bluuebunny/crossref_metadata_2025_split huggingface dataset:
Biological Resolution of Virulence Genes of Salmonella Species from different Microbiomes
Authors: Popoola O.D. , Tajudeen A.O. , Adesetan T.O. , Banjo O.A. , Salisu T.F. , Coker M.O. , Balogun-Abiola H.T. , Adekola H.A. , Oyeyipo F.M. , Thomas B.T. 
Published: October 2022

The pathogenic promiscuity of virulence associated macromolecules in Salmonella infection is a key driver to their wide epidemiology and curtailing such distribution is contingent upon proper clarification of these virulence genes. This study was therefore aimed at determining the virulence genes of Salmonella species from different microbiomes. To achieve this, a total of three hundred (300) biological specimens were aseptically collected and processed for Salmonella presence using the BAM USFDA technique prior to their genotypic characterization while virulence gene detection was carried out in a primer specific polymerase chain reaction. Results obtained depict the distribution of the following Salmonella species viz; Salmonella gallinarum 19(26.39%), Salmonella heidelberg 19(26.39%), Salmonella enteritidis 18(25%) and Salmonella typhimurium 16(22.22%) while the occurrence of the virulence genes (InvA, SopE, AgfA and SpvC) were Salmonella enteritidis ( 7(38.8), 6(33.3), 9(50), 3(16.7), Salmonella typhimurium ( 5(26.3), 3(15.8), 2(10.5), 7(36.8)), Salmonella heidelberg (0(0), 8(50), 4(25), 4(25), and Salmonella gallinarum (12(63.2), 6(31.6), 2(10.5), 7(36.8)) respectively. It was however found that the different microbiomes analyzed were ubiquitously rich in virulence genes associated Salmonella species.

La promiscuité pathogène des macromolécules associées à la virulence dans l’infection à Salmonella est un facteur clé de leur large épidémiologie et la réduction de cette distribution dépend de la clarification appropriée de ces gènes de virulence. Cette étude visait donc à déterminer les gènes de virulence des espèces de Salmonella de différents microbiomes. Pour ce faire, un total de trois cents (300) échantillons biologiques ont été collectés et traités de manière aseptique pour la présence de Salmonella à l’aide de la technique BAM USFDA avant leur caractérisation génotypique tandis que la détection du gène de virulence a été effectuée dans une réaction en chaîne par polymérase spécifique à l’amorce. Les résultats obtenus décrivent la distribution des espèces de Salmonella suivantes, à savoir ; Salmonella gallinarum 19(26,39%), Salmonella heidelberg 19(26,39%), Salmonella enteritidis 18(25%) et Salmonella typhimurium 16(22,22%) alors que la présence des gènes de virulence (InvA, SopE, AgfA et SpvC) était Salmonella enteritidis ( 7(38,8), 6(33,3), 9(50), 3(16,7), Salmonella typhimurium ( 5(26,3), 3(15,8), 2(10,5), 7(36,8)), Salmonella heidelberg (0( 0), 8(50), 4(25), 4(25) et Salmonella gallinarum (12(63.2), 6(31.6), 2(10.5), 7(36.8)) respectivement. différents microbiomes analysés étaient ubiquitairement riches en gènes de virulence associés aux espèces de Salmonella
Géochimie, minéralogie et sélection altérologique des argiles alluviales de la vallée du Nyong à Akonolinga (Cameroun) en vue de leur utilisation dans la production des briques cuites
Authors: Assomo Philippe Samba , Lawou Sylvain Kouayep , Bouba Lucas , Beyala Veronique Kamgang Kabeyene 
Published: October 2022

