bluuebunny/crossref_metadata_2025_split huggingface dataset:
Análisis espacial de la correlación entre variables implicadas en la incidencia de siniestros de tránsito tipo atropellamiento en la ciudad de Toluca, México, mediante ols, gwr y kde.
Authors: Hinojosa Reyes Raquel 
Published: June 2022

En este artículo se analiza la relación entre factores del entorno urbano (intersecciones viales, distribución de las actividades económicas y condiciones socio económicas de la población) y la incidencia de siniestros de tránsito tipo atropellamiento en Toluca. La metodología utilizada es a través del análisis espacial con base en modelos lineales Ordinary Least Squares (OLS), Geographically Weighted Regression (GWR) y Kernel Density Estimation (KDE). La base de datos de siniestros se obtuvo de la Dirección de Seguridad y Tránsito de Toluca (2000-2005) y el marco geoestadístico (INEGI, 2010). Los resultados muestran que las características del entorno local tienen una poderosa influencia en las víctimas de peatones, dado que, la evidencia empírica apunta a que la incidencia de atropellamientos es mayor en zonas con alta densidad de empleo (comercial, servicios e industrial) y las intersecciones de vialidades de primer y segundo orden. Los resultados son de suma utilidad para el mejoramiento en las políticas de infraestructura peatonal urbana.
Pengenalan dan Edukasi Penyakit Kusta (Morbus Hansen) di RSUD Manambae, Sumbawa Besar
Authors: A.A.A Niti Wedayani , Hidajat Dedianto , Ramdhani Dini 
Published: June 2022

Background: Morbus Hansen (Leprosy) is a skin health problem that is still often found in the people of West Nusa Tenggara. Leprosy is caused by various factors, including personal hygiene, water conditions, and nutrition. In addition to being infected by Micobacterium Leprae itself, hygiene factors and initial therapy will determine the success of treatment and the prognosis of the disease which will then affect the health and quality of life of the community. In the research that has been done, it is said that leprosy in Indonesian society, especially Nusa Tenggara, is still very large, even many people do not know about the disease and come with a certain level of severity.
Situation Analysis: Health workers play an important role in disseminating knowledge of leprosy (Morbus Hansen) which has begun to appear at a certain level of severity, which can affect the quality of life of sufferers. Through this educational activity, it is hoped that there will be an increase in public knowledge about early detection of leprosy which may appear with an already poor prognosis and complications that affect the success of further therapy.
Approach Method: The approach steps taken in this program consist of counseling the general public regarding the early detection of leprosy (Morbus Hansen) in the Sumbawa community at the Manambae Hospital.
Results and Conclusions: Of the 20 questionnaires distributed, only 3 got a score of 75 and 17 others got a score below 50. After education was done in the form of watching videos simultaneously and reassessment 15 people got a score above 50 and 5 people got a score below 50 Visitors who are skin and sex polyclinic and general poly at Manambae Hospital have very little knowledge about Morbus Hansen, this can be seen from the results of filling out questionnaires before being given education. There is a very significant comparison between scores before being given education and after being given education. In medical principles prevention is better than cure, so it is important to conduct education with the aim of preventing disease.
Penanggulangan Pandemi Covid 19 Untuk Mengurangi Penyebaran di Desa Korleko Kecamatan Labuhan Haji, Lombok Timur Tahun 2021/2022
Authors: Riyan Fenando  , Lisa Apriara  , Novita Indah Sari  , Erwin Saputraji  , Dita Miranti  , Muhammad Holid  , Endang Komalasari  , Eka Satria Gunawan  , Septina Putri Indah Sari  , Fahruddin  
Published: June 2022

