Miracle-dz/UniFAR-FTUs huggingface dataset:
Life Skills and Entrepreneurship of Juvenile in Prisons

A study to learn about early life skills of Senior High School students of Taruna Wiyata Mandiri, science major at Juvenile Correctional Penitentiary Class II Bandung. Study conducted on 5 samples, taken purposely under the consent, with characteristic: 15-22 age level, middle and lower economic class and still under coaching program. This study was preliminary study about life skills provision refer to Department of National Education indicators, such as, personal, social, academic, and vocational skills that would be discovered in further. The data collection was conducted by using questionnaire to detect personal and social skills, observation sheet used to observe development activities, and the interview to the subjects, teachers and officers to find out the responses of the activities. Vocational skills become a focus as part of life skills for subject provision to be an independent entrepreneur. The result showed that the subjects having a good basic time management, planning and job allocation in making group products. Innovation and creativity ideas by using eggs as the basic material for assessment academic. It was an expected basic skill that could bring the subject to a brighter future.
CheckMate 331: An open-label, randomized phase III trial of nivolumab versus chemotherapy in patients (pts) with relapsed small cell lung cancer (SCLC) after first-line platinum-based chemotherapy (PT-DC).

TPS8578Background: Overall survival (OS) remains poor in pts with advanced SCLC, and treatment options are limited for pts who relapse after first-line PT-DC. Nivolumab, a fully human IgG4 programmed death-1 (PD-1) immune checkpoint inhibitor, has demonstrated superior survival and favorable safety over docetaxel in two phase III trials in previously treated advanced non-small cell lung cancer (NSCLC). These results led to the approval of nivolumab in the US for previously treated metastatic NSCLC and in the EU for previously treated squamous (SQ) NSCLC. In a phase I/II trial (CheckMate 032) in pts with advanced/metastatic solid tumors, nivolumab monotherapy showed antitumor activity with durable tumor responses in pts with SCLC whose disease progressed after ≥ 1 prior therapy. In this study, responses were observed regardless of programmed death ligand-1 (PD-L1) expression or platinum sensitivity/resistance. Adverse event profiles of nivolumab were manageable and favorable compared to safety profiles of .
Equivalent Two Switches and Single Switch Buck/Buck-Boost Circuits for Solar Energy Harvesting Systems

In this paper, a comparative analysis has been presented of two equivalent circuits of non-isolated buck/buck-boost converters under synchronous control, used in a stand-alone Photovoltaic-battery-load system. The first circuit consists of two cascaded buck and buck-boost classical converters with two controllable switches. The buck converter is used to extract the maximum power of the Photovoltaic source, and the buck-boost converter is applied for the output voltage level control. The second circuit consists of a proposed converter with a single controllable switch. In both cases, the switching frequency is used to track the maximum power point and the duty ratio controls the output voltage level. Selected simulation results and experimental tests confirm that the two conversion circuits have identical behavior under synchronous control. This study shows that the single switch converter has a lower size and cost, but it is limited in the possible control strategy.
Fast 2D Convolution Algorithms for Convolutional Neural Networks

Convolutional Neural Networks (CNN) are widely used in different artificial intelligence (AI) applications. Major part of the computation of a CNN involves 2D convolution. In this paper, we propose novel fast convolution algorithms for both 1D and 2D to remove the redundant multiplication operations in convolution computations at the cost of controlled increase of addition operations. For example, when the 2D processing block size is $3\times 3$ , our algorithm has multiplication saving factor as high as 3.24, compared to direct 2D convolution computation scheme. The proposed algorithm can also process input feature maps and generate output feature maps with the same flexible block sizes that are independent of convolution weight kernel size. The memory access efficiency is also largely improved by the proposed method. These structures can be applied to different CNN layers, such as convolution with stride > 1, pooling and deconvolution by exploring flexible feature map processing tile sizes. The proposed algorithm is suitable for both software and hardware implementation.
Keynote address: The action learning, action research experiences of professionals

