Miracle-dz/UniFAR-FTUs huggingface dataset:
A study of outcomes in patients undergoing nerve preserving surgery in colorectal cancers

Background: Colorectal cancers are third most commonly diagnosed cancer globally. Its management consist mainly of surgical intervention to achieve an oncologic cure but also to preserve function. Introduction of nerve-preserving TME technique, spares the nerve and plexus pivotal for urinary and sexual function. The study assessed the urinary and sexual function after nerve sparing colorectal surgery. Aims and objective were to check functional outcomes after nerve preservation in patient undergoing colorectal cancer surgery, in terms of urinary and sexual function.Methods: A prospective observational study conducted from January 2019 to July 2020, in the department of surgery and oncosurgery, Dr. BRAM Hospital, Raipur, Chhattisgarh.Results: According to IPSS score, post-operatively, 57.5% showed fair urinary function, 22.5% showed good urinary function and 20% showed poor urinary function at 1 month. At 3 months, 80% showed good urinary function, 15% showed fair urinary function and 5% showed poor urinary function. According to IIEF score in males, post-operatively, at 1 month, 52% had a fair score, 40% had a poor score and 8% had a good score. At 3 months, 68% had a good score, 24% had a fair score and 8% had a poor score. According to FSFI score in females, post-operatively, at 1 month, 40% had a good score, 26.6% had fair score and 33.33% had a poor score. At 3 months, 66.67% had a good score, 13.33% had a fair score and 20% had a poor score.Conclusions: Nerve preserving surgery in colorectal cancer significantly preserves urinary and sexual function.
Extreme anisotropy of graphite and single-walled carbon nanotube bundles

The anisotropic elastic properties of hexagonal crystals are examined in this letter. It is found that graphite possesses extreme properties with the highest anisotropy degree and the lowest shear modulus to Young’s modulus ratio compared with all other known hexagonal crystals. Further, single-walled carbon nanotube (SWNT) bundles, as a kind of hexagonal material, have higher anisotropy degree and lower modulus ratio than those of graphite. These extreme mechanical properties of graphite and SWNT bundles promise great application potentials in composites, sensors, and functional materials.
A NF-κB/c-myc-Dependent Survival Pathway Is Targeted by Corticosteroids in Immature Thymocytes

Glucocorticoid hormones modulate T cell maturation in vivo. While low levels of hormones are required for appropriate T cell development, high levels of glucocorticoid hormones target immature developing thymocytes for cell death during systemic stress. In this report, we propose a molecular mechanism for the induction of apoptosis in CD4+CD8+ double-positive thymocytes by dexamethasone in vivo. Dexamethasone injection induced the expression of IκBα and IκBβ in thymocytes and down-regulated NF-κB DNA binding activated by intrathymic signals. Down-regulation of NF-κB DNA binding preceded cell death, suggesting that NF-κB may be important for the survival of immature thymocytes. In addition, ex vivo treatment of thymocyte single-cell suspension with dexamethasone accelerated p65/RelA down-regulation and cell death. Conversely, NF-κB induction diminished dexamethasone-induced death. Expression of the c-myc proto-oncogene, a NF-κB target, was also reduced in thymocytes of dexamethasone-treated animals, and ectopic transgenic expression of c-myc in mice provided partial rescue of double-positive thymocytes from dexamethasone mediated cell death. These observations suggest that viability of CD4+CD8+ thymocytes may be maintained by an NF-κB/c-myc-dependent pathway in vivo.
Pay TV Product quality and customer satisfaction: An investigation

The pay TV service sector in Nigeria is growing rapidly as new entrants are joining the market and consumers are adopting several brands to suit their needs. This implies a high rate of competition among the service providers to win over customer and expand their market share. The main objective of this study is to examine the effects of product quality on Pay TV customer satisfaction. The study used a survey research design and sampled 397 Pay TV subscribers. A total of 241 copies of the questionnaire were returned and the study hypotheses were tested using the multiple regression analysis. The study findings revealed that content quality, reception quality, and customer service has a positive and significant relationship and impact on Pay TV customer satisfaction. The study recommends that to increase the level of customer satisfaction and win the competitive war, operators in the pay TV service sector should improve their customer service unit, improve the stability of reception irrespective of weather conditions, maintain unique, educative and entertaining contents to stay ahead of competition while maintaining a competitive price.
Gender Differences in Using Social Media in Language and Literature Teaching in Multicultural Context

