Miracle-dz/UniFAR-FTUs huggingface dataset:
Application of Global Reporting Initiative (GRI) Principles for Measuring Quality of Corporate Social Responsibility (CSR) Disclosure: Evidence from Pakistan

CSR Reporting is an essential mechanism for ensuring the transparency and accountability of companies towards sustainability performance. To further promote that sustainable development agenda, CSR-related regulations and policies have emerged worldwide, including in Pakistan. Therefore this study assesses the quality of corporate social responsibility in annual reports issued by firms listed at the Pakistan Stock Exchange. This study has operationalized the Global Reporting Initiative (GRI) principles for examining the quality of CSR disclosures. The paper sample comprised 540 annual reports of 90 financial or non-financial companies from the years 2012 to 2017. Content analysis is performed to look for six quality principles and measures, i.e., balance, comparability, accuracy, clarity, reliability, and timeliness. Results suggested that most Pakistani firms provide precise and on-time information and put less emphasis on the balance of information and comparable information. Moreover, this study also highlighted that organizations should implement the GRI principle for disclosing qualitative CSR report.
Manufacturing of Clayey Bricks by Synergistic Use of Waste Brick and Ceramic Powders as Partial Replacement of Clay

Clay bricks are extensively used as building material worldwide. Natural soil deposits are in constant reduction due to the frequent use of clay to manufacture bricks. About 1600 billion bricks are produced annually by the consumption of millions of tons of natural resources. The prime focus of this study is to assess the feasibility of using a composite mixture of waste brick powder (WBP) and waste ceramic powder (WCP) as a replacement for depleting natural resource “clay” in brick manufacturing. Based upon the previous studies, the replacement levels were kept as (4 + 5)%, (8 + 10)%, and (12 + 15)% of WCP and WBP, respectively. The brick specimens were evaluated in terms of compressive strength, modulus of rupture, density, water absorption, efflorescence, apparent porosity, resistance to chemical attack and sulfate attack, and freeze-thaw resistance. The study reveals that about 27% of clay can be replaced with ceramic waste powder and waste brick powder, which can preserve a massive amount of natural clay without compromising the quality of the bricks.
Extremely Low-Profile Tunable Multiport Handset Antenna

This article presents an extremely low-profile tunable antenna design for smartphones with height of only 0.75 mm. The proposed antenna is integrated into the back cover of the device to utilize the existing gap between the battery and the back cover as efficiently as possible. By utilizing both tunable components and adjustable feeding weights, the designed multiport antenna system covers 3300–4200 MHz frequency range with 100 MHz instantaneous bands. In addition to just frequency tuning, these tunable elements can be utilized to adapt the antenna for different operation environments, such as changes in the structure of the device or the user effect. We show that the proposed antenna can be extended for two- and four-element multiple-input multiple-output (MIMO) operation. The proposed design is manufactured and measured, and the results confirm good antenna performance with average total efficiencies of 35% and 25% in free space and with a hand phantom, respectively.
Characteristics of the Polishing Effects for the Stainless Tubes in Magnetic Finishing with Gel Abrasive

Magnetic abrasive finishing (MAF) is a fast, high efficiency and high-precision polishing method on the surface machining of the metals. Furthermore, MAF also can be utilized to polish the stainless tubes in industrial applications; however, stainless tubes are often a non-magnetic material that makes it difficult for the magnetic field line to penetrate into the stainless tubes, thus reducing the magnetic forces in the inner tubes polishing. That is why stainless tubes are not easy to finish using traditional MAF. Therefore, magnetic finishing with gel abrasive (MFGA) applies gels mixed with steel grit and abrasives that were developed to improve the polishing efficiency and surface uniformity of the steel elements. In this study, a guar gum or silicone gel mixed with steel grit and silicon carbides are used as the magnetic abrasive gel to polish the stainless inner tubes. A DC motor was used to control the rotation speed of the chuck and an AC induction motor connected with an eccentric cam to produce the reciprocating motion of the workpiece were utilized to finish the inner surface of stainless tubes in the polishing process. The parameters of abrasive concentration, abrasive particle sizes, rotation speeds of motor and electric currents were used to investigate the surface roughness and the removal of materials from the stainless tubes. The experimental results showed that since guar gum had better fluidity than the silicone gel did, guar gum created excellent polishing efficiency in MFGA. Furthermore, the surface roughness of the stainless tube decreased from 0.646 μm Ra to below 0.056 μm Ra after processing for 30 min with the parameters of current 3A, gel abrasive with guar gum, rotational speed 1300 rpm and vibration frequency 4 Hz.
Trajectory Online Adaption Based on Human Motion Prediction for Teleoperation

