Miracle-dz/UniFAR-FTUs huggingface dataset:
The Effect of L-Glutamine and Broiler Albumin Supplementation through In Ovo Feeding Technique to Hatchability, Hatching Weight and Native Chicken Performance

: The aim of the study is to identify hatching performance and native chicken hatching result resulted from L-glutamin in ovo feeding and broiler albumine. In Ovo Feeding (IOF) is the additional nutrient supplementation from the outside to the inside of the amnion of the chick embryo prior to hatching. The eggs were collected from native hens at the age of 40-60 weeks old. There are as many as 450 eggs used in this study. The study applied Randomized Block Design (RBD) with 5 treatments and 3 groups, P0: no injection (negative control), P1: injection of physiological NaCL (positive control), P2: injection with 1,5 % L-Glutamin in physiological NaCl solution, P3: injection of broiler albumin mixed with physiological NaCl solution, P4: injection of 0,75 % broiler albumin mixed with 0,75% glutamin. In this study, the observed parameters are divided into two stages. For the first stage, the observed parameters are hatchability, hatching weight, and hatching weight ratio. For the second stage the observed parameters included feed consumption, weight gain, feed conversion and growth. The result of the study showed that the treatment of hatchability, hatching weight, hatching weight ration and native chicken performance of the in ovo feeding did not significantly affect on the treatment final result. On the contrary, the apparent trend showed that the result was better compared to the control treatment. Broiler albumin, hatchability, hatching weight, performance. hatching of native in ovo
Note 1: A typology of demonstration farming

As part of the PLAID project, we explored the current level of diversity in European agricultural demonstration by developing a typology of demonstration farm types. This Information note outlines an analysis conducted from a database of 1177 farmers and organisations conducting demonstration events across Europe. The analysis used two key dimensions: “sustainability” and “institutional setting” to conduct a cluster analysis of the database. This process divided farmers into seven demonstration types. place a practical object lesson before the farm masses, illustrating the best and most profitable methods of producing the standard farm crops, and to secure such active participation in the demonstrations as to prove that the farmers can make a much larger average annual crop and secure a greater return for their toil. ”
Combination of Methotrexate and Leflunomide Is Efficient and Safe for 60 Patients with Rheumatoid Arthritis

The present work is aimed at exploring the clinical efficacy and safety of methotrexate (MTX) and leflunomide (LEF) combination therapy for rheumatoid arthritis. From June 2019 to June 2021, a total of 120 individuals with rheumatoid arthritis received a diagnosis. Sixty patients each were randomly assigned to the control and observation groups. The observation group received MTX and LEF combo medication while the control group only received MTX treatment. Clinical efficacy, complication incidence, and the alleviation of inflammatory markers, joint pain, and clinical symptoms were compared between the 2 groups. Posttreatment, the observation group had overall response rate of 96.66%, while the control group had 86.67%, with significant differences. Compared with pretreatment, both control and observation group patients showed decreasing trends of IL-1 levels and increasing trends of IL-10 levels posttreatment, with significant differences (P < 0.05). Compared with the control group, patients in the observation group had lower IL-1 and TNF-α levels with significant differences (P < 0.05) and higher levels of IL-10 with significant difference (P < 0.05). In both groups, the pain score and the number of painful joints were much lower than they were prior to treatment. Following treatment, the observation group displayed significantly lower levels of erythrocyte sedimentation rate, rheumatoid factor, and C-reactive protein than the control group (P < 0.05). Clinical measures in the observation group were all lower than those in the control group with statistically significant differences (P < 0.05). Moreover, the incidence rate of adverse reactions showed no significant difference between these 2 groups (P > 0.05). In conclusion, the combination therapy of MTX and LEF is efficacious for rheumatic arthritis.
Surveillance of Aedes aegypti Using a Reduction Sampling Size for Its Application during the COVID-19 Pandemic in Havana, Cuba

