bluuebunny/crossref_metadata_2025 huggingface dataset:
Neuroprotective Strategies for Neurological Disorders by Natural Products: An update
Authors: Rehman Muneeb U. , Wali Adil Farooq , Ahmad Anas , Shakeel Sheeba , Rasool Saiema , Ali Rayeesa , Rashid Shazada Mudasir , Madkhali Hassan , Ganaie Majid Ahmad , Khan Rehan
Published: September 2018

Nature has bestowed mankind with surplus resources (natural products) on land and water. Natural products have a significant role in the prevention of disease and boosting of health in humans and animals. These natural products have been experimentally documented to possess various biological properties such as antioxidant, anti-inflammatory and anti-apoptotic activities. In vitro and in vivo studies have further established the usefulness of natural products in various preclinical models of neurodegenerative disorders. Natural products include phytoconstituents, like polyphenolic antioxidants, found in herbs, fruits, nuts, vegetables and also in marine and freshwater flora. These phytoconstituents may potentially suppress neurodegeneration and improve memory as well as cognitive functions of the brain. Also, they are known to play a pivotal role in the prevention and cure of different neurodegenerative diseases, such as Alzheimer’s disease, epilepsy, Parkinson’s disease and other neuronal disorders. The large-scale neuro-pharmacological activities of natural products have been documented due to the result of either the inhibition of inflammatory processes, or the up-regulation of various cell survival proteins or a combination of both. Due to the scarcity of human studies on neuroprotective effects of natural products, this review focuses on the various established activities of natural products in in vitro and in vivo preclinical models, and their potential neuro-therapeutic applications using the available knowledge in the literature.
Protein Secondary Structure Determination (PSSD): A New and Simple Approach
Authors: Panja Anindya Sundar , Bandopadhyay Bidyut , Nag Akash , Maiti Smarajit
Published: September 2018

Background:

Our present investigation was conducted to explore the computational algorithm
for the protein secondary structure prediction as per the property of evolutionary transient and
large number (each 50) of homologous mesophilic-thermophilic proteins.

Objectives: These mesophilic-thermophilic proteins were used for numerical measurement of helix-sheetcoil
and turn tendency for which each amino-acid residue is screened to build up the propensity-table.

Methods:

In the current study, two different propensity windows have been introduced that allowed
predicting the secondary structure of protein more than 80% accuracy.

Results:

Using this propensity matrix and dynamic algorithm-based programme, a significant and decisive
outcome in the determination of protein (both thermophilic and mesophilic) secondary structure
was noticed over the previous algorithm based programme. It was demonstrated after comparison with
other standard methods including DSSP adopted by PDB with the help of multiple comparisons
ANOVA and Dunnett’s t-test.

Conclusion:

The PSSD is of great importance in the prediction of structural features of any unknown,
unresolved proteins. It is also useful in the studies of proteins structure-function relationship.
Unusual Cerebral Involvement of Rheumatoid Arthritis Mimicking a Tumor
Authors: Tokdemir Sevil , Toprak Huseyin , Alkan Alpay
Published: September 2018

Background:

The central nervous system’s involvement in Rheumatoid Arthritis (RA)
is infrequent and can be life-threatening. Mass-like CNS involvement is an unusual presentation. A
45 year old man had suffered seropositive rheumatoid arthritis for five years referred to our hospital
with one-week history of right-sided facial paralysis, left hemiparesis and headache.

Discussion:

MRI demonstrated hyperintense mass-like lesion extended from mesencephalon to
right hippocampus and basal ganglia on T2 and FLAIR images. On DWI, restricted diffusion was
not present. After contrast administration, minimal contrast enhancement was noted. After
methotrexate and steroid treatment, the size had been markedly shrunken on the follow-up images.
The clinical symptoms were also improved.

Conclusion:

To our knowledge, the mass-like presentation was not reported in the literature. We
report an unusual case of brain involvement of rheumatoid arthritis mimicked tumor
Synthesis, Molecular Modeling and Biological Evaluation of 5-arylidene-N,N-diethylthiobarbiturates as Potential α-glucosidase Inhibitors
Authors: Khan Momin , Khan Sehrish , Ul Mulk Amir , Ur Rahman Anis , Wadood Abdul , Shams Sulaiman , Ashraf Muhammad , Rahman Jameel , Khan Iltaf , Hameed Abdul , Hussain Zahid , Khan Abbas , Zaman Khair , Khan Khalid M. , Perveen Shahnaz
Published: September 2018

Background:

Barbituric acid derivatives are a versatile group of compounds which are identified as potential pharmacophores for the treatment of anxiety, epilepsy and other psychiatric disorders. They are also used as anesthetics and have sound effects on the motor and sensory functions. Barbiturates are malonylurea derivatives with a variety of substituents at C-5 position showing resemblance with nitrogen and sulfur containing compounds like thiouracil which exhibited potent anticancer and antiviral activities. Recently, barbituric acid derivatives have also received great interest for applications in nanoscience.

Objective:

Synthesis of 5-arylidene-N,N-diethylthiobarbiturates, biological evaluation as potential α-glucosidase inhibitors and molecular modeling.

