nils-herrmann/clean_scirepeval huggingface dataset:
Effect of mass multiple counting on the elastic properties of open cell regular porous biomaterials

Low density open cell porous structures are widely researched due to their mechanical properties that are close to natural bone and their open cell interconnected structure that allows for ingrowth of new bone tissue. Different studies have shown that apparent density dominates the mechanical properties of porous lattice structures. Surveying the literature revealed that in the previously published studies, there are inaccuracies in calculating the apparent density. In this study, the effects of considering exact apparent density rather than approximate density on the predicted elastic modulus, yield stress, and Poisson's ratio were investigated. The accuracy of the created models was evaluated by comparing their mechanical properties with corresponding experimental data. Five different types of unit cell, namely cube, rhombic dodecahedron, Weaire Phelan, Kelvin, and diamond and three different cross section geometries namely circle, square, and triangle were considered. The effects of unit cell type, cross section type, and apparent density on the elastic moduli of open cell tessellated cellular structures were also investigated. Considering exact density instead of approximate density increased the calculated elastic modulus and yield stress of structures with different morphologies by 22% 44% for an apparent density of 50% Inversely, using exact apparent density instead of approximate apparent density decreased the Poisson's ratio values.
Multiple biomarker responses in Prochilodus lineatus subjected to short term in situ exposure to streams from agricultural areas in Southern Brazil.
Venue: The Science of the total environment

In order to assess the quality of streams susceptible to contamination by pesticides we apply biochemical and genotoxic biomarkers in the Neotropical fish Prochilodus lineatus submitted to in situ tests. Fish were caged, for 96 h, in two streams located in areas with intensive use of pesticides, the Apertados (AP) and the Jacutinga (JC) and in a small stream (Godoy stream GD) found inside a forest fragment adjacent to a State Park. Biochemical parameters, such as biotransformation enzymes 7 ethoxyresorufin O deethylase (EROD) and glutathione S transferase (GST) non protein thiols (NPSH) lipoperoxidation (LPO) protein carbonylation (PCO) and acetylcholinesterase (AChE) were evaluated in various fish organs, as well as genotoxic biomarkers (damage to DNA and occurrence of micronuclei and erythrocyte nuclear abnormalities) Samples of water and sediment were collected for analysis of metals (Cu, Cr, Pb, Ni, Mn, Cd and Zn) organochloride pesticides, and triazine and glyphosate herbicides. We observed an increase in liver GST activity in fish at AP and gill GST activity in fish at JC. An increase in liver LPO was also observed in fish exposed to AP and JC. The same animals also exhibited increased DNA damage and erythrocyte nuclear abnormalities (ENAs) compared to the fish kept in GD. A number of compounds showed concentrations higher than the permitted levels, in particular, dichlorodiphenyltrichloroethane (DDT) its metabolites dichlorodiphenyldichloroethylene (DDE) and dichlorodiphenyldichloroethane (DDD) hexachlorocyclohexanes (HCH) heptachloride, diclofluanid and aldrins. These pesticides were detected at higher concentrations in water and sediment samples from AP, followed by JC and GD. The Integrated Biomarker Response Index (IBR) indicated that AP and JC (AP: 21.7 JC: 18.5 GD: 12.6) have the worst environmental quality. Integrated biomarker analysis revealed that the alterations observed related well with the levels of environmental contaminants, demonstrating the effectiveness of this biomonitoring approach.
Congestion control in VANETs using re routing algorithm
Venue: 2016 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET)

VANETs are a kind of adhoc wireless network, which is characterised as restricted topology patterns, node mobility and dynamic in nature. Vehicles communicate with each other via Vehicle to Vehicle (V to V) Vehicle to roadside unit (RSU) and RSU to Base Station. Every vehicle is equiped with on board unit (OBU) that helps to communicate with RSU and Base Station. Routing is very important in communication to establish reliable path between the vehicles. In this paper we will discuss the re routing algorithm for congestion control and heuristic shortest path algorithm AOMDV for routing and compare it with LIEMRO optimal routing protocol.
Ortaogretim Kimya Dersi Ogretim Programi Kazanimlarinin Yapilandirilmis Bloom Taksonomisine Gore Analizi ve Degerlendirilmesi

