nils-herrmann/clean_scirepeval huggingface dataset:
Bioetica en sexualidad y reproduccion humana
Year: 2017

Ethics intended to shape the conditions and balance the development of the principles that then defined laws and helped create a world of rights that enthroned in some European societies; they established in their areas the control to the abuses that monarchies had established since immemorial times and which were then gradually replaced by democracy. The proposal of the WHO in 2006 orients the need to care for and educate on human sexuality. For this recognition sexual right was key and paramount. Among other trends bioethics tends to express a rather tolerant view against the radical positions that set clear limits to behaviors beyond what 'nature' could have established. Bioethics can bring in aspects of human reproduction. The reproductive process presents a formidable challenge to the doctor, because the challenges that science impose modified the fecundation related most sensitive concepts, embryo development and birth, that apply in an extraordinary way to contraception, in vitro fertilization, cloning, therapeutic abortion and related methods that undoubtedly established a challenge to concepts of morality prevalent to the theological and moral adaptation of societies.
KINERJA PORTOFOLIO SAHAM BERDASARKAN STRATEGI INVESTASI MOMENTUM PADA INDEKS KOMPAS100
Venue: E Jurnal Manajemen Universitas Udayana
Year: 2019

The purpose of this study was to determine the performance of the stock portfolio using the momentum investment strategy on the Kompas100 index. The scope of this research area are companies incorporated in the Kompas100 Index listed in the Indonesia Stock Exchange for the period 2012 2017. The number of samples used was 53 samples. The method of data collection is done through non participant observation and using two different test analysis techniques on average. Based on the results of data analysis it was found that the results of the two different test averages of Sharpe Index on the winner's portfolio get insignificant results and the loser portfolio gets significant results. This made no momentum but a contrarian strategy, where the loser portfolio measured by the Sharpe Index significantly decreased during the ownership period of 3, 6, 12 months and made the loser portfolio suffer prolonged losses. The results of this study reflect that contrarian strategy is a strategy used by investors to expect a reversal of stock returns at a certain time period, namely the rate of return that is initially positive or negative is expected to experience a reversal in a certain period of time.  stock portfolio performance, momentum investment strategy, Kompas100 index.
Analysis and Design Implementation of Modulator p/4 Differential Quadrature Phase Shift Keying Low Power Based on FPGA
Venue: 2020 International Conference on Smart Technology and Applications (ICoSTA)
Year: 2020

Wireless communication systems require peripherals with low power consumption and ease in the process of receiving signals for efficiency purposes. The p/4 DQPSK modulation scheme has an effective demodulation concept because it does not require phase synchronization on the receiving system (non coherent) This study aims to implement the p/4 DQPSK modulator in full digital FPGA to increase power efficiency and noise resistance. The experimental hierarchy begins with the design of the modulator simulation on the Simulink Matlab then the next step is the implementation of the Altera Cyclone IV FPGA. Evaluation of the constellation symbol from simulation results and comparison of demodulation outcome with initial input pulses can represent that the p/4 DQPSK modulator architecture is optimal. The application of the p/4 DQPSK modulator on FPGA has produced binary output corresponding to the symbol constellation magnitude value and low BER (Bit Error Rate) performance in the signal to noise ratio range of 20dB to 10dB.
A Neural Attention Model for Abstractive Sentence Summarization
Venue: EMNLP
Year: 2015

Summarization based on text extraction is inherently limited, but generation style abstractive methods have proven challenging to build. In this work, we propose a fully data driven approach to abstractive sentence summarization. Our method utilizes a local attention based model that generates each word of the summary conditioned on the input sentence. While the model is structurally simple, it can easily be trained end to end and scales to a large amount of training data. The model shows significant performance gains on the DUC 2004 shared task compared with several strong baselines.
Estudio del grado de aplicacion de la seguridad integral en las empresas de la Region de Murcia
Year: 2011

