Miracle-dz/UniFAR-FTUs huggingface dataset:
Attenuating Effect of Spirulina Platensis and Alpha-lipoic acid against Aspartame induced Oxidative stress and Brain damagein Rabbits

Spirulina and lipoic acid has been considered as one of the most effective in anti- oxidative stress and anti-inflammatory activity.Aspartame (ASP) is one of the mostwidely used (artificial sweeteners)used in a variety of foods and feeds.This study was conducted to evaluate the possible protective effect of Spirulina and alpha-lipoic acid against aspartame induced oxidative stress and brain damage in rabbits . Forty two Rabbits were classified into 7 equal groups. Group I: (Control group) received no drugs. Group II: rabbits administered with alpha-lipoic acid (100mg/kg b. wt/day). Group III: rabbits received spirulina (1500 mg/kg b. wt/day). Group IV: rabbits received aspartame (250 mg/kg. b. wt/day). Group V: rabbits received aspartame and treated with alpha- lipoic acid. Group VI: rabbits received aspartame and treated with spirulina. Group VII: rabbits received aspartame and treated daily with alpha- lipoic acid and spirulina for 8 weeks. The obtained results showed a significant up-regulation of TNF-α and caspase 3 gene expression level and marked increase in L-MDA and DNA damage that was indicated by an increase in tail length and tail DNA percent in brain tissue of aspartame treated rabbits. However, brain SOD activity andGSH concentration were markedly decreased when compared with control group.Coad ministrationof spirulinaand alpha lipoic acid protect aspartame induced brain damage in rabbits caused a significant improvement of all previous parameters and attenuate DNA changes. Conclusively, Spirulina and alpha-lipoic acid treatment exerts a protective effect against DNA damage and oxidative stress in Brain ofaspartame through free radical scavenging and anti-inflammatory.
Nourishing resistance and healing in dark times: teaching through a Body-Soul Rooted Pedagogy

For centuries, schooling has enacted trauma and cultural erasure. Today, the neoliberal corporate ‘reform’ agenda contributes to destabilizing communities and separating educators, children, and families from the power education holds to unlock inquiry, creativity, connectedness, and agency toward resistance. Authors shape a pedagogical framework for use across teacher education and schools utilizing Chicana Feminist and Indigenous epistemologies. In earlier work, authors posit six tenets of Body-Soul Rooted Pedagogy galvanizing resistance/resilience mechanisms enduring in body, spirit, and land to transform education. Here, we forward Tenet 6, which shapes a hopeful, healing, regenerative pedagogy for the traumas of U.S. schooling.
Mastitis and Antibiotic Residues in Egyptian Raw Milk with Lactic Acid Bacteria Population in Dairy Products Retailed in Cairo and Giza Area

Raw milk and dairy products samples were collected from different locations at Cairo and Giza governorates that were microbiologically analyzed for diagnosis of mastitis and its probable bacterial causative agents, using bromothymol blue indicator test and conventional bacteriological examination. Also, a simple test for detection of antibiotic residues in the raw milk samples was used (2, 3, 5-triphenyl tetrazolium chloride). Soft cheese samples were examined for the presence and distribution of lactic acid bacteria (LAB). Samples of yoghurt, ice cream, cream and butter, were examined for the frequent distribution of different kinds of LAB and their counts using different selective media. The results revealed that all tested milk samples were negative for mastitis and antibiotics. Whereas, Staphylococcus aureus and Escherichia coli -as clinical and subclinical etiologies of mastitis were present in 45 and 57% respectively in the examined samples of raw milk. The data indicated that the highest count of total lactic acid bacteria was shown in Kariesh cheese. Meanwhile, the lower the counts of total LAB were detected in Talaga then Feta cheeses and Domiati cheese was the lowest cheese containing LAB. The results indicated that, 12.5 % of yoghurt samples were negative for LAB on different media. In ice cream, approximately 77% of the samples contained Streptococcus as shown on Ellikar media as mesophilic or as physcrotrophic bacteria. All cream samples showed that the average counts was ~5.0 log cycle CFU/g for Lactobacilli on MRS media, while the other media showed similar counts. In butter, 80% of samples showed 4.8 log cycle CFU/ g on Elliker for mesophilic LAB, while physcrotrophic LAB were in counts ~ 3.96 log cycle CFU/g.
Expression, Activity and Cellular Localization of Pectin Methylesterase in Grape Berry Skin during Ripening