Bu calismada Ortaogretim Kimya Dersi Ogretim Programi kazanimlarinin Yapilandirilmis Bloom Taksonomisi'ne gore analizi ve degerlendirilmesi nitel arastirma yontemlerinden dokuman inceleme teknigi kullanilarak yapilmistir. Yapilan calismanin, Kimya Dersi Ogretim Programdaki kazanimlarin iceriginin butuncul olarak anlasilmasina katki saglayacagi dusunulmektedir. Yapilandirilmis Bloom Taksonomisine gore kazanimlarin incelenmesi uc asamada gerceklestirilmistir. Birinci asama, Yapilandirilmis Bloom Taksonomisi boyutlarinda ortak bir dusunce gelistirebilmek amaciyla 9. Sinif "Kimya Bilimi" unitesi kazanimlari arastirmacilar tarafindan oncelikle bireysel olarak yapilandirilmis Bloom Taksonomisine gore cozumlenmis ve daha sonra yapilan cozumlemeler arasindaki farkliliklar tartisilarak ortak bir yargiya varilmaya calisilmistir. Ikinci asamada ise diger kazanimlar arastirmacilar arasinda paylastirilarak cozumlenmistir. Son asamada ise yapilan cozumlemeler icerisinden rastgele ornekler secilmis, arastirmacilar arasi gorus birligi ve ayriligi tespit edilerek calismanin guvenirligi hesaplanmistir. Guvenirlik katsayisi .81 bulunmustur. Kimya Dersi Ogretim Programi, Bilgi Boyutu acisindan incelendiginde kazanimlarin %25'i olgular bilgisi, %59'u kavramlar bilgi, %11'i islemler bilgi ve %5'i ustbilissel bilgi; Bilissel Surec Boyutu acisindan incelendiginde kazanimlarin %7'si hatirlama, %67'si anlama, %5'i uygulama, %20'si cozumleme, %1'i degerlendirme basamaklarina karsilik geldigi belirlenmistir. Ancak yaratma basamagina yonelik bir kazanim tespit edilmemistir.
PEMASARAN TERNAK DOMBA DI PASAR HEWAN PALASARI KABUPATEN INDRAMAYU

Penelitian dilakukan di Pasar hewan Palasari Indramau Jawa Barat, penentuan data dilakukan dengan metoda survey lapang dipasar hewan, pengambilan data dilakukan melalui wawancara terhadap 10 pedagang kecil, 10 pedagang besar, 10 calo ternak domba dan konsumen ternak domba, data primer dan data skunder dianalisis secara diskriptif dan kuantitatif. Tujuan tulisan ini adalah untuk mengetahui rantai pemasaran ternak domba di pasar hewan Palasari Indramayu. Hasil Penelitian rantai pemasaran ternak domba mempunyai 3 (tiga) mata rantai hingga pada konsumen akhir, pada masing masing mata rantai memiliki margin pemasaran tersendiri, yaitu rantai pemasaran I, II dan III, masing masing rantai pemasaran menentukan nilai share, dengan keuntungan yang berbeda, diperoleh rantai pemasaran I pedagnag kecil nilai share sekitar 2%/ekor, rantai pemasaran II pedagang besar nilai share sekitar 2%/ekor dan rantai pemasaran III para calo nilai share sekitar 1,5%/ekor. Rantai pemasaran I pedagang kecil nilai jual ternak domba jantan dewasa awal sekitar Rp 2.300.000/ ekor dan nilai jual akhir pada konsumen sekitar Rp 2.476.815/ ekor, dengan peningkatan nilai harga sekitar Rp 128.813.38/ekor, rantai pemasaran II pedagang besar nilai jual ternak domba jantan dewasa awal sekitar Rp 2.392.920/ekor dan nilai jual akhir pada konsumen sekitar Rp 2.428.813,8/ekor, dengan peningkatan nilai harga sekitar Rp 128.813.38/ekor dan rantai pemasaran III calo nilai jual ternak domba jantan dewasa awal sekitar Rp 2.346.000/ekor dan nilai jual akhir pada konsumen sekitar Rp 2.428.813,8/ekor, dengan peningkatan nilai harga sekitar Rp 35.893,8/ekor.
Using The Borsuk Ulam Theorem Lectures On Topological Methods In Combinatorics And Geometry

