Miracle-dz/UniFAR-FTUs huggingface dataset:
Metabolic Therapy of Pancreatic Cancer

Pancreatic cancer is considered one of the most lethal forms of neoplasm, with a mortality/ incidence rate nearing 98% [1,2]. According to the American Cancer Society and the GLOBOCAN data base, managed by the International Association of Cancer Registries (http://globocan.iarc.fr), pancreatic cancer morbidity is increasing. In industrialized and developing countries, regardless of their ethnic group, the Age-Standardized Rate (ASR) fluctuates between 4.9 and 7.6 per 100,000 men and between 3.6 and 4.9 per 100,000 women, whilst the mortality rate closely follows those same figures. The uniformity of this phenomenon is validated by epidemiological data reported by culturally and ethnically different nations such as China [3], England/Wales [4], and Mediterranean countries [5], with an overall survival at around 4.1 months after diagnosis, and a one-year survival rate as low as 2.21% [6]. Usually relevant factors in the therapeutic outcome of other oncological pathologies -such as clinical presentation or the waiting period between diagnosis and beginning of treatmentdo not improve prognosis in exocrine pancreatic cancer cases [7]. Standard pancreatic cancer therapies consist in primary surgery (total or partial pancreatectomy, Whipple procedure –partial pancreaticoduodenectomy-, stent placement in the bile duct and/or chemotherapy and radiotherapy) [8]. Attempts to prolong survival by means of more aggressive surgery, in addition to some common procedures (such as the extended lymphadenectomy), not only fail to prolong life, but generally aggravate clinical condition [9].
D ec 2 01 8 Force spectroscopy analysis in polymer translocation

This paper reports the force spectroscopy analysis of a polymer that translocates from one side of a membrane to the other side through an extended pore, pulled by a cantilever that moves with constant velocity against the damping and the potential barrier generated by the reaction of the membrane walls. The polymer is modeled as a beads-springs chain with both excluded volume and bending contributions, and moves in a stochastic three dimensional environment described by a Langevin dynamics at fixed temperature. The force trajectories recorded at different velocities reveal two exponential regimes: the force increases when the first part of the chain enters the pore, and then decreases when the first monomer reaches the trans region. The spectroscopy analysis of the force values permit the estimation of the limit force to allow the translocation, related to the free energy barrier. The stall force to maintain the polymer fixed has been also calculated independently, and its value confirms the force spectroscopy outcomes.
Role of polysaccharides in food, digestion, and health

Polysaccharides derived from plant foods are major components of the human diet, with limited contributions of related components from fungal and algal sources. In particular, starch and other storage carbohydrates are the major sources of energy in all diets, while cell wall polysaccharides are the major components of dietary fiber. We review the role of these components in the human diet, including their structure and distribution, their modification during food processing and effects on functional properties, their behavior in the gastrointestinal tract, and their contribution to healthy diets.
Making Cents of Tick Sizes

Using limit order data provided by the NASDAQ and the recent SEC tick size pilot program, we examine how an increase in the minimum price variation affects market liquidity in small-cap securities. While both quoted spreads and depth increase with a change in the mandated tick size from one-cent to five-cents, cumulative depth and trading volume significantly decline. However, we find that the cost to trade relatively large quantities declines with an increase in the minimum tick size and the profitability of liquidity supplying trades increases. Our results suggest that traders submitting large orders are better off, while traders submitting small orders are unaffected by an increase in tick size. _________________________________________________________________________________
Asssessing Tax Incentives for Investment: A Case Study of Thailand

This study examines Thailand’s tax incentives for investment. It takes into account important tax provisions under standard and preferential treatments, and computes effective average tax rates (EATRs) applied to the country’s focused industries. It then compares Thailand’s EATRs with those of ASEAN peers. Such industry-specific lens is crucial since the tax benefits offered as well as the composition of investment assets can vary substantially between industries. It finds that, Thailand’s tax incentives are broadly comparable to those of its ASEAN peers. Under the maximum incentives, the EATRs range from 6-9% depending on the investment intensity in each industry. This suggests that, with the exception of targeted incentives for the biotech industry, there is not much need to expand tax or monetary incentives. The results also indicate that accelerated depreciation and investment tax allowances are two options that may perform better than tax holidays in term of minimizing the incentive redundancy.
Automated classification of primary progressive aphasia subtypes from narrative speech samples

