Miracle-dz/UniFAR-FTUs huggingface dataset:
Design and development of a SLPM-based deployable robot

Abstract With the progress of industry, people are facing more and more complicated tasks, which cannot be completed by conventional rigid robot. For this, a deployable robot based on spherical linkage parallel mechanism was proposed to satisfy relevant requirements for the degrees of freedom in this study. Based on the design of robot model and its control box, a mathematical model for the robot was established, and the relationship between motion space and drive space was deduced accordingly. Subsequently, a control system consisting of the upper and lower computers was introduced. Two control modes, that is, Joystick control and remote control, were developed. The upper computer control interface for the robot was completed by MATLAB construction. At last, the two control modes as well as autonomous detection were demonstrated by motion test. This achievement will further advance the applications of deployable robot in job aid and intelligent exploration.
Risk Factors and Role of Antibiotic Prophylaxis for Wound Infections after Percutaneous Endoscopic Gastrostomy

Background and study aim: The incidence of wound infections after percutaneous endoscopic gastrostomy (PEG) varies widely in recent studies. The present study systematically investigates the underlying risk factors for the development of wound infections in a large cohort of patients over a long-term follow-up period. Patients and Methods: A retrospective cohort study of patients undergoing PEG insertion using either the pull or push technique was conducted and patients followed up for 3 years. Tube-related wound infections were identified, and pathogens regularly cultured from wound swabs. Adjusted analysis was performed via univariate and multivariate logistic regression analysis. Results: 616 patients were included in this study. A total of 25% percent of patients developed wound infections upon PEG tube insertion and 6.5% showed recurrent infections. Nicotine abuse (p = 0.01), previous ischemic stroke (p = 0.01) and head and neck cancer (p < 0.001) showed an increased risk for wound infection after PEG placement. Moreover, radio-chemotherapy was associated with the occurrence of wound infections (p < 0.001). Infection rates were similar between pull and push cohorts. The most common bacterial pathogen detected was Enterobacterales (19.2%). Staphylococcus aureus, Pseudomonas aeruginosa and enterococci were frequently detected in recurrent infection (14.2%, 11.4% and 9.6%, respectively). Antibiotic prophylaxis showed no effect on infection rates. Conclusions: Wound infections after PEG placement are common and occasionally occur as recurrent infections. There is potential for improvement in everyday clinical practice, particularly regarding antibiotic prophylaxis in accordance with guidelines.
The Environmental Audit Screening Evaluation: Establishing Reliability and Validity of an Evidence-Based Design Tool

Abstract Background and Objectives Current assessment tools for long-term care environments have limited generalizability or ability to be linked to specific quality outcomes. To discriminate between different care models, tools are needed to assess important elements of the environmental design. The goal of this project was to systematically evaluate the reliability and validity of the Environmental Audit Screening Evaluation (EASE) tool to better enable the identification of best models in long-term care design to maintain quality of life for persons with dementia and their caregivers. Research Design and Methods Twenty-eight living areas (LAs) were selected from 13 sites similar in organizational/operational commitment to person-centered care but with very different LA designs. LAs were stratified into 3 categories (traditional, hybrid, and household) based primarily on architectural/interior features. Three evaluators rated each LA using the Therapeutic Environment Screening Scale (TESS-NH), Professional Environmental Assessment Protocol (PEAP), Environmental Audit Tool (EAT-HC), and EASE. One of each type of LA was reassessed approximately 1 month after the original assessment. Results EASE scores were compared against the scores of 3 existing tools to evaluate its construct validity. The EAT-HC was most closely related to the EASE (r = 0.88). The PEAP and the TESS-NH were less correlated to the EASE (r = 0.82 and 0.71, respectively). Analysis of variance indicated that the EASE distinguished between traditional and home-like settings (0.016), but not hybrid LAs. Interrater and inter-occasion reliability and agreement of the EASE were consistently high. Discussion and Implications Neither of the 2 U.S.-based existing environmental assessment tools (PEAP and TESS-NH) discriminated between the 3 models of environments. The EAT-HC was most closely aligned with the EASE and performed similarly in differentiating between the traditional and household models, but the dichotomous scoring of the EAT-HC fails to capture environmental nuances. The EASE tool is comprehensive and accounts for nuanced design differences across settings.
An efficient algorithm for optimal PLA folding