El estudio se inicia con una sintesis, en el primer capitulo, sobre el origen historico y evolucion de la seguridad para, seguidamente y a partir del concepto tradicional de seguridad, adentrarnos en el nuevo concepto de este termino que nos llevara al pretendido de seguridad integral, exponiendo cuales son las situaciones habituales en las que se encuentran los bienes de una empresa, que es un sistema de seguridad y cuales son las funciones basicas que debe cumplir un sistema de seguridad para, posteriormente, aplicarlo especificamente al ambito empresarial, A continuacion se realiza, en el segundo capitulo, una breve descripcion dela poblacion objeto de estudio con una perspectiva muy general la economia, los sectores productivos y el ambito empresarial de la Region de Murcia, presentando para ello informacion sobre su organizacion geografica, los principales aspectos de su estructura productiva, las empresas existentes y su distribucion segun el sector de actividad principal y el numero de trabajadores. En segundo lugar, se expone en este mismo capitulo, el proceso que se ha seguido en el estudio para establecer el dominio de empresas que sera posteriormente objeto de estudio; para ello, se analizan las empresas de Murcia en funcion de su tamano y de la normativa legal concreta a la que estan sujetas un grupo especifico de las mismas debido a los riesgos especiales que les afectan, y ello nos permitira determinar cual es exactamente el dominio de empresas que se van a estudiar. En el tercer capitulo se expone la metodologia seguida para el diseno de una muestra estratificada y para la determinacion del tamano de la misma y de cada uno de los estratos. Tambien se describe el contendio de la encuesta que se ha confeccionado para la obtencion de la informacion de las empresas a observar, mediante entrevistas personales, a si como la justificacion de las preguntas incluidas en el cuestionario. La encu
A brave new world for archaeological survey: Automated machine learning based potsherd detection using high resolution drone imagery
Year: 2019

Archaeological pedestrian survey is one of the most popular techniques available for primary detection of archaeological sites and description of past landscape use. As such it is an essential tool not just for the understanding of past human distribution, economy, demography and so on but also for cultural heritage management and protection. The most common type of pedestrian surface survey consists of fieldwalking relatively large tracts of land, recording the dispersion of items of material culture, predominantly pottery fragments, by teams of archaeologists and students. This paper presents the first proof of concept for the automated recording of material culture dispersion across large areas using high resolution drone imagery, photogrammetry and a combination of machine learning and geospatial analysis that can be run using the Google Earth Engine geospatial cloud computing platform. The results show the potential of this technique, under appropriate field circumstances, to produce accurate distribution maps of individual potsherds opening a new horizon for the application of archaeological survey. The paper also discusses current limitations and future developments of this method.
Studies on Allelopathic Effect of Aqueous Leaf Extract of Putranjiva Roxburghii Wall. on Seed Germination and Early Growth of Chickpea (Cicer Arietinum L.
Venue: Indian Journal Of Agricultural Research
Year: 2019

The present study reveals the allelopathic effect of aqueous leaf extracts of Putranjiva roxburghii Wall. on seed germination and early growth stages of an economically important plant chickpea (Cicer arietinum L. Aqueous leaf extracts at 0, 5, 10, 15, 25, 35, 50, 75 and 100% concentrations were applied to determine their effect on seed germination and early growth stages under laboratory conditions. Laboratory based experiments with three replicates were used to arrange treatments accordingly. After 5 days of incubation the rate of seed germination, radicle length and hypocotyls length etc. of chickpea seeds were observed after treatment with aqueous leaf extracts. Highest inhibitory effect was noticed in 100% of aqueous leaf extract. Results indicated that the inhibitory effect was proportional to the concentration of the extracts. The water soluble leaf extracts contain allelochemicals, which inhibit the seed germination and reduced the early growth of chickpea.
Music Signals Beat Tracking Based on Bidirectional Long Short Term Memory
Venue: 2019 International Electronics Symposium (IES)
Year: 2019

