Miracle-dz/UniFAR-FTUs huggingface dataset:
Research on information security interaction based on behavior trust measurement mechanism

Along with the computer, communication, control, the rapid development of automation technology, based on the analysis of the information security requirements, combined with the trusted computing provide security solution, the communication control information security interaction model and the key technology to realize information security interaction, put forward a real-time evaluation model based on credible global terminal entities. By introducing penalty factor and time factor, the evaluation method is improved from single evaluation to global evaluation. Taking the user information collection system as an example, the information security communication model of behavior trust measurement mechanism is simulated. The simulation results show that this model has the ability of continuous trust measurement in dynamic uncertain network environment, and can accurately determine the trust of terminal entities in real time, and it is more realistic, which lays a good foundation for the research of trust connection, trust management and trust decision based on trust measurement.
Recent Advances and Potential Applications of Atmospheric Pressure Cold Plasma Technology for Sustainable Food Processing

In a circular economy, products, waste, and resources are kept in the system as long as possible. This review aims to highlight the importance of cold plasma technology as an alternative solution to some challenges in the food chain, such as the extensive energy demand and the hazardous chemicals used. Atmospheric cold plasma can provide a rich source of reactive gas species such as radicals, excited neutrals, ions, free electrons, and UV light that can be efficiently used for sterilization and decontamination, degrading toxins, and pesticides. Atmospheric cold plasma can also improve the utilization of materials in agriculture and food processing, as well as convert waste into resources. The use of atmospheric cold plasma technology is not without challenges. The wide range of reactive gas species leads to many questions about their safety, active life, and environmental impact. Additionally, the associated regulatory approval process requires significant data demonstrating its efficacy. Cold plasma generation requires a specific reliable system, process control monitoring, scalability, and worker safety protections.
SlimMe, a Chatbot With Artificial Empathy for Personal Weight Management: System Design and Finding

As the obesity rate continues to increase persistently, there is an urgent need to develop an effective weight loss management strategy. Nowadays, the development of artificial intelligence (AI) and cognitive technologies coupled with the rapid spread of messaging platforms and mobile technology with easier access to internet technology offers professional dietitians an opportunity to provide extensive monitoring support to their clients through a chatbot with artificial empathy. This study aimed to design a chatbot with artificial empathic motivational support for weight loss called “SlimMe” and investigate how people react to a diet bot. The SlimMe infrastructure was built using Dialogflow as the natural language processing (NLP) platform and LINE mobile messenger as the messaging platform. We proposed a text-based emotion analysis to simulate artificial empathy responses to recognize the user's emotion. A preliminary evaluation was performed to investigate the early-stage user experience after a 7-day simulation trial. The result revealed that having an artificially empathic diet bot for weight loss management is a fun and exciting experience. The use of emoticons, stickers, and GIF images makes the chatbot response more interactive. Moreover, the motivational support and persuasive messaging features enable the bot to express more empathic and engaging responses to the user. In total, there were 1,007 bot responses from 892 user input messages. Of these, 67.38% (601/1,007) of the chatbot-generated responses were accurate to a relevant user request, 21.19% (189/1,007) inaccurate responses to a relevant request, and 10.31% (92/1,007) accurate responses to an irrelevant request. Only 1.12% (10/1,007) of the chatbot does not answer. We present the design of an artificially empathic diet bot as a friendly assistant to help users estimate their calorie intake and calories burned in a more interactive and engaging way. To our knowledge, this is the first chatbot designed with artificial empathy features, and it looks very promising in promoting long-term weight management. More user interactions and further data training and validation enhancement will improve the bot's in-built knowledge base and emotional intelligence base.
Psychometric Study of the Cognitive Flexibility Inventory in a Colombian Sample

