Miracle-dz/UniFAR-FTUs huggingface dataset:
Ischemic Preconditioning Improves Handgrip Strength and Functional Capacity in Active Elderly Women

Background: Aging decreases some capacities in older adults, sarcopenia being one of the common processes that occur and that interfered with strength capacity. The present study aimed to verify the acute effect of IPC on isometric handgrip strength and functional capacity in active elderly women. Methods: In a single-blind, placebo-controlled design, 16 active elderly women (68.1 ± 7.6 years) were randomly performed on three separate occasions a series of tests: (1) alone (control, CON); (2) after IPC (3 cycles of 5-min compression/5-min reperfusion at 15 mmHg above systolic blood pressure, IPC); and (3) after placebo compressions (SHAM). Testing included a handgrip isometric strength test (HIST) and three functional tests (FT): 30 s sit and stand up from a chair (30STS), get up and go time (TUG), and 6 min walk distance test (6MWT). Results: HIST significantly increased in IPC (29.3 ± 6.9 kgf) compared to CON (27.3 ± 7.1 kgf; 7.1% difference; p = 0.01), but not in SHAM (27.7 ± 7.9; 5.5%; p = 0.16). The 30STS increased in IPC (20.1 ± 4.1 repetitions) compared to SHAM (18.5 ± 3.5 repetitions; 8.7%; p = 0.01) and CON (18.5 ± 3.9 repetitions; 8.6%; p = 0.01). TUG was significantly lower in IPC (5.70 ± 1.35 s) compared to SHAM (6.14 ± 1.37 s; −7.2%; p = 0.01), but not CON (5.91 ± 1.45 s; −3.7%; p = 0.24). The 6MWT significantly increased in IPC (611.5 ± 93.8 m) compared to CON (546.1 ± 80.5 m; 12%; p = 0.02), but not in SHAM (598.7 ± 67.6 m; 2.1%; p = 0.85). Conclusions: These data suggest that IPC can promote acute improvements in handgrip strength and functional capacity in active elderly women.
Health Needs and Their Relationship with Life Expectancy in People with and without Intellectual Disabilities in England

Health needs are common in people living with intellectual disabilities, but we do not know how they contribute to life expectancy. We used the Clinical Practice Research Datalink (CPRD) linked with hospital/mortality data in England (2017–2019) to explore life expectancy among people with or without intellectual disabilities, indicated by the presence or absence, respectively, of: epilepsy; incontinence; severe visual loss; severe visual impairment; severe mobility difficulties; cerebral palsy and PEG feeding. Life expectancy and 95% confidence intervals were compared using flexible parametric methods. At baseline, 46.4% (total n = 7794) of individuals with intellectual disabilities compared with 9.7% (total n = 176,807) in the comparison group had ≥1 health need. Epilepsy was the most common health need (18.7% vs. 1.1%). All health needs except hearing impairment were associated with shorter life expectancy: PEG feeding and mobility difficulties were associated with the greatest loss in life years (65–68% and 41–44%, respectively). Differential life expectancy attenuated but remained (≈12% life years lost) even after restricting the population to those without health needs (additional years expected to live at 10 years: 65.5 [60.3, 71.1] vs. 74.3 [73.8, 74.7]). We conclude that health needs play a significant role but do not explain all of the differential life expectancy experienced by people with intellectual disabilities.
Medical Image Classification Utilizing Ensemble Learning and Levy Flight-Based Honey Badger Algorithm on 6G-Enabled Internet of Things

