Miracle-dz/UniFAR-FTUs huggingface dataset:
The Effect of Educational Intervention on Health Literacy and Nutritional Performance of Female High School Students in Zahedan

Background and Objective: Adolescence is a complex, sensitive and multidimensional period in the human development process. Nutrition quality is the main factors that have an essential role in the growth and maturity of adolescents. Adolescent’s health literacy is an importance because individuals with high levels of health literacy have better health outcomes than individuals with limited health literacy. Materials and Methods: The present study is an experimental intervention that was conducted on 15-18 years old female adolescents studying in high schools of Zahedan, Iran. The data collection tools in this study consisted of three questionnaires. Health literacy data were collected by HELMA questionnaire and its validity has been proven by Cronbach's alpha coefficient of 0. 95. Educational posters, booklets (designed by the researcher) and PowerPoint were used to conduct training programs during 3 sessions of 45 to 60 minutes. A post-test was carried out in the control and intervention groups One month after the last session. The SPSS software version 26 was used to analyze the data. Results: The results showed a significant difference between health literacy and nutritional performance of students in the intervention and control groups after the intervention (P-value <0.001), therefore; that educational intervention increased the health literacy and nutritional performance in students. A significant and positive relationship was found between students' health literacy and nutritional performance (P-value <0.05). Conclusion: According to the results of the present study, it is necessary for policymakers and planners to improve the health literacy of adolescents and students through intervention programs to promote health literacy, awareness, attitude, and nutritional behaviors in adolescent’s population.
Synthesis of multidimensional pathophysiological process leading to type A aortic dissection: a narrative review

Objective This review aims to synthesize the existing knowledge on the etiological process leading to type A aortic dissection (TAAD) and to clarify the relationship between mechanical, biochemical, and histopathological processes behind the aortic disease. Background Extensive research has previously identified several risk factors for TAAD as well as pathological mechanisms leading to TAAD. However, due to the complexity of the pathological process and limited knowledge on the relationships between distinct pathomechanisms leading to TAAD, the ability to identify the patients at high risk for TAAD has been poor. Methods PubMed (National Library of Medicine) database was searched for suitable literature. The most relevant articles focusing on anatomy, histopathology, physiology, and mechanics of ascending aorta and aortic diseases were reviewed. Conclusions Pathophysiology of the TAAD is related to biochemical and histological as well as mechanical and hemodynamic alterations leading to a degeneration of the aortic wall via inflammatory response. The degradative mechanisms of aortic wall structures and the mechanical forces, to which the wall is predisposed, are interrelated and influence one another. The relativity between the factors influencing aortic wall strength and healing capacity, and factors influencing mechanical stress on the aortic wall suggest that the risk of TAAD is not a linear but rather a dynamic phenomenon. Accounting for the dynamical property of the aortic disease in assessing the need for preventive surgical aortic reconstruction may provide a wider perspective in identifying patients at risk of TAAD and in planning preventive medical therapies.
The high fertility cycle

Graphical Abstract Summary: The high fertility cycle describes the relationship between body condition score (BCS) change during the periparturient period and health events and reproduction in which lactating dairy cows that establish pregnancy by 130 days in milk have less BCS gain during the current lactation, undergo less BCS loss after calving, experience fewer health issues, have greater fertility at first insemination, and have reduced early pregnancy losses after establishment of pregnancy. And thus, the cycle continues. This minireview overviews these relationships and highlights the key concepts underlying the high fertility cycle in lactating dairy cows.
Hierarchical NaFePO4 nanostructures in combination with an optimized carbon-based electrode to achieve advanced aqueous Na-ion supercapacitors