Methods:

In the present study, N,N-Diethylthiobarbituric acid derivatives were synthesized by refluxing of N,N-diethylthiobarbituric acid and different aromatic aldehydes in distilled water. In a typical reaction; a mixture of N,N-diethylthiobarbituric acid 0.20 g (1 mmol) and 5-bromo-2- hydroxybenzaldehyde 0.199 g (1 mmol) mixed in 10 mL distilled water and reflux for 30 minutes. After completion of the reaction, the corresponding product 1 was filtered and dried and yield calculated. It was crystallized from ethanol. The structures of synthesized compounds 1-25 were carried out by using 1H, 13C NMR, EI spectroscopy and CHN analysis used for the determination of their structures. The α-glucosidase inhibition assay was performed as given by Chapdelaine et al., with slight modifications and optimization.

Results:

Our newly synthesized compounds showed a varying degree of α-glucosidase inhibition and at least four of them were found as potent inhibitors. Compounds 6, 5, 17, 11 exhibited IC50 values (Mean±SEM) of 0.0006 ± 0.0002, 18.91 ± 0.005, 19.18 ± 0.002, 36.91 ± 0.003 µM, respectively, as compared to standard acarbose (IC50, 38.25 ± 0.12 µM).

Conclusion:

Our present study has shown that compounds 6, 5, 17, 11 exhibited IC50 values of 0.0006 ± 0.0002, 18.91 ± 0.005, 19.18 ± 0.002, 36.91 ± 0.003 µM, respectively. The studies were supported by in silico data analysis.
Mesenchymal Stromal Cells and Natural Killer Cells: A Complex Story of Love and Hate
Authors: Najar Mehdi , Fayyad-Kazan Mohammad , Merimi Makram , Burny Arsène , Bron Dominique , Fayyad-Kazan Hussein , Meuleman Nathalie , Lagneaux Laurence
Published: September 2018

Mesenchymal stromal cells (MSCs), characterized by both multidifferentiation potential and
potent immunomodulatory capacity, represent a promising, safe and powerful cell based-therapy for
repairing tissue damage and/or treating diseases associated with aberrant immune responses. Natural
killer (NK) cells are granular lymphocytes of the innate immune system that function alone or in combination
with other immune cells to combat both tumors and virally infected cells. After their infusion,
MSCs are guided by host inflammatory elements and can interact with different immune cells, particularly
those of the innate immune system. Although some breakthroughs have been achieved in understanding
these interactions, much remains to be determined. In this review, we discuss the complex
interactions between NK cells and MSCs, particularly the importance of improving the therapeutic
value of MSCs.
Synthesis and In vitro/In vivo Characterization of Raloxifene Grafted Poly(Styrene Maleic Acid)-Poly(Amide-Ether-Ester-Imide) Micelles for Targeted Delivery of Docetaxel in G Protein-Coupled Estrogen Receptor Breast Cancer
Authors: Varshosaz Jaleh , Enteshari Saeedeh , Hassanzadeh Farshid , Hashemi-Beni Batool , Minaiyan Mohsen , Sadeghian-Rizi Sedighe
Published: September 2018

Background:

To reduce the nonspecifically distribution of chemotherapeutic agents throughout the whole
body, which causes severe toxicity in normal tissues, targeting them towards a receptor overexpressed on tumor
tissue, is a promising method for cancer therapy.

Objective:

The aim of the present study was development of novel copolymeric micelles of raloxifene targeted
Styrene Maleic Acid-Poly Amide Ether Ester Imide-Poly Ethylene Glycol (SMA-PAEEI-PEG-RA) and loading them
with Docetaxel (DTX).

Methods:

Successful synthesis of the targeted copolymer was confirmed by FTIR and C-NMR spectroscopy. The
micelles physicochemical properties like morphology, particle size, poly dispersity index, zeta potential, drug
loading, release, stability, in vitro cytotoxicity and cellular uptake were analyzed. The in vivo antitumor activity of
DTX-loaded micelles were assessed and compared with free DTX and non-targeted micelles in breast cancer bearing
Balb-c mice.

Results:

Particle sizes, zeta potentials and the encapsulation efficiency of the drug in targeted micelles were 115.9-
142.8 nm, -4.9 to -12.9 mV, and 54.1-67.8%, respectively. Cell toxicity tests showed that IC50 of DTX-loaded SMAPAEEI-
PEG-RA micelles increased five-fold as compared with free DTX. Survival rate of the mice improved more
effectively than free DTX so that, the percentage of increase in lifespan (ILS%) and the tumor inhibition ratio (TIR)
changed from 41.66% and 51.19% in free drug to 83.33% and 78.57% in the targeted micelles, respectively.

Conclusion:

Therefore, the raloxifene conjugated PEG-derived micelles may provide a novel and effective delivery
system for DTX in breast cancer.
Computational Studies in Drug Design Against Cancer
Authors: De Baishakhi , Bhandari Koushik , Mendonça Francisco J.B. , Scotti Marcus T. , Scotti Luciana
Published: September 2018

Background:

The application of in silico tools in the development of anti cancer drugs.

Objective:

The summing of different computer aided drug design approaches that have been applied in the development
of anti cancer drugs.

Methods:

Structure based, ligand based, hybrid protein-ligand pharmacophore methods, Homology modeling,
molecular docking aids in different steps of drug discovery pipeline with considerable saving in time and expenditure.
In silico tools also find applications in the domain of cancer drug development.