USING THE BORSUK ULAM THEOREM LECTURES ON TOPOLOGICAL METHODS IN COMBINATORICS AND GEOMETRY CORRECTE PDF Are you looking for using the borsuk ulam theorem lectures on topological methods in combinatorics and geometry correcte Books? Now, you will be happy that at this time using the borsuk ulam theorem lectures on topological methods in combinatorics and geometry correcte PDF is available at our online library. With our complete resources, you could find using the borsuk ulam theorem lectures on topological methods in combinatorics and geometry correcte PDF or just found any kind of Books for your readings everyday.
Syntactic analyses and named entity recognition for PubMed and PubMed Central up to the minute
Venue: BioNLP@ACL

Although advanced text mining methods specifically adapted to the biomedical domain are continuously being developed, their applications on large scale have been scarce. One of the main reasons for this is the lack of computational resources and workforce required for processing large text corpora. In this paper we present a publicly available resource distributing preprocessed biomedical literature including sentence splitting, tokenization, part of speech tagging, syntactic parses and named entity recognition. The aim of this work is to support the future development of largescale text mining resources by eliminating the time consuming but necessary preprocessing steps. This resource covers the whole of PubMed and PubMed Central Open Access section, currently containing 26M abstracts and 1.4M full articles, constituting over 388M analyzed sentences. The resource is based on a fully automated pipeline, guaranteeing that the distributed data is always up to date. The resource is available at https:/turkunlp.
Camel Milk Ameliorates Hyperglycemia Mediated Hyperlipidemia and Oxidative Stress on Streptozotocin Induced Diabetic Rats

The present study aimed to assess the hypoglycaemic effects of camel milk (CM) and its efficiency on dyslipidaemia and altered antioxidant defence system in streptozotocin diabetic albino rats. The animals were divided into 2 categories; the pre treated and the treated groups. Raw CM (33 ml/kg b. w. administered daily by oral cannula for 2 weeks pre and after diabetes induction for pre treated group and 2 weeks only after diabetes induction for treated group. The current study revealed that camel milk administration in pre treated and treated groups revealed marked significant amelioration on hyperglycaemia, hypoinsulinaemia, hyperlipidaemia, impaired antioxidant defence mechanisms and modulation of PPAR g and GLUT4 genes expression as compared to the untreated diabetic rats. These findings revealed the hypoglycaemic effects of camel milk against STZ induced diabetes through potentiating insulin secretion, modulating PPARg and GLUT4 expressions and also by hypolipidaemic, potent antioxidant effects.
Hope as a Mediator of the Link Between Intimate Partner Violence and Suicidal Risk in Turkish Women: Further Evidence for the Role of Hope Agency
Venue: Journal of interpersonal violence

The present study examined hope as a potential mediator of the association between intimate partner violence (IPV) and suicidal risk, namely, depression and suicide ideation, in a sample of 149 Turkish female college students. Results from conducting bootstrapped mediation analyses indicated that hope agency, but not hope pathways, mediated the link between IPV and suicidal risk in Turkish women. Importantly, the associations of IPV with both depression and suicide ideation became nonsignificant once hope was included in the prediction model. Some implications of the present findings for hope theory and practice in the context of IPV victimization among Turkish women are discussed.
Bilateral stress fracture of femoral neck in non athlete case report
Venue: Revista brasileira de ortopedia

Bilateral stress fracture of femoral neck in healthy young patients is an extremely rare entity, whose diagnostic and treatment represent a major challenge. Patients with history of hip pain, even non athletes or military recruits, should be analyzed to achieve an early diagnosis and prevent possible complications from the surgical treatment. This report describes a 43 year old male patient, non athlete, without previous diseases, who developed bilateral stress fracture of femoral neck without displacement. He had a late diagnosis; bilateral osteosynthesis was made using cannulated screws. Although the diagnosis was delayed in this case, the study highlights the importance of the diagnosis of stress fracture, regardless of the activity level of the patients, for the success of the treatment.
Competitive online algorithms for geographical load balancing in data centers with energy storage
Venue: E2DC@e Energy

Geographical load balancing takes advantage of the regional differences in dynamic electricity rates by shifting computing tasks among geographically distributed data centers. Since energy storage is becoming an integral part of data centers, one can maximize the benefit of the temporal and spatial fluctuations of electricity rates by combining geographical load balancing and energy storage management. Previously, the problem of integrated geographical load balancing with energy storage has been studied based on Lyapunov stochastic optimization approach, which relies on asymptotic analysis by averaging over infinite time horizon and arbitrarily large energy storage. In this paper, we present a competitive online algorithmic approach, which can be applied to finite time horizon and small to medium energy storage with a worst case guarantee from the offline optimal solutions. By simulations on real world data, it is observed that our competitive online algorithms can significantly outperform Lyapunov optimization algorithm.
Insight into the Iron Molybdenum Cofactor of Nitrogenase from Synthetic Iron Complexes with Sulfur, Carbon, and Hydride Ligands.
Venue: Journal of the American Chemical Society

