Thursday, November 28, 2019

Dating Anxiety Essays - Dating, Philosophy Of Love, Stress

Dating Anxiety Dating Anxiety Have you ever been really stressed about something? Think of the time when you have been the most stressed out. Multiply that to the 10th power and you have me before a date. It seems to me dating and stress are like salt and pepper; you almost never have one without the other. Endless anticipations flood your mind, making it almost impossible to keep a continuous train of thought. The worst thing about dating is that you get seriously stressed out for one lousy night. Its enough to turn a sane mind into a basket case. So much energy is put into preparing for a night that ends up being pretty lame. One thing is for sure; dating is not worth the stress it brings. Here are some examples of typical stresses you are faced with when you go out on a date. First of firsts, what to wear. You keep asking yourself, Does this make me look fat? Is this color all wrong? Where is the skirt I was going to wear? Nothing is clean. Nothing looks right. You have ten minutes until you need to be ready to go and youre running around in your underwear like a chicken with its head cut off. Aaaah! Finally you give up and put on your favorite pair of bedraggled jeans and a solid color T-shirt. Now that youre dressed you start to calm down, only to turn your thoughts to the next major stress of the evening, the stress on your wallet. Youre more broke than humpty dumpty. The date was a mutual proposal, so it would be obnoxiously rude to leave the entire tab for the night up to your date. Frantic, you start searching your room for lost cash and loose change. After searching through all your pockets you realize you have no other choice but to borrow money from your roommate who is still holding a grudge about the five bucks you borrowed last week and have yet to pay back. Tension is filling the house so you decide to wait outside. While waiting for your date you get ambushed by mosquitoes. Now your arms are covered in itchy red bumps that will be nagging at you the entire evening. By the time your date finally arrives, your hair has turned into a frizzy rats nest from waiting in the humidity, not to mention you are in the worst mood possible. You get in the car trying to fake a genuine smile and just when you start to chill out and relax the next issue is faced: where to go. Of course your date leaves this crucial decision entirely up to you. After thinking through all of the spots you like to go to, you pick one that seems to suit you both. Unfortunately, you picked the place where your dates ex-girlfriend likes to go. So you spend the whole evening trying to spark a good conversation as your date jealously eyeballs all the guys his ex is flirting with. After you realize the night is not going to get any better, you get the tab and ask your date for a ride home. Just when you think its over and youre in the clear, you arrive at the most awkward situation of the evening: saying goodnight. Tradition says that there must be a kiss before the night is officially over, but there is absolutely no physical attraction between you and Mr. I cant get over my ex. But rules are rules, so through gritted teeth you survive the goodnight kiss. Mentally exhausted, you hurl yourself onto your bed and attempt to clear your mind of such an unpleasant evening. Despite the tension in your neck that you cant get rid of, you shut your eyes and drift into the worst sleep you have ever had. Although dating is not always such a bad experience, you cant honestly say that it can be completely stress free. I believe that when two people of the opposite sex meet on an individual basis there is something in our bodies that make our hearts pump faster and our muscles get tense. This ultimately leads to some form of stress. Although dating is one of lifes