Results:

Structure-based pharmacophore modeling aided in the identification of PUMA inhibitors, structure
based approach with high throughput screening for the development of Bcl-2 inhibitors, to derive the most relevant
protein-protein interactions, anti mitotic agents; I-Kappa-B Kinase β (IKK- β) inhibitor, screening of new
class of aromatase inhibitors that can be important targets in cancer therapy.

Conclusion:

Application of computational methods in the design of anti cancer drugs was found to be effective.
DESIGN ANALYSIS TO ACHIEVE GREEN/ECO SCHOOL BUILDING DESIGN TYPOLOGY FOR MALAYSIA
Authors: Denan Zuraini , Mazlan Muhammad Afiq Helmi , Abdul Majid Noor Hanita , Sanusi Nur Aliyah Zafirah
Published: September 2018

Ever since the first establishment of the public school (primary and secondary school) in Malaysia, the building design for most of the schools is almost the same until now. Public school for primary and secondary education is based on a standard layout designed by the Malaysian Public Works Department. Evolution of varieties education system employed by the schools does not affect the physical design of school. The emergence of awareness on sustainability and promotion towards green way of life has made it crucial for designer to rethink the best design for school in enhancing its environment that could be the “third teacher” to the pupils. The research attempt to explore design criteria of green school in Malaysia based on the critical elements of green initiatives. Recommendation of green/eco school design will be presented based on site and building planning, climate and green technology application
HERITAGE BUILDING PRESERVATION THROUGH BUILDING INFORMATION MODELLING: REVIVING CULTURAL VALUES THROUGH LEVEL OF DEVELOPMENT EXPLORATION
Authors: Ali Maisarah , Mohd Ismail Kamsiah , Has-Yun Hashim Khairusy Syakirin , Suhaimi Saifulnizam , Mustafa Muhammad Hadi
Published: September 2018

Despite the rich and diverse heritage buildings in Malaysia, they suffer from many problems and threats. Many heritage buildings are deteriorating, and this threatens the country’s cultural values. The deterioration of built heritage is a result of the poor inheritance of its related documentation and need to be addressed. Thus, this study brought forward the concept of preservation using Building Information Modelling (BIM). Exploring the potential of BIM as a preservation tool in reviving local cultural values might help to balance the problem of poor inheritance or inconsistency in managing historic and documentation maintenance. The aim of this paper is to study the relationship between levels of development (LOD) and usage of BIM in heritage building preservation. This study employs exploratory research using content analysis. The result of the study found that the availability of as-built details (LOD 500) of the building would be the crucial dataset needed for BIM to function in heritagebuilding as H-BIM. This paper suggests on techniques available for constructing Level of Development (LOD) needed for H-BIM.
HOUSING FOR DISABLED PEOPLE: WHAT DO THEY NEED?
Authors: Ab Rahman Syakir Amir , Samsudin Nasriah , Mohamed Osman Mariana , Bachok Syahriah , Rabe Noor Suzilawati
Published: September 2018

Across the world, people with disabilities, advocacy companies, key nonauthorities and government stakeholders are trying to find approaches to enhance housing assist preparations for the disabled people. In order to do so, the housing industry should be more adaptive to meet the demand of the people with special needs. The government also needs to plan for suitable housing policies for all groups of people. Housing is the central focus for human being including the disabled people and houses that follow housing standard for the disabled will improve their quality of life. The objective of this paper is to study the preferences in terms of price, location and design factors in owning a residential property among the disabled community in Kuala Lumpur and Selangor. A survey questionnaires was distributed to 400 respondents of the disabled community. The survey focused on two categories of disability, which are the physical disability and visual impairment. The outcome of this study describes the preferences in owning a residential property in term of price, location and design of the property. Recommendation was then made on housing strategy in planning for the price, location and design of residential property for the disabled community in Kuala Lumpur and Selangor.
PHYSICOCHEMICAL PROPERTIES AND POZZOLANIC PERFORMANCE OF ULTRAFINE TREATED RICE HUSK ASH (UFTRHA) AS ADDITIVE IN CONCRETE
Authors: Saad Siti Asmahani , Shafiq Nasir , Ali Maisarah
Published: September 2018

Rice husk ash (RHA) contains high amount of amorphous silica that is ubiquitous in the pozzolanic reaction of SCM in concrete. However, usage of conventional RHA is currently unfavourable in concrete industry due to its properties inconsistency. In this regard, improvement on the RHA properties by introduction of thermochemical pre-treatment prior to burning procedure is seen as an excellent way to reach the goal. In this paper, raw rice husk was pre-treated using 0.1N hydrochloric acid (HCl) and heated at 80oC. It was then mechanically activated by high energy planetary ball mill for 15 minutes at speed of 300rpmand ball-to-powder ratio (BPR) of 15:1. The chemical composition, mineralogical properties, particle size analysis, specific surface area as well as microstructure properties of ultrafine treated rice husk ash (UFTRHA) were determined accordingly. As for amorphous silica content of the optimum sample was recorded as 98.60% incinerated at 600oC with four hours of pre-treatment soaking duration. In terms of particle size and specific surface, it was also observed that, burning temperature of 600oC, pre-treated at four hours were recorded to produce finest size of UFTRHA where d(0.1), d(0.5) and d(0.9) were obtained as 1.416?m, 4.364 ?m and 14.043 ?m respectively. Largest specific surface area value was obtained at 219.58 m2/g with the similar pre-treatment conditions. Meanwhile, the strength activity of UFTRHA from the optimum pre-treatment process was measured by testing the compressive strength of mortars. The highest compression value obtained was 50.17MPa with 3% UFTRHA replacement at 28 days.
INHALABLE AND RESPIRABLE DUST CONCENTRATION OF SOILED STONE, METAL AND CERAMIC ARTEFACT INSIDE NATIONAL MUSEUM MALAYSIA
Authors: Mohd Din Shamzani Affendy , Mat Husin Nur Baiti , Othman Rashidi
Published: September 2018

