<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Ashwani Kumar</style></author><author><style face="normal" font="default" size="100%">Prikshat Kumar Angra</style></author><author><style face="normal" font="default" size="100%">Suresh Chandra Akula</style></author><author><style face="normal" font="default" size="100%">Pritpal Singh</style></author><author><style face="normal" font="default" size="100%">Anuj Sharma</style></author><author><style face="normal" font="default" size="100%">Anup Sharma</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Efficacy of Standardized Withania Somnifera as Neuro Agent in Tension-Type Headache: A Comparative Trial of Data in Transit</style></title><secondary-title><style face="normal" font="default" size="100%">Pharmacognosy Journal</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Biomarker Integrity</style></keyword><keyword><style  face="normal" font="default" size="100%">Phytochemical Standardization</style></keyword><keyword><style  face="normal" font="default" size="100%">Sustainable Research Framework</style></keyword><keyword><style  face="normal" font="default" size="100%">Tension-Type Headache</style></keyword><keyword><style  face="normal" font="default" size="100%">Withania somnifera</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2025</style></year><pub-dates><date><style  face="normal" font="default" size="100%">December 2025</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">17</style></volume><pages><style face="normal" font="default" size="100%">378-385</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p class=&quot;rtejustify&quot;&gt;&lt;strong&gt;Background:&lt;/strong&gt; To evaluate the role of withania somnifera as a neuro-psychiatric agent in the treatment of Tension-Type Headache (TTH), there is a need to substantiate the therapy using solid therapeutic evidence. Although using traditional medicine has a great potential, it is difficult to demonstrate the efficacy of a particular phytochemical composition regarding the frequency of and physiological stress markers of the chronic Tension-Type Headache in standardized research. &lt;strong&gt;Objective: &lt;/strong&gt;The purpose of the study is to assess the therapeutic efficacy of a standardized Withania somnifera extract in reducing the frequency of and physiological stress markers of the chronic Tension-Type Headache. Methods: We used the study as a double-blind and randomized controlled trial (RCT). The subjects were randomly selected to be given a standardized extract of the root of W. somnifera, that has been titrated to contain 5 percent withanolides, or a placebo dose of 60 days. The paper ensured a rigorous &quot;molecular chain of custody&quot; with a batch of withanolides linked in clinical outcome reported where the mean frequency of headaches in the treatment group reduced by 42% (p [Less than] 0.005). &lt;strong&gt;Results:&lt;/strong&gt; Clinical outcome showed that there was a significant decline in the frequency of headaches in the treatment group by 42% (p [Less than] 0.005). Moreover, the Ashwagandha group was showing a significant drop in salivary cortisol levels, which means that there was a decrease in the level of physiological stress response to chronic TTH. &lt;strong&gt;Conclusion:&lt;/strong&gt; Standardized natural products should be integrated into clinical trials as it is the most beneficial to the development of sustainable pharmacognosy. This experiment can offer an unambiguous evidence base, a clear and reproducible basis of evidence regarding the use of Ashwagandha in the current neurological practice by showing the clear efficacy in reducing the frequency of Tension-Type Headaches and biological stress markers.&lt;/p&gt;
</style></abstract><issue><style face="normal" font="default" size="100%">6s</style></issue><work-type><style face="normal" font="default" size="100%">Original Article</style></work-type><section><style face="normal" font="default" size="100%">378</style></section><auth-address><style face="normal" font="default" size="100%">&lt;p class=&quot;rtejustify&quot;&gt;&lt;strong&gt;Ashwani Kumar&lt;sup&gt;2*&lt;/sup&gt;, Prikshat Kumar Angra&lt;sup&gt;2&lt;/sup&gt;, Suresh Chandra Akula&lt;sup&gt;1&lt;/sup&gt;, Pritpal Singh&lt;sup&gt;1&lt;/sup&gt;, Anuj Sharma&lt;sup&gt;2&lt;/sup&gt;, Anup Sharma&lt;sup&gt;1&lt;/sup&gt; &lt;/strong&gt;&lt;/p&gt;

&lt;p class=&quot;rtejustify&quot;&gt;&lt;sup&gt;1&lt;/sup&gt;Mittal School of Business, Lovely Professional University, Phagwara, INDIA.&lt;/p&gt;

