Impact of Globalization on Aggregate and Agricultural Employment in Pakistan

This study has empirically investigated impact of globalization on aggregate and agricultural employment in Pakistan for the data period 1986-2017. Globalization is proxied by variables trade openness, foreign direct investment, workers’ remittances and exchange rate. Other explanatory variables are real GDP, gender based wage gap and labor force. The study has applied Johansen’ cointegration technique and Error Correction Model to estimate the long run and short run relationships. The findings of the study indicate that in the long run trade openness has negative whereas FDI has positive effect on aggregate as well as agricultural employment in Pakistan during the data period. Interestingly, exchange rate and workers’ remittances affect aggregate and agricultural employment differently. Other important finding is that real GDP and gender based wage gap also deteriorate aggregate and agricultural employment in Pakistan. The study concluded that globalization in the form of trade openness has not supported employment whereas FDI enhanced employment in Pakistan. Policy makers need to consider sector specific effects of globalization while designing policies to achieve inclusive growth in Pakistan.

Pengelolaan Kas Kecil Pada PT Badar Jaya Sakti Pondok Aren Tangerang Selatan,

In order to compete, companies must be able to manage company funds according to a predetermined plan to assist managers in making the right decisions. An example of managing company funds is the use of petty cash funds, therefore companies must manage petty cash properly. If there is no daily management in small amounts, it can disrupt the smooth operation of the business. The research method used in this research is descriptive quantitative interview method, namely conducting direct question and answer by asking questions related to petty cash, interviews were conducted with Mr. Akbar as the Admin section at PT Badar Jaya Sakti (BJS). Documentation study is collecting additional data by attaching documents related to petty cash conducted by PT BJS. The data period used is June 2021 - August 2021. Petty cash management implemented by PT BJS is by using the fluctuating method (Fluctuation System). Where the petty cash account balance is

Daya Saing Ekspor Lada Indonesia di Pasar Amerika dan Eropa

As a major producing country, Indonesia is one of the world's largest pepper exporters where America and some European Union countries have become the destinations of its exports. The purposes of this study are to analyze the performance of Indonesian pepper and the development of its exports and to analyze the competitiveness of Indonesian pepper exports in American and European markets, especially in the period 2004-2018. This research used descriptive analysis from the trade data period 2004-2018, to analyze the performance of Indonesian pepper. From the same data set, this study used competitiveness analysis with the Revealed Comparative Advantage (RCA) method, Export Product Dynamics (EPD), and Trade Specialization Index (ISP). The results showed that the area of cropland and production of Indonesian pepper had decreased, the development of Indonesian pepper exports was also quite volatile. Based on the calculation of RCA, Indonesia has competitiveness or comparative advantage for exports to Germany, the Netherlands, France, Italy and Belgium. The EPD value showed Indonesia was in a Retreat position in the Netherlands, Germany and Belgium. While Indonesia is in the position of Rising Star in Italy, Falling Star in France, and Lost Opportunity in America. Finally, The ISP value showed that Indonesia has strong competitiveness as an exporter of whole pepper.

A Novel Procedure of Enhancing the Throughput of a Mode-2 Sidelink Based on Partial Sensing

Partial sensing is used to reduce the power consumption of pedestrian user equipment (P-UE) that operates in the signal environment of a mode-2 sidelink. However, because the data trans-mission is allowed only for the window duration of each corresponding P-UE, the throughput of the P-UE decreases by the ratio between the width of the window and the entire data period. This paper presents a novel method for enhancing the throughput of the P-UE that operates with partial sensing in the mode-2 sidelink. The proposed technique employs an additional UE, denoted the roadside unit (RSU), to collect the sensing results from each P-UE that operates with partial sensing. The proposed RSU sequentially aligns all of the partial sensing windows, such that the combination of each partial sensing window can eventually provide an almost complete sensing result. In this study, extensive computer simulations were performed. The results reveal that the proposed method enhances the throughput of each P-UE operating with partial sensing almost to that of full sensing without increasing the required power consumption.