Airborne particulate matter is a key indicator of air pollution brought into the air by a variety of natural and human activities. As it can travel in distances and suspended in the atmosphere, it affects human health and museum artefact. The primary idea of this paper is to discuss the mass concentration of airborne particulates matter in terms of inhalable and respirable dust from the stone, metal and ceramic display showcase. The fluctuation of temperature and relative humidity, the museum cleaning activity, the usage of HVAC system and construction activity affect the soiling defect of stone, metal and ceramic artefact. The approach selected to collect primary data for this research is by conducting case study at the National Museum of Malaysia. Personal air sampling was conducted using Casella 7-Holes and Cyclone sampler head. Results revealed high abundances of inhalable dust at stone and ceramic artefact both in Galley A and B. This study is beneficial towards the Jabatan Muzium Malaysia (JMM), Department of Environment (DOE), Ministry of Health (MOH) and Ministry of Natural Resources and Environment (MONRE) by emphasising that reducing air pollution will reduce soiling defect of the museum artefact. Thus, it can reduce government expenses to the museum management towards cleaning procedure for the damaged artefact.
INCLUSIVE DISASTER RISK MANAGEMENT (DRM) FOR BERTAM VALLEY COMMUNITY
Authors: Muda Rahsidi Sabri , Tukiman Izawati , Mohd Hussain Mohd Ramzi , Zen Ismawi
Published: September 2018

This paper focuses on the inclusiveness of Disaster Risk Management. The study assesses proactive adaptation of Early Warning System (EWS) for Disaster Risk Reduction Program in Bertam Valley. The study aims to identify community preferences as an initiative to improve the effectiveness of the EWS system. In order to sustain the awareness and preparedness of EWS, continuous involvement by the community is necessary to make them resilient. Specific focus is given to Person with Disabilities (PwDs), elderly and children. Therefore, it is vital to understand the efficient methods to alarm PwDs, elderly and children during emergencies occurrence, which will focus on the implementation of types of alarm in EWS with regards to the early warning alarm and emergency notification. The finding from this paper is useful to assist local authorities and emergency responder in the formulation of warning and evacuation procedures to save the PwDs if dam failure is imminent.
Extraction of Information Related to Adverse Drug Events from Electronic Health Record Notes: Design of an End-to-End Model Based on Deep Learning (Preprint)
Authors: Li Fei , Liu Weisong , Yu Hong
Published: September 2018

BACKGROUND

Pharmacovigilance and drug-safety surveillance are crucial for monitoring adverse drug events (ADEs), but the main ADE-reporting systems such as Food and Drug Administration Adverse Event Reporting System face challenges such as underreporting. Therefore, as complementary surveillance, data on ADEs are extracted from electronic health record (EHR) notes via natural language processing (NLP). As NLP develops, many up-to-date machine-learning techniques are introduced in this field, such as deep learning and multi-task learning (MTL). However, only a few studies have focused on employing such techniques to extract ADEs.

OBJECTIVE

We aimed to design a deep learning model for extracting ADEs and related information such as medications and indications. Since extraction of ADE-related information includes two steps—named entity recognition and relation extraction—our second objective was to improve the deep learning model using multi-task learning between the two steps.

METHODS

We employed the dataset from the Medication, Indication and Adverse Drug Events (MADE) 1.0 challenge to train and test our models. This dataset consists of 1089 EHR notes of cancer patients and includes 9 entity types such as Medication, Indication, and ADE and 7 types of relations between these entities. To extract information from the dataset, we proposed a deep-learning model that uses a bidirectional long short-term memory (BiLSTM) conditional random field network to recognize entities and a BiLSTM-Attention network to extract relations. To further improve the deep-learning model, we employed three typical MTL methods, namely, hard parameter sharing, parameter regularization, and task relation learning, to build three MTL models, called HardMTL, RegMTL, and LearnMTL, respectively.

RESULTS

Since extraction of ADE-related information is a two-step task, the result of the second step (ie, relation extraction) was used to compare all models. We used microaveraged precision, recall, and F1 as evaluation metrics. Our deep learning model achieved state-of-the-art results (F1=65.9%), which is significantly higher than that (F1=61.7%) of the best system in the MADE1.0 challenge. HardMTL further improved the F1 by 0.8%, boosting the F1 to 66.7%, whereas RegMTL and LearnMTL failed to boost the performance.