al. Surveillance of Aedes aegypti Using a Reduction Sampling Size for Its Application during the COVID-19 Pandemic in Havana, Cuba. J Vet Animal 2022; 5(1): Abstract Background: Pan American Health Organization (PAHO) indicated guidelines on the prevention and control of dengue during the COVID-19 pandemic, reinforcing the surveillance and control of its vectors: Aedes aegypti and Aedes albopictus . Objective: To evaluate the larval indices and others entomological indicators in high risk blocks in Havana in order to rationalize the efforts in entomological surveillance, speed. Methods: The study was carried out in four municipalities (Playa, Plaza de la Revolución, Habana Vieja y Arroyo Naranjo) belonging to Havana province in Cuba. In each municipality, the surveillance took one week, visiting 33% of the total number of houses in each neighborhood. The surveillance was conducted from March 5 till April 2, 2019. Results: A total of 6 647 containers were inspected from 1599 (Houses total sampled in Plaza de la Revolución municipality was 399) houses in the four study areas of which only 500 (7.5 %) were positive for Ae. aegypti immature stages. Aedes infestations levels was high with a general Breteau Index (BI) of 31.3 a Container Index (CI) of 7.5 and a House Index (HI) of 18.3 respectively. All municipalities showed mainly presence inside the houses with preference in living room and kitchen. Conclusions: This type of sampling in the neighborhoods with high risk for Ae. Aegypti in Cuba would help the sustainability of the program at a time of COVID-19 when human, material and financial resources are limited since it would focus interventions more towards prevention and control in the event of dengue transmission.
A Comparative study of TOA in diluents for Reactive Extraction of Succinic Acid

Succinic acid recovery from the aqueous phase is an intrinsic downstreaming process because of its numerous applications in the pharmaceutical and food industries. Distillation, sorption, adsorption, membrane, dialysis, and electrodialysis these are the conventional methods used for acid separation. Apart from these methods, a novel technique developed called reactive extraction that delivers good selectivity and yield. Separation of succinic acid from its aqueous phase was investigated in a recent work using a tertiary amine, such as tri-n-octyl amine (TOA), with different diluents. The study based on the acid concentration ranged from 0.14 to 0.5 mol/kg, while the TOA concentration ranged from 0.11 to 0.57mol/kg to study the parameters like the distribution coefficient, loading ratio, equilibrium complexation constant, and degree of extraction. The physical extraction of succinic acid by using these three diluents was done. As compare to physical extraction, reactive extraction gives better separation efficiency. The comparison of results by using different diluents in TOA was studied. The best result was obtained at the initial concentration of acid 0.26 mol/kg and initial concentration of TOA 0.57 mol/kg in the benzyl alcohol that gives 99.44 % extraction efficiency. The order of extraction power for the diluents was found to be benzyl alcohol > 2-octanol > 1-decanol.
t i l Susceptibility Evaluation of Different Legume Seed Genotypes against Callosobruchus maculatus (F.) (Coleoptera: Bruchidae) under Laboratory Conditions

A study was conducted to assess the susceptibility of three different legumes types namely cow pea (host variety), mung bean (BRM-028, BRM-102 and BRM-106) and chickpea (BWP-white, Sadiq-2021 and Bittle-21) against the seed weevil Callosobruchus maculatus (F.) (Coleoptera: Bruchidae) under laboratory conditions. Biology of beetles was assessed in the form of growth index (GI) which showed maximum GI values in cowpea and mung bean varieties and least in chick pea genotypes and because of this cowpea and mung bean genotypes were classified in susceptible category and chickpea varieties were classified in resistant category. Percent weight loss by C. maculatus was maximum in cow pea and mung bean genotypes and least percent weight loss was recorded in chickpea genotypes. Maximum eggs were laid on mung bean varieties, one chickpea genotype (Bitttle-16) followed by in cowpea in descending order and least eggs were laid in two chickpea varieties (Sadiq-21 and BWP-white). Study of factors which could affect egg output of C. maculatus included seed coat color, texture and see size and among which beetles laid more eggs due to dark color of seeds while there was no strong effect of seed texture and seed size on egg output by C. maculatus . Study of other factors included seed hardness which was maximum in chickpea genotypes followed by cowpea in descending order and least seed hardness was in mung bean genotypes. Correlation of factors with growth index, percent weight loss and mature insect exit hole showed seed hardness was negatively correlated with growth index, percent weight loss and mature insect exit hole area. Percent weight loss was positively correlated with growth index and exit hole area of beetles. Study of factors affecting egg output, growth index, percent weight loss and overall susceptibility in different legume seed types indicate the importance of seed coat color and seed hardness which should be given due care in legume seeds breeding programs for resistance development in new varieties against pulse beetles.
THE RELATIONSHIP BETWEEN POLITICAL STABILITY, DEMOCRACY AND LONG RUN GROWTH: THE CASE OF SUB SAHARAN AFRICA

