Miracle-dz/UniFAR-FTUs huggingface dataset:
Adjustment of Couples to the Transition to Retirement: The Interplay of Intra- and Interpersonal Emotion Regulation in Daily Life

Background: Retirement is a central transition in late adulthood and requires adjustment. These processes not only affect the retired individuals but also their romantic partners. The aim of this study is to investigate the interplay of intrapersonal emotion regulation (rumination) with interpersonal regulation processes (disclosure quality). Furthermore, the associations of daily retirement-related disclosure with adjustment symptoms in disclosing and the listening partner will be investigated. It is expected that the effects of disclosure alter after providing the couples with a self-applied solitary written disclosure task in order to support their intrapersonal emotion regulation. Methods: In this dyadic online-diary study, 45 couples (N = 45) with one partner perceiving the adjustment to a recent retirement as challenging reported rumination, perceived disclosure quality (repetitive, focused on negative content, hard to follow, disclosing partner open for common/authentic), retirement-related disclosure, and ICD-11 adjustment symptoms preoccupation and failure to adapt were assessed at the end of the day over 14 days. In the middle of this assessment period, couples performed a modified online-expressive writing about their thoughts and feelings regarding the transition to retirement. Results: The double-intercept multilevel Actor–Partner Interdependence Models (APIM) reveal that on days with more daily rumination, the spouse perceived that disclosure of the retiree is more difficult to follow, more negative, and repetitive. In contrast, the retiree perceived less authenticity and openness to comments during disclosure on days when the spouse reports more rumination. Retirement-related disclosure showed no within-couple association with failure to adapt but actor effects on preoccupation. Moreover, a partner effect of disclosure of the retirees on the preoccupation of spouses could be observed. This contagious effect of the retiree disclosure, however, disappeared during the week after writing. Conclusion: Our results support the notion that disclosure processes are altered during maladaptive intrapersonal emotion regulation processes. This in turn seems to lead to less effective interpersonal regulation and contagious spilling over of symptoms. Supporting intrapersonal emotion regulation seems to have the potential to allow more favorable interpersonal regulation processes and to free interpersonal resources for an individual adjustment. This has implications for further planning of support for couples facing life transitions and aging-related changes.
A Holistic Approach to Human-Supervised Humanoid Robot Operations in Extreme Environments

Nuclear energy will play a critical role in meeting clean energy targets worldwide. However, nuclear environments are dangerous for humans to operate in due to the presence of highly radioactive materials. Robots can help address this issue by allowing remote access to nuclear and other highly hazardous facilities under human supervision to perform inspection and maintenance tasks during normal operations, help with clean-up missions, and aid in decommissioning. This paper presents our research to help realize humanoid robots in supervisory roles in nuclear environments. Our research focuses on National Aeronautics and Space Administration (NASA’s) humanoid robot, Valkyrie, in the areas of constrained manipulation and motion planning, increasing stability using support contact, dynamic non-prehensile manipulation, locomotion on deformable terrains, and human-in-the-loop control interfaces.
De novo Transcriptome Assembly and Comparative Analysis Highlight the Primary Mechanism Regulating the Response to Selenium Stimuli in Oats (Avena sativa L.)

Selenium is an essential microelement for humans and animals. The specific processing technique of oats can maximize the preservation of its nutrients. In this study, to understand the genetic response of oats in a high-selenium environment, oats were treated with sodium selenate for 24 h, and transcriptome analysis was performed. A total of 211,485,930 clean reads composing 31.30 Gb of clean data were retained for four samples. After assembly, 186,035 unigenes with an average length of 727 bp were generated, and the N50 length was 1,149 bp. Compared with that in the control group, the expression of 7,226 unigenes in the treatment group was upregulated, and 2,618 unigenes were downregulated. Based on the sulfur assimilation pathway and selenocompound metabolic pathway, a total of 27 unigenes related to selenate metabolism were identified. Among them, the expression of both key genes APS (ATP sulfurylase) and APR (adenosine 5′-phosphosulfate reductase) was upregulated more than 1,000-fold under selenate treatment, while that of CBL (cystathionine-β-synthase) was upregulated 3.12-fold. Based on the transcriptome analysis, we suspect that the high-affinity sulfur transporter Sultr1;2 plays a key role in selenate uptake in oats. A preliminary regulatory mechanism explains the oat response to selenate treatment was ultimately proposed based on the transcriptome analysis and previous research.
Crowdfunding Success Factors: A State-of-the-Art Analysis