Recently, the 6G-enabled Internet of Medical Things (IoMT) has played a key role in the development of functional health systems due to the massive data generated daily from the hospitals. Therefore, the automatic detection and prediction of future risks such as pneumonia and retinal diseases are still under research and study. However, traditional approaches did not yield good results for accurate diagnosis. In this paper, a robust 6G-enabled IoMT framework is proposed for medical image classification with an ensemble learning (EL)-based model. EL is achieved using MobileNet and DenseNet architecture as a feature extraction backbone. In addition, the developed framework uses a modified honey badger algorithm (HBA) based on Levy flight (LFHBA) as a feature selection method that aims to remove the irrelevant features from those extracted features using the EL model. For evaluation of the performance of the proposed framework, the chest X-ray (CXR) dataset and the optical coherence tomography (OCT) dataset were employed. The accuracy of our technique was 87.10% on the CXR dataset and 94.32% on OCT dataset—both very good results. Compared to other current methods, the proposed method is more accurate and efficient than other well-known and popular algorithms.
Understanding the Dynamics of Knowledge Building Process in Online Knowledge-Sharing Platform: A Structural Analysis of Zhihu Tag Network

Through structural analysis of 8-year tag networks from online knowledge-sharing platforms, this study finds that, with the scale of tag networks growing quickly, the growth trend of number edges indicates that tag network follows densification law. The clustering coefficient and the average shortest path of the network show that the rapid growth of network size does not bring about the compartmentalization of the knowledge network, and the degree distribution of tag networks shows a truncated power-law distribution. According to the structural characteristics of the tag network, this study proposes a tag network model based on the BA model. Based on the preference attachment, the triadic closure mechanism is employed to construct the edges between the old nodes, which revises the limitation that the BA model only connects edges between old and new nodes. The results show that the simulation model matches the actual tag network structure well. The generation mechanism of the tag network model provides a reference for understanding the knowledge construction process of the online knowledge-sharing platform to a certain extent.
A Survey and Comparison of Various Routing Protocols of Wireless Sensor Network (WSN) and a Proposed New TTDD Protocol Based on LEACH

In wireless sensor network, the lifetime of a sensor node depends on its battery. By energy efficient routing protocol, it can increase the lifetime of the network by minimizing the energy consumption of each sensor node. Some energy efficient protocols have been developed for this purpose. Among those, we have made a survey on TTDD, LEACH, PEGASIS, SPIN and TEEN on the basis of some basis of some important evaluation matrix. Beside this, in this paper we have proposed new Two Tier Data Dissemination (TTDD) based on LEACH.
Emotion regulation and executive functions in adolescents with skin picking disorder

Abstract Aim This study aimed to investigate emotion regulation difficulties and executive functions of adolescent outpatients with skin picking disorder (SPD). Method Ninety six adolescents with SPD and ninety healthy controls were included in the study. All patients were diagnosed with SPD as per the diagnostic criteria of DSM-5. A battery of tests were implemented to evaluate emotional regulation strategies (i.e. acceptance,), as well as associations between those strategies and executive functions, and clinical variables (anxiety, depressive symptoms, impulsivity and illness characteristics). Results The SPD group had significantly higher scores in inhibition (t = 2.982, p = 0.030), emotional control (t = 2.461, p = 0.016), and planning-organization (t = 2.139, p = 0.038) Multiple linear regression model explained a considerable amount of variance of executive functions in the patient group (Adjusted R 2=66.4%). In the patient group, age at illness-onset and the severity of inhibiton were significantly associated with the disruptions in emotional control functions (For age at illness-onset, β= −0.45, t=-3.0, p = 0.012 and for BRIEF Inhibition scores, β = 0.31, t = 2.8, p = 0.008). Conclusion The results of this study suggest that those with SPD have more emotion regulation problems and poorer executive function skills compared to those without SPD. Deficits in emotional control were associated with inhibition process and age-onset of the illness.
Foaming of PCL-Based Composites Using scCO2—Biocompatibility and Evaluation for Biomedical Applications

The process of foaming poly(caprolactone)-based composite materials using supercritical carbon dioxide was analyzed, especially in terms of the biocompatibility of the resultant materials. The influence of foaming process conditions and composite material properties on the functional properties of polymer solid foams, intended for artificial scaffolds for bone cell culture, was investigated. The relationship between wettability (contact angle) and water absorption rate as a result of the application of variable conditions for the production of porous structures was presented. For the evaluation of potential cytotoxicity, the MTT and PrestoBlue tests were carried out, and animal cells (mouse fibroblasts) were cultured on the materials for nine days. There was no toxic effect of composite materials made of poly(caprolactone) containing porogen particles: hydroxyapatite, crystalline nanocellulose, and graphene oxide on cells. The desired effect of the porogens used in the foaming process on the affinity of cells to the resultant material was demonstrated. The tested materials have been shown to be biocompatible and suitable for applications in biomedical engineering.
Enhancement of Corrosion Resistance Properties of Electrodeposited Ni/nano-TiC Composite Layers

