Miracle-dz/UniFAR-FTUs huggingface dataset:
Cross-Cultural Research on Internet Addiction: A Systematic Review

Internet addiction (IA) is the most studied behavioral addiction. However, few studies have been conducted that simultaneously include several countries to attain an inter-cultural and international perspective on the phenomenon. The aim of this systematic review is to observe the characteristics of cross-cultural IA studies, in order to explore (i) their classification, (ii) the cultures involved, (iii) the IA issues treated, and (iv) the commonalities and differences among cultures. For this review the PsycINFO scientific database was selected to make searches without restrictions. Out of 23 documents, 8 were selected (34.8%), after applying two research paper selection phases with the following specific inclusion criteria: the paper needs to be (i) an empirical cross-cultural study, (ii) focused on IA or other related online excessive behaviors, and (iii) published in a journal. Between 2008 and 2015, the results show that from 2012 onwards until the present, there has been a continuing increase of papers, mostly cross-national intercontinental studies that usually research IA in its generalized subtype and estimate its prevalence with classic and valid scales, while only one study focuses on video gaming. The continents involved are usually Asia, America and Europe, and the commonalities show that the higher rates of IA exist in Asian countries, in male users who spend a lot of hours online. Differences among countries and risk factors have however also been detected and cultural factors are usually not analyzed. More cross-cultural research on IA and other potentially addictive technologies and online activities is needed, so that we may further explore cultural factors and achieve higher external validity of the findings.
Diseño y construcción de un equipo para la extracción de aceite de Sésamo (Sesamum indicum) y Nuez (Juglans regia).

Se realizo el diseno y construccion de un equipo para la extraccion de aceite de Nuez y Sesamo, el mismo que se instalo en el Laboratorio de Quimica Organica de la Facultad de Ciencias de la Escuela Superior Politecnica de Chimborazo (ESPOCH), para el uso de los estudiantes de carreras afines de la facultad. Despues de haber realizado los calculos de ingenieria para el diseno bajo normas y principios teoricos ya establecidos en bibliografia, se procedio a la construccion del equipo el cual consta de dos partes principales para su correcto funcionamiento que son: motor-reductor, despues de haber analizado los parametros de presion y flujo masico en el caso de la semilla que requiere fuerza para su extraccion, se determino que el equipo requiere un motor-reductor de 2 HP de 60 rpm; el juego de camisa, tornillo y dado, requirio la eleccion de un material resistente a la corrosion y a las altas presiones por lo tanto, se establecio el uso de acero inoxidable AISI 304, debido a que las propiedades del mismo se adaptan a las especificaciones dadas en el diseno. Una vez instalada el equipo en el laboratorio se realizo la validacion del mismo mediante una practica en donde se recaudaron los datos necesarios para realizar los balances de materia y energia, donde se pudo concluir que el rendimiento del proceso con nuez fue de 70,69% y del sesamo fue de 59,28%. El aceite obtenido puede ser usado en diversos campos de la industria. Con el equipo extractor de aceite de semillas oleaginosas se pretende fomentar en la comunidad educativa la iniciativa de investigacion sobre los posibles usos de los aceites obtenidos mediante este proceso.
Design and Rationale for a Parent-Led Intervention to Increase Fruit and Vegetable Intake in Young Childhood Cancer Survivors (Reboot): Protocol for a Pilot Study

