Miracle-dz/UniFAR-FTUs huggingface dataset:
Socioeconomic Conflict between Host Community and Syrian Refugees in Urban Turkey: The Mediating Role of Political Trust

Bu calismada, Turkiye’nin kentsel alanlarinda yasayan ev sahibi topluluklar ile Suriyeli multeciler arasinda yasanan sosyoekonomik uyusmazlik arastirilmistir. Calismanin amaci ev sahibi topluluk uyelerinin kisisel ekonomik tatmin duzeyleri ve multecilere yonelik sosyoekonomik tehdit algilari arasindaki iliskide siyasal guvenin araci rolunu kesfetmektir. Kesitsel anket calismasi yaklasimiyla ve kolayda ornekleme yontemiyle basta Istanbul, Ankara ve Izmir olmak uzere Turkiye’nin farkli kentsel bolgelerinde yasayan 243 yerel sakinden cevrimici anket programi yoluyla veri toplanmistir. Turkiye’nin siyasal, sosyal ve ekonomik kulturu ve gecmis calismalar goz onunde bulundurularak, bu arastirmanin amaclari dogrultusunda algilanan sosyoekonomik tehdit algisi, kisisel ekonomik tatmin duzeyi, siyasal guven ve kamusal hizmetlerden memnuniyet degiskenleri icin olcum araclari tasarlanmistir. Demografik form araciligiyla da katilimcilarin yas, sehir, egitim, cinsiyet ve gelir bilgilerine ulasilmistir. SPSS programinda PROCESS Macro eklentisi uzerinden yeniden ornekleme metodu kullanilarak ve demografik degiskenler (yas, sehir, egitim, cinsiyet, gelir) ve kamusal hizmetlerden memnuniyet degiskenleri kontrol edilerek siyasal guvenin dolayli etkisi analiz edilmistir. Arastirmanin bulgularina gore, kisisel ekonomik tatminin siyasal guvenle ve algilanan sosyoekonomik tehditle anlamli bir iliskiye sahip oldugu gorulmustur. Ayrica, siyasal guvenin sosyoekonomik tehdit algisiyla da anlamli bir iliskiye sahip oldugu gorulmustur. Asil onemlisi, calismanin ana hipotezi olan siyasal guvenin, kisisel ekonomik tatmin ve algilanan sosyoekonomik tehdit iliskisinde anlamli bir araci rolu oldugu sonucuna ulasilmistir. Bu sonuca gore, dusuk kisisel ekonomik tatmin duzeyinin dusuk siyasal guvene yol actigi ve bu durumun da multecilere yonelik yuksek sosyoekonomik tehdit algisina neden oldugu soylenebilir. Calismanin sonuclari, literaturdeki gecmis calismalar, Butunlesik Tehdit, Gercekci Grup Tehdit ve Sistemi Mesrulastirma Kuramlari uzerinden tartisilmistir. Arastirmanin kisitlari ve gelecek calismalar icin oneriler calismanin tartisma kisminda degerlendirilmistir.
Modification and hardware implementation of cortex-like object recognition model

: Object recognition in the visual cortex of mammals and humans has inspired many computational object recognition models. Hierarchical model and X (HMAX) is a well-known biologically motivated object recognition model with scale and position tolerance and high accuracy. Due to the computational intensive nature, hardware implementation with massive parallel processing is suggested for real-time applications. However, it is important to explore algorithmic trade-offs when mapping an algorithm to are configurable hardware. A direct conversion of the software implementation of an algorithm generally results inefficient hardware resource usage. In this study, the authors propose a novel modification into the HMAX model which makes it suitable for hardware implementation. More precisely, to reduce the number of memory blocks and multipliers of the S2 layer of HMAX produces, they replace the first norm by the second norm, which critically affects the silicon area in an application-specific integrated circuit implementation or the required resources in field-programmable gate array (FPGA). To evaluate the proposed model, they implement a pipelined version of the revised model on a mid-range commercial Xilinx FPGA, i.e. XC6VLX240T platform from a Virtex 6 family of Xilinx using ISE. Compared to the recent hardware implementation of HMAX, the proposed model offers 83% resource degradation in DSP48 slices and 3% in memory blocks.
Weak bond-dangling bond conversion in amorphous silicon