This paper presents novel results on the effects of the dispersion of titanium carbide nanoparticles (50 nm mean diameter) into a nickel-plating electrolyte on the corrosion behavior of the nanocomposite layers obtained. The Ni/nano-TiC layers are compared with pure nickel layers obtained at the same electrodeposition parameters with 60 mA·cm−2 current density and 10 min deposition time. The comparative corrosion performances are investigated using a three-electrode electrochemical cell in a solution (mixed boric acid with lithium hydroxide), which simulates the primary water circuit of pressurized water reactors (PWRs). Open circuit potential measurement and electrochemical impedance spectroscopy were employed as the electrochemical methods, using an electrochemical workstation connected to an electrochemical cell, as well as a PC with software to drive the experimental work. The results clearly revealed enhanced corrosion properties for the Ni/nano-TiC hybrid layers as compared to the pure Ni layers. The significantly improved corrosion behavior can be attributed to the TiC nanoparticles embedded into the Ni matrix, which have the effect of insulating centers at the composite layer/corrosive solution interface.
CRITICAL REVIEW OF PHARMACEUTICAL PROSPECTS OF NAGA BHASMA (INCINERATED LEAD)

Bhasma’s occupied significant place in Ayurvedic system of medicine. Rasashastra is a branch of Ayurveda that primarily utilizes metals and minerals in the form of Bhasma for therapeutic purpose. Based on their experiences, the ancient Acharya’s of Rasashastra have described several for preparing Bhasma of single metal based on the therapeutic utility and to impregnate expected properties in respective metal. Even in one text these methods differs between themselves in terms of accompaniments and process detail. Correspondingly, the processing of certain metals lead to Bhasmas with different forms and colours. Hence it is important to know the various ways of processing the single metal. Naga Bhasma is one of such preparation basically indicated for the treatment of Prameha (Diabetes mellitus), various skin diseases and for aphrodisiac therapy. Therefore in this paper, attempt has been made to decipher the different preparative procedure of Naga Bhasma according to different classical text of Rasashastra. Present work aimed to compile different pharmaceutical procedure of Naga Bhasma preparation along with their probable therapeutic aspect. Critical review of pharmaceutical procedure of Naga Bhasma is compiled from available classical text which includes basic procedure, material used for the procedure, number of incineration cycles and colour of final product. Attempt has been made to withdraw possible interpretation between rationality of different methods and therapeutic indications. There are 97 methods of Naga Bhasma preparation which includes Puta (31), Jarana followed by puta (31), Jarana (15), Lepa followed by Puta (7), Dhamana (3), Damaru Yantra Patana (3), Lepa-Jarana followed by Puta (2), Pishti followed by Puta (3) and Utthapana (2). Therapeutic indications of Naga Bhasma depend on the method and media utilized for Bhavana and incineration cycles.
Residual stress investigation in the metallic coating approach of micro-sized particles on the substrate: cold spray additive manufacturing

ABSTRACT Recently, copper and its alloys have been widely used as coating materials due to their high applications in industries and the medical sector. Meanwhile, it is necessary to investigate several stresses induced in such coatings, especially residual stress (RS). Furthermore, this RS can influence the integrity of a coating or repair. The RS is favourable for fatigue life, fatigue strength and resistance to crack under environmental assistance. Meanwhile, the cold spray additive manufacturing approach (CSAM) has been widely adopted for successful metallic coating. The deposition phenomenon is due to the high-velocity impact with a high strain rate that introduces different stresses in the coating and substrate. In this study, both experimental and numerical approaches were adopted to investigate the RS in coating. A finite element approach called Abaqus/Explicit has been used to validate the residual stress under high-velocity impact. The experimental techniques, i.e. X-ray diffraction, scanning electron microscopy, Debye-Scherrer μ-X360n analyser have used to investigate the deposition of cold spray. Numerical output gives minute deviation of RS from the experimental one. It has been found that sufficient RS is induced to enhance the coating life used for several engineering and medical aspects along with improved fatigue life and strength.
Dissociation of sulfur oxoacids by two water molecules studied using ab initio and density functional theory calculations

