Miracle-dz/UniFAR-FTUs huggingface dataset:
The Comparison of the Short and Long-Term Outcomes Between Laparoscopic Total Gastrectomy and Open Total Gastrectomy for Locally Advanced Gastric Cancer After Neoadjuvant Chemotherapy

BackgroundNeoadjuvant chemotherapy (NACT) combined with surgery is regarded as an effective treatment for advanced gastric cancer. Laparoscopic surgery represents mainstream of minimally invasive surgery. Currently, surgeons focus more on surgical safety and oncological outcomes of laparoscopic gastrectomy after NACT. Thus, we sought to evaluate short- and long-term outcomes between laparoscopic total gastrectomy (LTG) and open total gastrectomy (OTG) after NACT.MethodThis is a mono-institutional retrospective study conducted by Chinese PLA general hospital. After screening according to inclusion and exclusion criteria, we collected clinicopathological data of 140 patients who accepted gastrectomy after NACT from June 2012 to June 2019, including 62 patients in LTG group and 78 patients in OTG group. SPSS 26.0 and GraphPad Prism 8.0 were used to perform statistical analysis.ResultClinicopathological characteristics between LTG and OTG group showed no significant difference. In 140 patients, 10 patients acquired pCR while 58 patients presented ORR. Mentioning to perioperative outcomes, we found that LTG group had longer operation time(P=0.013), less blood loss（P=0.003）, shorter first flatus days(P＜0.001) and postoperative days（P＜0.001) . Even though LTG spent more surgical cost than OTG (P＜0.001), total hospitalized cost of LTG was less than OTG(P＜0.001). 21 (26.9%) patients in OTG group and 14 (22.6%) patients in LTG group had 30-day postoperative complication, with no significant difference (P=0.295). Long-term follow up demonstrated that 3-year OS rate was 59.3% and 65.7% in LTG and OTG group (HR: 0.690, 95%CI: 0.413~1.152, P=0.151) while 3-year DFS rate was 51.1% and 53.4% in LTG and OTG group respectively (HR: 0.796,95%CI: 0.488~1.300, P=0.357). ConclusionAfter NACT, LTG showed comparable 30-day postoperative morbidity as well as 3-year OS and DFS rate in comparison with OTG. We recommended experienced surgeons select LTG other than OTG for proper AGC patients after NACT.
Poly(o-Phenylenediamine)/ Montmorillonite Nanocomposites: A Novel Strategy to Arrest Bacterial Pathogens Infestation

Antibacterial potential of NC were investigated by the broth microdilution and agar well diffusion methods. Further, effective concentration (EC50) and minimum inhibitory concentration (MIC) of the NC were determined. Intercalation and in-situ polymerization of POPD within MMT was successfully obtained using sonochemical technique.The NC was then checked for antimicrobial activity against four bacterial strains and they showed potent antibacterial activity in both broth and on agar plate. Quantitative test in liquid media clearly showed that NC had viable cells reduction ability for testing strains. Results obtained here concluded that the NC can prevent the infestation of various bacterial pathogens effectively.
Programming Metasurface Near‐Fields for Nano‐Optical Sensing

Control of optical fields at the nanoscale holds the promise of fast, efficient imaging methods, but is elusive due to the diffraction limit. This paper investigates how a single metasurface patch in the near field of a sample plane may be used to create a wide variety of intensity patterns by applying different illumination profiles from the far field. Numerical analysis shows that one metasurface patch may be used to generate complete bases of illumination patterns on a grid as fine as λ/16. The limits of control are explored in terms of degrees of freedom on the illumination side and spatial resolution on the sample side. These illumination patterns are expected to enable sub‐wavelength structured illumination microscopies, compressive imaging and sensing. Quantitative analysis of how the engineered fields may be used for detection of small scattering particles demonstrates the potential the approach holds for nanoscale optical sensing.
Comparative study on the effects of pre-operative intranasal steroid spray versus oral steroid on intraoperative bleed in FESS for nasal polyposis

