Miracle-dz/UniFAR-FTUs huggingface dataset:
Cloning, Expression and Purification of Glutathione Peroxidase of Antarctic Yeast Rhodotorula mucilaginosa AN5

: Glutathione peroxidase (GPx) is a key enzyme in glutathione antioxidant enzyme system, which can remove H2O2 and other oxidants in organisms. In this study, the GPx gene was cloned, sequence analyzed, prokaryotic expressed and purified from Antarctic yeast Rhodotorula mucilaginosa AN5. The GPx gene sequence was amplified successfully by PCR and named RmGPx (GenBank No. KX164292). The open reading frame (ORF) of RmGPx was 498 bp and encoded 165 amino acids. The predicted molecular weight of the protein was 18268.6 Da and the theoretical isoelectric point was 8.37. The recombinant expression plasmid pET-28a-RmGPx was successfully constructed and transferred to E. coli. The protein expression was the optimum when induced by 0.2 mM IPTG at 37 ℃ for 4 hours. The protein was purified by an elution buffer of 100 mM imidazole in Ni NTA column. All study results supply the theoretical foundation for the functional analysis and application of GPx protein.
Accurate Power Allocation of Multienergy Storage Island DC Microgrid Based on Virtual Power Rating

For isolated island dc microgrid connected with multidistributed energy storage, the initial state of charge (SOC) of energy storage is inconsistent and the power distribution of distributed energy storage unit (DESU) may be affected by the mismatched line impedance. Therefore, an adaptive droop coefficient control method based on virtual power rating is designed, which can quickly equalize SOC and eliminate the influence of mismatched line impedance. In the proposed control strategy, the arctangent function is introduced to combine the droop coefficient with the SOC of the energy storage unit, and the characteristic of the arctangent function is used to ensure the fast SOC equilibrium and limit the adaptive adjustment range of the droop coefficient. Considering the actual operating point together with the virtual operating point of the energy storage unit, the virtual power rating is used to construct the compensation term, which can automatically eliminate the output power deviation according to the line impedance difference of the DESU. In addition, the stability analysis is given theoretical support for the proposed control strategy. Finally, the reliability and effectiveness of the proposed strategy are verified by the RTLAB experiment.
Digital supply chain transformation: emerging technologies for sustainable growth

This book shows how organisations can leverage emerging digital technologies to achieve operational effectiveness, build new capabilities, and develop innovative business models to underpin transformation in their supply chains. The contributing authors provide deep insights not only on how these emerging technologies work, but also how to use them to create value for multiple stakeholders and deliver sustainable supply chain outcomes. The book will be of great value to practitioners, students and academics who want to learn about state-of-the-art digital developments in the supply chain field. It helps readers to appreciate how various digital paradigms and tools can be used to create innovative products and services with supply chain viability. It also develops the reader’s critical ability to assess the range of technological solutions used to address contemporary supply chain issues and problems.
Pengaruh Diet Ketogenik terhadap C-Reactive Protein dan Glasgow Prognostic Score pada Pasien Kanker Payudara Metastatik (Uji Klinis Fase 2)