This keynote relates the experiences of professional educational-practitioners, which contribute to the legacy of action learners, action researchers, and others concerned with transforming social change for the flourishing of humanity. It provides an evidence-based justification for claiming that this legacy includes the creation of an educational epistemology that is transforming globally what counts as educational knowledge in the Academy. This transformation takes into account the power relations that are supporting and hindering its legacy, including the power of epistemicide. The epistemology is being created in the explanations of practitioner-researchers of their educational influences in their own learning, in the learning of others and in the learning of the social formations in which the explanations are located. The energy-flowing values that constitute explanatory principles and living standards of judgement are clarified and evolved through the use of digital multi-media narratives. The freely available resources http://www.actionresearch. net include 10 years of the Educational Journal of Living Theories (EJOLTS - http://ejolts.net ). These are international resources for all Action Researchers, Action Learners and educational-practitioner researchers who want to research their practice to understand, improve and explain it in terms of their ontological and social values and their practice and to generate their own. These theories are generated from inquiries of the kind, “How do I improve what I am doing? ” in which ‘I’ exists as a living contradiction and the researcher’s ontological and relational values form their explanatory principles and standards of judgement.
Snowpack properties vary in response to burn severity gradients in montane forests

Wildfires are altering ecosystems globally as they change in frequency, size, and severity. As wildfires change vegetation structure, they also alter moisture inputs and energy fluxes which influence snowpack and hydrology. In unburned forests, snow has been shown to accumulate more in small clearings or in stands with low to moderate forest densities. Here we investigate whether peak snowpack varies with burn severity or percent overstory tree mortality post-fire in a mid-latitude, subalpine forest. We found that peak snowpack across the burn severity gradients increased 15% in snow-water equivalence (SWE) and 17% in depth for every 20% increase in overstory tree mortality due to burn severity. Snowpack quantity varied greatly between the two winter seasons sampled in this study with 114% more snow in 2016 versus 2015, yet the effect of burn severity on snowpack remained consistent. These data support previous studies showing increases in peak snow depth and SWE in burned forests but for the first time provides novel insights into how snow depth and SWE change as a function of burn severity. We conclude that changes not only in the frequency and size of wildfires, but also in the severity, can alter peak snow depth and SWE, with important potential implications for watershed hydrology.
Learning Algorithms, Design, and computed space

The paper analyses and speculates on what opportunities and challenges will arise from the introduction of learning algorithms (machine learning, neural networks, etc.) in architectural and urban design. The penetration of such class of algorithms in cities and design disciplines is rapid and profound increasing both the thirst for gathering ever larger and more accurate datasets and raising the prospect of automating tasks currently performed by humans. Whilst it is understood that learning algorithms are essential tools to analyse large datasets, design disciplines have paid far less attention to how such processes are carried out, how spatial data are reformatted by algorithms which largely operate on statistical bases and, most importantly, what image of the city emerges from such processes. To unravel the complexity of the issue, it is first necessary to retrace the ideas informing the emergence of numerical procedures at beginning of the twentieth century and Artificial Intelligence in the 1950's as they allow us to project a different paradigm of how space can be analysed, structured, and changed. Finally, the paper will offer some points for speculation and further reflection on how the methods put forward through learning algorithms compare to current approaches to digital design; this will foreground their disruptive potential for a radical transformation of urban design, one that could be deployed to tackle some of the most pressing urban issue.
Crizotinib may be effective for rheumatoid arthritis: a case report of a rheumatoid arthritis patient with lung cancer