CONCLUSIONS

Deep learning models can significantly improve the performance of ADE-related information extraction. MTL may be effective for named entity recognition and relation extraction, but it depends on the methods, data, and other factors. Our results can facilitate research on ADE detection, NLP, and machine learning.
Pengaruh Kepemimpinan Transformasional Dan Budaya Organisasi Terhadap Kepuasan Kerja Serta Dampaknya Pada Kinerja Karyawan
Authors: Wahyuniardi Rizki , Nababan Hepytisa Renaldo
Published: September 2018

This study aims to analyze employee performance. Employee performance is the result of thinking and energy from an employee to the existing job, can be tangible, seen, employee performance by some factors that are Transformational Leadership, Organizational Culture, and Job Satisfaction. Referring to the purpose of research that is done is to analyze and analyze various variables, then this research is descriptive and verificative. In descriptive analysis explained the dependent variables on which the theory is based. The verification analysis is used. Structural Equation Modeling (SEM) with the help of Lisrel program.
Pengembangan Algoritma Non Delay Pada Kasus Penjadwalan Non-Permutation Hybrid Flowshop Untuk Minimasi Mean Flowtime
Authors: Khoiroh Siti Muhimatul
Published: September 2018

Production scheduling is one of the key success factors in the production process. Scheduling approach with Non-Permutation flow shop is a generalization of the traditional scheduling problems Permutation flow shop for the manufacturing industry to allow changing the job on different machines with the flexibility of combinations. This research tries to develop a heuristic approach that is non-delay algorithm by comparing Shortest Processing Time (SPT) and Largest Remaining Time (LRT) in the case of non-permutation flow shop to produce minimum mean flow time ratio. The result of simulation shows that the SPT algorithm gives less mean flow time value compared to LRT algorithm which means that SPT algorithm is better than LRT in case of non-permutation hybrid flow shop.
Evaluasi Supplier Dengan Menggunakan Metode Analytical Hierarchy Process Dan Taguchi Loss Function
Authors: Asdidi Muhammad Yanu , Alpianto Moeso , Yaqin Ahmad Ainul
Published: September 2018

Supplier evaluation process is a strategic activity on purchasing management that aims to find out the performance of the supplier. PT. Fronte Classic Indonesia is a company manufacturing car carpet, one of the raw materials needed in producing car carpet that is calcium. The supplier in partnership with the company has performance that is less suitable. The methods used in this research Analytical Hierarchy Process (AHP) and Taguchi Loss Function. AHP is used to determine the weights of the criteria and Taguchi Loss Function is used to calculate the loss function of the respective supplier. Supplier evaluation process carried out to search for suppliers and meet the criteria of the company. The criteria used in the evaluation of suppliers are price, delivery, quality, the accuracy of goods quantity, guarantee policy, response to claims. The results showed that the suppliers who meet the criteria of the company by providing minimum losses as the best supplier.
Peningkatan Kualitas Produk Cokelat Dengan Integrasi Metode Kano Dan QFD
Authors: Lukman Mohammad , Wulandari Wahyu
Published: September 2018

The company strives to produce quality products or services. Therefore, companies seek satisfaction or consumer needs so that consumers are satisfied. This study uses the Kano method and QFD. Kano aims to find out the attributes of chocolate products according to consumer desires. Furthermore, QFD gives priority to priority development. The research objective is to find out the product attributes that consumers want and provide information in an effort to improve quality. The results showed that there were 23 attributes which were consumers and 11 who were responsible for making new design designs, checking the composition and quality of raw materials, choosing fonts that were easy to read by consumers, adding filling nuts and eating in promotions via Instagram.
Implementasi Pengelolaan Keuangan Desa (Studi Kasus Desa Rawa Burung, Kabupaten Tangerang, Banten)
Authors: Firmansyah Amrie
Published: September 2018

Abstract

This study aims to determine the implementation of village financial management covering the phases of planning, implementation, administration, reporting, and accountability. The method used in this study is a descriptive qualitative and using data research technique with an in-depth interview, observation, and documentation. Rawa Burung Village is used in this study because it has a location close to DKI Jakarta Province which is expected to have competent s in village financial management. Informants in this research are village government officers who understand the village financial management cycles.

The results of this study concluded that the village financial management, in general, has been conducted accountably and transparently in accordance with the applicable rules. However, the implementation of village financial management is dominated by the head of the village government section, not the village treasurer who is supposed to the village finance management functions. This is due to the lack of standard operating procedures for village financial management, clear job description, and qualification of job competence. The low salaries in the village administration resulted in the reluctance of people to work in the village government. In addition, Rawa Burung Village does not have officers with an educational background in accounting.

Keywords: village financial management, accountable, transparent
Persepsi Mahasiswa Akuntansi Terhadap Profesi Akuntan Publik
Authors: Herlin Herlin , Sari Marlinda
Published: September 2018

This research aims to gain the perception or attitude of the students towards the profession of public accounting accounting. This research was done at the University of Bengkulu Dehasen addressed to the accounting student with the number of respondents as many as 55 people. To get the perception of this study uses census with sampling method research tool questionnaire presented to students by way of accounting to meet directly and ask for the willingness of the time to fill out the questionnaire provided. The results of this study proves that the most dominant factor affect the perception of accounting students of Dehasen Bengkulu University to the profession of public accountant is the personality and professional recognition. While the factor of financial reward and work environment Does not affect the perception of accounting students of Dehasen University of Bengkulu to the public accountant profession
Potensi Daya Tolak Ekstrak Daun Marigold (Tagetes erecta L.) terhadap Nyamuk Aedes aegypti
Authors: Marini Marini , Ni’mah Tanwirotun , Mahdalena Vivin , Komariah Rahayu Hasti , Sitorus Hotnida
Published: September 2018

