nils-herrmann/clean_scirepeval huggingface dataset:
Mindfulness based treatment approaches clinician's guide to evidence base and applications
Year: 2006

Eastern spiritual traditions have long maintained that mindfulness meditation can improve well being. More recently, mindfulness based treatment approaches have been successfully utilized to treat anxiety, depressive relapse, eating disorders, psychosis, and borderline personality disorder. This book discusses the conceptual foundation, implementation, and evidence base for the four best researched mindfulness treatments: mindfulness based stress reduction (MBSR) mindfulness based cognitive therapy (MBCT) dialectical behavior therapy (DBT) and acceptance and commitment therapy (ACT) All chapters were written by researchers with extensive clinical experience. Each chapter includes the conceptual rationale for using a mindfulness based treatment and a review of the relevant evidence base. A detailed case study illustrates how the intervention is implemented in 'real life' exploring the clinical and practical issues that may arise and how they can be managed. This book will be of use to clinicians and researchers interested in understanding and implementing mindfulness based treatments. It offers a comprehensive introduction to the best researched mindfulness based treatments. It covers wide range of problems disorders (anxiety, depression, eating, psychosis, personality disorders, stress, pain, relationship problems, etc) It discusses a wide range of populations (children, adolescents, older adults, couples) It includes wide range of settings (outpatient, inpatient, medical, mental health, workplace) It also includes clinically rich, illustrative case study in every chapter. International perspectives are represented (authors from US, Canada, Britain, Sweden)
THE EFFECT OF CORIANDER LEAVES EXTRACT ON THE DEGREE OF WISTAR RATS LIVER MICROSCOPIC DAMAGE WAS GIVEN MERCURIC CHLORIDE ORALLY
Year: 2020

Mercury is a heavy metal that is widely used in various aspects of human life. However, mercury exposure can damage the liver. The high antioxidant found in coriander leaves is expected to be a solution to the problem in preventing liver damage due to mercury exposure.  Proving that administration of coriander leaf extract can reduce the degree of wistar rats liver microscopic damage due to mercury exposure.  Experimental study with post test only control group design for 14 days, used 24 male Wistar rats, divided randomly into 4 groups C C (given mercury orally 10 mg kgBW) X1 given mercury orally 10 mg kgBW and coriander leaf extract 100 mg kgBW) and X2 (given mercury orally 10 mg kgBW and coriander leaf extract 200 mg kgBW) On the 15th day, rats were terminated, the livers were harvested, microscopic preparations were made and stained with Hematoxylin Eosin. Observed with a magnification of 400x in 5 different fields of view of each sample and were assessed using Manja Roenigk's score.  Were obtained normal, mild damage, moderate damage, and severe damage respectively in the group: C 80% 20% 0% 0% C 0% 3% 67% 30% X1: 47% 33% 17% 3% X2: 77% 23% 0% 0% Spearman test found significant correlation (p 0,000) with storng correlation r 0.781) and the direction between the two variables is negative Kruskal Wallis test found significant differences (p 0,000) Continued Mann Whitney test found significant differences between groups C with C (0,000) C with X1 (0.004) C with X1 (0,000) C with X2 (0,000) and X1 with X2 (0.007) and the difference is not significant between C and X2 (0.756)  Giving coriander leaves extract can reduce the degree of microscopic damage of Wistar rat liver due to mercury exposure.
Structured optimal transmission control in network coded two way relay channels
Venue: EURASIP J. Wirel. Commun. Netw.
Year: 2015