Sunday, November 24, 2019

Free Essays on Abraham

In the Old Testament, Abraham and Moses were two very prominent leaders chosen by God to do his will. Throughout Genesis and Exodus, both men play important roles in fulfilling God’s will. They are put to many tests, given covenants, and communicate constantly with God. Although they have many similarities such as being leaders and men of God, there are also many differences between the two. In terms of leadership, Abraham was a noble leader. Although he grew up in a camp where the notion of one God was not accepted, he eventually manages to become the leader of a tribe and make the people believe in his faith. He leads them around endlessly from Ur to Canaan, to Egypt, then back to Canaan. His tribe followed him around without much questions. They just followed his leadership. Moses was also a great leader. When he led the Hebrews out of Egypt to the Red Sea, some people questioned Moses saying, â€Å"It would have been better for us to serve the Egyptians than to die in the desert† (Exodus14:12). Moses being a calm leader replied, â€Å"Do not be afraid. Stand firm and you will see the deliverance the Lord will bring you today. The Egyptians you see today you will never see again. The Lord will fight for you; you need only to be still† (Exodus 14:13-14). In the mist of his people doubting him and the Egyptians on the chase, Moses reassures his people to put their faith in God. This shows Moses courageous leadership in a time of eminent danger. After they cross the Red Sea, with the help of the Lord parting it, the Red Sea closes on the Egyptians and Moses and his people are safe. After all this, Moses and his people encounter many struggles such as thirst, hunger, attacks from enemies, however Moses always manages somehow to renew the faith of his people and lead them to the promise land. Just like Abraham, Moses was a worthy leader. They both managed to keep the faith of their people in God and they lead the peopl... Free Essays on Abraham Free Essays on Abraham In the Old Testament, Abraham and Moses were two very prominent leaders chosen by God to do his will. Throughout Genesis and Exodus, both men play important roles in fulfilling God’s will. They are put to many tests, given covenants, and communicate constantly with God. Although they have many similarities such as being leaders and men of God, there are also many differences between the two. In terms of leadership, Abraham was a noble leader. Although he grew up in a camp where the notion of one God was not accepted, he eventually manages to become the leader of a tribe and make the people believe in his faith. He leads them around endlessly from Ur to Canaan, to Egypt, then back to Canaan. His tribe followed him around without much questions. They just followed his leadership. Moses was also a great leader. When he led the Hebrews out of Egypt to the Red Sea, some people questioned Moses saying, â€Å"It would have been better for us to serve the Egyptians than to die in the desert† (Exodus14:12). Moses being a calm leader replied, â€Å"Do not be afraid. Stand firm and you will see the deliverance the Lord will bring you today. The Egyptians you see today you will never see again. The Lord will fight for you; you need only to be still† (Exodus 14:13-14). In the mist of his people doubting him and the Egyptians on the chase, Moses reassures his people to put their faith in God. This shows Moses courageous leadership in a time of eminent danger. After they cross the Red Sea, with the help of the Lord parting it, the Red Sea closes on the Egyptians and Moses and his people are safe. After all this, Moses and his people encounter many struggles such as thirst, hunger, attacks from enemies, however Moses always manages somehow to renew the faith of his people and lead them to the promise land. Just like Abraham, Moses was a worthy leader. They both managed to keep the faith of their people in God and they lead the peopl...

Thursday, November 21, 2019

Drug Rehabilitation Program Essay Example | Topics and Well Written Essays - 1000 words

Drug Rehabilitation Program - Essay Example This work particularly discusses papers about drug rehabilitation programs that governments have initiated so as to curtail crimes including drug addiction. These papers intently look at the benefits of the programs, how they have helped achieved goals of drug use reduction and crime reduction and on the other hand, how the programs have failed to address the problems. The US Department of Justice through the National Institute of Justice has conducted a research to ascertain the effectiveness of different crime prevention programs. Defining crime prevention program as "any practice shown to result in less crime than would occur without the practice", the research divided the effectiveness of the programs into what works, what doesn't work, what's promising and what's unknown (Lawrence W. Sherman, 1998). This article particularly relates to the endeavor of this paper in providing a valid measure and a legitimate result to the questions of effectiveness of crime prevention. This is done with a special focus on the cure for drug addiction among the juvenile. It basically constitutes a review of the existing crime prevention programs of the government. The evaluation made use of scientific measure to "provide a consistent and reasonably objective way to draw conclusions about cause and effect" (Lawrence W. Sherman, 1998). The research methodology consisted of three steps: the search for impact evaluation, the use of Maryland Scale of Scientific Methods and deciding what works, what doesn't work, what's promising and what's unknown. The first step was some sort of literature review. It examines the existing reports that evaluate the effectiveness of crime prevention programs. Next, the researchers adapted the Maryland Scale of Scientific Method ranking each study from 1 as the weakest to 5 as the strongest (Lawrence W. Sherman, 1998). The research design is composed of 5 levels which includes correlation between a crime prevention program and a measure of crime or crime risk factors at a single point in time. To reach the conclusion of effectiveness, a program should at least have a two level 5 studies (Lawrence W. Sherman, 1998). The research showed that "preschool and weekly home visits by teachers, building school capacity to initiate and sustain innovation through the use of school teams or other organizational development strategies, clarifying and communicating norms, training or coaching in thinking skills for high-risk youth, ex-offender job training, extra police patrols in high crime hot spots and rehabilitation programs for adult and juvenile offenders" are among the policies that work. On the other hand, gun buyback program and increased arrest or raids on drug markets are found to be ineffective. To properly label the programs, they used both the secondary analysis and the scientific scale. This is the loophole in the study since there it lacks the quantitative and objective measure is categorizing the program. The only justification provided was the secondary analysis done. The problem however with secondary analysis

