bluuebunny/crossref_metadata_2025 huggingface dataset:
An exploration of related homoeopathic remedies and fear and over-care Bachflower remedies
Authors:   , Chauke Khazamula Osman
Published: February 2022

INTRODUCTION The research topic is, “An exploration of related homoeopathic remedies and fear and over-care Bach Flower Remedies’’. This is an exploratory, literature based study. Bach Flower Remedies (BFRs) are grouped into seven groups. The research focuses on two of the seven BFRs groups, which are, fear, and, over-care for welfare of others. There are emotional and mental themes under each of the seven Bach Flower Remedies. The mental and emotional themes of the remedies under the selected groups are used as symptoms. These symptoms are converted into rubrics, which were searched in a repertory. METHODOLOGY Computer repertory, Radar Synthesis 10 and Synergy MacRepertory were nonfunctioning at the time of data collection, so manual repertory has been used to repertorize the mental symptoms of Bach Flower Remedies (BFRs). Radar Synthesis 10 and Synergy MacRepertory 8 are some of the homoeopathic computer-repertories similar to homoeopathic repertory hardcopy books. RESULTS Homoeopathic remedies that match Bach Flower Remedies’ mental symptoms are obtained. There are similarities and differences on homoeopathic remedies that are obtained under the same mental symptoms of BFRs. CONCLUSION There are much similarities between homoeopathic and Bach Flower Remedies. Homoeopathic and Bach Flower Remedies can be prescribed together for patients as these modalities compliment each other. Homoeopathic practitioners can include Bach Flower Remedies in remedy differentials and to consider as first choice remedies for prescription.
PEMBENTUKAN KARAKTER SISWA MELALUI PENGEMBANGAN KURIKULUM MUATAN LOKAL ASWAJA
Authors: Khamid Fatkhul , Adib Hamdan
Published: February 2022

Curriculum development is something that must be done by educational institutions, especially in relation to curriculum development in an effort to form the character of students who respect each other even though they have different understandings. This study aims to determine the implementation of the Aswaja religious local content curriculum in shaping the character, constraints and supporting factors faced by teachers in implementing the curriculum. The research method used is qualitative with the type of field research. The data sources are school principals, waka curriculum and local content teachers aswaja. Data were collected using interview, observation and documentation techniques. The results of this study are first, the implementation of the Aswaja religious mulok curriculum in an effort to build the character of students based on moral intelligence in MA Nurul Islam Kriyan Aswaja learning does not refer to theory only, but also through the application of habits in madrasas, this is a conscious and continuous effort in introduce and instill the basic values ​​of Aswaja in students. second, the obstacles faced are the limited availability of textbooks, inadequate facilities and infrastructure, limited time for teachers to teach, and lack of student interest. Third, the supporting factors are the teachers and the madrasa culture with the nuances of aswaja
HUBUNGAN SOSIAL EKONOMI IBU DENGAN KELENGKAPAN IMUNISASI PADA ANAK DI WILAYAH KERJA PUSKESMAS GLUMPANG BARO KECAMATAN GLUMPANG BARO KABUPATEN PIDIE
Authors: HALIMAHTUSSAKDIAH HALIMAHTUSSAKDIAH
Published: February 2022

Pemberian imunisasi berguna untuk memberi perlindungan menyeluru terhadap penyakit-penyakit yang bernbahaya. Dengan imunisasi dasar lengkap sesuai jadwal pemberiannya, tubuh bayi dirangsang untuk memiliki kekebalan tubuh sehingga tubuh mampu melawan serangan penyaki berbahaya. Tujuan penelitian ini adalah untuk mengetahui hubungan Sosial Ekonomi Ibu Dengan Kelengkapan Imunisasi pada anak di wilayah kerja Puskesmas Glumpang Baro Kecamatan Glumpang Baro Kabupaten Pidie tahun 2018. Jenis dan rencana penelitian yang digunakan dalam penelitian ini adalah penelitian Explanatori Reseach dengan pendekatan cross sectional. Explanatori Reseach adalah survei atau penelitian untuk menjelaskan hubungan kausal antara variabelm – variable melalui penguji hipotesa. Populasi dalam penelitian ini yaitu seluruh ibu-ibu yang mempunyai anak yang membawa anaknya untuk di imunisasi pada Puskesmas Glumpang Baro berjumlah 231 orang. Berdasarkan hasil perhitungan jumlah sampel dalam penelitian ini berjumlah 146 orang ibu yang mempunyai anaak di wilayah kerja puskesmas Glumpang Baro Kabupaten Pidie Tahun 2018 adapun tehnik pengambilan sampel dalam penelitian ini menggunakan sampel random sampling yaitu pengambilan sampel secara acak sederhana. Berdasarkan hasil penelitian diperoleh hasil bahwa ada hubungan antara pendidikan dengan kelengkapan imunisasi di Wilayah Kerja Puskesmas Glumpang Baro Kabupaten Pidie (p value 0,003) dan ada hubungan antara pendapatan ibu dengan kelengkapan imunisasi di Wilayah Kerja Puskesmas Glumpang Baro Kabupaten Pidie (p value 0,011). Disarankan bagi Puskesmas Glumpang Baro agar dapat meningkatkan kualitas pelayanan kepada masyarakat, terutama dalam hal penyuluhan kesehatan tentang pentingnya pemberian imunisasi.
CAUSALES DE LA DESERCIÓN ESCOLAR EN MÉXICO, PERSPECTIVA DESDE UN ANÁLISIS DOCUMENTAL
Authors: Hernández D.  Ricardez , L. Vázquez Olán , Leija H.D. Guel
Published: February 2022

