Miracle-dz/UniFAR-FTUs huggingface dataset:
Third-Party Punishment Mechanism and Corporate Cooperation in Environmental Investment: Experiments on Public Goods Game

In the context of corporate environmental investment (EI), this paper designs an experiment on public goods game without punishment and an experiment on that game with third-party punishment (TPP). Then, the influence of IEP and TPP mechanism on corporate EI behaviors was tested in details. The results show that different enterprises vary in IEP and took heterogenous behaviors in the two corporate EI experiments; the introduction of TPP pushed up the environmental resource investment of enterprises and increased the success rate of EI cooperation; IEP and TPP exerted a significantly positive influence on corporate EI behaviors; the introduction of TPP, coupled with the consideration of corporate IEP, can effectively elevate corporate EI and improve the eco-environment.
Improving Mental Health through Physical Activity: A Narrative Literature Review

Regular participation in physical activity, either recreational, or planned, structured, and repetitive is capable of yielding a multitude of health-improving benefits. Traditionally, physical activity has been recognized for its robust modulatory effects on cardiometabolic, neuromusculoskeletal, and immunological health and function. However, a sufficient quantity of emerging studies lends credence to its inclusion to improving mental health, warranting consideration as an adjuvant modality in treating mental illnesses and emotional and behavioral disorders. A series of studies evaluating the impact of physical activity on mental health revealed that achieving physical activity guidelines jointly set forth by the American College of Sports Medicine (ACSM) and Centers for Disease Control and Prevention (CDC) can reduce onset, incidence, and severity of depression as well as mitigating stress and anxiety. The findings of our review lend further support for physical activity as a means to bolster mental health and serve as a powerful resource for working populations.
A review on non-edible oil as a potential feedstock for biodiesel: physicochemical properties and production technologies

There is increasing concern regarding alleviating world energy demand by determining an alternative to petroleum-derived fuels due to the rapid depletion of fossil fuels, rapid population growth, and urbanization. Biodiesel can be utilized as an alternative fuel to petroleum-derived diesel for the combustion engine. At present, edible crops are the primary source of biodiesel production. However, the excessive utilization of these edible crops for large-scale biodiesel production might cause food supply depletion and economic imbalance. Moreover, the utilization of edible oil as a biodiesel feedstock increases biodiesel production costs due to the high price of edible oils. A possible solution to overcome the existing limitations of biodiesel production is to utilize non-edible crops oil as a feedstock. The present study was conducted to determine the possibility and challenges of utilizing non-edible oil as a potential feedstock for biodiesel production. Several aspects related to non-edible oil as a biodiesel feedstock such as overview of biodiesel feedstocks, non-edible oil resources, non-edible oil extraction technology, its physicochemical and fatty acid properties, biodiesel production technologies, advantages and limitation of using non-edible oil as a feedstock for biodiesel production have been reviewed in various recent publications. The finding of the present study reveals that there is a huge opportunity to utilize non-edible oil as a feedstock for biodiesel production.
OClO as observed by TROPOMI: a comparison with meteorological parameters and PSC observations