Abstrak Bahan pembentuk energi utama bagi sel kanker berupa glukosa dengan residual laktat yang tinggi akibat efek Warburg. Diet ketogenik akan merubah sumber energi dari glukosa menjadi badan keton, sehingga sel kanker akan mengalami reaksi inflamasi dan kelaparan. Pada pasien kanker payudara metastatik yang belum mendapatkan terapi onkologi spesifik, inflamasi sistemik yang terjadi dapat diukur dengan serum C-Reactive Protein (CRP) dan skor inflamasi sistemik menggunakan Glasgow Prognostic Score (GPS) modified. GPS merupakan salah satu faktor. prediktor independen kelangsungan hidup. Pelaksanaan penelitian ini diawali pada Februari sampai Juli 2018 di Unit Rawat Jalan Bedah Onkologi RSUP Dr. Saiful Anwar Malang, Indonesia. Pada subyek penelitian terjadi penurunan kadar CRP serum yang menunjukkan nilai signifikan sebesar 0,020 (< 0,050) dengan penurunan nilai persentase sebesar 21,1% (>20%). Terjadi pula penurunan skor GPS/mGPS yang menunjukkan nilai signifikan sebesar 0,011 (< 0,050). Abstract The main energy-forming material for cancer cells is glucose with high residual lactate due to the Warburg effect. By converting the energy source from glucose to ketone bodies through a ketogenic diet, cancer cells will experience inflammatory reactions and starvation. For patients with metastatic breast cancer who haven't already obtained specific oncology therapy, the systemic inflammation that occurs can be measured by serum C-Reactive Protein (CRP) and systemic inflammatory scores using the Glasgow Prognostic Score (GPS)/modified GPS, which is a one-factor independent predictor of survival. The implementation of this research started from February to July 2018 at the Outpatient Unit of Surgical Oncology of Dr. Saiful Anwar General Hospital, Malang, Indonesia. In the study subjects, there was a decrease in serum CRP levels which showed a significant value of 0.020 (< 0.050) with a reduction in the percentage value of 21.1% (> 20%). There was also a decrease in the GPS/mGPS score, which showed a significant value of 0.011 (< 0.050).
FUZZY CONTROL OF DIFFERENTIAL DRIVE MOBILE ROBOT FOR MOVING TARGET TRACKING

Tracking of moving objects, including humans has important role in mobile robotics. In this paper, the hierarchical control structure for target/human tracking consisted of high and low level control was presented. The low level subsystem deals with the control of the linear and angular velocities using multivariable PD controller whose parameters are obtained by Particle swarm optimization. The position control of the mobile robot represents the high level control, where we use two fuzzy logic Mamdani controllers for distance and angle control. In order to test the effectiveness of the proposed control scheme a simulation was performed. Two cases, when the mobile robot pursues a target moving along a circular path and when the mobile robot pursues a target moving along a rectangle path, were simulated.
Strategic Engagement of Private Facilities to Increase Public-Private Mix (PPM) Contribution to Nigeria Tuberculosis Case Notification

Introduction: Finding the missing Tuberculosis (TB) cases remains the single most important priority for TB control in Nigeria. Between 66% - 92% of all cases of respiratory diseases including those with symptoms suggestive of TB are first seen byprivate health providers. Dependable, quality surveillance systems and notification are key roles in health services delivery, particularly as it is related to TB control. However, poor notification has been a challenge. This study was to assess the contribution of the public private mix (PPM) to Nigeria Tuberculosis national case notification. Methods: It was a national cross-sectional study. Data were extracted from the National database and reviewed. Private facilities were engaged in 2017 and assessed over 2018-2020. Interventions included: enrolling private practitioners (Private-For-Profit, Faith Based Organization, Private Medicine Vendors and Community Pharmacists), engaging a private standalone Laboratory for Gene Xpert testing within the network of private facilities, use of Mobile App for easy screening and reporting, instituting in 2019 and 38,865 in 2020. There were 18.0% increase in 2018, 36.6% in 2019 and 125.3% increase in 2020 (p < 0.001). Conclusion: Effective engagement of the private sector in TB control efforts in Nigeria using a variety of approaches resulting in improved TB notification is possible. The National TB Programme should engage all private practitioners such that each practitioner will practice at least one TB service model.
Soft and hard symplectic geometry

