Miracle-dz/UniFAR-FTUs huggingface dataset:
Prognostic evaluation of patients with resectable lung cancer using systemic inflammatory response parameters

Lung cancer is one of the leading causes of cancer-associated mortality. C-reactive protein (CRP), albumin (ALB), globulin (GLB), lactate dehydrogenase (LDH), neutrophil-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) have been identified as general parameters for systemic inflammatory response (SIR). Furthermore, these parameters are also associated with tumor development and metastasis. The present study aimed to investigate the predictive values of these SIR parameters in patients with resectable lung cancer. In total, 101 patients with resectable lung cancer were recruited in the present study. The patients were divided into two groups according to the median value of pre-treatment CRP, ALB, GLB, LDH, NLR or PLR values. The post-/pre-treatment ratios were defined as the ratio of pre-treatment blood parameter values and the corresponding values obtained following therapy. A ratio of ≤1.1 indicated that the values were not increased, while a ratio of >1.1 suggested that the values were increased following treatment. Patients with lower pre-treatment ALB levels had poorer overall survival (OS) rates, whereas GLB, LDH, CRP, NLR or PLR levels were not associated with outcomes. Whole course treatment (surgery combined with adjuvant chemotherapy) significantly increased the value of ALB, but decreased the value of NLR, whereas it had no effect on the values of LDH, CRP or PLR. Post-/pre-treatment LDH and PLR were associated with outcomes. Post-/pre-treatment ALB, GLB, CRP and NLR were not associated with outcomes. Multivariate analysis revealed that a low pre-treatment ALB level and increased post-/pre-treatment PLR were independent risk factors affecting OS. The receiver operating characteristic curve analysis demonstrated that an ALB value of 47.850 g/l was considered to be the optimal cut-off value for prognosis; the sensitivity was 28.8% and specificity was 95.9%. It was suggested that the pre-treatment ALB and post-/pre-treatment PLR may be potential prognostic factors in resectable lung cancer.
Visualizing the segmentation error of a tomogram using the residual projection error

Tomographic reconstructions are often segmented to quantify structure parameters. However, to our knowledge, no efforts have yet been made to visualize the accuracy of the segmentation result. This paper introduces a way to visualize the segmentation error, based on the residual projection error, which is the difference between the recorded data and the forward projection of the segmented tomogram. From the residual projection error, a segmentation error tomogram is reconstructed. This error tomogram allows to detect errors in the gray levels of the segmented tomogram, or to discriminate between reconstruction artifacts and actual features of the scanned object. The proposed technique is independent of the algorithms that were used to create and segment the tomogram.
MapReduce Platform for Parallel Machine Learning on Large-scale Dataset

We propose a computing platform for parallel machine learning. Learning from large-scale data has become common, so that parallelization techniques are increasingly applied to machine learning algorithms in order to reduce calculation time. Problems of parallelization are implementation costs and calculation overheads. Firstly, we formulate MapReduce programming model specialized in parallel machine learning. It represents learning algorithms as iterations of following two phases: applying data to machine learning models and updating model parameters. This model is able to describe various kinds of machine learning algorithms, such as k-means clustering, EM algorithm, and linear SVM, with comparable implementation cost to the original MapReduce. Secondly, we propose a fast machine learning platform which reduces the processing overheads at iterative procedures of machine learning. Machine learning algorithms iteratively read the same training data in the data application phase. Our platform keeps the training data in local memories of each worker during iterative procedures, which leads to acceleration of data access. We evaluate performance of our platform on three experiments. Our platform executes k-means clustering 2.85 to 118 times faster than the MapReduce approach, and shows 9.51 times speedup with 40 processing cores against 8 cores. We also show the performance of Variational Bayes clustering and linear SVM implemented on our platform.
Dataspillavhengighet : en oversikt over utbredelse, måling, korrelater, og behandling

