Miracle-dz/UniFAR-FTUs huggingface dataset:
PREOPERATIVE IMMUNONUTRITION IN GASTROINTESTINAL CANCER PATIENTS

Surgical procedures due to gastrointestinal tumors are associated with increased risk of postoperative complications and mortality. This is a result of malnutrition and impairment of the immune system. Using nutritional treatment containing immunomodulatory components before surgery may improve the nutritional status of patients and also the immune system by stimulating the host`s immune response, improving the nitrogen balance and controlling the inflammatory response. The nutrients with immunomodulatory effect include: arginine, glutamine, -3 fatty acids, and nucleotides. Despite many clinical research the role of preoperative immunonutrition remains unambiguous. The optimal dose of using it is also unknown. The aim of this study was analysis of the impact of preoperative immunonutrition on postoperative complications in patients with gastrointestinal cancer treated surgically. The authors reviewed the literature of effect of preoperative immunonutrition on postoperative complications, mortality, and length of stay in hospital in gastrointestinal cancer patients. The studies including immunonutrients such as arginine, glutamine, -3 fatty acids and RNA (ribonucleic acid) were reviewed. Preoperative immunonutrition seems to be effective in the prevention of postoperative complications, both infectious and noninfectious, as well reduction of mortality and shorter length of stay in hospital. Patients with malnutrition are definitely benefit of this kind of support. Further studies are needed to assess the effect of preoperative immunonutrition in patients treated surgically due to gastrointestinal cancer.
The role of community agreeableness and digital intelligence to improve SME’s innovation performance

The purpose of this study is to discuss how the role of community, sharing of knowledge between organizations, and digital intelligence on the performance of innovations is conceptualized to develop community capacity. Digital economic distribution can develop many SMEs in several regions in Central Java. As an entrepreneurial trend, innovation has a very important role for SMEs because it must have the ability to use digital technology properly. Efforts to Improve Performance Held by Renewing SMEs for Communities that have the same goal are called Community Agreeableness. Benefits of creating a community are a place to share knowledge and improve knowledge and skills within the SME community supported by digital intelligence. While the method used is a kind of quantitative explanatory research. The sample in this study amounted to 175 SMEs in Central Java who have used digital technology for online marketing and have used at least 1 year. The types of data in this study were obtained from primary data. Primary data were obtained directly from the main sources either from individuals, namely a questionnaire in the form of google which was distributed via WhatsApp personally to each respondent. Data collection methods are used through questionnaires and will then be analyzed with Partial Least Square (PLS) statistical analysis techniques. The results showed that community approval had a positive and significant effect on knowledge sharing between organizations, community approval was positively and significantly related to collaboration skills, knowledge sharing between organizations had a positive and significant effect on innovation performance, collaboration skills had a positive and significant effect on innovation performance, and digital intelligence is able to moderate the relationship between sharing knowledge between organizations and innovation performance. Hence, increasing the capacity of the community plays an important role in improving innovation performance in SMEs. Keywords: Community Agreeableness, Inter Organizational Knowledge Sharing, Collaboration Skills, Digital Intelligence, and Innovation Performance
Development of Biodegradable Films Loaded with Phages with Antilisterial Properties

The inhibitory and bactericidal capacity of Listex P100 bacteriophage has been studied against different concentrations of Listeria monocytogenes in stationary and exponential phases. Three different matrices were employed to developed films incorporating Listex P100: (1) sodium caseinate, (2) sodium alginate mixed with gelatin, and (3) polyvinyl alcohol (PVOH). All the films were successfully developed by casting at room temperature. These active biodegradable films were optical, structural, and thermally characterized, and their antimicrobial capacities against L. monocytogenes were studied. The incorporation of phages did not affect the morphology, colour, opacity, and thermal stability of polymers. The antimicrobial analysis revealed the bacteriophage presented a high antimicrobial capacity against L. monocytogenes in the stationary phase (4.40 and 6.19 log reduction values or bactericide effect depending on the initial inoculum of the pathogen). Developed films showed antimicrobial capacity close to 1 log after 24 h of incubation at 30 °C. The effectiveness of PVOH films was greater under refrigeration conditions, reaching 2 log reduction after eight days of incubation. The use of these films as a coating in a food or as part of a packaging could improve food safety against the growth of pathogenic microorganisms such as Listeria monocytogenes.
Cancer: A Global Cause of Mortality