Recent trends in sodium-ion-based energy storage devices have shown the potential use of hollow structures as an electrode material to improve the performance of these storage systems. It is shown that, in addition to the use of hierarchical structures, the choice of the complementary carbon electrode determines the final performance of Na-ion-based devices. Here, we present simple synthesis strategies to prepare different structured carbonaceous materials that can be upscaled to an industrial level. Individual carbon materials deliver specific capacitance ranges from 120 to 220 F g−1 at a current density of 1 A g−1 (with excellent capacity retention). These structures, when combined with hollow NaFePO4 microspheres to fabricate an aqueous supercapacitor, show as high as a 1.7 V working potential window and can deliver a maximum energy density of 25.29 W h kg−1 capacity retention. These values are much higher than those reported by NaFePO4 solid particles and randomly chosen carbon structure-based supercapacitors.
Players’ performance during worst-case scenarios in professional soccer matches: a systematic review

Since the analysis of worst-case scenarios (WCS) has been increasing knowledge about match demands and possible impacts for the training process, it seems important to summarize the evidence to provide useful information for the soccer community. Thus, the purpose of this systematic review was to summarize the evidence about WCS in professional soccer. A systematic review of PubMed, SPORTDiscus, and FECYT (Web of Sciences, CCC, DIIDW, KJD, MEDLINE, RSCI, and SCIELO) was performed according to the guidelines for performing systematic reviews in sport science. From the 85 studies initially identified, 12 were fully reviewed, and their outcome measures were extracted and analyzed. There was an inverse relationship between the duration of WCS windows and running output during match play. Occurrences of WCS during soccer matches were also position-dependent across studies, at least, when analyzing performance with the total distance covered variable, although different outputs were identified between women and men players. Future research should consider analyzing the impact of contextual variables (match status, team formation, and match location) on peak match values and the weight of these moderators.
Auza and Mouloudj: Using the theory of planned behavior to explore green food purchase intentions

Predicting sustainable consumption behavior is particularly important in the field of marketing and public policy making, as environmental sustainability becomes a major concern for the public and private sector. This paper aims to contribute to the development of the extended theory of planned behavior (TPB) and to gain some insight into what drives students' intentions to purchase green food in Algeria as a developing country. Results from multiple linear regression (MLR) using data from the convenience sample of 265 students enrolled at three universities in Algiers, Algeria, shows that attitude, subjective norm, perceived behavioral control (PBC), and environmental concern have positive effects on intention to purchase green foods. Implications of the results for academics and practitioners are discussed.
Characterization of genomic clones by targeted deep sequencing of ctDNA to monitor liver cancer

Background In recent years, the morbidity and mortality of cancer patients have continued to increase in China, and there is an urgent need to develop an effective method to monitor tumor dynamics and measure tumor burden. Derived from the cell-free fraction of blood in cancer patients, circulating tumor DNA (ctDNA) has been regarded as a promising surrogate for tumor tissue biopsies. With the development of sequencing technology, ctDNA has been recognized as a specific and highly sensitive biomarker, and it has become a hot research spot in recent years. Methods In this paper, we investigated clonal changes before and after surgery in liver cancer patients using ctDNA. Results First, we evaluated the accuracy and stability of the method in ctDNA detection using virtual tumor samples with known mutations. The results showed that our method detected variants with an allelic frequency of at least 0.5%. We then applied this method to 34 liver cancer patients. A total of 266 clinically relevant mutations were identified in the pretreatment plasma samples. Through the analysis of plasma DNA samples at different treatment time points, we also investigated the possibility of using ctDNA as a prognostic factor to reflect tumor dynamics and to evaluate clinical responses. Conclusions The results demonstrated that targeted high-depth next-generation sequencing can be used in ctDNA detection. Compared to traditional biopsy, the detection of ctDNA provides more information for human liver cancer, which is essential to guide the selection of therapy and predict prognosis.
BM-DDPG: An Integrated Dispatching Framework for Ride-Hailing Systems