This paper considers a transmission control problem in network coded two way relay channels (NC TWRC) where the relay buffers randomly arrived packets from two users, and the channels are assumed to be fading. The problem is modeled by a discounted infinite horizon Markov decision process (MDP) The objective is to find an adaptive transmission control policy that minimizes the packet delay, buffer overflow, transmission power consumption and downlink error rate simultaneously and in the long run. By using the concepts of submodularity, multimodularity and L convexity, we study the structure of the optimal policy searched by dynamic programming (DP) algorithm. We show that the optimal transmission policy is nondecreasing in queue occupancies and/or channel states under certain conditions such as the chosen values of parameters in the MDP model, channel modeling method, and the preservation of stochastic dominance in the transitions of system states. Based one these results, we propose to use two low complexity algorithms for searching the optimal monotonic policy: monotonic policy iteration (MPI) and discrete simultaneous perturbation stochastic approximation (DSPSA) We show that MPI reduces the time complexity of DP, and DSPSA is able to adaptively track the optimal policy when the statistics of the packet arrival processes change with time.
Overcoming the curse of dimensionality in the numerical approximation of Allen Cahn partial differential equations via truncated full history recursive multilevel Picard approximations
Venue: J. Num. Math.
Year: 2020

One of the most challenging problems in applied mathematics is the approximate solution of nonlinear partial differential equations (PDEs) in high dimensions. Standard deterministic approximation methods like finite differences or finite elements suffer from the curse of dimensionality in the sense that the computational effort grows exponentially in the dimension. In this work we overcome this difficulty in the case of reaction diffusion type PDEs with a locally Lipschitz continuous coervice nonlinearity (such as Allen Cahn PDEs) by introducing and analyzing truncated variants of the recently introduced full history recursive multilevel Picard approximation schemes.
Fast Inference of Deep Neural Networks for Real time Particle Physics Applications
Venue: FPGA
Year: 2019

Machine learning methods are ubiquitous and have proven to be very powerful in LHC physics, and particle physics as a whole. However, exploration of such techniques in low latency, low power FPGA (Field Programmable Gate Array) hardware has only just begun. FPGA based trigger and data acquisition systems have extremely low, sub microsecond latency requirements that are unique to particle physics. We present a case study for neural network inference in FPGAs focusing on a classifier for jet substructure which would enable many new physics measurements. While we focus on a specific example, the lessons are far reaching. A compiler package is developed based on High Level Synthesis (HLS) called HLS4ML to build machine learning models in FPGAs. The use of HLS increases accessibility across a broad user community and allows for a drastic decrease in firmware development time. We map out FPGA resource usage and latency versus neural network hyperparameters to allow for directed resource tuning in the low latency environment and assess the impact on our benchmark Physics performance scenario For our example jet substructure model, we fit well within the available resources of modern FPGAs with latency on the scale of 100~ns.
Pensamiento estrategico como perspectiva para la gerencia en las organizaciones del siglo XXI
Year: 2017

El dinamismo que esta sucediendo en el entorno organizacional a causa de innumerables factores, tales como: la apertura economica, la globalizacion, la tecnologia, entre otros; esta incidiendo de manera directa a las organizaciones del siglo XXI, exigiendo niveles altos de competitividad. Para tal efecto se adopta una estrategia de investigacion cualitativa basada en el metodo interpretativo propuesto por Kockelmans, J (2006) el cual se fundamenta en la tecnica de analisis de contenidos de material bibliografico y revistas especializadas. Si bien es cierto que en la actualidad, existen numerosos retos gerenciales, tambien es cierto que ninguno de ellos alcanzaria el exito sin un pensamiento estrategico de sus directivos para la formulacion de estrategias como base en los procesos de planificacion organizacional. En tal sentido, es fundamental que cuenten en su seno con un personal gerencial visionario, creativo y efectivo. Es decir, un gran estratega con habilidades para enfrentar los cambios del entorno, lograr resultados optimos con el menor margen de resistencia y el apoyo de sus colaboradores, para de esta manera enfrentar la dificil tarea de pensar y gestionar de forma acertada el proceso estrategico conjugando el conocimiento, evaluando las diferentes alternativas en el momento de planear estrategicamente en las empresas. Palabras claves: Organizaciones; Pensamiento estrategico; Estrategias; Conocimiento.
Ottawa to Bangkok: changing health promotion discourse.
Venue: Health promotion international
Year: 2007