Wednesday, November 20, 2019

Significance of HRM to organizational profitability and survival Term Paper

Significance of HRM to organizational profitability and survival - Term Paper Example On the other hand, affirmative action refers to the deliberate organizational approach to addressing past practices of discrimination, by proactively recruiting, hiring and promoting the previously marginalized groups at the workplace including women, minorities, and disabled individuals, among others. EEO is essential at my workplace because it has fostered fairness in all the various human resource aspects of our organization, from hiring to training and development, to promotion of deserving human resources. At my workplace, EEO regulations protects all employees against discrimination on the basis demographical factors; as a result, everyone is treated with respect and dignity that they deserve, regardless of their sex, color, religion, nationality, disability and age. The new knowledge gained in the process of this reflective exercise is that EEO instills confidence in all employees at the workplace while enhancing their self-motivation and commitment towards the achievement of organizational goals and objectives. This fosters the development of a unified and fully integrated workforce that is not only highly motivated and committed to the organization, but also actively engaged in the pursuit of organizational goals and objectives (Koà §, Çavus & Saraà §oglu, 2014). My future career plan as a HRM professional is more likely to be greatly influenced by the understanding that all human resources are entitled to a fair chance in the hiring process, as well as equal opportunities to promotions.

Monday, November 18, 2019

Canadian Federal of Independent Business. Big Opportunities, Bigger Assignment

Canadian Federal of Independent Business. Big Opportunities, Bigger Challenges - Assignment Example The report notes that confusing process of application, too much paperwork, and complex rules’ system frustrates the attempt of these enterprises to access federal procurement. The federal government recognizes the economic benefit of greater SME participation and involvement in procurement, but due to the many existing barriers, suppliers in these enterprises are locked out of many the available opportunities. This is a critique of this CFIB’s opinion that big opportunities are accompanied by bigger challenges, where the information found useful and relevant is highlighted followed by a recommendation on whether or not the report is worth being read by small business owners. Parent (2011) says that CFIB’s conducted several surveys on SMEs Perspectives on Procurement to determine the barriers which hinder transactions between that federal government and the SMEs. The survey reveals that there are about 60% of SMEs respondents who either feel selling to the federal is difficult, hence not worth the effort, or choose not to sell to the government. The rest of the respondents claim that there is no government effort to buy their product and service types. This, according to CFIB findings, is due to many barriers many of which are related to government procurement policy making. CFIB’s point that the restrictions put in place by government officials responsible for policy making bar SMEs participation in procurement is agreed upon. This is because most of these restrictions lead to death of involvement of smaller entrepreneurs in procurement.

