Miracle-dz/UniFAR-FTUs huggingface dataset:
Isolating the impacts of anthropogenic water use within the hydrological regime of north India

The effects of anthropogenic water use play a significant role in determining the hydrological cycle of north India. This paper explores anthropogenic impacts within the region's hydrological regime by explicitly including observed human water use behaviour, irrigation infrastructure and the natural environment in the CHANSE (Coupled Human And Natural Systems Environment) socio‐hydrological modelling framework. The model is constrained by observed qualitative and quantitative information collected in the study area, along with climate and socio‐economic variables from additional sources. Four separate scenarios, including business as usual (BAU, representing observed irrigation practices), groundwater irrigation only (where the influence of the canal network is removed), canal irrigation only (where all irrigation water is supplied by diverted surface water) and rainfed only (where all human interventions are removed) are used. Under BAU conditions the modelling framework closely matched observed groundwater levels. Following the removal of the canal network, which forces farmers to rely completely on groundwater for irrigation, water levels decrease, while under a canal‐only scenario flooding occurs. Under the rainfed‐only scenario, groundwater levels similar to current business‐as‐usual conditions are observed, despite much larger volumes of recharge and discharge entering and leaving the system under BAU practices. While groundwater abstraction alone may lead to aquifer depletion, the conjunctive use of surface and groundwater resources, which includes unintended contributions of canal leakage, create conditions similar to those where no human interventions are present. Here, the importance of suitable water management practices, in maintaining sustainable water resources, is shown. This may include augmenting groundwater resources through managed aquifer recharge and reducing the impacts on aquifer resources through occasional canal water use where possible. The importance of optimal water management practices that highlight trade‐offs between environmental impact and human wellbeing are shown, providing useful information for policy makers, water managers and users. © 2019 John Wiley & Sons, Ltd.
Estrategias de intervención dirigidas a niños con trastorno negativista desafiante, una revisión de la literatura

Introduccion : el objetivo de este trabajo fue identificar las estrategias que se utilizan en el tratamiento de ninos con trastorno oposicional desafiante. Materiales y metodos : revision de la literatura sobre las estrategias de intervencion que se reportan para la intervencion de ninos con trastorno negativista desafiante. Se realizo en seis bases de datos: ProQuest, PubMed, Science Direct, Ebsco, Scopus y Scielo. Los criterios de inclusion fueron poblacion infantil, publicaciones en el periodo 2007-2015, idioma espanol e ingles, que explicaran estrategias de intervencion en ninos con trastorno negativista desafiante, articulos completos y disponibles. Los criterios de exclusion fueron articulos que mencionan desordenes cognitivos, intervenciones farmacologicas y tratamiento solo para deficit de atencion con hiperactividad. El metodo de registro y analisis de resultados se realizo en una rejilla en Excel, en la que se incluyo el numero de articulos por base de datos, ano, pais de publicacion, disciplina, herramientas de evaluacion, poblacion y estrategia de intervencion sugerida. Se revisaron 50 articulos que se ajustaban al objetivo del estudio. Resultados : el 50% de las publicaciones se encontraron en Pubmed, el 16% en Scopus, el 14% en Science Direct, el 10% en Proquest, el 6% en Ebsco y en Scielo 4%. Estados Unidos es el pais con mayor evidencia respecto al tema, con un 60% de publicaciones. El 50% de las busquedas reportan que las estrategias para el tratamiento del trastorno oposicional desafiante son desarrolladas de manera interdisciplinar y estan dirigidas a la poblacion infantil. Conclusiones : las estrategias de intervencion se plantean desde un enfoque clinico, y pocas involucran estrategias pedagogicas.
Wide-Bandgap Semiconductor HF-Oscillation Attenuation Method With Tuned Gate $RLC$ Filter