The discourse of the 2005 Bangkok Charter for Health Promotion in a Globalized World represents a radical departure from that of the Ottawa Charter that, in 1986, staked a place for the health promotion field in mainstream public health. Via a critical analysis of the discourse in these two Charters, this paper illustrates a shift from a 'new social movements' discourse of ecosocial justice in Ottawa to a 'new capitalist' discourse of law and economics in Bangkok. The Bangkok Charter's content may identify 'actions, commitments and pledges required to address the determinants of health in a globalized world through health promotion' but this paper shows how its discourse works to naturalize and perpetuate many of detrimental determinants associated with 'globalization'
REPREZENTAREA SOCIALA A NASTERII IN CONTEXT ROMANESC
Year: 2020

Studiul isi propune sa exploreze o serie de factori care influenteaza formarea reprezentarii sociale (RS) a nasterii in context romanesc. Pornind de la acest obiectiv, ne am propus sa raspundem la urmatoarea intrebare: in ce masura genul biologic, prezenta vs. absenta copiilor in/din cuplu, manipularea experimentala printr un text pozitiv vs. negativ influenteaza formarea RS a nasterii la romani? Astfel, cercetarea de fata implica un design comparativ si masoara dimensiunea afectiva a reprezentarii sociale a nasterii. Participantii la studiu au fost subiecti de gen feminin si masculin, casatoriti si necasatoriti, manipulati experimental printr un text pozitiv sau negativ. Rezultatele au relevat faptul ca: variabilele prezenta copiilor in familie si manipularea experimentala au avut un efect principal asupra formarii RS a nasterii, in timp ce variabila genul biologic nu a jucat un rol la fel de important in formarea reprezentarii sociale a nasterii. Indiferent de gen, subiectii care au copii au prezentat afecte mai pozitive privind RS a nasterii, comparativ cu subiectii care nu au copii. Pe de o parte, tipul de manipulare (pozitiv vs. negativ) a avut un efect semnificativ asupra variabilei dependente, comparativ cu grupul de control, iar, pe de alta parte, influente semnificative s au regasit mai cu seama in randul subiectilor care nu au copii. Subiectii din conditia manipulare pozitiva au prezentat afecte pozitive semnificativ mai ridicate in ceea ce priveste RS a nasterii comparativ cu subiectii din conditia manipulare negativa.  The study proposes to explore a range of factors that influence the formation of social representation (SR) of birth in the Romanian context. Based on this goal we set out to answer the following question: to what extent the biological gender, the presence vs. absence of children into/from the couple, the experimental manipulation through a positive vs. negative texts influence the formation of SR of the birth of the Romanians? Thus, the present research involves comparative design and measuring the affective dimension of SR. Participants in the study were female and male, married and unmarried subjects, experimentally manipulated by positive or negative texts. The results showed that presence of children in the family and experimental manipulation variables had a main effect on the formation of social representations of birth, while biological gender did not play an important role in shaping the social representation of the birth. Regardless of gender the subjects who have children presented more positive affects about SR of birth than subjects who don't have children. On the one hand, the type of manipulation (positive vs. negative) had a significant effect on the dependent variable compared with control group. On the other hand, a significant influence was found rather at subjects who don't have children. Subjects from positive manipulation condition presented significantly higher positive affects in terms of social representation of birth compared with subjects under the condition of negative manipulation.
A Research on the Adaptation Translation Strategies of the Culture loaded Words from the Perspective of the Intercultural Communication
Year: 2021

The translation quality of the culture loaded words of the Chinese literary work plays a significant role in the intercultural communication between China and the West. With Howard Goldblatt's translation of Mo Yan's Red Sorghum as a case study, this paper puts forward the translation strategies of the culture loaded words from the perspective of the intercultural communication with Verschueren's adaptation theory as the theoretical basis. The author of this paper intends to prove the explanatory power of this theory, its feasibility and necessity so as to provide some effective ways to improve the translation quality of the Chinese literary works.
Design And Development Of Multi Stream Cloud Forensic Technique
Year: 2019