Abstract A microscopic model based on charge-induced breaking of weak Si-Si bonds is proposed as an explanation for the experimentally observed increase of the dangling-bond density in a-Si: H upon illumination, charge injection, and doping. Energetic aspects of the conversion between weak and dangling bonds and implications for the electronic density of states of a-Si: H are described, and the relation of the model to negative4 defects in this material is discussed.
Influence of Flight Height on The Accuracy of UAV Derived Digital Elevation Model at Complex Terrain

Lightweight Unmanned Aerial Vehicle (UAV) for 3D topographic mapping in mining industry has been raised significantly in recent years. Especially, in complex terrains such as in open-pit mines in which the elevation is rapidly undulating, UAV-based mapping has proven its economical efficiency and higher safety compared to the conventional methods. However, one of the most important factors in UAV mapping of complex terrain is the flight altitude, which needs to be considered seriously because of the safety and accuracy of generated DEMs. This paper aims to evaluate the influence of the flight height on the accuracy of DEMs generated in open-pit mines. To this end, the study area is selected in a quarry with a complex terrain, which is located in northern Vietnam. The investigation was conducted with five flight heights of 50 m, 100 m, 150 m, 200 m, and 250 m. To assess the accuracy of resulting DEMs, ten ground control points (GCPs), and 385 checkpoints measured by both GNSS/RTK and total station methods were used. The accuracy of DEM was assessed by root-mean-square error (RMSE) in X, Y, Z, XY, and XYZ components. The results show that DEM models generated at the flight heights of less than 150 m have high accuracy. RMSEs of the 10 GCPs increase from 1.8 cm to 6.2 cm for the vertical (Z), and from 2.6 cm to 6.3 cm for the horizontal (XY), whereas RMSE of 385 checkpoints increase gradually from 0.05 m to 0.15 m for the vertical (Z) when the flight height increases from 50 m to 250 m.
Model Predictive Control for a Tendon-Driven Surgical Robot with Safety Constraints in Kinematics and Dynamics

In fields such as minimally invasive surgery, effective control strategies are needed to guarantee safety and accuracy of the surgical task. Mechanical designs and actuation schemes have inevitable limitations such as backlash and joint limits. Moreover, surgical robots need to operate in narrow pathways, which may give rise to additional environmental constraints. Therefore, the control strategies must be capable of satisfying the desired motion trajectories and the imposed constraints. Model Predictive Control (MPC) has proven effective for this purpose, allowing to solve an optimal problem by taking into consideration the evolution of the system states, cost function, and constraints over time. The high nonlinearities in tendon-driven systems, adopted in many surgical robots, are difficult to be modelled analytically. In this work, we use a model learning approach for the dynamics of tendon-driven robots. The dynamic model is then employed to impose constraints on the torques of the robot under consideration and solve an optimal constrained control problem for trajectory tracking by using MPC. To assess the capabilities of the proposed framework, both simulated and real world experiments have been conducted.
Crocodylus porosus: a potential source of anticancer molecules

Background Cancer remains a global threat resulting in significant morbidity and mortality despite advances in therapeutic interventions, suggesting urgency for identification of anticancer agents. Crocodiles thrive in polluted habitat, feed on germ-infested meat, are exposed to carcinogenic heavy metals, are the very few species to survive the catastrophic Cretaceous–Paleogene extinction event, yet have a prolonged lifespan and rarely been reported to develop cancer. Therefore, we hypothesised that animals living in polluted environments such as crocodiles possess anticancer molecules/mechanisms. Methods Crocodylus porosus was procured, blood collected, dissected and lysates prepared from internal organs. Organ lysates and sera were tested for growth inhibition, cytotoxic effects and cell survival against HeLa, PC3 and MCF7 cells and subjected to liquid chromatography mass spectrometry. RNA transcriptome analysis and differential gene analysis were performed using Galaxy Bioinformatics. Results Sera exhibited potent growth inhibition and cytotoxic effects against cancer cells. 80 molecules were detected from C. porosus and 19 molecules were putatively identified. Additionally, more than 100 potential anticancer peptides were identified from sera using bioinformatics based on peptide amino acid composition, binary profile, dipeptide composition and pseudo-amino acid composition. Following transcriptome analysis, 14 genes in treated HeLa cells, 51 genes in treated MCF7 cells and 2 genes in treated PC3 cells, were found to be expressed, compared with untreated controls. Conclusion Animals residing in polluted milieus are an unexploited source for prospective pharmaceutical drugs, and could lead to identification of novel antitumour compound(s) and/or further understanding of the mechanisms of cancer resistance.
Optimal view selection method based on object detection

