Miracle-dz/UniFAR-FTUs huggingface dataset:
Perancangan E-Commerce pada Aneka Sangkar Jambi Berbasis WEB

Promosi dan penjualan Aneka Sangkar Jambi masih dikelola secara konvensional sehingga terjadi permasalahan yaitu sulitnya meningkatkan omzet penjualan dalam jumlah yang besar, kurangnya sarana promosi yang dapat dilakukan dengan biaya murah, dan kurangnya sarana pemberian informasi produk yang ditawarkan. Penelitian ini bertujuan merancang sistem informasi e-commerce. Metode pengembangan sistem menggunakan metode air terjun, framework codeigniter PHP sebagai bahasa pemograman, dan DBMS MySQL sebagai database. Hasil sistem e-commerce memberikan kemudahan kepada Aneka Sangkar Jambi dalam memberikan pelayanan kepada pelanggan, memberikan informasi produk secara detail, dan dapat berinteraksi dengan pelanggan sesuai dengan kebutuhannya. sistem e-commerce yang bisa mempermudah Aneka Sangkar Jambi dalam memperluas wilayah promosi dan dapat menjelaskan produk-produk yang ditawarkan secara detail baik dari nama produk, detail, harga dan gambar, mempermudah pelanggan dalam memesan produk secara online, memilih ekspedisi pengiriman produk, dan dapat mengkonfirmasi pembayaran sehingga tidak perlu datang ke tempat untuk membeli produk dan pelanggan dapat langsung berinteraksi secara langsung melalui website dengan adanya fitur forum
PDIN: a progressive image rain removal network based on camera imaging principle

Abstract. Traditional rain models typically focus on modeling images based on the physical characteristics and generation of rain streaks, which often obtain good results in the synthetic dataset. However, in real-world scenarios, the transformation of the camera depth of field (DOF) and the focusing position lead to different degrees of blur in different areas of the image. This variability poses challenges in extracting and processing rain streaks far from the camera DOF. Furthermore, the current image rain removal model has grown increasingly complex, which makes the image rain removal task difficult to make real time for practical applications. To address this challenge, we take a novel approach by considering the camera imaging principle. We explore the potential depth information concealed within regions of image blurriness, introducing a raindrop model and proposing the progressive depth information network (PDIN). To be specific, PDIN concurrently learns both the direction characteristics and depth information of the rain streaks and gradually removes the rain streaks in a cyclic way. Our method innovatively considers the blur problem of rainfall images from the perspective of camera shooting. Importantly, our model demonstrates excellent rain removal performance with a relatively low time complexity. A large number of experiments on synthetic and real datasets show that PDIN has better performance in image rain removal, which also indicates the rationality of our new model.
VICE: View-Invariant Chess Estimation

: A digitized chess match offers chess players a convenient way to study previous matches. However, manually recording a large number of matches can be laborious, while automated methods are usually hardware-based, requiring expensive chessboards. Computer vision provides a more accessible way to track matches from videos. However, current vision-based digitizers are often evaluated on images captured by cameras placed directly above a chessboard, and performance suffers when the camera angle is lower, limiting their applicability. Motivated to develop a more practical solution, we introduce VICE, a view-invariant chess estimator to digitize matches from camera angles not seen during training. Due to its small model size and computational efficiency, VICE is suitable for mobile deployment. By rearranging the framework for chess detection and incorporating prior information from chess and basic geometry, we simplify the chess estimation problem and mitigate the challenges that current chess digitizers struggle with, such as occlusion. We combine the board localization and chess piece detection phases of classical two-step chess estimation to develop a prototype for the first single-step chess digitizer. We show that, with minimal training data, our prototype can infer moves from camera angles that current chess digitizers cannot, while being much smaller in size.
MAXL: Distributed Trajectories for Modular Motion

Computational fabrication relies on time-synchronized operation of various machine components. Designing machines for novel workflows is of interest to the computational fabrication community, but designing control systems for these machines, especially with diverse actuators and sensors, remains challenging. We present MAXL, a modular, extensible machine control architecture that enables synchronous control of heterogeneous components. We contribute (1) a design pattern for a distributed trajectory object with one author and multiple readers, (2) high- and low-level APIs for interfacing this trajectory object to modular hardware and to digital fab applications (3) a simple time-synchronization algorithm and queuing scheme for distributing the trajectory object, and (4) an extensible hardware implementation of MAXL. We demonstrate MAXL’s utility in developing new computational fabrication applications by integrating it into two motion control applications; one for time-synchronized data output (light-painting), and the other for time-synchronized data retrieval (from an accelerometer). Finally, we discuss how MAXL can be extended for use in future machine applications.
The Influence of the Year of the Dragon on Fertility of Chinese Malaysians: Cointegration and Variance Decomposition Analysis