This paper presents a systematic review of the literature on gender differences using social media to teach language and literature in multicultural contexts published in EBSCO, ERIC, Google Scholar, and SAGE databases. The articles reviewed were put on a grid to facilitate thematizing the data needed to answer the objectives. The findings of the study revealed a gender divide as regards the use of social media, such as females tend to utilize available social media platforms more than males in the case of teachers and show more positive responses to social media use in the classroom. Generally, social media proved to hone the language skills (e.g., writing, reading) and critical thinking skills of the learners, improve communicative competence, develop vocabulary, promote language learning inside and outside the classroom, increase individual and group motivation to learn and succeed, engage students in critical, creative, and collaborative participation in transforming the textual world into a dynamic online community, create meaningful connections for authentic language situations, and support various types of learning styles. Finally, the paper suggests further research on gender differences in social media usage in gender-sensitive teaching in language and literature.
Multi-Beam Leaky-Wave Antenna: Design, Analysis, and Experiments

Abstract In this article, a novel multi-beam leaky-wave antenna composed of a dual-composite right-/left-handed meta-surface, including the defected ground structure contribution, is presented. The multi-mode operation of the antenna provides two different types of beams. The first, which is radiated from the meta-surface at the fundamental mode, is capable of continuous scanning from backward to forward angles. The second, which is radiated from the defected ground structure at the higher-order mode, is fixed at 59°. Operating principles are explained theoretically and experimentally. The measured radiation patterns demonstrate that the proposed antenna has two discrete scanning angles.
Design of Personalized VR Short Video Content Distribution Algorithm based on Artificial Neural Network

—In order to improve the video quality, reduce the number of video jams, and improve the video transcoding rate, a new personalized distribution algorithm of VR short video content based on artificial neural network is proposed. BP neural network is used to compress the original video and determine the execution mode and cache location of VR short video cache file; Transcoding cached high bit rate VR short video stream to generate low bit rate video stream to meet the needs of different network bandwidth; Build a video distribution model, and build a multicast distribution tree based on this model, that is, add some relay servers to minimize the video distribution cost; Finally, through the algorithm of minimizing the distribution cost of VR short video, the bandwidth loss and response delay are effectively reduced to achieve the goal of minimizing the distribution cost. The experimental results show that the video blocking times of this method are always less than six times, which effectively reduces the video blocking times. The PSNR value is high, the increase is large, up to 0.5, and the video transcoding rate is improved, up to 92%.
Stability of electrical switching properties in vanadium dioxide thin films under multiple thermal cycles across the phase transition boundary

The influence of successive thermally induced metal-insulator transition (MIT) on electrical transition characteristics in high quality vanadium dioxide (VO2) thin films synthesized by reactive sputtering was investigated in conjunction with structural studies. We show that the transition quality of VO2 thin films was largely unaffected up to ∼100 heating-cooling cycles with respect to hysteresis width, resistivity ratio, and MIT onset temperature. The hysteresis width decreased by ∼3% along with an enhancement in film texture, while no reduction in resistivity ratio or MIT temperature was observed, implying that the stoichiometry of overall VO2 thin film did not degrade under multiple thermally induced transitions. The results are of potential relevance to solid state sensing elements utilizing vanadium oxide.
Wave solutions of the time-space fractional complex Ginzburg-Landau equation with Kerr law nonlinearity

In this paper, the bifurcation theory of dynamical system is applied to investigate the time-space fractional complex Ginzburg-Landau equation with Kerr law nonlinearity. We mainly consider the case of α ≠ 2β which is not discussed in previous work. By overcoming some difficulties aroused by the singular traveling wave system, such as bifurcation analysis of nonanalytic vector field, tracking orbits near the full degenerate equilibrium and calculation of complicated elliptic integrals, we give a total of 20 explicit exact traveling wave solutions of the time-space fractional complex Ginzburg-Landau equation and classify them into 11 categories. Some new traveling wave solutions of this equation are obtained including the compactons and the bounded solutions corresponding to some bounded manifolds.
Rancang Bangun Peringatan Banjir Di Jalan Cipto Mangun Kusumo Berbasis Arduino