Industrial parts detection are often studied in three-dimensional space, because of subparts occlusion, the choice of view has a great impact on the detection results. In this paper, the method of object detection combined with the 3D CAD model is proposed, the object detection model based on convolutional neural network was used to screen the visual angle, so as to eliminate the influence caused by the occlusion of parts, which provides a general method for the selection of the optimal view.
Cloud computing resource elasticity scaling method based on neural network time series prediction

With the development of cloud computing, the requirements for dynamic distribution of cloud computing according to the real-time load are getting higher and higher. It is necessary to predict the load of cloud computing resources to achieve the goal of real-time elastic scaling. Cloud computing load will constantly change with time and actual demand. Therefore, lstm-attention model is used to collect data and model and predict cloud computing resource load for a long time, so as to achieve accurate prediction of cloud computing resource load in the future. It can be concluded that the lstm-attention model performs well in cloud computing resource load prediction.
Strategic Model to Assess the Sustainability and Competitiveness of Focal Agri-Food Smes and their Supply Chains: A Vision Beyond COVID 19

There have been disruptions in local and global food supply chains around the world due to the COVID-19 pandemic It has led to rethink various aspects and to consider various trends in the food sector, encourage a more rapid transition and evolution to the Sustainable Supply Chain Management (SSCM), to counteract current problems and to help towards a more sustainable and competitive vision However, there is a strategic disconnection in SSCM between sustainability and strategies related to competitive advantage Therefore, the objective of this research is to propose a decision-making model to assess the sustainability and competitiveness strategically of a Mexican agri-food focal SME (Small and Medium-sized Enterprise) that leads its supply chain It is validated with comparative analysis in the productive taro activity through the Analytic Hierarchy Process (AHP) that contributes to prevent or to face problems such as the COVID-19 pandemic and climate change This research is based on a case study methodology divided into four stages Three presented alternatives are assessed and compared by thirty-five criteria: a) A current situation without sustainability, b) Cost leadership strategy considering sustainability, and c) Differentiation strategy considering sustainability The conclusions indicate more feasibility and compatibility to achieve sustainability with a differentiation strategy than with a cost leadership strategy The current crisis should lead us to think beyond COVID-19, as we have more challenges ahead, such as climate change, environmental impacts, poverty, among other aspects that could cause instability around the world Therefore, the current situation should be an impetus to further progress towards the 17 Sustainable Development Goals, in this case, through the theory of SSCM That is why this model contributes strategically to the SSCM, to develop greater long-term resilience in the Mexican agri-food focal SMEs and their supply chains © 2020 ASTES Publishers All rights reserved
SOIL ELECTRICAL CONDUCTIVITY MAP QUALITY

Soil electrical conductivity (EC) maps must be of adequate quality to be of value for site-specific management. The objective of this paper was to assess the quality of EC maps created with different sampling intensities and interpolation procedures. This study was conducted for fields with limestone soils overlain by loess from the Inner and Outer Bluegrass physiographic regions of Kentucky. The two Inner Bluegrass fields were in tall fescue (Festuca arundinacea Schreb.), and the Outer Bluegrass field was in a no-till corn (Zea mays L.)-soybean (Glycine max (L.) Merr. )-wheat (Triticum aestivum L.) rotation. Bulk soil EC was measured by direct contact along transects when soils were dry. Prediction and validation datasets were collected in perpendicular directions. The data were interpolated with ordinary kriging and inverse distance weighted (IDW) interpolation. Map quality was quantified with prediction efficiency, a reduction-in-error indicator. Log-normal and Box-Cox transformations did not improve spatial predictions substantially. Across locations, sampling intensities, and EC measurements, IDW with a distance exponent of 1.7 (IDW1.7) maximized prediction quality, and prediction efficiency values were 4.0% greater for IDW1.7 than ordinary kriging interpolation. For deep and shallow EC at each location, models were developed that described the relationship between sampling intensity and prediction efficiency (minimum r2 = 0.82). These models were used to demonstrate that by collecting more intensive measurements in fields with greater EC variability, as recommended by the EC sensor manufacturer, the quality of EC maps could be substantially improved. Spatial variability should be assessed during a preliminary survey of EC variability to aid in determining the appropriate sampling interval.
The impact of real effective exchange rate on revealed comparative advantage and trade balance of Pakistan

