Miracle-dz/UniFAR-FTUs huggingface dataset:
Penentuan Ukuran Butir (Particle Size) Cu dan Ni pada Lapisan Cu/Ni Menggunakan Metode Scherrer Termodifikasi

The Cu/Ni layer is a layer that can be used as a material for low temperature sensors. The coating can be made by means of electroplating. Electroplating has limitations in controlling the number and size of metal particles. Therefore, the purpose of this study was to determine the grain size of Cu and Ni in electroplated Cu/Ni layers at varying voltages from 6 to 8 volts using the modified Scherrer method and to analyze the effect of stress on grain size. The method used in this research is descriptive method using a quantitative approach. The results showed that the grain size of the Cu substrate was D= (0.5071 ± 0.06) nm. As for the Ni layer, stress affects grain size. A voltage of 7 volts can produce the largest grain size of 0.776059 nm.
High-throughput functional annotation of natural products by integrated activity profiling

Significance New data-driven methods to aid in the discovery and biological characterization of natural products are necessary to advance the field. Assigning the mechanism of action to novel bioactive compounds is an essential step in drug discovery and a major challenge in chemical biology. Advances in metabolomics have provided a better understanding of the constituents present in libraries but are not sufficient to drive the discovery of novel biologically active metabolites. Here, we describe an unbiased, data-driven strategy which integrates phenotypic screening with metabolomics into a single platform that provides rapid identification and functional annotation of natural products. This approach represents a strategy that could significantly accelerate the process of drug discovery.
Positive Aspect of Virtual Hotel Operator

Traveling is becoming easier with technology. Tourists can choose and determine the accommodation used to stay. Virtual hotel operators (VHO) help travelers choose lodging according to time, cost and desired location. The aim of this research is to describe the advantages of VHO based on family traveler experiences. The growth of tourist accommodation provides choices that benefit tourists. Every accommodation definitely has a market segment. The formulation of the problem in this research is, what are the advantages of VHO based on the experience of family travelers? This research was conducted using a qualitative approach. The primary data source was obtained through the experience of family travelers staying at VHO (OYO and RedDoorz) in 3 cities (Solo, Jogja and Jakarta). VHO’s advantages mainly lie in its location close to the main tourist destinations and affordable prices. Because of these two things, several things that are lacking from VHO do not reduce satisfaction and positive impressions from tourists. Some things are lacking, such as the accommodation environment being less than beautiful, no parking area, lack of privacy.
Smoothing Sensor Data in a Controlled IoT Framework with Moving Averages

This research presents a study on the effect of incorporating two moving averaging algorithms to an ESP32 microcontroller which was connected to an Extended Gate Field Effect Transistor (EGFET) sensor and an IoT framework via Wi-Fi. The collected data parameters are shown on an analytical platform which was installed in the cloud server and saved inside the server’s database. The Simple Moving Average (SMA) algorithm was used to remove noise in the data by taking an average of values over a period, but this method is prone to having large delays especially with larger sampling rates. Therefore, the study proposes an enhanced version of the SMA algorithm called Enhanced Simple Moving Average (ESMA) which incorporates a second period to perform the averaging twice. The results show that ESMA significantly reduces the initialization period while keeping the sensor values stable.
The future of the Amazon.

Smithsonian Tropical Research Institute, Apartado 2072, Balboa, Republic of Panama Biological Dynamics of Forest Fragments Project, National Institute for Amazonian Research (INPA), C.P. 478, Manaus, AM 69011-970, Brazil Department of Forest Science, Oregon State University, Corvallis, OR 97331, USA Basic Science and Remote Sensing Initiative, Michigan State University, East Lansing, MI 48823, USA Department of Ecology, National Institute for Amazonian Research (INPA), C.P. 478, Manaus, AM 69011-970, Brazil
Risk Factors Associated with Postoperative Outcomes in Diverticular Disease Undergoing Elective Colectomy—A Retrospective Cohort Study from the ACS-NSQIP Database