Jika terjadi hujan deras, banjir sering terjadi di satu area di Jalan Cipto Mangun Kusumo, yang merupakan jalan utama di Kota Samarinda. Banjir yang umumnya terjadi di sore hari ini menyebabkan masyarakat terjebak berjam-jam di jalan tersebut saat pulang kerja atau kuliah karena di sekitar area ini terdapat banyak perusahaan dan kampus perguruan tinggi. Sebenarnya terdapat jalan alternative lain, tetapi Jalan Dr. Ciptomangunkusumo merupakan jalan terpendek. Agar masyarakat dapat mengetahui situasi terkini di area rawan banjir untuk menentukan saat masyarakat pulang dari kerja sering terjadi banjir yang bahkan dapat menyebabkan kemacetan. Maka dirancang alat pendeteksi banjir di Jalan Cipto Mangun Kusumo Berbasis Arduino. Arduino untuk sensor node dan display node adalah Arduino Nano, sedangkan control node menggunakan Arduino Uno. Sensor ultrasonik HCSR-04 pada sensor node akan mendeteksi ketinggian air yang kemudian data dari sensor node akan dikirimkan ke dengan sistem komunikasi LoRa. Data yang diterima oleh control node merupakan data dari sensor node1 dan sensor node2 yang kemudian akan diperoleh hasil perhitungan (rata-rata). Data dari control node akan dikirimkan ke display node yang akan menampilkan data pada papan display berupa tinggi air dan pesan sesuai kondisi tinggi air
A Retrospective Study On Liver Function Tests & Urine Protein in Presumptive Non-Alcoholic Fatty Liver Cases Performed in A Local Private Laboratory Service

Non-alcoholic fatty liver disease (NAFLD) could be diagnosed either by imaging or histology, and laboratory parameters from RFT such as AST, ALT, GGT, as well as UP. In this study, data were collected from Advanced Pathology Sdn. Bhd. The data collected from random population in the year of 2020 were used to identify the association between the parameters of AST, ALT, GGT and UP in presumed NAFLD patients, which are being compared by age, and gender. The results show that the level of GGT was having an insignificant association between gender (p >0.05), but there is a statistically significant association between the age group of respondents (p <0.05). In addition, results from AST indicated that the gender of respondents has a significant relationship with AST (p <0.05), however insignificant correlation between the age group (p >0.05). While for ALT, it proved an insignificant correlation between the gender of respondents (p >0.05), but significant correlated with the age of respondents (p <0.05). Lastly, Chi-square test independence gave a result of p-value = 0.137 (p >0.05), which proved insignificant correlation between gender of respondents and presence of UP andp-value = 0.261 (p >0.05), which proved insignificant correlation between age of respondents and presence of UP. (Chi-square test, p-value <0.05).
A NEW HIGH-SENSITIVITY 10-NS TIME-RESOLUTION SPECTROPHOTOMETRIC TECHNIQUE ADAPTED TO IN VIVO ANALYSIS OF THE PHOTOSYNTHETIC APPARATUS

A new spectrophotometric technique has been developed in which the absorption is sampled by short flashes produced by an optical parametric oscillator (OPO) pumped by the third harmonic of a Nd:YAG laser. Continuously tunable monochromatic flashes (6 ns duration, 1 nm bandwidth) are obtained in a domain ranging from 415 to 680 nm and 730 to 2000 nm. Light-induced absorption changes can be analyzed in a time window ranging from 10 ns to 100 s, with a 10−5 noise level. This new technique opens areas of research which are not accessible to previously existing spectrophotometers. Indeed, the high energy of the detecting flashes allows the analysis of samples of large optical density such as leaves, in the blue region of the spectrum. A few examples of application of this method to the analysis of electron transfer reactions in different types of photosynthetic apparatus (leaves, unicellular algae, and bacteria) are presented. This technique is also well suited to analyze the photodissociation of ligands assoc.
Package ‘eva’