Friday, November 15, 2019

Demographic Analysis for Associations with Poverty

Demographic Analysis for Associations with Poverty 3. Socio-economic Characteristics In this paper, demographic characteristics such as age, sex and education as well as socio-economic characteristics such as household assets and livelihood activities are assessed. These characteristics provide an overview on the background of the respondents, which in turn provides an overview about the suitability of the study population. Without necessarily being the source of poverty, it has been pointed out that having a particular characteristic may be associated with poverty. For example, most households that depend on agriculture, livestock and fishing keeping are more likely to be poor. We have also collected data about their profession that how they manage fishing. Also, data has been collected about their economic activities like have they received microcredit or do they pay any usury. Here in the following table we show their professional activities. Non-Users of mobile phone number is 53 out of 205, which is 25.85% and number respondent using mobile more than 1 year is 92 out of 205, which is 60.53%. These characteristics are described in table 1, 2 and 3. Table 3: Information (Qualitative) about Mobile Phone of the User Subject Number of User Percentage Length of using mobile phone 18 11.8% 7 to 12 months 42 27.6% >1 year 92 60.5% Reason of using mobile phone Family 20 13.2% Business 93 51.2% Other 39 25.7% The level of literacy rate is 30.7 % which is less than rural Bangladesh illiteracy rate 50.6% (BBS, 2013). Mobile phones are easy to afford and do not require the user to have much technological knowledge or even to be able to read or write, so this group with primary or no education can operate this. Table 4: Income Status For Mobile Users (N = 152) Variable Income Before use mobile Income after mobile use Income [Mean ( ±S.D.)] (Bangladeshi taka) 13068.39 ( ± 11840.35) 20854.72 ( ±22868.66) Household monthly income N (%) N (%) Lower Income (0-10000) 87 (42.4 %) 75 (36.6 %) Average Income (10000-15000) 34 (16.6 %) 13 (6.3 %) Higher Income (>15000) 84 (41.0 %) 115 (56.1 %) For Non-Mobile Users (N = 53) Variable Last Year Present Year Income [Mean ( ±S.D.)] (Bangladeshi taka) 4666.97 ( ±11390.37) 4134.08 ( ±9743.71) In order to understand the socio-economic status of the households, a number of household assets and livelihood activities were assessed through multiple-response questions. As all respondents are fishermen, so their main earnings are from this occupation. At the same time, they are also involved in some agricultural productions. Also, some respondents are partly involved in business. As we collected the whole information of their family, so the other source of income with fishing by the other members of the family are also involved. The other member either may be migrated or jobholder or may be involved in business like storekeeper. So, in our data, all of the income earnings through these income sectors are also included. The Income group are separated in three groups with their monthly income. The lower income group with the income from 0 to 10000 taka, average income group with the income from 10000 to 15000 taka and higher income group with the income higher than 15000 taka. For mobile phone user, the average income before mobile phone use was 13068.39 taka where after the use of mobile phone this average income raised to 20854.72 taka. For the non-user of mobile phone we collected the data about income for the previous year. The estimated average income of the last year was 4666.97 taka where in present period this income has decreased to 4134.08 taka. The estimated income of the mobile phone user and non-user are given by the following Table-4. 4. Impacts of Mobile Phone Use on Fishing Community’s Business The study has sought to identify the impacts of the mobile phone in fishing community life. Impact refers to the difference that access to the mobile phone has meant to the individuals in the study areas. Assessments of impacts are based on the self-reported advantages of mobile phone access that the interviewees have indicated. Access to the mobile phone has above all meant the creation of more opportunities and choices, but it has also provided help in managing uncertainty. Moreover, existing business relations have been strengthened. We have asked several questions related mobile phone use in their business and they answered (Table- 5). The advantages that the users feel the mobile phone has given them in business transactions is above all relate to the reduced access time to information. Reduced communication expenses are also important to many. Table 5: Business related advantages of mobile phone users (N=152) Mobile phone has helped in: Agreed Easy to use 125 (82.2%) Easy to access market information 128 (84.2%) Reducing search cost and improve market knowledge 110 (72.4%) Reducing risk 119 (78.3%) Most of the respondents say that they call mostly for their business purpose. Before introducing mobile phone they had to accept the middleman’s price offer for fishes because they had no other way to know the market price for fishes in the bigger markets. Mobile phone gave them the opportunity to verify the market price of fishes. Now, before sell fishes to middlemen, they do verify the market price in the nearby markets and only agree to sell when they get a good price. Now they feel much more confident as they have gained bargaining power with the middle men who mostly deprive them from their profit. Table 6: Business information of mobile phone users (N=152) Business Related Questions Agreed N (%) Strongly Agreed N (%) Neither Agreed nor Disagreed N (%) Disagreed N (%) Strongly Disagreed N (%) After using mobile phone income has increased 102 (67.1%) 5 (3.28%) 31 (20.39%) 14 (9.21%) 0 (0%) After using mobile phone savings have increased 78 (51.32%) 6 (3.95%) 33 (21.71%) 35 (23.03%) 0 (0%) After using mobile phone expenditure has increased 82 (53.95%) 17 (11.18%) 37 (24.34%) 14 (9.21%) 2 (1.32%) After using mobile phone, 67.1 percent fishermen have agreed that their income has increased, 3.28 percent have strongly agreed. Again, about the increase in savings, after mobile phone use 51.32 percent have agreed, 3.95 percent have strongly agreed. Finally, about the increase in expenditure. 53.95 percent agreed that their expenditure has increased, 11.18 percent have strongly agreed. 24.34 percent are indifferent whether 9.21 percent have disagreed and 1.32 percent strongly disagreed about the increase in price (table- 6). They are agreed mostly that the impact of mobile phone on rural market is that the rural suppliers could more easily get market information, they could more easily get price information and they find out that the market is expanding. Also they find out that the introduce of mobile phone strengthening their relationships with business partners, motivating himself in taking new initiatives and creating new economic or income generating opportunities. Findings of table- 7 suggest that contribution of mobile phones were enabling rural households in Sylhet region to overcome vulnerabilities related to social exclusion .The phones were also reducing travel times and monetary costs; decreases physical risks; and increases the outcomes of those necessary journeys. Furthermore, increased temporal accessibility enables people to manage several activities regardless of their physical location. Table 7: Qualitative information about mobile phone user’s (N=152) business Livelihood and development aspects Agreed N (%) Does mobile phone can reduce risk? 119 (78.29%) Do you get the assistance of health service initializing mobile technologies? 