El propósito de este estudio fue identificar los factores que propician el fenómeno de la deserción en las Instituciones de Educación Superior (IES). Se realizó una investigación cualitativa (análisis documental) la cual consistió en el análisis de diversas fuentes de información con el objetivo de encontrar, organizar y analizar información relacionado con la deserción escolar a nivel superior. Los resultados obtenidos fueron: conocer el índice de deserción en las IES; identificar las asignaturas que presentan mayor índice de reprobación; conocer los factores de deserción escolar en las IES y describir las estrategias para abatir la deserción escolar en las IES. La deserción es un fenómeno multicausal, es necesario estudiarlo desde las diversas perspectivas para conocer su naturaleza.
IMPLEMENTASI METODE ANT COLONY OPTIMIZATION (ACO) UNTUK PEMILIHAN JALUR ARTERNATIF TERPENDEK KASUS KEMACETAN LALULINTAS KOTA SEMARANG TIMUR
Authors: Setiadi Teguh
Published: February 2022

Abtract The One of the problems that contributed to the worsening traffic conditions, which will be used as research material here is the problem of road narrowing on the road segment that is packed with traffic flow. The road narrowing is a part of the road with the traffic capacity condition subsequently smaller than the up stream. Such road conditions can occur for example when entering the bridge, the occurrence of an accident that causes some of the width of the road is closed, in the event of road improvements or other conditions, causing the change of vehicle travel from the free flow becomes disrupted resulting in decreased speed and increased inter density vehicle. To overcome the problems that exist in the industrial world. Ant Colony Optimization belongs to the Swarm Intelligence group, which is one type of development paradigm used to solve optimization problems where the inspiration used to solve the problem comes from insect swarm behavior or swarms. from this research study are the factors that influence the traffic congestion and the program of action plan that will be done to handle traffic congestion problem in Semarang city road especially in Semarang Timur road Mranggen Semarang. A traffic congestion problem problem with the determination of the shortest pathway using ACO (Ant Colony Optimization).
PENERAPAN KNOWLEDGE MANAGEMENT PADA PERGURUAN TINGGI (STUDI KASUS: BAGIAN ADMINISTRASI PERGURUAN TINGGI X)
Authors: Munifah Munifah , Ade Iriani
Published: February 2022

Abstract Higher Education is an education that includes Diploma, Bachelor, Master, and other programs organized by Universities based on Indonesian culture. Administrative staff play an important role in supporting academic activities in Higher Education of course in the academic administration should have a good information system, but demkian permasalhan in academic service is still common, especially when the delivery of information that sometimes different between staff one with another. This paper intends to improve the academic service by applying Knowledge Management to the administrative staff at the university so that all parties can perform their obligations in accordance with their respective obligations and get their rights as appropriate.
PERAN E-COMMERCE DAN CLOUD COMPUTING DALAM MENINGKATKAN DAYA SAING USAHA KECIL DAN MENENGAH (UKM) DI INDONESIA
Authors: Andriana Myra
Published: February 2022

Abstract Small and medium enterprises (SMEs) have the opportunity to seize the market by implementing e-commerce as an effective marketing medium. E-commerce in SMEs should serve customers well to meet customer needs and provide benefits for SMEs. SMEs face many problems and challenges in their business. Could computing can solve many problems faced by SMEs, especially in terms of cost effectiveness, security, availability and IT resources. Cloud computing is an innovation that can help many aspects of the business because of its practical and economical nature, and allows users to access information anytime and anywhere. This paper describes the benefits of e-commerce applications with cloud computing technology in SMEs. As well as providing an understanding of cloud computing itself, starting from the understanding, characteristics, and cloud computing services. This paper also presents the methodology that will be used to collect data, to see how far computing can have an influence on SME e-commerce technology in Indonesia
SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN LAPTOP MENGGUNAKAN METODE WEIGHTED PRODUCT
Authors: Rakasiwi Sindhu
Published: February 2022

Abstract The appearance of laptops of various kinds and sizes. Very good prices for domestic production and foreign production. Often people make purchases just because they are interested in the latest model or appearance and facilities without adjusting to their needs. This causes a discrepancy between the goods, functions and facilities available. Anugerah Ungaran Computer Store sells a variety of computers or laptops, but consumers in choosing a laptop that suits their needs. Resulting in the process of buying old items by consumers who want to buy a laptop directly. Using the weighted product method can produce a decision support system that can help consumers in choosing the laptop to be purchased. From the results of the validation test conducted by the expert the final prediction is 2.5, the system is declared valid. With a system that supports laptop decisions can be accessed by consumers and consumers can access themselves online.
Estimating vertical wind power density using tower observation and empirical models over varied desert steppe terrain in northern China
Authors: Zhou Shaohui , Yang Yuanjian , Gao Zhiqiu , Xi Xingya , Duan Zexia , Li Yubin
Published: February 2022