The aim of the study is to analyze the relationship between political stability, democracy and long run growth in Sub Saharan Africa. Panel vector auto regression model is employed to overcome the en-dogenenity problem due to the reverse causality. The analysis covers 44 countries in Sub Saharan Africa over the period of 1996-2017. Compared to other regions, Sub Saharan Africa has the slowest long run growth rate as of 2017. Political stability in the region is still way below compared to developing and developed countries of other regions. Sub Saharan Africa is second worst region with respect to democracy as of 2008 and the region has experienced democratic backsliding after a peak in 2005. According to Granger causality test, bidirectional casual relationships are found between political stability, democracy and growth. It is also found that one standard deviation shocks given to political stability and democracy have positive significant impacts on growth.
Investigating Privacy and Security of Cloud-Connected Autonomous Vehicles

Autonomous cars are intelligent systems that can do Physical tasks without human interaction and are used in Industrial environments, transport, and the military, one of most powerful feature of this technology is that possess intelligent agents that can learn from their environment, furthermore, they have several sensors with connectivity between them. Nowadays most of the car manufacturer use autonomous features like lane-keeping, Adaptive Cruise Control (ACC), advance driver assistance system and automatic parking system resulting in a rapid increase in research of autonomous vehicles e.g. in 2004 and 2005 DARPA challenges for vehicles to autonomously navigate via desert terrain, moreover, the DARPA challenge in 2007 developed and tested cars that independently explored via a mock urban condition amid traffic. Vehicles have huge potential in improving road safety, providing convenience; reducing emissions and congestion by communicating with another vehicle within the same network furthermore, in case of emergency they can also notify other vehicles of the incident. Much architecture for communication between vehicles is centralized, typically using cloud servers. The security and trust of that communication are paramount. Therefore, this research aimed to propose a novel method that can insure data security in the cloud by encrypting and fragmenting data to increase the uncertainty for an attacker so as a result, it becomes difficult for hackers to compromise the confidentiality and integrity of data residing in the cloud. This research presents experimental results in terms of time, CPU utilization and size which allowed to determine the most effective method for securing data in the cloud and hence making it difficult for a hacker to reconstruct data. Splitting and encrypting different size of video and text file or encrypting the whole file shows that less time, CPU usage and size is taken in splitting and encrypting 5KB rather than other sizes or encrypting the whole file, so it saves CPU utilization, time and storage, hence, it is the ideal size as it minimizes the CPU resources and memory as compared to different size fragments. The privacy of data is at a higher level preventing a hacker from accessing the data as it is shared in multiple clouds, furthermore, the proposed technique also proposed a mechanism which ensures the data integrity and confidentiality by encrypting the data header hence making it almost impossible for hacker to reconstruct the original data even if it been hacked by man in middle attack. Finally, the experimental results shows that this method can overcome the issue of overhead in transmission and as a result, makes it an efficient and effective mechanism to encounter the data security problem.
An Urban Planning Framework for Local Renewable Energy Integration

We introduce Infomorphism, an urban planning framework that takes the main characteristics of Zero Energy Buildings (ZEBs) as the principal drivers for the simul-taneous planning of a city’s collective urban form and energy infrastructure. This paper outlines the three main computational models of the infomorphism framework: 1) a parametric model for the development of an energy-based urban planning envelope, 2) a quantitative model to predict renewable energy supply and building demand, and 3) an optimization model to develop local energy exchange networks. Manhattan is used as a case study for the implementation and assessment of the framework.
COSMOLOGICAL X-RAY SCATTERING FROM INTERGALACTIC DUST