I forskningsmiljoene har det vaert diskutert hvorvidt dataspillavhengighet (overdreven ogtvangspreget dataspilling) er et nyttig begrep, hvordan det skal defineres og hva slagsforklaringsmodeller som er mest passende. Per dags dato finnes det ingen standardisertmal for dataspillavhengighet, noe som har fort til at estimater for utbredelse av problemeter varierende. Studier av utbredelses viser at unge menn er overrepresentert blant deavhengige. Forskning indikerer at lav selvfolelse, lav sosial kompetanse, ensomhet ogimpulsivitet predikerer dataspillavhengighet. Ensomhet, sosial angst og depresjon ser uttil a vaere konsekvenser. Hittil har det vaert publisert fa behandlingsstudier. Forslag tilvidere forskning diskuteres.
The multiple roles of steroids and anabolic steroids and its relations to cardiovasular and musculoskeletal pathology: a brief review

Steroids constitute a special category of compounds, which are abundant to all organisms ranging from lower species in the evolutionary chain to higher mammals and humans. A special subcategory of steroids determine sex in organisms and are produced by the gonads in humans. Naturally occurring steroids and synthetic steroids are utilized for treatment purposes or as anabolics. Flashing back to the history of anabolics, it is worth mentioning that the action of steroids as artificial strengtheners is known since the early 1930s. At that time, testosterone was found to be the hormone that attributes the sex characteristics to males and participates in sexual maturation of juveniles. Further on, tests of steroids as medication alternatives were reported back in the late 1930s. They were used in cases known as “the Eunuch syndrome”, sexual impotence, starvation, crypsorchy and through treatments, in cases of extended burnings. Until then, however, they were known only for their therapeutic applications. At the same time, steroids became popular for their anabolic characteristics. In particular, it became evident that steroids were contributing to the formation of muscle tissue and improvement of physical endurance. Such experiments were performed for the first time in Nazi Germany in the late 1930s (approximately 1939) and came to certify that steroids did have an impact on muscle formation and endurance. Thereon, steroids have Abstract Steroids are defined as compounds included in the family of terpenoid lipids. Specifically, anabolic steroids are synthetic steroids of the androgen steroids. Since the beginning of the 20 century, anabolic steroids have proven influence on physical strength, endurance and muscle tissue synthesis. They have been used both for military purposes as well as for athletic achievements. Their use has been expended thereafter up to the point that side-effects began to become apparent. To date, it is well documented that anabolic steroids have adverse side effects on the primary and secondary sex characteristics. Steroids attribute male characteristics to females, and, at the same time, sterility and erection dysfunctions to males. Several studies have shown that the use of anabolic steroids is connected to dysfunctions of the cardiovascular system. No direct adverse effects have been reported on the function of cardiovascular system during the use of anabolic steroids, however, it has been shown that there is an indirect connection between anabolic steroids and cardiovascular disease. Steroids elevate levels of cholesterol and triglycerides which both are related to high risk of cardiovascular disease. The present work reviews the hitherto known connections between steroids in general, both synthetic and naturally occurring to the risk or not of cardiovascular disease.
Palliative care in thoracic oncology

The vast majority of patients suffering from lung cancer are bound to die from their disease. Correspondingly, chronic or acute symptoms most often dominate the course of their disease from diagnosis to death, and are either caused by the disease itself or, sometimes, by tumour-specific therapeutic measures. Among those symptoms, pain, dyspnoea, fatigue and cough are the most frequent [1, 2]. In some European countries, lung cancer patients are mainly treated by pneumologists, including chemotherapy, or in specialised institutions (chest hospitals), which include thoracic surgery and radiotherapy units [3]. This is likely to be mainly due to the fact that frequent local complications caused by lung cancer, such as central airways obstruction, pleural effusion, pneumonia or haemoptysis, all of which require an immediate pneumological management. Consequently, pneumologists began to meet the upcoming challenge and need for palliative treatment of their patients with thoracic malignancies, as well as pneumological patients with non-malignant terminal illnesses accompanied by a high burden of symptoms [4]. In recent years, palliative care has changed from being an additional provision to tumour-specific treatment measures limited to end-of-life situations. Nowadays increasingly it has developed to being the most comprehensive treatment concept, at least for patients with incurable disease. Previously, pneumologists’ understanding of palliative care was more or less restricted to the medical treatment of disease-related symptoms [5]. Even now, such a restricted conceptual scope is perceived by some authors [6]. However, it is becoming more evident that palliative care has the potential to be the most individual, complex and thorough approach to any chronically ill patients, especially those with malignancy, who need more than medical treatment, as well as prognostically relevant or curative treatment methods specific to the tumour. This widening approach is given in table 1 …
Treatment Guidelines of Severe Sepsis and Septic Shock