Universitas Mataram (UNRAM) menjadikan KKN sebagai bagian dari kegiatan intrakurikuler wajib bagi seluruh mahasiswa program S1. Sebagai bentuk pendidikan, KKN menjadi suatu cara dalam memberikan pengalaman belajar pada mahasiswa untuk hidup di tengah-tengah masyarakat dan secara langsung mengidentifikasi masalah serta menangani permasalahan yang dihadapi di suatu desa. Berdasarkan hal tersebut, kelompok Kuliah Kerja Nyata (KKN) Semester Ganjil Tahun 2021 Universitas Mataram di Desa Korleko, Kecamatan Labuhan Haji, Kabupaten Lombok Timur.
Kuliah Kerja Nyata (KKN) Kabupaten Lombok Timur dengan judul Penanggulangan Pandemi Covid 19 Untuk Mengurangi Penyebaran Di Didesa Korleko, KKN Tematik merupakan program yang diadakan setiap tahun di Universitas Mataram. Salah satu KKN Tematik Unram dilaksanakan di Desa Korleko Kecamatan Labuhan Haji Kabupaten Lombok Timur. Desa Korleko adalah salah satu desa yang ada di Kecamatan Labuan Haji Kabupaten Lombok Timur. Desa Korleko dihuni oleh penduduk asli secara turun menurun dari satu generasi ke generasi berikutnya sejak ratusan tahun lalu. Jumlah penduduk Desa Korleko pada tahun 2016 yaitu sebanyak 6.765 jiwa dengan 2.894 kk. Luas wilayah Desa Korleko yaitu 942,63 ha, dengan wilayah pemukiman penduduk terletak antara 1,5 sampai 3 km dari tepi pantai (Selat Alas) ke arah Barat. Desa korleko terdiri dari 7 (tujuh) dusun/gubuk yaitu Gubuk Pande, Gubuk Masjid, Gubuk Lauk, Gubuk Pedaleman, Gubuk Timuk, Gubuk Baret dan Dasan Leko’. Pada desa tersebut dilaksanakan program kerja yang telah dibuat oleh mahasiswa dengan persetujuan Dosen Pembimbing Lapangan (DPL) berdasarkan permasalahan dan potensi yang ada di desa tersebut.
QUALIDADE PÓS-COLHEITA DE DIFERENTES ACESSOS DE INHAMES COLETADOS NOS ESTADOS DE ALAGOAS E SERGIPE
Authors: Menezes Adielma Maria de , Santos Saniel Carlos dos , Santos Neto João Paixão dos , Noronha Marissônia de Araujo , Costa João Gomes da 
Published: June 2022

O inhame (Dioscorea spp.) é uma hortaliça que produz túberas de elevada importância socioeconômica para alimentação e agricultura familiar, principalmente na região Nordeste. Algumas espécies e variedades são cultivadas comercialmente com diferentes preferências pelos consumidores. Entretanto, apesar do gênero ser reconhecido por possuir alto valor nutricional e energético pouco se sabe sobre os diferentes materiais cultivados. Assim, o presente trabalho teve como objetivo avaliar a qualidade pós-colheita de diferentes acessos de inhames (Dioscorea spp.). Os materiais vegetais foram coletados nos estados de Alagoas e Sergipe, foram posteriormente analisados quanto a composição físico-química e os dados foram submetidos a análise estatística descritiva e multivariada. Os acessos Dioscorea cayenensis e Dioscorea alata apresentaram qualidade proteica superior aos demais materiais genéticos. Ainda Dioscorea alata apresentou altos níveis de zinco, magnésio e potássio. De modo geral, pode-se concluir que os acessos provenientes do Estado de Alagoas apresentaram melhor qualidade nutricional, devido aos maiores teores de nutrientes, e ainda que há pouca variabilidade genética nos demais acessos estudados, evidenciando a necessidade de resgate desses materiais tradicionalmente utilizados nos locais de estudo e que vêm desaparecendo gradativamente.
Palavras-chave: Dioscorea spp.; qualidade nutricional; alimentação humana; diversidade genética.

