jimnoneill/paper-to-field-training huggingface dataset:
Regime equations development for the design of Egyptian sandy canals

Field: Engineering (Physical Sciences)

Abstract The construction of the High Aswan Dam in Egypt led to reducing the solids suspension in water from more than 3,500 p.p.m. to less than 100 p.p.m. As the regime of Egyptian canals has been changed completely after the construction of the High Aswan Dam, the previous derived equations are not applicable any more, and using them leads to a shortage in the carrying capacity of the canals. In the current study, extensive field measurements have been carried out on 15 stable Egyptian canals, which cover various discharges of irrigation canals with sandy soils starting from 5 m3/s to 50 m3/s and d50 ranging from 0.196 to 0.538 mm. Then, applicable regime relationships for designing stable sandy channels were determined. The new equations are useful for designing new stable canals and redesigning unstable canals within the same range. The new regime equations were verified by using the HEC- RAS program. Finally, sensitivity analysis has been performed in order to investigate the effect of changing the deduced parameters on the discharge.
What Happens to Public Service Delivery under a Weak Civil Society? Evidence from India

Field: Social Sciences (Social Sciences)

This paper argues the performance of public service delivery under weak civil society. Drawing on information from the world largest workfare programme, the National Rural Employment Guarantee Act (NREGA), it is argued that in the north Indian state of Uttar Pradesh (UP) benefits of NREGA hardly reaches the poor. This is due to the presence of weak civil society organisations (CSOs), which is riddled with corruption and factionalism, and operates at the cost of social expense. The ruling elites who hold the key to these institutions have made it difficult for citizens to voice their concerns and negotiate their entitlements.
Application of Wireless Location Technology in Advertising

Field: Business, Management and Accounting (Social Sciences)

Recently, more and more companies are using wireless location technology to improve advertising effectiveness, such as location-targeted advertising. Location-targeted advertising involves the provision of ad messages to cellular subscribers based on their geographic locations. Location-targeted advertising opens up an innovative conduit to deliver ads and coupons that are customized to an individual’s tastes, geographical location, and time of day. Although location-targeted advertising seemingly offers practitioners tremendous potential given the ubiquitous nature of mobile devices, we know very little about it. This paper summarizes up-to-date research findings of location-targeted advertising, and makes managerial implications of how to use this technology efficiently.
LHD Langmuir #140719.1

Field: Physics and Astronomy (Physical Sciences)

Langmuir probes on divertor plates to investigate divertor plasma parameters and fluctuation characteristics of ion flux near the divertor plates. Total 400 Langmuir probes embedded on 20 divertor plates on each of which 20 electrodes are aligned every 6 mm. Sweeping and sampling frequency is normally 250 kHz.
Structured Review of Dichotic Tests of Binaural Integration: Clinical Performance in Children

Field: Health Professions (Health Sciences)

Purpose The aim of the study was to evaluate the evidence of clinical utility for dichotic speech tests of binaural integration used to assess auditory processing in English-speaking children 6–14 years old. Method Dichotic speech test recordings and pertinent research studies were identified from iterative searches of the Internet and bibliographic databases, as well as communication with colleagues and test publishers. Test documentation and peer-reviewed literature were evaluated for evidence of reliability, accuracy, usefulness, and value. Results Eleven dichotic tests of binaural integration were identified for children. Evidence of test–retest reliability was found for 5 tests and demonstrated moderate to good correlation between results on repeated administration ( r = .59–.92). Evidence of accuracy was identified for 5 tests but was either inconsistent with accurate performance or was not generalizable due to significant limitations in study design. No evidence was found to either support or dispute claims of usefulness or value. Conclusions A medical diagnostic framework is useful for evaluating dichotic tests. Although dichotic procedures show moderate reliability, the absence of a widely accepted gold standard reference test limits our ability to assess their value. Overall, the data available at the time of this review do not support the routine use of dichotic tests of binaural integration for clinical evaluation of children.
Preliminary Study of Object Recognition by Converting Physical Responses to Images in Two Dimensions