A three-step heuristic algorithm for PLA column folding and row folding of column-folded PLA is presented. The algorithm is significantly faster than earlier algorithms and provides nearly optimal results. The three steps are min-cut partition of vertices in the column (or row) intersection graph, determination of product order using Fiduccia's min-net cut algorithm, and head-tail pairing for column folding (some heuristics are proposed for deciding row folding pairs). The time complexity of this algorithm is O(n/sup 2/ log n), compared to the O(n/sup 3/) to O(n/sup 4/) of the earlier algorithms. For a test PLA with 23 inputs, 19 outputs, and 52 products, the number of column folding pairs obtained using this algorithm is 20, which is optimal compared to the 17 obtained previously. >
An Efficient Fractional Chebyshev Chaotic Map-Based Three-Factor Session Initiation Protocol for the Human-Centered IoT Architecture

One of the most frequently used signaling techniques for initiating, sustaining, and dismissing sessions on the internet is a session initiation protocol (SIP). Currently, SIPs are gaining widespread applications in the human-centered Internet of Things (HC-IoT) domain. In HC-IoT environments, sensitive user data are transmitted over open communication channels that require secure authentication to protect sensitive user information from unlawful exploitation. In order to provide robust authentication for critical user data, SIP-based authentication mechanisms have been proposed; however, these authentication schemes have not provided perfect authentication and effective security for users. Additionally, the existing schemes are computationally intensive and cost-prohibitive in design and implementation. In order to address this problem, especially in the human-centered IoT context, this work introduces a provably secure, lightweight, three-factor SIP-based scheme to tackle the shortcomings of traditional schemes. The presented scheme is based on an extended fractional Chebyshev chaotic map. A formal security verification of the session key in the real-or-random (ROR) model is conducted to evaluate the projected scheme. The investigation results indicate that the new scheme is SIP compatible and achieves secure mutual authentication with robust security features compared to the existing schemes. Therefore, the proposed SIP-enabled scheme can be deployed in the human-centered Internet of Things to secure critical user information.
Ranking Efficient Units in DEA

There exist many different ranking methods for ranking efficient Decision Making Units (DMUs) in Data Envelopment Analysis (DEA). However, since each of these methods considers a certain theory for ranking, they may give different ranks. In practice, choosing a ranking method, the results of which the Decision Maker (DM) would be able to trust is an important issue. In this paper, we consider some CCR efficient DMUs, and then rank them by using some ranking methods, each of which is important and significant. Afterwards, by using TOPSIS method, we suggest the ranks of efficient DMUs.
Patients with Non-Alcoholic Fatty Liver Disease and Alcohol Dehydrogenase 1B/Aldehyde Dehydrogenase 2 Mutant Gene Have Higher Values of Serum Alanine Transaminase

Patients with non-alcoholic fatty liver disease (NAFLD) share similar pathophysiologies to those of patients with alcohol liver disease. Alcoholic metabolic enzyme-related genes (alcohol dehydrogenase 1B (ADH1B) and aldehyde dehydrogenase 2 (ALDH2)) may be associated with pathophysiology in NAFLD patients. In this study, the association between ADH1B/ALDH2 gene polymorphism and serum metabolic factors, body statures, and hepatic steatosis/fibrosis status was evaluated in patients with NAFLD. Using biochemistry data, abdominal ultrasonography, fibrosis evaluation (Kpa), and steatosis evaluation (CAP), ADH1B gene SNP rs1229984 and ALDH2 gene SNP rs671 polymorphism were analyzed in sixty-six patients from 1 January 2022 to 31 December 2022. The percentage of the mutant type (GA + AA) was 87.9% (58/66) in the ADH1B allele and 45.5% (30/66) in the ALDH2 allele. Patients with the mutant-type ADH1B/ALDH2 allele had higher values of alanine aminotransferase (ALT) than the wild type (β = 0.273, p = 0.04). No association was observed between body mass index, serum metabolic factors (sugar and lipid profile), CAP, kPa, and ADH1B/ALDH2. A high proportion of the mutant-type ADH1B allele (87.9%) and ALDH2 allele (45.5%) was observed in patients with NAFLD. No association was observed between ADH1B/ALDH2 allele, BMI, and hepatic steatosis/fibrosis. Patients with the mutant-type ADH1B/ALDH2 allele had higher values of ALT than those with the wild type.
Higher Routability and Reduced Crosstalk Noise by Asynchronous Multiplexing of On-Chip Interconnects