A proposed multi stream forensic technique for performing forensic investigations in an electronic system includes capturing and associating multiple streams of information. The multi streams refer network stream, storage stream, and virtual stream. The network stream contains a record of network activities such as traffic data, server logs, host activities details, and firewall data so on. A storage stream refers to data of storage media such as hard disk, memory, flash drive, and network area storages which record both read and write activities. A virtual stream refers to data of virtual machines, virtual servers, virtual memory, virtual drives and related sources. A comprehensive summary logs can be obtained with each network, storage, and virtual activities coordinated during particular time. To enable investigation for finding the suspicious events across network, storage, and virtual domains multi stream forensic technique has been proposed. It achieves cloud security breach investigation and recovery. Proposed framework refers multiple stream sources and logs for investigation through identifying the footprint and recovering the data.
Multiscale Features Supported DeepLabV3+ Optimization Scheme for Accurate Water Semantic Segmentation
Venue: IEEE Access
Year: 2019

In the task of using deep learning semantic segmentation model to extract water from high resolution remote sensing images, multiscale feature sensing and extraction have become critical factors that affect the accuracy of image classification tasks. A single scale training mode will cause one sided extraction results, which can lead to "reverse" errors and imprecise detail expression. Therefore, fusing multiscale features for pixel level classification is the key to achieving accurate image segmentation. Based on this concept, this paper proposes a deep learning scheme to achieve fine extraction of image water bodies. The process includes multiscale feature perception splitting of images, a restructured deep learning network model, multiscale joint prediction, and postprocessing optimization performed by a fully connected conditional random field (CRF) According to the scale space concept of remote sensing, we apply hierarchical multiscale splitting processing to images. Then, we improve the structure of the image semantic segmentation model DeepLabV3+ an advanced image semantic segmentation model, and adjust the feature output layer of the model to multiscale features after weighted fusion. At the back end of the deep learning model, the water boundary details are optimized with the fully connected CRF. The proposed multiscale training method is well adapted to feature extraction for the different scale images in the model. In the multiscale output fusion, assigning different weights to the output features of each scale controls the influence of the various scale features on the water extraction results. We carried out a large number of water extraction experiments on GF1 remote sensing images. The results show that the method significantly improves the accuracy of water extraction and demonstrates the effectiveness of the method.
A multi level influence model of COVID 19 themed cybercrime
Venue: Eur. J. Inf. Syst.
Year: 2020

The recent severity and frequency of cybercrime has been dominated by a single theme the COVID 19 pandemic. This research develops a multi level influence model to explore how cybercriminals are exploiting the COVID 19 pandemic by assessing situational factors, identifying victims, impersonating trusted sources, selecting attack methods, and employing social engineering techniques. The model extends upon prior work on influence techniques and emotional appeals that cybercriminals employ, by bringing into sharper focus the role of situational factors in COVID 19 related cybercrime attacks. Content and thematic analysis was conducted on 185 distinct COVID 19 cybercrime scam incident documents, including text, images, and photos, provided by a global online fraud and cybersecurity company tracking COVID 19 related cybercrime. The analysis reveals interesting patterns about the sheer breadth and diversity of COVID 19 related cybercrime and how these crimes are continually evolving in response to changing situational factors. It is hoped that these insights and recommendations for end users and organisations can contribute to a safer digital world as we cope with many other pressing challenges during the COVID 19 pandemic.
Self Presentation 2.0
Year: 2018

Enhanced innovations in Internet and social media applications, especially the development of Web 2.0, have made Facebook so appealing to users, especially young adults who spend hours making themselves endearing to others. Nigeria is one of the countries with the largest population of Facebook users in Africa, however, limited evidence exists from Nigerian perspective. To close this void, this work explored the links of 380 young university students' self presentation behaviour on Facebook. Goffman's self presentation model approach was adopted and the findings show intense Facebooking is significantly correlated with low self esteem. Also, a significant but negative correlation was found between users' estimated number of Facebook friends and self esteem, suggesting that the larger the size of an individual user's Facebook friends estimate the lower his or her self esteem can be. Because this study was exploratory, follow up studies should adopt mixed methods to provide further evidence on the effects of low self esteem arising from youth's Facebook use behaviours.
Performance Improvement of Accumulate Repeat Accumulate Codes with Bounded Complexity
Venue: 2015 IEEE 82nd Vehicular Technology Conference (VTC2015 Fall)
Year: 2015