Kipening ot grape berry involves a series ot complex physiologic changes in which senescing tissues undergo programmed changes in firmness, texture, coloration, flavour and susceptibility to microbial infection. Softening is accompanied by modifications in cell wall polymers that involve the co-ordinated and independent action of a range of cell wall-modifying enzymes such as pectin methylesterase (PME). In the present work, expression of VVPME, activity and cellular localization of the enzyme were studied in berry skin during ripening. Our results show that expression and activity were well correlated. VVPME and PME activity decrease during the colour change period then increase at the end of ripening in relation with the loosening of skin cell-wall and the increase in susceptibility to pathogens. The subcellular localization of PME in developing skin berry was performed via immunogold electron microscopy technique and shows that few gold particles representing PME are found on the cell-wall. This work will provide new insight for the regulation of structural changes in pectin chains and hemicellulose and its early may constituted a key event in the induction of grape softening.
Dynamic Modeling of a Hydrogel-based Continuum Robotic Arm with Experimental Validation

Control of robots with soft actuators is still challenging due to the complexity of modeling actuator material dynamics in conjunction with the robot dynamics. In this paper, we introduce a 45-mm-long soft continuum robot with distributed local actuators in the form of cubes composed of a novel temperature-responsive hydrogel, each with an embedded Joule heater. We refer to these as soft voxel actuators (SVAs). We present a dynamical model of this hydrogel-based continuum robot based on Cosserat rod theory. We experimentally identify the relationship between step input voltages applied to the SVAs and their resulting force outputs. In addition, we identify other unknown parameters of the model using vibration tests with the robot. We then numerically solve the Cosserat model and compare simulations of the model to measurements of the robot’s tip displacement over time during open-loop control trials in which subsets of the SVAs are actuated. The normalized root-mean-square errors (NRMSEs) between the simulated and experimentally measured displacements are below 10%, which demonstrates the accuracy of the Cosserat model in describing the dynamics of the hydrogel-based continuum robot.
Phytochemical Analysis and In Vitro Antimicrobial Potential of Ganoderma applanatum (Pers.) Pat. of Shivamogga District-Karnataka, India

Ganoderma applanatum, a wild macrofungi was screened for phytochemical composition and evaluate possible in vitro antimicrobial potential of various organic solvent extracts. The phytochemical screening was performed by Harborne method and antimicrobial activity against human pathogens was evaluated by agar well diffusion method. The phytochemical analysis reveals that the extracts were a rich source of phytoconstituents containing saponins, phenols, steroids, glycosides, terpenoids and flavonoids. Methanol extract was shown to be more effective against all the tested pathogens followed by aqueous, petroleum ether and chloroform extract. S.auresus was found to be more sensitive organism followed by E.coli and B.subtilis. Methanol extract have higher solubility for more active antimicrobial and phytochemical constituents, consequently displaying the highest antimicrobial activity. The extract could be potential source of new antimicrobial agents and scientifically validates the use of the macro fungi in traditional medicine.
Independent Component Analysis for Different Movements Detection in BCI Application Based on Sensorimotor Rhythms

This article discusses the use of independent component analysis (ICA) to detect different movements that are most significant for the brain-computer interface, in relation to the rehabilitation of post-stroke patients with upper limb paresis. The control signal for the brain-computer interface uses synchronization (desynchronization) of the sensorimotor rhythm (SMR) during motor imagery. ICA is used to increase the signal-to-noise ratio in the case of a mixed signal by separating activity sources from each other. A comparative analysis of the effectiveness of the evoked synchronization (desynchronization) reactions detection of the SMR in the left hemisphere in the original EEG signal in channel C3 and in the ICA extracted using 7 electrodes was performed. The results obtained by subjects who participated in the experiment for the first time and those who received short-term feedback training were also analyzed. It is shown that in experiments on motor imagery, the continuous rhythmic movement of the graspopening of the hand is more effective than a single continuous grasp.
Spatial-Temporal Trends of Rainfall, Maximum and Minimum Temperatures Over West Africa