Over the last few years, crowdfunding has gained attention as an alternative source of funding for a variety of projects. Increasing numbers of creative, artistic, and entrepreneurial projects search for funding from the crowd. Although first variables with impact on a project's funding success have been identified, a comprehensive understanding towards creating successful crowdfunding projects remains unclear. This paper analyzes the existing body of knowledge regarding crowdfunding success factors. As a result, we propose a fundamental framework with four dimensions to structure the existing insights of crowdfunding success factors and derive a research agenda to guide further research. 380 33 RD BLED ECONFERENCE ENABLING TECHNOLOGY FOR A SUSTAINABLE SOCIETY
Effect of Reaction and Adsorption at the Surface of Porous Pellets on the Concentration of Slurries

In this work, we analyze the influence of interfacial reaction and adsorption processes over the predictions of the unsteady average macroscopic concentrations in slurries. The isothermal mass transport model consists of the equations for the well-mixed fluid and the one corresponding to the pellets. The latter consist of porous media where first-order reaction kinetics and linear adsorption take place. The interfacial flux boundary condition considers the mass transfer resistance in the fluid, as well as superficial reaction and accumulation terms. The model solution is carried out by means of Fourier series expansions. It is shown that, unless the adsorption and reaction at the surface of the porous pellets are much more intense than in the bulk, the error introduced by not considering these interfacial phenomena is negligible. The results from this work are relevant for improving design and control applications of slurries involving fast reactions or strong adsorption.
The Endemicity of Lassa Fever in West Africa; Appropriate Mitigative Measures

Lassa fever is an ancient disease and is endemic in most West African countries. Importantly, Lassa fever is a dangerous and virulent disease because it exerts deleterious effects on many vital organs in the body. Due to its endemic nature and the yearly occurrence of the disease in terms of infection and mortality cases in some West African countries, specifically Nigeria, there is need to reexamine and reemphasize viable prevention alternatives. On this backdrop, this review provides a broad overview of Lassa fever, with the main emphasis on preventive measures. Infection with the Lassa fever virus has severe consequences on health; in this respect, multifaceted preventive measures that ensure and guarantee no contact with multimammate rodents should be adopted. Furthermore, contact with the feces and urine of multimammate rats should be avoided, personal hygiene should always be practiced, environmental sanitation should be ensured and carried out often, the consumption and eating of rats should be discouraged, abolished and ultimately stopped, and food containers should always be kept tight and closed.
External Bit Duplication Method for Rate-Сompatible LDPC Codes *

This paper proposes new method for changing the coding rates of low-density parity-check (LDPC) codes. This method allows obtaining a code set with different rates from a higher-rate code (mother code). The proposed method can be applied to any mother code; especially it is more efficient for mother code with an irregular parity-check matrix, where the 1s are unevenly distributed on the columns. In addition, this method differs in that the structure of the parity-check matrix is completely preserved, which reduces the computational cost of reconstructing the pair encoder/decoder. Simulation results demonstrate that the designed method is superior to the conventional method puncturing of bits as the rate decreases.
The representativeness heuristic at work in decision-making: building blocks and individual-level cognitive and behavioral factors

This paper aims to develop a conceptual framework on how the representativeness heuristic operates in the decision-making process. Specifically, the authors unbundle representativeness into its building blocks: search rule, stopping rule and decision rule. Furthermore, the focus is placed on how individual-level cognitive and behavioral factors, namely experience, intuition and overconfidence, affect the functioning of this heuristic. ,From a theoretical standpoint, the authors build on dual-process theories and on the adaptive toolbox view from the “fast and frugal heuristics” perspective to develop an integrative conceptual framework that uncovers the mechanisms underlying the representativeness heuristic. ,The authors’ conceptualization suggests that the search rule used in representativeness is based on analogical mapping from previous experience, the stopping rule is the representational stability of the analogs and the decision rule is the choice of the alternative upon which there is a convergence of representations and that exceeds the decision maker's aspiration level. In this framework, intuition may help the decision maker to cross-map potentially competing analogies, while overconfidence affects the search time and costs and alters both the stopping and the decision rule. ,The authors develop a conceptual framework on representativeness, as one of the most common, though still poorly investigated, heuristics. The model offers a nuanced perspective that explores the cognitive and behavioral mechanisms that shape the use of representativeness in decision-making. The authors also discuss the theoretical implications of their model and outline future research avenues that may further contribute to enriching their understanding of decision-making processes.
C. tropicalis promotes chemotherapy resistance in colon cancer through increasing lactate production to regulate the mismatch repair system

