Small mammals (rodents and shrews) occur worldwide and affect a variety of habitats. Some rodents are commensal both in urban and rural situations. They are among the important pest species causing losses to stored grains and other eatables especially in rural areas of developing countries. The status and the impact of small mammals in the rural human habitation of Pothwar plateau is not known. The present study was aimed at knowing the food habits, population structure and reproductive patterns of small mammals (rodents and shrews) that live in and around human dwellings of rural Pothwar. Four villages (study sites) were selected from Pothwar, and small mammal trapping was conducted seasonally between 2012 and 2014. At each site, trapping was conducted in three types of structures (village households, shops and farmhouses) for four consecutive nights. For population structure, sex ratio and age structure were measured. To study food habits, stomach contents of the trapped animal were analyzed using microhistological and DNA barcoding techniques. Three measures of abundance were calculated which were: species richness, diversity and trap success. The reproduction status of each of the specimens was noted. A total of 746 small mammals, representing eight rodent species (Musmusculus,Rattusrattus,Tateraindica,Millardiameltada, Golundaellioti,Bandicotabengalensis,Nesokiaindica,andMusbooduga) and one insectivore species (Suncusmurinus) were captured in 7680 trap nights from the three types of rural structures; the trap success being 9.7%. M. musculus was the most abundant species at the three sites, except site III, where R. rattus was the dominant species. M. musculus showed seasonal variation in its abundance with relatively more capture in winter and autumn seasons. The sex ratio was female biased in M. musculusspecies, and unbiased in R. rattusand S. murinusspecies. Overall, more adults and few juveniles were present in the xxii populations of the three commensal species. Food analysis showed that wheat (Triticumaestivum) was the major food item in the diet of two rodent species, followed by insects. In shrews, insects were the major food item, but stored grains were also consumed. The findings from both the food analysis techniques were generally in agreement, but the detection of prey type with each technique was different. Reproductive assessment of the species showed that the three commensal species bred year round,and with more reproductively active individuals were in the population as compared to inactive individuals. The present study showed that rural human dwellings support an abundant population of commensal small mammals, andthese pest species were probably affecting rural human population through the consumption of different stored grains. This study generated useful information on the distribution pattern and the biology of major indoor pest species living in rural areas, and these results of the present study will be helpful in developing effective and environment friendly management plans for the indoor pest species present in the region.
جدوں اویس دا ٹُٹا دند ہوئے حضوری وچ پسند رہن عاشق توں پاسے پاسے ہور نہیں دیندے کوئی گزند عشق توں رہندے دور دراڈے جیہڑے بندے عقل مند سوہنے ڈگدے سوہنیاں اتے کر کے ساڈا ساہ بند ہمدردی تے خدمت سیوا ایہو نیکاں دی ہے ، ھند دکھاں درداں دے جو ساتھی دنیا اتے بندے چند ڈرے حنیف خدا توں خبرے کیہڑا اوہنوں رنگ پسند
The research reveals significant insights cited by Ibn Al ‘Irāqī in his book "Toḥfah Al Taḥṣīl" on the illusions of Al-‘Alā'ī in his book "Jāmi Al Taḥṣīl". It highlights the scientific value of those illusions that Ibn Al-‘Irāqī pointed out. Several of them are related to narrators of hadith and their issues of hearing from their sheikhs. Many of those illusions are related to the chain narrators (isnad), the main text of the report (matn), or their position in the books of sunnah. There are no previous studies on this subject. I put the sequential insights I revel under headlines through which one can realize the illusions that Al-Ala'i fell in. I conclude with the perceptions that both Ibn Al-‘Iraqī and Al-‘Alā’ī have shared. I don’t mention my opinion after each insight for Ibn Al-‘Iraqī; however, my silence is an approval to what he said. When I went against him or it was important to mention any comment or information, I openly said my opinion and explained the reasons for my opposition. Some of the research findings are: Al-Ala'i ignores mentioning the narrator's gap (irsal), although Al-Mizzī mentions it in his book "Tahdhīb", or the scholars mention it before both of them. He describes the narrator having a gap (irsāl) and attributes it to Al-Mizzī. He added notes like "he didn't encounter him" and formulated expressions that weren’t mentioned by neither Al Dhahabī nor Al-Mizzī. He references a Ḥadīth to a book that it is not included in.
The exponential growth of biomedical literature makes it challenging for end users to find short and precise information quickly. Biomedical search engines, such as Pubmed and Quertle, are unable to retrieve the exact information so, a paradigm shift to question answering systems (QA) is required to find short and crisp answers to users’ questions. A biomedical question answering system usu ally comprises three components: question processing, candidate retrieval, and answer processing. In question processing, the QA system performs query for mulation and lexical answer type (LAT) prediction. Candidate retrieval stage uses a search engine and a document index to retrieve relevant documents and snippets. Finally, answer processing stage performs candidate answer generation and scoring. The biomedical terminology is ever evolving, so it is challenging for the candidate retrieval step to retrieve relevant documents requiring effective query formulation techniques. Secondly, the answers to biomedical questions are labeled with more than one semantic class in the biomedical domain requiring multi-label lexical answer type (LAT) prediction. The study at hand attempts to solve these two components in question processing stage by incorporating semantic information. We use discriminative term-selection query expansion technique with word embedding based semantic filtering during query formulation to improve the performance of biomedical document retrieval. Furthermore, we propose a LAT prediction pipeline for factoid and list type questions by introducing focus-driven semantic features which have significantly enhanced appropriate answer selection during the answer processing stage. We perform the evaluations of our proposed LAT prediction methodology using state-of-the-art Open Architecture for Ques tion Answering (OAQA) system and achieved better performance on 80% of the test batches compared with the performance of state-of-the-art QA systems. Fur thermore, we examine the proposed system performance in comparison with an online biomedical question answering system - EAGLi - and attain the best per formance for factoid and list type questions on Mean Reciprocal Rank (MRR) and F1 measure respectively.