Postharvest quality of different yam accessions collected
in the states of Alagoas and Sergipe, Brazil

ABSTRACT: Yam (Dioscorea spp.) is a vegetable that produces tubers of high socioeconomic importance for food and family farming, mainly in the Northeast region. Some species and varieties are grown commercially with different consumer preferences. However, despite the genus being recognized for having high nutritional and energetic value little is known about the different materials grown. Thus, the present work aimed to evaluate the postharvest quality of different accessions of yams (Dioscorea spp.). The plant materials were collected in the states of Alagoas and Sergipe, were later analyzed for their physical-chemical composition and the data were submitted to descriptive and multivariate statistical analysis. The accessions Dioscorea cayenensis and Dioscorea alata showed a higher protein quality than the other genetic materials. Dioscorea alata also presented high levels of zinc, magnesium, and potassium. In general, it can be concluded that the accessions from the state of Alagoas showed better nutritional quality, due to the higher levels of nutrients, and also that there is little genetic variability in the other accessions studied, showing the need to rescue from these materials traditionally used in the study sites and that is gradually disappearing.
Keywords: Dioscorea spp.; nutritional quality; human nutrition; genetic diversity.
Hybrid tree model for root cause analysis of wireless network fault localization
Authors: Chen Bin , Yu Li , Luo Weiyi , Wu Chizhong , Li Manyu , Tan Hai , Huang Jiajin , Wan Zhijiang 
Published: June 2022

Localizing the root cause of network faults is crucial to network operation and maintenance. Operational expenses will be saved if the root cause can be identified accurately. However, due to the complicated wireless environments and network architectures, accurate root cause localization of network falut meets the difficulties including missing data, hybrid fault behaviors, and short of well-labeled data. In this study, global and local features are constructed to make new feature representation for data sample, which can highlight the temporal characteristics and contextual information of the root cause analysis data. A hybrid tree model (HTM) ensembled by CatBoost, XGBoost and LightGBM is proposed to interpret the hybrid fault behaviors from several perspectives and discriminate different root causes. Based on the combination of global and local features, a semi-supervised training strategy is utilized to train the HTM for dealing with short of well-labeled data. The experiments are conducted on the real-world dataset from ICASSP 2022 AIOps Challenge, and the results show that the global and local feature based HTM achieves the best model performance comparing with other models. Meanwhile, our solution achieves third place in the competition leaderboard which shows the model effectiveness.
Integrated Disease Management for Vegetable Crops in Florida
Authors: Paret Mathews L. , Dufault Nick , Momol Tim , Marois Jim , Olson Steve 
Published: June 2022

Integrated Disease Management for Vegetable Crops in Florida (PP193/PP111)
Integrated Pest Management (IPM) as applied to vegetable diseases means using all the tactics available to the grower (cultural, biological, host-plant resistance, field scouting, chemical) that provide acceptable yield and quality at the least cost and are compatible with the tenets of environmental stewardship. This 6-page fact sheet was written by Mathews Paret, Nick Dufault, Tim Momol, Jim Marois, and Steve Olson, and published by the UF Department of Plant Pathology, August 2012.
http://edis.ifas.ufl.edu/pp111
Dynamic Hip Screw Technique in the Management of Trochanteric Fracture
Authors: Singh Ankit , Shekhawat Mahipal Singh , Narang Ankit 
Published: June 2022

Background: To study was conducted to find the results of dynamic hip screw in the management of trochanteric fracture
Methods: 50 Individuals >18 years, both genders who were diagnosed having a trochanteric type I and II Boyd and Griffin Stable fractures were included in the study.
Results: As per the Kyle's criteria, 40.00% showed excellent response, followed by good by 48.00% members, fair by 8.00% members. Poor results were shown by 4.00% members.
Conclusions: Dynamic hip screw is the operative treatment of choice for stable trochanteric fractures. However, studies on large sample for long time are recommended.
Keywords: Femur, Fracture, Operative
Analisis Debit Banjir dan Penelusuran Banjir di Bendungan Cipanas Kabupaten Sumedang
Authors: Qais Amalia Naufal , Permana Sulwan 
Published: June 2022

