Miracle-dz/UniFAR-FTUs huggingface dataset:
The Effect of Emotion Regulation on Non-Suicidal Self-Injury Among Adolescents: The Mediating Roles of Sleep, Exercise, and Social Support

Purpose To explore the relationship between adolescents’ emotion regulation ability and non-suicidal self-injury (NSSI) behavior and the role of sleep, exercise, and social support in this relationship. Methods A total of 2573 adolescents were investigated with the Cognitive Emotion Regulation Scale, the Social Support Scale for Children and Adolescents, the Ottawa Self-Injury Questionnaire, and the Self-Made Living Condition Questionnaire, and path analysis was conducted based on the structural equation model (SEM). Results 1) There was a significant correlation between emotion regulation ability and NSSI behavior; 2) sleep and social support played a mediating role between emotion regulation ability and NSSI behavior; and 3) sleep modulated the direct effect of negative emotion regulation ability on NSSI, while exercise modulated the direct effect of positive emotion regulation ability on NSSI, which indicated that sleep and exercise could effectively alleviate NSSI behavior caused by the lack of emotion regulation in adolescents.
Performance analysis of adaptive chaos-based DS-CDMA system with imperfect channel estimation

This thesis presents the analysis of chaos-based direct sequence code division multiple access (DS-CDMA) systems under imperfect channel estimation environments. Chaos-based CDMA systems are studied extensively in the last few decades, but their performances under imperfect channel estimation conditions are never studied. The main motivation of the thesis is to fill this research gap under various possible conditions. The thesis focuses on three main objectives. The first objective is to determine the effect of spreading sequences in channel estimation processes. Here performances of channel estimators in the presence and absence of chaotic spreading sequences are investigated. The second objective is to study the performances of imperfect channel estimations in chaos based CDMA systems under various fading conditions. This part mainly focuses on the various factors which deteriorate the performance of the systems. The third objective focuses on the various techniques which can improve the performances of the systems. In this part various available techniques for CDMA systems are studied under imperfect channel estimation environments. It is concluded that performances of all the available chaos based CDMA systems significantly depend on performances of channel estimators. Analytical simulation results in the thesis show that performance degradation in available systems due to various fading channels can be significantly improved by using channel estimators.
EVALUATION OF INHIBITION OF PROLIFERATION OF SK-MEL-28 CELL LINES BY ACMELLA CILIATA (KUNTH) CASS. CELL BIOMASS

Acmella ciliata (Kunth) Cass. , a medicinally important plant in the family Asteraceae, contains many phytochemicals like alkaloids, tannins, saponins, flavonoids, including a highly mportant alkylamide ‘Spilanthol’ which accounts for most of its pharmacological applications. The plant has rich commercial value because of its traditional phytomedicinal uses. The present study focused on the anticancer potentiality of cell biomass of A. ciliata obtained through cell suspension culture. The purplish friable callus raised in MS medium containing 0.5 mgl-1 BA and 1.0 mgl-1 NAA were cultured in liquid MS medium with same hormone combination. The cells after 28 days of culture were collected and quantification of spilanthol using HPLC revealed that the harvested cells from cell suspension culture of A. ciliata recorded 173.702 µgg-1 spilanthol content in them. The analysis of antiproliferative effect of the methanolic extract of the cell biomass revealed that it is capable of inhibiting or reducing the growth of SK-MEL-28 cell lines and a lower concentration i.e., 24.144 µgml-1 of extract was needed to inhibit the growth by 50%. The study suggested the effectiveness of the cell biomass extract for the inhibition of uncontrolled growth of this melanoma cells and thus throw light on the possibility of formulating an anticancerous drug from this resource thereby benefiting the pharmaceutical industry.
Financial distress and value of cash holdings: evidence from the Korean stock market

