Miracle-dz/UniFAR-FTUs huggingface dataset:
Competencies required by project managers for housing construction in Ghana

Purpose – The purpose of this paper is to delineate “senior managers'” perception of the competencies required by project managers (PMs) in Ghana for mass house building projects (MHBPs) and to discuss the implication of the findings for professional training and development.Design/methodology/approach – Drawing on a well‐acclaimed organizational psychology theory of job performance, a structured questionnaire survey was used to elicit data from managing directors (MDs) of homebuilders belonging to the Ghana Real Estate Developers Association (GREDA). The data were analyzed using multiple regression techniques (stepwise)Findings – Of 64 competencies operationalised, seven are perceived to be important.Originality/value – The findings provide PMs in Ghana an understanding of the competency profile their superiors (i.e. MDs) use in judging their performance. This should therefore help the PMs to align their professional development towards improving their skills on these competencies. Homebuilders can also .
Product Packaging: A Consumer’s Perspective

The study was conducted to determine which elements of product packaging are the most significant from consumer’s point of view. Consumer product packaging can serve a critical role in the consumption experience, but marketing and packaging science researchers focus primarily on pre and post-consumption aspects of consumer product containers. Exhaustive research into packing ergonomics, logistics, safety, sustainability and promotional features are common across marketing and packaging disciplines. In addition to an undervalued role in product satisfaction, functional isolation between marketing and packaging scientists limits packaging’s overall impact on the bottom line. This paper seeks to discuss the need to understand consumer perspective in order to correctly determine the element of product packing and to achieve the desired position in the minds of consumers. The objective of this study is to determine elements of packaging from consumer’s perspective. The purpose of this research is to examine the essential factors, which are driving the success of a brand. According to the finding of the research study, it has been observed that the packaging is the most important factor and powerful factor, which influences consumer’s perspective. The packaging elements like its color, packaging material, design of wrapper and innovation are more important factors from consumer’s perspective.
ANALISA PENGARUH SUDUT KELUAR SUDU TERHADAP PUTARAN TURBIN PELTON

Turbin Pelton merupakan salah satu jenis turbin air yang cocok untuk daerah yang mempunyai tinggi jatuh (head) yang tinggi. Berdasarkan debit air dan head yang tinggi pada sumber mata air inilah maka di buat sebuah turbin air jenis pelton dimana untuk memperoleh putaran dan daya yang maksimal, maka perlu dibuat perencanaan turbin pelton dengan variasi sudut keluar sudu I²2 yang berbeda. Pengujian awal dilakukan dengan menggunakan dua nosel dengan variasi sudut keluar sudu I²2 10o, 20o , 30o , 40o dan 50o dengan ketinggian air jatuh (head) 16 meter. Pada pengujian ini debit air yang masuk dan keluar nosel konstan dengan kemiringan jatuhan air 85o. Untuk proses pengambilan data dilakukan untuk setiap variasi sudut keluar sudu I²1 sebanyak tiga kali dengan variasi sudut masuk sudu I²2 10o, 20o , 30o , 40o , dan 50o . Dari hasil pengujian dan analisa perhitungan pada sudut keluar sudu I²2 10o, 20o , 30o , 40o , 50o diperoleh putaran 555 rpm , 526 rpm , 479 rpm , 427 rpm , 357 rpm dan daya 192 Watt, 178 Watt, 155 Watt, 130 Watt, 100 Watt. Dengan demikian semakin besar sudut keluar sudu I²2 yang digunakan maka semakin kecil putaran dan daya yang akan diperoleh Kata kunci : Turbin Air Pelton, Sudut Keluar Sudu, Putaran Turbin.
Evaluation of Data Center Network Security based on Next-Generation Firewall