In the early stages of neurodegenerative disorders, individuals may exhibit a decline in language abilities that is difficult to quantify with standardized tests. Careful analysis of connected speech can provide valuable information about a patient’s language capacities. However, this type of analysis has been limited in the past by its time-consuming nature. In this study, we present a method for evaluating and classifying connected speech in primary progressive aphasia (PPA) using computational techniques. Syntactic and semantic features are automatically extracted from transcriptions of narrative speech for three groups: semantic dementia (SD), progressive nonfluent aphasia (PNFA), and healthy controls. Features that vary significantly between the groups are used to train machine learning classifiers, which are then tested on held-out data. We achieve accuracies well above baseline on the three binary classification tasks. An analysis of the influential features shows that the computationally extracted measures agree well with previous findings in the PPA literature, suggesting that this method could have valuable applications to diagnosis and research.
The Effect of an Output-Packet Practice Tasks on the Proceduralization of Knowledge in Intermediate Iranian Foreign Language Learners

This study investigates the effect of output practice tasks on the acquisition of English modals. The acquisition is measured in terms of evaluating the comprehension and production proceduralized skills. A pretest posttest and delayed posttest design was used where the procedural knowledge was spec ifically operationalized through the groups’ performance on timed GJ and completion tests. Two intact classes of intermediate EFL learners were randomly assigned to treatment and control groups. The treatment group, here the output group (n= 27) received a) explicit grammar instruction, b) a combination of three output tasks including dictogloss, individual text reconstruction, and corrected-close translation , and c) feedback. The control group (n=25) were just exposed to the identical texts trough listening and reading tasks followed by some questions irrelevant to the target structure. Results showed that on the posttest, administered 10 days after the last treatment session, the output group outperformed the control group in both measures of procedural knowledge. Forty days later, the output group’s performance was still significantly better than that on the pretest. This group also succeeded in retaining its outperformance on both measures of procedural knowledge delayed posttest. The results may help language teachers design more effective activities for the learners considering the institutional constraints. Key w ords : Declarative knowledge, Proceduralization, Practice, Transfer of knowledge
Knowledge of sexually transmitted Infections among patients attending outpatient clinics at University Teaching Hospital, Ado-Ekiti, Nigeria

The study was designed to assess the level of knowledge of sexually transmitted infections and possible factors associated with knowledge of patients attending outpatient clinic in University Teaching Hospital, Ado-Ekiti, Nigeria. This is to enable appropriate advocacy targeted on at risk population so as to control sexually transmitted infections and prevent its complications in this environment. A cross sectional descriptive study was carried out on patients attending outpatient clinics of the hospital from February to July, 2010. All volunteered participants were given a self-administered structured questionnaire. Out of the 592 interviewed, 242 (40.9%) were males and 350 (59.1%) were females. Although, knowledge of sexually transmitted infections was high in the general population, especially among those with postsecondary school education (85.4%) and the drivers (90.9%), it was relatively low among the adolescents and the youths who are the most vulnerable in this environment (χ2 = 14.343; p < 0.05). News media was the highest source of information about Sexually Transmitted Infections. Age, educational level and the type of occupation appear to be important factors affecting knowledge. Therefore, health education about Sexually transmitted infections targeted at this risk group may yield positive result. Key words: Sexually transmitted infections (STI), knowledge, Ekiti, Nigeria, youths and adolescents.
Antalya Sağlık Yüksekokulu Hemşirelik Öğrencilerinin Memnuniyet Düzeyleri Ve Etkileyen Faktörler

