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Agriculture and animal rearing are the most important resources of income for the farmers and indirectly have a big share in the economy of a country. Pakistan is one of the 16 regarding countries most vulnerable to environment change. Climate changes is one of the main threats affecting the sustainability of the livestock production system, which further leads to affects the other different factors associated with the animal health, production, reproduction and its adaptability. Dairy sector is the most susceptible segment to the climate change. A widely used as a parameter for the measurement of thermal stress in animals is temperature humidity index (THI). The health status of dairy animals and decreases in their milk production and reproductive performance are adversely affected by environmental stress, which results in the massive economic losses. Alteration in the temperature, humidity, rainfall and atmospheric carbon dioxide are expected via global climate change. The dairy sector is more prone to climate change and global warming where it is most oftenly affected by the temperature and humidity such as temperature humidity index (THI). The combined effect of high temperature and high humidity results in adverse effects on reproductive performance of farm animals. Among the major environmental factors affecting the livestock production system includes temperature, relative humidity (RH), solar radiation, precipitation and wind speed. The heat stress play major role in the declining of fertility in lactating dairy cows and reducing the conception rate. The management strategies such as microclimatic modification, improved housing and management intervention, usage of fogger and sprinkler with or without fan, nutritional and feeding management, feeding strategies and changing in reproductive protocol like artificial insemination protocol are to be strictly followed to improve the adverse effects of heat stress on production and reproduction in dairy animals during the summer season.

this paper, we provide a Genetic Algorithm (GA) based approach for change management in Enterprise IT systems which minimizes change delay and improves change capacity. Change management evolves the implementation of change queues on the set of applications which are running on one or more servers. To implement these changes there are some constraints involved: atomic nature of changes; when a change is implemented then it cannot be interrupted; an application has a specific downtime, which causes timing constraint; applications that share same resources such as servers have overlapping downtime which causes conflicts among changes. In such complex system, scheduling of changes becomes a difficult optimization task. GA has the ability to optimize such constraint scheduling problems. Our GA base scheduling improves throughput and minimizes change delay of existing Capacity optimal Fluid Scheduling algorithm.

Hexakis(hexyloxy)triphenylene (HAT6) discotic liquid crystal is employed as a transparent hole-transporting material (HTM) for perovskite solar cells (PSCs) and a power conversion efficiency (PCE) of 15.7% is obtained, which is the highest using HAT6 type of HTMs. Despite lower PCE than spiro-OMeTAD-based devices (20.3%), the PSCs based on HAT6 exhibit much higher ambient and thermal stability. A fused polyaromatic core with six alkyl chains leads to high hydrophobicity, and the pi-stacked molecular columns of the HAT6 shield the bis(trifluoromethane)sulfonamide lithium salt dopant migration into the perovskite absorber. The PSCs (under N-2 condition) exhibit superior stability compared to the devices employing spiro-OMeTAD, retaining nearly 92% of their initial efficiency after 1200 h operation. Under ambient conditions, HAT6-based hole-transportation layer devices retain 93% of the initial efficiency for 690 h. Under continuous thermal stress of 85 degrees C, the devices based on HAT6 retain 95% of the initial PCE. The results demonstrate the time applicability of liquid crystal for stable PSCs fabrication.