High-resolution X-ray imaging offers a unique opportunity to probe the nature of dust in the z ≲ 2 universe. Dust grains 0.1–1 μm in size will scatter soft X-rays, producing a diffuse “halo” image around an X-ray point source, with a brightness of ∼ few percent confined to an arcminute-sized region. We derive the formulae for scattering in a cosmological context and calculate the surface brightness of the scattering halo due to (1) an intergalactic medium (IGM) uniformly enriched (Ωd ∼ 10−5) by a power-law distribution of grain sizes and (2) a damped Lyα type (NH ∼ 1021 cm−2) dust screen at cosmological distances. The morphology of the surface brightness profile can distinguish between the two scenarios above, place size constraints on dusty clumps, and constrain the homogeneity of the IGM. Thus, X-ray scattering can gauge the relative contribution of the first stars, dwarf galaxies, and galactic outflows to the cosmic metallicity budget and cosmic history of dust. We show that, because the amount of intergalactic scattering is overestimated for photon energies <1 keV, the non-detection of an X-ray scattering halo by Petric et al. is consistent with “gray” intergalactic dust grains (Ωd ∼ 10−5) when the data are restricted to the 1–8 keV band. We also calculate the systematic offset in magnitude, δm ∼ 0.01, for such a population of graphite grains, which would affect the type of supernova survey ideal for measuring dark energy parameters within ∼1% precision.
EUROPEAN ACADEMIC RESEARCH, VOL

The current study was conducted to measure the radio sensitivity of cucurbits Fruit Fly Dacus ciliatus (Loew) adults and induce sexual sterility by irradiated them at age of 1-2 days at radiation doses of 10 , 30 , 50, 70 , 80, 90 , 100 and 120 Gray in addition to the control treatment. Results showed a significant reduction in the females fecundity with an increase of radiation doses at all mating types, particular when females are irradiated. There was slight effect for gamma ray in average adult longevity of both males and females. The results, also indicated to significant reduction in the eggs hatching percentage in all mating types , with acute reduction when female was irradiated . The possibility of induction of complete Bassim Sh. Hamad, George S. B. Yousif, Hussain F. Alrubeai, Bader A. AL-AzzawiRadio sensitivity and Sexual Sterility Induction in Cucurbit Fruit Fly Dacusciliatus (Loew): adult Irradiation EUROPEAN ACADEMIC RESEARCH Vol. V, Issue 5 / August 2017 2439 sexual sterility in males and females was occurred when they exposed to doses of 120 and 80 Gray respectively . According to these results it can be concluded that there is ability to full sexual sterility in males of cucurbits fruit fly D. ciliatus after exposure to gamma rays at a dose of 120 Gy and thus their suitability for the program of release sterile insects after confirming the level of competitive mating and other quality specifications.
Blockchain Technology to Improve Health Care in the Republic of China

: Blockchain technology is an advanced technology that was initially used in the field of cryptocurrency and now it is being widely implemented in various industries and fields. In this paper, the implementation potential of blockchain in the healthcare service is out-lined, a predictive model is built, and a blockchain-based framework that focuses on the electronic medical record (EMR) is built. An extensive study of journal papers on the blockchain framework is conducted in order to gain a basic understanding of blockchain technology. The idea of the EMR framework was developed with a block-chain-based application and database system. Patients, hospital providers, health care authorities, financial authorities and certification authority are among the five groups of participants There are four proposed algorithms based on the procedures for viewing and writing electronic medical records, as well as two additional procedures aimed at improving the security of the blockchain framework. Finally, the generated predictive model is implemented along with the proposed application, which connects all groups of participants to the blockchain-based EMR system.
Inﬂuence of Using Various Levels of Protein Concentrate in Rations of Ayrshire Dairy Cows on Rumen Microbiome, Reproductive Traits and Economic Efﬁciency