Despite the downward trend in fertility amongst the Chinese Malaysians, temporary fertility increases are noted in the Dragon years of 1976, 1988 and 2000. The paper therefore examines whether fertility is significantly influenced by zodiacal preferences, mainly the Year of the Dragon, for the Chinese Malaysians, a non-majority group within a mulicultural society. The methodology employed is based on a cointegration and error-correction framework, followed by a variance decomposition technique to capture both within-sample and out-of sample relationships between fertility and zodiacal preferences. Using a fully-fledged model of the determinants of fertility for the period 1974-2009, it is found that the Year of the Dragon significantly increases the Chinese fertility rate in the long-run. The portion of the variance in the fertility rate explained by a shock in the Year of the Dragon is likewise found to be substantial relative to the explained variation in the former following shocks in the other explanatory variables. Broadly speaking, there is some empirical regularity in the Dragon Year phenomenon based on the Malaysian case and studies of different Chinese populations. Zodiacal fertility behaviour appears a distinctive ethnic marker in that; it is no longer limited only to that of ethnic Chinese dominated societies.
A Disinterested Press: Reporting police in a provincial Indonesian newspaper

Abstract This article constitutes the first analysis of newspaper coverage of police in Indonesia. Analysing 63 articles that appeared in the print version of the Lombok Post between September and October 2011, we were curious to see whether recent media liberalisation meant that the press were now critical of police corruption, brutality and ineffectiveness, or whether there existed a close relationship between police and media such that the press worked as a public relations mouth piece for the police. We also wondered whether the Lombok Post reported about police in a sensationalist way in order to sell more newspapers. What we found were articles that generally failed to criticise police or promote police interests in any enduring way. We also found that articles reported on police in a benign way by simply describing characteristics of the incident, victim, and suspect, and discussing the status of an investigation or trial. What our article suggests is that the Lombok Post is largely disinterested in police and policing, and in a circular way both reflects and sculpts public opinion of police. Media significantly shapes public perceptions of police, and as the most widely read newspaper in Lombok, the Lombok Post has the potential to spark critical debate about policing in the region. Until media across Indonesia recognise the importance for democracy of reporting favourably and critically on police, citizens will remain largely disengaged from police, allowing poor policing practices to persist.
Country Level Governance as A Capital Structure Determinant: A Case of Pakistani Non-Financial Listed Firms

Current paper investigated the effects of country governance indicators and firm level variables on the capital structure of non-financial listed firms registered with Pakistan Stock Exchange (PSX) for the interval of 2002-18. The collected panel data was analyzed by employing panel data analysis techniques e.g., pooled OLS, fixed effect and random effect (FR/RE) model and 2-step system GMM. The purpose of employing these techniques was to capture the un-observed heterogeneity and endogeneity in the model. FE model with robust standard error was applied to control the heteroskedasticity in the model. The suitability of pooled OLS and RE model was decided on the basis of P-value of “Breusch and Pagan Lagrangian Multiplier Test” (BPLM). The results revealed that corruption perception, country governance variables and firm level variables have a considerable impact on capital structure of non-financial registered firms. Equally theory and practice can benefit from the study's findings. The study aims to theoretically incorporate new independent variables into the capital structure literature in the context of Pakistan, including political patronage, democratic regime, rule of law, abuse of power, quality of regulation, stability of politics, voice and accountability, and government effectiveness. On the practical side, the findings provide guidelines for the firms to be careful about these determinants that may be helpful in minimizing the default risk associated while lending funds. Future research may be conducted by replicating in other sectors to validate the results.
Using Regression Indices and Multiple Criteria Analysis for Study of Some Rice Genotypes under Interaction of Variable Environmental Conditions

Sixteen genotypes of rice (Oryza sativa L.) were evaluated during 2008 and 2009 growing seasons at two regions at the State of White Nile- Sudan (EDduim and Kosti) to assess stability of performance, and identify high yielding genotypes. The aim of the comparative study was to assess the performance of breeding lines developed for various ecosystems and to identify stable genotypes with wide adaptability. A randomized complete block design with three replications was used in each location. Combined analysis of variance revealed highly significant effects of locations, seasons, genotypes and their interactions for most of the studied traits. All the genotypes gave high grain yield which ranged from 2.17 to 4.03 t ha -1
Site-activatable targeting of macromolecular alendronate for accelerated fracture healing