Pembangunan Bendungan Cipanas terletak di Desa Cibuluh, Kecamatan Ujungjaya, Kabupaten Sumedang serta Desa Cikawung, Kecamatan Terisi, Kabupaten Indramayu, Jawa Barat. Bendungan Cipanas ialah upaya pengelolaan sumber energi air yang sudah direncanakan oleh BBWS Cimanuk- Cisanggarung dalam rencana pengembangan sumber energi air WS Cimanuk- Cisanggarung buat menanggulangi permasalahan banjir di Daerah Pantura. Dalam mengatasi permasalahan banjir di Wilayah Pantura dibutuhkan besarnya debit inflow dan debit outflow. Metode yang digunakan untuk mengetahui berapa besar debit inflow adalah metode HSS Nakayasu dan HSS Snyder sedangkan metode yang digunakan untuk mengetahui berapa besar debit outflow adalah metode Linear Reservoir dan Level Pool Routing. Data yang dipakai dalam penelitian ini yaitu data sekunder yang didapat BBWS Cimanuk-Cisanggarung, PT. WIKA-JAKON, KSO dan PT. Raya Konsult.Penelitian ini berfokus pada debit banjir rencana untuk menghitung perencanaan dimensi pelimpah pada penelitian selanjutnya supaya debit banjir puncak tidak melimpas ke puncak Bendungan Cipanas dan penelusuran banjir rencana untuk mengetahui hubungan atas perubahan-perubahan yang terjadi baik pada debit inflow (m3/dt), volume genangan (m3/dt), dan debit outflow (m3/dt) dengan perubahan terhadap waktu. Dari hasil perhitungan yang telah dilakukan pada debit inflow menggunakan metode HSS Nakayasu pada Q1000 adalah 653.035 m3/dt dan metode HSS Snyder pada Q1000 adalah 583.106 m3/dt. Selain itu hasil dari perhitungan debit outflow dengan penelusuran banjir Q1000 metode Linear Reservoir pada HSS Nakayasu 287.99 m3/dt dan pada HSS Snyder 529.61 m3/dt. Sedangkan dengan metode Level Pool Routing pada HSS Nakayasu 38.47 m3/dt dan pada HSS Snyder mencapai 231.11 m3/dt. Berdasarkan hasil tersebut menunjukan bahwa untuk perencanaan dimensi pelimpah dari debit puncak rencana maka digunakan kala ulang Q1000 tahun dengan metode dapat digunakan untuk perhitungan debit banjir di bendungan adalah HSS Snyder. Hasil tersebut menunjukan inflow lebih besar dari outflow maka pada bendungan tersebut terjadi genangan, besarnya tergantung durasi waktu yang diperhitungkan.
Analisis Laboratorium Timbunan Tanah pada Pembangunan Jalan Alternatif Kadungora – Leles Km. 0+700 s/d 3+500 Kec. Kadungora (LPA dan LAPEN)
Authors: Rahmalina Helfina , Permana Sulwan 
Published: June 2022

Pembangunan jalan alternatif di Kabupaten Garut dapat meningkatkan potensi parawisata juga menunjang dalam sektor perhubungan untuk kesinambungan distribusi barang, orang dan jasa, selain itu dapat menguraikan kemacetan. Proses pengerjaan jalan alternatif pada Km. 3+275 s/d 3+350 terdapat pekerjaan timbunan tanah sehingga adanya pengendalian mutu dari hasil pengujian tanah. Hasil penelitian pada sample tanah timbunan memenuhi klasifikasi timbunan dengan memiliki low plasticity, berdasarkan indeks plastis merupakan tanah lanau berplastisitas rendah dengan sifat tanah agak kohesif dan potensi mengembang rendah, dari hasil pemadatan bahwa perkiraan kinerja timbunan “buruk sampai baik” serta batas cair kepadatan yang diijinkan dilapangan 8,2% sampai 21%, deskripsi tanah visual lanau dan lempung berpasir, berdasarkan CBR merupakan pasir campuran, pada klasifikasi tanah berdasarkan AASHTO merupaan kelompok A-2-4 dengan tingkat kegunaan sebagai subgrade “cukup baik hingga buruk” dan klasifikasi berdasarkan USDA untuk tekstur tanah pada tanah timbunan merupakan pasir bertanah liat yang mengandung clay 4,83 %, silt 13,5 %, gravel 0 % dengan gradasi baik dan sehingga dapat menggantikan tanah asli yang tidak memenuhi spesifikasi karena tanah asli pada lokasi merupakan tanah organis dengan kategori high plasticity, lempung murni yang berplastisitas tinggi dengan sifat tanah kohesif, potensi mengembang tinggi dan derajat mengembang kritis, dan kinerja timbunan “tidak memuaskan” dimana akan membahayakan bila dignakan sebagai material tanah timbunan dengan deskripsi tanah visual lanau dan lempung elastis, berdasarkan nilai CBR merupakan material lempung, pada hasil pengujian timbunan bahwa CBR dan pemadatan efesien untuk lapisan subgrade serta memenuhi pengujian kepadatan dilapangan.
Identifikasi dan Penilaian Risiko pada Proyek Pembangunan Stasiun Garut Cibatu
Authors: Fauzi Reva Rival , Johari Ganjar Jojon 
Published: June 2022

