nils-herrmann/clean_scirepeval huggingface dataset:
Reversal of paracentral occlusive retinopathy in a case of sickle cell disease using exchange transfusion.
Venue: Ophthalmic surgery, lasers imaging retina
Year: 2013

Paracentral occlusive retinopathy is an uncommon manifestation of sickle cell disease. If macular ischemia is not reversed, permanent vision loss can result. The authors report the successful use of exchange transfusion to treat unilateral paracentral occlusive retinopathy secondary to sickle cell disease in a 23 year old man with hemoglobin SS disease. Initial presentation demonstrated arteriolar occlusion, perivenous hemorrhages, vessel tortuosity, and areas of retinal ischemia. Visual acuity was count fingers, and the patient noted a paracentral scotoma. Following transfusion, there was restoration of arteriolar flow as documented with fluorescein angiogram, and visual acuity returned to 20/20.
Borderline personality disorder and substance use disorders: an updated review
Venue: Borderline Personality Disorder and Emotion Dysregulation
Year: 2018

For decades, clinicians and researchers have recognized that borderline personality disorder (BPD) and substance use disorders (SUDs) are often diagnosed within the same person (e.g. (Gunderson JG. Borderline personality disorder: A clinical guide. Washington,  2001; Leichsenring et al. Lancet 377:74 84, 2011; Paris J. Borderline personality disorder: A multidimensional approach. American Psychiatric Pub, 1994; Trull et al.  2000) Previously, we documented the extent of this co occurrence and offered a number of methodological and theoretical explanations for the co occurrence (Trull et al.  2000) Here, we provide an updated review of the literature on the co occurrence between borderline personality disorder (BPD) and substance use disorders (SUDs) from 70 studies published from 2000 to 2017, and we compare the co occurrence of these disorders to that documented by a previous review of 36 studies over 15 years ago (Trull et al.  2000)
Reducing the network overhead of user mobility induced virtual machine migration in mobile edge computing
Venue: Softw. Pract. Exp.
Year: 2019

With the popularity of mobile devices (such as smartphones and tablets) and the development of the Internet of Things, mobile edge computing is envisioned as a promising approach to improving the computation capabilities and energy efficiencies of mobile devices. It deploys cloud data centers at the edge of the network to lower service latency. To satisfy the high latency requirement of mobile applications, virtual machines (VMs) have to be correspondingly migrated between edge cloud data centers because of user mobility. In this paper, we try to minimize the network overhead resulting from constantly migrating a VM to cater for the movement of its user. First, we elaborate on two simple migration algorithms (M All and M Edge) and then, two optimized algorithms are designed by classifying user mobilities into two categories (certain and uncertain moving trajectories) Specifically, a weight based algorithm (M Weight) and a mobility prediction based heuristic algorithm (M Predict) are proposed for the two types of user mobilities, respectively. Numerical results demonstrate that the two optimized algorithms can significantly lower the network overhead of user mobility induced VM migration in mobile edge computing environments.
A Group Recommendation Approach Based on Neural Network Collaborative Filtering
Venue: 2019 IEEE 35th International Conference on Data Engineering Workshops (ICDEW)
Year: 2019

At present, the most popular recommendation algorithms belong to the class of latent factor models(LFM) Compared with traditional user based and item based collaborative filtering methods, the latent factor model effectively improves recommendation accuracy. In recent years, deep neural networks have succeeded in many research fields, such as computer vision, speech recognition, and natural language processing. However, there are few studies combining recommendation systems and deep neural networks, especially for group recommendation. Some academic studies have adopted deep learning methods, but they mainly use it to process auxiliary information, such as acoustic features of sounds, and semantic analysis of texts, the inner product is still used to deal with latent features of users and items. In this paper, we first obtain the nonlinear interaction of latent feature vectors between users and projects through multi layer perceptron(MLP) and use the combination of LFM and MLP to achieve collaborative filtering recommendation between users and items. Secondly, based on the individual's recommendation score, a fusion strategy based on Nash equilibrium is designed to ensure the average satisfaction of the group users. Our experiments are conducted on the Track 1 of KDD CUP 2012 public data set, taking the square root mean square error(RMSE) as the evaluation index. The experiment compares the traditional LFM optimization model, the MLP model and the LFM MLP hybrid model in individual recommendation, and compares the strategy proposed in this paper with the traditional three single group strategies, the most pleasure, the average strategy and the least misery. The experimental results show that the proposed method can effectively improve the accuracy of group recommendation.
Research of model of Quantum Learning Vector Quantization Neural Network
Venue: Proceedings of 2011 International Conference on Electronic Mechanical Engineering and Information Technology
Year: 2011