Recommendations for elective colectomies after recovery from uncomplicated acute diverticulitis should be individualized. The kinds of associated risk factors that should be considered for this approach remain undetermined. The aim of this study was to identify the risk factors associated with postoperative outcomes in patients with diverticular disease after receiving an elective colectomy. This is a retrospective study using the multi-institutional, nationally validated database of the American College of Surgeons-National Surgical Quality Improvement Program (ACS-NSQIP). The patients who were diagnosed with diverticular disease and received an elective colectomy were included in our risk factor analyses. Postoperative mortality, morbidity, and overall complications were measured. Univariate and multivariate analyses were used to demonstrate the risk factors. We analyzed 30,468 patients with diverticular disease, 67% of whom received an elective colectomy. The rate of 30-day mortality was 0.2%, and superficial surgical site infection was the most common postoperative morbidity (7.2%) in the elective colectomies. The independent risk factors associated with overall complications were age ≥ 75, BMI ≥ 30, smoking status, dyspnea, hypertension, current kidney dialysis, chronic steroid use, ASA III, and open colectomy. In laparoscopic colectomy, 67.5% of the elective colectomies, the associated risk factors associated with overall complications still included age ≥ 75, smoking, hypertension, chronic steroid use, and ASA III. Identification of patient-specific risk factors may inform the decision-making process for elective colectomy and reduce the postoperative complications after mitigation of those risk factors.
Efeitos não visuais da luz e variáveis de projeto

A partir da descoberta de células da retina associadas ao funcionamento do ritmo circadiano conforme o padrão de luz recebido, não tão recente, os estudos acerca dos efeitos da iluminação na saúde vêm ganhando espaço entre os pesquisadores e profissionais no meio arquitetônico e da construção civil. A temática se encontra em uma fase embrionária, e na falta de um conhecimento mais consolidado em relação a realização do projeto luminotécnico com enfoque no ritmo circadiano, há a demanda de estudos acerca dos efeitos da iluminação no estado humano. Através de um estudo de caso, o objetivo foi investigar o efeito da dimensão dos ambientes e refletâncias superficiais no desempenho da iluminação circadiana. O método se divide em duas etapas, partindo da realização de simulações computacionais: avaliar o potencial circadiano das tipologias arquitetônicas referenciadas e verificar o impacto de critérios arquitetônicos no ritmo circadiano. O impacto da luz no ritmo circadiano difere entre os materiais, e com o aumento da profundidade, conforme a cor utilizada nas paredes, há variações nos valores da razão de iluminância melanópica pelos de iluminância fotópica. Além do material ideal ser definido conforme a influência desejada, a geometria e layout do ambiente afetam o impacto da luz natural no estado humano. A exploração destas variáveis fornece critérios que os profissionais da área podem aderir para o projeto de iluminação, visando maior produtividade e qualidade de vida aos seus usuários.
Dominant Factors of Banking Profitability That Implicate Firm Value

This study is intended to examine the dominant factors that influence the profitability and stock returns of the banking sector when high interest rates occur. The object of this research is the banking sector companies on the Indonesia Stock Exchange with a population of 33 companies in the 2011-2016 period. Using certain criteria so that a sample of 10 companies is obtained. This study uses the variables BOPO, CAR, NPL, LDR, SBI, ROA, and Tobin's Q firm value. All the research variables are divided into two research models, namely the first model uses the endogenous variable ROA which functions as an intervening variable and the second model uses the endogenous variable Tobin's Q firm value. In the results of the first research model, the BOPO and NPL variables have a significant effect on ROA, while the CAR, LDR, SBI variables have no significant effect on ROA. All exogenous variables together using the F-test have a significant effect on the endogenous variable, ROA, at the Adjusted R Squared level of 0.421089. In the second research model results that the variables BOPO, CAR, NPL, and LDR have no significant effect on Tobin's Q firm value. By using the F-test, all exogenous variables together have a significant effect on the endogenous variable, Tobin's Q firm value, at the level of Adjusted R Squared 0.194291. Among the exogenous variables in this study, the dominant factor is the NPL variable in the first research model
Feature Recognition and Clustering for Urban Modelling – Exploration and Analysis in GIS and CAD