Copyright: 2020 Kashetti S. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. endometrial and ovarian cancers along with some comment cancers such as lung, liver, stomach cancer, etc. If sex differences exist in cancer mortality and are the result of sex differences in cancer incidence, and not cancer survival, then such evidence may suggest etiologic clues for future analytical studies [4].
FACTORS AFFECTING THE PERFORMANCE OF HORIZONTAL FLOW CONSTRUCTED WETLAND VEGETATED WITH CYPRUS PAPYRUS FOR MUNICIPAL WASTEWATER TREATMENT [1]

The impact of hydraulic loading rate (HLR) and hydraulic retention time (HRT) on the bioremediation of municipal wastewater using a horizontal flow constructed wetland (HFCW) vegetated with Cyprus papyrus was investigated. Three different HLRs were applied with values of 0.18, 0.10 and 0.07 m 3 /m 2 . d with corresponding HRT of 1.8, 3.2 and 4.7 days. The flow rate was 8.3 m 3 /d and the average organic loading rate was 0.037kg BOD/m 3 /d. Results showed that the performance of HFCW is linearly affected by decreasing HLR and increasing the HRT. The remediation for the heights HRT (4.7) days and lowest HLR (0.07 m 3 /m 2 .d) produced high quality effluent in terms of reduction of chemical oxygen demand (COD; 86%), biochemical oxygen demand (BOD; 87%) and total suspended solids (TSS; 80%) as well satisfactory nutrient removal. Also, removal of 2-3 logs of bacterial indicators was achieved. The dry biomass of Cyprus papyrus was 7.7 kg/m 2 . Moreover, Cyprus papyrus plant proved to be very efficient in nitrification processes due to high diversity of the roots that increase the treatment surface area.
A Review on Linear Regression Comprehensive in Machine Learning

Perhaps one of the most common and comprehensive statistical and machine learning algorithms are linear regression. Linear regression is used to find a linear relationship between one or more predictors. The linear regression has two types: simple regression and multiple regression (MLR). This paper discusses various works by different researchers on linear regression and polynomial regression and compares their performance using the best approach to optimize prediction and precision. Almost all of the articles analyzed in this review is focused on datasets; in order to determine a model's efficiency, it must be correlated with the actual values obtained for the explanatory variables.
Risk aversion, intertemporal substitution and optimal fiscal policy over the business cycle

When the intertemporal elasticity of substitution is disentangled from risk aversion as in the recursive preferences of Epstein and Zin (1989) and Weil (1990) (EZW henceforth), news about future consumption and leisure affect the equilibrium value of the government’s portfolio of securities and therefore the extent to which the government has to resort to distortionary taxation in order to finance government expenditures. This paper studies the implications of this channel for the optimal capital and labor income taxation over the business cycle and the implied asset positions of the government. In contrast to the case of time-additive expected utility, the excess burden of taxation becomes time-varying, causing taxation of the intertemporal margin and variation of taxation at the intratemporal margin. Optimal policy becomes a mechanism of endogenous persistence. JEL classification: D80; E62; H21; H63.
Doubly resonant χ(2) nonlinear photonic crystal cavity based on a bound state in the continuum: supplementary material

This document provides supplementary information to "Doubly resonant χ(2) nonlinear photonic crystal cavity based on a bound state in the continuum," https://doi.org/10.1364/OPTICA.6. 001039. We provide details regarding the simulations discussed in the paper, and show larger images of the cavity modes. We also discuss some of the details relating to Eqs. (2) and (4) in the main text. Finally, we demonstrate that resonance tuning of the cavity modes into the doubly resonant condition is possible using either one of the photonic crystal structural parameters.
Reconnaissance de visages : une méthode originale combinant analyse discriminante logistique et distance sur graphe

