gebhart/patrepeval huggingface dataset:
Influence of diet on the gut microbiome and implications for human health (2017)

Recent studies have suggested that the intestinal microbiome plays an important role in modulating risk of several chronic diseases, including inflammatory bowel disease, obesity, type 2 diabetes, cardiovascular disease, and cancer. At the same time, it is now understood that diet plays a significant role in shaping the microbiome, with experiments showing that dietary alterations can induce large, temporary microbial shifts within 24 h. Given this association, there may be significant therapeutic utility in altering microbial composition through diet. This review systematically evaluates current data regarding the effects of several common dietary components on intestinal microbiota. We show that consumption of particular types of food produces predictable shifts in existing host bacterial genera. Furthermore, the identity of these bacteria affects host immune and metabolic parameters, with broad implications for human health. Familiarity with these associations will be of tremendous use to the practitioner as well as the patient.
Self-assembled monolayers of new dendron-thiols: manipulation of the patterned surface and wetting properties (2001)

SAMs based on a novel dendron-thiol system, which maintain the alkanethiols' active site, but with the -SH group connected to independently variable groups by a dendron-linker, showed a controllable surface pattern and wetting properties. The precisely tailored structure of dendron-thiols with locally controlled hydrophobic and hydrophilic peripheries allows the formation of designed surface structures on a gold surface, e.g. nano-stripes, honeycomb and homogeneous structures.
Modern Electric Vehicle Technology (2001)

Abstract Modern Electric Vehicle Technology covers multidisciplinary aspects of electric vehicles (EVs), and is written for a wide coverage of readers including students, researchers, engineers and administrators. This book is probably the first comprehensive reference book on electric vehicles that includes the following distinct features; It concisely and precisely reviews the state of the art of EV technology and the historical development of EVs, presents the engineering philosophy of electric vehicles. Identifies new configurations, concepts and classifications of modern EV and hybrid EV (HEV) systems. Provides in-depth discussions on electric propulsion systems, emerging EV energy sources and latest EV auxiliaries. Presents the concept of system level simulation and a dedicated EV simulator for system optimisation. and discusses the key issues relating to commercialisation and implementation of EVs.
Molecular cloning and sequence analysis of cDNA encoding δ<sup>4</sup>‐3‐ketosteroid 5β‐reductase of rat liver (1991)

A cDNA clone encoding delta 4-3-ketosteroid 5 beta-reductase was isolated from rat liver cDNA libraries using antibodies specific for the enzyme and oligonucleotides as probes. The cDNA contained 981-base pair open reading frame encoding 327 amino acid residues (Mr 37,376) and an unusually long 3'-untranslated region rich in AT sequence in the total length of 3189 base pairs. The predicted amino acid sequence contains the sequences similar to the putative NADPH- and steroid-binding regions.
Spatial isolation and environmental factors drive distinct bacterial and archaeal communities in different types of petroleum reservoirs in China (2016)

To investigate the spatial distribution of microbial communities and their drivers in petroleum reservoir environments, we performed pyrosequencing of microbial partial 16S rRNA, derived from 20 geographically separated water-flooding reservoirs, and two reservoirs that had not been flooded, in China. The results indicated that distinct underground microbial communities inhabited the different reservoirs. Compared with the bacteria, archaeal alpha-diversity was not strongly correlated with the environmental variables. The variation of the bacterial and archaeal community compositions was affected synthetically, by the mining patterns, spatial isolation, reservoir temperature, salinity and pH of the formation brine. The environmental factors explained 64.22% and 78.26% of the total variance for the bacterial and archaeal communities, respectively. Despite the diverse community compositions, shared populations (48 bacterial and 18 archaeal genera) were found and were dominant in most of the oilfields. Potential indigenous microorganisms, including Carboxydibrachium, Thermosinus, and Neptunomonas, were only detected in a reservoir that had not been flooded with water. This study indicates that: 1) the environmental variation drives distinct microbial communities in different reservoirs; 2) compared with the archaea, the bacterial communities were highly heterogeneous within and among the reservoirs; and 3) despite the community variation, some microorganisms are dominant in multiple petroleum reservoirs.
Composite Fermion Theory for Bosonic Quantum Hall States on Lattices (2009)