The signal integrity problem, especially crosstalk noise, is an important issue in physical design in the nanometer regime. Wire multiplexing is a recently proposed method to reduce these problems in current design methodologies. This technique is presented to increase the routability of the design and also reduce crosstalk noise by serializing parallel wires via delay insensitive asynchronous serial transceivers. In this paper, this technique is improved in terms of routability and computation time and, also, its impact on crosstalk is examined. Finally, it is evaluated with 180 nm and 130 nm technologies. Experimental results show that for the attempted benchmarks, congestion and routability are improved by 15.54% and 21.57% on average, respectively, and crosstalk noise is improved by 9.51% on average. These improvements are achieved at the cost of a slight increase in power consumption (0.12% on average) and runtime (less than 10.01% on average).
Activation of NRF2 Signaling Pathway Delays the Progression of Hyperuricemic Nephropathy by Reducing Oxidative Stress

Hyperuricemia (HUA)-induced oxidative stress is a crucial contributor to hyperuricemic nephropathy (HN), but the molecular mechanisms underlying the disturbed redox homeostasis in kidneys remain elusive. Using RNA sequencing, together with biochemical analyses, we found that nuclear factor erythroid 2-related factor 2 (NRF2) expression and nuclear localization levels were increased in early HN progression and then gradually declined below the baseline level. We identified the impaired activity of the NRF2-activated antioxidant pathway as a driver of oxidative damage in HN progression. Through nrf2 deletion, we further confirmed aggravated kidney damage in nrf2 knockout HN mice compared with HN mice. In contrast, the pharmacological agonist of NRF2 improved kidney function and alleviated renal fibrosis in mice. Mechanistically, the activation of NRF2 signaling reduced oxidative stress by restoring mitochondrial homeostasis and reducing NADPH oxidase 4 (NOX4) expression in vivo or in vitro. Moreover, the activation of NRF2 promoted the expression levels of heme oxygenase 1 (HO-1) and quinone oxidoreductase 1 (NQO1) and enhanced the antioxidant capacity of cells. Furthermore, the activation of NRF2 ameliorated renal fibrosis in HN mice through the downregulation of the transforming growth factor-beta 1 (TGF-β1) signaling pathway and ultimately delayed the progression of HN. Collectively, these results suggested NRF2 as a key regulator in improving mitochondrial homeostasis and fibrosis in renal tubular cells by reducing oxidative stress, upregulating the antioxidant signaling pathway, and downregulating the TGF-β1 signaling pathway. The activation of NRF2 represents a promising strategy to restore redox homeostasis and combat HN.
Interpretation of States Structures in the Control of Development of Ecosystems

This paper continues in the topic of qualitative modeling that were applied for Small Water Cycle violation in ecosystem of Trebon region, South Bohemia. The situation when is impossible to form a semantic content of a sign formation in higher level of sign model is a typical case of “bottom-up emergence”. The paper proposes new method how to avoid this principal obstacle. The method is illustrated in the simple state model of a climate change in an ecosystem.
Temporal Data Correlation Providing Enhanced Dynamic Crypto-Ransomware Pre-Encryption Boundary Delineation

