jimnoneill/paper-to-field-training huggingface dataset:
Antimicrobial Effect of Passiflora foetida Leaf Extract

Field: Pharmacology, Toxicology and Pharmaceutics (Life Sciences)

Antimicrobial resistance (AMR) is a critical global health concern under the present clinical scenario due to the overuse and misuse of antibiotics in both medical and agricultural sectors. Passiflora foetida, commonly known as wild maracuja or stinking passion flower belongs to the Passifloraceae family and is native to tropical and subtropical regions of Asia, Africa, Australia, and America. In this study, we aimed to explore the potential antimicrobial efficacy of Passiflora foetida leaf extract against both MDR bacteria and American Type Culture Collection (ATCC) strains for possible combating microbial infections in the future. The MIC value of Passiflora foetida extract varied between 5-10 mg/ml in different ATCC and MDR bacteria studied in this experiment. Passiflora foetida is also well known in traditional medicine indicating a degree of safety and efficacy, although modern scientific validation is necessary to support its therapeutic applications. Future research should focus on identifying the specific bioactive agent responsible for its antimicrobial effects, optimizing extraction methods to maximize bioavailability, and evaluating its safety and efficacy in animal models and clinical trials. Understanding the antimicrobial properties of Passiflora foetida is crucial for developing effective therapeutic strategies against antibiotic-resistant infections. By harnessing the natural antimicrobial potential of this plant, researchers may uncover new treatment options to combat AMR and improve patient outcomes. The findings of this study indicated its possible use as a topical application at present till further study with refined extract may reveal its application in vivo in different diseases with MDR microorganisms.
The Current Trends of Deep Learning in Autonomous Vehicles: A Review

Field: Computer Science (Physical Sciences)

Autonomous vehicles are the future of road traffic.In addition to improving safety and efficiency from reduced errors compared to conventional vehicles, autonomous vehicles can also be implemented in applications that may be inconvenient or dangerous to a human driver.To realize this vision, seven essential technologies need to be evolved and refined including path planning, computer vision, sensor fusion, data security, fault diagnosis, control, and lastly, communication and networking.The contributions and the novelty of this paper are: 1) provide a comprehensive review of the recent advances in using deep learning for autonomous vehicle research, 2) offer insights into several important aspects of this emerging area, and 3) identify five directions for future research.To the best of our knowledge, there is no previous work that provides similar reviews for autonomous vehicle design.
Illuminant Conversion Using Iterative Variation Method

Field: Computer Science (Physical Sciences)

In recent years, the rapid development of the Internet has allowed people at home to access large amounts of image data stored on web servers throughout the world. Significant value can be added by estimating the illuminant at the time of acquisition, and convert to the image under a desired illuminant source. There have been studies about illuminant estimation. All of these algorithms perform illuminant estimation in an original image. This paper stands on a slight different point of view from these existing studies. The purpose of the study is to obtain an image illuminated by a desired one. In the proposed algorithm, the conversion is performed from an image whose illuminant is unknown to the image whose illuminant is the desired one. In the conversion process, the illuminant estimation is performed relative to the desired one, and the problem dimensions are reduced.The problem is formulated by an optimization problem framework of a cost function and some constraints and for the solution, a variation method is applied iterative.
Proceedings of the 2015 ACM International Symposium on Symbolic and Algebraic Computation

Field: Computer Science (Physical Sciences)