&lt;p class=&quot;rtejustify&quot;&gt;&lt;sup&gt;2&lt;/sup&gt;School of Computer Applications, Lovely Professional University, Phagwara, INDIA.&lt;/p&gt;
</style></auth-address></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Suresh Chandra Akula</style></author><author><style face="normal" font="default" size="100%">Pritpal Singh</style></author><author><style face="normal" font="default" size="100%">Prikshat Kumar Angra</style></author><author><style face="normal" font="default" size="100%">Gagandeep Singh Cheema</style></author><author><style face="normal" font="default" size="100%">Anup Sharma</style></author><author><style face="normal" font="default" size="100%">Mohd Farhan</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">An Evaluation of the Effectiveness of Pharmacognosy Research and a Pharmaceutical Resource Management in Hospitals</style></title><secondary-title><style face="normal" font="default" size="100%">Pharmacognosy Journal</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Data envelopment analysis (DEA)</style></keyword><keyword><style  face="normal" font="default" size="100%">Efficiency</style></keyword><keyword><style  face="normal" font="default" size="100%">Hospitals</style></keyword><keyword><style  face="normal" font="default" size="100%">India</style></keyword><keyword><style  face="normal" font="default" size="100%">Pharmacognosy research</style></keyword><keyword><style  face="normal" font="default" size="100%">Pharmacy</style></keyword><keyword><style  face="normal" font="default" size="100%">SBM model</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2023</style></year><pub-dates><date><style  face="normal" font="default" size="100%">December 2023</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">15</style></volume><pages><style face="normal" font="default" size="100%">1224-1229</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p class=&quot;rtejustify&quot;&gt;&lt;strong&gt;Objective:&lt;/strong&gt; This research paper aims to evaluate the relative efficacy of pharmacognosy research on the top 40 tertiary hospitals and its pharmacy in India according to Newsweek's 2021 ranking. &lt;strong&gt;Purpose:&lt;/strong&gt; India's pharmaceutical market is now estimated to be worth $50 billion. India is a significant pharmaceutical exporter, reaching more than 200 nations with its exports. This study will help to identify whether the pharma industry is working efficiently in selected Indian hospitals or not. Thus, to create a bench marking for the hospital pharmacies in India. &lt;strong&gt;Design/methodology/approach:&lt;/strong&gt; Data for the study came from public and private hospitals' official websites, financial records, and government notifications. Cross- sectional data analyses were done using a Slack-Based model and data envelopment analysis (DEA). STATA was the software used to scrutinize the results effectively. &lt;strong&gt;Results: &lt;/strong&gt;Thirteen hospital pharmacies out of a total of 40 are judged to be relatively technically efficient overall, according to the research. The findings of the slack analysis demonstrate that government hospitals and pharmacies are better able to handle slack and effectively manage input and output. &lt;strong&gt;Conclusion: &lt;/strong&gt;The researchers also set upped a benchmarking hospital both for private and government healthcare settings for pharmacognosy research. Thus, it can be utilized for the betterment of the pharmacies.&amp;nbsp;&lt;/p&gt;
</style></abstract><issue><style face="normal" font="default" size="100%">6s</style></issue><work-type><style face="normal" font="default" size="100%">Research Article</style></work-type><section><style face="normal" font="default" size="100%">1224</style></section><auth-address><style face="normal" font="default" size="100%">&lt;p&gt;&lt;strong&gt;Suresh Chandra Akula&lt;sup&gt;1,*&lt;/sup&gt;, Pritpal Singh&lt;sup&gt;1&lt;/sup&gt; , Prikshat Kumar Angra&lt;sup&gt;2&lt;/sup&gt; , Gagandeep Singh Cheema&lt;sup&gt;1&lt;/sup&gt; , Anup Sharma&lt;sup&gt;1&lt;/sup&gt; , Mohd Farhan&lt;sup&gt;1&lt;/sup&gt;&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;&lt;sup&gt;1&lt;/sup&gt;Mittal School of Business, Lovely Professional University, Phagwara, Punjab 144001, INDIA.&lt;/p&gt;

&lt;p&gt;&lt;sup&gt;2&lt;/sup&gt;School of computer applications, Lovely Professional University, Phagwara, Punjab 144001, INDIA.&lt;/p&gt;
</style></auth-address></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Suresh Chandra Akula</style></author><author><style face="normal" font="default" size="100%">Pritpal Singh</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Modeling relation between hospital efficiency and customer satisfaction of tertiary hospitals: A case of data envelopment analysis</style></title><secondary-title><style face="normal" font="default" size="100%">Pharmacognosy Journal</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Association</style></keyword><keyword><style  face="normal" font="default" size="100%">Customer satisfaction</style></keyword><keyword><style  face="normal" font="default" size="100%">Hospital efficiency</style></keyword><keyword><style  face="normal" font="default" size="100%">Negative moderator</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2021</style></year><pub-dates><date><style  face="normal" font="default" size="100%">November 2021</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">13</style></volume><pages><style face="normal" font="default" size="100%">1527-1532</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p class=&quot;rtejustify&quot;&gt;In the present circumstance, it has turned out to be difficult for hospitals to guarantee increasingly productive methods for administrations. Under the current conditions, it is fundamental to discover the fitting asset blend and its use. So also, it is important to distinguish the sources of relative cost wastefulness – specialized and allocated both. The center point of this study is on surveying the hospitals in efficiency terms, for example, the perfect measure of inputs to deliver a given degree of output. The other inspiration driving this investigation has been to see how to address an issue of benchmarking in hospitals. Data envelopment analysis utilizes an amazing procedure of linear programming to help in doing this. The research of the study incorporates two different aspects one is to evaluate efficiency of hospitals considered for study and another is find satisfaction level of patients from these hospitals to find association among both these dimensions, Moreover, this study gives the proof that medical hospital size has a critical negative impact on efficiency of hospital i.e. Present research indicates that smaller hospitals have a higher level of efficiency than larger and medium-size hospitals, smaller size hospitals average efficiency is .80. The average efficiency of medium size hospitals is .75 and the large hospital is .71. Results of research also explains that efficiency is considered to be negative moderator between relation of number of specialized doctors and patient satisfaction. Results of study suggested that higher level of efficiency level of hospitals lessen the positive effect of specialized doctors on patient satisfaction.&lt;/p&gt;
</style></abstract><issue><style face="normal" font="default" size="100%">6</style></issue><work-type><style face="normal" font="default" size="100%">Research Article</style></work-type><section><style face="normal" font="default" size="100%">1527</style></section><auth-address><style face="normal" font="default" size="100%">&lt;p class=&quot;rtejustify&quot;&gt;&lt;strong&gt;Suresh Chandra Akula*, Pritpal Singh&lt;/strong&gt;&lt;/p&gt;

&lt;p class=&quot;rtejustify&quot;&gt;&lt;sup&gt;1&lt;/sup&gt;Mittal school of business, Lovely Professional University, G.T. Road, Phagwara, Punjab 144411, INDIA.&lt;/p&gt;
</style></auth-address></record></records></xml>