This study estimates the effects of devaluation and appreciation of real effective exchange rate ( REER ) on revealed comparative advantage ( RCA ) at Harmonized System 2-digit level of exports in Pakistan. A non-linear Autoregressive Distribute Lag ( ARDL ) technique is applied to test the asymmetric evidence. This study employs two models to explore the export performance. Findings/Originality: The results of model 1 estimation confirm the proof of asymmetric ARDL and concludes that devaluation has a positive effect on selected RCA ’s index value and helps enhance exports of Pakistan. Meanwhile, the appreciation of REER is having an adverse impact. Model-2 estimates the effect of these selected RCA’s , REER , and world aggregated income ( Yw ) on the trade balance ( TB ) of Pakistan. The results estimate that an increase in selected RCA’s index values, world aggregated income, and REER depreciation is useful to decrease in deficit TB of Pakistan.
Evaluation of Thermal Stress Indices for Cattle

Thermal environment is an important factor that affects the growth and development of domestic animals. Incorporating various environmental factors into an index greatly facilitates assessing and managing the environment for livestock. Thermal stress is reflected by the physiological responses exhibited by animals including skin temperature, core (rectal) temperature, sweating and respiration rates. In this study, the measurement data that consist of the physiological responses (skin temperature, rectal temperature, sweating rate and respiration rate) of cattle and environmental conditions (air temperature, relative humidity, solar radiation and air velocity)measured at four different sites cross US with different breeds of cows and heifers. The data were used to examine the probability distributions of the physiological responses-skin temperature, sweating rate and respiration rate of cows under stress conditions. Skin temperature and respiration rate were found to follow normal distribution and sweating rate follow Weibull distribution. The effectiveness of eight environmental indices (THI: temperature humidity index; THIadj: adjusted temperature humidity index; TBG: temperature of black globe; BGHI: black-globe humidity index; ETI: equivalent temperature index; ESI: environmental stress index; HLI: heat load index; RRP: respiratory rate predictor) were evaluated based on their correlation coefficients with the physiological responses. Skin temperature is the physiological response that responded to environment conditions sensitively. Among the eight thermal indices examined, THIadj, BGHI and RRP were those most correlated with skin temperature.
Deep Bed Filtration: Mathematical Models and Observations

Numerous mathematical models have been developed to evaluate both initial and transient stage removal efficiency of deep bed filters. Microscopic models either using trajectory analysis or convective-diffusion equations were used to compute the initial removal efficiency. These models predicted the removal efficiency under favorable filtration conditions quantitatively, but failed to predict the removal efficiency under unfavorable conditions. They underestimated the removal efficiency under unfavorable conditions. Thus, semi-empirical formulations were developed to compute initial removal efficiencies under unfavorable conditions. Also, correction for the adhesion of particles onto filter grains improved the results obtained for removal efficiency from the trajectory analysis. Macroscopic models were used to predict the transient stage removal efficiency of deep bed filters. The O'Melia and Ali[1] model assumed that the particle removal is due to filter grains as well as the particles that are already deposited onto the filter grain. Thus, semi-empirical models were used to predict the ripening of filtration. Several modifications were made to the model developed by O'Melia and Ali to predict the deterioration of particle removal during the transient stages of filtration. Models considering the removal of particles under favorable conditions and the accumulation of charges on the filter grains during the transient stages were also developed. This article evaluates those models and their applicability under different operating conditions of filtration.
PCP Pincer Palladium Complexes and Their Catalytic Properties: Synthesis via the Electrophilic Ligand Introduction Route

