Miracle-dz/UniFAR-FTUs huggingface dataset:
Phages in the Gut Ecosystem

Phages, short for bacteriophages, are viruses that specifically infect bacteria and are the most abundant biological entities on earth found in every explored environment, from the deep sea to the Sahara Desert. Phages are abundant within the human biome and are gaining increasing recognition as potential modulators of the gut ecosystem. For example, they have been connected to gastrointestinal diseases and the treatment efficacy of Fecal Microbiota Transplant. The ability of phages to modulate the human gut microbiome has been attributed to the predation of bacteria or the promotion of bacterial survival by the transfer of genes that enhance bacterial fitness upon infection. In addition, phages have been shown to interact with the human immune system with variable outcomes. Despite the increasing evidence supporting the importance of phages in the gut ecosystem, the extent of their influence on the shape of the gut ecosystem is yet to be fully understood. Here, we discuss evidence for phage modulation of the gut microbiome, postulating that phages are pivotal contributors to the gut ecosystem dynamics. We therefore propose novel research questions to further elucidate the role(s) that they have within the human ecosystem and its impact on our health and well-being.
Spectrum of Neurological Symptoms in Glycosylphosphatidylinositol Biosynthesis Defects: Systematic Review

Background: Mutations of genes involved in the synthesis of glycosylphosphatidylinositol and glycosylphosphatidylinositol-anchored proteins lead to rare syndromes called glycosylphosphatidylinositol-anchored proteins biosynthesis defects. Alterations of their structure and function in these disorders impair often fundamental processes in cells, resulting in severe clinical image. This study aimed to provide a systematic review of GPIBD cases reports published in English-language literature. Methods: The browsing of open-access databases (PubMed, PubMed Central. and Medline) was conducted, followed by statistical analysis of gathered information concerning neurological symptomatology. The inclusion criteria were: studies on humans, age at onset (<18 y.o.), and report of GPIBD cases with adequate data on the genetic background and symptomatology. Exclusion criteria were: publication type (manuscripts, personal communication, review articles); reports of cases of GPI biosynthesis genes mutations in terms of other disorders; reports of GPIBD cases concentrating on non-neurological symptoms; or articles concentrating solely on the genetic issues of GPI biosynthesis. Risk of bias was assessed using Joanna Brigs Institute Critical Appraisal Checklists. Data synthesis was conducted using STATISTICA 13.3. 721.1 (StatSoft Polska Sp. z.o.o.). Used tests were chi-square, Fisher's exact test (for differences in phenotype), and Mann-Whitney U test (for differences in onset of developmental delay). Results: Browsing returned a total of 973 articles which, after ruling out the repetitions and assessing the inclusion and exclusion criteria, led to final inclusion of 77 articles (337 GPIBD cases) in the analysis. The main outcomes were prevalence of neurological symptoms, onset and semiology of seizures and their response to treatment, and onset of developmental delay. Based on this data a synthesis of phenotypical differences between the groups of GPIBD cases and the general GPIBD cases population was made. Discussion: A synthetical analysis of neurological components in clinical image of GPIBD patients was presented. It highlights the main features of these disorders, which might be useful in clinical practice for consideration in differential diagnosis with children presenting with early-onset seizures and developmental delay. The limitation of this review is the scarcity of the specific data in some reports, concerning the semiology and onset of two main features of GPIBD.
Bacterial Diversity, Organic Acid, and Flavor Analysis of Dacha and Ercha Fermented Grains of Fen Flavor Baijiu