Field: Computer Science (Physical Sciences)

The use of robots is desired as a replacement for human labor. However, it is difficult for robots to respond flexibly to changes in objects and environments and perform tasks. Recently, many systems have been proposed that can flexibly respond to changes by generating robot motions using machine learning. Many machine learning methods use a camera to acquire environmental information, and feature extraction is performed using images acquired from the camera using CNN (Convolutional Neural Network), CAE (Convolutional Auto Encoder), or other methods. Many methods estimate the input values in the next step by inputting the image features, position data and reaction force data acquired from the robot together into the RNN (Recurrent Neural Network), etc. However, in most cases, the relationship between the image and robot data is learned without explicitly stating it. Therefore, in this paper, the data acquired from the robot is converted to images and used in combination with images from the camera to make the interaction between the robot and the environment explicit and to improve the estimation accuracy of NNs. In simulations, the proposed method was used to perform the task of discriminating the target of motion, and the high estimation accuracy was confirmed. In the future, we plan to use this method as input data for motion generation to generate motion according to the object.
[Decreased resistance of multiresistant mycobacteria to isoniazid during the treatment of experimental tuberculosis with ozone and isoniazid].

Field: Pharmacology, Toxicology and Pharmaceutics (Life Sciences)

Mycobacteria (MB) of the clinical strain resistant to streptomycin, isoniazid (IN), rifampicin and kanamycin were injected intravenously into 68 BALB/c mice. The animals were divided into 5 groups: two control groups 0 and 1 (intact and infected without subsequent treatment), group 2 (treated with IN), group 3 (treated with IN and injected intraperitoneally with dissolved ozone, or dO3), group 4 (injected with dO3). The animals started to die by month 4 after the infection. By month 5 all mice died with the exception of intact mice and those treated with dO3). By month 4 the study of MB cultures isolated from the lungs revealed a decrease in their resistance to IN in the groups undergoing treatment with dO3. Hepatic and splenic lesions were observed after treatment with IN only were greater than in the absence of treatment. After the use of IN + dO3 such lesions were the least. The mechanism of a decrease in the medicinal resistance of MB under the action of dO3 and the expediency of the simultaneous use IN and dO3 in cases of the unknown medicinal resistance of MB are discussed.
Assessing Factors Influencing Female Entrepreneurship Intentions and Behaviour

Field: Business, Management and Accounting (Social Sciences)

There has been an increasing level of interest in female entrepreneurship across the world in recent times. Female entrepreneurship represents a significant aspect of economic growth, particularly in developing countries, leading to job opportunities, socio-economic growth, prospects of innovation, poverty reduction, etc. Nevertheless, despite the growing awareness of its prominence, the research in this area has received limited attention in the entrepreneurship literature. While traditional cultural norms have been inclined to hinder Saudi women’s engagement in entrepreneurship, this country has seen several successful female entrepreneurs. However, although the Saudi government is creating more programmes to encourage women to become entrepreneurs, only a few have taken advantage of this initiative. Moreover, only a limited number of research studies have analysed the impact of the key factors influencing female entrepreneurs’ intention to start their own ventures. Therefore, the purpose of this research is to identify the constructs that affect Saudi female students’ intentions to start a new business after professional degree programmes. The paper proposes an integrated model of the theory of planned behaviour and an entrepreneurship event model, validated with data collected from one of the larger Saudi public universities.
LITERATURE REVIEW FOR INITIAL STAGE DISEASE IDENTIFICATION OF TOMATO LEAF BY DIFFERENT DEEP LEARNING ALGORITHMS

Field: Computer Science (Physical Sciences)