This study aims to create a network security system that can mitigate attacks carried out by internal users and reduce attacks from internal networks. Further, a network security system is expected to overcome the difficulty of mitigating attacks carried out by internal users. The goal of this research is to analyze the effectiveness of the Next-Generation Firewall implemented to improve network security. The method used in this research is the comparison method with a test of TCP SYN attack, UDP flood attack, ICMP smurf attack, and DHCP starvation attack on a company network. From the experiment results, it can be concluded that the Next-Generation Firewall has significantly better performance for protecting mitigating attacks carried out by internal users on a company network. It can increase the security of data communication networks against threats from the internal networks. Keywords—Network security; next-generation firewall; TCP SYN attack; UDP flood attack; ICMP smurf attack
A Vibrant, Pluralistic Sustainable Water Management Measures under Climate Robustness Analysis and the Uncertainty of Demand in Arid Environments

Taking into account the uncertainty of future water shortages and climate change and demand, policy makers need to analyze technical resources in sustainable management. By "sustainable" is not clearly defined, but for resource evaluation index by using traditional static weather and demand, limiting the analysis variables to the limited flexibility of options specific water-based and time proposed. This work presents a robust, diverse, dynamic and continuous evaluation of technologies and corresponding performance indicators, called Sustainable Development (MOS) measurement of resource management is better suited to withstand future parameters. Range of potential future climate scenarios and requirements calibrate hydrological model in extreme natural and man-made water stress in arid basin as an example an example. Comparison of MOS and recommendations water management plans cost rankings, the paper determines the traditional evaluation method not only underestimated the future water deficit, but also to support solutions without taking into account supply and demand uncertainty. And in view of future climate and resource-dependent market trajectory uncertainty of the MOS method, proposed solutions, though perhaps not optimal, it is robust future change parameter values, and therefore one of the best water management solutions random natural worlds.
Skeleton2Mesh: Kinematics Prior Injected Unsupervised Human Mesh Recovery

In this paper, we decouple unsupervised human mesh recovery into the well-studied problems of unsupervised 3D pose estimation, and human mesh recovery from estimated 3D skeletons, focusing on the latter task. The challenges of the latter task are two folds: (1) pose failure (i.e., pose mismatching – different skeleton definitions in dataset and SMPL , and pose ambiguity – endpoints have arbitrary joint angle configurations for the same 3D joint coordinates). (2) shape ambiguity (i.e., the lack of shape constraints on body configuration). To address these issues, we propose Skeleton2Mesh, a novel lightweight framework that recovers human mesh from a single image. Our Skeleton2Mesh contains three modules, i.e., Differentiable Inverse Kinematics (DIK), Pose Refinement (PR) and Shape Refinement (SR) modules. DIK is designed to transfer 3D rotation from estimated 3D skeletons, which relies on a minimal set of kinematics prior knowledge. Then PR and SR modules are utilized to tackle the pose ambiguity and shape ambiguity respectively. All three modules can be incorporated into Skeleton2Mesh seamlessly via an end-to-end manner. Furthermore, we utilize an adaptive joint regressor to alleviate the effects of skeletal topology from different datasets. Results on the Human3.6M dataset for human mesh recovery demonstrate that our method improves upon the previous unsupervised methods by 32.6% under the same setting. Qualitative results on in-the-wild datasets exhibit that the recovered 3D meshes are natural, realistic. Our project is available at https://sites.google. com/view/skeleton2mesh.
Protein Phosphatase 2A Holoenzyme Is Targeted to Peroxisomes by Piggybacking and Positively Affects Peroxisomal b-Oxidation1[OPEN]

The eukaryotic, highly conserved serine (Ser)/threonine-specific protein phosphatase 2A (PP2A) functions as a heterotrimeric complex composed of a catalytic (C), scaffolding (A), and regulatory (B) subunit. In Arabidopsis (Arabidopsis thaliana), five, three, and 17 genes encode different C, A, and B subunits, respectively. We previously found that a B subunit, B9u, localized to peroxisomes due to its C-terminal targeting signal Ser-Ser-leucine. This work shows that PP2A C2, C5, andA2 subunits interact and colocalize with B9u in peroxisomes. C and A subunits lack peroxisomal targeting signals, and their peroxisomal import depends on B9u and appears to occur by piggybacking transport. B9u knockout mutants were impaired in peroxisomal b-oxidation as shown by developmental arrest of seedlings germinated without sucrose, accumulation of eicosenoic acid, and resistance to protoauxins indole-butyric acid and 2,4-dichlorophenoxybutyric acid. All of these observations strongly substantiate that a full PP2A complex is present in peroxisomes and positively affects b-oxidation of fatty acids and protoauxins.
Moving Morality Beyond the In-Group: Liberals and Conservatives Show Differences on Group-Framed Moral Foundations and These Differences Mediate Perceived Bias and Threat

