332 research outputs found
A Review of Milk Production in Pakistan with Particular Emphasis on Small-scale Producers
The purpose of the study is to assess the economics of dairy farming in Pakistan and the prospects for improving the dairy income for small-scale producers, which currently form the backbone of the dairy industry. The document begins with a general overview of milk production in the country, followed by a detailed study of dairy farming in the province of Punjab, with a particular focus on the small-scale producers. Preliminary estimates of the margins in the formal and informal market for liquid milk are provided. The study applies a method of economic analysis developed by the International Farm Comparison Network (IFCN) which is based on the concept of typical farms. Four farm types were selected to represent 'typical farms' in the province of Punjab: one farm with one and three, and two farms with ten dairy animals respectively, one of the latter located near the city of Lahore. Each farm is described in detail with assets, production costs, profits and other economic information presented both graphically and in the text. The study concludes that a sound intervention strategy to strengthen the position of the small scale dairy farms would focus simultaneously on at least three fronts: (1) lowering farm production costs, (2) increasing productivity and (3) promoting a "higher" farmers' share in the consumer milk prices. A more competitive milk marketing system designed to cater for the needs of small-scale dairy farmers would send strong positive signals for small farmers to mobilise their own resources and develop their operations.Livestock Production/Industries,
Chameleon: A Multimodal Learning Framework Robust to Missing Modalities
Multimodal learning has demonstrated remarkable performance improvements over unimodal architectures. However, multimodal learning methods often exhibit deteriorated performances if one or more modalities are missing. This may be attributed to the commonly used multi-branch design containing modality-specific components, making such approaches reliant on the availability of a complete set of modalities. In this work, we propose a robust multimodal learning framework, Chameleon, that adapts a common-space visual learning network to align all input modalities. To enable this, we present the unification of input modalities into one format by encoding any non-visual modality into visual representations thus making it robust to missing modalities. Extensive experiments are performed on multimodal classification task using four textual-visual (Hateful Memes, UPMC Food-101, MM-IMDb, and Ferramenta) and two audio-visual (avMNIST, VoxCeleb) datasets. Chameleon not only achieves superior performance when all modalities are present at train/test time but also demonstrates notable resilience in the case of missing modalities
Dampak Psikologis Tokoh Isabella Dalam Novel Isabella Karya Maulana Muhammad Saeed Dehlvi
The purpose of this research is to describe the role and impact of converting psychological character Isabella in the novel Isabella works of Maulana Muhammad Saeed Dehlvi by: (1) aspects of the Id, (2) aspects of the Ego, (3) aspects of the Super Ego. The data of this research are the word, phrase, phrases, and sentences that lead to the converting by Isabella that author expressed in the story. The data resources is founded in the novel itself. The data is collected by using descriptive methode that priorityzing the interaction interconcepts that studied empirically. The result of this research is thebpsychological impact that experienced by Isabella in the novel Isabella caused by id impulse that dominating herself
Pyramiding of Four Broad Spectrum Bacterial Blight Resistance Genes in Cross Breeds of Basmati Rice