Trois puits ont été ouverts dans la vallée du Nyong à travers lesquels les échantillons d’argiles alluviales ont été récoltés. Ces échantillons ont été soumis à l’analyse spectrométrique de rayons X et la méthode « altérologique normative » a été mise en oeuvre en vue de leur sélection dans la production des briques cuites. Les résultats obtenus montrent que la silice (SiO2) est l’élément le plus abondant suivie par l’alumine (Al2O3). Les autres éléments majeurs (TiO2, FeO3, K2O, MnO, NiO, P2O5, CaO, Cr2O3) ont des concentrations insignifiantes. Les paramètres altérologiques révèlent que l’Indice de Lixiviation Potentielle (ILP) est important contrairement au Dégré Virtuel d’Altération de la Roche (DVAR) qui est faible. Le milieu est ouvert et faiblement induré car les valeurs de l’Indice de Confinement Potentiel (ICP) et de l’Indice d’Induration Potentielle (IIP) sont faibles. L’application du protocole de selection normative aux matériaux de la vallée du Nyong, les a proscrits pour la fabrication des briques cuites. Cependant, en prenant soin de fabriquer les briques cuites avec l’argile saine (100 wt%) ou avec des faibles ajouts de sable (5, 10, 15 wt%), les résultats obtenus sont bons.
In the Nyong valley, three wells were dug from which alluvial clay samples were collected. These samples were subjected to X-ray analysis and the normative alterology” method was applied for their selection in the production of fired bricks. The results obtained show that silica (SiO2) is the most abundant element followed by alumina (Al2O3). The other major elements (TiO2, FeO3, K2O, MnO, NiO, P2O5, CaO, Cr2O3) have insignificant concentrations. The alterology parameters show that the Potential Leaching Index (PLI) is high in contrast to the Virtual Degree of Alteration of the Rock (VDA) which is low. The environment is opened and weakly indurated as the Potential Containment Index (PCI) and Potential Induration Index (PII) values are low. The application of the normative selection protocol to the Nyong Valley materials has prohibited them from being used for the manufacture of fired bricks. However, if care is taken to make the fired bricks with 100% pure clay or with small amounts of sand (5%, 10%, 15%), good results are obtained.
Meningkatkan Pendidikan Karakter Jiwa Nasionalisme Siswa Melalui Media Peta Tokoh
Authors: Widyaningsih Rina 
Published: October 2022

Rendahnya pendidikan karakter jiwa nasionalisme siswa ditunjukkan dengan banyaknya siswa yang tidak mengikuti upacara bendera karena alasan yang sederhana, banyaknya siswa yang kurang disiplin berangkat ke sekolah, penggunaan bahasa Indonesia kurang baik dan benar, kurang khidmatnya siswa dalam mengikuti upacara bendera setiap hari senin, dan lain-lain. Tujuan penelitian ini untuk mengetahui peningkatan karakter jiwa nasionalisme melalui media peta tokoh dan mengetahui tantangan pelaksanaan layanan klasikal. Penelitian ini menggunakan penelitian tindakan kelas dengan 2 siklus. Media yang digunakan disini adalah media peta tokoh yang dibuat oleh penulis. Melalui program Bimbingan dan Konseling (BK) berbasis karakter yang diberikan secara terprogram dan berkelanjutan diharapkan dapat membantu mewujudkan nilai-nilai karakter jiwa nasionalisme pada siswa SMA. Subjek penelitian ini adalah siswa kelas XII IPS 3 tahun pelajaran 2022/2023 sebanyak 35 orang siswa. Jenis data dalam penelitian ini adalah data kualitatif, sedangkan teknik analisis data penelitian dilakukan dengan analisis data kualitatif. Berdasarkan hasil pengamatan atau observasi, disimpulkan bahwa melalui media peta tokoh dapat meningkatkan pendidikan karakter jiwa nasionalisme siswa SMA Negeri 1 Blora Tahun semester gasal tahun pelajaran 2022/2023.
Peningkatan Literasi Sains Melalui Pembelajaran Fisika Berbasis STEM Terintegrasi Kearifan Lokal Menggunakan Alat Deteksi Banjir
Authors: Herawati Indah 
Published: October 2022

