bluuebunny/crossref_metadata_2025_split huggingface dataset:
PENINGKATAN TUNTAS BELAJAR FISIKA MELALUI PEMBELAJARAN FISIKA DENGAN MATERI AJAR BERWAWASAN SETS DAN PENDEKATAN SETS PADA POKOK BAHASAN FLUIDA STATIS DAN DINAMIS KELAS XI-IA SEMESTER 2 SMA NEGERI 2 SEMARANG
Authors: S Sumarno 
Published: December 2019

Nilai Ulangan Blok Semester I tahun ajaran 2006-2007 siswa kelas XI IA-3 SMA Negeri 2 Semarang 55% tidak tuntas belajar Fisika. Hal ini disebabkan karena materi ajar dan pendekatan pembelajaran Fisika kurang menarik perhatian siswa. Untuk meningkatkan jumlah siswa yang mencapai tuntas belajar Fisika diberikan materi ajar Fisika berwawasan SETS dengan pendekatan SETS. Pada siklus I dengan konsep Fluida Statis. Pembagian kelompok merupakan bagian dari pendekatan SETS dibentuk berdasarkan pilihan siswa, dan terbentuk 6 kelompok beranggotakan 7 siswa untuk kelompok 1 sampai 4, sedangkan kelompok 5 dan 6 beranggotakan 8 siswa. Hasil yang dicapai pada siklus I : Aktivitas siswa dalam proses belajar mengajar meningkat, ditandai dengan peningkatan perilaku siswa, dan jumlah siswa yang mencapai tuntas belajar meningkat menjadi 75 %. Kelemahan pada siklus I, terletak pada jumlah anggota kelompok terlalu banyak, dan kemampuan akademik kelompok tidak merata. Pada siklus II dengan konsep Fluida Dinamis, pembagian kelompok yang merupakan bagian dari pendekatan SETS diubah dengan menambah jumlah kelompok menjadi 8 kelompok, kelompok 1 sampai 4 beranggotakan 5 siswa sedangkan kelompok 5 sampai 8 beranggotakan 6 siswa. Pembagian anggota kelompok berdasarkan kemampuan akademik. Dengan mengubah jumlah kelompok dan anggota kelompok pada siklus II ternyata proses belajar mengajar menjadi lebij baik. Dalam menyelesaikan masalah anggota kelompok lebih aktif. Hasil yang dicapai pada siklus II : Aktivitas siswa mengalami peningkatan dari siklus I, jumlah siswa yang mencapai tuntas belajar menjadi 84 %. Dari hasil yang telah dicapai pada siklus I dan siklus II, dapat disimpulkan bahwa materi ajar berwawasan SETS dengan pendekatan SETS dengan pembagian kelompok berdasarkan kemampuan akademik dapat meningkatkan aktivitas belajar siswa dan jumlah siswa yang mencapai tuntas belajar. Materi ajar Fisika berwawasan SETS dan pendekatan SETS dengan pembagian kelompok berdasarkan kemampuan akademik dapat menjadi salah satu model pembelajaran Fisika bagi guru.
On the nature of risk in the safety management of structurally complex systems
Authors: Bochkov A. V. 
Published: December 2019

Aim.In the general case, a risk-oriented approach encompasses probabilistic methods of emergency processes and events simulation as well as deterministic methods. The use of probabilistic and deterministic estimations has been the focus of research aiming to improve safety and operational procedures. However, the experience of using probabilistic analysis only (essentially, one-criterium tool) has shown that this approach does not encompass all the required aspects of safety. The aim of the paper is to introduce (update) the definitions of the very concepts of “analysis” and “synthesis” as regards the risks for the purpose of research of safety of structurally complex systems (SCS) and design of systems for monitoring hazards and threats to their stable development thereof.Method.The paper examines – from the point of view of systems science – the method of analysis and synthesis of risks as a development tool of advanced systems for monitoring SCS safety threats. The paper compares the primary current concepts of risk management in SCS and has shown that they should be developed and improved. A type of risk functionality is proposed that allows defining a safety solution by the value of mathematical expectation of losses, with appropriate corrections taken into account.Result.The concept of “risks synthesis” is introduced as a scientific tool integrated with analysis that takes into consideration the existing connections between the elements of considered SCS in terms of a whole system in its entirety. Principles are formulated for the collection of comprehensive sets of data required for decision-making.Conclusion.The proposed approach paves the way for the development of the method of risks synthesis and suggests the development of advanced expert systems to support decision-making regarding the safety of SCS as multifunctional and multilevel systems intended for both recording and analysis of each individual case (event), and prediction of trends and preparation of prevention measures as necessary.
Anti-Cancer Effects of Asiatic Acid, a Triterpene from Centilla asiatica L: A Review
Authors: Islam Muhammad T. , Ali Eunus S. , Uddin Shaikh J. , Khan Ishaq N. , Shill Manik C. , de Castro e Sousa João M. , de Alencar Marcus V.O. Barros , Melo-Cavalcante Ana A.C. , Mubarak Mohammad S. 
Published: December 2019