Fen flavor Baijiu needs two rounds of fermentation, which will obtain Dacha after initial fermentation and Ercha after secondary fermentation. The quality of Baijiu is closely related to the microbes within fermented grains. However, the bacterial diversity in Dacha and Ercha fermented grains of Fen flavor Baijiu has not been reported. In the present study, the structure and diversity of bacteria communities within fermented grains of Fen flavor Baijiu were analyzed and evaluated using MiSeq platform’s HTS with a sequencing target of the V3-V4 region of the 16S rRNA gene. Through the analysis of physical and chemical indexes and electronic senses, the relationship between bacterial flora, organic acid, taste, and aroma in fermented grains was clarified. The results indicated that Lactobacillus was the main bacteria in Dacha, and the mean relative content was 97.53%. The bacteria within Ercha samples were Pseudomonas and Bacillus, mean relative content was 37.16 and 28.02%, respectively. The diversity of bacterial communities in Ercha samples was significantly greater than that in Dacha samples. The correlation between Lactobacillus and organic acids, especially lactic acid, led to the difference between Dacha and Ercha organic acids, which also made the pH value of Dacha lower and the sour taste significantly higher than Ercha. Lactobacillus was significantly positively correlated with a variety of aromas, which made Dacha the response value of aromas higher. In addition, Bacillus had a significant positive correlation with bitterness and aromatic compounds, which led to a higher response value of bitterness in Ercha and made it present an aromatic aroma. This study provides an in-depth analysis of the difference between different stages of Fen flavor Baijiu, and theoretical support for the standard production and improvement in quality of Fen flavor Baijiu in the future.
Selection of Cashmere Fineness Functional Genes by Translatomics

Cashmere fineness is an important index to evaluate cashmere quality. Liaoning Cashmere Goat (LCG) has a large cashmere production and long cashmere fiber, but its fineness is not ideal. Therefore, it is important to find genes involved in cashmere fineness that can be used in future endeavors aiming to improve this phenotype. With the continuous advancement of research, the regulation of cashmere fineness has made new developments through high-throughput sequencing and genome-wide association analysis. It has been found that translatomics can identify genes associated with phenotypic traits. Through translatomic analysis, the skin tissue of LCG sample groups differing in cashmere fineness was sequenced by Ribo-seq. With these data, we identified 529 differentially expressed genes between the sample groups among the 27197 expressed genes. From these, 343 genes were upregulated in the fine LCG group in relation to the coarse LCG group, and 186 were downregulated in the same relationship. Through GO enrichment analysis and KEGG enrichment analysis of differential genes, the biological functions and pathways of differential genes can be found. In the GO enrichment analysis, 491 genes were significantly enriched, and the functional region was mainly in the extracellular region. In the KEGG enrichment analysis, the enrichment of the human papillomavirus infection pathway was seen the most. We found that the COL6A5 gene may affect cashmere fineness.
Abnormal Somatosensory Behaviors Associated With a Gain-of-Function Mutation in TRPV3 Channels

Thermosensitive transient receptor potential V3 (TRPV3) is a polymodal receptor implicated in nociceptive, thermoceptive, pruritoceptive, and inflammatory pathways. Reports focused on understanding the role of TRPV3 in thermoception or nociception are not conclusive. Previous studies also show that aberrant hyperactivity of TRPV3 channels results in spontaneous itch and dermatitis-like symptoms, but the resultant behavior is highly dependent on the background of the animal and the skin microbiome. To determine the function of hyperactive TRPV3 channels in somatosensory sensations, we tested different somatosensory behaviors using a genetic mouse model that carries a gain-of-function point mutation G573S in the Trpv3 gene (Trpv3G573S). Here we report that Trpv3G573S mutants show reduced perception of cold, acetone-induced cooling, punctate, and sharp mechanical pain. By contrast, locomotion, noxious heat, touch, and mechanical itch are unaffected in Trpv3G573S mice. We fail to observe any spontaneous itch responses and/or dermatitis in Trpv3G573S mutants under specific pathogen (Staphylococcus aureus)-free conditions. However, we find that the scratching events in response to various pruritogens are dramatically decreased in Trpv3G573S mice in comparison to wild-type littermates. Interestingly, we observe sensory hypoinnervation of the epidermis in Trpv3G573S mutants, which might contribute to the deficits in acute mechanical pain, cool, cold, and itch sensations.
Multiple Roll Angle Fitting of Static Aerodynamic Coefficients of Cruciform Missiles