Due to chemotherapeutic drug resistance, tumor recurrence is common in patients with colorectal cancer (CRC) and chemo-resistant patients are often accompanied by defects in the mismatch repair system (MMR). Our previous study has shown that Candida tropicalis (C. tropicalis) is closely related to the occurrence and development of colorectal cancer, but whether this conditional pathogenic fungus is involved in chemotherapy needs further investigation. Here we found that C. tropicalis promoted chemotherapy resistance of colon cancer to oxaliplatin. Compared with oxaliplatin-treated group, the expression of functional MMR proteins in tumors were decreased in C.tropicalis/oxaliplatin -treated group, while the glycolysis level of tumors was up-regulated and the production of lactate was significantly increased in C.tropicalis/oxaliplatin -treated group. Inhibiting lactate production significantly alleviated the chemoresistance and rescued the decreased expression of MMR caused by C. tropicalis. Furthermore, we found that lactate down-regulated the expression of MLH1 through the GPR81-cAMP-PKA-CREB axis. This study clarified that C. tropicalis promoted chemoresistance of colon cancer via producing lactate and inhibiting the expression of MLH1, which may provide novel ideas for improving CRC chemotherapy effect.
Performance Evaluation of High-Resolution Ultrasound versus Magnetic Resonance Imaging in Diagnosing Peripheral Nerve Pathologies

Abstract Background High-resolution ultrasound (HRUS) and magnetic resonance neurography (MRN) are considered complementary to clinical and neurophysiological assessment for neuropathies. Aims The aim of our study was to compare the accuracy of HRUS and MRN for detecting various peripheral nerve pathologies, to choose the correct investigation to facilitate prompt patient management. Materials and Methods This prospective study was done using HRUS with 14 MHz linear-transducer and 3 or 1.5T MR in cases referred for the assessment of peripheral nerve pathologies. Image interpretation was done using a scoring system (score 0–3 confidence level) to assess for nerve continuity/discontinuity, increased nerve signal/edema, fascicular change, caliber change, and neuroma/mass lesion. We determined the accuracy, sensitivity, and specificity of these modalities compared with the diagnostic standard determined by surgical and/or histopathological, if not performed then clinical and/or electrodiagnostic evaluation. Results The overall accuracy of MRN was 89.3% (specificity: 66.6%, sensitivity: 92.6%, negative predictive value [NPV]: 57.1%, positive predictive value [PPV]: 95%) and that of HRUS was 82.9% (specificity: 100%, sensitivity: 80.4%, NPV: 42.8, PPV: 100). The confidence level for detecting nerve discontinuity and change in nerve caliber was found to be higher on ultrasonography than magnetic resonance imaging (MRI) (100 vs. 70% and 100 vs. 50%, respectively). Pathology of submillimeter caliber nerves was accurately detected by HRUS and these could not be well-visualized on MRI. Conclusion HRUS is a powerful tool that may be used as the first-line imaging modality for the evaluation of peripheral nerve pathologies, and a better means of evaluation of peripheral nerves with submillimeter caliber.
An Optimized Approach to Manage Energy Depletion in Routing Protocol for WSN

Routing is a process of determining a route between the source node and the sink node on the request of data communication. Route means path and route optimization means to choose the best path for efficient energy consumption and long life of network. Reducing energy consumption is the major concern for the enhancement of the network lifetime. These are the key requirements in the design of WSN protocols. Communications are the main element in energy consumption whether between node to node or node to sink. Several paths exist between each node and sink. Many different paths exist between each node and sink. Using optimized routing protocol, nodes determine a best possible path for sending data to sink. Routing protocols in wireless sensor networks regard as different parameters in their routing process according to their application. In the proposed system PSO based clustering algorithm is implemented, which improved the basic AODV protocol. Performance evaluation of AODV & AODV-PSO is evaluated on the basic of following performance metrics i
Poster: Network Performance Upgrade by Cut Spanners

In this paper, we introduce a new spanner algorithm which is based on computation of minimum cuts, and insertion of the edges crossing the cut to the spanner. The aim is to decrease the number of active links in the network while still maintaining the ability of the SDN (software defined networking) controller to perform load balancing. The spanner also can be used in order to reduce the running time of the SDN centralized routing algorithm to use. We present an algorithm to dynamically maintain the spanner under link insertion, deletion and changed weight. The analysis and simulation results show the superiority of our approach in many cases.
miR-30a/SOX4 Double Negative Feedback Loop is modulated by Disulfiram and regulates EMT and Stem Cell-like properties in Breast Cancer