1. Basic definitions, examples, and problems. 1.1. Symplectic forms and manifolds. An exterior differential 2-form w o n a smooth manifold V is called nonsingular if the associated homomorphism between the tangent and cotangent bundles of V, denoted Jw : T(V) —• T*(V) and defined by / w ( 0 = w(r, •), is an isomorphism. In this case, the dimension of V is necessarily even (we assume that V is finite-dimensional and all connected components of V have the same dimension), say dimV = m = 2n, and the exterior power oj (which is a top-dimensional form on V) does not vanish on V. Conversely, if uj does not vanish, then UJ is nonsingular. For example, every (oriented) area form on a surface is nonsingular. A form u) on V is called symplectic if it is nonsingular and closed, that is, du) = 0. Then (V, UJ) is called a symplectic manifold. EXAMPLES. Every surface with an area form is a symplectic manifold. If (Vi>Ui) are such surfaces for i = 1 , . , n, then the Cartesian product (V^) = (Vi X V2 X • • • X Vn, u)i © u)2 © • • • © wn) is a 2n-dimensional symplectic manifold. The symplectic area w(S) = fs u of every surface S in this V equals the sum of the (oriented! ) areas of the projections S —• Vi. An important special case is the symplectic space (R n ,o; = ]C"=i ^ % Adj/i); that is, the sum of n copies of the (z,2/)-plane R 2 with the usual area form dx A dy. A less obvious example is the complex projective space CP which admits a unique (up to a scalar multiple) 2-form UJ which is invariant under the action of the unitary group U(n + 1) on CP. This form is (easily seen to be) symplectic, and the symplectic area of every surface S C CP equals the average number of the intersection points (counted with algebraic multiplicity) of S with hyperplanes p C C P n , u(s) = J#(snp)dPi
Deep-Learning-Based Real-Time and Automatic Target-to-Background Ratio Calculation in Fluorescence Endoscopy for Cancer Detection and Localization

Esophageal adenocarcinoma (EAC) is a deadly cancer that is rising rapidly in incidence. The early detection of EAC with curative intervention greatly improves the prognoses of patients. A scanning fiber endoscope (SFE) using fluorescence-labeled peptides that bind rapidly to epidermal growth factor receptors showed a promising performance for early EAC detection. Target-to-background (T/B) ratios were calculated to quantify the fluorescence images for neoplasia lesion classification. This T/B calculation is generally based on lesion segmentation with the Chan–Vese algorithm, which may require hyperparameter adjustment when segmenting frames with different brightness and contrasts, which impedes automation to real-time video. Deep learning models are more robust to these changes, while accurate pixel-level segmentation ground truth is challenging to establish in the medical field. Since within our dataset the ground truth contained only a frame-level diagnosis, we proposed a computer-aided diagnosis (CAD) system to calculate the T/B ratio in real time. A two-step process using convolutional neural networks (CNNs) was developed to achieve automatic suspicious frame selection and lesion segmentation for T/B calculation. In the segmentation model training for Step 2, the lesion labels were generated with a manually tuned Chan–Vese algorithm using the labeled and predicted suspicious frames from Step 1. In Step 1, we designed and trained deep CNNs to select suspicious frames using a diverse and representative set of 3427 SFE images collected from 25 patient videos from two clinical trials. We tested the models on 1039 images from 10 different SFE patient videos and achieved a sensitivity of 96.4%, a specificity of 96.6%, a precision of 95.5%, and an area under the receiver operating characteristic curve of 0.989. In Step 2, 1006 frames containing suspicious lesions were used for training for fluorescence target segmentation. The segmentation models were tested on two clinical datasets with 100 SFE frames each and achieved mean intersection-over-union values of 0.89 and 0.88, respectively. The T/B ratio calculations based on our segmentation results were similar to the manually tuned Chan–Vese algorithm, which were 1.71 ± 0.22 and 1.72 ± 0.28, respectively, with a p-value of 0.872. With the graphic processing unit (GPU), the proposed two-step CAD system achieved 50 fps for frame selection and 15 fps for segmentation and T/B calculation, which showed that the frame rejection in Step 1 improved the diagnostic efficiency. This CAD system with T/B ratio as the real-time indicator is designed to guide biopsies and surgeries and to serve as a reliable second observer to localize and outline suspicious lesions highlighted by fluorescence probes topically applied in organs where cancer originates in the epithelia.
The first complete mitogenomes and phylogeny of Georgian Mountain Cattle

