سیالکوٹ کی تہذیب قدامت کے لحاظ سے پانچ ہزار سال سے بھی پہلے کے آثار ظاہر کرتی ہے۔راجہ شل نے اس تہذیب کو پروان چڑھانے میں اہم کردار ادا کیا۔اس شہر کی تہذیبی روایات اور علمی آثار " مہابھارت" میں بدرجہ اُتم موجود ہیں۔سیالکوٹ کی مٹی بڑی زرخیز اور مردم خیز ہے۔سرزمین سیالکوٹ نے علم وادب وفنون لطیفہ کے میدانوں میں گراں قدر خدمات سرانجام دی ہیں۔سیالکوٹ کی علمی وادبی اہمیت مسلمہ ہے۔ہر دور میں خواہ وہ ہندو راج ہو ، مغلیہ راج ہویا انگریز راج سیالکوٹ نے ہردور میں علمی وادبی مرکز کے حوالے سے اپنی شناخت قائم رکھی ہے۔یہاں سے بہت سی نامور روحانی اور علمی وادبی شخصیات نے جنم لیا ہےاور بعض نے یہاں کی روحانی اور علمی وادبی شخصیات سے فیض حاصل کیا ہے۔٧٠٠ قبل مسیح سے٦٠٠ قبل مسیح تک یہ اتنا عظیم تعلیمی مرکز تھا۔کہ بنارس کے شہزادے حصول علم کے لیے یہاں آتے تھے۔
اکیسویں صدی عیسویں میں بھی شہرِ اقبال اپنی تہذیبی و ادبی روایات کی بازیافت کے لیے خاصا سرگرم عمل ہے۔ملا عبدالحکیم سیالکوٹی ،مولانا فیروزالدین،اقبال ،فیض ،مولانا ظفر علی خاں، ہاشم شاہ،حضرت رائج سیالکوٹی، دلشاد ،منشی میراں بخش جلوہ،محمد الدین فوق ،اثر صہبائی ،سلیم واحد سلیم ،بدری ناتھ سدرشن،جوگندر پال ،غلام الثقلین نقوی ،رجندر سنگھ بیدی،عبدالحمید عرفانی،سرمد صہبائی،خالد نظیر صوفی، ڈاکٹر جاوید اقبال،ساغر جعفری،مولوی ابراہیم میر،آسی ضیائی رامپوری،طفیل ہوشیارپوری،اے ڈی اظہر،حفیظ صدیقی،صابر ظفر،اصغر سودائی اور جابر علی سید دنیائے شعروادب کے اہم ستارے ہیں۔جن کا تعلق سیالکوٹ کی دھرتی کے ساتھ تادمِ حیات رہا ۔موجودہ دور میں بھی خطہ سیالکوٹ علمی وادبی میدان میں مضافاتی دائرے سے نکل کر قومی وبین الاقوامی ادبی دھارےمیں شامل ہونے کے لیے پرتول رہا ہے۔پنجاب لٹریری فورم سیالکوٹ اسی سلسلے میں اہم کردار ادا کررہا ہے۔اس ادبی تحریک کا ثمر اس خطے کی ادبی سرگرمیوں کی نشاة ثانیہ کی...