In this research we developed a music signals beat tracking based on Bidirectional Long Short Term Memory (BLSTM) method. Predicting the beat of music is one of the Music Information Retrieval (MIR) research field. Humans can find the beats of the music automatically, like when we clap our hands or stomp our feet. Finding the beats of the music is a difficult task for machine or actuator. The music signal must be processed first to get the beats pattern as the time sequence. Various methods were proposed at the feature extraction, pattern recognition, and peak detection stages. BLSTM is applied to the magnitude spectrogram as the music feature which obtained from the feature extraction stage, and then to estimate the tempo we use autocorrelation as the peak detection stage. We used the ISMIR 2012 dataset as the training data and 10 songs of Ballroom and GTZAN dataset which has different musical character for each dataset as the testing data. The accuracy is proven by the calculation of f measure as a standard evaluation of beat tracking on music signals. The result shows that for the training data reach 86.3% f measure accuracy, Ballroom data 73.4% and GTZAN 65%
High Fidelity Grasping in Virtual Reality using a Glove based System
Venue: 2019 International Conference on Robotics and Automation (ICRA)
Year: 2019

This paper presents a design that jointly provides hand pose sensing, hand localization, and haptic feedback to facilitate real time stable grasps in Virtual Reality (VR) The design is based on an easy to replicate glove based system that can reliably perform (i) a high fidelity hand pose sensing in real time through a network of 15 IMUs, and (ii) the hand localization using a Vive Tracker. The supported physics based simulation in VR is capable of detecting collisions and contact points for virtual object manipulation, which drives the collision event to trigger the physical vibration motors on the glove to signal the user, providing a better realism inside virtual environments. A caging based approach using collision geometry is integrated to determine whether a grasp is stable. In the experiment, we showcase successful grasps of virtual objects with large geometry variations. Comparing to the popular LeapMotion sensor, we demonstrate the proposed glove based design yields a higher success rate in various tasks in VR. We hope such a glove based system can simplify the data collection of human manipulations with VR.
Consumption based on Mindful Mindset: A Solution to Plastic Pollution
Year: 2021

Plastic pollution is one of the most visible problems in many regions, especially in developing Asian and African countries, which lack of proper garbage collection systems. Everyone in societies need to work together in dealing with plastic pollution. The purpose of this article is to examine how plastic pollution effects human and environmental well being, to study the influence of mindfulness on consumption behaviours, and to explore how mindful consumption contributes to the reduction of plastic pollution and brings ecological sustainability. Documentary study and literature review were used for data collection. Plastic pollution has become one of the most serious problems around the world, especially during the spread of COVID 19 due to the increase of single use plastic waste. Results showed that plastic pollution causes many major long term effects to human and ecosystem including the food chain changes, contagious diseases and respiratory diseases, polluted land, water, and air due to toxic chemicals residue. With mindful mindset, individuals will have a sense of caring and thinking about the future and the consequences of their actions towards themselves, community, and nature, so they behave and make decisions with the aim of increasing a consumer's personal, economic, and social well being to an optimal level. Mindful consumption, consciousness in thought and behavior about the implications and consequences of consumption, is a consumption framework guiding consumers to make their choices with the care of self and community while conserving environmental, personal and economic well being. Thus, mindful consumption can be considered as sustainable consumption pattern and it can make a great contribution to reduction of plastic pollution and sustainable development.
Methodology of "14 7" Program: A Longitudinal Follow Up Study of the Pediatric Population and Their Families Exposed to the Terrorist Attack of Nice on July 14th, 2016
Venue: Front. Psychiatry
Year: 2019