This paper proposes an integrated dispatching framework for matching drivers with riders in ride-hailing systems. The goal is to compute matching solutions that maximize social welfare and benefit both sides of the market, such that the sustainable growth of the ride-hailing system is ensured. The proposed framework integrates data-driven proactive guidance strategies with batched matching optimization to increase social welfare, improve matching rate and reduce rider wait time. Proactive guidance strategies are computed by leveraging short-term demand forecasts based on historical data. Taken the resulting guidance strategies as inputs, the batched matching algorithm computes optimal bipartite matching between drivers and riders in a batch. Using New York City taxi data from 2016 March 1st to March 31st as input, we conduct a numerical study to evaluate the performance of the proposed framework and compare it with existing approaches in the literature. Our results show that the proposed framework improves social welfare for up to 50%. It also increases the matching rate by an average of 20% and reduces the average rider wait time by over 15%. This implies a strong potential for the proposed dispatching framework to improve service quality in ride-hailing systems.
Reliable Test Architecture With Test Cost Reduction for Systolic-Based DNN Accelerators

Deep Neural Network (DNN) accelerators are now ubiquitous. Extensive research is being directed at low power DNN accelerators for battery operated devices at the expense of a little drop in accuracy. These DNN accelerators have large number of registers resulting in larger scan chains, which results in larger test times and higher IR drop issues. Conventional full scan design-for-testability (DFT) approach may result in test overhead in terms of; area overhead, test time, test power, test pins. In this brief, a novel DFT solution is proposed to overcome these test overheads. The proposed test access mechanism (TAM) uses existing data paths to transport the test pattern data to all PEs and reduce the IR drop based noise in test responses, thus enhancing the validity of testing process. The proposed TAM is able to reduce peak power around 64% and test time of around 89% on average in comparison to conventional testing methodology. The proposed technique is also able to reduce test time around 35% and peak power to 59% against an industrial testing methodology for DNN accelerators.
Theory and analysis of the luminance of top-emitting and bottom-emitting OLEDs

The pioneering work by Tang and Van Slyke in 1987 that invented organic light emitting diodes (OLEDs) resulted in considerable attention to these devices in both academic and industrial circles. OLEDs have very unique properties compared to traditional light-emitting devices such as synthetically tunable emission colors and color temperatures. There are two general types of OLED device structures: bottom-emitting OLEDs and top-emitting OLEDs. Electrons and holes are injected into the organic semiconducting emissive layer via electrical contacts (one metallic and one transparent, e.g. indium-tin oxide (ITO)) in combination with an electron injection layer and a hole injection layer, respectively. In the organic semiconducting emissive layer, holes and electrons combine to emit light (photons). However, because of the high refractive indices of ITO and glass used on the transparent side of most bottom-emitting OLED devices, the emitted light tends to get trapped in the ITO or glass substrate due to total internal reflection at the interfaces thus reducing the light extraction efficiency. In contrast, top-emitting OLEDs can have reduced waveguiding losses due to thinner or lower refractive index transparent layers. The hypothesis of this thesis is that the efficiency of organic conjugated polymer–based top-emitting OLEDs is greater than that of bottom-emitting OLEDs because of reduced total internal reflection and waveguiding losses. Organic conjugated polymer semiconductors are of interest in this work as the
Quantitative assessment of tumor-associated tissue eosinophilia and nuclear organizing region activity to validate the significance of the pattern of invasion in oral squamous cell carcinoma: A retrospective study

