nils-herrmann/clean_scirepeval huggingface dataset:
Effect of different anesthetic agents (clove oil, tricaine methanesulfonate, ketamine, tobacco) on hematological parameters and stress indicators of rainbow trout Oncorhynchus mykiss, Walbaum, 1792

The aim of this study was to assess the efficiency of four anesthetic agents, tricaine methanesulfonate (MS-222), clove oil, 7 ketamine, and tobacco extract on juvenile rainbow trout. Also, changes of blood indices were evaluated at optimum doses of four anesthetic agents. Basal effective concentrations determined were 40 mg L−1 (induction, 111 ± 16 s and recovery time, 246 ± 36 s) for clove oil, 150 mg L−1 (induction, 287 ± 59 and recovery time, 358 ± 75 s) for MS-222, 1 mg L−1 (induction, 178 ± 38 and recovery time, 264 ± 57 s) for ketamine, and 30 mg L−1 (induction, 134 ± 22 and recovery time, 285 ± 42 s) for tobacco. According to our results, significant changes in hematological parameters including white blood cells (WBCs), red blood cells (RBCs), hematocrit (Ht), and hemoglobin (Hb) were found between four anesthetics agents. Also, significant differences were observed in some plasma parameters including cortical, glucose, and lactate between experimental treatments. Induction and recovery times for juvenile Oncorhynchus mykiss anesthetized with anesthetic agents were dose-dependent.
EEG delta oscillations as a correlate of basic homeostatic and motivational processes

Functional significance of delta oscillations is not fully understood. One way to approach this question would be from an evolutionary perspective. Delta oscillations dominate the EEG of waking reptiles. In humans, they are prominent only in early developmental stages and during slow-wave sleep. Increase of delta power has been documented in a wide array of developmental disorders and pathological conditions. Considerable evidence on the association between delta waves and autonomic and metabolic processes hints that they may be involved in integration of cerebral activity with homeostatic processes. Much evidence suggests the involvement of delta oscillations in motivation. They increase during hunger, sexual arousal, and in substance users. They also increase during panic attacks and sustained pain. In cognitive domain, they are implicated in attention, salience detection, and subliminal perception. This evidence shows that delta oscillations are associated with evolutionary old basic processes, which in waking adults are overshadowed by more advanced processes associated with higher frequency oscillations. The former processes rise in activity, however, when the latter are dysfunctional.
Solution-focused coaching in pediatric rehabilitation: an integrated model for practice.

This article describes the conceptual basis and key elements of a transdisciplinary model for solution-focused coaching in pediatric rehabilitation (SFC-peds). The model exemplifies a strengths-based, relational, and goal-oriented approach to clinical practice. It provides a distinct shift from a problem-oriented, therapist-directed approach to a possibilities-oriented approach where client empowerment takes precedence. The model facilitates client change through a method of working with client strengths and resources that involves the use of strategic questions to co-construct therapy intervention. Through client-therapist collaboration, therapy goals and plans are developed that align with client hopes, priorities, and readiness for change. SFC supports client self-determination and capacity for change through customized therapy goals and plans that are meaningful for the child and family. Implications for therapists include the need for relational expertise, practical coaching skills, and expertise in facilitating change. The need for research on the effectiveness of this approach in pediatric rehabilitation is discussed.
Autonomous vehicle planning system design under perception limitation in pedestrian environment

Autonomous driving within the pedestrian environment is always challenging, as the perception ability is limited by the crowdedness and the planning process is constrained by the complicated human behaviors. In this paper, we present a vehicle planning system for self-driving with limited perception in the pedestrian environment. Acknowledging the difficulty of obstacle detection and tracking within the crowded pedestrian environment, only the raw LIDAR sensing data is employed for the purpose of traversability analysis and vehicle planning. The designed vehicle planning system has been experimentally validated to be robust and safe within the populated pedestrian environment.
Caring Behaviors Inventory: a reduction of the 42-item instrument.