Abstract A 66-year-old woman with rheumatoid arthritis (RA) was seen in our outpatient rheumatology clinic. She had developed lung cancer at the age of 61, and received surgery and six courses of chemotherapy. However, the cancer recurred 2 years later and crizotinib (CRZ), which is an oral anticancer agent acting as an anaplastic lymphoma kinase (ALK) inhibitor, was started. Although her RA had been active before starting CRZ, it entered clinical remission. Her cancer was well controlled, but she sometimes stopped taking CRZ for several reasons. At these times, her RA symptom temporarily recurred. CRZ was continued for 1 year and 6 months, but finally switched to alectinib (ALC), which is another ALK inhibitor, because her cancer became resistant to CRZ. Interestingly, her RA became active after the switch, although both CRZ and ALC are ALK inhibitors. Since CRZ inhibits not only ALK but also MET, while ALC is a selective ALK inhibitor, MET inhibition was thought to be important in this case. This case suggests that CRZ can be a new therapeutic option for RA and MET is a promising treatment target.
Diagnóstico diferencial de conjuntivitis alérgica crónica en rinitis alérgica

Introduction : At the optometry clinic of the Faculty of Higher Studies (FES) Iztacala, at the Universidad Nacional Autonoma de Mexico, a clinical case of persistent, monocular, allergic rhinoconjunctivitis was presented in a 13-year-old patient, diagnosed and treated as bacterial conjunctivitis in several medical exams prior to our consultation. The case was analyzed considering the signs and symptoms, as well as the evolution of the pathology. Objective : To develop a differential diagnosis between chronic allergic conjunctivitis and persistent allergic rhinoconjunctivitis, starting from a process that was diagnosed as infectious. Method : Evaluation using biomicroscopy, as well as examination of nasal passages, throat and conjunctival exudate, as a diagnostic aid. Results : After clinical evaluation, chronic allergic rhinitis was diagnosed; thus, the patient was referred to a general practitioner for systemic treatment and antihistamine treatment was administered locally. Conclusion : Persistent rhinoconjunctivitis has a prevalence of approximately 88% in patients attending ophthalmological consultation. It is important that in clinical practice optometrists strengthen the diagnosis with special tests for allergy detection, while applying diagnostic questionnaires such as the one presented by the International Study of Asthma and Allergies in Childhood (ISAAC) and multidisciplinary work.
EFFECTS OF SOYBEAN PROTEIN SUBSTITUTION WITH PEA IN DIET ON BROILER CHICK SERUM ANTIOXIDANT VITAMIN AND MINERAL LEVELS

Bu calisma, soya proteini yerine farkli duzeylerde bezelye verilmesinin broiler civcivlerinin serum antioksidan vitamin ve mineral duzeylerine etkisinin belirlenmesi icin planlandi. Bu amacla, bir bazal (kontrol) diyeti hazirlandi ve soya fasulyesi unu proteininin bazal diyetteki bezelye ile ikame edilmesiyle uc deneysel diyet belirlendi. Calisma gruplari, %20 (%20 Bezelye) ve%40 (%40 Bezelye) olarak, soya kuspesi ham proteini (kontrol) yerine bazal diyetteki bezelye proteini ile ikame edilerek olusturuldu. Civcivler, yukarida belirtilen diyetlerle, her bir alt gruptaki 5 civciv grubunda (her deneme grubu icin toplam 16 civciv) beslendi ve deneyler, 42 gun surdu. Kan ornekleri her gruptaki 12 pilicten toplandi. Serum Ca, Fe, Mg, Mn, Zn retinol, tokoferol ve D vitamini duzeyleri belirlendi. Serum α-tokoferol, Fe, Mn ve Mg duzeylerinin degismedigi, ancak retinol ve D vitamini duzeylerinin P20 ve P40 gruplarinda arttigi tespit edildi. P20 grubunda Zn duzeyi azalirken, Ca duzeyleri anlamli olarak arttigi goruldu. Soya fasulyesi diyetindeki bezelye seviyelerinin serum mineral ve vitamin duzeylerini cesitli sekillerde etkileyebilecegi sonucuna varilabilir.
Speeding up Monte Carlo Computations by Parallel Processing Using GPU for Uncertainty Evaluation in  Accordance with GUM Supplement 2