A variety of PCP pincer palladium complexes having phosphinito groups [2,6-(R2PO)2C6H3PdI (R = alkyl, aryl and Et2N)] were synthesized via the electrophilic ligand introduction route with high efficiency. Thus, trans-(2,6-dihydroxyphenyl)iodobis(triphenylphosphine)palladium was prepared by the reaction of 2-iodoresorcinol with tetrakis(triphenylphosphine)palladium, and the palladium complex was converted to the PCP pincer palladium complexes by treatment with chlorophosphines in the presence of triethylamine in 82−95% yield. X-ray molecular structure analyses of the pincer complexes revealed that the molecules adopted distorted square-planar geometries. The Suzuki coupling reaction of 4-bromoacetophenone with phenylboronic acid took place in the presence of 0.1−0.01 mol % of the pincer complexes to give 4-acetylbiphenyl with turnover numbers of 328−5790.
The Production and Performance of Heat Bonded Glass Connections: an Experimental Study

Connecting glass with heat bonds is a way to create all-transparent glass structures. Two methods have been researched in theory and practice, glass welding, through local heating, and glass fusion through global heating. Both methods have been applied to produce 10 mm thick T-sections of soda lime glass while preventing thermal shock failure and minimizing residual stress. These specimen, and specimen with an adhesive joint, have been tested destructively. It is concluded that it is possible to connect 10 mm thick soda lime glass by welding, if the glass is preheated and the surrounding temperature remains elevated during the welding process. Additionally, glass fusion of a similar product through global heating is possible for the applied temperature schedule. The mould has a paramount inﬂuence on the quality of the product. For both production methods, the annealing schedule was adequate to reduce residual stress. The average strength of the fused specimen was 44% larger. The standard deviation of the welded specimen was smaller: the standard deviation relative to the mean value was 9% for the welded specimen and 60% for the fused specimen. However, the amount of tested specimen is little. This research is a proof of concept for heat bonding soda lime glass of a structurally relevant thickness.
Mycorrhizal Effectiveness on Wheat Nutrient Acquisition in an Acidic Soil from Southern Chile as Affected by Nitrogen Sources

ABSTRACT Acidity, aluminium (Al) and manganese (Mn) phytotoxicity, and low levels of available phosphorus (P) are the main constraints for plants growing in Andisols from southern Chile. This study was carried out to evaluate the effect of arbuscular mycorrhizal (AM) fungus inoculation and two nitrogen (N)-sources on the growth and mineral uptake of wheat (Triticum aestivum L.) plants grown in an acidic Andisol at 120 and 150 days after sowing (DAS). The plants were grown in pots under greenhouse conditions with or without inoculation with the AM fungus Glomus etunicatum CH110 (Morton and Bentivenga) and fertilized with N-ammonium (NH4 +) or N-nitrate (NO3 −). The biomass production was not affected for any treatment used, but the inoculation with G. etunicatum increased the shoot contents and specific absorption rate (SAR) of P and zinc (Zn) at 120 and 150 DAS, especially when N-NH4 + was used. On the other hand, the use of N-NO3 − increased the N (at 120 DAS), potassium (K) (120 and 150 DAS), and copper (Cu) (120 DAS) shoot content, reduced the Al shoot content and Mn SAR (both at 120 DAS). The combined use of G. etunicatum inoculation and N-NO3 − use decreased significantly (P < 0.001) the Mn shoot content and the Al SAR at 150 DAS. The results suggest the selection of NO3 − as N-source to address practical and ecological fertilization management, which is important for acidic volcanic soils from southern Chile, with a natural tendency to produce Mn and Al phytotoxicity.
Board-Level IT Governance

This paper suggests that boards’ involvement with information technology (IT) governance is often not at the needed level. It illuminates the differences between board-level and executive-level IT governance, explains why both the board and executives should be motivated to engage in IT governance, and provides board-level IT governance structure, action, and style suggestions. Building on a categorization of different board governance styles, this paper also offers practical recommendations, including IT related areas and questions the board should focus on, as well as a set of tools to choose and switch between governance styles.