October 13, 2022 Title Extreme Value Analysis with Goodness-of-Fit Testing Date 2020-11-14 Version 0.2. 6 Description Goodness-of-fit tests for selection of r in the r-largest order statistics (GEVr) model. Goodness-of-fit tests for threshold selection in the Generalized Pareto distribution (GPD). Random number generation and density functions for the GEVr distribution. Profile likelihood for return level estimation using the GEVr and Generalized Pareto distributions. P-value adjustments for sequential, multiple testing error control. Non-stationary fitting of GEVr and GPD. Bader, B. , Yan, J. & Zhang, X. (2016) <doi:10.1007/s11222-016-9697-3>. Bader, B. , Yan, J. & Zhang, X. (2018) <doi:10.1214/17-AOAS1092>. Imports Matrix, parallel, stats, graphics, utils, EnvStats Depends R(>= 2.10.0) Suggests rmarkdown, knitr, SpatialExtremes License GPL (>= 2) Repository CRAN VignetteBuilder knitr
A narrative review on laboratory investigations of serum creatinine and solutions to problems therein

Introduction: It is of utmost importance to assess renal function accurately for the proper management of renal failure. Serum creatinine level is used to calculate the creatinine clearance which is used to measure the glomerular filtration rate (GFR) and in grading different stages of chronic kidney disease (CKD). Therefore, the accurate measurement of serum creatinine is of great importance. This review aimed to explain the different methods used in serum creatinine determination and solutions to problems in some of the methods. Methods: A narrative review was conducted with 28 articles searched through the Web searching engine Google Scholar and academic research databases using keywords creatinine, isotope dilution mass spectrometry, high performance liquid chromatography (HPLC), Jaffe reaction, creatinase enzyme and bilirubin. Results: There are different methods available in the determination of serum creatinine level in the medical laboratory sector including isotope dilution mass spectrometry, HPLC, Jaffe reaction and creatinase enzymatic method. Conclusion: Jaffe reaction is the most widely used method to determine serum creatinine levels worldwide. However, this method has several drawbacks and corrective methods are adopted. Keywords: Creatinine, Isotope dilution mass spectrometry, High Performance Liquid Chromatography, Jaffe reaction, Creatinase method, Bilirubin
Scientific Publishing in Biomedicine: A Brief History of Scientific Journals

Scientific publishing, with about 350-year historical background, has played a central role in advancing science by disseminating new findings, generalizing accepted theories, and sharing novel ideas. The number of scientific journals has exponentially grown from 10 at the end of the 17th century to 100,000 at the end of the 20th century. The publishing landscape has dramatically changed over time from printed journals to online publishing. Although scientific publishing was initially non-commercial, it has become a profitable industry with a significant global financial turnover, reaching $28 billion in annual revenue before the COVID-19 pandemic. However, scientific publishing has encountered several challenges and is suffering from unethical practices and some negative phenomena, like publish-or-perish, driven by the need to survive or get a promotion in academia. Developing a global landscape with collaborative non-commercial journals and platforms is a primary proposed model for the future of scientific publishing. Here, we provide a brief history of the foundation and development of scientific journals and their evolution over time. Furthermore, current challenges and future perspectives of scientific publishing are discussed.
BrainNet-7: A CNN Model for Diagnosing Brain Tumors from MRI Images based on an Ablation Study

—Tumors in the brain are masses or clusters of abnormal cells that may spread to other tissues nearby and pose a danger to the patient. The main imaging technique used to determine the extent of brain tumors is magnetic resonance imaging, which ensures an accurate diagnosis. A sizable amount of data for model training and advances in model designs that provide better approximations in a supervised environment likely account for most of the growth in Deep Learning techniques for computer vision applications. Deep learning approaches have shown promising results for increasing the precision of brain tumor identification and classification precision using magnetic resonance imaging (MRI). This study’s purpose is to describe a robust deep-learning model that categorizes brain tumors using MRI images into four classes based on a convolutional neural network (CNN). By removing artefacts, reducing noise, and enhancing the image, unwanted areas of brain tumors are deleted, quality is improved, and the tumor is highlighted. Several CNN architectures, including VGG16, VGG19, MobileNet, MobileNetV2, and InceptionV3, are investigated to compare or get the best model. After getting the best model, a hyper parameter ablation study was performed on that model. Proposed BrainNet-7 achieved the best results with 99.01% test accuracy and 99.21% test and validation accuracy.
Research on Key Technologies of Smart City Building Interior Decoration Construction based on In-Depth Learning