After a traumatic event, children and adolescents may present several clinical consequences, the most common being Post Traumatic Stress Disorder (PTSD) Most children and adolescents with PTSD have comorbid disorders, such Attention Deficit Hyperactivity Disorder, depression, attachment and anxiety disorders, sleep disturbances and behavior problems. However, epidemiological studies on the development of PTSD and other psychiatric disorders in children and adolescents as a consequence of a terrorist attack and mass murder are lacking. Long term follow up of exposed children and adolescents will help identify risk and protective factors of developing psychiatric and psychological conditions after exposure to traumatic events or situations. The main objective of this article is to present the methodology of "14 7" program. The aim of "14 7" program is to characterize the risk and protective psychosocial factors affecting the clinical evolution of a pediatric population sample, exposed to the terrorist attack of July 14th, 2016 in Nice.  "14 7" program is a multicentre longitudinal cohort study. Major inclusion criteria are children and adolescents exposed to the terrorist attack and aged under 18 years on July 14th, 2016. These children and adolescents will be compared to a non exposed to the "14 7" terrorist attack group, matched on age and gender. Participants will be assessed at baseline (T1) 2 years (T2) and 5 years (T3) after the initial assessment (T1) and every 5 years until they are 25 years old. Multiple domains are assessed: 1) mental health disorders, 2) intensity of PTSD symptoms, 3) intensity of comorbid symptoms, 4) quality of the parent child relationship, 5) intelligence quotient, 6) parental symptoms. We will also establish a biological collection of saliva samples, magnetic resonance imaging (MRI) and actigraphy data collection. Main analyses comprise analyses of variance and regression analyses of predictors of clinical evolution over time. Ethics and Dissemination: The National Ethics Committee "NORD OUEST III" approved the "14 7" Program protocol (number 2017 A02212 51) All patients and their caregivers signed informed consent on enrolment in the "14 7" Program. Inclusions started on November 21st, 2017. Three hundred thirty five individuals have been included (191 children and adolescents, 144 parents)
Bill as settlement and credit Instruments: payment, guarantee of amortization, regress
Year: 2017

the bill is a security, the amortization of the financial liability is against the only bill, that creditor exhibit to debtor. Exactly the creditor must apply with the original bill to the debtor to amortize the obligation, because it is impossible to reverse. The place of amortization the financial obligations of the bill is the domicile. Failure to present a bill for payment at all, implies the cessation of obligations only regress (spare) debtors, however, the main financial obligation of the debtor the acceptor of a bill of transfer or the ordinary bill continues to exist. Transferable promissory of the bills increased due to the fact, that the payment of a bill may be provided (financially backed by, guaranteed) by surety. Intention of research to reveal the rules of payment, guarantee of amortization, regress on the bills. Methods used in combination methods of scientific knowledge, including basic methods of historicism, systematic analysis and comparative law.  payment is done properly the payment of the entire bill's amount, the non payment of the amount equivalent to denial of payment for this part. When a bill is submitted for payment, but it does not pay the debtor, the creditor may request the bill from him in court as the debtor owns them illegally. After receiving the bill back to the creditor, the billholder is able to exercise their rights in relation to regress (spare) debtors. End of the bill's financial liability possibly even on the grounds that correspond to civil law: it can be a ladder of counter claims, as well as the provision of compensation. Commercial banks are the most active subjects bill relations.  payment of a bill must be promoted properly, then the promissory bill's financial liability ended. Payment of a bill can be provided surety all or part of the bill amount, which reflects the clear text while writing this surety.
cDNA array reveals increased expression of glucose dependent insulinotropic polypeptide following chronic clozapine treatment: role in atypical antipsychotic drug induced adverse metabolic effects
Venue: The Pharmacogenomics Journal
Year: 2006

Clozapine is an atypical antipsychotic drug with unique pharmacological and therapeutic properties. Unlike the typical antipsychotic drug, haloperidol, clozapine does not cause extrapyramidal side effects; however, weight gain, dyslipidemia, and type II diabetes are commonly associated with the use of this drug in subjects with schizophrenia. The aim of this study was to profile gene expression in the rat striatum following clozapine treatment. Chronic treatment with clozapine revealed upregulation of several genes including the glucose dependent insulinotropic polypeptide (GIP) gene by over 200% in the rat striatum. The cDNA array results for the GIP gene were confirmed by real time RT PCR as well as by radioimmunoassay. Expression of the GIP gene in the central nervous system is consistent with the results of retinal GIP gene expression as reported by other investigators. Taken together, these findings implicate the possible role of GIP as a neuromodulator in the central nervous system. GIP is an insulinotropic agent with stimulatory effects on insulin synthesis and release from the pancreas. However, changes in brain GIP levels are most likely unrelated to the metabolic adverse effects (dyslipidemia, type II diabetes, weight gain) associated with clozapine treatment. Therefore, we also measured GIP gene expression in the K cell rich regions, duodenum and jejunum (small intestine) and plasma GIP levels using radioimmunoassay following chronic treatment with clozapine. GIP mRNA levels in the small intestine and the plasma GIP at the protein level were significantly elevated in clozapine treated subjects. Furthermore, as observed in humans, chronic clozapine treatment also caused weight gain, and increased levels of insulin, triglycerides and leptin in the plasma. These results suggest that adverse metabolic effects associated with clozapine treatment may be related to its ability to increase intestinal gene expression for GIP.
CATISMA YONETIM STRATEJILERININ IZLENIM YONETIMI TAKTIKLERINE ETKISI: UNIVERSITE OGRENCILERI UZERINE BIR ARASTIRMA
Year: 2014