Yuksekogretim kurumlarinda kalite gelistirme calismalarinin en onemli gostergelerinden biri, egitim hizmetinden yararlanan ogrencilerin memnuniyetinin degerlendirilmesidir. Bu calisma, Antalya Saglik Yuksekokulu Hemsirelik ogrencilerinin memnuniyet durumlarini etkileyen faktorleri incelemek amaciyla ileriye donuk arastirmanin birinci basamak verilerine temellenmektedir. Calisma 262 ogrenci ile yapilmistir.Arastirmanin verileri Kisisel Bilgi Formu ve Ogrenci Memnuniyet Olcegi – Kisa Formu ile toplanmistir. Arastirma kapsamina alinan ogrencilerin yas ortalamalari 21.11 ± 1.80 yil olup, % 36.6'sinin erkek oldugu, % 61.5'inin hemsirelik bolumunu isteyerek sectigi, % 30.5'inin sosyal etkinliklere, % 62.2'sinin bilimsel etkinliklere ve % 62.6'sinin ise ogrenci kuluplerine hic katilmadigi saptanmistir. Ogrencilerin "Ogrenci Memnuniyet Olcegi Kisa Form”undan aldiklari toplam puan ortalamasi 160.71 ± 37.39'dur. Ogrencilerin en memnun oldugu alanlar; egitim ogretimin niteligi ve ogretim elemanlaridir. Birinci sinif ogrencilerinin memnuniyetinin diger siniflara gore yuksek oldugu saptanmistir. Ogrencilerin memnuniyetini; ogrencinin yasi, sinifi, bolume iliskin duygulari, sosyal-bilimsel etkinliklere ve ogrenci kuluplerine katilim durumunun etkiledigi belirlenmistir. Tum egitim kurumlarinda ogrencilerin memnuniyet durumlari goz onune alinarak iyilestirmeler yapilmali, ogrencilerin memnuniyet duzeyleri her yil duzenli olarak olculmeli ve hangi alanlarda iyilestirme yapilmasi gerektigi saptanmalidir.
Tumor-In fi ltrating Lymphocytes and Prognosis : A Pooled Individual Patient Analysis of Early-Stage Triple-Negative Breast Cancers

Sherene Loi, MD; Damien Drubay, PhD; Sylvia Adams, MD; Giancarlo Pruneri, MD; Prudence A. Francis, MD; Magali Lacroix-Triki, MD; Heikki Joensuu, MD; Maria Vittoria Dieci, MD; Sunil Badve, MD; Sandra Demaria, MD; Robert Gray, PhD; Elisabetta Munzone, MD; Jerome Lemonnier, PhD; Christos Sotiriou, MD; Martine J. Piccart, MD; Pirkko-Liisa Kellokumpu-Lehtinen, MD; Andrea Vingiani, MD; Kathryn Gray, PhD; Fabrice Andre, MD; Carsten Denkert, MD; Roberto Salgado, MD; and Stefan Michiels, PhD
s it worth it to consider videogames in accounting education ? comparison of a simulation and a videogame in attributes , otivation and learning outcomes ordi

The objective of this study is to assess the effectiveness of videogames in comparison to simulations in a higher education environment and with regard to their attributes, motivation, and learning outcomes, as three of the main dimensions that play a role in the effectiveness of digital game-based learning. Results demonstrate significant differences between the attributes and motivation dimensions, while no significant differences were found for the learning outcomes. This would imply that although both instructional tools lead students to the desired level of knowledge acquisition, the motivation generated, together with the set of features provided by the games complement each other, leading to a superior learning experience. These results support the inclusion of videogames as a complement to simulations in higher education accounting and business environments and allow us to propose a blended approach that provides the learner with the ‘best of both worlds’. © 2016 ASEPUC. Published by Elsevier España, S.L. U. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). ¿Merece la pena considerar los videojuegos en la enseñanza de contabilidad? Comparación de una simulación y un videojuego respecto a atributos, motivación y resultados de aprendizaje
SDM-NET: Deep Generative Network for Structured Deformable Mesh