Background:
Centilla asiatica L is a medicinal herb that has been widely used in folk medicine to
treat various diseases. Asiatic Acid (AA), a triterpene and a known component of this herb, has been shown to
display important biological activities, including anti-inflammatory, antibacterial, antidiabetic and antihyperlipidemic,
neuroprotective, anxiolytic and antidepressant, hepatoprotective, pancreas protective, and cardio-
protective.

Objective:
This review focuses on AA’s anti-cancer effects on the basis of published literature found in a number
of databases such as PubMed and Science Direct. Emphasis has been given to the mechanisms of action of
its anti-cancer effect.

Methods:
A literature survey was conducted using known databases such as PubMed and Science Direct using
the keywords ‘Asiatic acid’, pairing with ‘cancer’, ‘tumor’, ‘anti-cancer effect’, ‘cytotoxic effect’, ‘anti-tumor
activity’, ‘cell line’, ‘animal cancer’, and ‘human cancer’.

Results:
Findings suggest that AA exerts anti-cancer effects in several test systems through various pathways,
including oxidative/antioxidant, anti-inflammatory, cytotoxicity, apoptotic cell death, necrosis, anti-angiogenesis,
inhibition of proliferation and cell migration, and chemoprevention.

Conclusions:
AA may be an effective plant-based cancer chemotherapeutic agent and a promising lead for the
development of potent anticancer drugs.
Subtractive Proteome Mining Approach towards Unique Putative Drug Targets Identification for Salmonella typhimurium
Authors: Iftikhar Rabia , Rizwan Muhammad , Khan Sajid , Mehmood Azhar , Munir Anum 
Published: December 2019

Background:
Salmonella typhimurium is a rod-shaped bacteria with a Gram-negative
genus, belonging to the Enterobacteriaceae family of microbes, which invades the intestinal lumen
of Human. Salmonella typhimurium is a root source, accounting for gastroenteritis in humans as
well as in other mammals. Gastroenteritisis associated with Salmonella Typhimurium interacts
with the contaminated food and water and spreads to nearby people in the area. Small intestine is
attacked by Salmonella, which then enter into the bloodstream momentarily, and are responsible
for millions of mortalities and morbidities around the globe. Salmonella typhimurium toxins cause
gastrointestiritis due to inflammation in the stomach and intestine in infants and young children. It
accounts for millions of deaths with a higher incidence rate in developing countries.

Methods: :
In the current research, subtractive proteome mining has been done to recognize putative
drug targets. The proteome was analyzed through blast in order to exclude homologous proteins.
Bacterial essential proteins were predicted and the participation of the essential genes in the
metabolic pathways has been analyzed.

Results: :
36 essential genes and 15 unique pathways have been identified as potential drug targets
among the total of 1934 proteins. The location of proteins is determined as an outer membrane. 3
proteins out of 36 essential proteins are recognized as putative drug targets.

Conclusion::
In the future, virtual screening for the evaluation of novel clinical compounds for the
identified proteins will be effective and valuable for Salmonella Typhimurium infection in Homo
sapiens.
Recent Researches and Technologies on Software Reliability Evaluation
Authors: Li Yingchun , Gao Kaiye , Peng Rui 
Published: December 2019

Background:
With the rapid development of computer and Internet technologies, the
measurement of software reliability has become a key point. Software reliability modeling is an important
way to measure software reliability. However, there are many disadvantages in the classic
model. Therefore, this paper reviews current researches in software reliability and discusses ways to
improve the model from a new perspective.

Objective:
This paper reviews the current researches on software reliability, analyzes the existing
patented technology, and points out some future directions to improve the current models to provide
a more accurate and efficient way for software reliability measurement.