Abstract. Chlorine dioxide (OClO) is a by-product of the ozone depleting halogen chemistry in the stratosphere. Although being rapidly photolysed at low solar zenith angles (SZAs) it plays an important role as an indicator of the chlorine activation in polar regions during polar winter and spring at twilight conditions because of the nearly linear dependence of its formation to chlorine oxide (ClO). Here we compare slant column densities (SCDs) of chlorine dioxide (OClO) retrieved by means of differential optical absorption spectroscopy (DOAS) from spectra measured by the TROPOspheric Monitoring Instrument (TROPOMI) with meteorological data for both Antarctic and Arctic regions for the first three winters in each of the hemispheres (November 2017–October 2020). TROPOMI, a UV-VIS-NIR-SWIR instrument on board of the Sentinel-5P satellite monitors the Earth’s atmosphere in a near polar orbit at an unprecedented spatial resolution and signal to noise ratio and provides daily global coverage at the equator and thus even more frequent observations at polar regions. The observed OClO SCDs are generally well correlated with the meteorological conditions in the polar winter stratosphere: e.g. the chlorine activation signal appears as a sharp gradient in the time series of the OClO SCDs once the temperature drops to values well below the Nitric Acid Trihydrate (NAT) existence temperature TNAT. Also a relation of enhanced OClO values at lee sides of mountains can be observed at the beginning of the winters indicating a possible effect of occurring lee waves on chlorine activation. The dataset is also compared with CALIPSO Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) polar stratospheric cloud (PSC) observations. In general, OClO SCDs coincide well with CALIOP measurements for which PSCs are detected. Very high OClO levels are observed for the northern hemispheric winter 2019/2020 with an extraordinarly long period with a stable polar vortex being even close to the values found for Southern Hemispheric winters. Also the extraordinary winter in 2019 in the Southern Hemisphere with a minor sudden stratospheric warming at the beginning of September was observed. In this winter similar OClO values were measured in comparison to the previous (usual) winter till that event but with a 1–2 week earlier OClO deactivation.
Testing the feasibility of EEG signals for emotion recognition

We use the DEAP data set, perform data preprocessing on it, select only the channels corresponding to Fp1, Fp2, F3 and F4, and extract and merge the relevant EEG information to verify the feasibility of EEG signals for emotion recognition. The number of parameters in each group is reduced to between 1 and 25 utilizing principal component analysis. The linear discriminant model and the Naive Bayes model are also used.
Observation of Dynamic State Parameters and Yaw Stability Control of Four-Wheel-Independent-Drive EV

Vehicle yaw stability control is an important part of the active safety of electric vehicles. In order to realize the yaw stability control of vehicles, this paper takes 4-WID electric vehicles as the research object, studies the nonlinear estimation of the state parameters of the lateral stability dynamic system and the yaw stability control strategy. The vehicle state parameter estimation strategy, based on the unscented Kalman filter (UKF) algorithm and the model predictive control algorithm, are designed to control the vehicle yaw stability, which realizes the safe and stable driving of the vehicle. Through CarSim–Simulink joint simulation and hardware-in-the-loop (HIL) experiments based on MicroAutoBox, the effectiveness and real-time performance of the designed control strategy are fully verified, which accelerate the development process of the vehicle controller, and realizes the safe and stable driving of the vehicle.
Gender bias in candidate turnover: A longitudinal analysis of legislative elections in Flanders/Belgium (1987–2019)

A higher candidate turnover among women may be one of the reasons why quota rules seldom succeed in attaining full legislative parity. This proposition is tested on the basis of a longitudinal analysis of 11,678 candidates for legislative elections during the period 1987–2019 in the Flemish region of Belgium. It is shown that male candidates have shorter careers than women, contrary to expectations. The duration of the career as a candidate depends on the electoral performance, but only for men. In the long run, the introduction of a strict quota rule prolongs the candidate careers of both men and women, but the effect for women is much stronger. This finding contradicts the allegation that quota lead to an influx of unmotivated women candidates with a high turnover.
PENERAPAN TRANSFORMASI DIGITAL PADA UKM SELAMA PANDEMI COVID-19 DI KOTA DENPASAR