Background: Nasal polyps are associated with chronic inflammation of the nasal cavity and sinus mucosa. Steroids are the main stay of medical treatment. FESS is indicated when medical treatment fails. Bleeding during surgery can impair the surgical field during operation and increase the time duration and risks of complications. Pre-operative corticosteroids help reduce bleeding during surgery. The objectives of the study was to study and compare the effects of pre operative intra nasal steroid spray and oral steroid on intra-operative bleed in FESS for nasal polyposis. Methods: 60 patients diagnosed with nasal polyposis were sequentially divided into 2 groups. Group A received intranasal steroid spray and Group B received oral steroid each for 7 days. Patients of both groups underwent FESS under general anaesthesia. Bleeding volume and quality of surgical field were assessed during the procedure to evaluate the effect of pre operative steroids in bleeding in FESS. Results: Majority of our study patients of both the groups had moderate bleed. 33.3% of Group B patients showed the best outcome of surgery with just slight bleeding while 33.3% patients of Group B had moderate to severe bleed. Majority of our study patients (53.3%) had a blood loss of about 50-100 ml, of which 66.7% patients belonged to Group B. Conclusions: Preoperative steroids are truly beneficial. Oral steroids has been found to be relatively better than intra nasal steroid spray in improving symptoms, reducing intra operative bleeding, and in providing better quality of surgical field.
Feature Selection Based Enhancement Of The Accuracy Of Classificationalgorithms

Feature selection is played vital role for classification algorithmsin the machine learning. In real time data mining process, irrelevant features which are available in the dataset may decrease the accuracy level of the classification algorithms. The selection ofthe appropriateand relevant features of the dataset in classification problems is the important role in data mining. The aim of the research work is to increase accuracy level of the classification algorithmsusing feature selection technique with different domain datasets.This paper also comparesaccuracy of different classification algorithms with and without feature selection method. The classification algorithms such as Bayesian Net, Naïve Bayes, Multi Layer Perception, logistic regression, J48 and Random Forestare used with feature selection methodusing different domain datasetssuch as Breast Cancer, Glass, Iris and Weather for comparison.This experiment is done with the help of Weka tool and datasetsin the machine learning repository. Feature selectiontechniques are effective in reducing dimensionality, removing irrelevant data, increasing learning accuracy and improving result comprehensibility. However, the recent increase of dimensionality of data poses severe challenge to many existing feature selection techniques with respect to efficiency and effectiveness.
Persistence of temperature and precipitation: From local to global anomalies

ract: Using detrended fluctuation analysis (DFA) we find that the all continents are persistent in temperature. The scaling exponents of the southern hemisphere (SH) continents, i.e., South America (α=0.78) and Oceania (0.75) are somewhat higher than scaling exponents of Europe (0.70), Asia (0.69) and North America (0.65), but the scaling of Africa is by far the highest (0.89). The scaling exponents of the precipitation are much smaller, i.e., between 0.54 (Europe) and 0.67 (North America). The scaling exponent of Europe is near the exponent of random Brownian noise, which is 0.5. The other continents are slightly persistent in precipitation. The slopes of the logarithmic power spectra of the continents are in line with the scaling exponents confirming the DFA analysis results. We also show that the persistence is real and not the intrinsic property of the data itself. We find that scaling exponent α, i.e., persistence of the monthly temperature increases when going from local to larger area averages, at least in the case where climate type does not change much. The situation is not so obvious for the monthly precipitation. We also show that the three southernmost climate regions of USA, Ohio Valley, South and Southeast, have smaller scaling exponents for temperature anomalies, and are thus less persistent in temperature than other six climate regions. On the other hand they are slightly more persistent in precipitation that the other regions. The scaling exponents of the monthly temperature anomalies of the latitude zones of land area are 0.71 and 0.68 for the southern zones S44-S24, and S64-S44, respectively. For the northern zones N24-N44, N44-N64 and N64-N90, the scaling exponents are between 0.67-0.70. Interestingly the scaling exponents are extremely high for the equatorial zones S24-EQ and EQ-N24, i. e. , 1.02 and 0.95, respectively. The corresponding exponents of the monthly precipitation anomalies are between 0.55-0.61 for other zones than S24-EQ and EQ-N24, which have exponents 0.72 and 0.77, respectively.
Adaptive reuse and its impacts on the acoustical environment and public health of community residents: the case of Fenway, Boston, MA