We study the ground states of the Bose-Hubbard model in a uniform magnetic field, motivated by the physics of cold atomic gases on lattices at high vortex density. Mapping the bosons to composite fermions (CF) leads to the prediction of quantum Hall fluids that have no counterpart in the continuum. We construct trial states for these phases and test numerically the predictions of the CF model. We establish the existence of strongly correlated phases beyond those in the continuum limit and provide evidence for a wider scope of the composite fermion approach beyond its application to the lowest Landau level.
Etiopathogenesis of Yakruth Vriddi w.s.r ALD (2023)

Yakruth plays an important role in the Chayapachay and Ranjana of Rasa Dhatu. Yakruth and Pleeha are formed by the Raktadhatu. Yakruth is situated at the Dakshina bhaga and Pleeha at the Vaama bahga. Yakruth and Pleeha are the Moola Sthana of the Raktavaha Srothas. Madya is considered as alcohol it’s having qualities of Amla Usha laghu Tikshna, Sukshma, Vyavayi Ruksha Vikasi and Vishada. Madya vitiates Pitta as well as Rakta and that leads to Yakruth Vriddi. Rakta is one of the main Dushyas in Yakruth Vriddi. Diet and lifestyle are major factors that influence susceptibility to liver disorders. Alcohol use is quite common in India. According to recent data published by NHPI 74% of men and 48% of women are alcoholics. Alcohol disorders cover the spectrum of disorders beginning from the fatty liver, jaundice, hepatomegaly, ascites, and cirrhosis advanced and irreversible forms of liver injury related to the consumption of alcohol. There are three histopathological stages of alcoholic liver disease alcoholic fatty liver, alcoholic hepatitis, and, alcoholic cirrhosis. These alcoholic liver disorders’ pathogenesis can be understood in Ayurveda with the help of Kamala, Yakruth Vriddhi, Shchutha, and Ashchutha Yakruthodara. Hence an attempt is made to understand the etiopathogenesis of ALD w.s.r Yakruth Vriddi.
Auricular Acupuncture for Dental Anxiety: A Randomized Controlled Trial (2007)

Auricular acupuncture can be an effective treatment for acute anxiety, but there is a lack of direct comparisons of acupuncture to proven standard drug treatments. In this study we compared the efficacy of auricular acupuncture with intranasal midazolam, placebo acupuncture, and no treatment for reducing dental anxiety. Patients having dental extractions (n = 67) were randomized to (i) auricular acupuncture, (ii) placebo acupuncture, and (iii) intranasal midazolam and compared with a no treatment group. Anxiety was assessed before the interventions, at 30 min, and after the dental extraction. Physiological variables were assessed continuously. With the no treatment group as control, the auricular acupuncture group, and the midazolam group were significantly less anxious at 30 min as compared with patients in the placebo acupuncture group (Spielberger Stait-Trait Anxiety Inventory X1, P = 0.012 and <0.001, respectively). In addition, patient compliance assessed by the dentist was significantly improved if auricular acupuncture or application of intranasal midazolam had been performed (P = 0.032 and 0.049, respectively). In conclusion, both, auricular acupuncture and intranasal midazolam were similarly effective for the treatment of dental anxiety.
Query Expansion with Freebase (2015)

Large knowledge bases are being developed to describe entities, their attributes, and their relationships to other entities. Prior research mostly focuses on the construction of knowledge bases, while how to use them in information retrieval is still an open problem. This paper presents a simple and effective method of using one such knowledge base, Freebase, to improve query expansion, a classic and widely studied information retrieval task. It investigates two methods of identifying the entities associated with a query, and two methods of using those entities to perform query expansion. A supervised model combines information derived from Freebase descriptions and categories to select terms that are effective for query expansion. Experiments on the ClueWeb09 dataset with TREC Web Track queries demonstrate that these methods are almost 30% more effective than strong, state-of-the-art query expansion algorithms. In addition to improving average performance, some of these methods have better win/loss ratios than baseline algorithms, with 50% fewer queries damaged.
CNN and LSTM-Based Emotion Charting Using Physiological Signals (2020)

