabii tutulmuştur. Yapılan bu testlerde 2KB veride %99,98, 10KB veride %99.996 ve 20KB veride %99.9962 doğruluk oranı elde edilmiştir. Oluşturulan harf havuzuna yeni eklemeler yapılabilmektedir. Harf havuzuna eklemeden sonra algoritmada herhangi bir tasarım değişikliği gerekmemektedir. Çalışmamız mobil platformlar ve çeşitli sistemler üzerinde sorunsuz olarak hizmet vermektedir. Şifreleme mekanizması kullanım açısından esnektir. Aynı giriş metni ile farklı sonuçlar elde edilmiş ve algoritmanın sağlıklı işleyişi kabul görmektedir.