Pyramiding of major resistance (R) genes through marker-assisted selection (MAS) is a useful way to attain durable and broad-spectrum resistance against Xanthomonas oryzae pv. oryzae pathogen, the causal agent of bacterial blight (BB) disease in rice (Oryza sativa L.). The present study was designed to pyramid four broad spectrum BB-R genes (Xa4, xa5, xa13 and Xa21) in the background of Basmati-385, an indica rice cultivar with much sought-after qualitative and quantitative grain traits. The cultivar, however, is susceptible to BB and was therefore, crossed with IRBB59 which possesses R genes xa5, xa13 and Xa21, to attain broad and durable resistance. A total of 19 F1 plants were obtained, some of which were backcrossed with Basmati-385 and large number of BC1F1 plants were obtained. In BC1F2 generation, 31 phenotypically superior genotypes having morphological features of Basmati-385, were selected and advanced up to BC1F6 population. Sequence-tagged site (STS)-based MAS was carried out and phenotypic selection was made in each successive generation. In BC1F6 population, potentially homozygous recombinant inbred lines (RILs) from each line were selected and evaluated on the bases of STS evaluation and resistance to local Xanthomonas oryzae pv. oryzae (Xoo) isolates. Line 23 was found pyramided with all four BB-R genes i.e., Xa4, xa5, xa13 and Xa21. Five genotypes including line 8, line 16, line 21, line 27 and line 28 were identified as pyramided with three R genes, Xa4, xa5 and xa13. Pathological study showed that rice lines pyramided with quadruplet or triplet R genes showed the highest level of resistance compared to doublet or singlet R genes. Thus, line 23 with quadruplet, and lines 8, 16, 21, 27, and 28 with triplet R genes, are recommended for replicated yield and resistance trials before release as new rice varieties. Further, traditional breeding coupled with MAS, is a solid way to attain highly effective BB-resistant rice lines with no yield cost
Heterocyclic Aromatic Amines in Meat: Formation, Isolation, Risk Assessment, and Inhibitory Effect of Plant Extracts
Heterocyclic aromatic amines (HAAs) are potent carcinogenic compounds induced by the Maillard reaction in well-done cooked meats. Free amino acids, protein, creatinine, reducing sugars and nucleosides are major precursors involved in the production of polar and non-polar HAAs. The variety and yield of HAAs are linked with various factors such as meat type, heating time and temperature, cooking method and equipment, fresh meat storage time, raw material and additives, precursor’s presence, water activity, and pH level. For the isolation and identification of HAAs, advanced chromatography and spectroscopy techniques have been employed. These potent mutagens are the etiology of several types of human cancers at the ng/g level and are 100- to 2000-fold stronger than that of aflatoxins and benzopyrene, respectively. This review summarizes previous studies on the formation and types of potent mutagenic and/or carcinogenic HAAs in cooked meats. Furthermore, occurrence, risk assessment, and factors affecting HAA formation are discussed in detail. Additionally, sample extraction procedure and quantification techniques to determine these compounds are analyzed and described. Finally, an overview is presented on the promising strategy to mitigate the risk of HAAs by natural compounds and the effect of plant extracts containing antioxidants to reduce or inhibit the formation of these carcinogenic substances in cooked meats
Effect of temporal data aggregation on the perceived structure of a quantitative plant-floral visitor network
Seasonal turnover in plant and floral visitor communities changes the structure of the network of interactions they are involved in. Despite the dynamic nature of plant–visitor networks, a usual procedure is to pool year-round interaction data into a single network which may result in a biased depiction of the real structure of the interaction network. The annual temporal dynamics and the effect of merging monthly data have previously been described for qualitative data (i.e. describing the occurrence of interactions) alone, while its quantitative aspect (i.e. the actual frequency with which interactions occur) remain little explored. For this, we built a set of 12 monthly networks describing year-round plant–floral visitor interactions in a 30-hectare planted forest and its adjacent agricultural landscape at Bahauddin Zakariya University Multan, Pakistan. A total of 80 plant and 162 insect species, which engaged in 1573 unique interactions, were recorded. Most network properties (particularly the number of plants, visitors and unique