Background: Both epithelial-to-mesenchymal transition (EMT) and cancer stem cells play important roles in development and progression of breast cancer. MicroRNA (miR)-30 family members have been reported to be associated with the regulation of EMT and stem cell phenotypes, however, the underlying molecular mechanisms are not well understood. Methods: miR-30a stable transfectants of breast cancer cell lines were created using a lentiviral system. Bioinformatics analysis was performed to explore miR-30a target genes and SOX4 was selected and identified by dual luciferase reporter assay. The effects of miR-30a and target gene SOX4 on EMT and CSC phenotypes in breast cancer were explored in vitro and in vivo. Results: Overexpression of miR-30a in breast cancer cells inhibited EMT and CSC phenotypes by targeting SOX4. Luciferase reporter assay confirmed that miR-30a directly targeted 3'UTR of SOX4, and formed a double-negative feedback loop with SOX4. Functional experiments demonstrated that knockdown of SOX4 suppressed EMT and CSC phenotypes of breast cancer cells through TGF-β/SMAD pathway, which was consistent with the inhibitory effects by overexpression of miR-30a. Additionally, we found disulfiram can upregulate miR-30a expression, and high miR-30a expression was associated with a good prognosis in breast cancer patients through TCGA database. Conclusion: Our findings suggest a novel double-negative loop between miR-30a and SOX4 mediated regulation of EMT and CSC features in breast cancer through TGF-β/SMAD pathway, highlighting a novel therapeutic target for breast cancer.
The Influence of Occupation, Socio-Economics, History of Sexually Transmitted Diseases and Health Insurance Participation on Visual Inspection with Acetic Acid Visits in Ponorogo Regency

Cervical cancer is a type of cancer that affects women of reproductive age. The incidence of cervical cancer in the world is in the second position which is a major problem of women's health, in developing countries especially in Indonesia. Health workers have been intensively taking preventive measures to reduce the high prevalence of cervical cancer in Indonesia. Precautions can be taken by action the early detection method is simple, namely visual inspection with acetic acid (VIA). This study aims to analyze the factors that influence the efforts of women of childbearing age to carry out early detection of cervical cancer using the visual inspection with acetic acid method. This research is a quantitative study with a case control study approach. A sample of 150 respondents consisting of 50 case samples and 100 control samples were obtained by using a 2-stage sampling technique, namely cluster random sampling and proportionated random sampling. Data analysis used chi square test and logistic regression. The results showed that the p value of occupation (p = 0.047), socio-economics (p = 0.138), history of sexually transmitted diseases (p = 0.318), health insurance participation (p = 0.007). The conclusion of this study is that there is an influence between occupation and health insurance participation against visual inspection with acetic acid visits.
The Problem of Retrieving Neutral Classes of Texts in Russian in Multiclass Emotional Text Analysis

The paper aims to describe the issue considering the most appropriate way of retrieving neutral subset of Internet texts in Russian. The problem described appeared within the project on the design of the classifier of Russian Internet text according to their emotion for which, apart from the eight emotional following the Lövheim’s cube model, the neutral training set is needed. Two experimental variants of neutral subsets are described and compared in the paper – one obtained as a result of emotional texts assessment by informants and another one drawn from Wikipedia. Due to the fact that any of the two subcorpora meets the criteria required for our research aim – personal story genre and zero emotion content independently of other classes – the neutral subset has been artificially created. Two-classes (emotional / neutral) classifier has been trained on Wikipedia subset in order to be able to retrieve the neutral dataset from social network public groups. The training set included 14000 text fragments for each of two classes from the VK public group “Overheard” and Wikipedia respectively. As a result of the classification 500 from 70000 of posts from social website have been claimed neutral. The study faced a problem within Emotional Text Analysis – the lack of reliable data sources for neutral texts – which has been successfully resolved combining mixed techniques.
ENHANCEMENT OF SMART HOSPITAL THROUGH IOT

: With the speedy development of sensible devices and internet of Things (IOT) technology, some traditional business sectors embrace new possibilities, significantly, in the field of Medical, the IOT technology is transforming the landscape and posing high requirements on the hospital resource management. this can be associate IOT system that would be deployed in hospitals for various applications, supports Wi-Fi and Varied knowledge collection methods, uploads the data to the cloud platform for further processing through a secure connection, and feeds back to users in time period through the user interface.
Automatic Machine Fault Diagnosis System using Discrete Wavelet Tr ansfor m and Machine Lear ning

Sounds based machine fault diagnosis recovers all the studies that aim to detect automatically faults or damages on machines using the sounds emitted by these machines. Conventional methods that use mathematical models have been found inaccurate because of the complexity of the industry machinery systems and the obvious existence of nonlinear factors such as noises. Therefore, any fault diagnosis issue can be treated as a pattern recognition problem. We present here an automatic fault diagnosis system of hand drills using discrete wavelet transform (DWT) and pattern recognition techniques such as principal component analysis (PCA) and artificial neural networks (ANN). The diagnosis system consists of three steps. Because of the presence of many noisy patterns in our signals, we first conduct a filtering analysis based on DWT. Second, the wavelet coefficients of the filtered signals are extracted as our features for the pattern recognition part. Third, PCA is performed over the wavelet coefficients in order to reduce the dimensionality of the feature vectors. Finally, the very first principal components are used as the inputs of an ANN based classifier to detect the wear on the drills. The results show that the proposed DWT-PCA-ANN method can be used for the sounds based automated diagnosis system.