Résumé Nous nous intéressons dans cet article au problème pas-sionnant qu’est la reconnaissance de visages dans des cas non contraints, c’est-à-dire dans des situations où l’éclai-rage, la pose, la taille du visage dans l’image ne sont pas contrôlés. Nous proposons ici deux contributions origi-nales : une méthode d’apprentissage de distance par analyse en composantes logistiques discriminantes (LDCA), combinée à une méthode d’apprentissage semi-supervisé au moyen de graphes. Nous
TRANSFER LEARNING METHOD FOR SLEEP STAGES CLASSIFICATION USING DIFFERENT DOMAIN

Sleep stages classification using the signal analysis includes electroencephalogram (EEG), Electrooculography (EOG), Electromyography (EMG), Photoplethysmogram (PPG), and electrocardiogram (ECG). In this study, the proposed method using transfer learning to sleep stages classification. First, we have used the PPG and ECG signals, because they are less complex. This signal has the least complexity
Green synthesis of silver nanoparticles (Ag-NPs) from Olea dioica Roxb., leaf extracts and its biological activity

Introduction and Aim: The silver nanoparticles have attained a special place in the area of nanotechnology because of their different biological applications. Fabrication of nanoparticles using green synthesis is done because of its wide applications in different fields such as biomedical, medicine, agriculture and food engineering. This study is to develop an easy and eco-friendly method for the synthesis of Ag-NPs using leaf extracts of the medicinal plant. Materials and Methods: The medicinal plants are rich sources of various medicinal properties. Olea dioica Roxb. , leaf extract was used to investigate the effects of Ag-NPs having antibacterial activity and antioxidant capacity. The plant leaf extract contains flavonoids, alkaloids, saponins, and phenolic compounds which acts as reducing and stabilizing agents. The green synthesized silver nanoparticles were characterized by various techniques like UVvisible spectrophotometer, FTIR spectroscopy, and SEM analysis. Results: The synthesis of sliver nanoparticles from plant source, and analysis of nano particles by UV-Vis spectra, SEM and FTIR. The biological evaluations of Ag-NPs indicated an excellent inhibitory efficacy, antioxidant and antimicrobial activity for their future applications in medicine. Conclusion: The synthesized silver nanoparticles exhibited potent antioxidant and antimicrobial activities against Gram-positive and Gram-negative bacteria. The silver (Ag-NPs) nanoparticles synthesized by the pot green synthesis method proves its potential use in various medical applications.
Waterpipe smoke condensate influences epithelial

Waterpipe tobacco smoking (WPS) continues to spread globally and presents serious health hazards. The aim of the present study was to investigate the effects of treatment with WPS condensate (WPSC) on lung cell proliferation and plasticity as well as tumor cell recognition and killing by natural killer (NK) cells using cytotoxicity assays. The results indicated that exposure of normal and cancer lung cell lines to WPSC resulted in a decrease in their in vitro growth in a dose-dependent manner and it induced tumor senescence. In addition, WPSC selectively caused DNA damage as revealed by an increase in γH2AX and 53BP1 in tumor lung cells. To gain further insight into the molecular mechanisms altered by WPSC, we conducted a global comprehensive transcriptome analysis of WPSC-treated tumor cells. Data analysis identified an expression profile of genes that best distinguished treated and non-treated cells involving several pathways. Of these pathways, we focused on those involved in epithelial to mesenchymal transition (EMT) and stemness. Results showed that WPSC induced an increase in SNAI2 expression associated with EMT, ACTA2 and SERPINE2 were involved in invasion and CD44 was associated with stemness. Furthermore, WPSC exposure increased the expression of inflammatory response genes including CASP1, IL1B, IL6 and CCL2. While immune synapse formation between NK and WPSC-treated lung cancer target cells was not affected, the capacity of NK cells to kill these target cells was reduced. The data reported in the present study are, to the best of our knowledge, the first in vitro demonstration of WPSC effects on lung cellular parameters providing evidence of its potential involvement in tumor physiology and development.
Analyzing and Leveraging Decoupled L1 Caches in GPUs