This paper has been studied in Quantum Learning Vector Quantization Neural Network. The concept of competition and model of competitive network has been studied. It analyses model of Quantum Learning Vector Quantization Neural Network and LVQ algorithm. Quantum Learning Vector Quantization Neural Network is a hybrid neural network and quantum computing theory is used in the Quantum Learning Vector Quantization Neural Network directly to build Quantum Learning Vector Quantization Neural Network. Model of Quantum Learning Vector Quantization Neural Network and Quantum LVQ algorithms are proposed. In the study of clustering problem, experiments show that Quantum Learning Vector Quantization Neural Network have an advantage over than Learning Vector Quantization Neural Network.
L'orientation sexuelle, facteur de suicide et de conduites a risque chez les adolescents et les jeunes adultes l'influence de l'homophobie et de la victimation homophobe en milieu scolaire
Year: 2011

De nombreuses recherches, principalement nord americaines, ont mis en evidence un lien significatif entre orientation sexuelle et comportements suicidaires des adolescent e s jeunes adultes (Beck al. 2010) L'homophobie a laquelle les jeunes homo/bisexuel le s sont expose e s est consideree comme l'hypothese la plus serieuse pour expliquer ce lien, mais, jusque la, cette hypothese n'avait jamais fait l'objet d'une recherche quantitative dans notre pays. Nous l'avons prise en compte dans le cadre d'une enquete realisee sur la base d'un auto questionnaire informatise compose notamment a partir des echelles Adolescent Risk inventory (A.R.I, Lescano al. 2007) Suicidal Behaviors Questionnaire Revised (SBQ r, Linehan, 1989) et Homophobia Scale (Wright, Adams Bernat, 1999) auquel ont repondu 475 filles et 426 garcons, age e s de 18 a 24 ans. Les resultats confirment la sursuicidalite des jeunes homo/bi sexuel le s. Cependant, dans les analyses menees aupres des participants de sexe masculin, l'orientation sexuelle n'apparait plus comme un predicteur significatif des tentatives de suicide et des conduites a risque dans les modeles explicatifs ou l'on introduit les variables <Victimation Verbale Homophobe en milieu scolaire> et <Victimation basee sur la Non conformite de genre> Ces variables s'averent d'ailleurs les plus forts predicteurs des comportements suicidaires chez les garcons. Ceux ci presentent des scores moyens a l'echelle d'homophobie/lesbophobie significativement plus eleves que les filles, et la victimation verbale homophobe semble beaucoup plus repandue que la victimation verbale lesbophobe. Cette derniere ne presente par ailleurs pas d'effet significatif sur les tentatives de suicide et les conduites a risque des filles. En revanche, la lesbophobie interiorisee a un effet significatif sur les comportements suicidaires dans le sous echantillon des filles attirees sexuellement par le meme sexe ou en questionnement (ASMSQ) alors que l'homophobie interiorisee n'en presente pas chez les garcons ASMSQ. Ce dernier resultat, base sur un plus faible effectif, demande a etre confirme par des recherches ulterieures tandis que les analyses portant sur l'ensemble des participants mettent en evidence l'ampleur de la victimation homophobe en milieu scolaire et son impact chez les adolescents et jeunes adultes de sexe masculin.
Strategi Komunikasi Pemasaran Digital Living Space Yogyakarta Pada Instagram Dalam Menumbuhkan Brand Awareness
Year: 2019