This article investigates the magnitude and significance of spatial-temporal trends of 37 years’ time series of the gridded data for rainfall, maximum (Tmax) and minimum (Tmin) temperature for West Africa. A modified Mann-Kendall test and Theil-Sen's slope estimator were utilized to test the significance and the magnitude of trends, respectively. The magnitude of significant trends for three variables between six agroecological zones (AEZs) was compared. Gridded climate data represented gauge data with high accuracy and, therefore, can reliably complement the sparse observation network in West Africa. The three variables showed significant positive and negative trends of varying magnitude and spatial extent. June to September rainfall showed a positive increase (0.1–5 mm/month/year) that mostly occurred north of 11° latitude. October rainfall showed a positive trend across the region, but the magnitude was higher south of the same latitude. A widespread significant warming trend was observed across all AEZs and months. However, a localized cooling in August and September over the Sahel and Sudan Savanna was an exception. The cooling over the two AEZs coincided with a positive trend of rainfall. The zonal analysis revealed that the magnitude of the positive trend of June, September, and October rain increased following a North–South gradient from the Sahel to humid forest AEZs. Results provide spatial evidence of climate change in a limited data environment to guide the targeting of appropriate adaptation measures. The information generated from this article helps the design of early warning systems against droughts and floods.
Research on Interactive Collaborative Decision-Making Method of Equipment Support Task Planning

According to the distribution, dynamic and complexity of equipment support task planning base on network, combined with the relation of the organization structure of the equipment support command system, a master-slave interactive collaborative decision-making method based on network is proposed. By defining the concept of conflict degree based on vector angle, the method gives a quantitative method for the degree of conflict of group cooperative decision; The conflict degree judgment model and the decision variable adjustment model is constructed, and conflict elimination is completed though a network centric interactive collaborative approach, so that the opinion consensus problem of group decision making is solved. Dynamic simulation and analysis of decision making process based on Petri net model shows that this new method can effectively solve the problem of equipment support task-resource optimization matching and decision making under information condition, and has a good prospect in the new equipment support command information system construction.
A Boundary-Constrained Swarm Robot with Granular Jamming

This paper describes a new type of compliant and configurable soft robot, a boundary-constrained swarm. The robot consists of a sealed flexible membrane that constrains both a number of mobile robotic subunits and passive granular material. The robot can change the volume fraction of the sealed membrane by applying a vacuum, which gives the robot the ability to operate in two distinct states: compliant and jammed. The compliant state allows the robot to surround and conform to objects or pass through narrow corridors. Jamming allows the robot to form a desired shape; grasp, (a) manipulate, and exert relatively high forces on external objects; and achieve relatively higher locomotion speeds. Locomotion is achieved with a combination of whegs (wheeled legs) and vibration motors that are located on the robotic subunits. The paper describes the mechanical design of the robot, the control methodology, and its object handling capability.
New records in distribution of lichens and lichenicolous fungi