Penelitian Tindakan Kelas (PTK) ini bertujuan untuk mengetahui peningkatan literasi sains siswa melalui pembelajaran Fisika berbasis STEM terintegrasi kearifan lokal di SMAN 1 Seluma. Penelitian ini dilaksanakan 2 siklus pada kelas XI MIPA 4 SMAN 1 Seluma tahun pelajaran 2021/2022 yang berjumlah 35 siswa. Setiap siklus terdiri dari perencanaan, pelaksanaan, observasi, dan refleksi. Setelah dilaksanakan tindakan, ketercapaian literasi sains siswa pada aspek pengetahuan siklus I yaitu 70%, pada siklus II aspek pengetahuan 81%, aspek kompetensi pada siklus I yaitu 68% pada siklus II aspek kompetensi yaitu 85% aspek sikap sains siklus I yaitu 61%, sikap sains siklus II yaitu 77%, aspek kontek siklus I yaitu 65% dan aspek konteks siklus II yaitu 79%, Berdasarkan hasil analisis data penelitian dan pembahasannya menunjukkan bahwa pembelajaran pembelajaran Fisika berbasis STEM terintegrasi kearifan lokal dapat meningkatkan literasi sains siswa SMAN 1 Seluma.
Pengembangan Aplikasi Berbasis Android “Wonderful Nganjuk”
Authors: Dewi Santi Kusuma 
Published: October 2022

Penelitian ini bertujuan untuk mengembangkan aplikasi Bahasa Inggris berbasis Android Wonderful Nganjuk untuk peserta didik kelas XI SMKN 1 Nganjuk yang bisa diakses secara offline. Sumber belajar ini diharapkan dapat membantu peserta didik mencapai prestasi belajar keterampilan Bahasa Inggris. Aplikasi Wonderful Nganjuk ini diharapkan dapat membantu mereka memahami teks Factual Report yang dipadukan dengan budaya Nganjuk sebagai materi. Artikel ini menjelaskan bagaimana aplikasi media pembelajaran Bahasa Inggris berbasis Android Wonderful Nganjuk dapat dikembangkan guna membantu peserta didik mengatasi masalah belajar Bahasa Inggris selama masa Pandemi Covid-19. Hasil penelitian menunjukkan aktivitas peserta didik selama pembelajaran sangat baik dan seluruh peserta didik berhasil menyelesaikan pembelajaran.
Kata Kunci: pengajaran mandiri, aplikasi, offline
CHEMBEABLE (Chemistry Cube Puzzle) Media Pembelajaran Kimia Untuk Peserta Didik Berkebutuhan Khusus
Authors: Pinta Yani 
Published: October 2022

SMAS Islam Raudhatul Jannah Payakumbuh belum menjadi sekolah inklusi, namun 10% peserta didiknya berkebutuhan khusus (PDBK). PDBK tersebut diantaranya slow learner, tuna wicara, low vision dan autisme. Pelaksanaan pembelajaran di kelas masih menggunakan metode yang sama untuk semua peserta didik sehingga pembelajaran belum maksimal bagi PDBK yang berpengaruh pada proses dan hasil belajar PDBK termasuk pembelajaran kimia. Salah satu media pembelajaran kimia dalam kelas inklusi adalah Chembeable (Chemistry Cube Puzzle)/puzzle kubus sistem periodik kimia. Pembuatan media ini memanfaat 6 sisi kubus untuk menyampaikan materi dan tujuan pembelajaran sistem periodik dan kimia unsur untuk PDBK. Penelitian ini bertujuan untuk mengetahui pengaruh media Chembeable terhadap hasil belajar dan minat belajar PDBK. Penelitian ini menggunakan metode eksperimen semu (quasi experiment) dengan rancangan one group pre test-post test design. Data hasil belajar dianalisis menggunakan N-Gain dan data minat belajar dianalisis dengan persentase keterlaksanaan. Hasil penelitian didapatkan nilai N-Gain 0,78 dengan kategori tinggi dan persentase minat belajar PDBK 90 %. Artinya, media chembeable meningkatkan hasil belajar dan minat belajar kimia peserta didik berkebutuhan khusus.
Analisis Strategi Bertahan Usaha Kelompok Tani Kopi di Tengah Pandemi Covid-19: Studi Kasus Kelompok Tani Binaan koperasi Buana Mandiri
Authors: Permata Rambe Dinda Delfi , Lubis Fauzi Arif , Atika Atika 
Published: October 2022