Manajemen risiko dapat diartikan sebagai suatu pendekatan mengenai risiko dan ketidakpastian dengan melakukan suatu identifikasi, analis dan mitigasi sebagai dasar tindakan untuk meminimalkan dampak dari risiko tersebut. Demikian juga halnya dengan proyek pembangunan Stasiun Kereta Api Garut-Cibatu ini perlu dipertimbangkan juga mengenai risiko-risiko yang akan ditimbulkan dalam perencanaan, pelaksanaan dan operasionalnya. Pada proyek pembangunan Stasiun Kereta Api Garut-Cibatu ini banyak terdapat risiko karena bangunan tersebut menggunakan alat-alat berat dan melibatkan cukup banyak sumber daya manusia yang perlu mendapatkan perhatian terutama terhindar dari risiko kecelakaan. Identifikasi risiko tahap pertama dalam kegiatan manajemen risiko dimana kita melakukan identifikasi risiko yang terdapat dalam suatu kegiatan atau proses dengan cara membagikan Kuesioner dan di olah data dengan metode AHP dan Skala Likert. Faktor utama yang menjadi prioritas dalam mempengaruhi pelaksanaan manajemen risiko proyek Stasiun Garut-Cibatu berdasarkan variabel yaitu: risiko pelaksaan konstruksi (0,222) dengan sub variabel tertinggi yaitu keamanan proyek dan sabotase proyek dengan masing-masing bobot rata-rata (0,333) dan bobot akhir (0,074).
Analisis Pengujian Kendaraan Untuk Meminimalisir Risiko Kecelakaan Lalu Lintas
Authors: Rianti Andin Mulya , Farida Ida 
Published: June 2022

Kabupaten Ciamis, Subang, dan Banjar merupakan salah satu Kabupaten yang dikategorikan sebagai kota yang rawan akan kecelakaan lalu lintas. Masyarakat sekitar sering memanfaakan transportasi sebagai penunjang ekonomi. akan tetapi dari kondisi kepadatan penduduk yang setiap tahunnya meningkat, transportasi tersebut dapat mengakibatkan kemacetan hingga kecelakaan lalu lintas. Maka dari itu dilakukan analisis pengujian kendaraan bermotor untuk meminimalisir risiko kecelakaan lalu lintas tersebut.
Penelitian ini dilakukan dengan mengggunakan metode kualitatif dnegan memanfaatkan data primer dan sekunder yang diperoleh melalui observasi, dan telaah dokumen. Setelah itu untuk membandingkan antara ketoga kota tersebut maka di analisis dengan menggunakan aplikasi SPSS versi 22, untuk mengetahui faktor yang mempengaruhi kecelakaan lalu lintas serta mengetahui kabupaten/kota mana yang paling rawan kecelakaan lalu lintas.
Berdasarkan analisa tersebut di antara ke tiga kota ang dikategorikan sebagai rawan kecelakaan lalu lintas adalah Kabupaten Subang. Dari hasil survei didapatkan beberapa penyebab kecelakaan lalu lintas di karenakan faktor kendaraan, yang disebabkan oleh rem yang tidak berfungsi serta kondisi geometrik jalan yang tidak sesuai, sedikitnya rambu-rambu lalu lintas, dan kurangnya penerangan, sehingga diperlukan upaya penanganan keselamatan lalu lintas seperti prioritas protokol jalan dari ramburambu lalu lintas dan penerangan jalan serta himbauan
Barbour, R. (2007). Doing Focus Groups. London: SAGE Publications. 174 pp. ISBN 978-0- 7619-4978-7.
Authors: Zenari Vivian 
Published: June 2022