Abstract. A complex and varied terrain has a great impact on the
distribution of wind energy resources, resulting in uncertainty in
accurately assessing wind energy resources. In this study, three wind speed
distributions of kernel, Weibull, and Rayleigh type for estimating average
wind power density were first compared by using meteorological tower data
from 2018 to 2020 under varied desert steppe terrain contexts in northern
China. Then three key parameters of scale factor (c) and shape factor (k) from the Weibull model and surface roughness (z0) were investigated for estimating wind energy resource. The results show that the Weibull distribution is the most suitable wind speed distribution over that terrain. The scale factor (c) in the Weibull distribution model increases with an increase in height, exhibiting an obvious form of power function, while there were two different forms for the relationship between the shape factor (k) and height: i.e., the reciprocal of the quadratic function and the logarithmic function, respectively. The estimated roughness length
(z0) varied with the withering period, the growing period, and the lush period, which can be represented by the estimated median value in each
period. The maximum and minimum values of surface roughness length over the
whole period are 0.15 and 0.12 m, respectively. The power-law model and
the logarithmic model are used to estimate the average power density values
at six specific heights, which show greater differences in autumn and
winter, and smaller differences in spring and summer. The gradient of the
increase in average power density values with height is largest in autumn
and winter, and smallest in spring and summer. Our findings suggest that
dynamic changes in three key parameters (c, k, and z0) should be accurately considered for estimating wind energy resources under varied desert steppe terrain contexts.
The biogeographic pattern of microbial communities inhabiting terrestrial mud volcanoes across the Eurasian continent
Authors: Tu Tzu-Hsuan , Chen Li-Ling , Chiu Yi-Ping , Lin Li-Hung , Wu Li-Wei , Italiano Francesco , Shyu J. Bruce H. , Raisossadat Seyed Naser , Wang Pei-Ling
Published: February 2022

Abstract. Terrestrial mud volcanoes (MVs) represent the surface
expression of conduits tapping fluid and gas reservoirs in the deep
subsurface. Such plumbing channels provide a direct, effective means to
extract deep microbial communities fueled by geologically produced gases and
fluids. The drivers accounting for the diversity and composition of these
MV microbial communities, which are distributed over a wide geographic range, remain
elusive. This study characterized the variation in microbial communities in
15 terrestrial MVs across a distance of ∼ 10 000 km on the
Eurasian continent to test the validity of distance control and
physiochemical factors in explaining biogeographic patterns. Our analyses
yielded diverse community compositions with a total of 28 928 amplicon
sequence variances (ASVs) taxonomically assigned to 73 phyla. While no true
cosmopolitan member was found, ∼ 85 % of ASVs were confined
within a single MV. Community variance between MVs appeared to be higher and
more stochastically controlled than within MVs, generating a slope of the
distance–decay relationship exceeding those for marine seeps and MVs as well as
seawater columns. For comparison, physiochemical parameters explained 12 %
of community variance, with the chloride concentration being the most
influential factor. Overall, the apparent lack of fluid exchange renders
terrestrial MVs a patchy habitat, with microbiomes diverging stochastically
with distance and consisting of dispersal-limited colonists that are highly
adapted to the local environmental context.
Implementation of a Gaussian Markov random field sampler for forward uncertainty quantification in the Ice-sheet and Sea-level System Model v4.19
Authors: Bulthuis Kevin , Larour Eric
Published: February 2022

Abstract. Assessing the impact of uncertainties in ice-sheet models is a major and challenging issue that needs to be faced by the ice-sheet community to
provide more robust and reliable model-based projections of ice-sheet mass balance. In recent years, uncertainty quantification (UQ) has been
increasingly used to characterize and explore uncertainty in ice-sheet models and improve the robustness of their projections. A typical UQ analysis first involves the (probabilistic) characterization of the sources of uncertainty, followed by the propagation and sensitivity analysis of these
sources of uncertainty. Previous studies concerned with UQ in ice-sheet models have generally focused on the last two steps but have paid relatively
little attention to the preliminary and critical step of the characterization of uncertainty. Sources of uncertainty in ice-sheet models, like
uncertainties in ice-sheet geometry or surface mass balance, typically vary in space and potentially in time. For that reason, they are more
adequately described as spatio-(temporal) random fields, which account naturally for spatial (and temporal) correlation. As a means of improving the
characterization of the sources of uncertainties for forward UQ analysis within the Ice-sheet and Sea-level System Model (ISSM), we present in this
paper a stochastic sampler for Gaussian random fields with Matérn covariance function. The class of Matérn covariance functions provides a
flexible model able to capture statistical dependence between locations with different degrees of spatial correlation or smoothness properties. The
implementation of this stochastic sampler is based on a notable explicit link between Gaussian random fields with Matérn covariance function and
a certain stochastic partial differential equation. Discretization of this stochastic partial differential equation by the finite-element method
results in a sparse, scalable and computationally efficient representation known as a Gaussian Markov random field. In addition, spatio-temporal
samples can be generated by combining an autoregressive temporal model and the Matérn field. The implementation is tested on a set of synthetic
experiments to verify that it captures the desired spatial and temporal correlations well. Finally, we illustrate the interest of this stochastic
sampler for forward UQ analysis in an application concerned with assessing the impact of various sources of uncertainties on the Pine Island
Glacier, West Antarctica. We find that larger spatial and temporal correlations lengths will both likely result in increased uncertainty in the
projections.
A new methodological framework for geophysical sensor combinations associated with machine learning algorithms to understand soil attributes
Authors: Mello Danilo César de , Veloso Gustavo Vieira , Lana Marcos Guedes de , Mello Fellipe Alcantara de Oliveira , Poppiel Raul Roberto , Cabrero Diego Ribeiro Oquendo , Di Raimo Luis Augusto Di Loreto , Schaefer Carlos Ernesto Gonçalves Reynaud , Filho Elpídio Inácio Fernandes , Leite Emilson Pereira , Demattê José Alexandre Melo
Published: February 2022