The GUM Supplement 2 deals with measurement models with more than one output quantities, which may be mutually correlated. Such measurement models are common in electrical metrology where the measurand can be complex-valued quantities, such as S-parameters. The GUM Supplement 2 describes a Monte Carlo Method (MCM) for evaluating the output quantities, their standard uncertainties, the covariances between them and the coverage region. The Standards and Calibration Laboratory (SCL) has developed six years ago a software tool for evaluation of measurement models for complex-valued quantities in accordance with GUM Supplement 2. The SCL software tool was written in Visual C++ and Visual Basic for Application (VBA), with Microsoft Excel as frontend user interface. As MCM involves large number of repetitive computations, this old SCL software tool has long processing time especially for complicated measurement models such as coaxial airline. Nowadays many personal computers are equipped with Graphics Processing Unit (GPU) containing massive number of floating point cores. A high end GPU may have nearly 2000 cores while the main CPU normally has only up to 4 cores. As MCM is well suited to parallel processing, to speed up the uncertainty computation, SCL has ported the algorithm to GPU using the Open Computing Language (OpenCL) which was specially designed to support parallel computing. The new SCL tool is an add-on module to Microsoft Excel which allows uncertainty budget listed in spreadsheet table to be calculated by MCM. GPU from the major suppliers Nvidia, AMD and Intel are supported. The uncertainty computation time can be reduced by more than ten times. This paper describes the design and implementation of this new software tool.
Aerosol Properties Over Tibetan Plateau From a Decade of AERONET Measurements: Baseline, Types, and Influencing Factors

In this study, a decade long measurement of aerosol optical properties at two AERONET stations (Nam Co during 2006–2016 and QOMS during 2009–2017) in the Tibetan Plateau (TP), a region sensitive to climate change and human perturbation, is presented. The baseline value of aerosol optical depth (AOD) was 0.029 and 0.027 at Nam Co and QOMS, respectively, which are comparable to or even lower than those at some Arctic and remote ocean locations. The seasonality of AOD values were the order of spring > summer > winter > autumn. Based on AOD and Ångström exponent (α), major aerosol types over the TP were further identified as continental background, biomass burning, and dust. Although continental background aerosol was the main feature in remote areas of TP, biomass burning plumes frequently occurred, especially during spring (March–April). In one of such biomass burning event in April 2014, MODIS observations demonstrated that intensive open fires occurred in South Asia, covering the foothills of Himalayas and Indo‐Gangetic Plain. The air mass back trajectories and CALIOP observations further revealed that biomass burning plume could be uplifted to higher altitudes and reach the Himalayas. Moreover, an occasional dust event detected in April 2008 over the TP demonstrated that the dust from Taklamakan Desert may impact the main body of TP episodically, although the local dust from the inside of TP cannot be excluded and warrants further study.
On the edge of glory (...or catastrophe): regulation, transparency and party democracy in data-driven campaigning in Québec

The 2018 election marked an organisational change for major political parties in Quebec. They have all massively integrated data-driven campaigning practices. This article identifies factors that could explain the increasing pressure to regulate Quebec's political parties' uses of large sets of digital voter information. Quebec presents an interesting case to study the effects of data-driven campaigning of parties operating in a parliamentary system where privacy protection rules are limited. Based on semi-directed interviews conducted with strategists from the major parties, it also stresses important intra-party changes and challenges for party democracy.
The complete plastid genome of Holcoglossum singchianum (Orchidaceae, Vandeae)

Abstract The complete plastid genome of Holcoglossum singchianum was determined and analyzed in this work. The plastome was 147,715 bp in length with 84,094 bp of the large single-copy (LSC) region, 12,073 bp of the small single-copy (SSC) region and 25,774 bp of the inverted repeat (IRs) regions. The genome contained 120 genes, 74 protein-coding genes, 38 tRNA genes, and 8 rRNA genes. Phylogenetic analysis of 20 Aeridinae plastomes suggested three groups of Holcoglossum were divided, and H. singchianum was sister to H. lingulatum.
The Impact of Organic vs. Conventional Agricultural Practices on Selected Quality Features of Eight Potato Cultivars