Introduction: Pattern of invasion (POI) in scoring system of oral squamous cell carcinoma (OSCC) can predict local recurrence and overall survival rate. Argyrophilic nucleolar organizer region (AGNOR) counts are considered to reflect the biosynthetic and nucleolar activity of a cell and thus serve as an indicator of the rapidity of the cell cycle thereby indicating the proliferative index of the tumor. It is implied that higher tumor associated tissue eosinophilia (TATE) showed lesser venous invasion, lymph node metastasis and clinical recurrence. The aim of the study was to assess and evaluate the following criteria's: POI-1 to POI-4 as defined by Bryne et al. in OSCC, proliferative index by AgNOR stain and TATE with carbol chromotrope stain in OSCC, validity of POI by correlating the AgNOR proliferative index and TATE. Materials and Methods: Forty samples of formalin fixed paraffin embedded tissue blocks diagnosed of OSCC were taken for the study. Three sections were taken from a single block and then the tissues were stained differently with H & E Stain, AgNOR stain and Carbol chromotrope stain. First section stained with H & E was observed for POI and grading was done according to Bryne's criteria. The second and third sections were stained with AgNOR stain and Carbol chromotrope stain for proliferative index and TATE. One way analysis of variance was used to test the significance. Results: Mean AgNORs count increases gradually from type 1 to type 4, depicting the increase in the nucleolar proliferative index of the cells and was statistically significant. In the case of the mean eosinophilic count, type 1 shows the highest mean eosinophilic count and the count shows drastic decrease till type 3 and from type 3 to type 4 the decrease is more gradual and was statistically significant. Conclusion: The study validated that POI is a good predictor for prognosis and also can be included in grading OSCC along with routine histopathological criteria.
Behavioral observations and stable isotopes reveal high individual variation and little seasonal variation in sea otter diets in Southeast Alaska

Two complementary approaches were used to assess year-round variation in the diet of sea otters Enhydra lutris around Prince of Wales Island (POW) in southern Southeast Alaska, a region characterized by mixed-bottom habitat. We observed sea otters foraging to determine diet composition during the spring and summer. Then, we obtained sea otter vibrissae, which record temporal foraging patterns as they grow, from subsistence hunters to identify year-round changes in sea otter diets via stable isotope analysis of carbon (δ13C) and nitrogen (δ15N). We compared the stable isotopes from sea otter vibrissae and sea otter prey items that were collected during spring, summer, and winter. Overall, year-round sea otter diet estimates from stable isotope signatures and visual observations from spring and summer were dominated by clams in terms of biomass, with butter clams Saxidomus gigantea the most common clam species seen during visual observations. Our results indicate that these sea otters, when considered together at a regional level around POW, do not exhibit shifts in the main prey source by season or location. However, sea otter diets identified by stable isotopes had a strong individual-level variation. Behavioral variation among individual sea otters may be a primary driving factor in diet composition. This study provides quantitative diet composition data for modeling predictions of invertebrate population estimates that may aid in the future management of shellfisheries and subsistence hunting and the development of co-management strategies for this protected species.
Dynamic Generation of Python Bindings for HPC Kernels

Traditionally, high performance kernels (HPKs) have been written in statically typed languages, such as C/C++ and Fortran. A recent trend among scientists—prototyping applications in dynamic languages such as Python—created a gap between the applications and existing HPKs. Thus, scientists have to either reimplement necessary kernels or manually create a connection layer to leverage existing kernels. Either option requires substantial development effort and slows down progress in science. We present a technique, dubbed WayOut, which automatically generates the entire connection layer for HPKs invoked from Python and written in C/C++. WayOut performs a hybrid analysis: it statically analyzes header files to generate Python wrapper classes and functions, and dynamically generates bindings for those kernels. By leveraging the type information available at run-time, it generates only the necessary bindings. We evaluate WayOut by rewriting dozens of existing examples from C/C++ to Python and leveraging HPKs enabled by WayOut. Our experiments show the feasibility of our technique, as well as negligible performance overhead on HPKs performance.
PENGARUH ONLINE COSTUMER REVIEW DAN CUSTOMER RATING TERHADAP KEPUTUSAN PEMBELIAN PRODUK KOSMETIK DI SOCIOLLA

Penelitian ini dimaksudkan untuk mengetahui pengaruh On-line Customer Review dan Customer Rating keputusan pembelian produk kosmetik di Sociolla dengan mengambil 100 konsumen sebagai sampel penelitian. Hasil penelitian ini membuktikan bahwa secara parsial terbukti jika Costumer Review dan Customer rating berpengaruh terhadap keputusan pembelian produk kosmetik di Sociolla. Penelitian ini juga membuktikan secara simultan sikap, On-line Customer Review dan Customer Rating keputusan pembelian produk kosmetik di Sociolla. Dari hasil analisa data membuktikan bahwa on line Customer Review merupakan variabel yang paling dominan mempengaruhi keputusan pembelian produk kosmetik di Sociolla Kata kunci : Customer Review, Customer Rating, Keputusan Pembelian
Population differentiation and gene flow in Rrodium cicutarium: A potential medicinal plant