Abstract. Introduction: A cross-sectional descriptive study was conducted to evaluate the factor structure of Spanish translation and adaptation of the Cognitive Flexibility Inventory (CFI) in a sample of Colombian adults. Method: The sample of the study was n = 968. Respondents were aged between 18 and 52 years old (Mage=22.81, SD=4.42). Descriptive analyses, conﬁrmatory factor analysis, and Cronbach’s Alpha calculation were carried out. Results: Internal consistency for the global scale was high (α=.89). Likewise, the coeﬃcients of the Alternative factor and the Control factor were similar (α=.90, 95% CI=.89-.90 and α=.83, 95% CI=.81-.85, respectively). A two-factor structure performed best according to the results of model selection criteria. This model suggested the existence of two correlated factors, with correlated items within factors (Item19 Item20 and Item8 Item10). Conclusions: Overall, the results suggest that the CFI scale exhibits construct validity and adequate reliability, both for the general scale and the subscales in the Colombian sample, enabling their use in contexts such as clinical or research.
Development of a mouse model of cochlear implantation

INTRODUCTION: Despite the ongoing developments in cochlear implantation (CI) surgery and improvements in hearing preservation, the benefits gained have been overshadowed by the fact that a proportion of patients have lost part or all of their residual hearing in the implanted ear. The underlying cause of this loss remains unclear and prompts questions regarding the biological effects of CI on cochlear structure and function. Animal models are the only means of assessing the effects of CI at a cellular and molecular level. The range of naturally occurring and genetically-modified mice which mimic human deafness provide excellent opportunities for auditory research. To date, there are very few studies of CI in mice. The main aims were to develop a reproducible and viable technique of mouse CI and assess the response of the mouse cochlea to implantation. METHODS: CI via the round window was performed in C57BL/6J mice. Two age groups were chosen to examine the effects of implantation in the early and later stages of hearing loss, and to examine for any implantation-accelerated hearing loss. The contralateral cochlea acted as a control. Auditory brainstem response (ABR) audiometry prior to and at time-points following CI was undertaken. Following sacrifice, cochleae were harvested and prepared for histological examination. RESULTS: ABR analysis showed greater threshold shifts in the implanted ear compared to the control ear post-implantation, but substantial preservation of hearing, especially at the low frequencies. Cone beam computed tomography and light microscopy confirmed correct placement of the electrode array within the scala tympani. Histological analysis showed an inflammatory response and encapsulation of the implant in tissue with features suggesting the presence of fibrosis. CONCLUSION: The results demonstrate that mouse CI via the round window is feasible and provides a means for exploring the interface between the biological and technological aspects of CI.
Curcumin Plant for Colorectal Cancer Prediction and Prevention Using In Silico Molecular Analysis; HOT-MELT Extrusion

The impact of a soluble complex (SC) of curcumin (CuR) synthesized using hot melt (HM) and hot-melt extrusion (HE) technologies on adenocarcinoma cells for the treatment of colorectal cancer by enhancing CuR solubility is investigated in this work. In silico molecular modelling, solubility, drug release, and physicochemical analysis were all part of the phase solubility (PS) study, which featured a novel dyeing test and a central composite design to optimize the best complex (CDD). The optimal HE-SC (1 : 5) enhances solubility (0.8521 ± 0.016 mg·mL−1) and dissolution (91.87 ± 0.208% at 30 min), and it has an ideal stability constant (309 and 377 M−1) at 25 and 37°C and an AL type of isotherm, implying 1 : 1 stoichiometry according to the findings. An intermolecular hydrogen bond that has not undergone any chemical change and has resulted in the complete conversion of the amorphous form aids in the creation of SC. In vitro cytotoxicity was measured at IC50 on the SW480 (72 M·mL−1) and Caco-2 (40 M·mL−1) cells. According to apoptotic studies, apoptosis was responsible for the vast majority of cell death, with necrosis accounting for a small proportion of the total. In vivo toxicity was established using a zebrafish model, and a western blot examination revealed apoptosis at the molecular level. It was argued that the novel formulations developed using HE technology are more significant and effective than existing pure CuR formulations.
Fast Terminal Sliding Mode Current Control With Adaptive Extended State Disturbance Observer for PMSM System