Novel trends in affective computing are based on reliable sources of physiological signals such as Electroencephalogram (EEG), Electrocardiogram (ECG), and Galvanic Skin Response (GSR). The use of these signals provides challenges of performance improvement within a broader set of emotion classes in a less constrained real-world environment. To overcome these challenges, we propose a computational framework of 2D Convolutional Neural Network (CNN) architecture for the arrangement of 14 channels of EEG, and a combination of Long Short-Term Memory (LSTM) and 1D-CNN architecture for ECG and GSR. Our approach is subject-independent and incorporates two publicly available datasets of DREAMER and AMIGOS with low-cost, wearable sensors to extract physiological signals suitable for real-world environments. The results outperform state-of-the-art approaches for classification into four classes, namely High Valence-High Arousal, High Valence-Low Arousal, Low Valence-High Arousal, and Low Valence-Low Arousal. Emotion elicitation average accuracy of 98.73% is achieved with ECG right-channel modality, 76.65% with EEG modality, and 63.67% with GSR modality for AMIGOS. The overall highest accuracy of 99.0% for the AMIGOS dataset and 90.8% for the DREAMER dataset is achieved with multi-modal fusion. A strong correlation between spectral- and hidden-layer feature analysis with classification performance suggests the efficacy of the proposed method for significant feature extraction and higher emotion elicitation performance to a broader context for less constrained environments.
Integrating and querying source code of programs working on a database (2012)

Programs and a database's schema contain complex data and control dependencies that make modifying the schema along with multiple portions of the source code difficult to change. In this paper, we address the problem of exploring and analyzing those dependencies that exist between a program and a database's schema using keyword search techniques inside a database management system (DBMS). As a result, we present QDPC, a novel system that allows the integration and flexible querying within a DBMS of source code and a database's schema. The integration focuses on obtaining the approximate matches that exist between source files (classes, function and variable names) and the database's schema (table names and column names), and then storing them in summarization tables inside a DBMS. These summarization tables are then analyzed with SQL queries to find matches that are related to a set of keywords provided by the user. It is possible to perform additional analysis of the discovered matches by computing aggregations over the obtained matches, and to perform sophisticated analysis by computing OLAP cubes. In our experiments, we show that we obtain an efficient integration and allow complex analysis of the dependencies inside the DBMS. Furthermore, we show that searching for data dependencies and building OLAP cubes can be obtained in an efficient manner. Our system opens up the possibility of using the keyword search for software engineering applications.
The therapeutic use of botulinum toxin (1997)

Since Alan Scott's research, botulinum toxin (BoNT) has been used in several diseases or conditions characterised by muscular overactivity. BoNT acts on either neuromuscular or autonomic cholinergic junctions. Seven different serotypes are known, with antigenic specificity and different therapeutic profiles. BoNT is made up of a heavy chain, involved in binding and membrane translocation, and a light chain, involved in blocking neuroexcytosis. Each serotype shares a specific acceptor on the presynaptic membrane of a cholinergic junction. The available BoNT preparations differ in toxicity, purity and stability. Injection of the neurotoxin produces several modifications at a neuromuscular junction. Axonal sprouting, muscular fibre atrophy, and new end-plates are the most evident histological events after BoNT treatment. They appear to be reversible in untreated muscles. Diffusion can occur at first by haematogeneous or local BoNT spread. Several factors, such as dose, volume, site of injection, muscle size, and muscular fascia, can influence the amount of diffusion and possible side-effects. After prolonged BoNT treatment patients can become unresponsive. Antibodies directed against BoNT have been observed with ELISA or mouse bioassay. Different serotypes have been used to treat non-responder patients. Novel toxins with lower immunogenicity and prolonged clinical efficacy are required for more effective treatment.
High Functionality Polyether Polyols Based on Polyglycerol (2010)

Polyglycerol (PGL) is a polyhydroxyl compound obtained by selfcondensation of glycerol in the presence of alkaline catalysts. It is a very attractive polyol as a starter for the synthesis of polyether polyols for rigid polyurethane foams. It is liquid, easy to handle and has a very high average functionality of 4—20 (or more) hydroxyl groups/mol. By propoxylation of PGL or PGL—sucrose mixtures, we obtained new polyether polyols with very high functionalities, which are very difficult or impossible to obtain by other methods. A new technology for PGL-based polyether polyols preparation was investigated. In the first step the self-polycondensation of glycerol to PGL in the presence of potassium hydroxide or potassium methoxide as a catalyst was carried out. In the second step, the crude alkaline PGL was alkoxylated with PO without removing the catalyst, followed by purification of the resulting polyether polyols. Rigid polyurethane foams prepared from the synthesized PGL-based polyether polyols and crude MDI displayed good physical and mechanical properties, excellent dimensional stability, and low friability.
Neuronal Activity Related to Reward Value and Motivation in Primate Frontal Cortex (2004)