In this work, a human motion intention prediction method based on an autoregressive (AR) model for teleoperation is developed. Based on this method, the robot’s motion trajectory can be updated in real time through updating the parameters of the AR model. In the teleoperated robot’s control loop, a virtual force model is defined to describe the interaction profile and to correct the robot’s motion trajectory in real time. The proposed human motion prediction algorithm acts as a feedforward model to update the robot’s motion and to revise this motion in the process of human–robot interaction (HRI). The convergence of this method is analyzed theoretically. Comparative studies demonstrate the enhanced performance of the proposed approach. Note to Practitioners—In general, the robot trajectory is predetermined and it does not consider the influence of the interaction profiles in terms of position and interaction force between the human and the robot. In addition, it is hard to quantify the influence of interaction profile for the robot trajectory. For teleoperation, an AR-based model is proposed to predict the trajectory of the human and then to update the trajectory of the robot. The developed method includes the following aspects: 1) the robot trajectory can be regulated based on the interaction profiles; 2) the feedforward model can estimate the trajectory of the human to achieve the purpose of human intention recognition in advance for the robot; and 3) the proposed method can be potentially utilized for telerehabilitation, microsurgery, and so on.
"Effects of Lactobacillus Reuteri NBF 1 DSM 32203 Supplementation on Healthy Dog Performance"

In this study was evaluated the effectiveness of a specific probiotic strain, NBF 1 DSM 32203, on the intestinal health of healthy Golden Retriever adult dogs by analyzing their Bodyweight (BW), Body Condition Score (BCS), fecal quality and fecal moisture. In addition, microbiological analyses were carried out at specific time points during the experiment in order to quantify bacterial species such as E. coli (for the total coliform count) and Lactobacilli. The dogs included in the study were divided into two groups: control group, fed the standard commercial diet with the addition of a placebo, and treated group to which the probiotic was administered. The study lasted 35 days in line with the time needed to assess any effects. BW data showed no differences between the two groups of dogs. The fecal moisture was significantly lower at the end of the trial in the treated group compared with the control group; the beneficial effect of Lactobacillus reuteri NBF 1 DSM 32203 was also confirmed by the values of fecal score recorded among the two groups of dogs. Additionally, at the end of the study period, there was a significant increase of Lactobacilli in the treated group respect to the control group (P= <0.001). The data collected in this study report the ability of the probiotic strain L. reuteri NBF 1 DSM 32203 to improve fecal quality parameters such as fecal moisture and fecal quality in healthy adult dogs showing an increase in the Lactobacilli count and a little reduction of total coliforms.
Cryptogamic epiphytes and microhabitat diversity on non-native green ash (Fraxinus pennsylvanica Marsh., Oleaceae) in urban habitats

Sebastian Dittrich , Elke Thiem , Birte Marie Albrecht , Goddert von Oheimb (1-2) With the increased planting of non-native trees within urban environments there is a need for investigating the impacts they may have on the indigenous biodiversity. In this study, we explored the diversity of epiphytic lichens and bryophytes as well as the tree-related microhabitats on planted, non-native green ash Fraxinus pennsylvanica and compared it to that of indigenous Fraxinus excelsior and Quercus robur. We conducted sampling on trees of similar growing conditions and size within two cities of eastern Germany (Dresden and Dessau-Roßlau). In our analysis we did not find any significant differences in epiphyte diversity and abundance. By contrast, microhabitat diversity was significantly higher on F. pennsylvanica than on the indigenous tree species, which we attribute to the pioneer character of F. pennsylvanica with faster ageing. Our results underline a low impact of F. pennsylvanica on epiphytic lichen and bryophyte diversity, while indigenous animals might even benefit from the higher diversity and frequency of microhabitats on trees of this species. Therefore, its use as an ornamental tree should not be generally rejected in urban environments.
Bridge Dynamic Displacement Monitoring Using Adaptive Data Fusion of GNSS and Accelerometer Measurements