Bu calismanin amaci organizasyonlarda surekli var olan catisma ve catismanin yonetim stratejileri ile calisanlarin kullandiklari izlenim yonetimi taktikleri arasindaki iliskiyi ortaya cikarmaktir. Bu anlamda bir kamu ya da ozel sektor kurulusunda calisan 171 yuksek lisans ogrencisi uzerinde, catisma yonetim stratejileri ile izlenim yonetimi taktikleri arasindaki iliski arastirilmistir. Arastirmada, Rahim tarafindan gelistirilen Rahim Organizational Inventory II (ROCI II) ve Bolino ve Turnley (1999) tarafindan gelistirilen ve Basim (2006) tarafindan Turkcelestirilen Izlemin Yonetimi Taktikleri olcekleri kullanilmistir. Verilerin degerlendirilmesi, korelasyon ve regresyon analizleri ile yapilmistir. Elde edilen bulgular, uzlasmanin izlenim yonetimi taktiklerinden tehdit ve kendini sevdirme ile anlamli iliskisi bulunmustur. Ayrica, hukmetmenin, tehdit ve ise sahip cikma ile tumlestirmenin, kendini sevdirme ile ise sahip cikma ile anlamli iliskisi bulunmustur. Kacinmanin ise hicbir izlenim yonetimi taktigi ile anlamli bir iliskisine rastlanmamistir
Gene networks provide a high resolution view of bacteriophage ecology
Year: 2017

Bacteriophages are the most abundant and diverse biological entities on the planet, and new phage genomes are being discovered at a rapid pace from metagenomes. As more novel, uncultured phage genomes are published, new tools are needed for placing these genomes in an ecological and evolutionary context. Phages are difficult to study with phylogenetic methods, because they exchange genes regularly, and no single gene is conserved across all phages. Instead, genome level networks have been used to group similar viruses into clusters for taxonomy. Here, we show that gene level networks provide a high resolution view of phage genetic diversity and offer a novel perspective on virus ecology. To that end, we developed a method that identifies informative associations between a phage's annotated host and clusters of genes in the network. Given these associations, we were able to predict a phage's host with 86% accuracy at the genus level, while also identifying genes that underlie these virus host interactions. This approach, thus, provides one of the most accurate means of host prediction while also pointing to directions for future empirical work.
Deep learned faces of pain and emotions: Elucidating the differences of facial expressions with the help of explainable AI methods
Venue: tm Technisches Messen
Year: 2019

Deep neural networks are successfully used for object and face recognition in images and videos. In order to be able to apply such networks in practice, for example in hospitals as a pain recognition tool, the current procedures are only suitable to a limited extent. The advantage of deep neural methods is that they can learn complex non linear relationships between raw data and target classes without limiting themselves to a set of hand crafted features provided by humans. However, the disadvantage is that due to the complexity of these networks, it is not possible to interpret the knowledge that is stored inside the network. It is a black box learning procedure. Explainable Artificial Intelligence (AI) approaches mitigate this problem by extracting explanations for decisions and representing them in a human interpretable form. The aim of this paper is to investigate the explainable AI methods Layer wise Relevance Propagation (LRP) and Local Interpretable Model agnostic Explanations (LIME) These approaches are applied to explain how a deep neural network distinguishes facial expressions of pain from facial expressions of emotions such as happiness and disgust.