Erodium (Geranaiceae) species are distributed in different habitats of Iran. Some species are of medicinal importance while some are well known weeds. In arid and semi-arid regions, E. cicutarium has had some importance as a forage plant and is an important grazing plant and source of protein supplements to straw for ruminants in semi deserts and wastelands of the Middle East. There is no information on its population genetic structure, genetic diversity, and morphological variability in Iran. Due to the medicinal importance of this species, a genetic variability and populations? structure study is performed studying 15 geographical populations of E. cicutarium Therefore, we used six inter-retrotransposon amplified polymorphism (IRAP) markers and 15 combined IRAP markers to reveal within and among population genetic diversity in this plant. AMOVA test produced significant genetic difference (PhiPT = 0.39, P = 0.010) among the studied populations and also revealed that, 55% of total genetic variability was due to within population diversity while, 45% was due to among population genetic differentiation. Mantel test showed positive significant correlation between genetic distance and geographical distance of the studied populations. Networking, STRUCTURE analyses and population assignment test revealed some degree of gene flow among these populations. PCoA plot of populations based on morphological characters was in agreement with MDS plot of molecular data. These results indicated that geographical populations of E. cicutarium are well differentiated both in genetic content as well as morphological characteristics. Consensus tree based on morphological and genetic data separated some of these populations from the others suggesting the existence of ecotypes within this species.
Adoção de tecnologia em organizações públicas brasileiras à luz do modelo UTAUT: uma revisão sistemática da literatura.

O objetivo deste artigo foi, atraves de uma revisao sistematica, analisar a literatura que utiliza o modelo UTAUT para compreender a adocao de tecnologia em organizacoes publicas, a partir dos seguintes aspectos de analise: objetivo dos artigos encontrados; contextos de aplicacao; metodologia utilizada; construtos adaptados, limitacoes da pesquisa e indicacoes de pesquisas futuras. Os resultados apontaram que o contexto publico tem sido preterido pelos pesquisadores, quando comparado as pesquisas que estudam a adocao de tecnologia em organizacoes privadas. Conclui-se que a maioria dos artigos selecionados realizaram adaptacoes no modelo UTAUT quando utilizados em organizacoes publicas. Contudo, os resultados nao permitem afirmar as razoes para tais alteracoes, se estao relacionadas a tecnologia empregada, ou as caracteristicas do servico publico. Como contribuicao complementar, o artigo buscou construir um protocolo de revisao sistematica abrangente.
The Deadweight Loss of Active Management

We evaluate the performance of US active equity funds based on their Sharpe ratios. Only 13% of funds outperform the market index after fees. We estimate the aggregate annual loss to investors in US active equity funds at $235 billion. This loss can be decomposed into an inefficient portfolio allocation component of $186 billion, and a fees component of $49 billion. The loss estimate based on Sharpe ratios is about 10 times larger than estimates based on alphas, and we argue that Sharpe ratios are more relevant from the perspective of most investors. We discuss possible explanations for the persistence of this large inefficiency and suggest ways to mitigate it.
Cultural values of parent bank board members and lending by foreign subsidiaries: The moderating role of personal traits

In this study, we investigate how the average cultural values of parent bank board members affect lending by foreign subsidiaries and how this influence is moderated by board members’ personal traits. Using a new dataset that includes information on foreign banks and their parent companies from 66 and 29 countries, respectively, we find that loan growth of foreign subsidiaries is faster when parent boards exhibit, on average, higher uncertainty avoidance and power distance but lower individualism and indulgence. Notably, the identified regularities are significantly moderated by gender, busyness, and firm ownership of parent bank board members.