Fuzzy mamdani logic inference model in the loading of distribution substation transformer SCADA system

<span id="docs-internal-guid-152e332e-7fff-7073-a541-1d420decb47b"><span>The research objective of supervisory control and data acquisition (SCADA), with fuzzy Mamdani logic simulation on the loading section of distribution transformer substations. Data acquisition is available when saving SAIFI SAIDI data and storing the results of monitoring equipment. The method used is Mamdani fuzzy logic, there are two input variables, namely current and voltage devices. The membership function in Mamdani fuzzy logic has been created based on the input current and voltage variables. Currently: parameter {0, 600} low is created {0, 350, 450, 600}, normal {400-650} parameter is created {400, 500, 550, 650}, parameter high {≥600} is created {600, 650, 750, 1000}, when determining the voltage: low {≤10.5} parameters {0 4 7 10.5}, normal {9-14} parameters {9, 10, 13, 14} and high {≥13} - parameters {13, 14, 15, 16}. Based on the results of the Mamdani logic rule test on the output current containing a transformer and a voltage sensor, the results obtained are IF (normal current; (630) AND voltage (high); (13.2) (high load transformer). The components in the simulation tool include miniature substations made with the 1A travel substation model, 3A substation as the main substation, the relay as distribution substation as the monitoring application. Telestatus and Telecontrol use a microcontroller. Initial scenario. After substation is resumed, data is stored after downtime, service life, duration, and data period. Initial scenario After substation is resumed, data is stored after downtime, service life, duration, and data period.</span></span>

Goodness-of-Fit of Reference Evapotranspiration to Gamma Probability Distribution

This paper aims to estimate, using the Penman-Monteith method, the probabilities of reference evapotranspiration (ET0) in millimeters, as well as their accumulated values for ten days (decendial), in Mossor&oacute;, northeast Brazil. The Meteorological Station of the Federal Rural University of Semi-Arid (UFERSA) provided the daily records of evapotranspiration. The construction of tables based on the approximation of the variable to the Gamma distribution allows the use of data without transformations. The probabilities were estimated with the Gamma distribution at confidence levels of 1% to 95% over the 1970-2007 data period. The results of the chi-square and Kolmogorov-Smirnov tests at 10% probability (p &ge; 0.10) demonstrated the adequacy of the table construction process, providing essential support in the planning of agricultural activities in the region to obtain the maximum benefit from evapotranspiration data. The Gamma probability distribution best described the ET0 for scaling irrigation systems in the county. The maximum daily ET0 for irrigation projects in the Mossor&oacute; region is 10 mm, and the cumulative 10-day ET0 averages 80 mm.

Matching Returning Donors to Projects on Philanthropic Crowdfunding Platforms

We propose an approach to match returning donors to fundraising campaigns on philanthropic crowdfunding platforms. It is based on a structural econometric model of utility-maximizing donors who can derive both altruistic (from the welfare of others) and egoistic (from personal motivations) utilities from donating—a unique feature of philanthropic giving. We estimate our model using a comprehensive data set from DonorsChoose.org—the largest crowdfunding platform for K–12 education. We find that the proposed model more accurately identifies the projects that donors would like to donate to on their return in a future period, and how much they would donate, than popular personalized recommendation approaches in the literature. From the estimated model, we find that primarily egoistic factors motivate over two-thirds of the donations, but, over the course of the fundraising campaign, both motivations play a symbiotic role: egoistic motivations drive the funding in the early stages of a campaign when the viability of the project is still unclear, whereas altruistic motivations help reach the funding goal in the later stages. Finally, we design a recommendation policy using the proposed model to maximize the total funding each week considering the needs of all projects and the heterogeneous budgets and preferences of donors. We estimate that over the last 14 weeks of the data period, such a policy would have raised 2.5% more donation, provided 9% more funding to the projects by allocating them to more viable projects, funded 17% more projects, and provided 15% more utility to the donors from the donations than the current system. Counterintuitively, we find that the policy that maximizes total funding each week leads to higher utility for the donors over time than a policy that maximizes donors’ total utility each week. The reason is that the funding-maximizing policy focuses donations on more viable projects, leading to more funded projects, and, ultimately, higher realized donors’ utility. This paper was accepted by Kartik Hosanagar, information systems.