ABSTRACT This article assesses the acoustical impacts to the environment in an urban neighborhood when a sports stadium is repurposed for live concerts. Various sound metrics were recorded with acoustic octave band analyzers on residential rooftops in one week intervals across multiple sites in the Fenway neighborhood within Boston, Massachusetts during a range of Fenway Park activities from March to September 2019. Analyses of sound level predictors were conducted to quantify the relative impact of different Fenway activities. Live concerts are significantly (p < 0.05) louder than other stadium activities across almost all sound metrics when adjusting for other relevant sources of sound, on average adding 4 dBA to the acoustical environment and with larger contributions at closer proximity to the stadium. Adaptive reuse of a baseball stadium to include live concerts led to a significant increase in noise levels in the surrounding community, which may impact the mental and physical health of neighborhood residents. These impacts may be more severe on the neighborhood’s most vulnerable residents. Our study reinforces the importance of monitoring multiple sound level metrics at numerous locations, with statistical methods to disentangle source contributions, in order to best capture the impact of changing use patterns on community noise exposures.
Dual-process reflective equilibrium: rethinking the interplay between intuition and reflection in moral reasoning

ABSTRACT Dual-process theories of the mind emphasize how reasoning is an interplay between intuitive and reflective thinking. This paper aims to understand how the two types of processing interact in the moral domain. According to a ‘default-interventionist’ model of moral reasoning intuition and reflection are conflicting cognitions: intuitive thinking would elicit heuristic and deontological responses, whereas reflection would favour utilitarian judgements. However, the evidence for the default interventionist view is inconclusive and challenged by a growing amount of counterevidence in recent years. The recent empirical findings favour an interdependent rather than conflicting view of the two types of information processing in the moral domain. In this view, which I call dual-process reflective equilibrium, intuition and reflection cooperate in moral reasoning to reach a reflective goal, which is supposedly normative justification. In sum, on the one hand, the scope of moral intuitions extends to selecting relevant information and calling for reflection whenever a problem presents conflicting aspects; on the other hand, the purpose of moral reflection is to rationalize pre-reflective intuitions to provide articulated and accessible reasons.
Intrathecal methotrexate combination with systemic chemotherapy in glioblastoma patients with leptomeningeal metastases

Purpose Glioblastoma (GBM) is the most common and aggressive primary malignant brain tumor with a bad outcome. Leptomeningeal disease (LMD) is a severe complication of GBM, with a worse outcome and have no effective treatment. A combination chemotherapy was conducted to evaluated the effective of GBM patients with LMD. Methods A retrospective analysis was conducted of GBM patients diagnosed with LMD between January 2012 and December 2019 in our institution. All these patients accepted at least one cycle of combination therapy combination intrathecal methotrexate(MTX) with systemic chemotherapy. Clinical and pathological data were analyzed to explore the effective treatment and the outcome of GBM patients with LMD. Results Twenty-six patients were enrolled in this study. The median time from GBM diagnosis to LMD development was 9.3 months (range 2–59 months). The median overall survival of LMD patients from diagnosis after accepted systemic chemotherapy combination with intrathecal methotrexate was 10.5 months (range 2–59 months). In the Cox univariate analysis, gross resection of tumor (p = 0.022), KPS༞60 (p = 0.002) and Ommaya reservoir implantation (p༜0.001) were correlated with survival. Multivariate analysis showed that KPS༞60 (p = 0.037) and Ommaya reservoir implantation (p = 0.014) were positive factors correlated with survival. The common toxicities of combination therapy were myelotoxicity and gastrointestinal reactions. According to Common Terminology Criteria of Adverse Events 4.03, most of the toxicities were less than grade 3. Conclusion Intrathecal methotrexate combined with systemic chemotherapy is an effective treatment for GBM patients with LMD and has mild treatment-related side effects.
Biolability of Fresh and Photodegraded Pyrogenic Dissolved Organic Matter From Laboratory‐Prepared Chars