Caring traditionally has been at the center of nursing. Effectively measuring the process of nurse caring is vital in nursing research. A short, less burdensome dimensional instrument for patients' use is needed for this purpose.



To derive and validate a shorter Caring Behaviors Inventory (CBI) within the context of the 42-item CBI.



The responses to the 42-item CBI from 362 hospitalized patients were used to develop a short form using factor analysis. A test-retest reliability study was conducted by administering the shortened CBI to new samples of patients (n = 64) and nurses (n = 42).



Factor analysis yielded a 24-item short form (CBI-24) that (a) covers the four major dimensions assessed by the 42-item CBI, (b) has internal consistency (alpha =.96) and convergent validity (r =.62) similar to the 42-item CBI, (c) reproduces at least 97% of the variance of the 42 items in patients and nurses, (d) provides statistical conclusions similar to the 42-item CBI on scoring for caring behaviors by patients and nurses, (e) has similar sensitivity in detecting between-patient difference in perceptions, (f) obtains good test-retest reliability (r = .88 for patients and r=.82 for nurses), and (g) confirms high internal consistency (alpha >.95) as a stand-alone instrument administered to the new samples.



CBI-24 appears to be equivalent to the 42-item CBI in psychometric properties, validity, reliability, and scoring for caring behaviors among patients and nurses. These results recommend the use of CBI-24 to reduce response burden and research costs.
Broadcast in radio networks tolerating byzantine adversarial behavior

Much work has focused on the Byzantine Generals (or secure broadcast) problem in the standard model in which pairwise communication is available between all parties in the network. Some research has also explored the problem when pairwise channels exist only between selected pairs of players, or under the assumption of "k-cast channels" shared by all subsets of players of size k. However, none of these models are appropriate for radio networks in which a player can communicate only by multicasting a message which is then received by all players within some radius r (i.e., the neighbors of the transmitting node). Yet, as far as we are aware, obtaining secure broadcast in radio networks in the presence of a Byzantine adversary has not been studied before.This paper corrects this omission, and provides the first analysis of secure broadcast in radio networks for the case of Byzantine adversaries. We note that secure broadcast is impossible in the presence of an omnipotent adversary. To bypass this barrier, we make the following assumption: there exists a prefixed schedule for players to communicate and everyone (including corrupted ones) adheres to this schedule. Under this assumption, we give a simple broadcast protocol which is provably secure whenever the adversary corrupts at most 1<over>4 r(r+√rover2 + 1)-3 neighbors (roughly a 1/4π fraction) of any honest player. On the other hand, we show that it is impossible to achieve secure broadcast when the adversary corrupts ⌈1/2 r(2r+1)⌉ (roughly a 1/π fraction) neighbors of any honest player.
Frequency response analysis to investigate deformation of transformer winding

This paper discusses the application of Nyquist plot and two statistical indicators to analyze the frequency response of power transformers. Five cases are presented based on both simulations and measurements. These include two types of winding deformation, namely tilting and bending of conductors. Initially, damage is simulated for five degrees of severity and analyzed using two statistical indicators. The indicators are compared for their performance in terms of evaluating the severity of damage. New findings from this comparison are presented. Additionally, the benchmark limit for one of the indicators is also assessed on all cases. Finally, a methodology is proposed to estimate the severity of damage from two frequency responses using the Nyquist plot. This method is tested on three different windings.
Orchestrating scalable service function chains in a NFV environment

Service Function Chaining (SFC) serves the traffic of a specific service along an ordered set of Service Functions (SFs). SFC uses Software Defined Networking (SDN) and Network Function Virtualization (NFV) technologies to reach the deployment and removal of SFC in an appropriate time with minimal costs. However, during the life time of deployed SFCs, the SFs are exposed to the risk of overloading, which results in an end-to-end packets drop and high delay at the application level. This paper presents the concept of a Scalable SFC Orchestrator capable of deploying SF Chains following the ETSI NFV architectural model, as well as orchestrating the runtime phase by rerouting the traffic to a different path in case of overload of certain SF instances. Moreover, a selection algorithm is presented to build the updated paths after scaling. The Scalable Orchestration feature is implemented and added as a main feature to an SFC Orchestrator. Furthermore, it is integrated into a current NFV architecture and evaluated in an NFV environment making use of the Fraunhofer FOKUS Open Baton toolkit in an OpenStack and Open Daylight based environment.
Characterization of an Interleaved F-DAS MIMO indoor propagation channel