The aerodynamic characterization of unguided missiles at high angles of attack has been of primary interest for researchers, since nonlinear effects may lead to unexpected steady-state solutions. The usual approach is to add cubic terms to the linear aerodynamic coefficients. However, experiments show the strong roll-orientation dependence of the static normal force and pitch moment, which cannot be addressed with the mere inclusion of cubic terms. This paper presents a fitting procedure based on the Maple-Synge expansion to analytically represent high order roll orientation-dependent aerodynamics of cruciform finned missiles. The study shows that, even at moderate angles of attack of about 15o, expansions to the seventh power may be insufficient to accurately describe the high degree of nonlinearity in the static coefficients.
Adaptive Flutter Suppression for a Fighter Wing via Recurrent Neural Networks over a Wide Transonic Range

The paper presents a digital adaptive controller of recurrent neural networks for the active flutter suppression of a wing structure over a wide transonic range. The basic idea behind the controller is as follows. At first, the parameters of recurrent neural networks, such as the number of neurons and the learning rate, are initially determined so as to suppress the flutter under a specific flight condition in the transonic regime. Then, the controller automatically adjusts itself for a new flight condition by updating the synaptic weights of networks online via the real-time recurrent learning algorithm. Hence, the controller is able to suppress the aeroelastic instability of the wing structure over a range of flight conditions in the transonic regime. To demonstrate the effectiveness and robustness of the controller, the aeroservoelastic model of a typical fighter wing with a tip missile was established and a single-input/single-output controller was synthesized. Numerical simulations of the open/closed-loop aeroservoelastic simulations were made to demonstrate the efficacy of the adaptive controller with respect to the change of flight parameters in the transonic regime.
Risk Prediction for Curve Speed Warning by Considering Human, Vehicle, and Road Factors

Current curve speed warning systems take into account mostly vehicle and road factors but not driver behavior. The systems aim at detecting sideslips of small cars on curves without consideration of rollovers for vehicles with an elevated center of gravity. In this study, a curve speed model that considers human, vehicle, and road factors is built to prevent not only sideslips but also rollover accidents for vehicles with an elevated center of gravity. In addition, a risk prediction model is presented to judge accident risk levels and determine levels of warning. Finally, the effectiveness of the presented system is validated with one skilled driver who carries out one test through a simulator under different curve scenarios. To verify the system, data from simulator tests were collected for offline checking of the system. The data were used to calculate safe speeds by using the curve speed model and to determine the levels of risk based on the risk prediction model. The results show that the system is highly compatible with the skilled driver in terms of warning accuracy and timing. Specifically, the correct alarm rate (i.e., the driver brakes and the system’s alarm goes off) of the system is 83.57% and the error alarm rate (i.e., the driver does not brake but the system’s alarm goes off) is 9.79%. Moreover, more than 80% of the time the difference between the system warning time and the operating time of the skilled driver is less than 2 s.
Load shaping via grid wide coordination of heating-cooling electric loads: A mean field games based approach

Pressure on ancillary reserves in power systems has significantly mounted due to the recent generalized increase of the fraction of (highly fluctuating) wind and solar energy sources in grid generation mixes. Dedicated energy storage devices have seen their role reaffirmed as potentially low carbon print, if expensive tools, for smoothing the resulting generation/demand imbalances. However, a hitherto under utilized, relatively inexpensive energy storage alternative is that formed by the tiny energy wells of electric origin attached to millions of individual customer electric thermal loads. A hierarchical mean field games approach is proposed for shaping their collective load, whereby the top level sets system optimal mean aggregate temperature target trajectories. In turn based on a local state and a mean field dependent cost function, each individual load develops a decentralized local control law such that the aggregate load can meet the set targets. This control law is to be followed only as long as local comfort and safety constraints are secured, thus guaranteeing acceptability by customers. The corresponding mathematical theory is developed and numerical results are reported. Acknowledgments: The authors gratefully acknowledge the support of Natural Resources Canada. Les Cahiers du GERAD G–2015–68 1
Modeling and Simulation Platform Design for 3D Overhead Crane