43 species of lichens and 60 species of lichenicolous fungi are reported from various countries, and some cases of new hosts are given for lichenicolous fungi. Pyrenidium actinellum is new to Australia; Acarospora impressula, Buellia chionea, Celothelium ischnobelum, Endococcus parietinarius, Fuscidea gothoburgensis, Lecanora dispersoareolata, Miriquidica complanata, Peccania coralloides, Pronectria erythrinella, Protothelenella croceae, Pycnora leucococca, Refractohilum galligenum, Rimularia gyrizans, Roselliniopsis ventosa, Squamarina poeltii, Stereocaulon incrustatum, Sterocaulon vesuvianum var. symphycheiloides and Syzygospora bachmannii are new to Greenland; Pyrenula chlorospila is new to Poland; Arthonia peltigerina is new to Canada; Bacidia killiasii, Libertiella malmedyensis, Pronectria ornamentata and P. tenuispora are new to Finland; Buellia lecanorae is new to the British Isles; Capronia peltigerae, Chromatochlamys muscorum var. octospora and Epicladonia stenospora are new to Norway; Cercidospora epicarphinea is new to Tunisia; Cercidospora lichenicola is new to Iceland; Dacampia rufescentis, Lichenopeltella peltigericola and Niesslia cladoniicola are new to Russia; Karsteniomyces peltigerae is new to the Netherlands; Pronectria robergei and Thelocarpon olivaceum are new to Germany; Leucocarpia dictyospora, Polycoccum peltigerae and Stigmidium peltideae are new to USA; Nanostictis peltigerae is new to Austria and Russia; Psoroma hirsutulum is new to Faroe Islands and Norway; Skyttella mulleri is new to Finland and Greenland; Stigmidium glebarum is new to Greenland and Norway, Karsteniomyces tuberculosus is new to Finland, Germany, Poland and Russia; Lasiosphaeriopsis salisburyi is new to the British Isles and the Netherlands; and Leptosphaerulina peltigerae is new to Greenland, Iceland and the Czech Republic.
Feeding management in early life influences microbial colonisation and fermentation in the rumen of newborn goat kids

The aim of this work was to study the colonisation of the rumen by the three main microbial groups over the first 4 weeks of life and to assess to what extent the type of feeding management (natural with the mother, NAT, or artificial with milk replacer, ART) exerts an effect. Thirty pregnant goats carrying two fetuses were selected. At birth, one kid was taken immediately away from the doe and fed milk replacer (ART), while the other kid remained with the mother (NAT). Groups of four kids (from ART and NAT experimental groups) were slaughtered at 1, 3, 5, 7, 14, 21 and 28 days of life, resulting in seven sampling times. On the sampling day, after slaughtering, the rumen was weighed full and empty and the content sampled and pH measured. Aliquots of rumen digesta were immediately frozen for DNA and volatile fatty acid (VFA) analyses. The weight of the rumen was higher in NAT kids from Day 21 onward, while no difference was observed for rumen content volume. The three microbial groups (bacteria, archaea and protozoa) were detected from Day 1 in both experimental groups. The concentration of bacteria was higher in the rumen of NAT kids on Days 3, 5, 7 and 14 and of protozoa from Day 3 onward. This was reflected in greater VFA concentrations and lower pH in the rumen of NAT kids from Day 3. Our results confirmed substantial microbial colonisation from the first day of life in the undeveloped rumen. The feeding management (natural vs artificial) before weaning had an effect on microbial colonisation and rumen fermentation and, therefore, it should be considered when designing nutritional intervention strategies in early life.
Dual-mode Planar Resonator Based Balun BPF for Bluetooth Applications

In this paper, a multifunctional balun band-pass filter (BPF) circuit for Bluetooth application is reported. Two multimode resonators and open-circuited transmission line have been utilized to obtain balun BPF response. Theoretical and full-wave EM simulations are discussed in detail along with the even-odd mode analysis. Even and odd mode frequencies as well as transmission zero frequency can be flexibly controlled through structural parameters. Based on the principle of open-circuited transmission line and dual-mode resonators, a compact Balun BPF circuit has been designed and validated through measured results. The designed balun BPF has insertion and reflection loss better than 3 dB and 40 dB respectively in the operating band. Measured isolation of 10 dB is obtained in between both the unbalanced output ports. The two output ports have an amplitude imbalance of 0 dB and a phase imbalance of 180 degrees at the design frequency of 2.4 GHz.
A petal-array capacitive tactile sensor with micro-pin for robotic fingertip sensing

With the rapid development of intelligent robot, the requirements for tactile sensor become higher. A novel capacitive tactile sensor with petal array for fingertip sensing is proposed in this paper. The sensor uses high elastic micro-pin that is inspired by the human fingertip’s Merkel cell complex. The sensitivity and range of detection are greatly improved. The multi-array tactile points are arranged in a petal structure that can reduce cross-coupling between the points. Then the calibration and tests are implemented to prove the performance in sensitivity, measurement range and measurement density. Finally, the experiments of fingertip sensing are designed. Eight operation states of the robotic fingertip can be detected and recognized by the sensor. The experiments have verified the effectiveness of the proposed tactile sensor for fingertip sensing.
Identification High Influential Articles by Considering the Topic Characteristics of Articles