In urban planning exploration and analysis assist the generation, measurement, interpretation and management of the modelled urban envi- ronments. This frequently involves categorisation of model elements and identification of element types. Such designation of elements can be achieved through attribution (e.g. 'tagging' or 'layering') or direct selection by model users. However, for large, complex models the number and arrangement of elements makes these approaches impractical in terms of time/effort and accuracy. This is particularly true of models which include substantial num- bers of elements representing existing urban fabric, rather than only newly generated elements (which might be automatically attributed during the gen- eration process). We present methods for identification and categorisation of model elements in models of existing and proposed urban agglomerations. We also suggest how these methods can enable exploration of models, dis- covery of identities and relationships not otherwise obvious, and acquisition of insights to the models' structure and contents which are not captured, and may even be obscured, by manual selection or automated pre-attribution.
Urban cooling strategies applying at neighborhood scale for facing heatwave events

Nowadays climate change is already affecting weather and climate extremes across the world, the scale of recent changes is unprecedented. Defined as prolonged periods of excessive heat, heatwaves are a specific type of extreme temperature event. Heatwaves are among the most dangerous of natural hazards. The study explored and analyzed how the implementation of heat-stress resilience strategies can create cooler settlements at neighborhood scale in arid contexts (Metropolitan Mendoza Area-Argentina). The methodology consists in an outdoor microclimate campaign and a computational model construction and statical validation for test outdoor cooling strategies (cool materials, street trees, densified, and the combination between them) in six scenarios. Results shows that combined strategies performance better, densified+cool materials+street trees, and cool materials+street trees. These scenarios can reduce temperatures for projected heatwave events by 3. 8ºC in the maximum, 1. 0ºC in the minimum and 2. 1ºC in the average air temperatures; and 3. 8ºC in the maximum, 0. 8ºC in the minimum and 1. 9ºC in the average air temperatures respectively. The main approach of the study is the evaluating of feasible strategies with the scope of generate neighborhood scale planning recommendations for cities with arid climates. Further studies would determinate which resilience strategy can be the most viable and cost-effective.
Seismic analysis of the Shamkir reservoir area through insights into the dynamics of the earthquake characteristics

seismotectonic model Summary. This paper is dedicated to analyze the Shamkir reservoir area applying different tools using earthquake catalogs as a source to build up a long-term seismicity rate. The study area surrounds the western part of the Middle Kur depression and the north-eastern part of the Lesser Caucasus. The area covering 4300 km 2 , is squeezed under seismic impact of mountainous zones such as the Greater Caucasus slope from the north and the northeastern part of the Lesser Caucasus from the south. The analysis was done estimating b-value, describing the relative distribution size of earthquake. Two catalogs of earthquakes were used to proceed the research: until 2015 with historical period (Nº1) and instrumental period between 1966-2018 (Nº2). b-value was estimated for each catalog defining M c – magnitude of completeness, M max – maximum magnitude and bins – magnitude steps on the Gutenberg-Richter linear relationship. For the catalogs Nº1 and Nº2, b-value was found 0.64 and 0.52, respectively. Furthermore, this study investigates the intensity distribution on the characteristic of earthquake faults computed by means of empirical relationship between maximum magnitude the source (faults) can generate and the length of the source (faults). The intensity that could be used to describe earthquake shaking in the northern part of the site of interest was observed as VII (MSK-64) and in the southern part as VIII. © 2023 Earth
Data Assimilation Algorithm Apply to Energy-Water Balance Analysis of the High Cold Ecosystem at Qinghai-Tibet Plain, Northwest China