Aedes aegypti is vector of Dengue Hemorrhagic fever (DHF) which still considered as important health problem in Indonesia. The marigold (T. erecta L.) is a well known plant in the community and widely used as traditional medicines and repellent mosquitoes plant. This study aims to assess the repellency effect of ethanol extract of marigold leaves againts Ae. aegypti. The marigold were obtained from the farmers’ garden in Kerinjing Village, Pagaralam, Sumatera Selatan Province. The extraction process was carried out in Pharmaceutical Laboratory and Genetics Laboratory Faculty of Mathematics and Natural Sciences, Sriwijaya University in June 2016. Maceration process used solvent ethanol 70%. The repellency test was done in Entomology Laboratory of Loka Litbang P2B2 Baturaja in August to October 2016. The repellent was made with mixture of cleansing milk as diluent with concentration of 25%, 30%, 35%, 40%, and 45%. The method of repellent test was referred to WHOPES 2009 with modification. The phytochemical test showed that marigold leaves extract had compound of alkaloid, flavonoid, saponin, and tannin. The repellency test showed that the lotion of marigold leaves extract was ineffective as repellent againts Ae. aegypti with complete  protection up to more than 90% after two hours aplication at concentration 30%.
Hubungan Program Penanggulangan Malaria dengan Kasus Malaria di Kabupaten Lahat Tahun 2016
Authors: Margarethy Indah , Yenni Aprioza , Wurisastuti Tri , Salim Milana , Santoso Santoso
Published: September 2018

Malaria is still a health problem in Lahat Regency because it has the highest Annual Parasite Incidence (API) in South Sumatera Province which is 2.94‰ in 2014 and decreased to 2.57‰ in 2015. The high rate of malaria morbidity occured in Lahat Regency so it is important to conduct comprehensive malaria prevention by promotive, preventive, and curative to decrease malaria morbidity rate. This study aims to determine the relationship between malaria prevention program with malaria morbidity rate in Lahat Regency. The design of this research was descriptive analytic with cross sectional approach. This research was conducted on 31 malaria program managers at puskesmas in Lahat Regency. The method used was interview using questionnaires to obtain quantitative data, while secondary malaria data was obtained from Lahat District Health Office. The results showed that the percentage of puskesmas that conducted promotive efforts by counseling was quite high (93,5%), but still not statistically significant to the stratification of area based on API-rate. The most prevalent preventive measures was the distribution of nets and the lowest was the spread of larvivorous fish. Malaria prevention programs which had significant impactto morbidity based on API-rate in Lahat was the distribution of Artemisinin-base Combination Treatment (ACT) given to people with malaria positive (p value = 0,008).
W-Peakedness: A Simulation based Study
Authors: Safdar Suboohi , Ahmed Dr. Ejaz
Published: September 2018

Kurtosis is a commonly used descriptive statistics. Kurtosis “Coefficient of excess” is critically reviewed in different aspects and is called as, measuring the fatness of the tails of the density functions, concentration towards the central value, scattering away from the target point or degree of peakedness of probability distribution. Kurtosis is referred to the shape of the distribution but many distributions having same kurtosis value may have different shapes while Kurtosis may exist when peak of a distribution is not in existence. Through extensive study of kurtosis on several distributions, Wu (2002) introduced a new measure called “W-Peakedness” that offers a fine capture of distribution shape to provide an intuitive measure of peakedness of the distribution which is inversely proportional to the standard deviation of the distribution. In this paper the work is extended for different others continuous probability distributions. Empirical results through simulation illustrate the proposed method to evaluate kurtosis by W-peakedness
Differential Image Compression for Telemedicine: A Novel Approach
Authors: Khan Adnan Alam , Shah Dr. Asadullah , Muhammad Saghir
Published: September 2018

Telemedicine is one of the most emerging technologies of applied medical sciences. Medical information related to patients is transmitted and stored for references and consultations. Medical images occupy huge space; in order to transmit these images may delay the process of image transmission in critical times. Image compression techniques provide a better solution to combat bandwidth scarcity problems, and transmit same image in a much lower bandwidth requirements, more faster and at the same time maintain quality. In this paper a differential image compression method is developed in which medical images are taken from a wounded patient and are compressed to reduce the bit rate of these images. Results indicate that on average 25% compression on images is achieved with 3.5 MOS taken from medical doctors and other paramedical staff the ultimately user of the images.
Revisiting Far/Near Infrared Pyramid-Based Fusion Types for Night Vision Using Matlab
Authors: Mahfooz Osama , Shah Dr. Asadullah
Published: September 2018

The night vision imaging mechanisms are developed to increase the visibility beyond normal human perception capabilities. So far, night vision methods reported in literature, such as, Morphological, Low Pass Pyramid, Contrast Pyramid, Filter Subtract Decimate and Shift Invariant methods, the Laplacian fusion method has been rated, the best method [1][2]. In this research paper four different methods of fusion of images, Gradient, Wavelet, Quincuns Lifting, including Laplacian are processed using Matlab toolbox called Matifus for night vision. For comparing the results of processed images using above methods, Mean Opinion Score (MOS) is used. MOS result of Laplacian, wavelet, gradient and quincunx methods are compared. The MOS results on the scale of 1-5 indicate a score of 4.15 for Laplacian, that means the quality of image perceived by the scorers is rated between good and excellent. By using MOS and perceptually proving that Laplacian technique is better than all others for night vision systems. However Gradient scored 3.56, Wavelet scored 3.15 and lastly 2.22 was scored by Quincunx Lifting method.
A Novel Text Steganography Technique to Arabic Language Using Reverse Fat5Th5Ta
Authors: Memon Mujtaba.S , Shah Dr. Asadullah
Published: September 2018