ABSTRACT This study examines how investors in capital markets evaluate the levels of cash held by financially distressed companies. Facing financial hardship, managers first lower the bankruptcy risk by reducing internal capital outflows and securing liquidity. This increases the value of the business, as investors place a higher value on financially distressed companies that hold cash than on those that do not. Empirical results using the Korean stock market show that the higher the level of financial risk, the higher the value of cash holdings. The results of this study suggest that when in financial risk, a company must have sufficient cash for a high corporate valuation.
Social Media Behaviour Analysis in Disaster-Response Messages of Floods and Heat Waves via Artificial Intelligence

This paper analyses social media data in multiple disaster-related collections of floods and heat waves in the UK. The proposed method uses machine learning classifiers based on deep bidirectional neural networks trained on benchmark datasets of disaster responses and extreme events. The resulting models are applied to perform a qualitative analysis via topic inference in text data. We further analyse a set of behavioural indicators and match them with climate variables via decoding synoptical records to analyse thermal comfort. We highlight the advantages of aligning behavioural indicators along with climate variables to provide with 7 additional valuable information to be considered especially in different phases of a disaster and applicable to extreme weather periods. The positiveness of messages is around 8% for disaster, 1% for disaster and medical response, 7% for disaster and humanitarian related messages. This shows the reliability of such data for our case studies. We show the transferability of this approach to be applied to any social media data collection.
Acrobat 3.0 (Classroom in a Book)

From the Publisher: Adobe Acrobat 3.0 Classroom in a Book covers a wide range of features, tools, and techniques of Adobe Acrobat 3.0 or later. Even if you are familiar with Adobe Acrobat, take the time to review all the lessons - you'll be surprised by how much you learn! If you are a novice, work with each lesson as many times as you want, and then move on to the next lesson. By the end of the book, you'll know Acrobat like a pro!
Lower-Body Resistance Training Reduces Interleukin-1β and Transforming Growth Factor-β1 Levels and Fatigue and Increases Physical Performance in Breast Cancer Survivors

Abstract Martins, FM, Santagnello, SB, de Oliveira Junior, GN, de Sousa, JdFR, Michelin, MA, Nomelini, RS, Murta, EFC, and Orsatti, FL. Lower-body resistance training reduces interleukin-1β and transforming growth factor-β1 levels and fatigue and increases physical performance in breast cancer survivors. J Strength Cond Res 37(2): 439–451, 2023—This article ascertains whether resistance training (RT) improves inflammatory markers, fatigue (sensations and fatigability), and physical performance in breast cancer survivors (BCS) and investigates whether the changes in the inflammatory markers, fatigue, and physical performance are associated with each other. Volunteers were randomly divided into 2 groups: control group (n = 11) and RT group (n = 11). Resistance training (3 sets of 8–12 repetitions with 80% 1 repetition maximum (1RM) on 4 exercises—leg extension, leg curl, 45° leg press, and calf raise) was performed 3 times a week for 12 weeks. Self-reported fatigue (SRF), fatigability (critical torque [CT] and W prime [W′]), muscle strength, and circulating inflammatory markers were assessed using the Brief Fatigue Inventory, iDXA, 1RM test, protocol of 60 maximal voluntary isometric contractions, and enzyme-linked immunosorbent assay, respectively. Resistance training reduced interleukin (IL)-1β, transforming growth factor (TGF)-β1, and SRF score and increased muscle strength, 6-minute walk test (6MWT), CT, and W′. In the RT group, the changes in SRF were positively associated with the changes in IL-1β. The changes in muscle strength were associated with the changes in CT and W′, and the changes in the 6MWT were associated with the changes in CT, W′, muscle strength, and SRF. Resistance training improved fatigue and physical performance and reduced IL-1β, and TGF-β1 in BCS. Although improvement in fatigability seems to be dependent on the increase in muscle strength, improvement in the sensation of fatigue seems to be dependent on the reduction in IL-1β after RT. Increase in physical performance seems to be dependent on improvement in muscle strength and fatigue.
An Improved Auto Categorical PSO with ML for Heart Disease Prediction