The tomato is vegetable crop that grows profusely in Indian agricultural areas.While the tropical climate of India is ideal in tomato plant growth, a variety of other factors, such as particular climatic conditions, also play a role in normal tomato plant growth.The weather patterns and natural disasters, plant diseases are a main source of financial loss and a serious danger to agricultural output.The effects of the conventional disease detection techniques for tomato crops were uns1a1tisfactory, and the time it took to find infections was long.Earlier sickness identification will provide better results than the methods used now.Computer vision-based deep learning technics might be used to diagnose illnesses early on.The techniques for disease identification and classification recommended in leaf disease identification.
Association between preterm delivery and the risk of maternal renal disease: A systematic review and meta‑analysis

Field: Medicine (Health Sciences)

The present systematic review and meta-analysis aimed to generate high-quality evidence on the association between preterm delivery (PTD) and subsequent risk of renal disease in the mother. A literature search was conducted on PubMed, Embase, CENTRAL and Scopus until the 15th of May 2023 for studies reporting an adjusted association between PTD and the risk of maternal renal disease. A total of seven studies were eligible. The pooled analysis found that women with PTD had a statistically significant increased risk of chronic kidney disease in the long term [hazard ratio (HR): 1.82 95% confidence interval (CI): 1.38, 2.40; I2=85%]. Similarly, the meta-analysis also found a statistically significant increased risk of end-stage renal disease (ESRD) amongst women with PTD as compared with those without PTD (HR: 2.22 95% CI: 1.95, 2.53; I2=0%). Overall, the pooled analysis showed a significantly higher incidence of renal disorders with PTD (HR: 1.98; 95% CI: 1.57, 2.50; I2=88%). The results were unchanged on sensitivity analysis. Women with PTD could be at increased risk of future chronic kidney disease and ESRD. The small number of studies and retrospective nature of data are important limitations. Further studies are needed to supplement the available evidence.
Dissociative Symptoms Secondary to Piracetam: A Case Report

Field: Medicine (Health Sciences)

Piracetam is a cyclic derivative of gamma-aminobutyric acid that is often used in neurology. Piracetam is an antithrombotic, neuroprotective agent which improves cognitive performance. Piracetam is indicated for vertigo in clinical practice. The etiology of dissociation is not precisely defined. In pharmacotherapy studies, depersonalization is the basic dissociative symptom. In this article, we have reported a case with the diagnosis of peripheral vertigo where piracetam was used as part of combination therapy. However dissociative symptoms like depersonalization and derealization occurred after piracetam use and these symptoms disappeared after discontinuation of piracetam. Pirasetam kullanımı sonrası gelişen dissosiyatif belirtiler: Bir olgu sunumu Pirasetam nöroloji pratiğinde sık kullanılan gama-aminobütirik asit türevi bir ilaçtır. Pirasetamın antitrombotik, nöroprotektif ve bilişsel işlevleri düzeltici bir özellikleri vardır. Vertigo pirasetamın kullanım endikasyonlarından biridir. Disosiyasyonun etyolojisi tam olarak aydınlatılamamıştır. Yapılan ilaç çalışmalarında ortaya çıkan temel disosiyatif semptom depersonalizasyondur. Bu yazıda periferik vertigo tanısı alan ve ekleme tedavisi olarak pirasetam eklenmiş ancak kullanımından hemen sonra depersonalizasyon ve derealizasyon gibi disosiyatif semptomlar gelişen ve pirasetamın kesilmesinden sonra bu şikâyetlerin kaybolduğu bir olgu sunumu yapılmıştır.
Problems Related to the Use of the Category of Magic in the Writing of Greek and Roman History

Field: Arts and Humanities (Social Sciences)