Wide-bandgap (WBG) transistors provide better switching performance and higher operating temperatures compared to state-of-the-art Si devices and are suited for high-frequency applications due to very short switching times. The main obstacle for implementation of WBG transistors at full potential is the high-frequency oscillation in voltage and current during switching transients. Oscillations arise from resonance due to parasitic and device inductances and capacitances. Introduction of WBG transistors depends on the elimination of these oscillations and their negative effect on the performance of power converters. Good layout practice is mandatory, but there is a limit to the reduction of these parasitics, and often, slowing of the semiconductor switching time must be applied. This article presents a simple methodology for the attenuation of the negative effects of WBG transistor high-frequency oscillations without increasing rise and fall times. The proposed methodology is based on determination of the source of feedback resonant frequency between gate and power loops using network analyzer measurement on printed circuit board and utilization of a tuned $RLC$ filter. Experimental application of the methodology shows a direct relationship between loop resonant frequency and voltage and current oscillations. The proposed method reduces power losses, high-frequency oscillations, and electromagnetic interference.
Cross-Layer Resource Allocation in Wireless-Enabled NFV

In this letter, we propose a cross layer resource optimization model and solution to wireless enabled SFC network. Particularly, we aim to minimize end-to-end downlink latency including both wireless and wired delay by optimizing VNF placement, routing path and wireless resources in terms of resource block for each SFC. We formulate the problem into a non-linear non-convex integer optimization problem and propose a heuristic method HCLRA to solve the problem. The simulation results show that the latency performance of the proposed heuristic algorithm HCLRA is close to optimal and better than a suboptimal genetic algorithm.
Remote sensing of regional-scale maize lodging using multitemporal GF-1 images

Abstract. Lodging stress affects the yield, quality, and mechanical harvesting capacity of maize, thereby resulting in a reduction in maize production. The timely monitoring of maize lodging assists in determining the extent and degree of the effects. This study proposed a method for this purpose using Gaofen-1 (GF-1) optical satellite images, which can be significant for lodging field management, production assessments, and implementation of the related remedial measures. The evaluation index of the lodging grade was constructed by measuring the proportion and angle of maize lodging after the lodging incident. Variations in spectral reflectance and vegetation index were calculated before and after lodging. The competitive adaptive reweighted sampling algorithm was used to screen the optimal combination of variables sensitive to the evaluation index of the maize lodging grade. A remote sensing monitoring model was established by using random forest (RF) and partial least squares (PLS). Results show that the maize lodging monitoring model established by RF is better than that of PLS. The accuracy of monitoring the lodging damage using the GF-1 images reaches 79%. Meanwhile, the classification map of the lodging grade we constructed using an RF model is consistent with the actual lodging area. Hence, this method can effectively characterize the intensity of lodging stress and can also be used to assess the range of damages caused by regional-scale lodging.
Eosinophils as Drivers of the IL-23/IL-17 Axis: Implications for Acute Aspergillosis and Allergic Asthma: A Dissertation

Aspergillus fumigatus is an opportunistic fungal pathogen that causes lethal invasive pulmonary disease in immunocompromised hosts and allergic asthma in sensitized individuals. This dissertation explores how eosinophils may protect hosts from acute infection while driving asthma pathogenesis by co-producing IL-23 and IL-17 in both contexts. In an acute model of pulmonary aspergillosis, eosinophils were observed to associate with and kill A. fumigatus spores in vivo. In addition, eosinopenia was correlated with higher mortality rates, decreased recruitment of inflammatory monocytes to the lungs, and decreased expansion of lung macrophages. As IL-17 signaling must occur on a local level to elicit its stereotypical response, such as the up-regulation of antimicrobial peptides and specific chemokines from stromal cells, eosinophils were discovered to be a significant source of pulmonary IL-17 as well as one of its upstream inducers, IL-23. In the context of asthma, this discovery opens a new paradigm whereby eosinophils might be driving asthma pathogenesis.
RAF near point rule for near point of convergence—a short review

RAF near point rule (RNPR) is a routinely used instrument in ophthalmology and optometry practice as well as for research purposes to measure the near point of convergence (NPC). The measurement of NPC is an important criterion for diagnosis and management of convergence insufficiency. The RNPR forms an important tool for ophthalmic clinicians however, only a very little is understood about it. This article tries to describe and review the designs, measurement techniques, merits and demerits of the RNPR and establish the need for its modification. It recommends that clinicians and researchers consider these findings while measuring NPC with the RNPR.
ALGORITMO PARA OTIMIZAR HEURÍSTICO COMPLEXO ENTRE AS TAREFAS