35 (23.03%) Do mobile application and practices can increase the benefit to women? 68 (44.74%) Do you face any harassment by others? 37 (24.34%) Do your productivity rise? 103 (67.76%) 5. Empowerment Empowerment is the reduction of dependency, owners as well as users have experienced a variety of changes after access to the mobile phone. In rural Bangladesh, people have very little scope for choice in work or social relation but remain confined to the village and its limited income earning opportunities. Economic empowerment refers not only to increases in income but also to having control over resource and resource management, decision making power, involvement in and control over economic transactions. Mobile phone, besides financial gain, could also facilitate the economic empowerment of women. Mobile phone has created an income generation opportunity for rural women. It has also provided scope for interacting with a wider cross-section of people. Obviously, mobile phone as a business venture provides an opportunity for financial gain for the users. Almost most of the fishermen 70.38% (Summation of â€Å"agreed† and â€Å"strongly agreed†, table- 6) have said their income have increased through mobile phone. In the majority of cases the income of the fishermen has increased with the length of the mobile phone owning period. The greater the length of ownership, the higher has been the increase in income. So, apparently, as an income opportunity, the mobile phone has b een a success for the fishermen. 6. Results and Discussion 6.1 Probit Regression Probit regression analysis attained in table-8 suggested mobile phone has a significant impact on social and economic condition. Table 8: Probit Regression: Dependent Variable- Probability of using mobile phone Variables Coefficient Constant -0.24 (0.47) Age -0.01335 (0.0085) Education 0.89** (0.29) Maritaul Status 0.29 (0.23) Otherych 0.0018** (0.0008) Fishych 0.0024*** (0.0007) Credit 0.06 (0.23) Sellall 0.97*** (0.29) Number of observation 205 LR chi2 (7) 59.28 Prob > chi2 0.0000 Log likelihood -88.560767 Note: (1)*, ** *** denote 10%,5% and 1%level of significance respectively, (2) Standard Error is repeated in parenthesis. (3) Otherych=Income from other source; Fishych = Income from fishing; Credit= Micro-credit; Sellall = Sell all fish Probit regression suggested that an increase in Age decreases the predicted probability of mobile phone use by 0.013. However, it can be easily seen that age has no significant influence on probability of mobile phone use. The coefficient ofâ€Å"Education†shows that an increase in education increases the probability of using mobile phone by 0.89. This result was significant at 5% level. Another coefficient ofâ€Å"marital status†was 0.29,which means that there is a positive impact of marriage in the predicted probability of income. One of the most important coefficient â€Å"income from other sources† (Otherych) was 0.00175, the result was significant at 5% level. This means that increase in income from other source than fishing cause increase in total income. The coefficient of â€Å"income from fishing† (Fishych) was 0.0024. This means the increase income from fishing increases the total income. This result was significant at 1% level. The coefficient of â€Å"microcredit† (Credit) was 0.06. This means that an increase in receiving microcredit causes an increase in total income. Coefficient of â€Å"selling all fish† (Sell all) was 0.97. This means that the increase in selling all fish causes an increase in total income. This result was significant at 1% level. The constant term is -0.24 which describes that predicted probability of income of the fishermen through mobile phone is extremely low if all of the predictors (Age, education, marital status, otherych, fishych, credit and sell all) are evaluated at zero. The Likelihood Ratio (LR) Chi-Square (χ2 ) was 59.28 assuming that the model converged with all the parameters. Here, the value of log-likelihood is -88.56, which is negative, indicating better fit of this model. Prob > χ2 If Prob > χ2 tends to zero then there is no heteroscedasticity problem. Our probability of χ2 value is 0.0000 that rules out existence of heteroscedasticity problem. 6.2 Marginal Effects after Probit Marginal effects after probit is taken to find out the variation in the probability of increasing mobile phone use of the respondents. The marginal effects are calculated in Table- 9. Table 9: Marginal Effects after Probit Regression Variables dy/dx Age -0.004 (0.002) Education+ 0.21*** (0.06) Maritaul Status+ 0.08 (0.07) Otherych 0.0005** (0.0002) Fishych 0.0007*** (0.0002) Credit+ 0.017 (0.07) Sell all+ 0.33** (0.11) Note: (1) (+) dy/dx is for discrete change of dummy variable from 0 to 1 (2) *, ** *** denote 10%,5% and 1%level of significance respectively. (3) Otherych=Income from other source; Fishych = Income from fishing; Credit= Micro-credit; Sellall = Sell all fish All else held constant, education increases the probability of income by 21.28% and this was significant at 1% level. As the literate fishermen who are more educated can operate mobile phone effectively than the illiterate fishermen and are more informed about new inventions. They know that the use of mobile phone can minimize their cost by proving various market information including ups and downs in prices, pick demand etc. Relying on the middlemen, instead do not provide the mark; they information about price and market demand. So, the use of mobile phone among the fishermen who are educated is higher than the fishermen who are not educated. Also, the income from other source rather than fishing, when all else held constant, increases the total mobile usage by 0.05 %, with a significance of 5% level .That is, the change in income from other sources like agriculture, remittances, businesses, wage or salaries and interest earnings were influenced by the change in attitude towards mobile use. Again, earnings from fishing increases the total income by 0.07 % and this result is significant at 1% level. That is the income earnings from fishing change the mobile usage positively. The fishermen who were using mobile phone can sell their fishes with better prices. So, the total income of the fishermen who were mobile phone user greater than the fishermen who were not mobile phone user. We have to admit however, that the real impacts on the probability to use mobile phone by both income variables are quite low. Finally, selling all fish remaining increases mobile phone use by 33.14% and this result was significant at 1% level. So, the fishermen who are mobile phone user can sell all the fishes whereas the fishermen who were not the user of mobile phone cannot sell all the fishes very fast compared to fishermen who were the user of mobile phone. As fish is very perishable good, it becomes a vital incentive for the fishermen to use mobile phone. On the other hand, the impact of marital status and credit has no any significant impact on the change in total income. The status â€Å"Married† for person increases the probability of increasing income by 8.14% which was not significant. Receiving credit has a positive probability and increases the probability of increasing total income by 1.67% which was not significant. That the receiving microcredit may enhance their wealth but the wealth status is not much more different of both the fishermen who are mobile phone user or not. Finally, the probability of increase in total income is negatively related to the age. As age increases, the probability of increasing income decreases at 0.37% rate. This change is also not significant.