Using ab initio [SCS-MP2 and CCSD(T)] and density functional theory (M062X) calculations, we have studied the geometries and energies of sulfur oxoacids H2SmO6 (m = 2–4) and their monohydrated and dihydrated clusters. When including the results from previously reported disulfuric acid (H2S2O7) cases, the gas phase acidity is ordered as H2S2O6 < H2S3O6 < H2S2O7 < H2S4O6. The intramolecular H-bonding, which may indicate the degree of structural flexibility in this molecular series, is an important factor for the order of the gas phase acidity. All these sulfur oxoacids show dissociated (or deprotonated) geometries with only two water molecules, although the energies of the dissociated conformers are ranked differently. All of the dissociated conformers form a unique H-bonding network structure in which the protonated first water (H3O+) is triply H-bonded to each oxygen atom of two SO3 moieties as well as the second water, which in turn is H-bonded to a SO3 moiety. H2S3O6 has the best molecular flexibility for adopting such an H-bonding network structure, and thereby all the low-lying conformers of H2S3O6(H2O)2 are dissociated. In contrast, the least flexible H2S2O6 forms such a structure with a high strain, and dissociation of H2S2O6(H2O)2 is found from the third lowest conformer. Although the gas phase acidity of H2S4O6 is the highest in this series, the lowest dissociated conformer and the lowest undissociated conformer of H2S4O6(H2O)2 are very close in energy. This is because forming the H-bonding network structure is somewhat difficult due to the large distance between the two SO3 moieties.
METAPHOR IN ATTICUS' SELECTED POEMS

What distinguishes literary works from other written non-literary works is the aesthetic value gained by using figurative language in most of literary works. There are various types of figurative language with different usages for each type. Metaphor is a type of figurative language used in literary works and becomes the focus of this study. Atticus is one of the famous poets in social media where his works have been published since 2017. This study aims to identify the types of metaphors found in the selected poems of Atticus', based on theory by Lakoff and Johnson (2003). The method used in this study is descriptive qualitative. The data of this study are sentences in which the metaphorical expressions are marked in italics. The data sources are the poems taken from Atticus' book entitled Love Her Wild, with a total of 20 poems selected. The results of this study show that all types of metaphor: structural metaphor, orientational metaphor, and ontological metaphor are found in the selected poems, where ontological metaphor becomes mostly found type.
Neonatal Sequential Organ Failure Assessment (nSOFA) Score within 72 Hours after Birth Reliably Predicts Mortality and Serious Morbidity in Very Preterm Infants

The aim of this study was to assess the applicability of the neonatal sequential organ failure assessment score (nSOFA) within 72 h after delivery as a predictor for mortality and adverse outcome in very preterm neonates. Inborn neonates <32 weeks of gestation were evaluated. The nSOFA scores were calculated from medical records in the first 72 h after birth and the peak value was used for analysis. Death or composite morbidity at hospital discharge defined the adverse outcome. Composite morbidity consisted of chronic lung disease, intraventricular haemorrhage ≥grade III, periventricular leukomalacia and necrotizing enterocolitis. Among 423 enrolled infants (median birth weight 1070 g, median gestational age 29 weeks), 27 died and 91 developed composite morbidity. Death or composite morbidity was associated with organ dysfunction as assessed by nSOFA, systemic inflammatory response, and low birthweight. The score >2 was associated with OR 2.5 (CI 1.39–4.64, p = 0.002) for the adverse outcome. Area under the curve of ROC was 0.795 (95% CI = 0.763–0.827). The use of nSOFA seems to be reasonable for predicting mortality and morbidity in very preterm infants. It constitutes a suitable basis to measure the severity of organ dysfunction regardless of the cause.
FSM-HSVM-Based Locomotion Mode Recognition for Exoskeleton Robot

