لوطی حرکات ہم جنس پرستی
یہ انسانی معاشرہ ہے انسان خطا کا پتلاہے ،لیکن ابلیس کے پیروکار یہ لوگ اسی انسانی معاشرے میں بظاہر خود پر انسانیت کا لبادہ اوڑھے حیوانیت کو ترویج دیتے ہوئے ،انسانی حدود سے ہی باہرنکل جاتے ہیں۔نا صرف خود اس کام میں شامل ہوجاتے ہیں بلکہ اپنے آس پاس کے لوگوں کو بھی ملوث کرنا چاہتے ہیں۔اچھی سوچ وبصیرت کا مالک ایسے گندے کام سے کراہت محسوس کرتا ہے اور خود کو غلاظت سے پاک رکھتا ہے۔خواہ وہ کوئی بھی ہوکیونکہ وہ انسانی حدود کو جانتا ہے لیکن کچھ جو انسانی حدود سے نکل کر جنسی آزادی کو خود پر لازم اور خود کو آزاد سمجھتے ہیں وہ خود کو حیوانیت کی حدود سے باہر خارج کردیتے ہیں۔اس آزادی کا نام ہم جنس پرستی ہے۔ایسے ہی فلسفے کا پرچار کرنے والے یہ لوطی کسی بھی رکاوٹ کے دائرے میں نہیں آتے اور اپنی تسکین کے لئے ، ہر رشتے کو خود کے لیے جائزاور حلال سمجھتے ہیں۔ یہ سراسر شیطانی وصف ہے۔ رحمانی وحی کے خلاف ہے یہ کام اللہ تعالیٰ نے انسان کو اشرف المخلوقات بنایا ہے مگر انسان اپنا عرفان بھول چکا ہے۔جو ذہن ہدایت سے اندھا ہوچکا ہے تو اس کی آنکھیں،کان،زبان سب بیکار ہیں وہ اپنے آپ کو جہنم کی آگ کا ایندھن بنا لیتا ہے۔ارشاد باری تعالیٰ ہے :
سورت الاعراف کی آیات کا ترجمہ:آیات 81،80
’’اور جب لوط نے اپنی قوم سے کہا کہ تم لوگ ایسی بے حیائی کرتے ہو جوتم لوگوں سے پہلے دونوں ہی جہانوں (یعنی انسانوں اور جنوں )میں کسی نے بھی کیاور وہ یہ ہے کہتم لوگ اپنی جنسی خواہش پوری کرنے کیلئے عورتوں کی بجائے مردوں کو استعمال کرتے ہو،تم لوگ تو بالکل ہی حد سے گزر...
Prisoners’ reintegration is the core concept of almost all penal systems in the world. One of the potent tools to ensure prisoners’ reintegration is effective network of religious services within prisons. This paper aims at exploring the role of religious interventions in the reintegration of prisoners with specific focus on Khyber-Pakhtunkhwa (KP) jails. Six high profile jails---Central Jail Peshawar, Haripur, Bannu, and District Jail Timergara, Mardan and Kohat of KP were purposively selected. Mixed methodology, more specifically concurrent triangulation technique, was used to collect and analyze the data. Of all 261 respondents, 250 comprised of jail inmates (under-trial and convicted adults and juveniles male prisoners) were randomly selected within the six jails of the province and interviewed through semi-structured questionnaire. The remaining 11 respondents, purposively selected and interviewed through interview-guide included jail officials of all the selected prisons (6 in numbers) and ex-prisoners (5 in numbers). It was found that a clear majority of the respondents considered religious interventions instrumental in accomplishing the goal of prisoners’ reintegration i.e, making them law abiding, productive, contributing and pro-social citizens. Many of the apparently incorrigible and potentially dangerous prisoners altered the course of their lives once they went through religious programs inside prisons. It was also discovered that in KP prisons, there was no effective network of chaplaincy services, and often these services were provided by self-motivated religious prisoners and rarely by the prison management with the collaboration of NGOs. Yet, the existing religious interventions had an extraordinary impact in terms of reforming the inmates. Hence, it is recommended that any prisons’ reform strategy must incorporate a well-designed framework of religious programs to transform criminals into an asset for society.
Motion planning for mobile robots has several important applications in industry, planetary operations, defence, and medical automation. Planning an optimal path for nonholonomic (such as car-like) mobile robots is a vital aspect of this domain. Rapidlyexploring Random Tree Star (RRT*) has gained immense popularity due to its feasibility for path planning of non-holonomic mobile robots. Moreover, it does not require explicit information of environment obstacles and also supports complex high dimensional problems very well. Though RRT* is widely used method for path planning of mobile robots; slow convergence rate, large memory requirements and sub-optimal jagged paths are its proven problems. Such jagged paths consume more fuel and time during path following process and exert robot’s controller module also. Incorporating smoothness in jagged paths by satisfying differential constraints during planning phase increases the complexity of problem. Another solution is to use post processing smoothness techniques. However, after applying smoothness, resultant smooth path deviates the robot from planned path and introduces collision again. Since, most of the robots are battery operated; therefore planned path is required to be time and energy efficient, i.e., smooth and short. This thesis presents a comprehensive overview of state of the art path planning and path smoothing approaches. Secondly, a planning algorithm RRT*-Adjustable Bounds (RRT*-AB) is proposed to resolve the aforementioned issues in RRT*. The proposed planner has introduced novel strategies for space exploration and path optimization. Robustness and efficiency of proposed algorithm is tested using different environment maps of standard robotic datasets. These environment maps are cluttered with structured and unstructured obstacles, including narrow and complex maze cases. A thorough performance comparison along with numerical and theoretical complexity analysis of the proposed approach with state of the art techniques, i.e., RRT* and RRT*-Smart is also presented. Performance analysis shows that proposed approach has significantly improved path length, execution time and memory requirements even in narrow and dense environment. It has improved convergence rate up to 93 percent. Further, a path smoothing approach is applied to make the planner generated path feasible for non-holonomic mobile robots. The proposed smoothing approach uses clamped B-spline with automatic and economical control point adjustment while maintaining collision-free route. It also improves smooth path by eliminating post smoothness collisions, if any with desired smoothness. Proposed smoothing approach generates collision-free smooth path with reduced path length and execution time. In the end, thesis concludes with future research directions.