This article describes the algorithm that optimizes the complex heuristic of relationships between tasks. These tasks are the computational logics of interaction in the acquisition, treatment, and availability of information. The informations of the basic data acquired is stored and organized in an aggregated group with indexing for access in a given ordering that allows it to be related to other groups of the same nature of media. The methodology for optimization is based on the generation of a single index, in such a way that the data are aligned in a single hierarchical form, or in the natural form of the acquisition of the same ones. With the composition in a single indexing, the algorithm describes the order in which the information is arranged. In this way, such information is handled by an agile and simplified process compared to a complex conventional logic. The choice of a heuristic type, the indexing ordering form, and the relationship between the tasks, are the essence to obtain the smallest path in the data access and processing. That process, based on this indexation, expedites the availability of
Sentiment Analysis for Distance Education Course Materials: A Machine Learning Approach

Nowadays many companies and institutions are interested in learning what do people think and want. Many studies are conducted to answer these questions. That’s why, emotions of people are significant in terms of instructional design. However, processing and analysis of many people's ideas and emotions is a challenging task. That is where the 'sentiment analysis' through machine learning techniques steps in. Recently a fast digitalization process is witnessed. Anadolu university, that serves 1 million distant students, is trying to find its place in this digital era. A learning management system (LMS) that distant students of the Open Education Faculty (Acikogretim Fakultesi) is developed at the Anadolu University. Interaction with students is the clear advantage of LMS's when compared to the hard copy materials. Book, audio book (mp3), video and interactive tests are examples of these materials. 6059 feedbacks for those online materials was scaled using the triple Likert method and using machine learning techniques sentiment analysis was performed in this study. 0.775 correctness ratio was achieved via the Logistic regression algorithm. The research concludes that machine learning techniques can be used to better understand learners and how they feel.
Scientific Opinion on Dietary Reference Values for fluoride

is based on the body weight before pregnancy and lactation. Reliable and representative data on the total fluoride intake of the European population are not available. No data are available to define a dose-response relationship between fluoride intake and caries for adults. The Panel considered that the AI for children of 0.05 mg/kg body weight per day can also be applied to adults, including pregnant and lactating women. For pregnant and lactating women the AI is based on the body weight before pregnancy and lactation. Reliable and representative data on the total fluoride intake of the European population are not available. The available data on fluoride intake are variable but generally at or below 0.05 mg/kg body weight per day. Study. This project involves the same children as the Fluoride Study and looks at dietary, genetic and physical activity factors, and how these affect bone growth. Parents were asked to complete questionnaires about the amount of physical activity their children had, and the children's diets were analysed for calcium, vitamin D, phosphorus and fluoride. The mean fluoride intake estimated by AUC was 0.68 mg (SD 0.27) per day from birth to 11 years when bone examinations (BMD, bone mineral content by whole body and lumbar spine DXA scans) were performed in 481 children. After adjustment for no bone outcomes measures (Levy The for assessment other parameters bone health.
The Disease Severity and Related Pathogens Caused by Root Rot on 6 Years Old Ginseng Cultivation Fields

Ginseng (Pnanx ginseng C. A. Meyer) is famous worldwide, and is very important cash crop and medicinal herb in Korea. It takes four to five years to produce harvestable ginseng roots, and ginseng is attacked by several pathogens during cultivation. We investigated the disease rate caused by ginseng root rot from 6 years old ginseng cultivation fields (Chungnam; 9 fields, Chungbuk; 11 fields, Gangwon 5 fields). The highest disease severity was Dangjin D (2.9) and the lowest one was Gaesan C (0.6). Of the 625 isolations, 340 isolations were classified as Ilyonectria radicicola and Fusarium solani. Finally, genetic diversity of I. radicicola and F. solani was confirmed by sequence analysis. Among the I. radicicola group, I. mors-panacis, which is known as highly virulent pathogen, and I. liriodendri, I. robusta and I. cyclamicicola, which are weakly virulent pathogens, were identified. In the case of F. solani, it is divided into two groups, but it is necessary to conduct diversity research through genetic analysis and pathogenetic studies using various markers. Based on these results, it could be used as a basic data for control of ginseng root rot pathogens.
Eight Principles for Managing Prescription Medications in the Athletic Training Room