Penelitian ini dilakukan untuk mengetahui strategi komunikasi pemasaran digital di Instagram yang dilakukan oleh Living Space Yogyakarta dalam membangun brand awareness. Tujuan dari penelitian ini adalah untuk mendeskripsikan strategi komunikasi pemasaran digital Living Space Yogyakarta pada Instagram dalam menumbuhkan brand awareness. Penelitian ini merupakan penelitian kualitatif dengan pendekatan studi kasus. Sumber data pada penelitian ini yaitu data primer melalui in depth interview dengan informan yang berkaitan dengan objek penelitian dan data sekunder yang diperoleh melalui buku, jurnal, dan literatur literatur yang berhubungan dengan judul penelitian ini. Hasil dari penelitian ini menyatakan bahwa strategi komunikasi pemasaran digital yang dilakukan oleh Living Space di Instagram dilakukan melalui 5 tahapan SOSTAC, mulai dari melakukan situation analysis, untuk menentukan target pasar Living Space yaitu, laki laki dan perempuan, usia 17 25 tahu, pelajar dan mahasiswa, dan tinggal di Yogyakarta bagian Utara. Menentukan objective yaitu, untuk membangun brand awareness perusahaan melalui tercapainya 10.000 followers di akun Instagram yang dicapai dalam waktu satu tahun. Kemudian, menetapkan Instagram sebagai strategi komunikasi untuk mencapai tujuan. Memaksimalkan pemanfaatan fitur fitur Instagram dan melakukan kolaborasi sebagai taktik yang dimiliki. Kemudian, menerapkannya dalam bentuk action, dengan menerapkan strategi komunikasi pemasaran digital di Instagram. Pada tahap akhir Living Space menerapkan tahapan control melalui fitur Instagram insight. Strategi komunikasi pemasaran digital yang dilakukan oleh Living Space di Instagram sudah memenuhi tahapan SOSTAC tetapi belum berhasil membangun brand awareness yang tinggi, hal ini ditunjukkan dengan tidak tercapainya 10.000 followers di akun Instagram yang dimilikinya.
A MODEL OF THE PRISONIZATION PHENOMENON
Year: 2017

as a concept or theory of punishment, but as a functional tool used by the prison staff to control inmates. Most of the narrative from the father and son focuses on this topic. The differences between the two men's views are significant. The father used corporal punishment during his time because the prisoners were controlled through fear. Corporal punishment was swift, brutal, and unrecorded. The son, working in road camps, used physical violence selectively because of its pragmatic usefulness in controlling small groups of inmates; he relied more heavily on threats of violence to "con" the inmates. The grandson is a probation officer who has no use for corporal viosubcultural adaptations. See L. CARROLL, HACKS, BLACKS AND CONS 5 7 (1974)
Service Recovery via Social Media
Year: 2016

Social media channels are increasingly used by consumers to post complaints to companies. In contrast to traditional channels, the complaint and a firm's recovery efforts are visible to passive observers who are virtually present. Additionally, these unaffected users may become involved by supporting a complainant with negative comments or by supporting the firm with positive comments, leading to interactive virtual presence (VP) We reveal that such VP affects how a complainant reacts to successful and unsuccessful service recovery. Based on social influence theory (SIT) we investigate the influence of a mere VP as well as interactive VP of positive and negative valence on the complainant's satisfaction and purchase intentions and analyze the role of expertise of those who are virtually present. The results indicate that SIT is applicable to virtual environments but that restrictions apply. Specifically, mere VP enhances the effects of recovery success, but in contrast to SIT not the negative results of unsuccessful recovery, and interactive VP leads to attitude polarization. Moreover, high expertise individuals who engage in positive (negative) interactions after unsuccessful (successful) recovery are deleterious. When experts disconfirm successful recovery, they have higher credibility and reduce confidence in the firm. However, in contrast to SIT, experts trying to mitigate unsuccessful recovery are perceived as less credible, which also reduces confidence. Overall, if service recovery via social media is successful, firms will benefit from VP. However, caution is advised when using expert users who may interfere with service recovery processes.
COVID 19 y educacion a distancia digital: preconfinamiento, confinamiento y posconfinamiento
Year: 2020