The frozen soil region of many years located in the Qinghai-Tibet Plain hinterland,Changing of the Water content of soil during freeze-thaw process,intensely responds to climate change and brings remarkable change on land energy-water balance,then has the large feedback function to the global climate.In order to reveal this kind of change,we used the observation data from the wind volcano testing field system,selected water-heat coupling model SHAW as dynamics restraint frame,which consider the influence of snow cover the vegetation cover the forest flooring to the soil freezing and thawing,and improved SHAW forecast capacity to the soil moisture content and the frozen soil depth by Ensemble Kalman Filter of data simulation method.The analysis based on data assimilation theory indicate that the data assimilation method may remarkably enhance the forecasting ability of water-heat coupling model to state variables,and provide theory basis for monitor utilizing multiple source information in frozen soil area.
Sens w pracy. Dlaczego ma znaczenie dla organizacji i o czym może świadczyć niezdolność do jego podtrzymania?

Przedmiotem uwagi w artykule uczyniliśmy poczucie sensu z wykonywanej pracy. Nie kwestionując wniosków wyłaniających się z badań psychologicznych, postanowiliśmy spojrzeć na nie z innej perspektywy i wskazać, dlaczego poczucie to jest tak ważne dla sprawnego funkcjonowania organizacji. To od niego wydaje się bowiem zależeć zaangażowanie zawodowe pracowników, a jego brak niesie ze sobą wzrost kosztów, które trzeba przeznaczyć na monitorowanie ich pracy (w skrajnych przypadkach prowadzi zaś do anomii organizacyjnej). Chcieliśmy także pokazać, że niezdolność niektórych organizacji do podtrzymywania czy kształtowania sensu może być przejawem bardziej złożonego problemu, świadczącego o istnieniu nieefektywnej kultury organizacyjnej (np. spowalniającej rozwój gospodarczy). Założenia te spróbowaliśmy udowodnić, korzystając z danych dotyczących 21 krajów europejskich, pochodzących z badania pt. Work Orientations, zrealizowanego w 2015 roku w ramach Generalnego Sondażu Społecznego.
Canadian Commercial Catches and Escapements of Chinook and Coho Salmon Separated into Hatchery- and Wild-Origin Fish

Canadian commercial catches and escapements of Chinook and coho salmon separated into hatchery-and wild-origin fish. Abstract This report presents preliminary estimates of Canadian salmon abundance time series partitioned into hatchery-and wild-origin fish for return years 1975-2012. We present a novel coded-wire tag based method to estimate the numbers of hatchery-origin coho and Chinook salmon in the Canadian catch, a method developed that also identifies the jurisdiction of origin of hatchery fish. Escapements were also estimated and partitioned into hatchery-and wild-origin coho and Chinook salmon using spawner escapement data, hatchery-origin escapement estimates, and hatchery release numbers. Missing data in time series of annual escapement were imputed using a method of infilling expected values in contingency tables. When taking into account the entire time series for each species, wild fish were always more abundant than hatchery fish in both catch and escapement, except for Chinook catches off the West Coast of Vancouver Island. Catches of migrating U.S. hatchery fish resulted in higher proportions of hatchery fish in the catch than escapements for coho on the West Coast Vancouver Island and Chinook throughout British Columbia. We are currently making refinements to the methods that may result in changes to the preliminary results presented here.
An Improvement to the Hybrid Subgradient Method for Aircraft Maintenance Routing Problem

In this study, we present an Aircraft Maintenance Routing Problem within a connection network. Within this network, flight legs serve as nodes, and the connections between them are represented as arcs. Our approach formulates this problem as an asymmetric traveling salesman problem while introducing additional side constraints. In our model, the decision variables pertain to the connections between flight legs, and these side constraints play a crucial role in ensuring that fleet size limits are upheld and that maintenance requirements are met without violation. To address the intricacies of this problem, we propose a hybrid solution approach grounded in the sharp augmented Lagrangian method. This method involves the integration of side constraints into the sharp augmented Lagrangian function. Our approach combines Gasimov's modified subgradient algorithm with the ant colony optimization metaheuristic, resulting in an effective solution to the Lagrangian dual problems.
New Insights via RNA Profiling of Formalin-Fixed Paraffin-Embedded Lung Tissue of Pulmonary Fibrosis Patients