Methods:
This study introduces the general methods of software reliability evaluation, analyzes the
disadvantages of these methods in practical application, draws lessons from the patent, and puts
forward some new ideas to solve the problems.

Results:
Disadvantages of current researches are identified based on literature review. In addition,
two suggestions are given to improve the current models.

Conclusion:
Although the software reliability has made great progress, there are still many things to
be studied in the future. The problems of software reliability in real life should be gradually solved.
Design of Intelligent Embedded Data Acquisition and Storage System for Coal Mill Based on DSP
Authors: Shen Hai 
Published: December 2019

Background:
In order to better realize the real-time on-line monitoring of the working
state of the coal mill and determine the status of the equipment used in the coal mill, the intelligent
embedded system of the coal mill based on DSP was studied.

Methods:
Firstly, the working requirement of the coal mill and the task of data acquisition system
have been briefly introduced, and the requirement of the overall embedded system design has been
put forward. Then, the structure design was analysed including both hardware and software, and
the embedded system design including digital signal processing, and data acquisition was completed.
All patents related to intelligent embedded data acquisition and storage system are described in
detail.

Results:
After that, the function test of the actual coal mill embedded system was carried out,
which proved the practicability and reliability of the designed embedded system for coal mill and
based on DSP.

Conclusion:
The embedded system improves the automation level of coal mill, and is of great significance
to the on-line monitoring and research of large-scale machinery and equipment in the future.
Pharmaceutical Co-Crystals - Design, Development and Applications
Authors: Anand Rachna , Kumar Arun , Nanda Arun 
Published: December 2019

Background:
Solubility and dissolution profile are the major factors which directly affect
the biological activity of a drug and these factors are governed by the physicochemical properties of the
drug. Crystal engineering is a newer and promising approach to improve physicochemical characteristics
of a drug without any change in its pharmacological action through a selection of a wide range of
easily available crystal formers.

Objective:
The goal of this review is to summarize the importance of crystal engineering in improving
the physicochemical properties of a drug, methods of design, development, and applications of cocrystals
along with future trends in research of pharmaceutical co-crystals. Co-crystallization can also
be carried out for the molecules which lack ionizable functional groups, unlike salts which require ionizable
groups.

Conclusion:
Co-crystals is an interesting and promising research area amongst pharmaceutical scientists
to fine-tune the physicochemical properties of drug materials. Co-crystallization can be a tool to
increase the lifecycle of an older drug molecule. Crystal engineering carries the potential of being an
advantageous technique than any other approach used in the pharmaceutical industry. Crystal engineering
offers a plethora of biopharmaceutical and physicochemical enhancements to a drug molecule
without the need of any pharmacological change in the drug.
Link Reliable On-Demand Multipath Distance Vector Routing for Reliable Video Streaming in MANET
Authors: Periyasamy Pitchaipillai 
Published: December 2019

Background:
Due to the generic feature of AOMDV, it is widely used in Long-Term
Evolution (LTE) networks such as the Internet which requires new challenges to deploy conversational
real-time applications like VoIP (Voice over IP) and video conferencing.

Objective:
In AOMDV, the multiple routes between any source and destination pair are selected
based on minimal hop count which does not ensure reliable video content delivery as the communicating
nodes along the paths are prone to link failures and route breaks.

Methods:
To overcome such problems, the Link Reliable On-demand Multipath Distance Vector
(LROMDV) is proposed by modifying the Ad hoc On-demand Multipath Distance Vector
(AOMDV).

Results:
The LROMDV uses an enhanced Cumulative Expected Transmission Count (enh-CETX)
for selecting multiple routes between any source and destination pair to avoid link failures and
route breaks in Long-Term Evolution (LTE) networks.

Conclusion:
The performance of LROMDV on H.264/MPEG-4 AVC video streaming under
both Distributed Coordination Function (DCF) and Enhanced Distributed Coordination Function
(EDCF) using NS2.34 and Enhanced EvalVid framework is evaluated and the simulation result
shows the effectiveness of LROMDV.
Evolutionary Intelligent Data Warehousing Approach to Knowledge Discovery Systems: Dynamic Cubing
Authors: Kaur Harkiran , Singh Kawaljeet , Kaur Tejinder 
Published: December 2019

Background:
Numerous E – Migrants databases assist the migrants to locate their peers
in various countries; hence contributing largely in communication of migrants, staying overseas.
Presently, these traditional E – Migrants databases face the issues of non – scalability, difficult
search mechanisms and burdensome information update routines. Furthermore, analysis of migrants’
profiles in these databases has remained unhandled till date and hence do not generate any
knowledge.