ABSTRACT Sustainable social activity is a major goal in an aging society, although this is limited by loss of athleticism, with osteoporosis-related fractures being the most common cause of long-term behavioral restrictions in older people. Therefore, the development of therapeutics that shorten the duration of fracture therapy is essential to improve the quality of life and social activity of older individuals. In this study, we developed a polyethylene glycol-modified alendronate (PEG-ALN) that can efficiently deliver the active ingredient (ALN) to fracture sites. PEG-ALN released ALN in response to an acidic pH and was systemically administered to mice in a fracture model. PEG-ALN exhibited selective accumulation at the fracture site and significantly accelerated bone healing compared to free ALN. This study highlights the utility of a simple polymer modification of ALN as a systemically injectable medicine for patients with bone fractures. GRAPHICAL ABSTRACT IMPACT STATEMENT Bone fractures present a significant risk to the health and quality of life of older individuals in aging societies. However, there are limited options for direct pharmacological treatment of fractures. In this study, we optimized a commonly used but therapeutically challenging drug, alendronate (ALN), to target and improve fracture healing. We modified alendronate with high molecular weight polyethylene glycol (PEG) through an acidic-responsive linker (PEG-ALN) and assessed its effect on osteoblasts and osteoclasts, and thereby on bone healing, both in vitro and in vivo. This PEGylation prevented the rapid clearance of ALN in a mouse fracture model and enabled specific accumulation of PEG-ALN at fracture sites. The accumulated PEG-ALN is cleaved by the acidic environment of these osteoclastic regions to release active ALN directly where required. Consequently, the fracture region is converted to an osteoblast-dominated environment with increased recovery of bone fractures. Thus, our study demonstrated that PEG-ALN provides an effective delivery system for ALN to fracture sites, enabling rapid healing without apparent side effects. We believe that the findings of this study are relevant to the scope of your journal as they address the biomedical use of materials that could enhance debilitating conditions that will become more frequent in a rapidly aging population.
Development and validation of the Texas Best Management Practice Evaluation Tool (TBET)

Conservation planners need simple yet accurate tools to predict sediment and nutrient losses from agricultural fields to guide conservation practice implementation and increase cost-effectiveness. The Texas Best Management Practice Evaluation Tool (TBET), which serves as an input/output interpreter and vastly simplified interface for the Soil and Water Assessment Tool (SWAT), was developed to predict mean annual runoff, sediment, nitrogen (N), and phosphorus (P) losses from agricultural fields in Texas under a variety of management scenarios and conservation practices. The Texas Best Management Practice Evaluation Tool was developed to provide a scientific basis for decision making, evaluation, and reporting in state and federal conservation programs. A rigorous, data-intensive calibration and validation process was employed in TBET development. First, hydrology outputs were calibrated with basin scale streamflow data from 20 US Geological Survey sites. Then, runoff, sediment, total N, and total P outputs were calibrated and validated with measured field scale data (260+ site years). Even without calibration, TBET was able to make “good” to “very good” predictions of mean annual runoff and total P losses according to commonly applied model evaluation methods. Calibrated TBET predictions of sediment and total N losses were not as accurate but were still “satisfactory. ” These much-improved results relative to those of often applied tools such as P Indices are very encouraging since the design goals of simple operation and accurate predictions for diverse Texas conditions with only readily available inputs were certainly met. Thus, TBET meets an important need by providing accurate, science-based estimates of conservation practice benefits at the field scale.
Exploring infant and young child‐feeding practices among mothers of well‐nourished children in northern Ghana: An INPreP substudy

Abstract This study investigated infant and young child‐feeding (IYCF) practices among mothers of well‐nourished children in northern Ghana. This was a qualitative study where in‐depth individual interviews were conducted with participants. The interviews were audio recorded, transcribed, and QSR Nvivo software version 11 was used to organize the data before thematic analysis. It was observed that mothers of well‐nourished children were likely to adhere to breastfeeding guidelines and also practice appropriate complementary feeding. Furthermore, these mothers mostly had some form of support from their husbands and mother‐in‐laws in feeding their infants. While adoption and adherence to appropriate IYCF practices contribute to improved nutrition outcomes in children, social support systems are needed to sustain the practice.
Predicting subsalt dip-dependent illumination variations using density bubbles with RTM migration

Summary Variable illumination cause significant problems when imaging subsalt or other geologic regions with velocity variations. Much effort is taken to identify and improve the artifacts from these illumination variations, with limited success. A key challenge is that the illumination variations are a strong function of dip angle. Methods based on a single illumination value at each depth location or based on predefined reflector dip will be incomplete. We propose using “density bubbles” to identify the illumination variations as a function of dip, as seen in figure 1. These density bubbles are spheres of moderate density increase inserted in a model used to produce synthetic data. After the synthetic data is processed and migrated, a human can easily see illumination variations as a function of dip. This can be an essential QC mechanism to evaluate different acquisition approaches and imaging approaches. And after imaging, these density bubbles can be an effective interpretation tool for the interpreter to guide him on the imperfections of the seismic image produced with the real data that corresponds to the synthetic data.
Management of soil quality and carbon sequestration with long-term application of organic amendments.