In sporadic idiopathic pulmonary fibrosis (sIPF) and pulmonary fibrosis caused by a mutation in telomere (TRG-PF) or surfactant related genes (SRG-PF), there are a number of aberrant cellular processes known that can lead to fibrogenesis. We investigated whether RNA expression of genes involved in these processes differed between sIPF, TRG-PF, and SRG-PF and whether expression levels were associated with survival. RNA expression of 28 genes was measured in lung biopsies of 26 sIPF, 17 TRG-PF, and 6 SRG-PF patients. Significant differences in RNA expression of TGFBR2 (p = 0.02) and SFTPA2 (p = 0.02) were found between sIPF, TRG-PF, and SRG-PF. Patients with low (<median) expression of HSPA5 (p = 0.04), COL1A1 (p = 0.03), and ATF4 (0.005) had significantly longer survival rates than patients with high (≥median) expression of these genes. In addition, we scored for low (0) or high (1) expression of six endoplasmic reticulum (ER) stress genes (HSP90B1, DDIT3, EDEM1, HSPA5, ATF4, and XBP1) and found that patients with high expression in a low number of ER stress genes (total score 0–1) had longer survival rates than patients with high expression in a high number of ER stress genes (total score 2–6) (p = 0.03). In conclusion, there are minor differences between sIPF, TRG-PF, and SRG-PF and high expression in a high number of ER stress genes significantly associated with shorter survival time, suggesting that ER stress may be a target for therapy for PF.
Estimation of Design Storms in Consideration of Climate Variability and Change.

This paper presents a downscaling approach to describe the linkage between large-scale climate variables given by General Circulation Model (GCM) simulations to the estimation of design storms at a local site. More specifically, the proposed approach is based on a combination of a spatial downscaling method to link GCM-based variables with daily extreme precipitations at a site and a temporal downscaling procedure to describe the relationships between daily and sub-daily extreme precipitations based on the scaling General Extreme Value (GEV) distribution. The proposed method was tested using simulations from two GCMs under the A2 scenario (HadCM3A2 and CGCM2A2) and annual maximum (AM) precipitation data available at 15 raingages in Quebec (Canada). It was found that GCM-based daily climate predictors can be linked to sub-daily AM precipitations at a site. Finally, the IDF relations and the resulting design storms at Dorval Airport for present and future periods were constructed. It was found that AM and design storm rainfall intensities downscaled from the HadCM3A2 displayed small decreasing trends in the future, while those values estimated from the CGCM2A2 indicated large increasing trends. Similar variations were found for flows characteristics of typical urban areas with different sizes, shapes, and imperviousness levels.
Human-induced soil degradation in China

Based upon the concepts of ASSOD for soil degradation, the reality of China and some references, the paper presents the dynamic changes of different kinds of soil degradation in China while discussing the characteristics of the soil degradation, the problem and prospect of the related research in China. One sixth of Chinese national land is more or less eroded that is mainly distributed in the Yellow River drainage area, south China hilly area and northeast China. Land uses in some wrong ways and moveable dunes result in the desertification in north and northwest China especially the interlaced belt between agricultural and stock raising farms. Soil salinization resulted from irrigation is mainly located in the Huanghuaihai plain, west part of northeast China plain and northwest inland China. Almost all cultivated soils nationwide in China are declining in their fertility because of the bad balance between nutrient input and output. Soil gleyization can be found mainly in northeast China and Aba region in Sichuan province resulted from processes including freezing and thawing, surface waterlogging. Soil pollution and non-agricultural use of the soils are two problems caused by the quickly grown industrialization and urbanization in China.