We introduce SDM-NET, a deep generative neural network which produces structured deformable meshes. Specifically, the network is trained to generate a spatial arrangement of closed, deformable mesh parts, which respect the global part structure of a shape collection, e.g., chairs, airplanes, etc. Our key observation is that while the overall structure of a 3D shape can be complex, the shape can usually be decomposed into a set of parts, each homeomorphic to a box, and the finer-scale geometry of the part can be recovered by deforming the box. The architecture of SDM-NET is that of a two-level variational autoencoder (VAE). At the part level, a PartVAE learns a deformable model of part geometries. At the structural level, we train a Structured Parts VAE (SP-VAE), which jointly learns the part structure of a shape collection and the part geometries, ensuring a coherence between global shape structure and surface details. Through extensive experiments and comparisons with the state-of-the-art deep generative models of shapes, we demonstrate the superiority of SDM-NET in generating meshes with visual quality, flexible topology, and meaningful structures, which benefit shape interpolation and other subsequently modeling tasks.
Who is the "Human" in Human-Centered Machine Learning

"Human-centered machine learning" (HCML) combines human insights and domain expertise with data-driven predictions to answer societal questions. This area's inherent interdisciplinarity causes tensions in the obligations researchers have to the humans whose data they use. This paper studies how scientific papers represent human research subjects in HCML. Using mental health status prediction on social media as a case study, we conduct thematic discourse analysis on 55 papers to examine these representations. We identify five discourses that weave a complex narrative of who the human subject is in this research: Disorder/Patient, Social Media, Scientific, Data/Machine Learning, and Person. We show how these five discourses create paradoxical subject and object representations of the human, which may inadvertently risk dehumanization. We also discuss the tensions and impacts of interdisciplinary research; the risks of this work to scientific rigor, online communities, and mental health; and guidelines for stronger HCML research in this nascent area.
Facial biostimulation with PRP activated with ozone resound on cellular redox balance, improves lipoatrophy and quality of life in HIV patients

Context: Pathogenic impact of high-grade local and systemic oxidative stress in antiretroviral treated HIV patients are recognized factor influencing in lipodystrophy, which is proposed can be ameliorate with platelet rich plasma (PRP). Aims: To determine the efficacy and safety of ozone and calcium activated PRP application in lipoatrophy- AIDS Cuban individuals. Methods: Thirty HIV individuals enrolled in quasi experimental prospective study showed lipoatrophy grade from 1 to 3. A mean volume interval of 8 to 22.2 mL of PRP was injected in 5 interventions during a year. The clinical, chemical, oxidative stress and progression indexes determinations were performed prior to injections and at 6 and 12 months after. Also, questionnaires based on Short Form 36, Medical Outcomes Study HIV Health Survey were assessed. Different statistical analyses were done comparing baseline respect final values of variables. Results: Beneficial improve of lipoatrophy grade (p<0.05) and stabilization in global indexes of damage and antioxidant status at the end of the study was demonstrated. The comparison revealed a significantly smaller damage and higher antioxidant status compared to baseline values (p<0.05). Non-significant modifications were observed in hematological and chemical indexes (p˃0.05), respect quality of life 75% of three dimensions improved and depressive symptoms decreased. Non-adverse reactions were observed during the study period. Conclusions: These results corroborate that beneficial amelioration of oxidative stress occurs in lipoatrophy AIDS patients during effective and safety PRP-ozone facial bioestimulation. Integral diagnosis would be worthwhile to conduct a more comprehensive study and manage of lipoatrophy.
Does TRX Training Reduce Injury Rates in Futsal Athletes, as Measured by the Functional Movement Screening Test?

Cite this article: Shavikloo J, Norasteh A. Does TRX Training Reduce Injury Rates in Futsal Athletes, as Measured by the Functional Movement Screening Test? Int J Sports Sci Med. 2019;3(2): 060-064. Copyright: © 2019 Shavikloo J, et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. International Journal of Sports Science & Medicine
Do Contented Customers Make Shareholders Wealthy? - Implications of Intangibles for Security Pricing