Objective:
To design and develop an efficient and multidimensional knowledge discovery framework
for E - Migrants databases.

Methods:
In the proposed technique, results of complex calculations related to most probable On-Line
Analytical Processing operations required by end users, are stored in the form of Decision Trees, at the
pre- processing stage of data analysis. While browsing the Cube, these pre-computed results are called;
thus offering Dynamic Cubing feature to end users at runtime. This data-tuning step reduces the query
processing time and increases efficiency of required data warehouse operations.

Results:
Experiments conducted with Data Warehouse of around 1000 migrants’ profiles confirm
the knowledge discovery power of this proposal. Using the proposed methodology, authors have
designed a framework efficient enough to incorporate the amendments made in the E – Migrants
Data Warehouse systems on regular intervals, which was totally missing in the traditional E – Migrants
databases.

Conclusion:
The proposed methodology facilitate migrants to generate dynamic knowledge and
visualize it in the form of dynamic cubes. Applying Business Intelligence mechanisms, blending it
with tuned OLAP operations, the authors have managed to transform traditional datasets into intelligent
migrants Data Warehouse.
A Survey of Load Balancing and Implementation of Clustering-Based Approach for Clouds
Authors: Sharma Anju , Pandey Rohit , Singh Simar P. , Kumar Rajesh 
Published: December 2019

Background:
Generally, it is observed that there is not a single algorithm that classifies
the task using Quality of Service (QoS) parameters requested by the task but instead focuses on classifying
resources and balancing the task's using the availability of resources. In past literature, authors
divided the load balancing solutions in three main parts workload estimation, decision making, task
transferring. Workload estimation deals with identifying requirements for the incoming tasks on the
system. Decision making is done to analyze that whether or not load balancing should be performed for
the given node. If the decision for load balancing has been made then third step deals with transferring
task to appropriate node to reach a saturation point where the system will be in the stable state.

Objective:
To address this issue, our approach is more focused upon on workload estimation and its
main objective is to cluster the incoming heterogeneous task into generic groups. Another issue for
this approach is that the client demand varies for the number of tasks. Thus, some attributes may be
much more critical to a user then the others and this demand changes from user to user.

Methods:
This paper classify the tasks using QoS parameters and focused on work-load estimation.
The main objective is to cluster the incoming heterogeneous task into generic groups. For this, KMedoid
based clustering approach for cloud computing is devised and implemented. This approach
is then compared with its different iterations to analyses the workload execution more deeply.

Results:
The analysis of our approach is computed using cloudsim simulator. Results and computations
shows that the data is very uneven in initial times, as some clusters have only four elements
and others are having much more elements. Whereas after the 20th iteration data observed is more
normally balanced, so the clusters formed after 20th iteration were more stable than clusters formed
initially i.e. 1st iteration. The number of iterations is also minimized to do unnecessary clustering as
after a few steps the changes in medoids are very less.

Conclusion:
A brief survey of various load balancing techniques in cloud computing is discussed. These approaches are meta-heuristic in nature and have complex behavior and can be implemented in cloud computing. In our paper, K-Medoid based clustering approach for identifying the task into similar groups has also been implemented. Implementation is done on cloudsim simulation package provided by Cloud Labs, which is a java based open source package. The results obtained in our approach are limited to classification of tasks into various clusters. It would also useful where new task arrives and simply assign it to a VM that was created for some other element of that class. In future, this work can be expanded to create an effective clustering based model for load balancing.
Efektifitas perlakuan awal Tretinoin 0,1% Topikal pada Proses Penyembuhan di Luka Insisi pada Mencit (Mus musculus)
Authors: Saputro Iswinarno Doso , Palupi Hesty Aulia , Yuniarti Wiwik Misaco 
Published: December 2019