Kemajuan teknologi yang semakin dinamis diharapkan dapat dimanfaatkan dengan baik oleh pelaku bisnis konvensional. Sejak penetapan pandemik global COVID-19 oleh WHO pada awal tahun 2020, akselerasi transformasi digital merupakan salah satu hal dalam merespon pandemik COVID-19 yang melanda dunia bisnis secara sejak akhir 2019. UKM sebagai sektor yang sudah terbukti dapat bertahan dalam krisis, oleh karena itu UKM didorong untuk mempercepat proses transformasi digital karena kebijakan pembatasan jarak yang diberlakukan selama pandemi covid-19. Penelitian ini bertujuan untuk memahami pentingnya model transformasi digital yang tepat untuk setiap bisnis ukm, khususnya dalam memanfaatkan momentum yang dipercepat akibat kebijakan pembatasan sosial diberlakukan selama pandemi COVID-19, karena dalam pemilihan model yang tepat diyakini akan memberikan probabilitas yang lebih baik dari transformasi yang berhasil. Studi ini merupakan penelitian kualitatif melalui analisis konten untuk menghasilkan konstruksi model teoritis transformasi digital model untuk transformasi digital yang wajar untuk UKM. Hasil yang diperoleh dalam penelitian ini, bahwa berdasarkan pemetaan digital transformasi UKM di Denpasar pada model R-DT, dapat disimpulkan bahwa: (1) pemicu utama DT UKM adalah driver eksternal, driver internal belum banyak ditemukan, terutama di masa pandemi COVID-19, yang dilakukan masih bersifat reaktif dan cenderung hanya menguikuti Langkah-langkah faktor transformasi lain agar tidak mencipatkan keunikan dari UKM tersebut yang akan mengakibatkan hilangnya peluang untuk memiliki keunggulan kompetitif atas pesaing; (2) secara umum pelaksana DT UKM telah menetapkan imperative strategis atas keputusan mereka untuk melakukan transformasi digital, namun belum menetapkan secara terukur milestone sehingga transformasi digital yang dilakukan tidak dapat diukur tingkat keberhasilan; (3) DT yang dilakukan pada umumnya adalah mengubah sebagian operasional perusahaan menjadi digital, hal ini menunjukkan masih rendahnya kematangan digital UKM di Kota Denpasar. Kata kunci : Transformasi Digital, UMKM, Penelitian Kualitatif
Wolf Use of Humanmade Objects During Pup-rearing

Some animals use humanmade objects for building and constructing nests or shelter and even for play. Gray wolves (Canis lupus) gather and use humanmade objects discovered in their natural environment. Gathering humanmade objects is a peculiar behavior particularly when there is no immediately apparent benefit to survival or reproduction. I opportunistically documented 46 different types of humanmade objects with plastic bottles and aluminum cans being the most common items found at wolf pup-rearing sites. Many objects were made of materials that appeared suitable to alleviate pain in teething pups. For some objects, however, it was not immediately obvious that they would alleviate teething pain due to their unpliable material. Additionally, such objects were quite rare in wolves’ natural environment although it was not uncommon to find them at pup-rearing sites. Rare humanmade objects may provide a novelty that stimulates pups more than common objects. I hypothesize that objects used by wolf pups 1) alleviate pain from teething, and 2) provide adults respite from energetic pups. The latter is an important distinction because it implies the benefit of object play is to the adults and not the pups per se. Gathering novel objects that occupy energetic and hungry pups may influence the overall ability of social carnivores to leave young unattended while they hunt, to rest upon their return, and ultimately rear young successfully.
Manufacturing productivity analysis by applying overall equipment effectiveness metric in a pharmaceutical industry

Abstract Improving the productivity of a manufacturing firm is very imperative in order to obtain high profits in such a competitive market. Equipment is an important part of a manufacturing system and its efficiency directly affects the quality and cost of the product contributing to overall productivity of a manufacturing plant. This paper focuses on calculating the overall equipment effectiveness (OEE) at a local pharmaceutical industry and investigates the key factors which influence the overall equipment effectiveness. OEE is an important tool which identifies areas that may have bottleneck in the production line, covering three major aspects such as the availability, performance, and quality rate of the output of equipment. On the basis of OEE, six significant losses were identified. The preliminary results of the analysis showed that OEE for the dry suspension (D/S) section is only 23% which is substantially below the benchmark of OEE level i.e. 85%. The results also presented that prime cause involves a high difference between the performance level of world class and dry suspension (D/S) process which is due to unavailability of machines for a longer period of time and malfunctioned machines producing products in large quantities that need to be reworked or scraped. In order to achieve the world class level of OEE, the performance level of dry suspension (D/S) process needs to be enhanced to 95%. A preventive maintenance strategy could be implemented in the industry in order to avoid inefficient practices and enhance the performance of the whole plant.
Hexarotor Longitudinal Flight Control with Deep Neural Network, PID Algorithm and Morphing