This article proposes a current decoupling control strategy by combining a fast terminal sliding mode control (FTSMC) and an adaptive extended state observer (AESO). First, the voltage errors and external disturbances caused by <inline-formula> <tex-math notation="LaTeX">$d$ </tex-math></inline-formula>–<inline-formula> <tex-math notation="LaTeX">$q$ </tex-math></inline-formula>-axis current coupling and motor parameter variations are regarded as the lumped disturbance of the system, which facilitates the decoupling of <inline-formula> <tex-math notation="LaTeX">$d$ </tex-math></inline-formula>–<inline-formula> <tex-math notation="LaTeX">$q$ </tex-math></inline-formula>-axis currents. Next, an equivalent control-based FTSMC strategy is used to track the <inline-formula> <tex-math notation="LaTeX">$d$ </tex-math></inline-formula>–<inline-formula> <tex-math notation="LaTeX">$q$ </tex-math></inline-formula>-axis currents to obtain the proper <inline-formula> <tex-math notation="LaTeX">$d$ </tex-math></inline-formula>–<inline-formula> <tex-math notation="LaTeX">$q$ </tex-math></inline-formula>-axis voltages and improve the current dynamic performance. Then, the AESO method is utilized to observe the lumped disturbance and compensate for the input signal. Afterward, the FTSMC and AESO algorithms are combined to obtain the appropriate current and voltage signals in the <inline-formula> <tex-math notation="LaTeX">$d$ </tex-math></inline-formula>–<inline-formula> <tex-math notation="LaTeX">$q$ </tex-math></inline-formula>-axis. Finally, simulation and experimental results show that the proposed method not only achieves complete decoupling of the <inline-formula> <tex-math notation="LaTeX">$d$ </tex-math></inline-formula>–<inline-formula> <tex-math notation="LaTeX">$q$ </tex-math></inline-formula>-axis currents, but also has good performance in terms of dynamic response, steady-state accuracy, and robustness.
Test Cost-Test Quality Modeling For Adaptive Test

The ever increasing complexity of chips continuously challenges the goal of delivering a target test quality at a feasible cost. Adaptive testing has emerged as a method to explore test quality and test cost tradeoff. The modeling of the relation between test quality and test cost can enable the identification of optimal test cost and test quality points in this tradeoff space. In this work, we look at the test cost-test quality modeling problem and propose a validation framework for comparative evaluation of various models.
Spinal Reflex Excitability of Lower Leg Muscles Following Acute Lateral Ankle Sprain: Bilateral Inhibition of Soleus Spinal Reflex Excitability

Neural changes in the ankle stabilizing muscles following ankle sprains are thought to be one contributing factor to persistent ankle dysfunction. However, empirical evidence is limited. Therefore, we aimed to examine spinal reflex excitability of lower leg muscles following acute ankle sprains (AAS). We performed a case-control study with 2 groups consisting of 30 young adults with AAS and 30 aged-matched uninjured controls. Hoffmann reflex (H-reflex) testing was performed to estimate spinal reflex excitability of lower leg muscles: soleus, fibularis longus (FL), tibialis anterior (TA). Maximal H-reflex (Hmax) and motor responses (Mmax) were determined by delivering a series of electrical stimuli at the sciatic nerve. Hmax/Mmax ratios were calculated to represent normalized spinal reflex excitability. Separate group-by-limb analyses of variance (ANOVA) with repeated measures found there were no significant interactions for any of the muscles (SL: F1,56 = 0.95, p = 0.33, FL: F1,51 = 0.65, p = 0.42, TA: F1,51 = 1.87, p = 0.18), but there was a significant main effect of group in the soleus (F1,56 = 6.56, p = 0.013), indicating the Hmax/Mmax ratio of soleus in the AAS group was significantly lower bilaterally (AAS = 0.56 ± 0.19, control = 0.68 ± 0.17, p = 0.013), with no significant group differences in the other muscles (FL: F1,51 = 0.26, p = 0.61, TA: F1,51 = 0.93, p = 0.34). The bilateral inhibition of the soleus spinal reflex excitability following AAS may be significant in that it may explain bilateral sensorimotor deficits (postural control deficits) following unilateral injury, and provide insights into additional therapies aimed at the neural change.
Haptic Feedback and Force-Based Teleoperation in Surgical Robotics