Cardiovascular or heart diseases consist a global major health concern. Cardiovascular diseases have the highest mortality rate worldwide, and the death rate increases with age, but an accurate prognosis at an early stage may increase the chances of surviving. In this paper, a combined approach, based on Machine Learning (ML) with an optimization method for the prediction of heart diseases is proposed. For this, the Improved Auto Categorical Particle Swarm Optimization (IACPSO) method was utilized to pick an optimum set of features, while ML methods were used for data categorization. Three heart disease datasets were taken from the UCI ML library for testing: Cleveland, Statlog, and Hungarian. The proposed model was assessed for different performance parameters. The results indicated that, with 98% accuracy, Logistic Regression (LR) and Support Vector Machine by Grid Search (SVMGS) performed better for the Statlog, SVMGS outperformed on the Cleveland, while the LR, Random Forest (RF), Support Vector Machine (SVM), and SVMGS performed better with 97% accuracy on the Hungarian dataset. The outcomes were improved by 3 to 33% in terms of performance parameters when ML was applied with IACPSO.
Early Oxygen Requirement in Patients with Mild-to-Moderate COVID-19 Who Received Regdanvimab after Delta-Variant Outbreak

Background Regdanvimab is a monoclonal antibody targeted against the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) and a treatment option for patients with mild-to moderate coronavirus disease 2019 (COVID-19). However, there has been limited information on the clinical effectiveness of regdanvimab in the Delta variant of SARS-CoV-2. Therefore, we aimed to investigate the effectiveness of regdanvimab after the Delta variant was dominant using chronological analysis of regdanvimab use in a real-world setting. Materials and Methods The electrical medical records of patients infected with mild-to-moderate COVID-19 who received regdanvimab within 7 days of symptom onset were reviewed before (February – June 2021) and after (August – November 2021) the Delta variant became predominant in Korea. Clinical outcomes were assessed by the need for oxygen supplementation, time from symptom onset to oxygen requirement, in-hospital mortality, and length of hospitalization. To match the difference between the basic characteristics of the two groups, the clinical outcomes were compared again after 1 : 1 propensity score matching. Results Patients treated with regdanvimab in the Delta-predominant group were more likely to require oxygen supplementation (17.5% vs. 6.0%, P = 0.019) and had shorter times from symptom onset to supplemental oxygen use (mean ± standard deviation [SD]: 5.8 ± 2.8 vs. 10.0 ± 3.7, P = 0.007) than those in the control group. After propensity score matching, the percentage of patient requiring oxygen supplementation was higher (15.2% vs. 6.1%, P = 0.156), while the time from symptom onset to oxygen supplementation was significantly shorter in the Delta-predominant group (mean ± SD: 4.9 ± 2.1 vs. 10.0 ± 3.7, P = 0.007) than that in the control group. Conclusion Considering that high proportion of vaccinated patients in the Delta-predominant group, this finding suggests the uncertainty whether the effect of regdanvimab is maintained even during the Delta-predominant period. It is hence necessary to continuously monitor the effectiveness of regdanvimab as new SARS-CoV-2 variants emerge.
Evaluating scaffolding in serious games with children

In scaffolding, full support (guidance) is given to the learner to support weakness and withdrawn bit by bit as learner knowledge fortifies (fading) (Martens & Maciuszek, 2013) . According to Puntambekar & Hubscher (2005), the attributes of scaffolding include diagnosis, calibration and fading. Research work on scaffolding in serious games – games with other purposes other than entertainment, has mainly focused on diagnosis and calibration often referred to in this field as player modelling and adaptivity respectively. There is barely any empirical study investigating fading this in these games. Instead of fading which is the gradual removal of scaffolding, an all-or-nothing approach is often used. The all-or-nothing could lead to cognitive overload in children. For children to have a pleasurable gameplay, it is important the cognitive load is managed effectively. The fundamental question asked in this thesis is “To what extent can scaffolding-fading improve children’s gameplay experience and knowledge gain? ” This is broken down to four research questions – 1. Does the gradual removal of guidance improve children’s gameplay experience? 2. What dimensions of gameplay experience are impacted and to what extent are they impacted by the gradual removal of guidance? 3. Would guidance fading during gameplay improve knowledge gain? 4. What effect would inappropriate guidance-fading have on gameplay? A game in which the scaffolding can be manipulated is designed for this study. A comparative study methodology with a controlled experiment, comparing gameplay in both the gradual removal and the all-or-nothing mode, is employed with the aim of measuring gameplay experience and knowledge gain in these modes. Analytics was also employed to capture performance-related gameplay metrics. These methods were combined for a more substantial explanation of findings. The key contributions made include – 1. Appropriately implementing guidance-fading for the first time in a game AND highlighting the relevance of this scaffolding mode to serious gameplay
Species Distribution and Antifungal Susceptibility Profile of Dermatophytes from a Tertiary Care Centre in North India