ATHLETIC THERAPY TODAY ATHLETIC THERAPY TODAY JANUARY 2005  7 Over the last 10 years the use of prescription and over-the-counter medications in the athletic training room has increased exponentially. This is a result, in part, of new medications being introduced to the marketplace that are specifically designed for sports medicine, an increased economy affording a wider variety of services for athletes, more physicians specializing in team sports, and older athletic training rooms being updated, remodeled, or rebuilt to include physician offices, exam rooms, and dispensing areas. These increases in drug use should be incrementally reflected in management systems for ordering, storing, dispensing, and administering medications. There have been many changes over the last 10 years to the state and federal regulations concerning the handling of medications by team physicians wishing to administer or dispense medication in the athletic training room (see the sidebar). The purpose of this article is to suggest some general principles or guidelines that every professional, university, or college sportsmedicine department should add to their existing policies and programs. These suggestions should be considered minimum criteria, and in fact an aggressive program could incorporate up to 10 times this number.
Urinary capillariosis in dogs

Background. Urinary capillariosis in dogs is caused by Capillaria plica (syn. Pearsonema plica), a ubiquitous parasitic nematode resembling a string which belongs to the family Capillariidae. It parasitizes the feline, canine and musteline urinary bladder, and has been found in ureters and renal pelvises as well. C. plica has an indirect life cycle, with earthworms (Lumbricina) as intermediate hosts and domestic and wild animals (dog, cat, fox and wolf) as primary hosts. Infection of primary hosts occurs via ingestion of earthworms that contain infective first stadium (L1) larvae. An alternative path of infection for primary hosts is assumed to be ingestion of soil contaminated by infectious larvae derived from decomposed earthworms. Infection is mostly asymptomatic, but the clinical picture presents with pollakiuria, dysuria, haematuria, polydipsia, incontinence and/or fever. Scope and Approach. The aim of this review is to highlight the importance of urinary capillariosis in dogs. Since the health care of wild and domestic carnivores is extremely important, this review provides information about the morphology, biology and epizootiology of the C. plica nematode. Due to the importance of this disease for clinicians and increased disease prevalence during the last decade in many countries, this review presents the latest information on the pathogenesis, clinical signs, diagnosis, treatment and prevention of this infection. Key Findings and Conclusions. Capillariosis is usually accidentally diagnosed due to the nonspecific clinical signs and there is no treatment of choice. Practitioners should consider latent urinary capillariosis infection as a possible cause while examining for urinary tract diseases.
Scientific Opinion on the safety of caffeine

Following a request from the European Commission, the EFSA Panel on Dietetic Products, Nutrition and Allergies was asked to deliver a scientific opinion on the safety of caffeine, providing advice on caffeine intakes, from all dietary sources that do not give rise to concerns about adverse health effects for the general healthy population and subgroups thereof. Possible interactions between caffeine and other constituents of so-called “energy drinks”, alcohol, p-synephrine and physical exercise should also be addressed. Single doses of caffeine up to 200 mg (about 3 mg/kg bw for a 70-kg adult) do not give rise to safety concerns. The same amount does not give rise to safety concerns when consumed < 2 hours prior to intense physical exercise under normal environmental conditions. Other constituents of “energy drinks” at typical concentrations in such beverages (about 300–320, 4 000 and 2 400 mg/L of caffeine, taurine and D-glucurono-γ-lactone, respectively), as well as alcohol at doses up to about 0.65 g/kg bw, would not affect the safety of single doses of caffeine up to 200 mg. Habitual caffeine consumption up to 400 mg per day does not give rise to safety concerns for non-pregnant adults. Habitual caffeine consumption up to 200 mg per day by pregnant women does not give rise to safety concerns for the fetus. Single doses of caffeine and habitual caffeine intakes up to 200 mg consumed by lactating women do not give rise to safety concerns for breastfed infants. For children and adolescents, the information available is insufficient to derive a safe caffeine intake. The Panel considers that caffeine intakes of no concern derived for acute caffeine consumption by adults (3 mg/kg bw per day) may serve as a basis to derive single doses of caffeine and daily caffeine intakes of no concern for these population subgroups. © European Food Safety Authority, 2015
Determination of Factors Associated with Public Service Quality Measurement in the Government Sector based on Customer Psychology