This paper presents a new technique for information hiding in Arabic language. The technique uses text steganography to hide the information. Considering the existence of Harakat (Fatha, Kasra and Damma) in the languages a new approach of reversing the Fatha has been developed for message hiding. The technique has been also evaluated to ensure its quality. This technique can be applied on other languages like Persian, Sindhi and other Regional languages.
Application of Stochastic Volatility Model to KSE-100
Authors: Jawed Syed Monis
Published: September 2018

The paper examines the implementation of stochastic volatility (SV)
model to the data of Karachi Stock Exchange 100 index during the
period of January 2007 to December 2011. The Stochastic Volatility
model is compared with the GARCH (1,1) model for forecasting
volatility. The stochastic volatility model is basically a parametric
approach to observe volatility that includes two noise terms, tends to
capture volatility better than GARCH (1,1) model. Thus this exercise
demonstrates the capability of stochastic volatility model to forecast
volatility more efficiently for emerging markets such as KSE
Relationship between Quality of Work Life and Demographical characteristics of SMEs employees
Authors: Nanjundeswaraswamy T S
Published: September 2018

The purpose of this research is to evaluate the status of Quality of
Work Life of employees working in SMEs and second to explore the
relationship between Quality of Work Life and demographic
characteristics of employees and Firms. The research is conducted
among 1092 employees and the results suggest that the status of
Quality of Work Life of employees is very less .No significant relation
between gender and Age of employees and study also revealed that
Experience, nature of Job, educational level, designation and salary
has an signification association between QWL. Study also conducted
to find out the association between firms demographical factors and
QWL of employees, it revealed that Age of the firm, Size of the firm
and cost of the project has significant association between QWL of
employees.
Review of Indexing Techniques Applied in Information Retrieval
Authors: Shah Najmus Saher
Published: September 2018

Indexing is one of the important tasks of Information Retrieval that can be applied to any form of data, generated from the web, databases, etc. As the size of corpora increases, indexing becomes too time consuming and labor intensive, therefore, the introduction of computer aided indexer. A review of indexing techniques, both human and automatic indexing has been done in this paper. This paper gives an outline of the use of automatic indexing by discussing various hashing techniques including fuzzy finger printing and locality-sensitive hashing. Two different processes of matching that are used in automatic subject indexing are also reviewed. Accepting the need of automatic indexing in a possible replacement to manual indexing, studies in the development of automatic indexing tools must continue
Research in Pakistan: Structure, Funding and Results
Authors: Ansari Seema , Poncela Javier , Otero Pablo , Ansari Adeel , Mahfooz Osama
Published: September 2018

In Pakistan Higher Education Commission (HEC) is considered
as the centralized body that governs and sets policies for
research and development for all educational institutions of
higher learning. Availability of research material is one of the
main hurdles in the production and creativity of many
researchers in all disciplines at university level. Dearth of such
facilities demotivates the young researchers, and they start
looking for opportunities in the urban countries. HEC has made
the first move by starting National Research Program for
Universities (NRPU) by promoting the Research &
development to meet the current challenges. The aim of this
research is to provide the research status in Pakistan, its
structure, funding and results. The support of the government
to researchers plays a vital role. Some bottlenecks that have
been identified are: centralized system, processing delays in
approval of funds and projects and slow execution of policies

The delays in the approval and release of funds affect the system
and interest of researchers. Poor check on policy implementation
results in economic loss to the country. HEC is trying to
encourage research culture in Pakistan; The HEC supports
researchers based on their ability and impact factor with a
maximum funding of 20 Million. It provides grants for research
projects in the fields of Engineering, Science & Technology as
well as humanities and social sciences. The objective is to
encourage research in all fields and branches of learning
Review on Use of Wireless Sensor Network To Overcome Agricultural Problems of Pakistan
Authors: Mahfooz Osama , Memon Mujtaba , Poncela Javier
Published: September 2018

Wireless sensor networks are the communication of small sensing el- ements which collaborate with each other to collect process and communicate over wireless channel information about some physical phenomena. These self- managing, highly robust and energy efficient networks can be excellent means for monitoring underground mining, wildlife and various physical infrastruc- tures such as bridges, pipelines, and buildings. This paper introduces wireless sensor networks to address specific problems in agriculture system of agricul- tural countries like Pakistan and discusses WSN’s usefulness to overcome those problems.
The Estimation ofAggregate Consumption Function for High Income Countries
Authors: Ahmed Manzoor , Baloch Akhtar , Khan Khalid , Memon Manzoor Hussain
Published: September 2018

Aggregate Real Private Consumption (ARPC) is one of the major components of the Gross Domestic Product (GDP)that contributes to specify any economy’s long term living standards. The contribution of ARPC stands on an average around 55%. It is therefore important to understand the components of the consumption which is almost more than half of the aggregate economic expenditure. The study is an attempt to make a case for developing countries to bring policy level changes in order to determine the consumption pattern of developing countries’ GDP. Using appropriate empirical model the study investigates the validity of Permanent Income Hypothesis (PIH) and Absolute Income Hypothesis (AIH)on ARPC for selected developed economies. The results of the study reveals that the important determinants of ARPC in the long-run are real GDP and wealth, while in the short-run they are real interest rate and unemployment rate.
Survival Analysis of Tumor using 7 Tesla MRI
Authors: Burney S.M. Syed Aqil , Khan Adnan Alam , Iftikhar Asim
Published: September 2018