Abstract. Geophysical sensors combined with machine learning
algorithms were used to understand the pedosphere system and landscape
processes and to model soil attributes. In this research, we used parent
material, terrain attributes, and data from geophysical sensors in different
combinations to test and compare different and novel machine learning
algorithms to model soil attributes. We also analyzed the importance of
pedoenvironmental variables in predictive models. For that, we collected
soil physicochemical and geophysical data (gamma-ray emission from uranium,
thorium, and potassium; magnetic susceptibility and apparent electric
conductivity) by three sensors (gamma-ray spectrometer, RS 230;
susceptibilimeter KT10, Terraplus; and conductivimeter, EM38 Geonics) at
75 points and analyzed the data. The models with the best performance
(R2 0.48, 0.36, 0.44, 0.36, 0.25, and 0.31) varied for clay, sand,
Fe2O3, TiO2, SiO2, and cation exchange capacity
prediction, respectively. Modeling with the selection of covariates at three
phases (variance close to zero, removal by correction, and removal by
importance) was adequate to increase the parsimony. The results were
validated using the method “nested leave-one-out cross-validation”. The
prediction of soil attributes by machine learning algorithms yielded
adequate values for field-collected data, without any sample preparation,
for most of the tested predictors (R2 values ranging from 0.20 to
0.50). Also, the use of four regression algorithms proved to be important
since at least one of the predictors used one of the tested algorithms. The
performance values of the best algorithms for each predictor were higher
than those obtained with the use of a mean value for the entire area
comparing the values of root mean square error (RMSE) and mean absolute
error (MAE). The best combination of sensors that reached the highest model
performance was that of the gamma-ray spectrometer and the
susceptibilimeter. The most important variables for most
predictions were parent material,
digital elevation, standardized height, and magnetic susceptibility. We concluded that soil attributes can be efficiently modeled
by geophysical data using machine learning techniques and geophysical sensor
combinations. This approach can facilitate future soil mapping in a more
time-efficient and environmentally friendly manner.
A new large-scale suspended sediment model and its application over the United States
Authors: Li Hong-Yi , Tan Zeli , Ma Hongbo , Zhu Zhenduo , Abeshu Guta Wakbulcho , Zhu Senlin , Cohen Sagy , Zhou Tian , Xu Donghui , Leung L. Ruby
Published: February 2022

Abstract. Suspended sediment plays a vital role in the regional and global cycling of carbon and nutrients by carrying carbon and nutrients from headwaters into lowland rivers and the oceans. Sediment transport through river systems is often fundamentally modified by human activities such as reservoir management. However, a physically based representation of sediment transport is still missing in most existing Earth system models (ESMs), which are essential tools for modeling and predicting Earth system changes. Here, we introduce a multi-process river sediment module for ESMs, which
includes (1) hillslope soil erosion and sediment discharge into streams, (2) sediment transport processes through river networks, (3) reservoir operation based on the inflows from upstream areas and water demand from downstream areas, and (4) sediment trapping by reservoirs. All model parameters are estimated a priori without calibration. We apply this new sediment modeling framework to the contiguous United States and validate it against historical observations of monthly streamflow and sediment discharges at 35 river gauges. The model reasonably well captures the long-term balance and seasonal variations of suspended sediment in large river systems. Furthermore, our model results show that suspended sediment discharge in managed rivers is affected more by reservoirs' direct trapping of sediment particles than by their flow regulation. This new sediment module enables future modeling of the transportation and transformation of carbon and nutrients carried by the fine sediment along the river–ocean continuum to close the global carbon and nutrient cycles.
A modeling methodology to study the tributary-junction alluvial fan connectivity during a debris flow event
Authors: Garcés Alex , Zegers Gerardo , Cabré Albert , Aguilar Germán , Tamburrino Aldo , Montserrat Santiago
Published: February 2022

Abstract. Traditionally, interactions between tributary alluvial fans and the main river have been studied in the field and in the laboratory, giving rise to different conceptual models that explain their role in the sediment cascade. On the other hand, numerical modeling of these complex interactions is still limited because the broad debris flow transport regimes are associated with different sediment transport models. Even though sophisticated models capable of simulating many transport mechanisms simultaneously exist, they are restricted to research purposes due to their high computational cost. In this article, we propose a workflow to model the response of the Crucecita Alta alluvial fan in the Huasco Valley, located in the Atacama Desert, Chile, during an extreme storm event. Five different deposits were identified and associated with four debris flow surges for this alluvial fan. Using a commercial software application, our workflow concatenates these surges into one model. This study depicts the significance of the mechanical classification of debris flows to reproduce how an alluvial fan controls the tributary–river junction connectivity. Once our model is calibrated, we use our workflow to test if a channel is large enough to mitigate the impacts of these flows and the effects on the tributary–river junction connectivity.
Rancang Bangun Aplikasi Pengendalian Produk Tidak Sesuai Pada PT. Nissan Motor Indonesia
Authors: Saefudin Dede Firmansyah , Komalasari Yuli , Ridwan Irfan , Fitriyani Eka , Aryanti Riska
Published: February 2022

PT. Nissan Motor Indonesia merupakan salah satu perusahaan yang bergerak dibidang perakitan otomotif kendaraan roda empat. Untuk  menghasilkan kuantitas dan kualitas suatu produk terkadang muncul beberapa masalah, salah satunya adalah temuan produk yang tidak sesuai yaitu suatu kondisi yang tidak memenuhi standar atau spesifikasi yang telah ditentukan baik secara bahan baku produk atau produk yang sudah jadi kendaraan. Saat ini sistem informasi pengendalian produk tidak sesuai pada PT. Nissan Motor Indonesia secara pelaporan harian masih dikelola secara sederhana dan berdampak terhadap kecepatan dan kualitas informasi yang disampaikan, sedangkan dalam prosesnya beberapa pihak terkait membutuhkan informasi yang cepat dan akurat. Metode yang digunakan dalam penelitian ini menggunakan metode waterfall yang terdiri dari  analisis, desain, pengodean, pengujian, dan tahap pendukung, serta pengumpulan data menggunakan teknik observasi, wawancara dan studi pustaka. Hasil dari analisa menyatakan sistem yang diterapkan masih membutuhkan perbaikan untuk meminimalisir tingkat kesalahan pelaporan dan kecepatan informasi yang disampaikan. Dengan adanya sistem komputerisasi berbasis web Client Serer dan didukung penyimpanan database, sistem pengendalian produk tidak sesuai dapat membantu mempercepat proses kerja dan meningkatkan keakuratan dalam pengolahan data dan pengendalian produksi sehingga dapat digunakan sebagai sarana menentukan keputusan bagi perusahaan.