Simple Summary: Numerous studies in animal nutrition science have demonstrated a close connection between the chemical composition and nutritional value of cow diets, the number of rumen bacterial communities and animal productive and reproductive performance. Thus, the microorganisms of cow rumen play a primary role in the processes of digestion; meanwhile, it is necessary to highlight that their functional signiﬁcance is much wider. The aim of this study was to investigate the outcomes of the inclusion of different levels of protein concentrate in rations of Ayrshire dairy cows in relation to the rumen microbiome, reproductive traits and economic value. Our manuscript presents molecular biological studies to establish the quantitative and speciﬁc composition of the microorganisms of the rumen. T-RFLP analysis was performed to determine the percentage of the components of the bacterial community. The results showed that the supplementation of “Agro-Matic” caused no deviations from the normal standards of cellulolytic, amylolytic, transit and pathogenic bacteria, no impact on reproductive traits and signiﬁcantly improved the proﬁtability of the milk production process. These ﬁndings provide a scientiﬁc addition for a greater understanding of the rumen microbiome of dairy cows when supplemented by different levels of protein concentrate in their rations. Abstract: Animal feeding research has revealed a close relationship between the chemical composition and nutritional value of cow rations, the number of rumen bacterial communities and animal productivity. Our present research aimed to investigate the outcome of inclusion of different levels of protein concentrate in rations of Ayrshire dairy cows in relation to the rumen microbiome, reproductive traits and economic value. Forty-ﬁve Ayrshire cows were divided into three groups (15 in the 0 AM group (0.18 and 8.90 vs. 0.04 and 4.24), and the differences were signiﬁcant ( p < 0.05). The insemination index and the duration of the days open period decreased in the 2 AM group, while the differences were p > 0.05. The proﬁtability of milk production increased by 2.76% and 6.28% in both supplemented groups, and the differences compared to the 0 AM group were signiﬁcant. We conclude that the supplementation of Agro-Matic caused no deviations from the normal standards of cellulolytic, amylolytic, transit and pathogenic bacteria, no impact on reproductive functions and signiﬁcantly improved the proﬁtability of the milk production process of Ayrshire dairy cows.
ISOLATED WORD SPEECH RECOGNITION SYSTEM USING HTK

This paper proposes a system of Isolated Word Speech Recognition for Tamil language using Hidden Markov Model (HMM) approach. The most powerful Mel Frequency Cepstral Coefficients (MFCC) feature extraction technique is used to train the acoustic features of the speech database. The triphone based acoustic model is chosen to recognize the given Tamil digits. This system is a small vocabulary system where it is trained to identify the Tamil digits from one to ten. The result analysis of HTK (HMM Tool Kit) shows 90% of recognition accuracy at the word level.
Indexing Structures for (cid:29)ash based Solid State Drives

Performance computing is fast becoming the mainstay of computer science. Despite massive increase in the processing power, performance bottlenecks exist due to much lesser throughput on the storage side. It is a matter of time before conventional magnetic disks make way for a faster technology. Flash memory devices are becoming ubiquitous and indispensable storage devices, partly replacing the traditional hard-disks. To store data e(cid:30)ciently on these devices, it is necessary to adapt the existing (cid:28)le systems and indexing structures to work well on (cid:29)ash memory, and a signi(cid:28)cant amount of research in this (cid:28)eld has been devoted to designing such structures. But it is hard to do a provable comparison between these structures owing to the lack of any analytical memory models for (cid:29)ash memory since the existing external memory models fail to capture the full potential of (cid:29)ash-based storage devices. In this paper we study various index structures that have been shown to perform well on SSDs, and analyze them in the recently proposed (cid:29)ash memory models. This is the (cid:28)rst such work to compare the provable performance of various (cid:29)ash based data structures.
A Survey of the Research on Big-Scholarly-Data Based Scientific Collaborator Recommendation

: At present, collaboration is a very universal phenomenon in the field of scientific research. Finding the right collaborators is essential to the research work for the majority of scholars. However, with the growth of academic big data, it’s becoming increasingly difficult to find the appropriate collaborators. In recent years, scientific collaborator recommendation based on big scholarly data has been extensively studied. This paper makes a full survey on the algorithms for scientific collaborator recommendation, and the data sources commonly used in the experiments in detail. Some detailed discussions on research challenges and future directions are also provided at the end of this survey.