The monitoring of bridge dynamic displacement under normal operation conditions has been a vital need for the assessment of the serviceability of bridges. Traditionally, it was mostly accomplished by the Global Navigation Satellite System (GNSS). However, the poor measurement accuracy and low sampling rate of the GNSS limit the use of monitored displacement signals. In this paper, we propose a novel adaptive multirate Rauch-Tung-Striebel (RTS) smoother that fuses the measurement signals of GNSS and accelerometers to improve both accuracy and sampling rate. The proposed algorithm distinguishes itself from previous studies by adaptively estimating the unknown time-varying transition and GNSS measurement noise variances using the variational Bayes (VB) technique, making it more accurate and less human-involved. The proposed algorithm was validated on a field test conducted on Chishuihe Hongjun Bridge in China, which has the second longest main span and the second highest main towers among suspension bridges over valleys in the world. The algorithm estimated the dynamic displacement at an accuracy of 2.09 mm, which is 21.4% better than the result of the previous algorithm, with both pseudo-static and several low-order main vibration mode components recovered.
A Contrast of Recent Changing Tendencies in Genesis Productivity of Tropical Cloud Clusters over the Western North Pacific in May and October

Tropical cloud clusters (TCCs) are embryos of tropical cyclones (TCs) and may have the potential to develop into TCs. The genesis productivity (GP) of TCCs is used to quantify the proportion of TCCs that can evolve into TCs. Recent studies have revealed a decrease in GP of western North Pacific (WNP) TCCs during the extended boreal summer (July–October) since 1998. Here, we show that the changing tendencies in GP of WNP TCCs have obvious seasonality. Although most months could see recent decreases in GP of WNP TCCs, with October experiencing the strongest decreasing trend, May is the only month with a significant recent increasing trend. The opposite changing tendencies in May and October could be attributed to different changes in low-level atmospheric circulation anomalies triggered by different sea surface temperature (SST) configurations across the tropical oceans. In May, stronger SST warming in the tropical western Pacific could prompt increased anomalous westerlies associated with anomalous cyclonic circulation, accompanied by the weakening of the WNP subtropical high and the strengthening of the WNP monsoon. Such changes in background atmospheric circulations could favor the enhancement of atmospheric eddy kinetic energy and barotropic energy conversions, resulting in a recent intensified GP of WNP TCCs in May. In October, stronger SST warming in the tropical Atlantic and Indian Oceans contributed to anomalous easterlies over the tropical WNP associated with anomalous anticyclonic circulation, giving rise to the suppressed atmospheric eddy kinetic energy and recent weakened GP of WNP TCCs. These results highlight the seasonality in recent changing tendencies in the GP of WNP TCCs and associated large-scale atmospheric-oceanic conditions.
The Effect of Sodium-Glucose Cotransporter 2 Inhibitor Ipragliflozin on Insulin Resistance, Hepatic Insulin Clearance, Beta-Cell Function in the Japanese Patients with type 2 Diabetes