A key point in the deployment of new wireless services is the cost-effective extension and enhancement of the network's radio coverage in indoor environments. Distributed Antenna Systems using Fiber-optics distribution (F-DAS) represent a suitable method of extending multiple-operator radio coverage into indoor premises, tunnels, etc. Another key point is the adoption of MIMO (Multiple Input — Multiple Output) transmission techniques which can exploit the multipath nature of the radio link to ensure reliable, high-speed wireless communication in hostile environments. In this paper novel indoor deployment solutions based on Radio over Fiber (RoF) and distributed-antenna MIMO techniques are presented and discussed, highlighting their potential in different cases.
CASENG: ARABIC SEMANTIC SEARCH ENGINE

Accurate information availability is a key factor for knowledge acquisition without going into extraneous information. Understanding searcher intent and the contextual meaning of terms as they appear in the searchable dataspace is a challenge that has been addressed and handled by many semantic search engines. As meaning encoded separately from data in semantic technology, adding, changing and implementing new relationships can be done easily. The evolution of semantic search added a new dimension of challenge due to a lack in support of the Arabic language. In this paper, we figure out the problem and implement a Semantic Search Engine (CASEng) for College of Applied Sciences, Oman. CASEng supports both Arabic and English search. It uses a Resource Description Framework (RDF) data and Lucene for indexing and searching to move from keyword-based search via Google and other engines to semantics-based search. The experiments show that both the spell-checker and the search engine perform well with a set of test queries.
ANTIOXIDANT AND ANTICANCER STUDY OF AGERATUM CONYZOIDES AQUEOUS EXTRACTS

Ageratum conyzoides, an annual herb, has been used in folklore for managing of a wide range of diseases including cancer. However, the safety and effectiveness of this medicinal plant is poorly evaluated. The intention of this study was to evaluate the in vitro antioxidant and anticancer activities of aqueous leaf, flower, stem and whole plant extracts of A. conyzoidesas well as the qualitative phytochemical constituents. The DPPH, Folin-Ciocalteau and glutathione assays were used to evaluate the plant’s antioxidant potential. The in vitro 3-(4, 5dimethylthiazol-2-yl)-2, 5-diphenyltetrazolium bromide (MTT) assay was exploited for determination of in vitro anticancer activity against four selected human cell lines: leukemic (Jurkat), prostate (LNCap), breast (MCF-7), and normal prostate (PNT2). Curcumin was used as standard anticancer compound. The selectivity index (SI) for each extract was also estimated. The extracts scavenged DPPH in a dose dependent manner compared to the positive control, butylated hydroxy toluene (BHT). The leaf extract was the strongest scavenger of DPPH free radical, EC50 value of 0.091 ± 0.024mg/ml, and also recorded the highest total phenol content of 1678.86 ± 40.67 mg/g GAE. However, glutathione was not detected in any of the crude extracts. The cytotoxicity exhibited by the aqueous leaf extract was weak on Jurkat cells with IC50 value of 408.15±23.25 μg/ml, and inactive to the remaining cancer cell lines. Moreover, the other extracts showed weak or no activities on the cancer cell lines. All extracts were not cytotoxic to the normal prostate (PNT2) cell line. The leaf extract was selective against Jurkat cell lines with SI value of 2.5, a little higher than curcumin (SI = 2.3). The presence of tannins, saponins and terpenoids were concentrated in the leaf and flower extracts of the plant. The present investigations suggest that Ageratum conyzoides aqueous extracts possess remarkable antioxidant effects, and weak anticancer properties. The phytochemical compounds detected could be responsible for these properties. Further studies should be conducted to unravel the active chemical principle(s).
Familial recurrent hydatidiform mole: a review.