Precipitable water vapor from GPS tropospheric path delays over the Eastern Mediterranean: trends, diurnal and long-term variability

&lt;p&gt;Global Navigation Satellite System (GNSS) tropospheric path delays provide an important tool for studying Precipitable Water Vapor (PWV) variations. Here, we process and analyze PWV time series extracted from the Survey Of Israel Active Permanent Network (SOI-APN) GNSS ground receivers in the Eastern Mediterranean region. We derive the annual and seasonal PWV diurnal cycles along with the PWV long-term trends, annual and inter-annual variations. The data period spans from 5 to 21 years, ensuring its suitability for studying the PWV variations at different time scales. For the diurnal cycles, we focus on the summer months (JJA), where the Mediterranean Sea Breeze (MSB) plays a dominant role in transporting humidity inland. We find that for most stations, the diurnal amplitude in summer is the highest compared to the seasonal mean. Moreover, using the PWV peak hour in the coastal and highland stations, we detect a frontal MSB propagation from the coastline eastward inland combined with northern winds enhancement due to the Coriolis force. The peak hour is also correlated with the distance from the Mediterranean Sea shore, substantiating the MSB&amp;#8217;s role as a key driver of the PWV diurnal variability during summer months. In addition, a strong correlation between the PWV diurnal cycle and the atmospheric Mixing Layer Height (MLH) diurnal variations is found using ceilometer data, suggesting that the MLH modulates the PWV. For the annual cycles, the PWV monthly mean values and variability are high in the summer months (JJA) however, Sep and Oct supersede the JJA values where Oct has the highest variability in all stations. We suggest that the Red-Sea Trough (RST) synoptical system plays a dominant factor in shifting the mean PWV annual peak values from the summer months to Oct. This is&amp;#160; further substantiated by harmonic analysis which reveals a non-negligible semi-annual mode with peaks at Apr and Oct when the RST synoptical system is most frequent. The PWV inter-annual variations as represented by the monthly mean anomalies are consistent between all stations, thus suggesting a common regional driver. Moreover, a comparison between the PWV station average anomalies and the ERA5 (the European Centre for Medium-Range Weather Forecasts' latest global reanalysis) regional mean anomalies show a correlation of 0.95. Furthermore, a correlation of 0.72 was found between the regional mean moisture flux anomalies at 750 hPa taken from ERA5 and the station average PWV anomalies, implying that moisture flow accounts for most of the inter-annual variability, however the significance of the 750 hPa pressure level remains ambiguous. In the long term, we find an increasing regional mean trend of ~ 0.5 mm/decade for the whole data period (1998-2019) whereas for the last decade (2010-2019) we find a mean trend of ~ 1 mm/decade suggesting an accelerated moistening of the Eastern Mediterranean region.&amp;#160;&lt;/p&gt;

Changes in the Era of COVID-19: What Can We Learn from the Acceleration of Opioid Overdose Deaths in Maryland over 15 years

This study tracks the number of accidental opioid overdose deaths (OOD) in Maryland from 2003-2020 and evaluates longitudinal trends, with a focus on increased mortality in the context of the COVID-19 pandemic. All Marylanders with positive toxicology findings for opioids at the time of death from January 2003 through August 2020 (n = 1276) were included in analyses. Data were provided by the Maryland Office of the Chief Medical Examiner (OCME) which evaluates all unexpected deaths in the state. We explored longitudinal trends in the data and found a simple seasonal pattern. The number of OOD during the first six months of the COVID-19 pandemic was similar to the number of predicted by pre-pandemic data period. We compared opioid overdose decedents from spring 2019 with those who died in the spring of 2020 to assess the association of the COVID-19 pandemic with changes in manner of death and risk factors for opioid overdose. The likelihood of an overdose death being ruled intentional was lower during the pandemic, and there was a shift in patterns of substance use which may have reflected disrupted access to preferred substances of abuse and medication assisted treatment during the lockdown. More research that includes nationally representative data, extends beyond the early months of the COVID-19 pandemic, and addresses mechanisms that drive change in substance use and treatment in the context of multiple national emergencies is needed.v