The study of ancient magic is complicated by the fact that most of ancient Greek and Latin terms usually translated by “magic” or “magical” were used in different and contradictory ways. Approaches trying to reconcile rather than expose these different meanings can be divided in two large groups: the so-called essentialist approach, exemplified here by the work of H.S. Versnel and the sociological approach, represented here by the work of P. Bourdieu. Against these two approaches, it has also been argued that the modern term “magic” should be abandoned. Against this last position, I will first repeat – as Versnel and others already did – that we cannot represent alien (i.e. foreign or ancient) categories of thought without using our own categories. Finally, I will present Versnel’s methodology, its problems, and the solution that Bourdieu’s notion of the religious field can provide. While not without problems, it gives an idea of what could be gained by tinkering with common-sense notions rather than assuming that their definitions are self-evident.
Gestalt grouping via closure degrades suprathreshold depth percepts

Field: Neuroscience (Life Sciences)

It is well known that the perception of depth is susceptible to changes in configuration. For example, stereoscopic precision for a pair of vertical lines can be dramatically reduced when these lines are connected to form a closed object. Here, we extend this paradigm to suprathreshold estimates of perceived depth. Using a touch-sensor, observers made quantitative estimates of depth between a vertical line pair presented in isolation or as edges of a closed rectangular object with different figural interpretations. First, we show that the amount of depth estimated within a closed rectangular object is consistently reduced relative to the vertical edges presented in isolation or when they form the edges of two segmented objects. We then demonstrate that the reduction in perceived depth for closed objects is modulated by manipulations that influence perceived closure of the central figure. Depth percepts were most disrupted when the horizontal connectors and vertical lines matched in color. Perceived depth increased slightly when the connectors had opposite contrast polarity, but increased dramatically when flankers were added. Thus, as grouping cues were added to counter the interpretation of a closed object, the depth degradation effect was systematically eliminated. The configurations tested here rule out explanations based on early, local interactions such as inhibition or cue conflict; instead, our results provide strong evidence of the impact of Gestalt grouping, via closure, on depth magnitude percepts from stereopsis.
A Dynamical Systems Perspective to Characterize the El Niño Diversity in Spatiotemporal Patterns

Field: Earth and Planetary Sciences (Physical Sciences)

El Niño is the long-lasting anomalous warming of sea surface temperature (SST) and surface air temperature (SAT) over the tropical Pacific. Each El Niño event has its unique impact on the overlaying atmosphere, where the warming exhibits diversity in spatiotemporal patterns. It still remains an open question for discriminating the El Niño diversity, since the single area-averaging SST index often fails to distinguish the impact of the event diversity, which is partially due to the nonlinear and non-uniform variations of the warming patterns. Here, we introduced the Dynamical Systems metrics (DSMs) to measure instantaneous dimensions and persistence of the SAT warming patterns over the tropical Pacific. Our results show that different SAT warming patterns can be discriminated by their corresponding values of dimension and persistence, then the central Pacific and eastern Pacific El Niño events can be discriminated by DSM. Particularly, through the analyses of El Niño events, we can interpret the physical meaning of DSM parameters applied to the space-time SAT field: an instantaneous dimension reflects whether the sub-regions of the SAT field are consistently varying and to what degree the spatial pattern of anomalies is homogeneous, while the instantaneous persistence indicates how long an anomalous SAT pattern can be maintained. This work analyzes the spatiotemporal variability of El Niño from a dynamical system perspective, and DSM may also serve as a useful tool to study extreme events related to SST anomalies.
Plant storage proteins with antimicrobial activity: novel insights into plant defense mechanisms

Field: Agricultural and Biological Sciences (Life Sciences)