This article presents an overview of the current state of research and application of haptic (primarily kinesthetic) feedback and force-based teleoperation in the context of surgical robotics. Telerobotic surgery provides an approach for transferring the sensorimotor skills of a surgeon through a robotic platform to perform surgical intervention inside a patient’s body. Integration of advanced sensing and haptic technologies in telerobotic surgery can help to enhance the sensory awareness and motor accuracy of the surgeon, thereby leading to improved surgical procedures and outcomes for patients. The primary mode of sensory feedback has been through 3-D visual observation using stereo endoscopes. However, until recently, the sense of touch, i.e., haptics, has been missing in the commercial telesurgery robots approved for use in the operating room despite over two decades of research and development in the field of haptics for teleoperated systems (“telehaptics”). Research has shown that high-fidelity force feedback can enhance the performance of telesurgery and potential outcomes by enabling the surgeon to have a more natural feel of interaction between surgical tools and tissue as normally experienced during open surgery. Interaction forces, such as those generated during palpation of tissue, insertion of a needle, unintentional (and potentially unsafe) exertion of force by a tool, suture breakage, needle slippage, or tool interaction, are replaced by indirect (virtual) sensations, termed visual haptics, which provides an alternative to sensory compensation. Although there is a significant amount of literature supporting this benefit, there are still several important technical challenges in introducing haptics in telesurgery, including instrumentation, fidelity (transparency), stability, and modalities for force reflection, e.g., direct or indirect. This article examines these challenges and discusses recent work on haptics-based teleoperated surgical robotic systems.
The HIF-1α–C/EBPα Axis

Interactions between HIF-1α and C/EBPα may mediate reciprocal functional effects. The hypoxia inducible factors (HIFs) and CCAAT/enhancer binding protein alpha (C/EBPα) are transcription factors that mediate adaptive responses to hypoxia and control aspects of energy metabolism, respectively. New evidence suggests that when HIF-1α and C/EBPα interact, they bring about reciprocal functional changes, so that the activity of HIF-1α is decreased and that of C/EBPα is restricted or increased in a tissue-specific manner. This Journal Club article highlights research depicting interactions between HIF-1α and C/EBPα and discusses conditions and tissues in which this interaction might occur.
Understanding Agile Software Development Assimilation Beyond Acceptance

Agile software development methods represent a departure from the heavily regimented and document-driven procedures of traditional, waterfall approaches. Despite the highly touted benefits of employing agile ISD methods and the growth of agile adoption rates over the past two decades, it is not clear why some organizations fail to routinize agile methods, while others do so and realize their promised benefits. Motivated by the need to understand the factors that influence agile routinization, this study empirically examines the deep contextual factors that impact the extent to which agile methods are proliferated throughout an organization. Findings indicate that project success from initial agile use does not translate to routine agile use. Instead, findings from the study suggest that organizational factors of organizational culture and structure play a pivotal role in the routinization of agile methods.
Case Report: Anti-GABAA Receptor Encephalitis in a Dog