Graphics Processing Units (GPUs) use caches to provide on-chip bandwidth as a way to address the memory wall. However, they are not always efficiently utilized for optimal GPU performance. We find that the main source of this inefficiency stems from the tightly-coupled design of cores with L1 caches. First, such a design assumes a per-core private local L1 cache in which each core independently caches the required data. This allows the same cache line to get replicated across cores, which wastes precious cache capacity. Second, due to the many-to-few traffic pattern, the tightly-coupled design leads to low per-core L1 bandwidth utilization while L2/memory is heavily utilized.To address these inefficiencies, we renovate the conventional GPU cache hierarchy by proposing a new DC-L1 (DeCoupled-L1) cache – an L1 cache separated from the GPU core. We show how decoupling the L1 cache from the GPU core provides opportunities to reduce data replication across the L1s and increase their bandwidth utilization. Specifically, we investigate how to aggregate the DC-L1s; how to manage data placement across the aggregated DC-L1s; and how to efficiently connect the DC-L1s to the GPU cores and the L2/memory partitions. Our evaluation shows that our new cache design boosts the useful L1 cache bandwidth and achieves significant improvement in performance and energy efficiency across a wide set of GPGPU applications while reducing the overall NoC area footprint.
Torsional splittings in the v 12=1 vibrational state of Si2H6: analysis of the ν6+ν12 and ν9+ν12(E) combination bands in the high resolution infrared spectrum

The ν6 + ν12 and ν9 + ν12(E) vibrational combination bands of disilane (Si2H6) have been measured at high resolution and analysed. A few K-branches of the hot band associated with ν9 + ν12(E), originated from the torsional state v4 = 1, have also been observed and analysed. These observations give information on the effects of the v12 = 1 vibrational state, not directly accessible in the infrared, on the molecular internal rotation. From the vibrational frequencies of ν9 + ν12(E) and its related hot band, determined in this work, and those of ν9 and its hot band determined previously, we can determine that the torsional barrier height changes by −19.25 cm−1 if the ν12 mode is excited by one quantum. This causes the torsional splitting to increase by about 0.0038 cm−1. The observed torsional splitting in the ν6 + ν12 vibrational state is larger than in the ground vibrational state by 0.0024 cm−1, with a 0.0033 cm−1 change caused by the lowering of the barrier height and a −0.0009 cm−1 change caused by the head–tail and torsional Coriolis mechanisms. The torsional splitting observed in the ν9 + ν12(E) state, −0.0043 cm−1, is inverted with respect to the ground vibrational state (0.0150 cm−1 in the lowest torsional state), showing that this state is closer to the E2s than to the E1d vibrational symmetry description. The analysis of perturbations observed in the rotation–torsion structure of ν9 + ν12(E) yields information on the vibrational states ν2 + ν4 and ν4 + ν11, and on the E3d torsional component of 4ν4 + ν12.
Open Innovation Strategies and Appropriability in Knowledge-Intensive Business Services: Evidences and Implications in the Brazilian Context

This paper analyzes open innovation strategies and their implications on appropriability and performance in Knowledge-Intensive Business Services (KIBS) firms which operate in the Brazilian market. This is cross-sectional research relying on the survey method. Data was collected through a questionnaire applied to 345 firms that provide Information Technology (IT) and Business Management Consulting services. Cluster analysis was the main technique employed for data analysis. The results showed that KIBS firms, whose inbound and outbound flows difference is small, eventually use appropriation mechanisms to a greater extent and adopt the selective revealing strategy more intensely. It is concluded that Brazilian KIBS firms adopt inbound knowledge flows more intensely, and that firms herein labelled as “neutral” presented greater appropriation and innovation performance than “externalizing”, “internalizing” or “very internalizing” firms.
Motion analysis of the mandible: concept for standardized evaluation of computer-assisted recording of condylar movements Bewegungsanalyse des Unterkiefers: Konzept zur standardisierten Auswertung computerunterstützter Aufzeichnung kondylärer Bewegungen