The 2015 International Symposium on Symbolic and Algebraic Computation (ISSAC 2015) is the premier conference for research in symbolic computation and computer algebra. ISSAC 2015, held at the University of Bath, U.K., is the 40th meeting in the series, which began in 1966 with the seminal ACM Symposium on Symbolic and Algebraic Manipulation. ISSAC 2015 is sponsored by the Association for Computing Machinery (ACM), in particular, the ACM Special Interest Group in Symbolic and Algebraic Manipulation (SIGSAM). The meeting is also supported by donations from the London Mathematical Society (LMS) and Maplesoft. As a scientific satellite event, the workshop Parallel Symbolic Computation (PASCO) was held in Bath immediately following ISSAC 2015. The ISSAC conference is a showcase for original research contributions on all aspects of computer algebra and symbolic mathematical computation, including: Algorithmic aspects: Exact and symbolic linear, polynomial and differential algebraSymbolic-numeric, homotopy, perturbation and series methodsComputational algebraic geometry, group theory and number theoryComputer arithmeticSummation, recurrence equations, integration, solution of ODEs and PDEsSymbolic methods in other areas of pure and applied mathematicsComplexity of algebraic algorithms and algebraic complexity Software aspects: Design of symbolic computation packages and systemsLanguage design and type systems for symbolic computationData representationConsideration for modern hardwareAlgorithm implementation and performance tuningMathematical user interfaces Application aspects: Applications that stretch the current limits of computer algebra algorithms or systems, use computer algebra in new areas or new ways, or apply it in situations with broad impact. The program of ISSAC 2015 features invited talks, tutorials, contributed research presentations, a poster session and a software exhibits session. These Proceedings contain all accepted contributed papers, as well as abstracts of the invited talks and tutorials. The ISSAC Program Committee selected 43 papers appearing in these Proceedings. All papers submitted to ISSAC 2015 were judged, and accepted or rejected, solely according to their scientific novelty and excellence. Each submitted paper was assigned to three members of the Program Committee, and two or more referee reports were obtained for each submission. We gratefully acknowledge the thorough and important work of the Program Committee Members and external reviewers, whose names appear on the following pages, and thank all the authors and lecturers for their contribution.
Rescue of white egg 1 mutant by introduction of the wildtype Bombyx kynurenine 3-monooxygenase gene

Field: Biochemistry, Genetics and Molecular Biology (Life Sciences)

在蚕，白鸡蛋 1 (w-1 ) 异种，被白眼睛和白鸡蛋描绘，在 Bombyx kynurenine 3-monooxygenase (KMO ) 是缺乏的活动。Toinvestigate w-1 异种显型是否被介绍野类型的 KMO 基因救，我们在细胞质的肌动朊基因倡导者(A3KMO ) 或本国的 KMO 基因倡导者(KKMO ) 的控制下面与野类型的 Bombyx KMO 基因构造了转基因的蚕。我们与 KKMO 构造与 A3KMO 和一根线创造了二根转基因的线。在这些线的成年人的眼睛是棕色的，并且转基因的女性生的鸡蛋也是棕色的。Reversetranscription 聚合酶链反应(RT-PCR ) 分析证明 A3KMO 蚕线在中间勇气的、胖身体表示了抄本，并且肾小体小管。KKMO 线仅仅在胖身体表示了抄本并且肾小体小管。在转基因的线的眼睛和卵色的紧张与 KMO 表示水平成正比。有趣地，有 A3KMO 构造的转基因的幼虫有轻褐幼虫的表皮，而是 KKMO 线不。这些结果显示野类型的 KMO 基因能作为标记基因被使用视觉上屏蔽转基因的蚕。
Situational and emotional influences on the acceptability of wolf management actions in the Greater Yellowstone Ecosystem

Field: Social Sciences (Social Sciences)

Abstract Emotions play a key role in our experiences with and our responses to wildlife. We examined the effectiveness of situational and emotional variables in predicting acceptability of management actions for wolves ( Canis lupus ) in the Greater Yellowstone Ecosystem, USA. We advanced 3 hypotheses: 1) both situational and emotional variables will influence acceptability ratings; 2) emotions will explain the largest proportion of variance for the lethal management action; and 3) this pattern of findings will be the same for residents and visitors of the Greater Yellowstone Ecosystem. We obtained our data from a survey of residents living near Jackson, Wyoming ( n = 604, response rate = 51%) and a survey of visitors to Grand Teton National Park ( n = 596, response rate = 81%). We included 2 situational variables (i.e., location of encounter, wolf status) and 3 emotional variables (i.e., sympathy for ranchers, sympathy for wolves, anger about wolves) as independent variables. The dependent variables were acceptability ratings of non‐lethal and lethal management actions. Regression analyses supported all 3 hypotheses. For both groups, situational variables accounted for between 1% and 8% of the variance in acceptability of non‐lethal management actions, while emotions explained between 3% and 20%. For the lethal management action, situational variables predicted between 3% and 5% of the variance in acceptability ratings, while emotions accounted for between 41% and 49%. Although debates regarding the status of wolves are likely to continue, these findings highlight the role emotion plays in evaluating the acceptability of management actions. © 2013 The Wildlife Society.
PENGARUH DINING ATMOSPHERICS TERHADAP PERCEIVED VALUE, ATTITUDE TOWARDS IMPULSE BUYING DAN BEHAVIORAL INTENTION TOWARDS IMPULSE BUYING