Abstract The Georgian Mountain Cattle (GMC) (Species: Bos taurus Linnaeus, 1758 – aurochs, domesticated cattle, domestic cattle (feral), Aurochs, Subspecies: Bos taurus taurus Linnaeus, 1758) is a local breed from Georgia. It is well adapted to the harsh mountain conditions of the Caucasus, resistant to different pathogens and able to provide milk during the lowest feed rations. In this study, we report for the first time the complete mitochondrial genome sequence of GMC. We selected the five unique control region mitochondrial haplotypes of GMC and sequenced for the complete mitogenome, using Illumina MiSeq platform. The results of our research showed a total of 59 substitutions and seven indels, in comparison to the Bovine Reference Sequence (BRS; V00654), with 15 SNPs never observed before. The complete mitochondrial DNA (mtDNA) phylogenetic analyses revealed hitherto unknown haplotypes falling outside the known taurine diversity. Four mitogenomes fell within haplogroup T (sub-lineages T1, T3, and T5), while one belonged to haplogroup Q (branch Q1). The combination of our results with precision agriculture holds great promises for the identification of genetic variants economically affecting important traits of GMC cattle.
Synchronous Adaptive Resolver-to-Digital Converter for FPGA-Based High-Performance Control Loops

This paper deals with a gain scheduling synchronous demodulation scheme useful to obtain speed and position measurements from resolver position sensors. The proposed algorithm is devoted to a field-programmable gate array implementation in order to provide the elaborated information for very low latency control loops. The presented design allows getting accurate estimations in a wide range of rotational speeds without requiring costly off-the-shelf integrated circuits and leads to higher accuracy at low speed if compared to commercial solutions. To this purpose, the resolver excitation circuit has been simplified working directly with a square wave signal, and the resolver frequency behavior due to the nonsinusoidal excitation has been considered.
Thermally Isolated Ruthenium Nanobolometer for Room-Temperature Operation

We propose a bolometer intended for room-temperature operation and based on a 100-nm-wide ruthenium (Ru) strip fabricated on a thin layer of cross-linked polymethyl methacrylate (XPMMA). This layer provides thermal isolation between the silicon substrate and the Ru nanostrip for increasing the nonlinearity of the bolometer ${I}-{V}$ curve due to more intensive self-heating by the biasing and an ac current. A number of bolometers with Ru strips of different dimensions and different thicknesses of XPMMA layer were fabricated and tested at dc. An estimate based on the dc tests gives the electrical voltage responsivity to radio frequency (RF) signal as much as 250 V/W, which makes the proposed bolometer attractive as a sensing element for a simple and low-cost microwave and terahertz detector. Numerical simulations of temperature distribution along the Ru strip and analysis of the bolometer noise performance are also presented.
Consolidated Transport Service Pricing in Supply Hub in Industrial Park (SHIP) With Heterogeneous Manufacturers

There is a growing number of industrial parks implementing supply hubs to provide shared logistics services for member manufacturers. Products from manufacturers could be temporarily stored at the supply hub in industrial park (SHIP), and consolidated into one or more vehicles to be delivered to their retail distribution centers. This article discusses how SHIP and heterogeneous manufacturers interact to optimize their decisions on consolidated transportation service pricing and consolidation schedules. An all-unit multiple-breakpoint quantity discount pricing scheme is adopted. This problem is modeled as a bilevel program where the SHIP is treated as the leader and manufacturers as followers. Optimal properties of the proposed model are analyzed and the global optimal solution is derived. Numerical studies are conducted to examine the effectiveness of this pricing scheme through comparing with the regular transportation price under various circumstances. The results show that the SHIP operator could always increase profit by using this pricing scheme, while manufacturers’ performances are not affected. Among heterogeneous manufacturers with various production capabilities and resources, the SHIP could gain the largest profit increase through adopting quantity discount pricing from medium-sized manufacturers.
Cellular Bioenergetics: Experimental Evidence for Alcohol-induced Adaptations