This study aims to determine the survival strategy applied by the coffee farmer groups assisted by the Buana Mandiri cooperative in the midst of the covid-19 pandemic. The research method used is to use a descriptive descriptive qualitative methods of SWOT analysis. The results showed that the farmer groups assisted by the Buana Mandiri Cooperative did additional work and took advantage of the time apart from growing coffee by planting other crops. Based on the results of research using SWOT analysis, it was found that the farmer groups assisted by the Buana Mandiri Cooperative are in Quadrant I.. Under these conditions, the strategy that must be carried out is to support an aggressive growth policy (Growth Oriented Strategy), meaning that farmer groups are in prime condition so that it is very possible to continue to expand, achieve maximum progress, and increase growth.
Keywords: Devensive Strategy, Coffe Farmer Groups, Covid-19 Pandemic, SWOT Analysys
GuideDogNet: A Deep Learning Model for Guiding the Blind in Walking Environments
Authors: Hwang Yunseo , Yoon Taeseon , Park Kyuyong 
Published: October 2022

A guide dog is a critical companion for the blind, which enables independent travel of the blind. However, due to the costly and time-consuming training process, only 1.7% of the blind who wish to adopt a guide dog can take it. In order to alleviate this social problem, previous studies have suggested several blind guiding systems heavily based on hardware devices, such as GPS(Global Positioning System), RFID(Radio-Frequency Identification), and ultrasonic devices. However, those techniques lack administrative feasibility to use in real-world environments. Moreover, those techniques are deficient in warning of obstacles, which makes the system non-user-friendly. To guide the blind universally and provide accurate information about the obstacles without cumbersome devices, we propose a novel deep learning-based blind guiding system, GuideDogNet. The proposed system consists of an object detection network, depth prediction network, and post-processing module. To provide user-friendly outputs for the blind, we propose a rule-based post-processing module that outputs the label, direction, and distance of the obstacles by combining the results of the object detection network and the depth prediction network. We achieved an mAP of 67.8 on the AI Hub Sidewalks dataset which is publicly available. To the best of our knowledge, this is the first attempt at a deep learning-based blind guiding system.

The code will be available on https://github.com/Yunseo-Hwang/AI-GuideDog
IoT and AI Based Integrated System to Detect Crop Diseases and Deficiency of Nutrients in a Large Farm
Authors: Kar Shraman , Willert Jeffrey 
Published: October 2022

The world population is expected to increase by 2 billion by 2050. A person dies of hunger every 3.6 seconds. The UN has come up with a list of 17 goals to make the world a better place and ending hunger comes at second. A 119% increase in yield is required by 2050 to sustain life. As the amount of land cannot be increased, the only way is by increasing crop yield from the same land. Research has shown that disease and nutrient deficiency-related yield losses have cost the world 60% of global agricultural productivity. Diagnosis of the disease and nutrient deficiency in a large farm is very difficult because of the number of crops. This project, “CropMates”, aims to identify crop diseases in a vast area of farmland by first surveying the acreage using a GPS-enabled drone. The camera-fitted drone captures video and pictures of the farm while flying over the field. A deep learning algorithm is created to identify leaves from these pictures. Another deep learning-based algorithm using AlexNet architecture is trained with 38 different classes of diseases on 87,000 images of leaves to identify diseases from these leaves. An Artificial Neural Network is developed and is trained on 20,000 data points to identify nutrient deficiencies in the soil from IoT-enabled sensors put across the farm. An app is built to show the results and to recommend the type and amount of pesticide and fertilizer for optimum crop yield.
Influence of Process Innovation on the Performance of Coffee Cooperatives in Kenya
Authors: Kuguru Peter Ngibuini , Jaensson Jan-Erik , Nganga Kinyanjui 
Published: October 2022

