Use of the O2-Thiosemicarbazide System, for the Leaching of: Gold and Copper from WEEE & Silver Contained in Mining Wastes

Environmental pollution today is a latent risk for humanity, here the need to recycle waste of all kinds. This work is related to the kinetic study of the leaching of gold and copper contained in waste electrical and electronic equipment (WEEE) and silver contained in mining wastes (MW), using the O2-thiosemicarbazide system. The results obtained show that this non-toxic leaching system is adequate for the leaching of said metals. Reaction orders were found ranging from 0 (Cu), 0.93 (Ag), and 2.01 (Au) for the effect of the reagent concentration and maximum recoveries of 77.7% (Cu), 95.8% (Au), and 60% (Ag) were obtained. Likewise, the activation energies found show that the leaching of WEEE is controlled by diffusion (Cu Ea = 9.06 and Au Ea = 18.25 kJ/Kmol), while the leaching of MW (Ea = 45.55 kJ/Kmol) is controlled by the chemical reaction. For the case of stirring rate, it was found a low effect and only particles from WEEE and MW must be suspended in solution to proceed with the leaching. The pH has effect only at values above 8, and finally, for the case of MW, the O2 partial pressure has a market effect, going the Ag leaching from 33% at 0.2 atm up to 60% at a 1 atm.

Analysison the Willingness and InfluencingFactors of the Villagers to Market the Rural Collective Construction Land in Nanhai District of Guangdong Province under the Background of Transformation and Upgrading of Manufacturing Industry

By analyzing the cognition and willingness of the villagers in Nanhai district (a big manufacturing city) of guangdong province to the marketing of the rural collective operating construction land, this paper finds out the key factors of the villagers' response to the marketing of the rural collective operating construction land, and puts forward some suggestions on how to promote the villagers' response to the marketing of the rural collective operating construction land. This paper takes villagers from 7 towns in Nanhai District of Guangdong Province as the investigation objects, and effectively gets questionnaires from 596 villagers by means of random investigation. The research methods of descriptive statistics and Logistic regression model are specifically used.The villagers in Nanhai District of Guangdong Province have a strong willingness to market the rural collective operating construction land, among which 63.42% of the surveyed villagers agree to market the rural collective operating construction land, but 36.58% of the surveyed villagers still have a weak willingness. There are five key factors that affect villagers' willingness to market rural collective operating construction land: villagers' education level, agricultural dependence, annual household net income, expectation of market effect and view of market risk of agricultural land.In order to improve the willingness of the villagers in Nanhai District of Guangdong Province to enter the market of the rural collective operating construction land, the following four measures can be taken to realize it: First, to improve the villagers' education level; Second, reduce the villagers' dependence on agriculture and increase the annual net income of the villagers' families. Thirdly, the demonstration effect of entering the market should be effectively done to improve the villagers' expectation of the effect of entering the market. Fourthly, the education of popularizing the knowledge of entering the market should be strengthened to guide the villagers to correctly understand the institutional nature of entering the market of agricultural land so as to reduce the risk of entering the market of agricultural land.

Is There a Differential Market Size Effect in U.S. Free Agent Signings? Evidence From Localized Sentiment Trading

We consider three professional sports and examine if there is a disparate return response to free agent signings with small versus big market franchises. After controlling for player ability, contract characteristics, and negotiation conditions, we find evidence of a more pronounced negative small market effect in response to both basketball and baseball signings, and a more pronounced negative big market effect in response to football signings. Our results suggest that differential market size sensitivities are complex, reflecting the influence of factors such as player ability and compensation in ways that are highly nuanced and unique to each league.

BLACK SWAN GLOBAL MARKET: ANALYSIS OF THE EFFECT OF THE COVID-19 DEATH RATE ON THE VOLATILITY OF EUROPEAN FOOTBALL CLUB STOCK PRICES (CASE STUDY OF JUVENTUS F.C., MANCHESTER UNITED, AJAX AMSTERDAM AND BORUSSIA DORTMUND)

The Covid-19 pandemic that hit the world also directly affected financial markets and global stock markets; this condition in economic terminology is known as the Black Swann Global Market Effect. Black Swan Global Market Effect is also experienced by sports industries in the financial industry, the football industry. The purpose of this paper is to see whether there is an influence between the Covid-19 pandemic conditions on the share value of several major European football clubs, namely Ajax Amsterdam, Borussia Dortmund, Juventus F.C., and Manchester United, as a result of the Black Swan Global Market Effect. The data used in this paper is time-series data from March 2020 to August 2020. Meanwhile, to answer the black swan effect phenomenon, the Threshold Generalized Autoregressive Conditional Heteroskedasticity (TGARCH) method is used. The results showed that stocks that were the object of research (Ajax, Borussia Dortmund, Juventus, and Machester United) showed a large response to bad News (an increase in deaths due to covid-19). Abstrak:Pandemic covid-19 yang mengantam dunia juga secara langsung mempengaruhi pasar keuangan serta pasar saham global, kondisi ini dalam terminology ekonomi dikenal sebagai Black Swann Global Markert Effect. Black Swan Global Market Effect hal ini juga dialami industry-industri olahraga yang berada dalam industry keuangan tersebut salah satunya industry sepakbola.Tujuan penulisan ini adalah untuk melihat apakah terdapat pengaruh antara kondisi pandemic covid-19 terhadap nilai saham beberapa klub sepakbola besar eropa yaitu Ajax Amsterdam, Borussia Dortmund, Juventus FC, dan Manchester United sebagai akibat dari Black Swan Global Market Effect.Data yang digunakan dalam penulisan ini adalah data time series dari bulan maret 2020 hingga agustus 2020. Sementara untuk menjawab fenomoena black swan effect ini digunakan metode Threshold Generalized Autoregressive Conditional Heteroskedacity (TGARCH). Hasil Penelitian menunjukkan bahwa, saham-saham yang menjadi objek penelitian (Ajax, Borussia Dortmund, Juventus, dan Machester United) menunjukan respons yang besar terhadap bad news (peningkatan jumlah kematian akibat covid-19). Black Swan Global Market, Pandemi Covid-19, TGARCH Models