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 ORIGINAL RESEARCH published: xx March 2021 doi: 10.3389/fpsyg.2021. 579908
Reply for comment of Reviewer #2 on “Estimating the degree of preferential flow to drainage in an agricultural clay till field for a 10-year period”

preferential flow to drainage in an agricultural clay till field for a 10-year period”. David Nagy1, Annette E. Rosenbom2, Bo V. Iversen1, Mohamed Jabloun3, and Finn Plauborg1 1Department of Agroecology, Aarhus University, Blichers Allé 20, DK-8830 Tjele, Denmark 2Department of Geochemistry, Geological Survey of Denmark and Greenland (GEUS), Øster Voldgade 10, DK-1350 Copenhagen K, Denmark 3School of Biosciences, University of Nottingham, Loughborough, LE12 5RD, UK Correspondence: David Nagy (davidnagy@agro.au.dk)
Attention, Interest, Search, Action, and Share (AISAS) Analysis of Zomato Promotion Effectiveness

Current technological advances, especially the Internet of Things (IoT), are widely used by people in their daily lives to transact, communicate, and find various information. The research analyzed the effectiveness of promotions carried out by companies based on the concept of marketing communication from technological developments, namely the Attention, Interest, Search, Action, and Share (AISAS) model
Neuromolecular Underpinnings of Negative Cognitive Bias in Depression

This selective review aims to summarize the recent advances in understanding the neuromolecular underpinnings of biased cognition in depressive disorder. We begin by considering the cognitive correlates of depressed mood and the key brain systems implicated in its development. We then review the core findings across two domains of biased cognitive function in depression: pessimistic judgment bias and abnormal response to negative feedback. In considering their underlying substrates, we focus on the neurochemical mechanisms identified by genetic, molecular and pharmacological challenge studies. We conclude by discussing experimental approaches to the treatment of depression, which are derived largely from an improved understanding of its cognitive substrates.
Characterization Of Gated Silicon Field Emission Micro Triodes

Fabrication and Characterization of Gated Silicon Field Emission Micro Triodes ty Nanchou Liu This d issertation describes the fabrication technology and characterization of a gated silicon field emission micro triode that is a novel electron tunneling device for generating electron emission into a vacuum. Conic (point) and wedge field emitter structures with nm-scale radii were fabricated in silicon and GaAs by etching, MOCVD and dry oxidation. A new self-aligned process was developed for fabrication of vertical field emission triodes. This process allows control of gate opening to less than 0.5 pm diameter without the need of electron-beam writing. It also provides a planar gate electrode and a thick dielectric layer for reduction of the gate-cathode capacitance. Gated silicon field emission triodes, with silicon resistivity of 0.005 0.02 £2-cm were studied. Gate and collector currents were measured in a vacuum of 2 x 10"^ torr, and current-voltage (I vs. V), current-time (I vs. t), Fowler-Nordheim (I/V^ vs. 1/V), and triode characteristics were determined. The data showed that the electron emission followed Fowler-Nordheim behavior. Single emitters had turn-on gate to cathode voltages (V) above 25 volts (typically 50 90 volts) and reproducible emission currents were measured in the range 5 pA -1 pA. Emitting areas of 1.0x10'^ 1.5x10-* 1 cm2 and field conversion factors a / r (where electric field = V a /r ) of 3x10^ 8x10^ cm_l were calculated. Temporal fluctuations in emission current of 10%, 16%, and 40% were found for emission currents of 0.35 nA, 50 nA, and 0.5 pA, Reproduced with permission of the copyright owner. Further reproduction prohibited without permission. respectively. The triode characteristics showed an Ig/Ic ratio of 0.25% and higher. Transconductances were found to be 3 xl0"& m hos/tip. Leakage characteristics of various dielectric materials used in the new self-aligned process (thermal oxide, CVD oxide, polyimide and spin-on-glass) were measured and evaluated. Electrostatic discharge and other device failure mechanisms have been observed and explained. Reproduced with permission of the copyright owner. Further reproduction prohibited without permission.
CMI Graduate Student Projects: Volume 3 The Influence of Water Flow, Water Conditions, and Seasonality on Fish Communities in Estuarine Nearshore Habitats in Kachemak Bay, Alaska