Kata kunci: Implementasi,Waterfall Model,PengendalianProduk,Aplikasi,Berbasis Website
Penerapan Metode Naïve Bayes Classifier Untuk Mendeteksi Emosi Pada Komentar Media Sosial
Authors: Junianto Erfian , Rachman Rizal
Published: February 2022

Keadaan psikologis yang dimiliki setiap orang diantaranya adalah emosi. Keadaan tersebut juga digunakan untuk membentuk hubungan atau menyampaikan pesan antara penulis dengan pembaca. Penetrasi internet yang semakin tinggi membuat gaya hidup masyarakat semakin berubah. Gaya hidup semakin terpengaruh oleh media sosial, sehingga membuat penyampaian informasi dan gagasan menjadi sangat bebas. Informasi dan gagasan tersebut selalu mengandung emosi dari penulisnya. Baik emosi marah, takut, bahagia, ataupun sedih. Pada penelitian ini akan diterapkan model text mining untuk melakukan deteksi melalui proses klasifikasi. Metode yang digunakan adalah naive bayes classifier. Sedangkan dataset yang digunakan sudah diberikan kelas oleh peneliti sebelumnya menggunakan best-worst scaling. Tantangan dari dataset ini adalah melakukan dari kalimat atau teks ke dalam 4 kategori emosi yaitu anger, fear, joy, dan sadness. Dari beberapa penelitian sebelumnya metode naive bayes classifier mampu menghasilkan akurasi yang cukup tinggi. Dengan diterapkan pada dataset emosi yang mempunyai karakter berbeda dari dataset kebanyakan, metode tersebut masih mampu memberikan kinerja yang baik dalam klasifikasi.

Kata Kunci:Text Mining, Klasifikasi, Deteksi Emosi, NaïveBayes Classifier
Perancangan Aplikasi Berbasis Desktop Dengan Microsoft Visual Basic (Studi Kasus: Aplikasi Absensi Anak Magang 1.0)
Authors: Azis Mohammad Syamsul , Hakim Lukmanul , Walim
Published: February 2022

Magang merupakan kegiatan wajib bagi mahasiswa tingkat akhir pada perkuliahan program diploma tiga. Kebijakan di lingkungan Universitas Bina Sarana Informatika, kegiatan magang dilakukan pada semester lima. Mengingat jumlah mahasiswa yang terlibat banyak dan kegiatan magang dilakukan untuk jangka waktu lama yaitu sekitar tiga sampai enam bulan maka kegiatan magang perlu dicacat dengan cermat melalui suatu aplikasi. Abang 1.0 singkatan dari Absensi Anak Magang generasi pertama. Aplikasi ini dibuat dengan Microsoft Visual Basic 6.0. Tujuan aplikasi ini adalah untuk mencatat kehadiran, kegiatan, agenda dan aktivitas-aktivitas lainnya yang dilakukan oleh mahasiswa selama magang pada suatu organisasi baik di perusahaan maupun instansi pemerintah. Metode yang digunakan untuk merancang aplikasi ini adalah dengan metode waterfall. Metode ini diawali dengan tahap analisis, desain, pengodean, pengujian dan pemeliharaan. Aplikasi Abang 1.0 telah diuji coba  pada mahasiswa magang Universitas Bina Sarana Informatika di Kampus Karawang dan Kampus Cikampek selama dua semester, hasilnya menunjukkan bahwa pelaporan aplikasi Abang 1.0 lebih efektif dan efisien daripada cara manual berbasis kertas.
Inside the Open Door: Considerations of Inclusivity Among Women Accessing an Open Door Housing Service in Canada
Authors: Brais Hannah , Maurer Katherine
Published: February 2022

The provision of shelter to individuals experiencing homelessness creates a 24/7 community of co-living in which the common denominator uniting members is lack of housing. Women of all ethnic, racial, religious, cultural backgrounds, as well as members of 2SLGBTQ+ communities, find themselves co-living in the shared and often challenging transitional space. As services have shifted to “open the door” to provide more inclusive access to services, little attention has been paid to the experiences of diverse communities within co-living spaces. Questioning the assumption that shared loss inherently binds a community of homelessness service users to a common identity, this research asks: what discourses of heterogeneity of service users emerge in descriptions from women experiencing homelessness of their trajectories through transitional housing services to stable housing? Interviews were conducted with 33 service users in a women’s transitional housing service between 2016-2018 in Montreal, Canada. Data collected over two waves of semi-structured interviews focused on service usage, homelessness histories, transitional programs experiences, and well-being, featuring 33 and 12 interviews, respectively. Qualitative thematic analysis revealed several instances of participants reflecting on the challenges and benefits of engaging with the heterogeneity of individuals in the space: reflections centered on the unsuitability of services, mental health and substance use, gender identity, as well as a sense of solidarity. In addition to an unexplored complexity associated with inclusive transitional housing user experiences, this analysis underlines a desperate need for refined perspectives on inclusive service policies.
Micro-Invasive 3D Endoscopic Mitral Valve Surgery
Authors:   Mediterranea Cardiocentro, Napoli, Italy, Maselli Daniele , Nardella Saverio ,   Mediterranea Cardiocentro, Napoli, Italy, Santise Gianluca ,   Mediterranea Cardiocentro, Napoli, Italy, Iavazzo Annarita ,   Mediterranea Cardiocentro, Napoli, Italy, Chiariello Luigi ,   Mediterranea Cardiocentro, Napoli, Italy
Published: February 2022