In several areas of the macaque brain, neurons fire during delayed-response tasks at a rate determined by the value of the reward expected at the end of the trial. The activity of these neurons might be related to the value of the expected reward or to the degree of motivation induced by expectation of the reward. We describe results indicating that the nature of reward-dependent activity varies across areas. Neuronal activity in orbitofrontal cortex represents the value of the expected reward, whereas neuronal activity in premotor cortex reflects the degree of motivation.
SURFACE-EMITTING SEMICONDUCTOR LASER STRUCTURES FABRICATED BY MICROLITHOGRAPHY (1995)

Vertical cavity surface-emitting lasers are semiconductor microcavity lasers created by epitaxial growth and surface processing technologies which exploit new 3-dimensional architectures. The physical properties of these microcavities are intimately related to the geometry imposed on the semiconductor materials. The surface-emitting geometry is ideal for fabricating 2-dimensional laser structures by optical and electron beam lithography. These structures include large area, phase-locked arrays with shaped beams for higher power applications and 2-dimensional nanostructures such as photonic lattices for controlling microscopic optical properties. This paper reviews the basic physics of epitaxial surface-emitting laser cavities and recent technical advances in the microfabrication of 2-dimensional surface-emitting laser arrays and photonic lattices.
Increased expression and activation of matrix metalloproteinase-2 (MMP-2) in O-1N: hamster oral squamous cell carcinoma with high potential lymph node metastasis. (2006)

Oral squamous cell carcinoma (OSCC) is one of the most common head and neck cancers with poor clinical outcome. MMP-2 was implied to contribute to the invasiveness and metastatization of various malignancies because of the degradation of type IV collagen. In this experiment, ELISA, Western blot and Q-RT-PCR was performed to investigate the expression and activation of MMP-2 in serum and tumor from hamster oral cancer model with high lymph node metastasis based on the various stages of OSCC development. Active MMP-2 in the serum was found elevated during oral cancer progression. In the metastatic stage, total MMP-2 level was 46% higher than it in the expansive stage, while active MMP-2 level increased 6-fold than it in the expansive stage. MMP-2 serum activation ratio was significantly enhanced in the metastatic stage than before tumor transplantation and that in the expansive stage. MMP-2 protein and MMP-2 mRNA was found to be increased during oral cancer development in hamster models. The increase of MMP-2 expression and activation starts prior to the metastasis occurrence, indicating the important role of MMP-2 in the early phase of oral cancer progression. Active MMP-2 level in serum may be a useful indicator for monitoring oral cancer progression.
Open Reading Frame ssr2016 is Required for Antimycin A-sensitive Photosystem I-driven Cyclic Electron Flow in the Cyanobacterium Synechocystis sp. PCC 6803 (2005)

Open reading frame ssr2016 encodes a protein with substantial sequence similarities to PGR5 identified as a component of the antimycin A-sensitive ferredoxin:plastoquinone reductase (FQR) in PSI cyclic photophosphorylation in Arabidopsis thaliana. We studied cyclic electron flow in Synechocystis sp. PCC 6803 in vivo in ssr2016 deletion mutants generated either in a wild-type background or in a ndhB deletion mutant. Our results indicate that ssr2016 is required for FQR and that it operates in a parallel pathway to the NDH1 complex. The ssr2016 deletion mutants are high light sensitive, suggesting that FQR might be important in controlling redox poise under adverse conditions.
On generalized low-density parity-check codes based on Hamming component codes (1999)