The topic of one article reflects its main semantic content, which is also the main guidance for researchers to choose reference literature. In order to explore whether the topic of an article will affect its citation trend in future, this paper establishes a machine learning framework to study the role of topic characteristics in the prediction of future high influential articles. Articles from four different disciplines are collected as experimental samples to verify whether the framework proposed in this paper can be applied to the prediction task in different disciplines. The Latent Dirichlet Allocation (LDA) is used to determine the topic characteristics of sample articles. LDA can map sample articles to current hot topics and generate the mapping probability of sample articles under different hot topics. The maximum mapping probability of the sample article under the hot topics is extracted as the topic feature of the article. Then the feature space for the prediction task is constructed by combining the topic feature and some bibliometrics indices of articles. Three feature selection algorithms, Fisher Score, Relief-F and Spectral Feature Selection (SPEC), are taken to select the important features in the feature space. The prediction performance of these features is finally tested by three classifiers, SVM, KNN and Bagging. The experimental results show that the topic characteristics of article, the early citation characteristics of article, and the reputation of the author are the key factors that determine whether an article can grow into a highly influential one. The important value of topic characteristics in articles’ citation activities shows that the content of the article is an important factor in attracting more citations.
High Gain Optical Sensors Enabled by Subthreshold Operation of Photodiode-Gated Transistors

In optical sensors, it is desirable to have high gain leading to high sensitivity and high signal to noise ratio (SNR). Conventionally, the most popular approaches are avalanche photomultiplication initiated by impact ionization in an avalanche photodiode and active pixel sensor (APS) with in-pixel amplifier. However, the former requires high electric field which induces high shot noise and the latter needs a multiple-transistor pixel circuit which compromises the fill factor. This paper summarizes our recent work in high gain integrated optical sensors enabled by subthreshold operation of photodiode-gated transistors.
Graph Kernel Based Clustering Algorithm in MANETs

The mobile ad hoc network (MANET) is a kind of dynamic, easy to construct and universal network, which has been widely concerned by a large number of researchers. Graph theory provides an effective theoretical tool for MANETs modeling and analysis. Clustering is one of the most effective methods to measure network performance with different attributes. This paper gives the basic concept of graph kernel and discusses the principle of optimizing graph kernel and multi-graph kernel. In this paper, we propose a Graph Kernel based Clustering Algorithm in MANETs (GKCA). The GKCA algorithm gives the basic concept of graph kernel, discusses the principle of optimizing graph kernel and multi-graph kernel, and proposes the basic principle based on $d$ -hop graph kernel. GKCA algorithm uses shortest path (SP) to connect different cluster head nodes for packet transmission. The performance of GKCA algorithm, such as the control packets ratio, packets loss ratio, and average end-to-end delay are experimentally evaluated using network simulation (NS2) software. Experimental analysis shows that the proposed approach is efficient, and its performance advantage in dynamic mobile networks is promising.
Control of Treatment in Tumor Dynamical Model with Hysteresis

We consider a problem of the treatment control combining chemotherapy and radiation therapy. In our mathematical analysis we use the dynamical model representing the Norton-Simon hypothesis in tumor cells behavior in presence of chemotherapy. For this model, the bifurcation analysis reveals three parametric zones: (i) monostability zone with the single stable equilibrium corresponding to active tumor; (ii) bistability zone with two coexisting stable equilibria associated with active and dormant tumor states; (iii) monostability zone with the single stable equilibrium regime of dormant tumor. So, the system exhibits specific features of a hysteresis. The results of this bifurcation analysis are used to study the effectiveness of treatment. A parametric diagram in variables associated with the maximum fractional cell kill and concentration of drugs is found for the description of system behavior in presence of chemotherapy. Strategies of treatment combining chemotherapy and radiation therapy are discussed. We show how presence of hysteresis should be taken into account when control treatment strategy is chosen.