Unmanned Aerial Vehicles (UAV) have become an integral part of life, from military operations to entertainment. With this popularity, the interest of researchers on these UAVs has gradually increased. The use of UAVs in many areas and the researches carried out by researchers have revealed the limitations of these devices. At the beginning of these restrictions is the passage through the narrow space. In this study, longitudinal flight control of a hexarotor UAV is discussed with morphing. The limitation of this study is that it is difficult to estimate the moment of inertia and proportional integral derivative (PID) coefficient values according to the arm length, since there is a change in the hexarotor arm lengths with the morphing and the rigid body model changes accordingly. In this study, it is aimed to obtain these parameters with the Deep Neural Network(Artificial Neural Network(ANN) with two or more hidden layers) to overcome this problem. 15 drawings of hexarotor morphing states were drawn in Solidworks program. A training set was created by obtaining the PID coefficients for the longitudinal flight of these drawings from the Matlab/Simulink program. The training set was taught to the Deep Neural Network and moments of inertia and PID coefficients were obtained according to the arbitrarily estimated arm extension or shortening rates. In addition, the hexarotor dynamic model was derived according to the Newton-Euler approach and modeled using the state space model. The longitudinal flight of the hexarotor is simulated with the state space model. The moment of inertia and PID coefficients were estimated by Deep Neural Network according to the values determined by the program randomly together with the initial state. Simulations were made with these parameters and the results were given in graphics.
Psychometric evaluation of Online Shopping Addiction Scale (OSAS)

ABSTRACT Research examining shopping addiction has been impeded by the controversies regarding its etiology, prevalent estimates, the clinical course, and treatment protocol. This hindrance has led to the development of different psychometric instruments to assess problematic shopping behavior in general and ones that evaluate the online version of shopping addiction in particular. One such scale is the eighteen-item Online Shopping Addiction Scale (OSAS) based on the general addiction model. Although the OSAS has been developed since 2017, it has not been validated thoughtfully. Therefore, the present study sought to evaluate the psychometric properties of OSAS using a Taiwanese sample. Data collected from 350 internet shoppers were subjected to a factor analysis to assess the psychometric characteristics and factorial structure of the scale. Extracted dimensions were then correlated with several demographic and Internet shopping criteria. Results from the current study support the three-factor structure for the 15-item version of the OSAS. The new adaptation of the OSAS was found reliable and showed adequate convergent and criterion-related validity. Furthermore, multi-group CFAs revealed evidence of measurement invariance for configural, metric, and scalar models across gender, suggesting that men and women interpreted OSAS 15-items in a similar manner. These findings support the OSAS as a valid and reliable tool for determining the level of online shopping addiction among the Taiwanese student population.
Assessment of Variations in Serum Testosterone, Follicle Stimulating Hormone, and Luteinizing Hormone Levels in Patients Receiving Radiotherapy for Rectal Cancer