La pandemia COVID 19 ha venido generando cambios y disrupciones en amplios sectores de la actividad humana. La educacion ha sido uno de los mas afectados debido a la imposicion administrativa del cierre total de los centros educativos en gran parte de los paises del mundo. La modalidad de educacion a distancia, fundamentalmente en soporte digital, vino a ofrecer soluciones de emergencia a dicha crisis. En este trabajo se lleva a cabo una reflexion sobre las percepciones previas al COVID 19 relativas a esta modalidad educativa. Posteriormente se aportan ideas sobre la forma en que se acometio mayoritariamente la respuesta educativa al confinamiento a traves de una educacion de emergencia en remoto que se alejaba considerablemente de lo apropiado en disenos y desarrollos de una educacion a distancia de calidad. Fueron muchos los errores cometidos y, por tanto, demasiadas las percepciones negativas por parte de muchos estudiantes, familias y docentes, bastantes de estos ultimos ya reacios previamente a estos formatos mas novedosos. Finalmente se aborda en el articulo la problematica mas reciente, relativa a los tiempos de posconfinamiento, en los que no se preve que en los centros presenciales todos los estudiantes puedan acudir a las aulas fisicas en el mismo espacio y tiempo. Se ofrecen sugerencias sobre como abordar esta problematica a traves de soluciones de hibridacion, de una ensenanza y aprendizaje mixtos, combinados o, mejor, integrados y flexibles.
Environmental taxes, energy consumption, and environmental quality: Theoretical survey with policy implications
Venue: Environmental Science and Pollution Research
Year: 2020

Improving energy efficiency and mitigating environmental problems through environmental regulations and taxes are considered as fundamental driving forces of climate change policies. However, the current literature on the theoretical and empirical evidence focusing on the inter linkages between environmental taxes, energy consumption, and environmental quality is rather meager. This article attempts to provide a detailed survey on the earlier literature for developed, developing, and emerging countries analysis by covering the literature up to 2020. The prime objective of this survey is the coverage of different level of economies, modeling, methodologies, time periods as well as empirical outcomes. The study mainly covers three types of causality direction: (i) environmental taxes, energy consumption, and energy efficiency; (ii) environmental taxes and environmental quality; (iii) energy consumption (renewables, non renewable, and fossil fuels) and environment deterioration. Most of the empirical studies reported that the energy usage for economic activities significantly affects the pollutant emissions. However, the role of environmental taxes is still ambiguous and demands a more in depth investigation. Comprehending the literature survey has provided the basis to address the policymaking, designing as well as the implementation of environmental regulations.
GENERAL GEOMORPHOLOGICAL FIELD OBSERVATIONS AROUND SATOPANTH GLACIER AREA, GARHWAL HIMALAYA, UTTARAKHAND
Year: 2018

Upper Alaknanda valley from the head wall of Satopanth glacier, till village Mana houses distinct geomorphology which is full of glacical, glacio fluvial and peri glacial features. Starting from village Mana a distinct Ushaped valley is observed, the valley wall has a sharp contact with the glacial trough line making vertical cliffs over which there are hanging valleys from which waterfalls pour their water into the valley floor. The trough line roughly denotes first glacial advancement stage of the valley. Moving further in the valley various features like fluvial terraces are observed along the river bank concealed under thick veneers of slope wash material forming talus fans through which river Alaknanda has carved a V shaped valley. The glacier out wash plain is filled with erratic boulders and other glaciogenic material like terminal and recessional moraines. The erosional and depositional features in this area indicate two more glacial advancements in this area. Further the valley takes sharp left turn with relatively steeper slope of 200 300 m after which snout and front of Satopanth glacier can be observed. Besides this numerous other features like lateral moraines, recessional moraines, supra glacial moraines, ablation valleys, lateral basins, supra glacial ponds, pro glacial lake, lateral basin lakes, crevasses and Patterned ground etc. are observed which were formed due to various glacial and peri glacial activities.
Factors predicting loss of cervical lordosis following cervical laminoplasty: A critical review
Venue: Journal of craniovertebral junction spine
Year: 2020