3 Introduction . 4 Methods . 6 Results . 9 Discussion . 20 Acknowledgments . 25 References . 26 Identifying Hatch Dates and Potential Hatch Location of Arctic Cod (Boreogadus saida) through Otolith Analysis PI: Zane Chapman
Temperature and precipitation changes in Sweden, a wide range of model-based projec- tions for the 21st century

Sammandrag In this report we analyze the climate change signal for Sweden in scenarios for the 21 century in a large number of coupled atmosphere-ocean general circulation models (AOGCMs), used in the fourth assessment report by the Intergovernmental Panel on Climate Change (IPCC). We focus on near-surface temperature and precipitation. The analysis includes six emission scenarios as well as multi-member runs with the AOGCMs. At the Rossby Centre, SMHI, regional climate models have been run under different emission scenarios and driven by a few AOGCMs. The results of those runs have been used as a basis in climate change, impact and adaptation assessments. Here, we evaluate results from these regional climate model runs in relation to the climate change signal of the IPCC AOGCMs. First, simulated conditions for the recent past (1961-1990) are evaluated. Generally, most AOGCMs tend to have a cold bias for Sweden, especially in winter that can be as large as 10°C. Also, the coarse resolution of the AOGCMs leads to biases in simulated precipitation, both in averages, extremes and often also in the phase of the seasonal cycle. Generally, AOGCMs overestimate precipitation in winter; biases reach 30-40% or even more. In summer, some AOGCMs overestimate precipitation while others underestimate it. Projected responses depend on season and geographical region. Largest signals are seen in winter and in northern Sweden, where the mean simulated temperature increase among the AOGCMs (and across the emissions scenarios B1, A1B and A2) is nearly 6°C by the end of the century, and precipitation increases by around 25%. In southern Sweden, corresponding values are around +4°C and +11%. In summer, the temperature increase is more moderate, which is also the case for precipitation. The regional climate signals are usually within the ranges given by the AOGCM runs, however, the regional models tends to show larger increases in winter, and smaller increases in summertime precipitation. Key words/sök-, nyckelord Climate change, transient climate scenario, regional climate modelling, Europe, ENSEMBLES Supplementary notes/Tillägg This work has been a part of the MistraSWECIA programme and the EU-project ENSEMBLES (GOCE-CT-2003-505539) Number of pages/Antal sidor
Vision: Bayesian Inference and Beyond

Although research has provided an enormous amount of knowledge about visual brain anatomy, physiology and neural mechanisms, this knowledge is insufficient to quantitatively describe neural dynamics of large systems of neurons (except in certain restricted regimes). Moreover, even precise knowledge of neural dynamics would only yield partial understanding of brain function (knowing the electronic dynamics of a computer does not give much insight into the algorithm that the computer is running). This suggests that direct approaches based on studying the neurobiology of visual circuitry must be augmented by understanding visual processing at a more abstract level (Figure 1). Such understanding should take into account behavioral functions or tasks, and the computational problems the organism must solve. We get insight into tasks through the study of how animals, such as ourselves, use vision (Milner & Goodale, 2006) as well as their relationships to the development of computer vision systems that are required to achieve specific goals (Ullman, 2000).
Theoretical Video Game Analysis: The Creation of Experience