Magnetic resonance imaging (MRI7) is a very powerful imaging technique for the assessment of stroke aetiology (Condition) and brain imaging. Another class of MRI is ultrahigh frequency based MRI using 7 Tesla is now developed by seamen’s for better imaging in humans. This study examines these MRI. This
article highlights an alternative approach, denoted “interval monitoring,” whose aims is related with more timely detection of tumor cancer changes. The conceptual background and the computational realization of the proposed method are outlined, and its application is illustrated by an empirical example from the image-based photo science, cancer registry of America. Monitoring of cancer patient survival is the first step of its cure so across the globe practice routinely employed by many cancer registries, which is an essential component for its cure. However, changes in prognosis over time are disclosed with
considerable delay, with traditional methods of monitoring cumulative survival. Our study took sequence of MRI images, GMPLS function locate the cancer after filtering and skeletonization. This study saves time and difference for calculation of cancer equation. This study uses statistical technique to get the desired matrix, further its inverse provides us real time mathematical equation which is unique for each patient. Further survivor analysis is employed to achieve the break or death of subject. The Aim of this research is to provide unique mathematical model of a cancer patient, provides real time graph about
cancer health and survivor function depicts the death of subject respectively.
Effects of CO 2 Emission on Health & Environment: Evidence from fuel ssources in Pakistani Industry
Authors: Abdullah Fahad Bin
Published: September 2018

Climate change, resulting from an increasing concentration of Gases (CO2, SO2 and NO2) in the atmosphere caused by the use of fossil fuels in the industry, is now an established phenomenon and its effects on health have been observed in most parts of the world including Pakistan. The environmental concerns of Pakistan are associated with the adverse impact of expansion in population, change in the living norms of individuals, modern advancement and construction of house schemes, increment in transportation, no public awareness of environmental related education, mismanagement of natural resources, widely unplanned urban and industrial expansions are the core hard issues. Studies of air and water have revealed an alarming air quality especially in most urban and industrial areas and also serious deterioration of surface and ground water quality was identified. The reason for this degradation is emission of CO2 from the industrial sector. This investigation is to identify the contribution in fuel
sources like solid, liquid and gas in the industries with overall emission of CO2 in the atmosphere and its
impact on human health
Effects of Economic and Population Factors on Health Expenditures: Special Case of Pakistan
Authors: Yaqoob Tanzeela , Bibi Rahat , Siddiqui Junaid S.
Published: September 2018

This paper aims to explore the factors affecting the health care expenditures of Pakistan by employing the Multivariate techniques for the annual data series from 1960 to 2010 .The variables we considered are Gross Domestic Product (GDP) as an economic indicator, Population of age 65 and above (P≥65), Population of age 0 to 14 (P(0-14)), Life expectancy at Birth (LE), Crude Birth rate (CBR) and population growth rate (GR) as population indicator and Total Health Expenditure (THE) as an influencing factor. Multiple regression considering Total Health Expenditure (THE) is applied as dependent on the variables mentioned above. Since Variance Inflation Factor (VIF) for all independent variables are very high, the smallest VIF is around 11 goes up to 65. The results obtained by Principal components reveal the effect of population structure and the age factor effect oppositely on Total Health Expenditures (THE). Factor Analysis suggests that the behavior of Health Expenditures is common with Gross Domestic Product (GDP), population of age 65 and above (P≥65) and life expectancy at Birth (LE) in Pakistan while population of age 0 to 14 (P (0-14)), population growth rate (GR) and Crude Birth rate (CBR) are moving in opposite direction i.e. as GDP, P≥65 and LE of Pakistan increases P (0-14), GR and CBR will decreases.
Satellite Derived Sea surface temperature fronts in relation with Tuna catch In EEZ of Pakistan
Authors: Abdullah Muhammad , Malik Saad , Siddiqui Muhammad Danish , Khan Aftab Ahmed
Published: September 2018

Sea surface temperature (SST) is an important parameter in marine ecosystem studies as its relations of Fishery and other marine resources. In this study SST fronts have also been studied with relate to tuna fish catch data of April and August 2014 was acquired. Satellite derived MODIS daily products have been used to derive thermal fronts in the exclusive economic zone (EEZ) of Pakistan. Research results indicated that the Sea surface temperature gradually changed from 22C to 24C where Tuna catch is high and By Catch is low in frontal region. The further Relationship between these two data are discussed in this study and also made recommendations for in what way these two datasets should be handled. Remote sensing data and GIS tools are efficient and less time consuming for mapping and classifying sea surface temperature in a broader way. Survey of fishing resources is really time consumed and costly, Satellite Remote sensing data shows a promising tool to monitor fishery resources in a cost effective manner. Satellite data play an important role to identify fish aggregation zones and these techniques could also be used to forecast potential fishing zones by measuring oceanic parameters which influence on fish distribution on a broader scale and these techniques can help to local fisherman and fishery organizations to observe fishery resources.