Introduction: Sodium-glucose cotransporter 2 inhibitor (SGLT2i) is a medication for type 2 diabetes mellitus (T2DM). Some reports showed SGLT2i improved insulin resistance, however, the effect on insulin resistance is not well established. Hepatic insulin clearance (HIC) is new pathophysiology of T2DM. The effect of SGLT2i on hepatic insulin clearance and insulin resistance is not well known. We investigated the effect of SGLT2i on insulin resistance, insulin secretion, incretins, body composition, and hepatic insulin clearance. Materials and Methods: We conducted a meal tolerance test (MTT), and the hyperinsulinemic-euglycemic clamp in 9 T2DM patients. 50 mg/day ipragliflozin was admitted, MTT and clamp were performed after 4 months. We calculated the postprandial C-peptide AUC to insulin AUC ratio as the HIC. We also measured GLP1, GIP, and glucagon levels during MTT. Results: Body weight, HbA1c, and body composition were not significantly changed after 4 months of treatment. Postprandial glucose, fasting, and postprandial insulin were significantly decreased. The insulin resistance of the glucose clamp was not changed, but HOMA-IR and insulin sensitivity index (ISI) were significantly improved. Incretins and glucagon were not changed. Hepatic insulin clearance was significantly increased, but whole-body insulin clearance was not changed. Fib 4 index and fatty liver index were significantly reduced. HOMA-beta and insulinogenic index was not changed but the C-peptide index was significantly increased. Conclusions: Although patients’ number was small, these results suggest that SGLT2i treatment decreased hepatic insulin resistance, increased hepatic insulin clearance, and decreased hyperinsulinemia, it might protect beta-cell function.
Theoretical evaluation of the performance of IRMOFs and M-MOF-74 in the formation of 5-fluorouracil@MOF

Drug delivery systems are a viable resource to be used in medical treatments that tend to be very aggressive to patients, increasing the bioavailability. In this context, porous structures such as MOFs emerge as promising for this type of application, in which a specific drug is adsorbed onto the structure for further release. MOFs such as IRMOFs and M-MOF-74 are investigated in many applications, including use as a drug carrier. In this work, the Monte Carlo grand canonical simulation was used for obtaining insights on the behaviour of 5-fluorouracil adsorption on IRMOF-1, IRMOF-8, IRMOF-10, Mg-MOF74, Fe-MOF74, Cu-MOF74 and Zn-MOF74. We have evaluated the influence of the adsorption of changing organic and inorganic units, which resulted in different chemical environments. It was seen that the drug interacts more efficiently with M-MOF-74, where the metallic centre plays an important role. For IRMOFs, a larger pore volume increases the amount of adsorbed molecules. This effect is mainly due to the contribution of the efficient interaction between 5-fluorouracil molecules.
Soil organic carbon fractions and its association with water‐stable aggregates under different fertilization management practices

Agricultural soil organic carbon (SOC) plays a critical role in soil ecosystems, and SOC sequestration is a key ecosystem service. This study investigated the SOC fractions, including mineral‐incorporated organic carbon (MSC), intra‐particulate organic carbon (iPOC) and microbial biomass carbon (MBC), in bulk soil and water‐stable aggregates, as influenced by soil fertilization managements, using three treatments: no fertilizer (CK), chemical fertilizer (FR) and organic manure (OM). Fertilizer application significantly increased SOC content and its fractions (MSC, iPOC and MBC) compared to CK, and the effect of organic manure amendment had more impact on the SOC accumulation than chemical fertilizer. Macroaggregate (>250 μm)‐associated SOC, MSC and iPOC (including fine and coarse iPOC) increased by 22%–283%, 18%–84% and 45%–232%, respectively, in FR and OM treatments compared with CK. In addition, the iPOC:MSC ratio values (%) within all size aggregates were all increased in the FR (about 84%–183%) and OM (about 103%–230%) treatments compared to CK (about 65%–146%). Meanwhile, MBC:SOC ratio values were the highest (about 2.16%–3.07%) in small macroaggregates (250–2000 μm), but decreased sharply (about 2%–2.35%) in large macroaggregates (>2000 μm) in different treatments. Our findings suggested that macroaggregates were the main sites of carbon sequestration and that carbon became more unstable with the increase of SOC in aggregates. Furthermore, the microbial biomass showed obvious differentiation characteristics in macroaggregates (>250 μm). Specifically, small macroaggregates (250–2000 μm) contained more microbial biomass, and large macroaggregates (>2000 μm) were inclined to inhibit microbial activity.
Performance Test of GTA 5 Game With MSI Afterburner