interactions) varied markedly during the year. Data aggregation showed that while animal species, plant species, unique interaction, weighted nestedness, interaction diversity and robustness increased, connectance and specialization decreased. The only metric which seemed relatively unaffected by data pooling was interaction evenness. In general, quantitative metrics were relatively less affected by temporal data aggregation than qualitative ones. Avoiding data aggregation not only gives a more realistic depiction of the dynamic nature of plant–visitor community networks, but also avoids biasing network metrics and, consequently, their expected response to disturbances such as the loss of species.Fil: Sajjad, Asif. The Islamia University Of Bahawalpur; PakistánFil: Saeed, Shafqat. Muhammad Nawaz Shareef University Of Agriculture; PakistánFil: Ali, Mudssar. Muhammad Nawaz Shareef University Of Agriculture; PakistánFil: Khan, Fawad Zafar Ahmad. Muhammad Nawaz Shareef University Of Agriculture; PakistánFil: Kwon, Yong Jung. Kyungpook National University; Corea del SurFil: Devoto, Mariano. Universidad de Buenos Aires. Facultad de Agronomía. Cátedra de Botánica General; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentin
Secure and Smart Supply Chains: Design, Traceability, and Transparency
The emergence of smart and embedded devices and the adaptation of new technologies with the Internet of Things have entirely changed online shopping with a new ecommerce paradigm. However, while the accessibility of IoT services has many advantages, it also creates hazards to customerrelated data. Due to pervasive e-commerce services, anyone can intercept and be compromised, creating great security and privacy concerns. To address these security challenges and to provide lightweight authentication for all entities, we introduce a “Lightweight Mutual Authentication (LMA) Scheme for Connected Devices in IoT”. The proposed scheme uses automatic and mutual authentication for all entities, employing a distributed approach within a server-based architecture. It is lightweight because it provides a secure way of using e-services with fewer steps, and it is automotive because the entities automatically authenticate each other. The LMA is formally validated in TCL, and the experimental results show that it decreases computation cost by about 56%, increases throughput by about 33.3%, and communication cost remains the same as the average of the other three schemes. In evaluation, the results demonstrate that the presence of the LMA leads to a 20-millisecond increase in delay and a 2% decrease in PDR for 100 devices.Effat UniversityZhejiang Gongshang University, Hangzho
Crystal structure of bis(thiourea-jS)bis(triphenyl-phosphane-κP)silver(I) nitrate
Acknowledgements The authors acknowledge the provision of funds for the purchase of a diffractometer and encouragement by Dr Muhammad Akram Chaudhary, Vice Chancellor, University of Sargodha, Pakistan.Peer reviewe
The exegesis of Tabatabaei and the Hermeneutics of Hirsch: a comparative study
This thesis is a comparative study between Hermeneutics on the one hand and exegesis of the Holy Qur'an on the other. Its objective is to discover whether there are salient points of convergence between the two disciples, and whether issues germane to the Hermeneutical tradition in the West have been referred to and/or employed in Muslim works of Qur'an commentary. To this end, the works of one of the most prominent Shi'ite philosophers and exegetes. Allama Mohammad Hossein Tabataei, have been analysed and compared with the perspective and methodology of E D. Hirsch, one of the most important hermeneuticians in the Western World. Hirsch has been chosen since, in the opinion of the author, there is a considerable number of commonalities between the Hirschian approach to hermeneutics and the exegetical methodology of Tabatabaei and other Shi'ite Muslim interpreters of the Qur'an.. Hirsch, as an objectivist, along with a number of other Hermeneutical scholars, are critical of those who subscribe to philosophical Hermeneutics, such as Heideger and Gadimer. The same approach is taken in Tabatabaei's works, thus providing a strong rationale for an academic comparison of these two scholars. For