Focus groups can be used to gather data for primary analysis or to identify areas of need as a preliminary step in research design. Rosaline Barbour’s Doing Focus Groups should be of interest to those considering the use of focus groups for their action research. This book is one of the eight-volume SAGE Qualitative Research Kit series edited by Uwe Flick, professor of qualitative research in social science and education at the Free University of Berlin. It has eleven chapters and includes a glossary, reference list, author index, and subject index. The book begins with broader conceptual topics (Chapter One is called “Introducing Focus Groups”) and grows more practical in later chapters, which are arranged in the order by which a research project would tend to unfold. The chapters are organized similarly. Each begins with an internal table of contents and a list of learning objectives. At the end of each chapter is a list of key ideas and supplementary readings relevant to that chapter. The book contains a generous number of illustrative examples from published research--often the Barbour’s own work in health research--to help elucidate chapter contents.
On the Dynamics of Sexually Transmitted Diseases Under Awareness and Treatment
Authors: Oukouomi Noutchie Suares Clovis , Mafatle Ntswaki Elizabeth , Guiem Richard , M'pika Massoukou Rodrigue Yves 
Published: June 2022

In this paper, we develop and extend the work of Jia and Qin on sexually transmitted disease models with a novel class of non-linear incidence. Awareness plays a central role both in the susceptible and the infectious classes. The Existence, uniqueness, boundedness, and positivity of solutions are systematically established. Concavity arguments and the occurrence of a vertical asymptote are essential in the proof of the existence of a unique endemic equilibrium. Conditions for the stability of all steady states are investigated. In particular, numerical simulations are performed in order to capture the asymptotic behavior of solutions.AMS Classification: 92D30, 34D23.
Application of Multi-Criteria Decision Analysis Techniques for Informing Select Agent Designation and Decision Making
Authors: Pillai Segaran P. , Fruetel Julia A. , Anderson Kevin , Levinson Rebecca , Hernandez Patricia , Heimer Brandon , Morse Stephen A. 
Published: June 2022

The Centers for Disease Control and Prevention (CDC) Select Agent Program establishes a list of biological agents and toxins that potentially threaten public health and safety, the procedures governing the possession, utilization, and transfer of those agents, and training requirements for entities working with them. Every 2 years the Program reviews the select agent list, utilizing subject matter expert (SME) assessments to rank the agents. In this study, we explore the applicability of multi-criteria decision analysis (MCDA) techniques and logic tree analysis to support the CDC Select Agent Program biennial review process, applying the approach broadly to include non-select agents to evaluate its generality. We conducted a literature search for over 70 pathogens against 15 criteria for assessing public health and bioterrorism risk and documented the findings for archiving. The most prominent data gaps were found for aerosol stability and human infectious dose by inhalation and ingestion routes. Technical review of published data and associated scoring recommendations by pathogen-specific SMEs was found to be critical for accuracy, particularly for pathogens with very few known cases, or where proxy data (e.g., from animal models or similar organisms) were used to address data gaps. Analysis of results obtained from a two-dimensional plot of weighted scores for difficulty of attack (i.e., exposure and production criteria) vs. consequences of an attack (i.e., consequence and mitigation criteria) provided greater fidelity for understanding agent placement compared to a 1-to-n ranking and was used to define a region in the upper right-hand quadrant for identifying pathogens for consideration as select agents. A sensitivity analysis varied the numerical weights attributed to various properties of the pathogens to identify potential quantitative (x and y) thresholds for classifying select agents. The results indicate while there is some clustering of agent scores to suggest thresholds, there are still pathogens that score close to any threshold, suggesting that thresholding “by eye” may not be sufficient. The sensitivity analysis indicates quantitative thresholds are plausible, and there is good agreement of the analytical results with select agent designations. A second analytical approach that applied the data using a logic tree format to rule out pathogens for consideration as select agents arrived at similar conclusions.