Introduction: Adaptive expertise is the ability of individuals to create innovative solutions when they come across novel problems or workplace challenges. Clinicians are often adept at handling routine clinical procedures but lack confidence and a proper strategy when previously un-encountered situations arise. Lots of research has been conducted on basic concepts and development of adaptive expertise however major chunk of literature belongs to non- medical fields. Little is studied about assessment of adaptive expertise in medical professionals and postgraduate residents. Objective: To measure adaptive expertise (AE) of radiology residents and to assess any association between the AE of postgraduate radiology residents (PGR) and their years of training. Methods: This multicenter correlational study involved 181 radiology residents from nine major teaching hospital of Lahore, Pakistan from May to October 2019. Katerina Bohle Carbonell Adaptive Expertise Inventory was used as a data collection tool. The questionnaire contained a total of eleven items encompassing two dimensions of AE: domain-specific and innovative skills. Total scores representing AE of PGRs were measured. AE scores and years of training were correlated using Spearman rho correlation. One-way ANOVA was conducted to further evaluate the association between AE and years of postgraduate training. Results: Out of 181 residents there were 78 (43.1%) males and 103 (56.9%) females. Most of them, 97 (53.6%) were enrolled in four years fellowship (FCPS) program and 62 (34.3%) were in the first year of their residency. Total AE scores of all radiology residents ranged from 33 to 54. AE scores and years of residency were positively correlated (rs= 0.4, p < 0.01). One-way ANOVA and Post hoc comparisons using Tukey HSD test further revealed significant pairwise differences between mean scores of residents’ groups (p = < 0.05) rejecting the null hypothesis. Conclusion: Overall, this study concludes that residents acquire adaptive expertise perpetually with progression in their training. KEYWORDS: Adaptive Expertise (AE), Radiology, Postgraduate Residents (PGRs)
Groundwater is imperative for global food production, lifeline for all types of agriculture, cultures associated with it and inhabitants around the globe. In Pakistan, irrigation water supplies for 40-60% area are met through groundwater resources depending upon rainfall variability. The 70 percent farming community of the province Punjab, Pakistan fulfill their crop water demands either directly or indirectly from groundwater. Resultantly, the aquifer has depleted and deterioration in groundwater quality is observed due to upcoming of saline water. A detailed investigation was carried out to address the aforementioned issues in Lower Chenab Canal (LCC-E) command area of Punjab, Pakistan. The field data from 2005-2013 were utilized for the analysis of prevailing groundwater levels and GIS mapping was used to study the groundwater quality patterns. The field data from 2005-2013 of water levels and quality patterns were analyzed and mapped by employing GIS. A three dimensional groundwater flow model employing USGS developed code MODFLOW-2005 was used for existing and future predictions of groundwater levels up to 2033, and MT3DMS transport model was utilized for groundwater quality assessment. The model was calibrated manually for the steady state initially; the groundwater levels for the year 2006 were used as the initial conditions and hydraulic conductivity values were adjusted to have a close agreement between observed and simulated heads. The Parameter estimation tool acronym as ‘PEST’ was utilized for transient state calibration of the model. The transient state calibration was done for the years-2006-2011. The calibrated model was validated with a different data set for the years 2011-2013. To predict the model results and to simulate the future response of the aquifer under changed recharge and pumping, a number of future scenarios were developed. The hydrodynamics of the groundwater flow were studied for two decades i.e.up to year 2033.The results of the future predictions of groundwater levels under Scenario-I, which represent the business as usual conditions, showed that there was a net gain of water levels in upper parts of the study area and lowering of water levels in central and lower parts. A maximum of 5.17m decline and 5m increase in water levels was anticipated in LCC. The percentage of good quality area decreased slightly with 1% change from 2013, whereas 2.5% decrease in area under marginal category was observed while area under unsuitable quality groundwater was expected to be increased from 24.8% to 28.6% in LCC. The predicted results of Scenario-II with increased pumping following historical trends showed an overall decline in the complete LCC. Maximum drawdown is anticipated in Bhagat Sub Division which shows up to 15.68m decline. The area under good quality water will also be significantly dropped from 49% to only 7%. The area under marginal category will have a boom from 41% to 55%, whereas the area under unsuitable category will also be increased manifold from 10% to 38%. The piezometric water levels for the spatially adjusted recharge and discharge patterns under the future scenario-III revealed an overall decline in water levels in the upper four sub divisions, whereas an overall recovery in the water levels was observed in lower five subdivisions of the study area where irrigation recharge was allowed to increase. The area under good quality water which was pre -dominantly in the upper subdivisions have shrinked significantly from 49% to 19%, area under marginal quality groundwater has increased manifold from 41% to 57%. Similar kind of trends were observed in unsuitable category groundwater which has increased enormously from 10% to 24%. The simulation under H3B2 future climate change scenario showed some interesting results. The declining water level trends in all the subdivisions were observed. Tarkhani Sub Division is expected to have maximum dropdown of 4.77m. Minimum drop down in water level was anticipated for Sultanpur subdivision i.e. 0.51m. The predicted results for water quality status shown degraded water quality status in the entire LCC. Only 19.7% area would sustain its status of having good quality of water, 49.3% area will have marginal quality of groundwater whereas 31% area would be converted to unsuitable quality of groundwater in the LCC.