This article reviews published data on familial recurrent hydatidiform mole with particular reference to the genetic basis of this condition, the likely outcome of subsequent pregnancies in affected women and the risk of persistent trophoblastic disease following molar pregnancies in these families. Familial recurrent hydatidiform mole is characterized by recurrent complete hydatidiform moles of biparental, rather than the more usual androgenetic, origin. Although the specific gene defect in these families has not been identified, genetic mapping has shown that in most families the gene responsible is located in a 1.1 Mb region on chromosome 19q13.4. Mutations in this gene result in dysregulation of imprinting in the female germ line with abnormal development of both embryonic and extraembryonic tissue. Subsequent pregnancies in women diagnosed with this condition are likely to be complete hydatidiform moles. In 152 pregnancies in affected women, 113 (74%) were complete hydatidiform moles, 26 (17%) were miscarriages, 6 (4%) were partial hydatidiform moles, and 7 (5%) were normal pregnancies. Molar pregnancies in women with familial recurrent hydatidiform mole have a risk of progressing to persistent trophoblastic disease similar to that of androgenetic complete hydatidiform mole.
Alzheimer's disease and vascular dementia in developing countries: prevalence, management, and risk factors

Despite mortality due to communicable diseases, poverty, and human conflicts, dementia incidence is destined to increase in the developing world in tandem with the ageing population. Current data from developing countries suggest that age-adjusted dementia prevalence estimates in 65 year olds are high (>or=5%) in certain Asian and Latin American countries, but consistently low (1-3%) in India and sub-Saharan Africa; Alzheimer's disease accounts for 60% whereas vascular dementia accounts for approximately 30% of the prevalence. Early-onset familial forms of dementia with single-gene defects occur in Latin America, Asia, and Africa. Illiteracy remains a risk factor for dementia. The APOE epsilon4 allele does not influence dementia progression in sub-Saharan Africans. Vascular factors, such as hypertension and type 2 diabetes, are likely to increase the burden of dementia. Use of traditional diets and medicinal plant extracts might aid prevention and treatment. Dementia costs in developing countries are estimated to be US$73 billion yearly, but care demands social protection, which seems scarce in these regions.
Ketogenic diet does not affect strength performance in elite artistic gymnasts

Despite the increasing use of very low carbohydrate ketogenic diets (VLCKD) in weight control and management of the metabolic syndrome there is a paucity of research about effects of VLCKD on sport performance. Ketogenic diets may be useful in sports that include weight class divisions and the aim of our study was to investigate the influence of VLCKD on explosive strength performance.



8 athletes, elite artistic gymnasts (age 20.9 ± 5.5 yrs) were recruited. We analyzed body composition and various performance aspects (hanging straight leg raise, ground push up, parallel bar dips, pull up, squat jump, countermovement jump, 30 sec continuous jumps) before and after 30 days of a modified ketogenic diet. The diet was based on green vegetables, olive oil, fish and meat plus dishes composed of high quality protein and virtually zero carbohydrates, but which mimicked their taste, with the addition of some herbal extracts. During the VLCKD the athletes performed the normal training program. After three months the same protocol, tests were performed before and after 30 days of the athletes' usual diet (a typically western diet, WD). A one-way Anova for repeated measurements was used.



No significant differences were detected between VLCKD and WD in all strength tests. Significant differences were found in body weight and body composition: after VLCKD there was a decrease in body weight (from 69.6 ± 7.3 Kg to 68.0 ± 7.5 Kg) and fat mass (from 5.3 ± 1.3 Kg to 3.4 ± 0.8 Kg p < 0.001) with a non-significant increase in muscle mass.