Tretinoin has an important role in wound healing process include improve fibroplasia and collagen synthesis, maintening humoral immunity, and neutralize steroid effect.Epithelization and fibroblast proliferation were very important event in wound healing process. The aims of this study were studying epithelization and fibroblas proliferation on incision wound healing process using pre treatment of Tretinoin 0,1% topically on mice. This research used 24 male mice, 3 month of age, with 150 -180 gram of body weight. The mice were divided into 2 groups, control group (K) and treatment group (P). The control group was a group of mice with an incision wound, while the treatment group was a group of mice with an incision wound that received a pretreatment of Tretionin of 0.1% topically. Each group was divided into 2 sub groups K4, K7, P4, P7 based on time of samples collecting. K4 and P4 were examined at day 4, while K7 and P7 were examined at day 7. Epithelialization was observed by measuring the length of the epithelial incision area, whereas fibroblast proliferation was performed by counting the number of fibroblasts in five field of view on histopathologic skin preparations processed by HE staining.In this study,pretreatment of Tretinoin 0,1% topically can increase epithelialization and number of fibroblast significantly (p<0,05).This increase may be due to 1% Tretinoin in the tissues to induce keratinocyte basal proliferation including its migration to the skin surface via retinoic acid receptors ( RARδ)Pretreatment of Tretinoin 0,1% topically can increased epithelialization and number of fibroblast on incision wound healing process of albino rats
Performa Produksi dan Analisis Usaha Puyuh (Coturnix coturnix japonica) yang diberi Substitusi Black Soldier Fly Larvae (BSFL) pada Pakan Komersil
Authors: Hanifah Fithria Nisa , Soepranianondo Koesnoto , Soeharsono Soeharsono , Arif Anam Al , Lokapirnasari Widya Paramita , Harijani Nenny , Hadijah Siti , Hutabarat Mariana Ruth Theresia 
Published: December 2019

Black Soldier Fly Larvae (BSFL) is an alternative protein source for livestock. This research aimed to know the effectiveness of BSFL for commercial feed substitution, related to production, productivity, and profitability in quail farm. This study used 80 quails which divided into 4 groups and each group consist of 20 quails. The treatments contained BSFL substitution with different composition, control group (P0) was given 100% commercial feed, (P1) was given a 5% BSFL substitution, (P2) was given a 10% BSFL substitution and (P3) was given a 20% BSFL substitution. Contribution margin (CM) analysis was used to determine the yields of the groups in this study. Results showed that the highest feed consumption rate is in P3, production (egg in total and weight), productivity and yields in P3 is the highest, although there's no difference between P0, P2 and P3 based on the analysis MANOVA. BSFL substitution at 20% is recommended to the farmers to increase profits.
Efisiensi Protein Ayam Broiler yang Diberi Ampas Tahu Fermentasi dengan Saccharomyces cerevisiae (Protein Efficiency of Broiler Chicken Fed fermented Waste Tofu with Saccharomyces cerevisiae)
Authors: NURHAYATI Nurhayati , Berliana Berliana , Nelwida Nelwida 
Published: December 2019

Tujuan dari penelitian ini adalah untuk mengevaluasi pertambahan bobot badan dan efisiensi penggunaan protein pada ayam broiler yang diberi pakan mengandung ampas tahu hasil fermentasi menggunakan Saccaromyces cerevisae. Ampas tahu difermentasi menggunakan Saccharomyces cerevisiae sebanyak 2 % dengan lama waktu fermentasi 72 jam. Setelah dipanen dianalisa kandungan nutrisinya dan diberikan pada ayam broiler sebanyak 200 ekor selama 5 minggu pemeliharaan. Rancangan yang digunakan adalah Rancangan Acak Lengkap (RAL) dengan 5 perlakuan dengan 4 ulangan. Perlakuannya yaitu P0= Pakan komersil (kontrol), P1 = Pakan komersil + 10 % ampas tahu fermentasi, P2 = Pakan komersil + 20% ampas tahu fermentasi, P3 = Pakan komersil + 30% ampas tahu dan P4 = Pakan komersil + 40% ampas tahu fermentasi. Peubah yang diamati adalah konsumsi ransum, konsumsi protein, dan efisiensi penggunaan protein. Data yang diperoleh di analisis ragam dan pengaruh perlakuan terhadap peubah yang diamati diuji dengan uji Jarak Berganda Duncan. Hasil analisis ragam menunjukkan bahwa penggunaan ampas tahu hasil fermentasi dengan Saccharomyces cerevisiae sampai level 20% tidak berbeda nyata (P>0.05) dengan kontrol, tetapi semakin tinggi penggunaannya (>20%) dalam pakan nyata (P<0.05) menurunkan konsumsi pakan, konsumsi proein. Dari hasil tersebut dapat disimpulkan bahwa penggunaan ampas tahu fermentasi dalam pakan broiler dapat digunakan sampai 20% untuk memperbaiki efisiensi penggunaan protein.