Abstract Objective Dermatophytoses, one of the most ancient diseases, is becoming a menace in recent times. This has made the knowledge of antifungal susceptibility a priority in today's times. Material and Methods This is a prospective study conducted over 18 months including all dermatophytes isolated during the period. Dermatophytes were identified by routine phenotypic methods. Antifungal susceptibility testing was performed for griseofulvin, terbinafine, and itraconazole as per the Clinical Laboratory Standard Institute M38 A2, and minimum inhibitory concentrations (MICs) were read after 5 days. Results Patient details and associated risk factors were recorded. Fixed dose combinations with steroids were associated with 79.3% (46 out of 58) of patients with dermatophytosis of skin. Among the 72 dermatophytes isolated during the study period, 58 (80.5%) were isolated from skin scrapings and 14 (19.4%) from nail samples. Tinea corporis with cruris was the most common presentation. The most common dermatophyte isolated from skin scrapings was Trichophyton mentagrophytes complex (70.6%, 41 out of 58), while from nail samples it was Trichophyton rubrum complex (78.57%, 11 out of 14). Based on the MIC 50 and MIC 90 results, itraconazole showed the lowest MICs, followed by terbinafine and then griseofulvin. Conclusion With the changing epidemiology of species distribution and antifungal resistance, there is a need for continuous surveillance of these parameters of dermatophytes.
Quadratic Processing of Web Service Data

Web service based information integration scenario can achieve the functional integration of heterogeneous platforms. However, the information sharing also requires the integration of Web services data. Based on the analysis of the characteristics of XML, this paper studies the web service data quadratic processing of heterogeneous platform. It realizes the data integration based on the functional integration of heterogeneous platforms. All the data of web services are defined and described by XML Schema. So this study uses XML data binding technology to achieve the conversion of XML Schema data to relational database content objects. Then XML mapping technology is adapted to achieve the mapping of the database content object on the local specific database table. Local system can achieve the quadratic web service data processing based on the database table’s normal operation. Some applications are described to validate.
A nonlinear dynamic model for 2D deepwater steel lazy-wave riser subjected to top–end imposed excitations

ABSTRACT Deepwater steel lazy-wave riser (SLWR) has won more and more applications in deepwater oil and gas resources development. The dynamic response induced by the wave, ocean current, ship motion, internal flow and other factors in operation phase has been highly concerned by researchers and engineers. A 2D nonlinear dynamic model for SLWR based on Euler–Bernoulli beam theory with initial conditions and boundary conditions under top excitations considering the effect of ocean current and internal flow is proposed. Keller Box finite difference scheme is adopted to solve the partial differential equations. Numerical analysis is conducted to investigate the influences of tangential and normal excitations on the riser's dynamic response. The proposed model can be a basic reference for the design and analysis for deepwater SLWR.
Impact of N-Terminal Tags on De Novo Vimentin Intermediate Filament Assembly