Wednesday, November 13, 2019

Town Meetings :: Expository Cause Effect Essays

Town Meetings I grew up going to town meetings with Grandma Sue. Every Thursday Grandma would drag me along with her to the meetings. Afterwards, she would always buy me ice cream at Karl's Ice Cream. I loved our time at the ice cream shop, but hated the meetings. But by the time I was old enough to make my own decisions, I couldn't bring myself to tell Grandma that I didn't want to go to the meetings. So I just went along with her. "Town meetings," Grandma would say, "are the only place that we townsfolk get to share our opinions about the shape of things in this town. It's important that we take the time to do so." And share, she did. Grandma shared her opinions about everything at the meetings. Whether it was the construction of a new park, the clean-up crew after the parade, the cost of school lunches, the new leash law, a curfew for teens, or nominations for new board members, she was always involved. She herself was nominated numerous times for positions on the board, but she always declined the nomination. "Some folks have just gotta stay on the other side of politics," she explained to me, "that's how you keep the town running clean." Grandma died of a heart attack when I was 22. Her death came as a surprise to us all. The Thursday after her funeral I just couldn't bring myself to go to the town meeting. I stayed home that week, and the next, and before I knew it, months had passed. Then my neighbor told me about the plan for the new supermarket. She told me that the town had approved a plan to allow a new supermarket to be built on the site of Karl's Ice Cream shop. It meant that Karl's would be torn down! I couldn't bear the thought of losing that precious shop. That Thursday I went to the meeting. When the plan came up on the docket, I stood to speak. "I know what Grandma Sue would have said about this plan, and I intend to say it for her. Karl's Ice Cream shop has been a meeting place for town-folk for more than 80 years.