1. PD. Dr. med. dent. M. Oliver Ahlers, CMD-Centrum HamburgEppendorf sowie Poliklinik für Zahnerhaltung, Zentrum für Zahn-, Mundund Kieferheilkunde, Universitätsklinikum Hamburg Eppendorf 2. Prof. Dr. med. dent. Olaf Bernhardt, Poliklinik für Zahnerhaltung, Zentrum für Zahn-, Mundund Kieferheilkunde der Ernst-Moritz-Arndt-Universität Greifswald 3. Prof. Dr. med. dent. Holger A. Jakstat, Vorklinische Propädeutik und Werkstoffkunde, Poliklinik für Zahnärztliche Prothetik und Werkstoffkunde, Zentrum für Zahn-, Mundund Kieferheilkunde, Universität Leipzig M. O. Ahlers1, O. Bernhardt2, H. A. Jakstat3, B. Kordaß4, J. C. Türp5, H. J. Schindler6, A. Hugger7
The determination of the peroxide values of edible fats and oils: The iodimetric method

Factors which influence the determination of peroxide values by the iodimetric method have been investigated. These include dissolved oxygen and moisture in the reagent, time and temperature of reaction, and amount of fat taken. The necessity for adequate de-aeration of the reagent before admixture with the fat had been demonstrated for this, as previously for the photometric ferrous salt method, but the ratio between the “aerobic” and “anaerobic” values is much smaller for the iodimetric than for the ferrous salt method. Alternative procedures for determination of iodimetric peroxide values are recommended by (a) a “cold” method involving standing at laboratory temperature for one hour, or (b) a rapid “hot” method involving heating at the boiling point of the solvent for two minutes. The increase in apparent peroxide value observed in earlier iodimetric procedures when the quantity of fat taken for the determination was reduced, has been shown to be due to an increasing error reuniting from further oxidation of the fat by dissolved oxygen during the determination, rather than to a decreasing error due to loss of iodine by re-absorption. In both the procedures now recommended, exclusion of atmospheric oxygen is adequate and the results, within reasonable limits, are independent of the size of the sample of fat taken.
Epigenetic control of autophagy in women’s tumors: role of non-coding RNAs

Cancer remains the second leading cause of death worldwide and a major public health and economic issue. To reduce the burden, new approaches are necessary to diagnose the disease at early stages and improve clinical outcomes of cancer patients, for which understanding the molecular mechanisms of carcinogenesis is crucial. Autophagy is a pro-survival pathway that ensures the removal and renewal of cellular macromolecular structures, thus playing a crucial role in the maintenance of cellular homeostasis. Dysregulation of autophagy can favor chemoresistance and survival of dormant cancer cells, thus favoring cancer progression and relapse. Several studies report dysregulated expression of long non-coding RNAs and micro-RNAs acting as tumor suppressors or tumor promoters by targeting genes involved in the autophagy pathway. Here, we focus on the role played by non-coding RNAs-mediated regulation of autophagy in development and progression of cancers in women. Understanding how epigenetics can impact autophagy might open novel therapeutic strategies in the fight against cancers in women.
Antioxidant, Antimicrobial Activities and HPLC Quantitative Analysis of Some Sudanese Medicinal Plants

The objective of this study was to evaluate the antimicrobial and antioxidant activities and to determine some of bioactive components of ethanolic extract of Adansonia digitata fruit pulp, Hibiscus sabdariffa flower, Hyphaene the baica fruit pulp and Ziziphus spina Christi fruit pulp. The ethanolic extracts of the plants were tested against four bacterial strains (Escherichia coli, Pseudomonasaeruginosa, Bacillus subtilis and Staphylococcus aureus) and two fungal species (Candida albicans and Aspergillus niger) using disc diffusion method. Different plants extracts showed variable activity against all the tested microorganisms. The plant extracts were evaluated for their antioxidant activities using DPPH (2,2-diphenyl-1-picrylhydrazyl) and ABTS (2,2'-azino-bis-3-ethylbenzothiazoline-6-sulphonic acid) radical scavenging assays. The highest result of antioxidant activity by DPPH and ABTS assays was observed in Adansonia digitata fruit pulp extract (77.4%) with IC50 of 0.273 μg mL -1 and Hyphaene the baica fruit pulp extract (79.02%) with IC50 value of 0.0808 μg mL -1. The identification and quantification of ascorbic acid, gallic acid and quercetin in the samples ethanolic extracts was performed by a HPLC-PDA method. These compounds have been detected in all the tested extracts.