The dynamic model of a 3D overhead crane system was established by utilizing Lagrange's equation. In the model, not only the motion of the trolley in horizontal plane, but also the variation of the rope length was considered. Furthermore, the main nonlinear disturbances existing in the environment, such as the dynamic and static mechanical frictions, air resistance and so on, were included in the model. Based on the dynamic model, a simulation platform of a 3D overhead crane was constructed for further system analysis and controller design. Experiment results show the correctness of the dynamic model and the validity of the simulation platform.
Strata Behavior in Large Section Face of Steep Seams

Based on field observation and contrast between large section face and ordinary section face,we studied the characteristics of strata behavior and support operation of large section working face.The result shows that 1) the large section face has obvious period strata behavior along strike,with the space length of period strata behavior being 21~26 m,2) the support loads does not increase with the increase of mining depth and section height,indicating that the support is protected by overhead provisional structure,3) the space length of period strata behavior shows an increasing trend with the increase of mining depth and filling density,and 4) because the first increased support resistance accounts for the highest proportion of operation type,the support can keep a good operation performance.
SiGe HBT ICs with high operational to transit frequency ratio: design and design re-use

The recent significant performance improvement of SiGe Heterojunction Bipolar Transistors has opened the way to the millimeter-wave domain. In the future, this will allow the development of new exciting consumer-oriented applications such as high-data-rate wireless systems or high resolution automotive radar. However, with the aggressive scaling of device dimensions and the implementation of new advanced features, the cost of Si-based technologies becomes a major issue. The possible solutions are, first, to use and combine efficient design techniques to reach higher frequencies for a given technology with relaxed lateral scaling. A second approach consists in using a circuit, once the design has been successful, as a foundation for future designs, thus drastically reducing the required time for a design cycle and its cost. These two approaches have been investigated in this work. The four main RF blocks of a typical RF front-end (Low Noise Amplifier, Voltage Controlled Oscillator, Downconverter Mixer and Frequency Divider) have been successfully designed and achieve very good results beyond one third of the transistor transit frequency. Furthermore, by slightly modifying the design topology (mostly the reactive elements), the ICs have been redesigned to operate at higher frequencies and demonstrate very good performance.
Use of Poly (Ethylene Glycol) Coated Superparamagnetic Iron Oxide Nanoparticles as Radio Sensitizer in Enhancing Colorectal Cancer Radiation Efficacy

Backgorund: The aim of the radiotherapy is to deliver a lethal dose to tumor while reducing the impact on the normal tissue. This reduction in impact can be achieved to have a greater therapeutic ratio by using nanoparticles as radiosensitizer. Materials and Methods: In this article, the potential role of superparamagnetic iron oxide nanoparticles (SPIONs) as radiosensitization enhancer on HT 29 cell lines for different concentrations (0.007to 0.25 mg/ml) and different radiation doses (0.5to 2 Gy) of 6MV photon beam is presented. Results: The highest sensitization enhancement ratio (SER) value was observed with 2 Gy for 0.25 mg/ml concentration. Radio sensitization increases with increase in the concentration of nanoparticles. Combination of 6MV energy radiation and polyethylene glycol (PEG) coated SPIONs results in increasing cell killing of HT 29 as compared to cell killing with radiation therapy alone. Conclusion: The results reveal that PEG coated nanoparticle might be a potential candidate to work as radiotherapy sensitizer in colorectal cancer.
Review on Web Page Data Extraction Technique