Since its introduction in 1995, minimally invasive mitral valve surgery (MIMVS) has been shown to be a valid alternative to conventional sternotomy and several studies have reported excellent clinical outcomes. While MIMVS is now a commonly performed procedure, it is still difficult to standardize. We proprose here a "road to safer surgery", and offer some tips and tricks that could be useful in its learning and performance, and may help surgeons minimize the risk of major complications. With the introduction of 3D vision with a 3D videothoracoscope for 4K stereoscopic acquisition, a medical LCD ultra-HD monitor and active 3D glasses, it is possible to obtain a very realistic view of the surgical field and the mitral valve anatomy, while significantly reducing the learning curve. We describe the procedure step-by-step, with details from the pre-operative phase to the end of the operation. The procedure is structured in consecutive stages: patient induction and positioning, thoracoscopic access and port placement, surgical field exposure, and operative technique.
User Evaluation of a Novel Smart Insufflator for Laparoscopic Surgery-The EVA-15
Authors:   UCD Centre for Precision Surgery, University College Dublin, Ireland, McInerney Niall , Khan Mohammad ,   Department of Surgery, Mater Misericordiae University Hospital, Dublin, Ireland, O’Malley Kiaran ,   Department of Surgery, Mater Misericordiae University Hospital, Dublin, Ireland, McCormack Orla ,   Department of Surgery, Mater Misericordiae University Hospital, Dublin, Ireland, Walsh Tom ,   Department of Surgery, Mater Misericordiae University Hospital, Dublin, Ireland, Conneely John ,   Department of Surgery, Mater Misericordiae University Hospital, Dublin, Ireland, Cahill Ronan ,   UCD Centre for Precision Surgery, University College Dublin, Ireland
Published: February 2022

Introduction: There is resurging interest in the importance of effective, nuanced insufflation and personalised pneumoperitoneal pressure-management during laparoscopy. Here, we present user-evaluation data from a regulated, prospective, multispecialty study of a new insufflator (EVA-15, Palliare, Galway, Ireland) which provides high-frequency pressure-sensing, built-in smoke evacuation with pedal activation and highly responsive, high-flow gas provision. Methods: With institutional ethics and regulatory body approval, a non-randomised, prospective clinical investigation was performed on 30 subjects undergoing laparoscopic surgery using an EVA-15 device. Cases were selected from a variety of specialties on a near-consecutive basis without specific exclusion criteria. Users (both surgeons and operating room nurses) completed a survey at case completion to capture ordinal categorical data on a 5-point Likert agreement scale (1 – Strongly disagree to 5 – Strongly agree) concerning (i) Settings and Setup Evaluations, (ii) Alarms and Displays Evaluations, (iii) Short Instruction Guide, and (iv) Insufflator Performance along with any additional feedback. Results: Operations on 30 patients (mean age 54 y, 15 males) were studied with a questionnaire completed by operating room teams after individual consent. The procedures included general (n=13), upper (n=3) and lower (n=6) gastrointestinal surgery, bariatric (n=3), hepatobiliary (n=2) urology (n=2, both robotic prostatectomy) and gynaecology (n=1) operations. In all cases, the laparoscopic component was completed capably with the use of the EVA-15 device. The insufflator evaluation score across all categories was a median of 4, demonstrating satisfactory use and performance in all regards. Conclusion: The EVA-15 is a smart insufflator system that is capable of satisfactory performance across a spectrum of cases among different specialties.
Does Retention of the Posterior Cruciate Ligament Lead to a More “Forgotten Joint” Following Total Knee Arthroplasty?
Authors:   Department of Orthopedic Surgery, NYU Langone Health, New York, NY, Bieganowski Thomas , Fiedler Benjamin ,   Department of Orthopedic Surgery, NYU Langone Health, New York, NY, Singh Vivek ,   Department of Orthopedic Surgery, NYU Langone Health, New York, NY, Karlin Elan ,   Department of Orthopedic Surgery, NYU Langone Health, New York, NY, Anil Utkarsh ,   Department of Orthopedic Surgery, NYU Langone Health, New York, NY, Rozell Joshua ,   Department of Orthopedic Surgery, NYU Langone Health, New York, NY, Schwarzkopf Ran ,   Department of Orthopedic Surgery, NYU Langone Health, New York, NY
Published: February 2022

