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34. Saba/Sheba

34. Saba/Sheba

I/We begin by the Blessed Name of Allah

The Immensely Merciful to all, The Infinitely Compassionate to everyone.

34:01
a. The Praise and Gratitude is for Allah – the One and Only God of everyone and everything,
b. The One to WHOM belongs whatever is within the celestial realm and whatever is within the terrestrial world, and
c. the Praise be to HIM in the realm of the Hereafter.
d. And HE is All-Wise, All-Aware.

34:02
a. HE Knows whatever goes into the earth and whatever comes out of it, and
b. whatever comes down from the heaven, and whatever goes up into it.
c. HE is The Compassionate, The Forgiving.

34:03
a. And yet those who disbelieve say:
b. ‘The Last Hour will never come upon us.’
c. Say:
d. ‘Yes, indeed, it will!
e. By my Rabb - The Lord - The Knower of all that is beyond the reach of our senses and
perception,
f. it will certainly come upon you.
g. There is nothing even the weight of a speck in the celestial realm and the terrestrial world that escapes HIS Knowledge.
h. As also there is nothing even smaller than that or bigger but it is in a Clear Book.’

34:04
a. Thus HE keeps track of everything so that HE may reward those who believe and practice righteousness.
b. It is they for whom will be forgiveness and a generous provision in the Paradise.

34:05
a. As for those who challenge and strive against OUR Messages in the Qur’an,
b. seeking to undermine them and thwart their purpose,
c. those - for them will be a painful punishment...

Trading in Influence: Modus Baru dalam Korupsi Indonesia Tahun 2022 dan Paradoks Kriminalisasi

This study evaluates the handling of corruption cases by the Prosecutor's Office, the Police and the Corruption Eradication Commission throughout 2022 and gives a fair grade (C) with a handling percentage of about 50% of the target of 2,772 cases. A comparative assessment of the last five years illustrates the dynamics of the handling of corruption cases. Quantitative charts highlight trends in enforcement, from the number of cases to potential losses to the state. Mapping corruption cases using the influence peddling mode involves identifying, analyzing, and summarizing patterns. Mapping steps include identification of cases, analysis of characteristics, creation of visual maps, integration of contextual factors, trend analysis, and recommendations. This mapping supports the understanding and formulation of strategies for dealing with corruption cases using the influence trading mode. In 2022, budget abuse dominates, followed by price gouging and fictitious activities. The high prevalence of these three methods indicates a lack of oversight in development and widespread corruption in the procurement of goods and services. Of the 579 cases, 43% involved the procurement of goods and services. Influence trading methods were also identified and used 19 times. The delegation of great authority to regional heads creates bargaining in the promotion and transfer of ASN. The case of buying and selling positions involving Regional Heads and ASN reflects the symbiosis between the two, with greed for power and ASN's desire to obtain immediate positions. The rise in this case is likened to an iceberg phenomenon, with the possibility that many cases have yet to be discovered.

Local Knowledge and Capacity in Management of Disaster and Vulnerability a Case Study of Coastal Area of Sindh.

Coastal belt of Pakistan covers area of 1050 Km i.e. 700 Km from Baluchistan and 350 from Sindh province. The coastal line of Sindh starts from Hub River and last boundary of belt is Sir Creek. This belt is further categorize into two parts i.e. Karachi coastal area and delta of Indus river. The Indus Delta stretches from Port Qasim to Sir Creek and covers a coastal belt of about 180 km. Three districts of Sindh located in coastal area of Sindh, i.e. Karachi, Badin and Thatta. These districts are in coastal belt of Sindh so they are very close to each other. In many aspects like population, Karachi is biggest city of Pakistan and has an active port. Present study was conducted in two district of coastal area of Sindh due totheir socio economic condition and vulnerability towards disaster i.e. District Thatta and District Badin. According to 1998 census combine population of the study area is 2.26 million (District Badin 1.11 million and District Thatta 1.25 million). In study area,eight talkus situated in coastal are from both districts. Population of these eight talukas is 1.14 million which is equal to half population of two districts. In Thatta 0.62 million people are living in six taluka of coastal area and in Badin 0.52 million people are living in two talukas of coastal belt. Rate of increasing population in theses area is 2.2 % per year. The coastal area of Pakistan is highly vulnerable to frequent disasters like cyclones and floods. During 2010 and 2011 the area was continuous slunk in flood water. Moreover cyclones put more threat to the livelihoods of the population and make them highly vulnerable. Increasing climate changes after 1999 increases the frequency and severity of cyclones and floods in coastal areas. Besides this erosion of coastal embankment, increasing salinity, increasing population and pollution and improper fishing practices make the coastal areas highly deprived. The present study investigated the past and present status of local knowledge, skills and coping capacity of coastal community for disaster management in Pakistan generally and in Sindh province specifically for reducing their vulnerability to disasters. For long term and sustainable development of the coastal communities of Sindh province of Pakistan present study highlight the local wisdom. Main idea of the research was to study the impact of traditional knowledge and xix capacity of the local communities on disaster coping stratifies and mitigation measures of the study area at local level. A total of 360 households were selected from two districts, multistage sampling technique was used to select households. The primary data collected from household survey was analyzed. Disaster vulnerability analyzed through Pressure and Release model, vulnerability matrix. Comparison of vulnerability among two districts was done through t-test. To measure disaster destruction Paired test has used. The multiple linear regression results of each district shows the impact of independent variables “vulnerability” and “ hazards” on dependent variable “risk. The multiple linear regression applied to primary data the results revealed that on comparing both the districts it could be narrated that in Thatta both dependent variables “vulnerability” and “hazards” have more impact on risk than in Badin. This is because of more deteriorating socio- economic conditions of Thatta and its more sensitive ecological nature. With the increasing socio-economic changes in this global village, local knowledge is wear away unremittingly and having no severe to sightsee. New peers are accepting new ways of life and grownup groups reminisce very less. Proper utilization of local wisdom, knowledge along with modern tools and techniques can give rid from disaster worst situation and can reduce risk. To measure local knowledge and wisdom of the community statistically new model has developed through primary data, Model for local knowledge. In the model Local Knowledge is dependent variable whereas, age, experience, and living status are independent variable. The impact of these independent variables on dependent variable has measured through multiple regressions. The data results show that in rehabilitation and reconstruction organizations help the vulnerable community only in managing lives lost and recovering land losses although support much less i.e. 7 % and 6% respectively. A huge percentage of community i.e. 44% and 59% of the community recover by self-help. The present study also investigated that the key features of local knowledge and capacity of coastal communities for mitigation, preparedness and recovery from disasters, and how these communities utilized their knowledge traditionally in pre and post disaster situation. Based upon the research findings it is recommended that local people should be taking on trust to use their local knowledge to forecast disaster and adopt preventive measures to have least losses xx by government and other organization. There must be community based organizations at every village level to compel villagers to adopt short term safety measures during and before any disastrous event which they learned from their parentages and modern ways. Local knowledge and wisdom should be added in policies and policy makers have to give importance to local community at all stages of disaster management planning and process because they are the first victims of any disaster. Government should have to develop and implement appropriate environmental laws, acts and ordinances to achieve sustainable development and to reduce further environmental degradation. These suggestions would facilitate and sustained reduction in disaster vulnerability and ultimately play a very good role in sustainable development.
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