Severe sepsis and septic shock are common health care problem with high mortality. In 2001, Early goal directed therapy was introduced, early appropriate therapy impact on the outcome. In 2012, the “Surviving Sepsis Campaign: International Guidelines for Management of Severe Sepsis and Septic Shock: 2012” was updated. Since then, several landmark studies recently demonstrated that modified guidelines. We review the treatment guidelines of severe sepsis and septic shock. J Neurocrit Care 2015;8(1):9-15
Boolean matrix decomposition and extension with applications

ii PREFACE . iv ACKNOWLEDGEMENTS. v CHAPTER
Comparison Performances of PSO and GA to Tuning PID Controller for the DC Motor

A DC motor widely uses for sensitive speed and position in industry. Stability and productivity of a system are important for controlling of a DC motor speed. Stable of speed which affected from load fluctuation and environmental factors. Therefore, it is important for the speed value which is required as constant and to keep it as its value. In this study, it is aimed that the speed value which is achieved as required value and keeping it as constant using Proportional, Integral and Derivative (PID) controller for tuning parameters. Firstly, Ziegler-Nichols (ZN) is one of a traditional method used. PID parameters are determined with responses of open-loop under running system. Later, parameters of the PID are estimated using two metaheuristic algorithms such as Particle Swarm Optimization (PSO) and Genetic Algorithm (GA). As a result, three algorithms’ results are compared based on five criteria. The PSO algorithm produces better results than Genetic Algorithm for each criteria.
Charge redistribution and noise margins in domino CMOS logic

Domino CMOS gates suffer from an inherent noise margin problem as a result of charge redistribution between parasitic capacitances at internal nodes of the circuit under specific input conditions. This charge redistribution effect can destroy the noise margin and cause glitches at the output of a domino gate. This paper deals with circuit and layout techniques which can help in alleviating the problem. A simple analytical noise margin model for domino gates is discussed. The model is useful to monitor the noise margins of a domino gate while dimensioning the devices in the gate to obtain a specified gate delay. A new technique which allows the design of domino gates with a very large fan-in (typically 20 or more inputs), while maintaining good noise margins and acceptable gate delays, is presented. This technique is useful in, for example, decoder circuits.
Upaya Agensi Melawan Logika Jangka Pendek Jurnalisme Daring: Studi Kasus Tirto.id

Beberapa studi terdahulu menunjukkan bahwa jurnalisme daring mengikuti struktur logika jangka pendek. Logika tersebut berimplikasi pada praktik pemberitaan yang ringkas, berkelanjutan, sensasional, dan hanya mementingkan banyaknya jumlah clickers dan viewers . Akan tetapi, seiring berjalannya waktu, hadir media daring yang tidak mengikuti logika jangka pendek. Salah satunya adalah Tirto.id . Dengan menggunakan teori strukturasi sebagai kerangka pemikiran, penelitian ini mengkaji bagaimana bentuk-bentuk resistensi yang dilakukan oleh Tirto.id terhadap struktur logika jangka pendek. Sejak kehadirannya pada 2016, Tirto menyajikan bentuk baru jurnalisme daring yang disebutnya sebagai jurnalisme data/presisi. Hasil penelitian mengungkapkan bahwa berita panjang, mendalam, cover both sides , dan penuh data merupakan bentuk-bentuk resistensi yang dilakukan Tirto . Upaya resistensi dilakukan untuk mewujudkan visi membangun peradaban baru literasi daring di Indonesia.
Grammaires phrastiques et discursives fondées sur les TAG : une approche de D-STAG avec les ACG