Introduction: Posterior cruciate ligament (PCL) retention may impact a patient’s awareness of their artificial joint following primary total knee arthroplasty (pTKA) due to increased proprioception and more native knee kinematics. Therefore, the purpose of this study was to investigate whether cruciate-retaining (CR) or posterior-stabilized (PS) implants influence the Forgotten Joint Score (FJS-12) following pTKA. Methods: We retrospectively reviewed all patients who underwent pTKA with a CR or PS implant at our institute between October 2017 and March 2021. Of the 6,258 patients identified, 5,587 did not have recorded FJS-12 scores at either three months, one year, or two years postoperatively nor a Knee Injury and Osteoarthritis Outcome Score for Joint Replacement (KOOS, JR) preoperatively, three months, or one year postoperatively, and these were considered lost to follow up. Thus, a total of 671 cases were identified and subsequently stratified into two cohorts based on whether they received a CR (n=236, 35%) or PS (n=435, 65%) implant. Patients who received PS implants were further divided into constrained (CoN) and non-constrained (NCoN) liner cohorts. Multivariable linear regression analysis was used to compare patient-reported outcome (PRO) scores. Results: There were no significant differences in PRO scores between CR and PS implants at any time point. Patients in the CoN (n=74) cohort had significantly higher FJS-12 scores at one year (CoN: 56.31 + 25.34 vs NCoN: 42.24 + 27.00, p=0.001) and two years (CoN: 58.52 + 33.71 vs NCoN: 46.97 + 27.44, p=0.013) postoperatively compared to patients in the NCoN (n=361) cohort. Conclusion: Although our analysis demonstrated significant differences in FJS-12 scores at one and two years postoperatively depending upon the liner constraint, there were no significant differences in FJS-12 scores between CR and PS implants. Therefore, while retention of the PCL does not impact patient awareness of their artificial joint, the level of liner constraint may influence outcomes if the PCL is sacrificed.
Studying the Reclamation State of the Irrigated Meadow Brown Lands in Araksavan Community of Ararat Region
Authors: Eloyan A.Sh. , Barseghyan M.H. , Daveyan S.H. , Jhangiryan T.A.
Published: February 2022

Improvement of land reclamation methods and ecological state of the soils is essential for the sustainable development of agriculture in Armenia. The aim of the current work is to study the chemical composition of the irrigated meadowbrown soils with an area of 25 hectares in the village of Araksavan.
The results of the study showed that this land plot is not homogeneous in chemical composition. The studied soils are saline and alkaline, and without any chemical reclamation it is impossible to use them in agriculture. Thus, it is recommended to conduct chemical reclamation activities in the mentioned land area.
Membangun Literasi Budaya Lokal Kepada Generasi Z Melalui Tradisi Weh-Wehan di Kecamatan Kaliwungu, Kabupaten Kendal.
Authors: Saputra Viro Dharma
Published: February 2022

Abstract The purpose of this study is to introduce the local culture in the form of the weh-wehan tradition. The tradition of welcoming the Prophet's birthday and taking place once a year attracts a lot of attention. Many of the Z generation born in the 1995-2010 range were affected by the use of smartphones to access the latest news and did not pay attention to the existing local culture. This influence is great for the threat of cultural literacy transmitted from gen X to generation Z. Aims to know the cultural literacy carried out by generation Z and the impact of this tradition on generation Z. Using descriptive qualitative and snowball sampling, as informants are local figures representing generation x by the Chair of IPNU, and Gen Z was represented by the youth leaders and students. Based on the results obtained that to build local wisdom, can invite generation z to participate together through the weh-wehan tradition which only takes place once a year in the celebration of the Birthday of the Prophet. It aims to introduce cross-cultural culture that must be held fast to the current generation z.Keywords: Cultural Literacy, Weh-wehan, Generation Z, Prophet's Birthday AbstraksiTujuan penelitian ini untuk mengenalkan budaya lokal berupa tradisi weh-wehan. Tradisi yang dilakukan menyambut maulid nabi dan berlangsung setahun sekali banyak menarik perhatian. Banyak generasi Z yang terlahir dalam rentang 1995-2010 terdampak  dari penggunaan smartphone untuk mengakses berita terkini dan tidak memperhatikan kembali budaya lokal yang ada. Pengaruh ini besar bagi terancamnya literasi budaya yang ditularkan dari gen X kepada kaum generasi Z. Bertujuan untuk mengeatahui literasi budaya yang dilakukan oleh generasi Z serta dampak tradisi ini kepada generasi Z. Menggunakan deskriptif kualitatif dan snowball sampling, sebagai informan adalah tokoh setempat mewakili generasi x oleh Ketua IPNU, serta gen Z diwakili oleh ketua karang taruna dan mahasiswa. Berdasar hasil yang didapat bahwa untuk membangun kearifan lokal, dapat mengajak generasi z untuk berpartisipasi bersama melalui tradisi weh-wehan yang hanya berlangsung setahun sekali dalam perayaan Maulid Nabi. Hal ini bertujuan untuk mengenalkan budaya lintas zaman yang harus tetap dipegang teguh hingga generasi z saat ini. Kata Kunci : Literasi Budaya, Weh-wehan, Generasi Z, Maulid Nabi
Design, Development and Characterization of Flash release wafers containing Levocetrizine hydrochloride and Montelukast sodium
Authors: Subramanian S. , Mani P.
Published: February 2022

The main objective of the current research investigation was to develop and characterize flash release wafers containing Levocetrizine hydrochloride and Montelukast sodium. The formulation of flash release wafers was done by the solvent casting method. HPMC E5 LV, HPMC E50 LV, HPMC Lab grade polymer and plasticizer like glycerol, di-butyl phthalate were screened for wafers formation. Amongst them, HPMC lab-grade as polymer basis and glycerol as plasticizer showed good smooth wafers, acceptable thickness, clear and easy to peel off from the Petri plate. There was no interaction found between drug-drug and drug-excipients by FT-IR spectral analysis and shown that the ingredients used for the formulation of wafers were highly compatible. Then the optimized flash release wafers were evaluated for main parameters like disintegration time, drug content, surface pH, thickness and percentage drug release. Batch ML-7 was found to be optimized formulation of wafers which showed the satisfactory acceptable results of drug content 99.56±1.03of Levocetrizine hydrochloride and 98.92±2.33 of Montelukast sodium, least disintegration time of about 15±0.68 seconds, surface pH was 6.78± 0.010 and percentage drug release of Levocetrizine hydrochloride and Montelukast sodium was 96% and 97.5% at 5th minute. Hence it was found that the optimized formulation ML-7 showed much faster drug release than the oral marketed immediate-release tablet formulation in a 5th minute. This depicted that the formulation containing a lower concentration of polymer and a higher concentration of superdisintegrates showed a positive effect on disintegration time and drug release.
Development and Validation of Stability Indicating RP-HPLC Method for Quantitative Estimation of Ornidazole and its Impurities in Ornidazole Injection
Authors: Babu N. Prasad , D. Ramachandran
Published: February 2022