This paper proposes a hierarchical support vector machine recognition algorithm based on a finite state machine (FSM-HSVM) to accurately and reliably recognize the locomotion mode recognition of an exoskeleton robot. As input signals, this method utilizes the angle information of the hip joint and knee joint collected by inertial sensing units (IMUs) on the thighs and shanks of the exoskeleton and the plantar pressure information collected by force sensitive resistors (FSRs) are used as input signals. This method establishes a framework for mode transition by combining the finite state machine (FSM) with the common locomotion modes. The hierarchical support vector machine (HSVM) recognition model is then tightly integrated with the mode transition framework to recognize five typical locomotion modes and eight locomotion mode transitions in real-time. The algorithm not only reduces the abrupt change in the recognition of locomotion mode, but also significantly improves the recognition efficiency. To evaluate recognition performance, separate experiments are conducted on six subjects. According to the results, the average accuracy of all motion modes is 97.106% ± 0.955%, and the average recognition delay rate is only 25.017% ± 6.074%. This method has the benefits of a small calculation amount and high recognition efficiency, and it can be applied extensively in the field of robotics.
Analogy Powered by Prediction and Structural Invariants: Computationally Led Discovery of a Mesoporous Hydrogen-Bonded Organic Cage Crystal

Mesoporous molecular crystals have potential applications in separation and catalysis, but they are rare and hard to design because many weak interactions compete during crystallization, and most molecules have an energetic preference for close packing. Here, we combine crystal structure prediction (CSP) with structural invariants to continuously qualify the similarity between predicted crystal structures for related molecules. This allows isomorphous substitution strategies, which can be unreliable for molecular crystals, to be augmented by a priori prediction, thus leveraging the power of both approaches. We used this combined approach to discover a rare example of a low-density (0.54 g cm–3) mesoporous hydrogen-bonded framework (HOF), 3D-CageHOF-1. This structure comprises an organic cage (Cage-3-NH2) that was predicted to form kinetically trapped, low-density polymorphs via CSP. Pointwise distance distribution structural invariants revealed five predicted forms of Cage-3-NH2 that are analogous to experimentally realized porous crystals of a chemically different but geometrically similar molecule, T2. More broadly, this approach overcomes the difficulties in comparing predicted molecular crystals with varying lattice parameters, thus allowing for the systematic comparison of energy–structure landscapes for chemically dissimilar molecules.
Coproduction of Microbial Oil and Carotenoids within the Circular Bioeconomy Concept: A Sequential Solid-State and Submerged Fermentation Approach

The main objective of integrative biorefinery platforms is to propose efficient green methodologies addressed to obtain high-value compounds with low emissions through biochemical conversions. This work first screened the capacity of various oleaginous yeast to cosynthesize high-value biomolecules such as lipids and carotenoids. Selected strains were evaluated for their ability to coproduce such biocompounds in the waste-based media of agro-food (brewer’s spent grain, pasta processing waste and bakery waste). Carbon and nitrogen source feedstock was obtained through enzymatic hydrolysis of the agro-food waste, where up to 80% of total sugar/starch conversion was obtained. Then, the profitability of the bioprocess for microbial oil (MO) and carotenoids production by Sporobolomyces roseus CFGU-S005 was estimated via simulation using SuperPro Designer®. Results showed the benefits of establishing optimum equipment scheduling by identifying bottlenecks to increase profitability. Sensitivity analysis demonstrated the impact of MO price and batch throughput on process economics. A profitable process was achieved with a MO batch throughput of 3.7 kg/batch (ROI 31%, payback time 3.13 years). The results revealed areas that require further improvement to achieve a sustainable and competitive process for the microbial production of carotenoids and lipids.