impulse; if the author existed on his own, he could write as much as he liked but his work would never see the light of day as an object, and he would have to lay down his den in despair. The process of writing, however, includes as a dialect correlative the process of reading, and these two interdependent acts require two different active people. The combined efforts of author and reader bring into being the concrete and imaginary object which is the work of the wind art exists only for and through other
EVALUATION OF THE DYNAMIC AND KINEMATIC PERFORMANCE OF THE THOR DUMMY: NECK PERFORMANCE

The objective of this study is to evaluate the frontal head-neck performance of the THOR neck with respect to the human frontal head-neck performance and the Hybrid-III frontal head-neck performance. For this purpose, tests were carried out with an isolated THOR and Hybrid-III-neck system on a HyGe sled. The acceleration applied to the dummy head-neck system is comparable to the T1 acceleration experienced by volunteers during testing at the Naval Biodynamics Laboratory in the 80-ties. The Hybrid-III and THOR neck response is compared with human neck response corridors. The study revealed that, although the THOR neck needs some further improvement, its response during frontal flexion is much more biofidelic than the Hybrid-III neck response.
A Generative Modeling Approach to Calibrated Predictions: A Use Case on Menstrual Cycle Length Prediction

We explore how to quantify uncertainty when designing predictive models for healthcare to provide well-calibrated results. Uncertainty quantification and calibration are critical in medicine, as one must not only accommodate the variability of the underlying physiology, but adjust to the uncertain data collection and reporting process. This occurs not only on the context of electronic health records (i.e., the clinical documentation process), but on mobile health as well (i.e., user specific self-tracking patterns must be accounted for). In this work, we show that accurate uncertainty estimation is directly relevant to an important health application: the prediction of menstrual cycle length, based on self-tracked information. We take advantage of a flexible generative model that accommodates under-dispersed distributions via two degrees of freedom to fit the mean and variance of the observed cycle lengths. From a machine learning perspective, our work showcases how flexible generative models can not only provide state-of-the art predictive accuracy, but enable well-calibrated predictions. From a healthcare perspective, we demonstrate that with flexible generative models, not only can we accommodate the idiosyncrasies of mobile health data, but we can also adjust the predictive uncertainty to per-user cycle length patterns. We evaluate the proposed model in real-world cycle length data collected by one of the most popular menstrual trackers worldwide, and demonstrate how the proposed generative model provides accurate and well-calibrated cycle length predictions. Providing meaningful, less uncertain cycle length predictions is beneficial for menstrual health researchers, mobile health users and developers, as it may help design more usable mobile health solutions.
Multi-Tissue Characterization of GILZ Expression in Dendritic Cell Subsets at Steady State and in Inflammatory Contexts

Dendritic cells (DCs) are key players in the control of tolerance and immunity. Glucocorticoids (GCs) are known to regulate DC function by promoting their tolerogenic differentiation through the induction of inhibitory ligands, cytokines, and enzymes. The GC-induced effects in DCs were shown to critically depend on increased expression of the Glucocorticoid-Induced Leucine Zipper protein (GILZ). GILZ expression levels were further shown to control antigen-presenting cell function, as well as T-cell priming capacity of DCs. However, the pattern of GILZ expression in DC subsets across tissues remains poorly described, as well as the modulation of its expression levels in different pathological settings. To fill in this knowledge gap, we conducted an exhaustive analysis of GILZ relative expression levels in DC subsets from various tissues using multiparametric flow cytometry. This study was performed at steady state, in the context of acute as well as chronic skin inflammation, and in a model of cancer. Our results show the heterogeneity of GILZ expression among DC subsets as well as the complexity of its modulation, that varies in a cell subset- and context-specific manner. Considering the contribution of GILZ in the control of DC functions and its potential as an immune checkpoint in cancer settings, these results are of high relevance for optimal GILZ targeting in therapeutic strategies.