Field: Business, Management and Accounting (Social Sciences)

Pengaruh Dining Atmospherics Terhadap Perceived Value, Attitude Towards Impulse Buying, dan Behavioral Intention Towards Impulse Buying (Studi Pada Restoran Double Decker Solo Baru) Rizky Ayu Khoiriyana NIM: S411508005 Penelitian ini mempunyai tujuan untuk mengetahui pengaruh Dining Atmospherics, Perceived Value, Attitude Towards Impulse Buying, dan Behavioral Intention towards Impulse Buying di Restoran Double Decker Solo Baru. Metode pengumpulan data pada penelitian ini menggunakan metode Personally Administrated Questionnaires, yaitu peneliti menyampaikan kuesioner kepada responden dan mengambil kuesioner dengan tujuan agar tingkat pengembalian kuesioner terjaga dalam periode waktu relative pendek. Dengan teknik pengambilan sampel sebanyak 150 responden yaitu konsumen dari Restoran Double Decker Solo Baru yang berkunjung sebanyak satu kali dan berniat untuk melakukan kunjungan selanjutnya. Uji yang dilakukan adalah uji normalitas dan uji reliabilitas, dan menggunakan Structural Equation Model (SEM) yang dibantu dengan program aplikasi AMOS. Hasil penelitian menunjukan bahwa variabel independen yaitu Behavioral Intention towards Impulse Buying mempunyai pengaruh signifikan positif terhadap variabel dependen yaitu Dining Atmospherics, dan variabel dependen yaitu Dining Atmospherics dan Perceived Value juga mempunyai pengaruh signifikan positif terhadap variabel pemediasi yaitu Attitude Towards Impulse Buying, kemudian Variabel pemediasi Attitude Towards Impulse Buying juga mempunyai pengaruh signifikan positif dengan variabel independen yaitu Behavioral Intention Towards Impulse Buying. Kata Kunci: Dining Atmospherics, Perceived Value, Attitude Towards Impulse Buying, Behavioral Intention towards Impulse Buying
Enamine Catalysis with Low Catalyst Loadings - High Efficiency via Kinetic Studies

Field: Chemistry (Physical Sciences)

Kinetic studies on enamine catalysis provided insight into the rate determining step(s) of peptide catalyzed conjugate addition reactions between aldehydes and nitroolefins. They demonstrate that not enamine formation but both the reaction of the enamine with the electrophile and hydrolysis of the resulting imine are rate limiting. These results allowed for reducing the catalyst loading by a factor of 10 to as little as 0.1 mol %. This is the lowest catalyst loading that has been achieved so far in enamine catalysis with low molecular weight catalysts for a broad range of substrates.
Insulin Dominantly SuppressesHepatitis B Virus Gene Expressionin Cultured Human Hepatoma Cells

Field: Biochemistry, Genetics and Molecular Biology (Life Sciences)

We have shown previously that insulin suppresses the expression of hepatitis B surface antigen (HBsAg) gene from an endogenous integrated viral genome in cultured human hepatoma Hep3B cells. In this study, we demonstrated that insulin suppresses the viral mRNA transcribed from transiently transfected tandem repeat hepatitis B virus (HBV) dimer DNA or DNA fragment that contains only the major HBsAg gene. Insulin treatment also resulted in a decrease in HBY viral particles produced by the HBV-DNA-transfected cells in a dose-dependent manner. Furthermore, when insulin was simultaneously added with glucocorticoid, which stimulates HBY gene expression, the stimulatory effect of glucocorticoid was completely abolished. Our results suggest that insulin has a dominant negative effect on the HBV gene expression in cultured human liver cells.
MANANA (I Morgen)

Field: Arts and Humanities (Social Sciences)