Nitrogenase enzymes are used by microorganisms for converting atmospheric N2 to ammonia, which provides an essential source of N atoms for higher organisms. The active site of the molybdenum dependent nitrogenase is the unique carbide containing iron sulfur cluster called the iron molybdenum cofactor (FeMoco) On the FeMoco, N2 binding is suggested to occur at one or more iron atoms, but the structures of the catalytic intermediates are not clear. In order to establish the feasibility of different potential mechanistic steps during biological N2 reduction, chemists have prepared iron complexes that mimic various structural aspects of the iron sites in the FeMoco. This reductionist approach gives mechanistic insight, and also uncovers fundamental principles that could be used more broadly for small molecule activation. Here, we discuss recent results and highlight directions for future research. In one direction, synthetic iron complexes have now been shown to bind N2, break the N N triple bond, and produce ammonia catalytically. Carbon and sulfur based donors have been incorporated into the ligand spheres of Fe N2 complexes to show how these atoms may influence the structure and reactivity of the FeMoco. Hydrides have been incorporated into synthetic systems, which can bind N2, reduce some nitrogenase substrates, and/or reductively eliminate H2 to generate reduced iron centers. Though some carbide containing iron clusters are known, none yet have sulfide bridges or high spin iron atoms like the FeMoco.
Rational construction of functional molybdenum (tungsten) copper sulfur coordination oligomers and polymers from preformed cluster precursors.
Venue: Chemical Society reviews

The investigation of heterometallic Mo(W) M' S clusters (M' transition metals) has its genesis in the late 1970s with the identification of the nitrogenase iron molybdenum cofactor (FeMoco) featuring a Mo Fe S double cubane cluster core. This has led to the generation of a library of cluster skeletons subsequently used as building blocks for oligomers (OGs) and polymers, merging this field with the fascinating developments in supramolecular chemistry and coordination polymers (CPs) While resembling the general metal ligand assembly to form CPs in one pot, cluster based OGs or CPs are conventionally prepared from Mo(W) S synthons and Cu(i) salts in the presence of bridging ligands. This review summarizes the synthesis of Mo(W) Cu S cluster supported OGs and CPs through a two step strategy involving preformed clusters. This stepwise approach facilitates clean conversion, and is amenable to exquisite design protocols and yields products otherwise inaccessible via a direct one pot method. We review the synthesis of OGs and CPs by cluster core upgrading, downgrading, ligand substitution, and cluster aggregation reactions, together with the optical and host guest properties of the products. In doing so, we demonstrate the power and generality of this strategy for assembling these unique materials and offer clues on how to adapt this less practiced method to preparing extended molecular assemblies with potentially intriguing properties.
Isolation of phosphate solubilizing fungi from rhizosphere soil and its effect on seed growth parameters of different crop plants

A total of twenty two rhizospheric fungi were isolated from different healthy crop plants of Hassan, Karnataka, India and tested for its efficacy to solubilize phosphates in PKV medium. Among the isolates, Penicillium sp. RFUOM 14 solubilized phosphates by producing clear halo zone around the colony. Further, Penicillium sp. RFUOM 14 inducers were treated for different crop plants and observed that the treatments enhanced seed germination and seedling vigor. Among the treatments, conidial suspension treated for 6 h showed maximum of 86% 80% and 83% of seed germination and seedling vigor 985.25, 523 and 673.5 in pearl millet, brinjal and tomato, respectively.
Alignment Based Neural Machine Translation
Venue: WMT

Neural machine translation (NMT) has emerged recently as a promising statistical machine translation approach. In NMT, neural networks (NN) are directly used to produce translations, without relying on a pre existing translation framework. In this work, we take a step towards bridging the gap between conventional word alignment models and NMT. We follow the hidden Markov model (HMM) approach that separates the alignment and lexical models. We propose a neural alignment model and combine it with a lexical neural model in a loglinear framework. The models are used in a standalone word based decoder that explicitly hypothesizes alignments during search. We demonstrate that our system outperforms attention based NMT on two tasks: IWSLT 2013 German English and BOLT Chinese English. We also show promising results for re aligning the training data using neural models.
Hypertension A Silent Killer