Background Poor dietary habits are common among childhood cancer survivors, despite increasing their risk of cardio metabolic complications after cancer treatment. Here, we describe the design and rationale for a pilot telephone-based, parent-led intervention aimed at increasing fruit and vegetable intake in young cancer survivors (Reboot). Objective This pilot study aims to assess the feasibility and acceptability of delivering evidence-based telephone support to parents of childhood cancer survivors. A secondary aim includes assessing the effect of Reboot on improving childhood cancer survivors’ dietary quality by increasing child fruit and vegetable intake and variety and its contribution to overall nutrient intake. Methods We aim to recruit parents of 15 young cancer survivors aged 2 to 12 years who have completed cancer treatment less than five years ago. The intervention comprises of 4 weekly 45-minute telephone sessions led by a health professional and one booster session 6 weeks later. Sessions address the effects of cancer treatment on children’s diets, recommended fruit and vegetable intake for children, and evidence-based strategies to promote the consumption of fruit and vegetables as well as to manage fussy eating. Results Reboot is based on an existing, evidence-based parent nutrition intervention and modified for childhood cancer survivors following extensive collaboration with experts in the field. Primary outcomes of feasibility and acceptability will be measured by the number of participants who complete all five sessions, average session length (minutes), length between sessions (days) and parent Likert ratings of the usefulness and impact of the intervention collected after the booster session. Of the 15 participants we aim to recruit, 3 have completed the intervention, 1 declined to participate, 11 are actively completing the intervention and 2 participants are providing written consent. The remaining 3 participants will be recruited via telephone follow-up calls. The intervention is due to be completed by July 2018. Conclusions Reboot aims to support healthy dietary behaviors in childhood cancer survivors who are at increased risk of developing serious cardiometabolic complications after their cancer treatment. Results will inform the development and implementation of future evidence-based dietary interventions delivered to childhood cancer survivors, particularly those living in rural and remote areas. Registered Report Identifier RR1-10.2196/9252
The effect of adjuvant chemotherapy on survival in Korean patients with node negative T1c, triple negative breast cancer

Background The present study investigated the prognostic role of adjuvant systemic chemotherapy in patients with node negative, T1c triple negative breast cancer (TNBC) from a nationwide cohort. In addition, the prognostic effect between 3 different chemotherapy regimens were compared in node-negative T1c TNBC patients by subgroup analysis. Methods From the Korean breast cancer registry database, 1,151 T1c node negative TNBC patients were included in this study. Patients were categorized into four treatment groups according to chemotherapy regimen: (1) no chemotherapy, (2) adriamycin plus cyclophosphamide (AC), (3) adriamycin/epirubicin plus cyclophosphamide plus 5-FU (FAC/FEC), and (4) cyclophosphamide plus 5-FU plus methotrexate (CMF). Overall survival (OS) was evaluated between each patient group. Results Of the 1,151 T1c node negative TNBC patients, 1,006 received adjuvant chemotherapy, while 145 received no chemotherapy. Among the patients receiving adjuvant chemotherapy the distribution of regimens was: 586 AC, 168 FAC/FEC (126 FAC, 42 FEC), and 252 CMF. The mean follow-up time of the full study cohort was 87.98 ± 33.56 months (range = 6–192 months). Patients in the no chemotherapy group showed significantly worse OS compared to each chemotherapy regimen group. However, when OS was compared between each chemotherapy regimen, no significant difference was found. Conclusions This study showed that adjuvant systemic chemotherapy improved OS in T1c node negative TNBC patients, regardless of chemotherapy between AC, FAC/FEC, and CMF regimens.
Automated and real-time segmentation of suspicious breast masses using convolutional neural network

In this work, a computer-aided tool for detection was developed to segment breast masses from clinical ultrasound (US) scans. The underlying Multi U-net algorithm is based on convolutional neural networks. Under the Mayo Clinic Institutional Review Board protocol, a prospective study of the automatic segmentation of suspicious breast masses was performed. The cohort consisted of 258 female patients who were clinically identified with suspicious breast masses and underwent clinical US scan and breast biopsy. The computer-aided detection tool effectively segmented the breast masses, achieving a mean Dice coefficient of 0.82, a true positive fraction (TPF) of 0.84, and a false positive fraction (FPF) of 0.01. By avoiding positioning of an initial seed, the algorithm is able to segment images in real time (13–55 ms per image), and can have potential clinical applications. The algorithm is at par with a conventional seeded algorithm, which had a mean Dice coefficient of 0.84 and performs significantly better (P< 0.0001) than the original U-net algorithm.
The Plaza Accord, 30 Years Later