Abstract At-risk alcohol use is associated with multisystemic effects and end-organ injury, and significantly contributes to global health burden. Several alcohol-mediated mechanisms have been identified, with bioenergetic maladaptation gaining credence as an underlying pathophysiological mechanism contributing to cellular injury. This evidence-based review focuses on the current knowledge of alcohol-induced bioenergetic adaptations in metabolically active tissues: liver, cardiac and skeletal muscle, pancreas, and brain. Alcohol metabolism itself significantly interferes with bioenergetic pathways in tissues, particularly the liver. Alcohol decreases states of respiration in the electron transport chain, and activity and expression of respiratory complexes, with a net effect to decrease ATP content. In addition, alcohol dysregulates major metabolic pathways, including glycolysis, the tricarboxylic acid cycle, and fatty acid oxidation. These bioenergetic alterations are influenced by alcohol-mediated changes in mitochondrial morphology, biogenesis, and dynamics. The review highlights similarities and differences in bioenergetic adaptations according to tissue type, pattern of (acute vs. chronic) alcohol use, and energy substrate availability. The compromised bioenergetics synergizes with other critical pathophysiological mechanisms, including increased oxidative stress and accelerates cellular dysfunction, promoting senescence, programmed cell death, and end-organ injury.
Cooking Methods Revealed Differences in Quality Content of Prepared Soyabean Extended Chicken Nuggets

Soyabean extended chicken nuggets (SECN) were prepared, separately fried, grilled and roasted. The cooked nuggets were formulated as diets and fed to weaning rats (n=50) using standard casein and nitrogen free diets as controls. Quality attributes were assessed based on physico-chemical, sensory properties, proximate compositions, amino acids, total cholesterol and shelf stability in terms of lipid oxidation and microbial load as well as the effect of the feed on growth performance of weaned albino rats. Apart from slight variation (P<0.05), fried SECN, followed by grilled SECN improved yield, flavour, overall acceptability, crude protein and amino acid content in comparison to roasted SECN. The reduced lipid oxidation, total cholesterol and microbial load further enhanced the quality of fried SECN. Similarly, fried SECN was considered as the best based on daily feed intake, weight gained, feed conversion ratio, protein efficiency ratio and biological value. Thus, among the different cooking methods, deep-frying enhanced the quality of SECN better than other cooking methods as reflected in growth performance of weaned albino rats. Therefore, to harness acceptability of chicken nuggets, soyabean protein extender which is known for its ability to improve product firmness, chewiness and emulsion stability could be used alongside appropriate cooking methods to prepare chicken nuggets with excellent structural and nutritional qualities readily acceptable by consumers.
Evaluating a visual communications tool to explore risk and safety with nurses and patients within an intellectual disability forensic service: A pilot study

ABSTRACT Background Issues of risk and safety can be challenging to discuss with forensic patients with an intellectual disability. Talking Mats is a visual communication tool that facilitates therapeutic conversations. Method A pilot study, adopting an ethnographic approach, was used to evaluate Talking Mats. Interviews and video observations were conducted with nurses and forensic patients with an intellectual disability from two forensic wards in Scotland. Results Exploratory evidence suggests that Talking Mats offers a non-biased platform to discuss potentially emotive issues around risk, safety, and wellbeing. Pre-existing notions of Talking Mats, staff availability, and the context of COVID-19 acted as barriers to adopting the visual communications tool. Conclusion There is value in further research regarding communication tools to facilitate input on care planning and risk management for patients with an intellectual disability.
A Systematic Review of Sensor Fusion Methods Using Peripheral Bio-Signals for Human Intention Decoding

Humans learn about the environment by interacting with it. With an increasing use of computer and virtual applications as well as robotic and prosthetic devices, there is a need for intuitive interfaces that allow the user to have an embodied interaction with the devices they are controlling. Muscle–machine interfaces can provide an intuitive solution by decoding human intentions utilizing myoelectric activations. There are several different methods that can be utilized to develop MuMIs, such as electromyography, ultrasonography, mechanomyography, and near-infrared spectroscopy. In this paper, we analyze the advantages and disadvantages of different myography methods by reviewing myography fusion methods. In a systematic review following the PRISMA guidelines, we identify and analyze studies that employ the fusion of different sensors and myography techniques, while also considering interface wearability. We also explore the properties of different fusion techniques in decoding user intentions. The fusion of electromyography, ultrasonography, mechanomyography, and near-infrared spectroscopy as well as other sensing such as inertial measurement units and optical sensing methods has been of continuous interest over the last decade with the main focus decoding the user intention for the upper limb. From the systematic review, it can be concluded that the fusion of two or more myography methods leads to a better performance for the decoding of a user’s intention. Furthermore, promising sensor fusion techniques for different applications were also identified based on the existing literature.