Nous présentons une méthode pour articuler grammaire de phrase et grammaire de discours qui évite de recourir à une étape de traitement intermédiaire. Cette méthode est suffisamment générale pour construire des structures discursives qui ne soient pas des arbres mais des graphes orientés acycliques (DAG). Notre analyse s’appuie sur une approche de l’analyse discursive, Discourse Synchronous TAG (D-STAG), qui utilise les Grammaires d’Arbres Adjoint (TAG). Nous utilisons pour ce faire un encodage des TAG dans les Grammaires Catégorielles Abstraites (ACG). Cet encodage permet d’une part d’utiliser l’ordre supérieur pour l’interprétation sémantique afin de construire des structures qui soient des DAG et non des arbres, et d’autre part d’utiliser les propriétés de composition d’ACG pour réaliser naturellement l’interface entre grammaire phrastique et grammaire discursive. Tous les exemples proposés pour illustrer la méthode ont été implantés et peuvent être testés avec le logiciel approprié.
Kinderen en astmamedicatie : Kennis en attituden van ouders

Ontstekingsremmers zijn met luchtwegverwijders de twee typen medicijnen die doorgaans bij astma worden voorgeschreven. Beide soorten medicijnen worden meestal geinhaleerd. Bij ontstekingsremmers is dagelijks gebruik van belang, aangezien deze medicijnen alleen dan optimaal effect hebben. 40% van de ouders geeft hun kind echter alleen ontstekingsremmers tegen astma als het kind kortademig of benauwd is. Ouders die meer kennis hebben over de medicijnen van hun kind houden zich beter aan het voorgeschreven gebruik. Kennis en informatievoorziening aan ouders zijn belangrijk voor een goed medicijngebruik van hun kinderen. Dit blijkt uit een enquete onder de ouders van 229 kinderen die op 8-jarige leeftijd astmamedicijnen gebruikten. De ouders doen mee aan het zogeheten Preventie en Incidentie van Astma en Mijt Allergie (PIAMA)-onderzoek, waaraan het RIVM een bijdrage levert. Naarmate ouders meer weten over de medicijnen, zijn zij er sterker van overtuigd dat de medicijnen noodzakelijk zijn voor de gezondheid van hun kind. Van de ouders die bijvoorbeeld niet wisten 'dat je ontstekingsremmers altijd moet gebruiken, ook als het goed gaat', gaf slechts 25% hun kind de ontstekingsremmers dagelijks. Van de ouders die deze kennis wel hadden, gaf 84% hun kind de ontstekingsremmers elke dag. Ouders die naar eigen zeggen door hun zorgverleners beter waren geinformeerd, maakten zich minder zorgen over mogelijke ongunstige effecten van het medicijngebruik. Bij jonge kinderen zijn astma-achtige klachten in de meeste gevallen van voorbijgaande aard. Om onnodig medicijngebruik te voorkomen, wordt aanbevolen om regelmatig de arts te laten controleren of de ontstekingsremmers nog nodig zijn. Regelmatige controle is bovendien gewenst om na te gaan of kinderen hun medicijnen op de juiste, meest effectieve manier gebruiken.
Adaptive Control of IoT Wireless Networks in Shadowed Fading Channels

In this paper, a distributed transmission power control (TPC) scheme that jointly addresses the hidden and exposed terminal problem to enhance the spatial reuse and fairness performance of multi-hop wireless networks is proposed. Unlike other previous transmission power control schemes where the two-ray ground reflection (TRG) model is adopted, the proposed scheme is designed based on a log-normal shadowing (LNS) channel model. In addition, transmission power selection strategies to further compensate the influences of shadowing are presented. Results demonstrate that the proposed scheme outperforms the other TPC schemes in terms of spatial reuse and power consumption, resulting in an improved throughput and energy efficiency.
Laparoscopic plication and mesh repair for diastasis recti: A case series

Introduction: Diastasis recti is a disorder defined as a separation of the rectus abdominis muscle into right and left halves which occurs principally in newborns and pregnant women. reports on laparoscopic repair are rare. Usually, the patients themselves request treatment. We here present a series of three patients who underwent laparoscopic repair for diastasis recti. case series: three patients, all female, presented with something bulging out of the abdomen with no other symptoms. All were multiparous. Laparoscopically, linea alba was plicated in the midline after taking simple horizontal sutures all along the defect from xiphisternum to just below umbilical region creating a neo-linea alba. then a tissue separating mesh was used to reinforce the plication either using tackers or transfascial sutures. Postoperatively, there was significant decrease in abdominal girth and patients complained of pain which decreased in 3-4 days and tightness in the abdomen which gradually reduced with time after discharge. conclusion: Laparoscopic plication of linea alba and placement of prosthetic mesh is very promising, safe operation for diastasis recti and could be the future for treatment of the same.
Computational path planner for product assembly in complex environments