Background: Testes being in close proximity to radiation fields in patients of rectal cancer treated with radiotherapy, inadvertently receive a part of the radiation dose. This study was conducted to evaluate the variation of male sex hormones during the course of radiotherapy in patients with rectal cancer. Method: In this single-institution prospective study, 20 patients with carcinoma rectum were included. The patients were treated with 3-dimensional conformal radiation therapy or intensity modulated radiation therapy technique to a dose of 50.4 Gy for five weeks. Serum testosterone, follicle stimulating hormone (FSH), and luteinizing hormone (LH) levels were obtained prior to and in the meantime of radiotherapy. The post treatment hormone levels were compared to the baseline values. The mean, percentage, standard deviation, and Paired t-test were used for statistical analysis. Results: The mean dose received by the testes was 2.65 Gy (1.96 Gy to 4.96 Gy), which accounted for 5.25% of the total dose. The baseline values of serum testosterone, FSH, and LH were 4.65±0.7 ng/ml, 7.57±1.2 mIU/ml, and 7.93±1.1 mIU/ml, respectively. There was a 32.1% drop in the post treatment testosterone levels compared to the baseline. There was a 77% rise in the post treatment FSH and 40.2% rise in the post treatment LH levels compared to the baseline. There was a significant difference in the rise of LH levels in the patients who received a testicular dose more than 2Gy compared to those who received a dose less than 2 Gy. Conclusion: Radiation therapy was found to have a significant acute impact on male sex hormones in patients receiving radiotherapy for rectal cancer.
Smart terbinafine recent nano-advances in delivery of terbinafine

Terbinafine (TBF) is a drug with well-known antifungal properties effective against skin dermatophyte infections and nail particularly in treatment of pityriasis (tinea) vesicolor due to Malassezia furfur. Terbinafine topical administration is often recommended because commercial conventional terbinafine hydrochloride tablets are more expensive and have potential for significant adverse effects. Only less than 5% of terbinafine is absorbed in conventional topical forms. Novel nano-formulation approaches would be an efficient way to enhance penetration and abortion of topical drugs and eliminate limitations of conventional drug delivery systems. As conclusion, we believe that administering the Terbinafine in nano-formulations, according to different studies, could increases penetration of TBF through stratum corneum and viable epidermis and light the path of nano-structural delivery system in clinical application. Present overview aims to evaluate nano-strategies applied to improve permeation profile and terbinafine skin delivery.
A critical appraisal of diversity in digital knowledge production: Segregated inclusion on YouTube

Diversity in knowledge production is a core challenge facing science communication. Despite extensive works showing how diversity has been undermined in science communication, little is known about to what extent social media augments or hinders diversity for science communication. This article addresses this gap by examining the profile and network diversities of knowledge producers on a popular social media platform—YouTube. We revealed the pattern of the juxtaposition of inclusiveness and segregation in this digital platform, which we define as “segregated inclusion. ” We found that diverse profiles are presented in digital knowledge production. However, the network among these knowledge producers reveals the rich-get-richer effect. At the intersection of profile and network diversities, we found a decrease in the overall profile diversity when we moved toward the center of the core producers. This segregated inclusion phenomenon questions how inequalities in science communication are replicated and amplified in relation to digital platforms.
The Effectiveness of Telemedicine as a Supplementary Antenatal Care in Increasing Knowledge of Pregnant Women

Background: Limited access to health services can occur because an area is difficult to reach, lack of health personnel and facilities, and due to social changes such as during a pandemic. This systematic review aims to study the effectiveness of telemedicine as an antenatal care supplement in increasing the knowledge of pregnant women.Methods: Perform a search for PubMed, ProQuest, and Scopus data sources with population-based keywords, intervention, comparison, and predefined results. The assessment of article quality used the Joanna Briggs Institute (JBI) critical assessment tool.Results: Four studies were synthesized in this systematic review, 2 were experimental studies and the other 2 were descriptive studies. The intervention that was given was the use of telemedicine as a tool to deliver health education or a tool to monitor the physical condition of the mother from a distance. The message given can be in the form of a written message, voice message, or video. Interactive communication between mothers and health care providers can be done with this technology.Conclusion: The application of telemedicine as an effort to increase the knowledge of pregnant women in settings with difficult access to health facilities and pandemic conditions is quite developing, but still requires further study regarding pregnancy outcomes. Further research is needed on the use of telemedicine concerning health costs and costs incurred by both parties. In Indonesia, there are still opportunities to develop telemedicine conceptually and the technology that will be used.