Pyrogenic dissolved organic matter (pyDOM) is known to be an important biogeochemical constituent of aquatic ecosystems and the carbon cycle. While recent studies have examined how pyDOM production, composition, and photolability varies with parent pyrogenic solid material type, we lack an understanding of potential microbial mineralization and transformation of pyDOM in the biogeosphere. Thus, leachates of oak, charred at 400 °C and 650 °C, as well as their photodegraded counterparts were incubated with a soil‐extracted microbial consortium over 96 days. During the incubation, significantly more carbon was biomineralized from the lower versus higher temperature char leachate (45% vs. 37% lost, respectively). Further, the photodegraded leachates were biomineralized to significantly greater extents than their fresh non‐photodegraded counterparts. Kinetic modeling identified the mineralizable pyDOC fractions to have half‐lives of 9–13 days. Proton nuclear magnetic resonance spectroscopy indicated that the majority of this loss could be attributed to low molecular weight constituents of pyDOM (i.e., simple alcohols and acids). Further, the quantification of benzenepolycarboxylic acid (BPCA) molecular markers indicated that condensed aromatic compounds in pyDOM were biomineralized to much lesser extents (4.4% and 10.1% decrease in yields of ΣBPCA‐C over 66 days from 400 °C and 650 °C oak pyDOM, respectively), but most of this loss could be attributed to the biomineralization of smaller condensed clusters (four aromatic rings or less). These results highlight the contrasting bioavailability of different portions of pyDOM, and the need to examine both to evaluate its role in soil or aquatic heterotrophy and its environmental fate in the hydrogeosphere.
Relationship between Skin Microbiota and Skin Biophysical Parameters in Inflammatory Skin Disease: A Systematic Review

Many recent studies highlight the importance of skin microbiota for skin health. Alterations in the balance of bacterial flora cause the development of inflammatory skin diseases such as acne, atopic dermatitis, or psoriasis. This systematic review aims to investigate the relationship, in these skin diseases, between skin microbiota and skin biophysical parameters, such as pH, Transepidermal Water Loss (TEWL), Hydration (HI) and sebum levels. Google Scholar, Medline via Pubmed, and Web of Science were considered as scientific database to search studies about this topic. Research about acne and psoriasis did not produce any results. For this reason, in this review, only articles concerning atopic dermatitis were discussed. Therefore, a possible correlation between skin barrier functionality and microbial composition was also investigated. So, this could be a starting point for the diagnosis of atopic dermatitis or, more generally, for all inflammatory skin diseases.
Recognition of Customers’ Impulsivity from Behavioral Patterns in Virtual Reality

Virtual reality (VR) in retailing (V-commerce) has been proven to enhance the consumer experience. Thus, this technology is beneficial to study behavioral patterns by offering the opportunity to infer customers’ personality traits based on their behavior. This study aims to recognize impulsivity using behavioral patterns. For this goal, 60 subjects performed three tasks—one exploration task and two planned tasks—in a virtual market. Four noninvasive signals (eye-tracking, navigation, posture, and interactions), which are available in commercial VR devices, were recorded, and a set of features were extracted and categorized into zonal, general, kinematic, temporal, and spatial types. They were input into a support vector machine classifier to recognize the impulsivity of the subjects based on the I-8 questionnaire, achieving an accuracy of 87%. The results suggest that, while the exploration task can reveal general impulsivity, other subscales such as perseverance and sensation-seeking are more related to planned tasks. The results also show that posture and interaction are the most informative signals. Our findings validate the recognition of customer impulsivity using sensors incorporated into commercial VR devices. Such information can provide a personalized shopping experience in future virtual shops.
Factors Affecting Sectoral Employment in Nigeria during the Period of Growth (1981-2014)