The paper reviews an event of 30 years ago from the perspective of today: a successful G-5 initiative to reverse what had been an overvalued dollar. The “Plaza Accord” is best viewed not as the precise product of the meeting on September 22, 1985, but as shorthand for a historic change in US policy that began when James Baker became Treasury Secretary in January of that year. The change had the desired effect, bringing down the dollar and reducing the trade deficit. In recent years concerted foreign exchange intervention, of the sort undertaken by the G-7 in 1985 and periodically over the subsequent decade, has died out. Indeed the G-7 in 2013, fearing “currency manipulation,” specifically agreed to refrain from intervention in a sort of “anti-Plaza accord. ” But some day coordinated foreign exchange intervention will return.
Distill-and-Compare: Auditing Black-Box Models Using Transparent Model Distillation

Black-box risk scoring models permeate our lives, yet are typically proprietary or opaque. We propose Distill-and-Compare, an approach to audit such models without probing the black-box model API or pre-defining features to audit. To gain insight into black-box models, we treat them as teachers, training transparent student models to mimic the risk scores assigned by the black-box models. We compare the mimic model trained with distillation to a second, un-distilled transparent model trained on ground truth outcomes, and use differences between the two models to gain insight into the black-box model. We demonstrate the approach on four data sets: COMPAS, Stop-and-Frisk, Chicago Police, and Lending Club. We also propose a statistical test to determine if a data set is missing key features used to train the black-box model. Our test finds that the ProPublica data is likely missing key feature(s) used in COMPAS.
Rapamycin provides anti-epileptogenic effect in a rat model of post-traumatic epilepsy via deactivation of mTOR signaling pathway

The mammalian target of rapamycin (mTOR) signaling pathway has attracted much attention in recent years. However, the contribution of mTOR activation to the development of post-traumatic epilepsy (PTE) remains largely unknown. The purpose of the present study was to investigate the activation of mTOR signaling in a rat model of FeCl2-induced PTE, and to explore the potential effect of its specific inhibitor rapamycin. The results indicated that the expression levels of p-mTOR and p-P70S6K, the overactivation biomarkers of mTOR signaling, increased significantly in hippocampal and perilesional cortex following PTE induction. Notably, they were significantly decreased in the aformementioned brain regions following rapamycin treatment. Furthermore, the frequency and number of behavioral seizures and epileptic brain injury were also greatly reduced. These results suggest that hyperactivation of the mTOR signaling pathway is a crucial mechanism of PTE development, and it may be considered a novel therapeutic target for PTE treatment.
Dense Fully Convolutional Segmentation of the Optic Disc and Cup in Colour Fundus for Glaucoma Diagnosis

Glaucoma is a group of eye diseases which can cause vision loss by damaging the optic nerve. Early glaucoma detection is key to preventing vision loss yet there is a lack of noticeable early symptoms. Colour fundus photography allows the optic disc (OD) to be examined to diagnose glaucoma. Typically, this is done by measuring the vertical cup-to-disc ratio (CDR); however, glaucoma is characterised by thinning of the rim asymmetrically in the inferior-superior-temporal-nasal regions in increasing order. Automatic delineation of the OD features has potential to improve glaucoma management by allowing for this asymmetry to be considered in the measurements. Here, we propose a new deep-learning-based method to segment the OD and optic cup (OC). The core of the proposed method is DenseNet with a fully-convolutional network, whose symmetric U-shaped architecture allows pixel-wise classification. The predicted OD and OC boundaries are then used to estimate the CDR on two axes for glaucoma diagnosis. We assess the proposed method’s performance using a large retinal colour fundus dataset, outperforming state-of-the-art segmentation methods. Furthermore, we generalise our method to segment four fundus datasets from different devices without further training, outperforming the state-of-the-art on two and achieving comparable results on the remaining two.
Responses of terrestrial ecosystems to temperature and precipitation change: a meta‐analysis of experimental manipulation