Abstract: Objective: Customer satisfaction and influencing factors are one of the most important factors in determining the success of organizations. This study, therefore, aimed to determine factors associated with public service quality measurement in the government sector based on customer psychology. Methods: In this descriptive survey, the population consisted of the first group of experts familiar with theories of service quality, and the second group included the employees (n = 29,687) of the Agriculture-Jihad Organizations (AJOs) in the Iranian provinces. Data were collected by questionnaires of factors related to service delivery process, general service quality, and customer psychology with validities of 0.91. 5, 0.94. 9, 0.93. 1, and reliabilities of 0.95, 0.97. 1, and 0.92. 2, respectively. Data were analyzed using confirmatory factor analysis with LISREL 8.8 software. Findings: The presence of a mediator variable increased its influence and its mediator role was confirmed in all the cases according to a t-statistic (1.96) greater than the critical t-value at 5% error level and due to higher indirect effects than direct paths. Conclusion: There were significant relationships between service delivery processes and information technology, job satisfaction, organizational agility, staff empowerment, organizational intelligence, organizational commitment, leadership style, and organizational structure, all of which were based on customer psychology. Keywords: Public service quality, Customer psychology, Service delivery process, Agriculture-Jihad Organizations.
Review paper The role of substance P in rheumatoid arthritis

W ostatnich latach wiedza o udziale neuropeptydów w patogenezie chorób reumatycznych uległa poszerzeniu. Reumatoidalne zapalenie stawów należy do przewlekłych, zapalnych, układowych chorób tkanki łącznej, w patogenezie których duże znaczenie ma czynnik neurogenny. W artykule omówiono informacje dotyczące metabolizmu i farmakokinetyki substancji P. Neuropeptyd – substancja P – jest uwalniana z zakończeń nerwów czuciowych i stanowi jeden z mediatorów ostrego i przewlekłego stanu zapalnego. S u m m a r y
Research on Testing and Verification of Internet of Things Technology Based on Edge Computing

With the expansion of the scale of the development and the deployment of IoT applications, the terminals and network devices of IoT are increasing day by day, resulting in massive data, most of which need to be processed on the edge. Edge computing can achieve localized processing of traffic and reduce traffic network traffic impact. Therefore, it is necessary to carry out the research of testing and verification of IoT technology based on edge computing, tackle key technologies of edge computing, and develop test and verification services
Anesthesia Screening for Obstructive Sleep Apnea

In the United States, an estimated 82% of men and 92% of women with moderate to severe obstructive sleep apnea (OSA) have not been diagnosed. Combined with the fact that Americans’ waist lines are expanding, it is expected that these numbers will increase. This study takes a well-known obstructive sleep apnea screening questionnaire, STOP-BANG, and attempts to identify a positive test score with potential risks and complications for surgical patients requiring anesthesia. In addition, this study attempts to look at the relationship between the patients’ BMI and intraoperative and postoperative complications. This study also attempts to determine if STOP-BANG-positive patients require longer postoperative recovery times. Anesthesia providers care for many patients who may fit the profile of having OSA. Undiagnosed OSA patients may potentially place themselves at a higher risk for complications during the perioperative period. It is beneficial for those patients to be flagged with utilization of a preoperative assessment tool such as STOP-BANG. By identifying the at-risk patients early, measures can be taken to increase safety and improve outcomes.