ABSTRACT Storage proteins perform essential roles in plant survival, acting as molecular reserves important for plant growth and maintenance, as well as being involved in defense mechanisms by virtue of their properties as insecticidal and antimicrobial proteins. These proteins accumulate in storage vacuoles inside plant cells, and, in response to determined signals, they may be used by the different plant tissues in response to pathogen attack. To shed some light on these remarkable proteins with dual functions, storage proteins found in germinative tissues, such as seeds and kernels, and in vegetative tissues, such as tubercles and leaves, are extensively discussed here, along with the related mechanisms of protein expression. Among these proteins, we focus on 2S albumins, Kunitz proteinase inhibitors, plant lectins, glycine‐rich proteins, vicilins, patatins, tarins, and ocatins. Finally, the potential use of these molecules in development of drugs to combat human and plant pathogens, contributing to the development of new biotechnology‐based medications and products for agribusiness, is also presented.—De Souza Cândido, E., Pinto, M. F. S., Pelegrini, P. B., Lima, T. B., Silva, O. N., Pogue, R., Grossi‐de‐Sá, M. F., Franco, O. L. Plant storage proteins with antimicrobial activity: novel insights into plant defense mechanisms. FASEB J. 25, 3290–3305 (2011). www.fasebj.org
Possible Solutions to the Problems of Microfinance Organizations with the Application of Intelligent Methods of Machine Learning

Field: Computer Science (Physical Sciences)

The authors consider the problems associated with the activities of microfinance organizations, and directions to eliminate them. The subject of the study is the need to introduce machine learning to solve urgent problems. Machine learning methods are increasingly being implemented to analyze financial and economic information, which reduces and eliminates some of the difficulties. Although currently these methods are not widely used in the field of microfinance institutions (MFIs), there are opportunities for their application. The aim of the work is to determine the prospects for the use of these methods in MFOs. The article describes the subject area of research, associated with MFIs. The authors identify the main groups of problems related to MFOs, consider the possibility of introducing machine learning for data analysis in this area and determine the main directions of the possible use of machine learning for MFIs. The authors concluded that such methods are applicable for assessing the performance of MFIs.
Reverse Polarity-Based Soil Electrokinetic Remediation: A Comprehensive Review of the Published Data during the Past 31 Years (1993–2023)

Field: Environmental Science (Physical Sciences)

Soil restoration by exploiting the principles and basics of electrokinetic (EK) has been extended to involve several categories, such as electrokinetic remediation in soil (SEKR), soil consolidation, the prevention of soil pollution, reclaiming salt-affected soil, the dewatering/dryness of wet soils, water reuse, seed germination, sedimentation, etc. As an extension of our recently published review articles on the soil electrokinetic (SEK) process intensification/optimization, the present review illustrates the effect of a reverse-polarity mode (RPM) on the efficiency of the SEK. Based on several searches of six database search engines, we did not find any relevant reviews focused on SEK improvements using the RPM. The influences of the RPM are described by various features, including (a) pollutant removal (organic, inorganic, and mixed pollutants) and (b) integration with other processes (phyto/bioremediation and Fenton oxidation), geosynthetics (consolidation, stabilization, and sedimentation), SEK operation conditions, and soil properties. Most of the RPM studies have focused on the remediation of organic pollutants. Several benefits can be gained from applying the RPM, such as (a) controlling the soil’s temperature, pH, and moisture values at desirable levels, (b) reducing a large number of chemical additives, (c) high remediation efficiency, (d) maintaining the indigenous fungal community’s appropriate diversity and abundance, (e) a stable and higher electric current, (f) enhancing microbial growth, etc. However, the hindrances to applying the RPM are (a) reducing the electroosmosis flow, (b) relatively high energy consumption, (c) reducing the diversity of soil microbes with a prolonged experiment period, (d) providing oxygen for a microbial community that may not be desirable for anaerobic bacteria, etc. Finally, the RPM is considered an important process for improving the performance of the SEK, according to experimental endeavors.
Recollements and stratifying ideals

Field: Mathematics (Physical Sciences)

Surjective homological epimorphisms with stratifying kernel can be used to construct recollements of derived module categories. These `stratifying' recollements are derived from recollements of module categories. Can every recollement be put in this form, up to equivalence? A negative answer will be given after providing a characterisation of recollements equivalent to stratifying ones. Moreover, criteria for a ring epimorphism to be `stratifying' will be presented as well as constructions of such epimorphisms.