Ransomware is a type of malware that employs encryption to target user files, rendering them inaccessible without a decryption key. To combat ransomware, researchers have developed early detection models that seek to identify threats before encryption takes place, often by monitoring the initial calls to cryptographic APIs. However, because encryption is a standard computational activity involved in processes, such as packing, unpacking, and polymorphism, the presence of cryptographic APIs does not necessarily indicate an imminent ransomware attack. Hence, relying solely on cryptographic APIs is insufficient for accurately determining a ransomware pre-encryption boundary. To this end, this paper is devoted to addressing this issue by proposing a Temporal Data Correlation method that associates cryptographic APIs with the I/O Request Packets (IRPs) based on the timestamp for pre-encryption boundary delineation. The process extracts the various features from the pre-encryption dataset for use in early detection model training. Several machine and deep learning classifiers are used to evaluate the accuracy of the proposed solution. Preliminary results show that this newly proposed approach can achieve higher detection accuracy compared to those reported elsewhere.
Altered Resting-State Brain Activity and Functional Connectivity in Post-Stroke Apathy: An fMRI Study

Apathy is a common neuropsychiatric disease after stroke and is linked to a lower quality of life while undergoing rehabilitation. However, it is still unknown what are the underlying neural mechanisms of apathy. This research aimed to explore differences in the cerebral activity and functional connectivity (FC) of subjects with post-stroke apathy and those without it. A total of 59 individuals with acute ischemic stroke and 29 healthy subjects with similar age, sex, and education were recruited. The Apathy Evaluation Scale (AES) was used to evaluate apathy at 3 months after stroke. Patients were split into two groups—PSA (n = 21) and nPSA (n = 38)—based on their diagnosis. The fractional amplitude of low-frequency fluctuation (fALFF) was used to measure cerebral activity, as well as region-of-interest to region-of-interest analysis to examine functional connectivity among apathy-related regions. Pearson correlation analysis between fALFF values and apathy severity was performed in this research. The values of fALFF in the left middle temporal regions, right anterior and middle cingulate regions, middle frontal region, and cuneus region differed significantly among groups. Pearson correlation analysis showed that the fALFF values in the left middle temporal region (p < 0.001, r = 0.66) and right cuneus (p < 0.001, r = 0.48) were positively correlated with AES scores in stroke patients, while fALFF values in the right anterior cingulate (p < 0.001, r = −0.61), right middle frontal gyrus (p < 0.001, r = −0.49), and middle cingulate gyrus (p = 0.04, r = −0.27) were negatively correlated with AES scores in stroke patients. These regions formed an apathy-related subnetwork, and functional connectivity analysis unveiled that altered connectivity was linked to PSA (p < 0.05). This research found that abnormalities in brain activity and FC in the left middle temporal region, right middle frontal region, right cuneate region, and right anterior and middle cingulate regions in stroke patients were associated with PSA, revealing a possible neural mechanism and providing new clues for the diagnosis and treatment of PSA.
University Pharmacy: from the foundation to the Pandemic times of Covid-19

Abstract The University Pharmacy Program (FU), from the Federal University of Rio de Janeiro (UFRJ), was created based on the need to offer a curricular internship to students of the Undergraduate Course at the Faculty of Pharmacy. Currently, it is responsible for the care of about 200 patients/day, offering vacancies for curricular internships for students in the Pharmacy course, it has become a reference in the manipulation of many drugs neglected by the pharmaceutical industry and provides access to medicines for low-income users playing an important social function. Research is one of the pillars of FU-UFRJ and several master and doctoral students use the FU research laboratory in the development of dissertations and theses. As of 2002, the Pharmaceutical Care extension projects started to guarantee a rational and safe pharmacotherapy for the medicine users. From its beginning in 1982 until the current quarantine due to the COVID-19 pandemic, FU-UFRJ has been adapting to the new reality and continued to provide patient care services, maintaining its teaching, research, and extension activities. The FU plays a relevant social role in guaranteeing the low-income population access to special and neglected medicines, and to pharmaceutical and education services in health promotion.
INFLUENCING FACTORS TO OPTIMIZE THE PROCESSES OF PROVIDING SERVICES TO CUSTOMERS WITH CUSTOMER- ORIENTED APPROACH