: By the fast growth of Communications knowledge and communication growth, in only Internet filled despite junk, also websites used as straightforward for navigation pane. Mainstream web page’s text data typically has granular permissions and could be separated interested in a short script sheet and a multiple-script sheet. To retrieve the webpage script data, the location of textual details can be identified correctly using the multiple text functionality and webpage design rules. Web page data extraction means to collect data from a website by submitting a link to the requested page, then combing different objects through the Markup and sorting the data. This article suggested a technique for obtaining site page script data founded on multiple-function synthesis, according to the above features. Simulations based on a huge amount of information demonstrates that the method is standardized and highly accurate for extracting text information from solitary text, multiple-text webpages and also actual appropriate for net applications.
Motion analysis and optimum design of the dual-elbow-bar mechanism of the die-cutting machine

Motion analysis of the dual-elbow-bar mechanism based on the loop method was carried out,and the numerical derivation was given.The simulating curve of the mechanism's motion was drawn by MATLAB and it's motion characteristics was analyzed.The optimization module of the mechanism was built on the basis of simulation analysis,and optimizing calculation was made out.By comparing with the parameter of all components before and after optimization,the motion performance of dual-elbow-bar mechanism was improved.
A randomized clinical comparison of Levobupivacaine Versus Levobupivacaine with Ketamine for postoperative pain Control in LSCS

Aim: The aim of the present study to comparison of levobupivacaine alone versus levobupivacaine with ketamine in subcutaneous infiltration for postoperative analgesia in lower segment cesarean section. Material and Methods: A randomized double blind controlled study conducted in the Department of Anaesthesia, Darbhanga Medical College and Hospital, Laheriasarai, Darbhanga, Bihar, India, for 15 months. A total of 100 adult parturients of Physical status II or III as per the American society of anesthesiologists (ASA) without any medical or obstetrical problems, and scheduled for cesarean section under spinal anesthesia were included in this study. Parturients were randomized to one of the two groups (50 each) according to computer generated random numbers kept in separate, sealed, and numbered envelopes. Group A parturients received subcutaneous surgical wound infiltration with a solution of 0.5% levobupivacaine at 2 mg/kg body weight (rounded to nearest multiple of 10) to a maximum of 150 mg (maximum safe dose) diluted with normal saline to a total of 32 ml. Group B parturients received subcutaneous surgical wound infiltration with a solution of 0.5% levobupivacaine 2 mg/kg body weight (rounded to nearest multiple of 10) to a maximum of 150 mg plus ketamine 1 mg/kg body weight diluted with normal saline to a total volume of 32 ml. Results: We observed that both the groups were comparable with respect to demographic data. The zero hour (baseline) mean heart rates were comparable between groups A and B (P = 0.957). The mean heart rate of group A was higher than that of group B which was statistically insignificant at majority of the time points except at 4 and 6 hour post operative. The intra group comparison of mean heart rate showed a gradual decrease in values across time in both the groups but was more prominent in group B. Correspondingly, parturients in group A had higher mean VAS scores than those in group B at all time intervals and statistically significant difference were observed at 1, 4, 6, and 12 hours. Conclusion: We concluded that the ketamine is an effective adjunct modality to levobupivacaine for local wound infiltration in terms of superior pain relief, lesser need for rescue opioid analgesia, and no major side effects.
Value Based Science: What we can Learn from Micro- and Nanotribology

Value based science is a field that is currently being developed and that can learn from attempts in science and engineering, especially micro- and nanotribology, and vice versa. The current manuscript undertakes a transdisciplinary approach to identify commonalities between the fields and develop approaches to obtain synergistic solutions. Based on global challenges and the most pressing problems that humankind is currently facing, the methodology applies transdis-ciplinary knowledge integration and the innovision method to arrive at new, potentially disruptive recommendations. Innovision is a novel method that addresses the transdisciplinary topic without the aim of creating a new discipline and that is characterised by the development of a new framework of thinking that is the prerequisite for the provision of solutions. Results comprise learning methods for the development of global ethics, a three-gaps approach highlighting pitfalls and potentials ways to bridge gaps, and three exemplary technologies that provide tribologically optimised solutions.