Performer: Teddy Petersen og hans Orkester; RAQUEL RASTENNI Writer: Dave Barbour; Sven Rye Samba m. Sang; Musik:; d. Tekst:; Sang:. Digitized at 78 revolutions per minute. Four stylii were used to transfer this record. They are 3.5mil truncated eliptical, 2.3mil truncated conical, 2.8mil truncated conical, 3.3mil truncated conical. These were recorded flat and then also equalized with Turnover: 375.0, Rolloff: -12.0. The preferred versions suggested by an audio engineer at George Blood, L.P. have been copied to have the more friendly filenames. Matrix number: HDK 2655 Catalog number: X 51265 B Other IDs from the record include: 2655 hdk.
Strategies to Overcome Constraints for Small Business Sustainability

Field: Business, Management and Accounting (Social Sciences)

More than 20% of small businesses that started in March 2018 failed within a year. Small business owners would benefit from strategies to identify and mitigate constraints from inception for business survival because business failure rates are higher among small businesses less than five years old. Grounded in the theory of constraints, the purpose of this qualitative multiple case study was to explore strategies small business owners use to sustain beyond the one year of operation. The participants included six small business owners in Georgia who successfully sustained their business beyond five years. Data were collected using semistructured interviews and analyzed using Yin's five-step data analysis approach. Three themes emerged: improving operational effectiveness, addressing marketing derivatives, and enhancing leadership competency. Key recommendations for new small business owners are utilizing bootstrapping techniques, offering customer-driven products and services, improving business networking, and strengthening leadership training. The implication for positive social change includes the potential for local people’s employment opportunities through business growth, leading to decreased poverty and improved living standards.
Analytics in online and offline language learning environments: the role of learning design to understand student online engagement

Field: Social Sciences (Social Sciences)

Language education has a rich history of research and scholarship focusing on the effectiveness of learning activities and the impact these have on student behaviour and outcomes. One of the basic assumptions in foreign language pedagogy and CALL in particular is that learners want to be able to communicate effectively with native speakers of their chosen language. Combining principles of learning analytics and Big Data with learning design, this study used a student activity based taxonomy adopted by the Open University UK to inform module design. The learning designs of four introductory and intermediary language education modules and online engagement of 2111 learners were contrasted using weekly learning design data. In this study, we aimed to explore how learning design decisions made by language teachers influenced students' engagement in the VLE. Using fixed effect models, our findings indicated that 55% of variance of weekly online engagement in these four modules was explained by the way language teachers designed weekly learning design activities. Our learning analytics study highlights the potential affordances for CALL researchers to use the power of learning design and big data to explore and understand the complexities and dynamics of language learning for students and teachers.
The Author’s Reply

Field: Medicine (Health Sciences)

The Author’s Reply Get access Christopher D. Hillyer, MD, FACP Christopher D. Hillyer, MD, FACP Emory University Hospital Blood Bank Atlanta, Georgia Search for other works by this author on: Oxford Academic Google Scholar American Journal of Clinical Pathology, Volume 103, Issue 3, 1 March 1995, Pages 374–375, https://doi.org/10.1093/ajcp/103.3.374a Published: 01 March 1995
Faculty Opinions recommendation of Computational design of chemogenetic and optogenetic split proteins.

Field: Computer Science (Physical Sciences)

Controlling protein activity with chemogenetics and optogenetics has proven to be powerful for testing hypotheses regarding protein function in rapid biological processes. Controlling proteins by splitting them and then rescuing their activity through inducible reassembly offers great potential to control diverse protein activities. Building split proteins has been difficult due to spontaneous assembly, difficulty in identifying appropriate split sites, and inefficient induction of effective reassembly. Here we present an automated approach to design effective split proteins regulated by a ligand or by light (SPELL). We develop a scoring function together with an engineered domain to enable reassembly of protein halves with high efficiency and with reduced spontaneous assembly. We demonstrate SPELL by applying it to proteins of various shapes and sizes in living cells. The SPELL server (spell.dokhlab.org) offers an automated prediction of split sites. PMID: 30279442 Funding information This work was supported by: NIGMS NIH HHS, United States Grant ID: R01 GM123247 NIGMS NIH HHS, United States Grant ID: R01 GM064803 NIGMS NIH HHS, United States Grant ID: R35 GM122596 NCI NIH HHS, United States Grant ID: R01 CA175747 NIBIB NIH HHS, United States Grant ID: P41 EB002025 NIGMS NIH HHS, United States Grant ID: R01 GM114015 More Less keyboard_arrow_down
Sound objects – Auditory objects – Musical objects

Field: Neuroscience (Life Sciences)