Global mean temperature is predicted to increase by 2–7 °C and precipitation to change across the globe by the end of this century. To quantify climate effects on ecosystem processes, a number of climate change experiments have been established around the world in various ecosystems. Despite these efforts, general responses of terrestrial ecosystems to changes in temperature and precipitation, and especially to their combined effects, remain unclear. We used meta‐analysis to synthesize ecosystem‐level responses to warming, altered precipitation, and their combination. We focused on plant growth and ecosystem carbon (C) balance, including biomass, net primary production (NPP), respiration, net ecosystem exchange (NEE), and ecosystem photosynthesis, synthesizing results from 85 studies. We found that experimental warming and increased precipitation generally stimulated plant growth and ecosystem C fluxes, whereas decreased precipitation had the opposite effects. For example, warming significantly stimulated total NPP, increased ecosystem photosynthesis, and ecosystem respiration. Experimentally reduced precipitation suppressed aboveground NPP (ANPP) and NEE, whereas supplemental precipitation enhanced ANPP and NEE. Plant productivity and ecosystem C fluxes generally showed higher sensitivities to increased precipitation than to decreased precipitation. Interactive effects of warming and altered precipitation tended to be smaller than expected from additive, single‐factor effects, though low statistical power limits the strength of these conclusions. New experiments with combined temperature and precipitation manipulations are needed to conclusively determine the importance of temperature–precipitation interactions on the C balance of terrestrial ecosystems under future climate conditions.
Roles of the Chr.9p21.3 ANRIL Locus in Regulating Inflammation and Implications for Anti-Inflammatory Drug Target Identification

Periodontitis (PD) is a common gingival infectious disease caused by an over-aggressive inflammatory reaction to dysbiosis of the oral microbiome. The disease induces a profound systemic inflammatory host response, that triggers endothelial dysfunction and pro-thrombosis and thus may aggravate atherosclerotic vascular disease and its clinical complications. Recently, a risk haplotype at the ANRIL/CDKN2B-AS1 locus on chromosome 9p21.3, that is not only associated with coronary artery disease / myocardial infarction (CAD/MI) but also with PD, could be identified by genome-wide association studies. The locus encodes ANRIL - a long non-coding RNA (lncRNA) which, like other lncRNAs, regulates genome methylation via interacting with specific DNA sequences and proteins, such as DNA methyltranferases and polycomb proteins, thereby affecting expression of multiple genes by cis and trans mechanisms. Here, we describe ANRIL regulated genes and metabolic pathways and discuss implications of the findings for target identification of drugs with potentially anti-inflammatory activity in general.
Investigating admitted patients’ satisfaction with nursing care at Debre Berhan Referral Hospital in Ethiopia: a cross-sectional study

Objectives The aims of the study were (1) to assess the level of patient satisfaction with nursing care and (2) to identify factors influencing patient satisfaction. Design A hospital-based, cross-sectional study was conducted with 252 admitted patients in the medical, surgical and paediatric wards. Setting Debre Berhan Referral Hospital, Debre Berhan, Ethiopia, with a catchment population of 2.8 million. Participants All patients admitted at least for 2 days and capable of independent communication were included. However, patients were excluded on any one of the following conditions: admitted for less than 2 days, cannot understand Amharic language, with critical illness or cognitive impairment that affects judgement, or inability to provide written informed consent. The mean age of the patients was 37.9 (SD=12.9) years, and half (50.4%) of them were male. Primary outcome measure Patient satisfaction with nursing care, measured by the Newcastle Satisfaction with Nursing Scale, was the outcome variable. Using a mean split approach, patient satisfaction scores were dichotomised into ‘satisfied’ and ‘unsatisfied’. Results 49.2% of patients were satisfied with nursing care. Educational status and history of admission were significant factors influencing patient satisfaction with nursing care. Patients who had high educational status were 80% less satisfied compared with those who had no formal education (p=0.01, OR=0.2, 95% CI 0.1 to 0.7). Patients who had a history of admission were 2.2 times more satisfied compared with those who had no history of admission (p=0.02, OR=2.2, 95% CI 1.2 to 4.2). Conclusions About half the admitted patients were satisfied with the nursing care. Satisfaction differed significantly by patients’ educational attainment and history of admission. This study provided evidence on patient satisfaction with nursing care in Ethiopia. This information may be useful in comparative studies of patient satisfaction and in identifying characteristics that may explain or predict patient satisfaction.
The role of neuroinflammation and neurovascular dysfunction in major depressive disorder