In this paper, we introduce a new family of codes named as systematic spatially coupled accumulate repeat accumulate SC ARA codes based on chain of interconnected proto graphs over the binary erasure channels (BEC) It has been observed that Spatially coupled low density parity check (SC LDPC) codes are able to approach the capacity universally across the binary input memoryless (BMS) channels. A density evolution (DE) analysis is provided for this class of codes which categorized by bounded density and/or complexity per information bit. Simulation results show that the spatially coupling of ensembles of ARA codes, with bounded density and/or complexity, drives the message passing belief propagation decoding threshold (BP) to be closed to the maximum a posterior (MAP) threshold of the underlying codes over the BEC.
Profile of a Narcissistic Leader: Coffee's for Closers Only
Year: 2014

In the past, leadership scholars have tended to focus on leadership as a force for good and productivity (Ashworth, 1994; Higgs, 2009; Padilla, Hogan, Kaiser, 2007) However, recently attention has been given to the 'dark side' of leadership (see Higgs, 2009; Judge, Piccolo, Kosalka, 2009) The aim of this chapter is to explore dark leadership from the perspective of the narcissistic leader using a fictional character from a popular film.  Using the Diagnostic and Statistical Manual of Mental Disorders, 4th edition, 1994 (DSM IV) (American Psychiatric Association, 2000) as an operational definition of narcissistic personality disorder we explore the psychology of the narcissistic leader through a fictional character study in a popular film.  We have created a psychological profile of a narcissistic leader which identifies specific behavioural characteristics within a toxic organizational culture.  This study has implications for employees within any organizational culture. It is significant because it can illustrate how dark leadership can impact negatively within organizations.  The use of actual living persons on which to base case study material in the study of dark leadership is problematic and constrained by ethical issues. However, the use of characters in fiction, such as contemporary film and drama, represents an excellent source of case study material. Given that little empirical works exists on narcissistic leaders and leadership, the chapter adds originality and value to the field.
ANALISA BIBLIOMETRIK PUBLIKASI ILMIAH BERTEMA BIOREFINERI BIOMASSA BERLIGNOSELULOSA
Year: 2020

Keluasan spectrum potensi produk yang dapat dihasilkan dari proses biorefineri biomassa berlignoselulosa telah merupakan unsur pendorong utama berkembangnya penelitian serta publikasi ilmiah dengan topik biorefineri lignoselulosa. Artikel ini disusun dengan tujuan menganalisa bibliometri publikasi ilmiah dengan topik biorefineri biomassa berlignoselulosa yang diterbitkan pada berbagai jurnal yang terindeks scopus pada tahun 2000 2019. Analisa bibliometrik dilakukan menggunakan VOSviewer untuk menganalisa co authorship berdasarkan nama penulis dan afiliasi penulis, serta analisa co occurrence berdasar kata kunci. Hasil analisa bibliometrik ditampilkan menggunakan visualisasi jaringan, hamparan dan kerapatan. Hasil analisa bibliometrik terkait kekuatan tautan kolaborasi penulis berdasarkan afiliasinya, berdasar nama penulisnya serta kekuatan tautan kemunculan kata kunci pada publikasi publikasi ilmiah dengan topik biorefineri biomassa berlignoselulosa yang diterbitkan pada berbagai jurnal yang terindeks scopus pada tahun 2000 2019 disajikan dalam artikel ini. Hasil kajian menunjukkan jika kekuatan tautan kolaborasi penulis didominasi oleh kolaborasi antara penulis yang berafiliasi dari negara China dan Amerika. Hasil analisa bibliometri menggunakan VOSviewer juga mampu menampilkan kekuatan tautan kolaborasi penulisan artikel yang memiliki lebih dari 15 dokumen publikasi ilmiah adalah Bao, J dan Zhang, J. Visualisasi kerapatan serta visualisasi hamparan kekuatan tautan kata kunci mampu memberikan gambaran kecenderungan fokus penelitian bertema biorefineri biomassa berlignoselulosa yang telah dilakukan dari tahun 2000 2019. Kata kunci: bibliometrik, biorefineri, lignoselulosa, VOSviewer, Scopus