Laminoplasty is a method of posterior cervical decompression which indirectly decompresses the spinal column. Unfortunately, many patients undergoing laminoplasty develops postoperative loss of cervical lordosis (LCL) or kyphotic alignment of cervical spine even though they have sufficient preoperative lordosis which results in poor surgical outcome.  We would like to highlight the relationship between various radiological parameters of cervical alignment and postoperative LCL in patients undergoing laminoplasty.  We performed extensive literature search using PubMed, Google Scholar, and Web of Science for relevant articles that report factors affecting cervical alignment following laminoplasty.  On reviewing the literature, patients with high T1 slope have more lordotic alignment of cervical spine preoperatively. They also have more chances of LCL following laminoplasty. C2 C7 sagittal vertical axis (SVA) has no role in predicting LCL following laminoplasty though patients with low T1 slope =20deg) and high C2 C7 SVA >22 mm) had correction of kyphotic deformity following laminoplasty. C2 C7 lordosis, Neck Tilt, cervical range of motion, and thoracic kyphosis has no predictive value for LCL. Lower value of T1 slope (T1S CL) and CL/T1S has more incidence of developing LCL following laminoplasty. The role of C2 C3 disc angle has not yet been evaluated in patients undergoing laminoplasty. Dynamic extension reserve determines the contraction reserve of SPMLC and lower dynamic extension reserve is associated with higher chances of LCL following laminoplasty.  Cervical lordotic alignment is important in maintaining cervical sagittal balance which ultimately is responsible for global spinal sagittal balance and horizontal gaze. Among various radiological parameters, T1 Slope has been reported to be the most important factor affecting cervical alignment following laminoplasty.
Social Networks and Cultural Differences
Year: 2021

The purpose of this chapter is the comparison of social media strategy on Twitter and Sina Weibo by the German company Adidas. A successful social media campaign is pushing brand awareness and companies improve their focus on that. Due to the internet censorship of the Chinese government, the social media landscape in China differs from the Western world. Therefore, companies need cultural and linguistic know how to be successful on Chinese platforms like Sina Weibo. The chapter compares how Adidas uses Twitter and Sina Weibo for their marketing purpose. Cultural differences and the local adaption of their social media appearance will be presented.
User Characteristic Enhanced Model for Fake News Detection in Social Media
Venue: NLPCC
Year: 2019

In recent years, social media has become an ideal channel for news consumption while it also contributes to the rapid dissemination of fake news out of easy access and low cost. Fake news has detrimental effects both on the society and individuals. Nowadays, fake news detection in social media has been widely explored. While most previous works focus on different network analysis, user profiles of individuals in the news user network are proven to be useful yet ignored when analyzing the network structure. Therefore, in this paper, we aim to utilize user attributes to discover potential user connections in the friendship network with attributed network representation learning and reconstruct the news user network to enhance the embeddings of news and users in the news propagation network, which effectively identify those users who tend to spread fake news. Finally, we propose a unified framework to learn news content and news user network features respectively. Experimental results on two real world datasets demonstrate the effectiveness of our proposed approach, which achieves the state of the art performance.
Domain Specific Image Captioning
Venue: CoNLL
Year: 2014

We present a data driven framework for image caption generation which incorporates visual and textual features with varying degrees of spatial structure. We propose the task of domain specific image captioning, where many relevant visual details cannot be captured by off the shelf general domain entity detectors. We extract previously written descriptions from a database and adapt them to new query images, using a joint visual and textual bag of words model to determine the correctness of individual words. We implement our model using a large, unlabeled dataset of women's shoes images and natural language descriptions (Berg et al. 2010) Using both automatic and human evaluations, we show that our captioning method effectively deletes inaccurate words from extracted captions while maintaining a high level of detail in the generated output.