Purpose: The purpose of this paper was to assess the influence of process innovation on the performance of coffee cooperatives in Kenya.
Methodology: A descriptive research design was applied. The target population was 525 coffee cooperative societies in Kenya registered with the Commissioner for Cooperatives and licensed by AFFA (Coffee Directorate) as at 30th of October 2016. The sample size was 227 respondents which was arrive at using stratified random sampling technique. Structured questionnaires were used to collect primary data. Descriptive statistic such as means scores and standard deviation and inferential statistics such regressions were used.
Findings: The study found that there was a positive relationship between process innovation and the performance of the coffee cooperatives (β=0.591, p=0.027). This implied that an improvement in the aspects related to process through which the firm operates relatively multiplies the performance outcomes of cooperatives in a positive manner. Investing in process innovation was found to have the largest and most significant effect compared to investing in organization, marketing and product innovations.
Recommendation: The study recommends that for prioritization purposes, coffee societies should prioritize investing in process innovations compared to other innovations, especially if there a limited budget. Policy makers should ensure a favorable environment for process innovations.
La comunicación digital en los museos de moda españoles: análisis de la presencia en las plataformas de social media
Authors: Gonzalez Liendo Julio Alexander 
Published: October 2022

El desarrollo de estrategias de comunicación digital en los museos ya no es una opción, sino más bien una obligación impuesta por las propias audiencias. Si bien, antes de la pandemia, algunas instituciones museísticas habían comenzado sus incursión en redes sociales como Facebook, Instagram y, cuando mucho, Twitter, con la llegada del COVID19, se vieron empujadas a asumir el reto de comunicarse con mayor énfasis en las plataformas de social media. Así, instituciones como el Museo Nacional El Prado se apoderó de Tiktok y, a través de vistas a espacios hasta entonces desconocidos por los usuarios, recorridos guiados por los curadores del museo, hasta experiencias en vivo, logró generar mucha conexión con sus audiencias, convirtiéndose en un punto de referencia para otros museos, tanto en España como internacionalmente. Pero ¿qué está sucediendo con los museos de moda?, ¿cómo se están comunicando? Este trabajo de investigación tiene por objeto de estudio analizar, con un enfoque cualitativo, el uso que los museos de moda en España le dan a las redes sociales Facebook, Instagram y Twitter, dentro de sus estrategias de comunicación. Luego de un recorrido por las ocho instituciones museísticas dedicadas exclusivamente a la moda, entre enero y junio de 2022, se concluye que estos museos aún no emprenden, de manera significativa, estrategias de comunicación digital acordes a la nueva realidad de la comunicación y, por ende, su impacto en las audiencias sigue siendo escaso y poco atractivo.
Preparation and Corrosion Resistance of an Al2O3/Ni Coating on 316 Stainless Steel in Molten 52MgCl2-48NaCl Chloride Salt
Authors: Wang Changxuan , Zhang Wenjiao , Wang Yanli 
Published: October 2022

In this paper, in order to improve the corrosion resistance of 316 stainless steel (316 SS) in molten chloride salt, an in situ grown Al2O3 diffusion barrier is prepared through, first, electrodepositing an inner Ni-Al/NiO composite transition layer and an outer Ni layer through double-pulse composite electroplating technique, followed by annealing at 800°C for 12 h under Ar. The obtained Al2O3/Ni composite coating is dense and shows good adherence to the substrate. Then the corrosion resistance of Al2O3/Ni composite coating in molten 52MgCl2-48NaCl (wt%) is measured through electrochemical technique and immersion tests and the corrosion mechanism is also discussed. The results show that the 316 SS is effectively protected by the Al2O3/Ni composite coating from the corrosion of molten chloride salt.
Professional and pedagogical training of future employees of the penitentiary system in the context of humanization of the execution of sentences
Authors: Куклина Лариса Владиславовна 
Published: October 2022