In this paper we investigate a generalization of Gallager's (1963) low-density (LD) parity-check codes, where as component codes single error correcting Hamming codes are used instead of single error detecting parity-check codes. It is proved that there exist such generalized low-density (GLD) codes for which the minimum distance is growing linearly with the block length, and a lower bound of the minimum distance is given. We also study iterative decoding of GLD codes for the communication over an additive white Gaussian noise channel. The performance in terms of the bit error rate, obtained by computer simulations, is presented for GLD codes of different lengths.
AGSS-VOS: Attention Guided Single-Shot Video Object Segmentation (2019)

Most video object segmentation approaches process objects separately. This incurs high computational cost when multiple objects exist. In this paper, we propose AGSS-VOS to segment multiple objects in one feed-forward path via instance-agnostic and instance-specific modules. Information from the two modules is fused via an attention-guided decoder to simultaneously segment all object instances in one path. The whole framework is end-to-end trainable with instance IoU loss. Experimental results on Youtube- VOS and DAVIS-2017 dataset demonstrate that AGSS-VOS achieves competitive results in terms of both accuracy and efficiency.
Structural and Mechanistic Investigation of a Phosphate-Modified HZSM-5 Catalyst for Methanol Conversion (2006)

Phosphorus modification of a HZSM-5 (MFI) zeolite by wet impregnation has long been known to decrease aromatic formation in methanol conversion chemistry. We prepared and studied a catalyst modified by introducing trimethylphosphine under reaction conditions followed by oxidation. Magic-angle spinning (MAS) NMR shows that extensive dealumination occurs, resulting in a catalyst with a much higher framework SiO2/Al2O3 ratio, as well as extraframework aluminum and approximately 1.4 equiv of entrained phosphoric acid (under working conditions) per aluminum. Upon dehydration or regeneration, the phosphoric acid is converted, reversibly, to entrained P4O10. The aromatic selectivity of the modified catalyst is significantly lower than that of an unmodified zeolite with a similar, increased framework SiO2/Al2O3 ratio. By comparing the rates of H/D exchange in propene under conditions similar to those in methanol conversion chemistry, we determined that the acid site strength is indistinguishable on modified and unmodified zeolites, and this is consistent with theoretical modeling. On the phosphorus-modified zeolite, the rate of propene oligomerization is greatly suppressed, suggesting that entrained phosphate is an impediment to sterically demanding reactions.
Fabrication and microwave absorption of carbon nanotubes∕CoFe2O4 spinel nanocomposite (2006)

A large-scale carbon nanotube∕CoFe2O4 (CNTs∕CoFe2O4) spinel nanocomposite has been fabricated by a chemical vapor deposition method using CoFe2O4 nanoparticles as catalysts. A uniform mixture of CNTs and CoFe2O4 nanoparticles was obtained simultaneously. The structure and chemical composition of the product were investigated using various techniques, such as x-ray diffraction, high-resolution transmission electron microscopy, and electron energy loss spectroscopy. It was found that the particles functionalized on CNTs were cubic phase CoFe2O4. Microwave absorption of the CNT∕CoFe2O4 nanocomposites at 2–18 GHz is evidently enhanced, as compared with that of both pure CNTs and CoFe2O4 nanoparticles. The enhancement mechanism is discussed based on magnetization hysteresis loop measurement and electromagnetic theory.
Synthesis and Investigation of Tetrahydro-β-carboline Derivatives as Inhibitors of the Breast Cancer Resistance Protein (ABCG2) (2016)

The breast cancer resistance protein (ABCG2) transports chemotherapeutic drugs out of cells, which makes it a major player in mediating multidrug resistance (MDR) of cancer cells. To overcome this mechanism, inhibitors of ABCG2 can be used. Only a few potent and selective ABCG2 inhibitors have been discovered, i.e., fumitremorgin C (FTC), Ko143, and the alkaloid harmine, which contain a tetrahydro-β-carboline or β-carboline backbone, respectively. However, toxicity and or instability prevent their use in vivo. Therefore, there is a need for further potent inhibitors. We synthesized and pharmacologically investigated 37 tetrahydro-β-carboline derivatives. The inhibitory activity of two compounds (51, 52) is comparable to that of Ko143, and they are selective for ABCG2 over ABCB1. Furthermore, they are able to reverse the ABCG2-mediated resistance toward SN-38 and inhibit the ATPase activity. The cytotoxicity data show that their inhibitory effect is substantially higher than their toxicity.