The auditory system transforms patterns of sound energy into perceptual objects but the precise definition of an ‘auditory object’ is much debated. In the context of music listening, Pierre Schaeffer argued that ‘sound objects’ are the fundamental perceptual units in ‘musical objects’. In this paper, I review recent neurocognitive research suggesting that the auditory system is sensitive to structural information about real-world objects. Instead of focusing solely on perceptual sound features as determinants of auditory objects, I propose that real-world object properties are inherent in the organization of the auditory system and as such in music perception as well.
LINGUISTIC REGISTER OF FOREIGN LANGUAGE INSTRUCTION

Field: Arts and Humanities (Social Sciences)

In an attempt to establish systematic characteristics and patterning of the language variety used by foreign language teachers in talking to their students, an experiment was designed to isolate significant features of this linguistic register from the speech of eight native speakers of Czech addressing a group of Stanford students who were studying Czech as a foreign language. It was found that a Foreign Language Classroom Register is a linguistic subsystem that can be defined (1) by rules of linguistic simplification similar to those of the Foreigner Talk and Baby Talk Registers, and (2) by constraints imposed by the social setting, which is the norm of the standard language used in a classroom communication.
The implementation of PI controller for evaporative cooling system in controlled environment greenhouse

Field: Engineering (Physical Sciences)

This paper presents the development and a real-time implementation of controlled environment greenhouse by using a proportional plus integral (PI) controller based on the microcontroller STM32 and wireless sensor network by using MATLAB/Simulink program to control temperature and humidity. The modelling of the greenhouse is done by using a System Identification toolbox in MATLAB which is identified approximated to be a first order plus dead time system (FOPDT). The PI controller is designed based on Cohen-Coon tuning algorithm. The temperature and humidity sensors are connected with FiO Glide boards to send data to the micro-controller STM32F4 with radio frequencies to control temperature and humidity appropriately by using the PI algorithm and send signals for control the fan and fog sprayer. The size of greenhouse is 2×3×2 meters. The experimental results show that, the PI controller base on microcontroller STM32 can be controlled the inside temperature is lower than the outside temperature of 4 degrees Celsius. And the environment of greenhouse system has improved significantly.
Fluorescence-microscopic measurement of intracellular cytochrome P-450 enzyme activity (ethoxyresorufin O-de-ethylation) in unfixed liver section

Field: Biochemistry, Genetics and Molecular Biology (Life Sciences)

A fluorescence-microscopic method has been developed for measurement of the intracellular kinetics of the cytochrome P-450 reaction, ethoxyresorufin O-de-ethylation, in individual hepatocytes in unfixed non-frozen liver sections obtained from control or 3-methylcholanthrene-pretreated mice. De-ethylation was enhanced in the presence of salicylamide, but inhibited in the presence of α-naphthoflavone, A total of 21 reaction rate curves (fluorescence of the metabolite, resorufin, versus time) were constructed for different individual hepatocytes and groups of two or three hepatocytes, in a total of 12 sections from four control and eight 3-methylcholanthrene-induced mice. No two reaction curves were identical, but the curves were classified, by similarity of curve shape and fluorescence intensity, into three control categories and four 3-methylcholanthrene-induced categories. It was considered that the data represented a total of seven types of hepatocytes, which differed in their ethoxyresorufin de-ethylase reaction characteristics. Hepatocytes in the sections from 3-methylcholanthrene-pretreated mice showed higher de-ethylase activities than the hepatocytes from control mice, but the increase in activity covered a wide range of values, from 3-fold to 17-fold higher than the mean control value, suggesting that 3-methylcholanthrene did not induce ethoxyresorufin de-ethylation to the same extent in all hepatocytes.
Factorization of joint probability mass functions into parity check interactions

Field: Mathematics (Physical Sciences)

Abstract—We show that any joint probability mass function (PMF) can be expressed as a product of parity check factors and factors of degree one, if the alphabet size is appropriate for defining a parity check equation. In other words, marginalization or maximization of a joint PMF is equivalent to a decoding task as long as a finite field can be constructed over the alphabet of the PMF. In factor graph terminology this claim means that a factor graph representing such a joint PMF always has an equivalent Tanner graph. We provide a systematic method based on the Hilbert space of PMFs and orthogonal projections for obtaining this factorization. I.