Vimentin, a type III intermediate filament protein, is found in most cells along with microfilaments and microtubules. It has been shown that the head domain folds back to associate with the rod domain and this association is essential for filament assembly. The N-terminally tagged vimentin has been widely used to label the cytoskeleton in live cell imaging. Although there is previous evidence that EGFP tagged vimentin fails to form filaments but is able to integrate into a pre-existing network, no study has systematically investigated or established a molecular basis for this observation. To determine whether a tag would affect de novo filament assembly, we used vimentin fused at the N-terminus with two different sized tags, AcGFP (239 residues, 27 kDa) and 3 × FLAG (22 residues; 2.4 kDa) to assemble into filaments in two vimentin-deficient epithelial cells, MCF-7 and A431. We showed that regardless of tag size, N-terminally tagged vimentin aggregated into globules with a significant proportion co-aligning with β-catenin at cell–cell junctions. However, the tagged vimentin aggregates could form filaments upon adding untagged vimentin at a ratio of 1:1 or when introduced into cells containing pre-existing filaments. The resultant filament network containing a mixture of tagged and untagged vimentin was less stable compared to that formed by only untagged vimentin. The data suggest that placing a tag at the N-terminus may create steric hinderance in case of a large tag (AcGFP) or electrostatic repulsion in case of highly charged tag (3 × FLAG) perhaps inducing a conformational change, which deleteriously affects the association between head and rod domains. Taken together our results shows that a free N-terminus is essential for filament assembly as N-terminally tagged vimentin is not only incapable of forming filaments, but it also destabilises when integrated into a pre-existing network.
Novel Missense Variation in NDUFA9 Gene in an Iranian Patient with Fatal Leigh Syndrome

: Mitochondrial diseases are caused by disturbances in the oxidative phosphorylation (OXPHOS) system. Leigh syndrome encompasses a spectrum of mitochondrial diseases characterized by necrotizing encephalopathy. Thus far, two cases carrying a variant in NDUFA9 with a diagnosis of Leigh syndrome have been reported. NDUFA9 is a subunit involved in the assembly and stability of the mitochondrial respiratory complex I. We present a lethal phenotype of Leigh syndrome in a four-month-old boy born to a consanguineous (first cousins) Iranian couple. The patient’s clinical course was notable for episodes of cyanosis, seizures, lactic acidosis, nystagmus, spastic paraplegia, apnea, and respiratory arrest. Due to high branched-chain amino acids, an initial diagnosis of maple syrup urine disease was considered; however, the patient did not respond to treatment. Via exome sequencing, we identified a novel homozygous missense variation in NDUFA9 (c.1069C>G, p.Arg357Gly), and a posthumous diagnosis of Leigh syndrome was made. This report highlights the potential differential diagnosis of Leigh syndrome and further describes the phenotypic spectrum of NDUFA9 defects.
The Learning of Compost Practice in University

The compost as one of the topics of the Urban Farming Movement in Bandung city, Indonesia. The preliminary study aims to obtain a description of the performance capabilities and compost products made by students with STREAM (Science-Technology-Religion-Art-Mathematics) approach. The method was explanatory sequential mixed method. The study was conducted on one class of Biology Education students at the one of the universities in Bandung, Indonesia. The sample was chosen purposively with the number of students as many as 44 people. The instruments were making Student Worksheets, Observation Sheets of Performance and Product Assessment, Rubric of Performance and Product, and Field Notes. The indicators of performance assessment rubrics include Stirring of Compost Materials and Composting Technology in accordance with the design. The product assessment rubric are a Good Composting Criteria and Compost Packaging. The result of can be stated most students have good performance. However, the ability to design of compost technology, compost products and the ability to pack compost are still lacking. The implication of study is students of Biology Education require habituation in the ability of designing technology.
Comparison of Crack Driving Force Estimation Schemes For Weld Defects In Reeled Pipelines

In this work, analytical estimation procedures for the evaluation of the crack driving force under strain control for surface cracked pipelines have been examined. Pipes with outer diameter in the range from 10.75” to 18” (approx. 0.25 m to 0.5 m) and corresponding minimum wall thickness have been considered. For an assumed level of critical toughness and a range of crack lengths from 25 mm to 200 mm, the maximum acceptable crack depths have been determined for each pipe size. The crack driving forces from different estimation schemes have been compared with the results of a finite-element analysis.