this reason, this thesis attempts to study the theories of Tabatabaei and Hirsch in order to highlight the similarities and differences in their works. The central hypothesis is that while small differences in approach exist, there is much common ground, and that it is possible to use certain facets of Hirschian hermeneutics in the interpretation of the Qur'an, thus modernising some of the existing exegetical approaches employed by Shi'ite scholars.Since the aim of this thesis is to compare the interpretive works of Tabatabaei with those of Hirsch's, an introductory chapter has been dedicated to the study of the evolution of Shi'ite exegesis from the beginning to date. Tabatabaei's Al-Mizan has been chosen as the foremost work of Shi'ite exegesis in the modem period. Furthermore, a complete chapter has also been dedicated to Tabatabai's exegetical modus operandi as reflected in Al-Mizan, in order to arrive at a better understanding of his perspectives. This research arrives at the conclusion that philosophical Hermeneutics and Epistemology have opened new horizons on which we will always be dependent. Whatever interpretive theories with regards to the understanding of the text are accepted, or whatever the tendency as far as literary criticism is concerned, or whatever ideas are accepted in the arena of philosophy of human and social sciences, the discussion of the nature of understanding in general cannot be avoided. This does not mean that Hermeneutics is limited to these new theories. Rather, the opportunity always exists to introduce new interpretive theories in connection with the understanding of the text. It is indeed possible to study these discussions in detail in a separate sphere independent of the other branches of Islamic sciences and arrive at a number of stable principles in the interpretation of the text in Islamic research
Collected Papers (on various scientific topics), Volume XII
This twelfth volume of Collected Papers includes 86 papers comprising 976 pages on Neutrosophics Theory and Applications, published between 2013-2021 in the international journal and book series “Neutrosophic Sets and Systems” by the author alone or in collaboration with the following 112 co-authors (alphabetically ordered) from 21 countries: Abdel Nasser H. Zaied, Muhammad Akram, Bobin Albert, S. A. Alblowi, S. Anitha, Guennoun Asmae, Assia Bakali, Ayman M. Manie, Abdul Sami Awan, Azeddine Elhassouny, Erick González-Caballero, D. Dafik, Mithun Datta, Arindam Dey, Mamouni Dhar, Christopher Dyer, Nur Ain Ebas, Mohamed Eisa, Ahmed K. Essa, Faruk Karaaslan, João Alcione Sganderla Figueiredo, Jorge Fernando Goyes García, N. Ramila Gandhi, Sudipta Gayen, Gustavo Alvarez Gómez, Sharon Dinarza Álvarez Gómez, Haitham A. El-Ghareeb, Hamiden Abd El-Wahed Khalifa, Masooma Raza Hashmi, Ibrahim M. Hezam, German Acurio Hidalgo, Le Hoang Son, R. Jahir Hussain, S. Satham Hussain, Ali Hussein Mahmood Al-Obaidi, Hays Hatem Imran, Nabeela Ishfaq, Saeid Jafari, R. Jansi, V. Jeyanthi, M. Jeyaraman, Sripati Jha, Jun Ye, W.B. Vasantha Kandasamy, Abdullah Kargın, J. Kavikumar, Kawther Fawzi Hamza Alhasan, Huda E. Khalid, Neha Andalleb Khalid, Mohsin Khalid, Madad Khan, D. Koley, Valeri Kroumov, Manoranjan Kumar Singh, Pavan Kumar, Prem Kumar Singh, Ranjan Kumar, Malayalan Lathamaheswari, A.N. Mangayarkkarasi, Carlos Rosero Martínez, Marvelio Alfaro Matos, Mai Mohamed, Nivetha Martin, Mohamed Abdel-Basset, Mohamed Talea, K. Mohana, Muhammad Irfan Ahamad, Rana Muhammad Zulqarnain, Muhammad Riaz, Muhammad Saeed, Muhammad Saqlain, Muhammad Shabir, Muhammad Zeeshan, Anjan Mukherjee, Mumtaz Ali, Deivanayagampillai Nagarajan, Iqra Nawaz, Munazza Naz, Roan Thi Ngan, Necati Olgun, Rodolfo González Ortega, P. Pandiammal, I. Pradeepa, R. Princy, Marcos David Oviedo Rodríguez, Jesús Estupiñán Ricardo, A. Rohini, Sabu Sebastian, Abhijit Saha, Mehmet Șahin, Said Broumi, Saima Anis, A.A. Salama, Ganeshsree Selvachandran, Seyed Ahmad Edalatpanah, Sajana Shaik, Soufiane Idbrahim, S. Sowndrarajan, Mohamed Talea, Ruipu Tan, Chalapathi Tekuri, Selçuk Topal, S. P. Tiwari, Vakkas Uluçay, Maikel Leyva Vázquez, Chinnadurai Veerappan, M. Venkatachalam, Luige Vlădăreanu, Ştefan Vlăduţescu, Young Bae Jun, Wadei F. Al-Omeri, Xiao Long Xin.
- …