The Nigerian economy was characterised with high levels of unemployment during the periods of substantial growth between 1981 and 2014. Various economists described the growth regime as “jobless”. Sectoral differences were, also, observed with regard to their job absorptive capacities. Time series secondary data covering 1981 to 2014 on the rebased Gross Domestic Product (GDP) and sectoral Gross Value Added (GVA) at 2010 constant basic prices, employment, wage rate, inflation rate and interest rate were collected from the National Bureau of Statistics (NBS) and Central Bank of Nigeria (CBN). The variables were extracted from statutory publications of the institutions, collated and summarised into a table of data. The unit root test was carried out to test for stationarity of variables. The data was analysed using VECM at α 0.05 . The result shows that wage rate, inflation rate, and interest rate all affected employment negatively across sectors. Gross Value added affected employment positively in the non-agricultural sectors, but negatively in the agricultural sectors. Inter-sectoral linkages and dependences also peculiarly affected job creation positively or negatively.
A framework for big data integration within the strategic management process based on a balanced scorecard methodology

The purpose of this research is to study the impact of big data initiatives onstrategic management processes. While the majority of strategic management disciplines havehad research dedicated to the use of strategic management theories to understand how big dataaffect organizational performance, the body of research on big data lacks academic work capableof examining how to integrate big data into the strategic management process. The maincontributions of this work are: (1) it highlights the strategic use of big data; (2) it analyses themain frameworks/models proposed by scholars that support the use of big data as a strategicmanagement tool, and outlines this research gap; and (3) it proposes a new framework thatintegrates big data within the strategic management process based on a balanced scorecardmethodology.
ADESÃO À ORGANIZAÇÃO PARA A COOPERAÇÃO E DESENVOLVIMENTO ECONÔMICO, EXPORTAÇÕES E INVESTIMENTOS: UMA ANÁLISE EXPLORATÓRIA

Desde 2017, o governo brasileiro estabeleceu como objetivo a adesao a Organizacao para a Cooperacao e Desenvolvimento Economico (OCDE), uma instituicao formada por 36 paises membros que buscam discutir, difundir e alinhar melhores praticas em termos de governanca e politicas publicas. A OCDE tem se expandido em anos recentes, tendo incluido dez paises desde a decada de 1990. E natural que haja interesse em conhecer os possiveis impactos dessa adesao sobre o desempenho economico dos paises. A literatura recente sobre cadeias globais de valor (CGVs) sugere que aspectos extratarifarios que tem sido crescentemente incorporados a acordos comerciais tem beneficiado o crescimento dessas cadeias de valor. Neste artigo, utilizando tecnicas econometricas diversas, fazemos uma analise exploratoria do desempenho das exportacoes e dos investimentos estrangeiros diretos desses paises, em comparacao com o desempenho dos paises que nao aderiram a instituicao. Encontramos efeitos significativos, ainda que modestos, sobre ambas as variaveis. Tendo em vista o grau de agregacao, preferimos interpretar esses resultados como correlacao, e nao causalidade. De todo modo, o impacto limitado sugere que ganhos mais substanciais em termos de crescimento e exportacoes para uma economia como a brasileira requerem medidas de aprofundamento da integracao em diversas dimensoes, em particular na area de bens e servicos.
Membership Function, Time Delay-Dependent $\eta$-Exponential Stabilization of the Positive Discrete-Time Polynomial Fuzzy Model Control System

This article investigates the <inline-formula><tex-math notation="LaTeX">$\eta$</tex-math></inline-formula>-exponential stabilization and positivity of the controlled discrete-time polynomial fuzzy model (DPFM) system with time delay. <inline-formula><tex-math notation="LaTeX">$\eta$</tex-math></inline-formula>-exponential polynomial copositive Lyapunov candidate is proposed to detect the system stability under the convergence (decay) rate. Static output feedback fuzzy controller is then synthesized to assure the DPFM closed-loop system with time delay. We propose Chebyshev membership functions (CMFs) to approach the primary membership function and attenuate the conservativeness of <inline-formula><tex-math notation="LaTeX">$\eta$</tex-math></inline-formula>-exponential stability formulation and positivity analysis. Chebyshev norm approximation error is utilized to introduce the error between CMFs and primary membership functions using slack matrices. A numerical example is presented to validate the proposed methods.