Although depression has generally been explained with monoamine theory, it is far more multifactorial, and therapies that address the disease’s pathway have not been developed. In this context, an understanding of neuroinflammation and neurovascular dysfunction would enable a more comprehensive approach to depression. Inflammation is in a sense a type of allostatic load involving the immune, endocrine, and nervous systems. Neuroinflammation is involved in the pathophysiology of depression by increasing proinflammatory cytokines, activating the hypothalamus–pituitary–adrenal axis, increasing glucocorticoid resistance, and affecting serotonin synthesis and metabolism, neuronal apoptosis and neurogenesis, and neuroplasticity. In future, identifying the subtypes of depression with increased vulnerability to inflammation and testing the effects of inflammatory modulating agents in these patient groups through clinical trials will lead to more concrete conclusions on the matter. The vascular depression hypothesis is supported by evidence for the association between vascular disease and late-onset depression and between ischemic brain lesions and distinctive depressive symptoms. Vascular depression may be the entity most suitable for studies of the mechanisms of depression. Pharmacotherapies used in the prevention and treatment of cerebrovascular disease may help prevent vascular depression. In future, developments in structural and functional imaging, electrophysiology, chronobiology, and genetics will reveal the association between depression and brain lesions. This article aims to give a general review of the existing issues examined in the literature pertaining to depression-related neuroinflammatory and vascular functions, related pathophysiology, applicability to depression treatment, and directions for future research.
Characteristics of Nodulation and Nitrogen Fixation in the Improved Supernodulating Soybean (Glycine max L. Merr.) Cultivar ‘Sakukei 4’

Abstract Supernodulating soybean lines have more than several times as many nodules as normal cultivars. They are expected to have high nitrogen-fixing ability and enhanced productivity, but their yields have been inferior to those of normal genotypes. We have recently developed a new supernodulating cultivar,‘Sakukei 4’(formerly ‘En-b0-1-2’, presently‘Kanto 100’), with improved growth and yield. The objective of the present study was to identify the characteristics of the nodulation and nitrogen-fixing ability of Sakukei 4. In pot trials, the nodule number of Sakukei 4 was 8.3 times that of a normal cultivar,‘Enrei’, and the nodule weight per plant was 2.3 to 2.8 times the value for Enrei. The acetylene reduction activity per plant in Sakukei 4 was higher than that in Enrei and conventional supernodulating genotypes, especially during the late growth stage. Compared with conventional supernodulating lines, the improved vegetative growth in shoots and roots of Sakukei 4, especially after flowering, probably enhanced its nitrogen-fixing ability per plant. We consider that its high nitrogen-fixing ability at the seed-filling stage, would help increase its yield in fields with low nitrogen fertility.
Explicit knowledge and learning in SLA: A cognitive linguistics perspective

SLA researchers agree that explicit knowledge and learning play an important role in adult L2 development. In the field of cognitive linguistics, it has been proposed that implicit and explicit knowledge differ in terms of their internal category structure and the processing mechanisms that operate on their representation in the human mind. It has been hypothesized that linguistic constructions which are captured easily by metalinguistic descriptions can be learned successfully through explicit processes, resulting in accurate use. However, increased accuracy of use arising from greater reliance on explicit processing may lead to decreased fluency. Taking these hypotheses as a starting point, I present a case study of an adult L2 learner whose development of oral proficiency was tracked over 17 months. Findings indicate that explicit knowledge and learning have benefits as well as limitations. Use of metalinguistic tools was associated with increased accuracy; moreover, there was no obvious trade-off between accuracy and fluency. At the same time, resource-intensive explicit processing may impose too great a cognitive load in certain circumstances, apparently resulting in implicit processes taking over. I conclude that explicit and implicit knowledge and learning should be considered together in order to gain a full understanding of L2 development.