Assembly path planning is a crucial problem in assembly related design and manufacturing processes. Sampling based motion planning algorithms are used for computational assembly path planning. However, the performance of such algorithms may degrade much in environments with complex product structure, narrow passages or other challenging scenarios. A computational path planner for automatic assembly path planning in complex 3D environments is presented. The global planning process is divided into three phases based on the environment and specific algorithms are proposed and utilized in each phase to solve the challenging issues. A novel ray test based stochastic collision detection method is proposed to evaluate the intersection between two polyhedral objects. This method avoids fake collisions in conventional methods and degrades the geometric constraint when a part has to be removed with surface contact with other parts. A refined history based rapidly-exploring random tree (RRT) algorithm which bias the growth of the tree based on its planning history is proposed and employed in the planning phase where the path is simple but the space is highly constrained. A novel adaptive RRT algorithm is developed for the path planning problem with challenging scenarios and uncertain environment. With extending values assigned on each tree node and extending schemes applied, the tree can adapts its growth to explore complex environments more efficiently. Experiments on the key algorithms are carried out and comparisons are made between the conventional path planning algorithms and the presented ones. The comparing results show that based on the proposed algorithms, the path planner can compute assembly path in challenging complex environments more efficiently and with higher success. This research provides the references to the study of computational assembly path planning under complex environments.
Throughput Maximization for Underlay Cognitive Radio Networks with RF Energy Harvesting

This paper presents a green cognitive radio networks (CRNs) framework with radio frequency (RF) energy harvesting, namely RF-powered cognitive radio networks (RF-CRNs), where secondary users (SUs) first harvests energy from the RF signals of primary users and then transmits data using the harvested energy in one slot. The total consumed energy by the SU must be equal or less than the total harvested energy referred to as energy causality constraint, while the transmission power of SU must be restricted in order to protect the primary user from interference, namely collision constraint. Finally, under the satisfaction of quality-of-service (QoS) of SU (namely throughput constraint), our goal is to determine an optimal transmitting time and power allocation that maximizes its throughput in the RF-CRNs. We achieved the optimal result by transforming optimization problem into convex optimization and then applying Lagrange multiplier methods. Extensive performance evaluations conducted show the efficiency of the proposed algorithm.
CD-HIT-OTU-MiSeq, an Improved Approach for Clustering and Analyzing Paired End MiSeq 16S rRNA Sequences

In recent years, Illumina MiSeq sequencers replaced pyrosequencing platforms and became dominant in 16S rRNA sequencing. One unique feature of MiSeq technology, compared with Pyrosequencing, is the Paired End (PE) reads, with each read can be sequenced to 250-300 bases to cover multiple variable regions on the 16S rRNA gene. However, the PE reads need to be assembled into a single contig at the beginning of the analysis. Although there are many methods capable of assembling PE reads into contigs, a big portion of PE reads can not be accurately assembled because the poor quality at the 3’ ends of both PE reads in the overlapping region. This causes that many sequences are discarded in the analysis. In this study, we developed a novel approach for clustering and annotation MiSeq-based 16S sequence data, CD-HIT-OTU-MiSeq. This new approach has four distinct novel features. (1) The package can clustering PE reads without joining them into contigs. (2) Users can choose a high quality portion of the PE reads for analysis (e.g. first 200 / 150 bases from forward / reverse reads), according to base quality profile. (3) We implemented a tool that can splice out the target region (e.g. V3-V4) from a full-length 16S reference database into the PE sequences. CD-HIT-OTU-MiSeq can cluster the spliced PE reference database together with samples, so we can derive Operational Taxonomic Units (OTUs) and annotate these OTUs concurrently. (4) Chimeric sequences are effectively identified through de novo approach. The package offers high speed and high accuracy. The software package is freely available as open source package and is distributed along with CD-HIT from http://cd-hit.org. Within the CD-HIT package, CD-HIT-OTU-MiSeq is within the usecase folder.