Autoantibodies against neurotransmitter receptors detected in cerebrospinal fluid (CSF) and serum are increasingly recognized in people with human autoimmune encephalitis causing severe neurological deficits, such as seizures and behavioral abnormalities. This case report describes the first encephalitis associated with antibodies against the γ-aminobutyric acid-A receptor (GABAAR) in a dog. A young male intact Cavalier King Charles Spaniel was presented with recent onset of initial multiple generalized tonic-clonic seizures progressing into a status epilepticus. Interictally, he showed alternating stupor and hyperexcitability, ataxia, pleurothotonus and circling behavior to the left side. Magnetic resonance imaging (MRI) of the brain showed breed-specific anatomical abnormalities. Standard CSF analysis was unremarkable. Despite treatment with multiple antiseizure medications (ASMs) seizures and behavior abnormalities sustained. Immunotherapy with dexamethasone was started on the fifth day after disease manifestation. This led to rapid improvement of clinical signs. An extensive antibody search in CSF and serum demonstrated a neuropil staining pattern on a tissue-based assay compatible with GABAAR antibodies. The diagnosis was confirmed by binding of serum and CSF antibodies to GABAAR transfected Human Embryonic Kidney cells. The serum titer was 1:320, the CSF titer 1:2. At the control visit 4.5 weeks after start of immunotherapy, the dog was clinically normal. The GABAAR antibody titer in serum had strongly decreased. The antibodies were no longer detectable in CSF. Based on clinical presentation and testing for GABAAR binding antibodies, this describes the first veterinary patient with an anti-GABAAR encephalitis with a good outcome following ASM and corticosteroid treatment.
The Role of Interspecific Hybridisation in Adaptation and Speciation: Insights From Studies in Senecio

Hybridisation is well documented in many species, especially plants. Although hybrid populations might be short-lived and do not evolve into new lineages, hybridisaiton could lead to evolutionary novelty, promoting adaptation and speciation. The genus Senecio (Asteraceae) has been actively used to unravel the role of hybridisation in adaptation and speciation. In this article, we first briefly describe the process of hybridisation and the state of hybridisation research over the years. We then discuss various roles of hybridisation in plant adaptation and speciation illustrated with examples from different Senecio species, but also mention other groups of organisms whenever necessary. In particular, we focus on the genomic and transcriptomic consequences of hybridisation, as well as the ecological and physiological aspects from the hybrids’ point of view. Overall, this article aims to showcase the roles of hybridisation in speciation and adaptation, and the research potential of Senecio, which is part of the ecologically and economically important family, Asteraceae.
A review on the history, use, and new developments of abobotulinumtoxinA (Dysport)

AbobotulinumtoxinA is a botulinum neurotoxin type A that blocks the release of acetylcholine from peripheral cholinergic nerve terminals and thereby induces flaccid paralysis. It is the second produced botulinum neurotoxin type A of its class and is currently approved for the use in spasticity, dystonia in adults, and correction of glabellar wrinkle lines in adults up to 65 years of age. Though these are the only US Food and Drug Administration (FDA) indications for its use, there are many off‐label uses for abobotulinumtoxinA such as various facial lines, hyperhidrosis, temporomandibular disease, and other neuromuscular conditions. This summary article reviews the history, development, unique properties, clinical indications, and safety profile of abobotulinumtoxinA.
Determining Factors in Application of Green Accounting at Public Hospitals

Abstract The application of green accounting in public hospitals (RSUs) in Malang Raya must be based on financial, social and environmental activities, as a form of economic, social and environmental responsibility. This of course requires management's understanding of green accounting, and hospital management work experience, as well as considering the organizational size of the hospitals. The purpose of this study was to analyze and determine the effect of management's understanding of green accounting, organizational size and work experience either partially or simultaneously on the application of green accounting in public hospitals in Malang Raya, as well as the percentage level of the influence of research variables on the application of green accounting at public hospitals in Malang. This survey research uses a multivariate correlation approach, namely causal correlation using linear regression test. The variables used are management's understanding of green accounting, organizational size, and work experience as the independent variable and the application of green accounting as the dependent variable. The sampling method used is probability sampling with stratified sampling, so that 36 research samples were collected from a population of 40 RSUs. The novelty of this research is the addition of work experience variables, in addition to the variables of management's understanding of green accounting and the size of the general hospital organization. The results showed that simultaneously, the variables of management's understanding of green accounting, organizational size and work experience had an effect on the application of green accounting in public hospitals in Malang Raya. In fact, the effect of the variable management understanding of green accounting, organizational size and work experience on the application of green accounting variable is 38.5% and the remaining 61.5% is influenced by other variables besides the variables in this study. However, partially the variables of management's understanding of green accounting and organizational size that affect the application of green accounting in public hospitals in Malang Raya, while the work experience variable does not affect the application of green accounting in public hospitals in Malang Raya.