The analysis of improved RP-HPLC method for the separation and quantification of Ornidazole and its impurities are described. Samples are analysed by means of reverse phase (RP-HPLC) using an Symmetry shield RP18, 250 x 4.6 mm, 5µm, and the mobile phase consists of phosphate buffer: methanol in the ratio of 70:30 %v/v. The flow rate is 1.0 ml/min. The column temperature was maintained at 25°C and sample temperature was maintained at ambient (25°C) and wavelength fixed at 318nm UV-detection. It is found that the method of RP-HPLC with UV-detection system for the analysis of Ornidazole impurities are straight forward and applied in qualitative and quantitative analysis. The developed LC method was validated with respect to specificity, precision, linearity, accuracy, solution stability and robustness. Validation study compared as per ICH guideline.
A study on extraction and characterization of natural red pigment from a soil isolate Serratia marcescens CN14
Authors: K Namratha , K Cinchana , Rao K V Bhaskara
Published: February 2022

Natural pigments are a brilliant alternative to artificial ones used for formulations in food, cosmetics and textile industries. Microorganisms, in particular, bacteria are an essentially obliging source for the production and extraction of biologically safe pigments. Thus, this study was aimed at isolating pigmented bacteria and extracting the pigment, characterizing it thereafter. Red pigmented bacteria isolated from a soil sample from the agricultural field of VIT, Vellore was used for the present study. The maximum growth was attained at room temperature. The bacterium was isolated and incubated for pigment production. The pigment was obtained from the pellets extracted using acetone and the purified pigment was identified by spectral analysis, TLC, HPLC and GCMS. The red color pigment, prodigiosin is considered as a potential treatment due to the activities against pathogens, the ability to control cancer can be an immunosuppressive and anti-proliferative agent. This gram-negative bacterium was identified as a Serratia marcescens strain by 16S rRNA gene sequencing. The gene sequence was submitted to NCBI as Serratia marcescens CN14 with an accession number of MT007931.
Chemical Composition and Antiproliferative and Antioxidant Activities of Essential Oil from Juniperus phoenicea L. Cupressaceae
Authors: Bajes Hana R. , Oran Sawsan A. , Bustanji Yasser K.
Published: February 2022

Being multipurpose, relatively safe, and widely favorable for consumption, interest in the essential oils of medicinal plants has been increasing. Essential oil (EO) of Juniperus phoenicea is traditionally used for treatment of several health problems such as diabetes, rheumatism, and cancer that is the second leading cause of death in Jordan. This study aims to collect and chemically analyze EO from Juniperus phoenicea L., from Jordan and to evaluate its cytotoxic and antioxidant activity against human breast cancer cells (T47D), colorectal adenocarcinoma cells (CACO2), and normal human fibroblasts (MRC5). EO was extracted by hydro-distillation and analyzed in a gas chromatograph coupled with a mass spectrometer. Cell viability was assessed using trypan blue, neutral red, and MTT assays, and antioxidant activity was evaluated using DPPH scavenging activity assay. Chemical composition analysis revealed 23 constituents in the EO, and the amount of α- pinene was the highest (69.71%). The results also revealed that the IC50 values of the viability assays were higher among normal cells compared to the human cancer cell lines, and the viability inhibition was significant at higher concentrations compared to untreated cells. Nevertheless, low antioxidant activity was observed for the oil in the DPPH scavenging activity test. To sum up, this study indicates that Jordanian Juniperus phoenicea EO, albeit unlikely to be an effective antioxidant, is optimistically potential to be utilized in breast and colon cancers treatment due to its preferential cytotoxicity against cancer cells.
Development and validation of a stability indicating UPLC method for determination of Darolutamide in its tablet formulation
Authors: Venkatesh Poojari , Kulandaivelu Umasankar , Rao GSN Koteswara , Chakravarthi Guntupalli , Reddy Alavala Rajasekhar , Rajesh Bandlamuri
Published: February 2022

Darolutamide is an orally active, second generation non-steroidal anti-androgen. The objective of this study was to develop a simple and fast stability indicating method for the determination of Darolutamide in bulk and tablets. Darolutamide was eluted on a Zorbax SB-C18 column (100X2.1mmX1.8µ) with a mobile phase of 8mM ammonium acetate, pH: 5.4: acetonitrile (66:34 v / v) in isocratic mode at a flow rate of 0.4 ml / min. The analyte was quantified using a 272 nm PDA detector. The chromatograms of darolutamide obtained with this method showed a well resolved retention time at 0.83 min of its excipients and degradation products. The area of the peak with respect to the concentration calibration curves, which were linear from 70 to 210 µg / ml, had a regression coefficient (r2) greater than 0.999. The detection limit (LOD) and the limit of quantification (LOQ) were found at 1.80 and 6.01 µg/mL respectively. Accuracy and precision have been determined and perfectly matched to the ICH standards. The study showed that the proposed UPLC method was simple, fast, robust and reproducible, which can be used for the evaluation of the purity and stability of the drug without interference from excipients or decomposition products of active pharmaceutical ingredients.