In the technology universe, change has emerged with development. The reason for this change can be shown as applications and software that force technology, but it can also be caused by other games that offer more dynamic and realistic environments. The game industry has a great place in the technology world. They come together from various regions of the world and play games together. The innovations in the developing game industry cause various innovations in the computer hardware world. High bandwidth internet, main card, and processors with high data paths, self-controlling, and high surveillance cards are examples. While the latest models, new models in the technology market, new versions in the technology market, while transferring to new systems in the state-of-the-art market. With its different performance and prices, it also includes optimization differences. As in any other benchmarking comparison that is faced with benchmarking in terms of the differences it lives in. With the application opening, the process is started by selecting the game word to be the visual settings level. They are produced by testing on different systems, they are the average FPS values obtained during the test. The benchmarks aim to ensure that the systems make the right decision by indicating the good and the bad sides of each other. Although the user chooses according to these comparisons, they test them on their systems. A vital value for the game world, the "FPS" (Frames Per Second) value represents the biggest cutthroat for writing. In this test, the "FPS" comparison is made by trying different technologies on the same game. The test results are ranked by determining the scores. The characteristic of the scores is that they are based on the test average FPS value.
Multi‐start iterated local search metaheuristic for the multi‐mode resource‐constrained project scheduling problem

In this paper a multi‐start iterated local search (MS‐ILS) algorithm is presented as a new and effective approach to solve the multi‐mode resource‐constrained project scheduling problem (MRCPSP). The MRCPSP is a well‐known project scheduling NP‐Hard optimization problem, in which there is a trade‐off between the duration of each project activity and the amount of resources they require to be completed. The proposed algorithm generates an initial solution, performs a local search to obtain a local optimum, subsequently, for a certain number of iterations, makes a perturbation to that local optimum and performs a new local search on the perturbed solution. This whole process then restarts with a different initial solution for a certain number of restarts. The algorithm was tested on benchmark instances of projects with 30, 50 and 100 activities from well‐known libraries. The obtained results were compared to recent benchmark results from the literature. The proposed algorithm outperforms other solution methods found in related literature for the largest tested instances (100 activities), while for smaller instances it shows to be quite competitive, in terms of the average deviation against known lower bounds.
Situation of Urban Mobility in Pakistan: Before, during, and after the COVID-19 Lockdown with Climatic Risk Perceptions

The coronavirus pandemic (COVID-19) has impacted the usual global movement patterns, atmospheric pollutants, and climatic parameters. The current study sought to assess the impact of the COVID-19 lockdown on urban mobility, atmospheric pollutants, and Pakistan’s climate. For the air pollution assessment, total column ozone (O3), sulphur dioxide (SO2), and tropospheric column nitrogen dioxide (NO2) data from the Ozone Monitoring Instrument (OMI), aerosol optical depth (AOD) data from the Multi-angle Imaging Spectroradiometer (MISR), and dust column mass density (PM2.5) data from the MERRA-2 satellite were used. Furthermore, these datasets are linked to climatic parameters (temperature, precipitation, wind speed). The Kruskal–Wallis H test (KWt) is used to compare medians among k groups (k > 2), and the Wilcoxon signed-rank sum test (WRST) is for analyzing the differences between the medians of two datasets. To make the analysis more effective, and to justify that the variations in air quality parameters are due to the COVID-19 pandemic, a Generalized Linear Model (GLM) was used. The findings revealed that the limitations on human mobility have lowered emissions, which has improved the air quality in Pakistan. The results of the study showed that the climatic parameters (precipitation, Tmax, Tmin, and Tmean) have a positive correlation and wind speed has a negative correlation with NO2 and AOD. This study found a significant decrease in air pollutants (NO2, SO2, O3, AOD) of 30–40% in Pakistan during the strict lockdown period. In this duration, the highest drop of about 28% in NO2 concentrations has been found in Karachi. Total column O3 did not show any reduction during the strict lockdown, but a minor decline was depicted as 0.38% in Lahore and 0.55% in Islamabad during the loosening lockdown. During strict lockdown, AOD was reduced up to 23% in Islamabad and 14.46% in Lahore. The results of KWt and WRST evident that all the mobility indices are significant (p < 0.05) in nature. The GLM justified that restraining human activities during the lockdown has decreased anthropogenic emissions and, as a result, improved air quality, particularly in metropolitan areas.