An organic agricultural system based on natural methods and means of production is an alternative to intensive agriculture. The available research suggests that organic crops, in comparison to the conventional ones, are richer in phenolics and other antioxidants while containing less undesirable pesticide residues and nitrates. The aim of this study was to determine concentrations of polyphenols, lutein, vitamin C, and nitrates in eight potato cultivars (Mazur, Justa, Lawenda, Lech, Tacja, Laskana, Otolia, Magnolia) grown organically and conventionally in a controlled field experiment in Poland. Significant differences between potato tubers of the tested cultivars coming from organic and conventional production were identified for the majority of parameters. Higher concentrations of nitrates and lutein were found in conventional compared to the organic tubers, while organic potatoes were, on average, richer in phenolic compounds. Among the tested cultivars, Magnolia, Otolia, and Laskara were richest in vitamin C and phenolics. Otolia and Laskara also accumulated the highest levels of nitrates. If further confirmed, these observations might be of importance for the producers and consumers, who increasingly search for foods from sustainable and well-controlled agricultural systems.
Micro-Mechanism Research into Molecular Chains Orientation Synergistically Induced by Carbon Nanotube and Shear Flow in Injection Molding

For the degree of orderly arrangement of the molecular chains at the interface of nanocomposites, the static and sheared polyethylene (PE)/carbon nanotube (CNT) models and the sheared pure PE model were constructed, and molecular simulation experiments were carried out in comparison. The micro-mechanism of molecular chains orientation, synergistically induced by the carbon nanotube and shear flow in injection molding, was discussed by analyzing the radius of gyration, molecular chain motion, conformation evolution of molecular chains, bond orientation parameter, interface binding energy and atom distribution. The results show that, for the static composite system, the conformation adjustment of PE molecular chains induced by CNT is limited due to the hindrance from the surrounding chains. Thus, the orientation and radius of gyration of molecular chains increase slightly. For the sheared pure PE system, the orientation induced by shear flow is unstable. After the cessation of shear, the molecular chains undergo intense thermal movement and relax quickly. The disorientation is obvious, and the radius of gyration decreases considerably. It is worth noting that for the sheared composite system, shear flow and the CNT have a synergistic effect on the orientation of the molecular chains, which is due to the adsorption effect of the CNT on shear-induced oriented chains and the inhibition effect of CNT on the relaxation of shear-induced oriented chains. Thus, the orientation stability of PE chains is greatly improved, and interface crystallization is promoted. Moreover, because of the more regular arrangement of molecular chains in the sheared composite system, more H atoms and C atoms are close to the surface of the CNT, which increases the van der Waals force, and correspondingly increases the interface binding energy.
Development of analytical model for energy detectors with SC and MRC diversity over Inverse‐Gamma fading

An ever‐escalating demand for wireless applications has caused great concern for the proper exploitation of the accessible radio spectrum. Cognitive radio materializes as an auspicious remedy to the present‐day crisis of spectral congestion, by detecting the licensed primary user (PU). This is accomplished with the assistance of the spectrum sensing technique, which provides an indication of the presence of PU over the spectrum. Energy detection is one of the prevailing spectrum sensing techniques due to its low implementation complexity. In the present work, the performance of an energy detector (ED) over Inverse‐Gamma (I‐Gamma) fading distribution is examined. Initially, a closed‐form expression of the probability density function for I‐Gamma distribution with maximal ratio combining diversity reception is derived. Following it, an investigation of an ED‐based cognitive radio device is carried out in the form of the average probability of detection (PD) and average area under the receiver operating characteristic curve (AUC). In addition, we also present a performance analysis of an ED with selection combining diversity. Optimization of the detection threshold is also executed alongside the low signal‐to‐noise ratio analysis. In the end, the resulting expression of the PD is exploited to examine the functioning of cooperative spectrum sensing within the erroneous environment. The validation of derived mathematical forms has been confirmed by comparing it with the Monte‐Carlo simulation and exact numerical results.