Soil organic matter is of central importance in maintaining soil quality and is also now receiving attention due to the potential for carbon sequestration in soils. Here we aimed to assess the effects of organic and inorganic amendments on soil quality in a rice-wheat cropping system in the Indo-Gangetic plains of eastern India and to evaluate the carbon sequestration potential of such management approaches. Soil samples were collected from a 19 year old long-term fertility experiment in West Bengal and results showed that there were significant increases in nutrient availability with the application of farm yard manure (FYM @ 7.5 t/ha), paddy straw (PS @ 10 t/ha) and green manure (GM @ 8 t/ha) along with inorganic fertilizer. Microbial biomass C and mineralizable C were also increased by the addition of organic inputs. Continuous cultivation, without application of organic inputs, significantly depleted total C content by 39-43% when compared with the addition of organic amendments. There was a significant increase in non-labile C fraction by the amendments when compared with control. There was a net loss of C by 5.6% due to continuous cultivation without any amendment and 26.1%, 17.7% and 6.3% of the C applied through FYM, PS and GM respectively was sequestered.
Preparation of Chitosan from Agaricus bisporus Brown Stems and Studying some Its Physicochemical and Functional Properties

The stems of the brown Agaricus bisporus mushroom, which were obtained from the Al-Wadq mushroom farm / Baghdad, The chemical composition of the mushroom stems was estimated as the proportions of the mushroom components: moisture, protein, fat, ash, carbohydrates (91, 2.8, 0.25, 0.88, 5.07)% respectively. Chitin was extracted from the stemsof A. bisporus brown mushrooms by chemical method using 2 M sodium hydroxide solution and 2% acetic acid. The percentage of chitin extracted from mushroom stems was 13.8%. Chitosan was prepared from the stems of A. bisporus brown using a 50% sodium hydroxide solution at a temperature of 100°C for 3 hours, and the percentage of chitosan in mushroom stems was 10.5%. The chitosan under study was identified using Fourier Transform Infra-Red (FTIR). The degree of deacetylation of chitosan produced from the stems of A. bisporus brown was 83%. The viscosity of mushroom stems chitosan was 40cP. When the viscosity was estimated by dissolving chitosan in 1% acetic acid solution, the molecular weight of mushroom stems chitosan was 46.922 kDa. The stems chitosan was distinguished by its high solubility in 1% acetic acid solution, reaching 90%.
Dual-Setting Bone Cement Based On Magnesium Phosphate Modified with Glycol Methacrylate Designed for Biomedical Applications

Magnesium phosphate cement (MPC) is a suitable alternative for the currently used calcium phosphates, owing to beneficial properties like favorable resorption rate, fast hardening, and higher compressive strength. However, due to insufficient mechanical properties and high brittleness, further improvement is still expected. In this paper, we reported the preparation of a novel type of dual-setting cement based on MPC with poly(2-hydroxyethyl methacrylate) (pHEMA). The aim of our study was to evaluate the effect of HEMA addition, especially its concentration and premix time, on the selected properties of the composite. Several beneficial effects were found: better formability, shortened setting time, and improvement of mechanical strengths. The developed cements were hardening in ∼16–21 min, consisted of well-crystallized phases and polymerized HEMA, had porosity between ∼2–11%, degraded slowly by ∼0.1–4%/18 days, their wettability was ∼20–30°, they showed compressive and bending strength between ∼45–73 and 13–20 MPa, respectively, and, finally, their Young’s Modulus was close to ∼2.5–3.0 GPa. The results showed that the optimal cement composition is MPC+15%HEMA and 4 min of polymer premixing time. Overall, our research suggested that this developed cement may be used in various biomedical applications.
Molecule Builder: Environment for Testing Reinforcement Learning Agents

: We present a reinforcement learning environment designed to test agents’ ability to solve problems that can be naturally decomposed using subgoals. This environment is built on top of the PyVGDL game engine and enables to generate problem instances by specifying the dependency structure of subgoals. Its purpose is to enable faster development of Reinforcement Learning algorithms that solve problems by proposing subgoals and then reaching these subgoals.
Downstream Hydraulic Geometry of Alluvial Channels

This study extends the earlier contribution of Julien and Wargadalam in 1995. A larger database for the downstream hydraulic geometry of alluvial channels is examined through a nonlinear regression analysis. The database consists of a total of 1,485 measurements, 1,125 of which describe field data used for model calibration. The remaining 360 field and laboratory measurements are used for validation. The data used for validation include sand-bed, gravel-bed, and cobble-bed streams with meandering to braided planform geometry. The five parameters describing downstream hydraulic geometry are: channel width W, average flow depth h, mean flow velocity V, Shields parameter τ* , and channel slope S. The three independent variables are discharge Q, median bed particle diameter ds, and either channel slope S or Shields parameter τ* for dominant discharge conditions. The regression equations were tested for channel width ranging from 0.2 to 1,100 m , flow depth from 0.01 to 16 m , flow velocity from 0.02 to 7 m∕s .