—The intelligentization of building interior decoration construction is of great significance to the construction of smart city, and robot automation has brought an opportunity for this. Robot self-decoration is the development trend in the future. One of the key issues involved, is the self-planning of mobile path. In this regard, the research adopts the proximal policy optimization algorithms (PPO) to improve the self-planning path ability of the decoration robot. For the information of lidar and robot status, the Full Connect Neural Network (FCNN) is used to process it. In addition, the reward function and the corresponding Credit Assignment Problem (CAP) model are designed, to accelerate the learning process of path planning. Aiming at the dynamic uncertainty in the actual environment, the adaptive loss function is used to build an auxiliary model to predict the environmental change. The simulation results show that the research and design strategy significantly improves the learning efficiency and path planning success rate of the decoration robot, and shows good adaptability to the dynamic environment, which has important reference significance for the practical application of the decoration robot.
Oscillating Agent Model: Quantum Approach

Enabled by recent neuroscience and especially electroencephalogram (EEG) studies, this paper describes a conceptually novel modeling approach, based on quantum theory, to basic human mind states as systems of coherent oscillation. The aim is to bridge the gap between fundamental theory, experimental observation and the simulation of agents’ mind states. The proposed approach, i.e. an oscillating agent model (OAM), reveals possibilities of employing wave functions and quantum operators for a stylized description of basic mind states and the transitions between them. In the OAM the basic mind states are defined using experimentally observed EEG spectra, i.e. brainwaves (delta, theta, alpha, beta and gamma), which reveal an oscillatory nature of agents’ mind states. Such an approach provides an opportunity to model the dynamics of basic mind states by employing stylized oscillation-based representations of the characteristic EEG power spectral density (PSD) distributions of brainwaves observed in experiments. In other words, the proposed OAM describes a probabilistic mechanism for transitions between basic mind states characterized by unique sets of brainwaves. The instantiated theoretical framework is pertinent not only for the simulation of the individual cognitive and behavioral patterns observed in experiments, but also for the prospective development of OAM-based multi-agent systems.
The Performances of Hybrid Grouper, Epinephelus fuscoguttatus × E. lanceolatus Fed with Defatted Soybean Meal-Based Feeds with Supplementation of Phytase

Fish meal is the primary protein ingredient in fish feed and this material is expensive and non-renewable. However, the use of plant protein in marine fish feed such as soybean meal products are limited due to anti-nutritional factor that hindered fish performances. Therefore, hybrid grouper, a cross between tiger grouper (Epinephelus fuscoguttatus) and giant grouper (E. lanceolatus) was evaluated using defatted soybean meal (DSM) based feed and phytase. DSM- based feeds (30% of protein replacement) with supplementation of phytase at 0 and 2000 FTU/kg dosages, as well as a control feed (CON) comprised completely of fish meal (FM) was given to the hybrid grouper with an initial body weight of 6.2±0.0g. Each experimental feed was formulated with 50% of crude protein and 12% of crude lipid. The fish were raised in 100L fiberglass tanks equipped with a flow-through water system for each triplicate treatment. The hybrid grouper was fed with the respective feeds twice a day until the perceived satiation level for 12 weeks. Hybrid grouper fed CON and DSM-based feed did not exhibit any significant difference in growth. However, hybrid grouper fed with DSM-based feed grew larger compared to that fed with CON. Hybrid grouper fed with DSM-based feed showed significantly higher feed intake, lower net protein utilization, hepatosomatic index, viscerosomatic index, and apparent digestibility coefficient (ADC) protein values (p<0.05). The value of ADC of phosphorus was slightly higher in DSM-based feed supplemented with phytase at a dosage of 2000 FTU/kg. No significant effect was observed on body proximate composition, morphological condition of the intestine, and ADC of lipids in all the treatments. The results show that hybrid grouper can effectively consume 30% DSM-based feed and supplementing phytase did not affect the fish performances.