The aim of the present study reviews the factors affecting optimization processes to provide services to clients with customer-oriented approach. The research method was a descriptive survey. The 50,000 people of the community experts and experts in the fields of Economics, management, marketing, customers, and visitors to the banks. From among them by using the formula N = 384 number of Cochrane was calculated. The research instrument was built in the four scholar questionnaire influencing factors on process optimization services to customers by electronic technology, marketing and advertising, employee capabilities and quality of service. Reliability of tools through the cronbach's alpha was 0.85 calculated. The results showed that the maximum coefficient of components on the optimization of the process of providing services to customers based on the capabilities of the staff related to the component is "talking politely and pleasantly behavior'' with the coefficient of 0.725. In the technology sector the most factors related to electronic components ''use of cell phones with Service'' with 0.796. As well as in the quality of goods and services the most factors in cultural component '' Reasonable Price '' with 0.769 an appropriate coefficient. In the advertising and marketing the highest factor in social component corresponds to factor ''honesty in advertising'' with 0.671.
Examining sociocultural factors in widowhood and cognitive function among older Chinese immigrants: findings from the PINE study

Abstract Objectives: Although there is growing evidence on widowhood and cognitive function, existing studies have shown mixed results. Little is known about protective factors that may contribute to resilience, thereby ameliorate the adverse effect of widowhood on cognition among older Asian immigrants. This study explored potential moderators (i.e. social support, acculturation, leisure activities) in the association between widowhood and cognitive function among older Chinese immigrants. Method: The study sample included 2,515 adults aged 60 or older who completed two waves (2011–2013 and 2013–2015) of the Population Study of Chinese Elderly in Chicago. Cognitive function was indexed by global cognitive function and episodic memory. Linear regression analyses were conducted with interaction terms. Results: Our results show that social support moderated the relationship between widowhood and global cognitive function, and acculturation moderated the relationship between widowhood and episodic memory. The adverse effect of widowhood on cognitive function was more pronounced at lower levels of social support and acculturation. Conclusion: Our findings indicate buffering roles of social support and acculturation in cognitive health among older Chinese immigrants who experience widowhood. Providing supportive programs and interventions to increase social support and acculturation is suggested to promote cognitive function in this population.
A narrow‐band overmoded rectangular waveguide filter for high‐power microwaves (HPMs)

An overmoded rectangular waveguide filter with the advantages of narrowband and high power is presented in this paper. The transmission efficiency of each mode in the filter is analyzed based on mode‐matching techniques and optimized by combining it with the calculation method. Due to the overmoded waveguide and direct coupling topology, the designed structure has characteristics of narrowband and high power. The overall size of the proposed filter is only 17.45 × 36.20 × 126.67 mm3 (0.54λ0 × 1.12λ0 × 3.93λ0, λ0 is the wavelength of the center frequency in free space). The test results match well with the simulated ones and they both show that the transmission efficiency of TE10 mode is higher than 99.77%. Meanwhile, the proposed filter achieves 1% fractional bandwidth and 134.5 kW power capacity, which reveals that the filter has both narrow‐band and high‐power characteristics. The designed filter would be an attractive candidate for HPM systems.
Role of proton dynamics in efficient photoionization of hydrocarbon molecules

We experimentally investigate the ionization mechanism behind the formation of remarkably high charge states observed in the laser-pulse-induced fragmentation of different hydrocarbon molecules by Roither et al. [Phys. Rev. Lett. 106, 163001 (2011)], who suggested enhanced ionization occurring at multiple C-H bonds as the underlying ionization mechanism. Using multiparticle coincidence momentum imaging we measure the yield of multiply charged fragmenting ethylene and acetylene molecules at several intensities and pulse durations ranging from the few-cycle regime to 25 fs. We observe, at constant intensity, a strong increase of the proton energy with increasing laser pulse duration. It is shown that this is caused by a strong increase in the yield of highly charged parent molecular ions with pulse duration. Based on experimental evidence we explain this increase by the necessary population of precursor states in the parent ion that feature fast C-H stretch dynamics to the critical internuclear distance, where efficient ionization via enhanced ionization takes place. For increasing pulse duration these precursor ionic states are more efficiently populated, which leads in turn to a higher enhanced-ionization probability for longer pulses. Our work provides experimental evidence for the existence of a multiple-bond version of enhanced ionization in polyatomic molecules.