We explore the relation between customer satisfaction and security returns. Firms with high customer satisfaction levels earn significant abnormal returns. This result is robust to variations of model specification and test methodology. Additional tests do not reveal evidence of systematic mispricing. Our results rather suggest that there are, consistent with the model of Eisfeldt and Papanikolaou (2013), sources of risk not covered by standard risk factors. We identify firm characteristics, such as the Hoberg et al. (2014) product market fluidity measure, and macro variables, such as patenting activity and aggregate R&amp;D spending, that are related to these sources of risk.
Effect of age on amount and distribution of diffuse axonal injury after rotational trauma

Traumatic brain injuries (TBI) are a major public health problem in term of suffering and cost for society. About 40% of the TBI patients admitted to hospitals are non-focal injuries, usually referred to as distributed brain injuries (DBI). Studies have hypothesized that the resulting strains in the brain tissue are the primary cause of neurological deficiencies following DBI. These strains commonly appear when the skull is accelerated and the brain mass, due to its inertia, lags behind or continues its motion relative the skull. It has been suggested that the severity of the injury correlates with the amplitude of the angular acceleration, or with the resulting angular velocity. Among DBI, diffuse axonal injury (DAI) is common and regularly results in unconsciousness or death. Past studies have suggested DAI injury criteria and thresholds that can be used with crash test dummies and mathematical models of the human. However, these past studies have been performed with rather young animals. In addition, some studies have shown that brain properties change as we grow older; it is likely that this have an effect on the risk of DAI following a rotational head injury. Therefore, the aim of this study is to investigate the distribution of axonal injuries in the brain following sagittal plane rotation trauma and to determine if the injury threshold changes when the subjects grow older. In this study rats were exposed to sagittal plane rotational acceleration head trauma and the outcome studied using Amyloid Precursor Protein to detect axonal injuries. For relatively young animals, DAI were found in and along the border of the corpus callosum and in the brainstem when rotational acceleration exceeded 1.1 Mrad/s2. Slightly older animals required higher accelerations to exhibit similar injury levels and the injury patterns were different. We hypothesise that the lower injury scores for the older subjects could be due to differences in tolerance to tissue strains or, as indicated in the literature, that the differences were due to changes in the constitutive properties of the brain tissue. The latter suggests, in combination with the observed differences between older and younger individuals, that additional studies on brain tissue properties, and studies on rotational acceleration induced DAI, should be carried out using even younger and older animals than used in this study. In conclusion, a previous study showed that the onset of diffuse axonal injuries started to appear at 10 krad/s2 with a duration of 4 ms, when data were scaled for humans, whereas new data indicate that this onset is slightly higher for occupants that are approximately 15 years older.
Partial Identification and Inference in One-toOne Matching Models with Transfers ∗

We consider the one-to-one matching model with transfers of Choo and Siow (2006) and Galichon and Salanié (2015). When the analyst has data on one large market only, we study identification of the preference parameters without imposing parametric restrictions on the probability distribution of the agents’ unobserved characteristics. We provide a tractable characterisation of the sharp identified set for the preference parameters and discuss inference, under various classes of nonparametric distributional assumptions on the agents’ unobserved characteristics. Simulations suggest that the model can be informative about the sign and magnitude of the preference parameters. We use our methodology to empirically investigate if the variations in marriage matching patterns observed over time in the U.S. are caused by changes in the agents’ preferences for education assortativeness or by a shift in the proportion of educated women.
Active and reactive power control of the doubly fed induction generator based on wind energy conversion system Energy Reports

This paper presents a dynamic modeling and control of doubly fed induction-generator (DFIG) based on the wind turbine systems. Active and reactive power control of the DFIG are based on the feedback technique by using the suitable voltage vectors on the rotor side. The rotor flux has no impact on the changes of the stator active and reactive power. The proposed controller is based on the feedback technique in order to reduce the oscillation of the generator. The control approach is estimated through the simulation result of the feedback controller assembled with DFIG wind turbines. It is applied by the feedback control based techniques in order to control the power flowing of DFIG and the power grid. Hence, an improved feedback control technique is adopted to get a better power flow transfer and to improve the dynamic system and transient stability. In stable condition, the improved performance of the controller, the proposed method is verified for the effectiveness of the control method is done in stable conditions. © 2016 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).