Despite concerns of coaches and doctors about the possible detrimental effects of low carbohydrate diets on athletic performance and the well known importance of carbohydrates there are no data about VLCKD and strength performance. The undeniable and sudden effect of VLCKD on fat loss may be useful for those athletes who compete in sports based on weight class. We have demonstrated that using VLCKD for a relatively short time period (i.e. 30 days) can decrease body weight and body fat without negative effects on strength performance in high level athletes.
Dynamic adaptive streaming over HTTP: from content creation to consumption

In this tutorial we present dynamic adaptive streaming over HTTP ranging from content creation to consumption. It particular, it provides an overview of the recently ratified MPEG-DASH standard, how to create content to be delivered using DASH, its consumption, and the evaluation thereof with respect to competing industry solutions. The tutorial can be roughly clustered into three parts. In part I we will provide an introduction to DASH, part II covers content creation, delivery, and consumption, and, finally, part III deals with the evaluation of existing (open source) MPEG-DASH implementations compared to state-of-art deployed industry solutions.
Negative Binomial Matrix Factorization for Recommender Systems

We introduce negative binomial matrix factorization (NBMF), a matrix factorization technique specially designed for analyzing over-dispersed count data. It can be viewed as an extension of Poisson matrix factorization (PF) perturbed by a multiplicative term which models exposure. This term brings a degree of freedom for controlling the dispersion, making NBMF more robust to outliers. We show that NBMF allows to skip traditional pre-processing stages, such as binarization, which lead to loss of information. Two estimation approaches are presented: maximum likelihood and variational Bayes inference. We test our model with a recommendation task and show its ability to predict user tastes with better precision than PF.
Robuste asymptotische Störkompensation mittels beobachterbasierter Störgrößenaufschaltungen

In diesem Beitrag wird ein neues Verfahren zum Entwurf von Störgrößenaufschaltungen mit Störbeobachtern für Strecken mit unbekanntem Störeingriffsort vorgestellt. Die resultierenden Regler sichern die Robustheit der asymptotischen Störkompensation, womit auch bei Auftreten von nicht destabilisierender Modellunsicherheit die stationär vollständige Ausregelung von Störungen gewährleistet ist. Der neue Reglerentwurf ist dual zur Anwendung des internen Modellprinzips mittels des Ansatzes von Davison. Im Gegensatz zu letzterem ermöglicht die neue Entwurfsmethodik jedoch eine sehr einfache und vollständige Vermeidung von Regler-Windup durchEinspeisungdes begrenzten Stellsignals in den Störbeobachter. Ein einfaches Beispiel verdeutlicht die Vorteile des neuen Entwurfsverfahrens.
Use of data mining in crop yield prediction

Agriculture is the most important sector that influences the economy of India. It contributes to 18% of India's Gross Domestic Product (GDP) and gives employment to 50% of the population of India. People of India are practicing Agriculture for years but the results are never satisfying due to various factors that affect the crop yield. To fulfill the needs of around 1.2 billion people, it is very important to have a good yield of crops. Due to factors like soil type, precipitation, seed quality, lack of technical facilities etc the crop yield is directly influenced. Hence, new technologies are necessary for satisfying the growing need and farmers must work smartly by opting new technologies rather than going for trivial methods. This paper focuses on implementing crop yield prediction system by using Data Mining techniques by doing analysis on agriculture dataset. Different classifiers are used namely J48, LWL, LAD Tree and IBK for prediction and then the performance of each is compared using WEKA tool. For evaluating performance Accuracy is used as one of the factors. The classifiers are further compared with the values of Root Mean Squared Error (RMSE), Mean Absolute Error (MAE) and Relative Absolute Error (RAE). Lesser the value of error, more accurate the algorithm will work. The result is based on comparison among the classifiers.
Real-Time Big Data Stream Analytics

Big Data is a new term used to identify datasets that we cannot manage with current methodologies or data mining software tools due to their large size and complexity. Big Data mining is the capability of extracting useful information from these large datasets or streams of data. New mining techniques are necessary due to the volume, variability, and velocity, of such data. MOA is a software framework with classification, regression, and frequent pattern methods, and the new APACHE SAMOA is a distributed streaming software for mining data streams.