В статье представлен теоретический анализ проблемы педагогической подготовки будущих сотрудников УИС. Идея гуманизации исполнения наказаний показана через призму профессиональной деятельности сотрудников пенитенциарного ведомства. Автор провел анализ содержания педагогической подготовки будущих сотрудников УИС, осваивающих образовательные программы специалитета, выявил различие в самооценке готовности к профессиональной деятельности у будущих сотрудников УИС. Полученные результаты могут быть использованы для разработки направлений психологического сопровождения процесса адаптации молодых сотрудников в ходе их профессионального становления, а также как основание для внесения соответствующих корректив в педагогический процесс образовательных организаций с целью повышения качества профессиональной подготовки сотрудников УИС.
In the article the author presents a theoretical analysis of the problem of pedagogical training of future employees of the penal system. The idea of humanizing the execution of sentences is shown through the prism of the professional activities of the employees of the penitentiary department. The author analyzes the content of the pedagogical training of future employees of the penitentiary system, mastering the educational programs of a specialist, reveals the difference in self-assessment of readiness for professional practice among future employees of the penal system. The results obtained can be used to develop directions for the psychological support of the process of adaptation of the young employees in the course of their professional development, as well as the basis for making appropriate adjustments to the pedagogical process of educational organizations in order to improve the quality of professional training of the staff of the penal system.
Data assimilation for the Model for Prediction Across Scales – Atmosphere with the Joint Effort for Data assimilation Integration (JEDI-MPAS 1.0.0): EnVar implementation and evaluation
Authors: Liu Zhiquan , Snyder Chris , Guerrette Jonathan J. , Jung Byoung-Joo , Ban Junmei , Vahl Steven , Wu Yali , Trémolet Yannick , Auligné Thomas , Ménétrier Benjamin , Shlyaeva Anna , Herbener Stephen , Liu Emily , Holdaway Daniel , Johnson Benjamin T. 
Published: October 2022

Abstract. On 24 September 2021, JEDI-MPAS 1.0.0, a new data assimilation (DA) system for the Model Prediction Across Scales – Atmosphere (MPAS-A) built on the software framework
of the Joint Effort for Data assimilation Integration (JEDI) was publicly released for community use. Operating directly on the native MPAS unstructured mesh,
JEDI-MPAS capabilities include three-dimensional variational (3DVar) and ensemble–variational (EnVar) schemes as well as the ensemble of DA (EDA) technique.
On the observation side, one advanced feature in JEDI-MPAS is the full all-sky approach for satellite radiance DA with the introduction of hydrometeor analysis variables.
This paper describes the formulation and implementation of EnVar for JEDI-MPAS. JEDI-MPAS 1.0.0 is evaluated with
month-long cycling 3DEnVar experiments with a global 30–60 km dual-resolution configuration. The robustness and credible performance of JEDI-MPAS are demonstrated
by establishing a benchmark non-radiance DA experiment, then incrementally adding microwave radiances from three sources: Advanced Microwave Sounding Unit-A (AMSU-A) temperature sounding channels
in clear-sky scenes, AMSU-A window channels in all-sky scenes, and Microwave Humidity Sounder (MHS) water vapor channels in clear-sky scenes.
JEDI-MPAS 3DEnVar behaves well with a substantial and significant positive impact obtained for almost all aspects of
forecast verification when progressively adding more microwave radiance data. In particular, the day 5 forecast of the best-performing JEDI-MPAS experiment yields an
anomaly correlation coefficient (ACC) of 0.8 for 500 hPa geopotential height, a gap of roughly a half day when compared to cold-start forecasts initialized from operational
analyses of the National Centers for Environmental Prediction, whose ACC does not drop to 0.8 until a lead time of 5.5 d.
This indicates JEDI-MPAS's great potential for both research and operations.