Hypertension is main health concern in many countries. It is major contributor for cardiovascular diseases and stroke, the leading cause of death today. Its prevalence vary among various regions of the world. Hypertension has five types like primary, secondary, malignant, gestational and white coat. Its symptoms include dizziness, neck pain, blurred vision, nose bleeding, vomiting, anxiety and chest pain. There are several causes for hypertension like biological, genetics, sedentary lifestyle, socioeconomic issues, various drugs and diseases and irregular sleep. Medications should use to treat hypertension but as medicines have certain side effects so there are some natural herbs having hypotensive property like Kudzu, garlic, celery, hawthorns, lavender, basil and many others. Knowledge about hypertension and its problems is not only necessary for the patient but should also be conveyed to common people of both low and high living standard. It is vital for all of us to realize the seriousness of hypertension as a disease because it is a multifactorial disorder. To increase awareness about hypertension among common people proper awareness campaigns are the need of time.  BP Blood Pressure ANS Autonomic Nervous System ACEI Angiotens
Learning to Communicate with Deep Multi Agent Reinforcement Learning
Venue: NIPS

We consider the problem of multiple agents sensing and acting in environments with the goal of maximising their shared utility. In these environments, agents must learn communication protocols in order to share information that is needed to solve the tasks. By embracing deep neural networks, we are able to demonstrate end to end learning of protocols in complex environments inspired by communication riddles and multi agent computer vision problems with partial observability. We propose two approaches for learning in these domains: Reinforced Inter Agent Learning (RIAL) and Differentiable Inter Agent Learning (DIAL) The former uses deep Q learning, while the latter exploits the fact that, during learning, agents can backpropagate error derivatives through (noisy) communication channels. Hence, this approach uses centralised learning but decentralised execution. Our experiments introduce new environments for studying the learning of communication protocols and present a set of engineering innovations that are essential for success in these domains.
How DBS Bank Pursued a Digital Business Strategy
Venue: MIS Q. Executive

Business digitalization is changing the competitive landscape in many industries. Digitally savvy customers are demanding more while threats of digital disruptions from new entrants are rising. The full article describes how DBS, a large Asian bank, responded to digital threats and opportunities by adopting a digital business strategy. It identifies the capabilities needed and provides lessons for organizations aspiring to pursue a successful digital business strategy. Most organizations respond to new digital threats and opportunities in an ad hoc manner within some organizational functions, but there is a growing sense that functionally oriented initiatives fail to maximize the potential of digital business strategy. To respond effectively to the threats and opportunities arising from digitalization, companies need a more holistic and integrated approach that develops capabilities in the areas of leadership, operations, customer needs and innovation. This is the approach followed by DBS.
LA ORIENTACION VOCACIONAL Y LA ELABORACION DE LOS PROYECTOS PERSONALES DE VIDA. TENDENCIAS Y ENFOQUES

Una de las problematicas mas acuciantes en el nivel de bachillerato de la educacion escolarizada en Ecuador consiste en las insuficiencias existentes en su proceso formativo para el logro de una orientacion vocacional efectiva de los estudiantes, lo que incide negativamente en la eleccion incorrecta de las carreras universitarias, motivada en muchos casos por factores disimiles e incoherentes con una decision consciente fundamentada en un adecuado conocimiento de si mismo, de sus potencialidades, oportunidades, limitaciones e inclinaciones. En el articulo se analizan las diversas tendencias y enfoques existentes respecto a la orientacion vocacional y su relacion con la elaboracion de proyectos personales de vida de los estudiantes de bachillerato. PALABRAS CLAVE: orientacion vocacional; proyectos de vida; nivel de bachillerato; carreras universitarias; tendencias y enfoques.  One of the most pressing problems in the high school education level in Ecuador consists of the insufficiencies existing in its training process to achieve an effective vocational orientation of students, which negatively affects the incorrect choice of university careers, motivated in many cases by dissimilar and inconsistent factors with a conscious decision based on an adequate knowledge of itself, its potentialities, opportunities, limitations and inclinations. This article analyzes the different trends and approaches regarding vocational guidance and its relation to the development of personal life projects for high school students.  vocational guidance; Life projects; Baccalaureate level; University careers; Trends and approaches.