bluuebunny/crossref_metadata_2025 huggingface dataset:
Characterization and Immunogenicity of Recombinant A. flavus Uox
Modified by Co/EDTA Carbon Dots
Authors: Li Hai-Ling , Gao Xiu-Feng , Li Jing-Ji , Wan Ming-Xia , Zhang Guo-Qi , Li Yong-Sheng
Published: May 2023

Background:

Uricase (Uox) is a major drug in gout and a supplementary drug in cancer
treatment. Because allergic reactions caused by Uox limit its clinical application,10% Co/EDTA
was used to chemically modify Uox from A. flavus to reduce its immunogenicity.

Methods:

The immunogenicity of Uox and 10% Co/EDTA-Uox was examined by determining the
antibody titer and concentration of IL-2, IL-6, IL-10, and TNF-β in quail and rat serum. Moreover,
we examined the pharmacokinetics of 10% Co/EDTA-Uox in rats and acute toxicity in mice.

Results:

The concentration of UA decreased from 771.85 ± 180.99 to 299.47 ± 20.37 μmoL/L
(p<0.01) in the hyperuricemia model of quails injected by 10% Co/EDTA-Uox. Two-way immuno-
diffusion electrophoresis revealed that 10% Co/EDTA-Uox did not produce antibody, whereas
the antibody titer against Uox was 1:16. The concentrations of four cytokines in the 10%
Co/EDTA-Uox group were significantly lower than in Uox group (p < 0.01); The titer of IgG and
IgM against 10% Co/EDTA-Uox was significantly lower than that against Uox at different serum
dilutions (p < 0.0001). The pharmacokinetic data indicated that the half-life time of 10%
Co/EDTA- Uox (69.315 h) was significantly longer than that of Uox (13.4 h) (p<0.01). The tissue
section of the liver, heart, kidney, and spleen revealed no toxicity in Uox and 10% Co/EDTA- Uox
groups.

Conclusion:

10% Co/EDTA-Uox possesses little immunogenicity, a long half-life time, and a
highly efficient degradation of UA.
Effect of Scapula Focused Interventions on Pain and Disability in Neck
Pain with Mobility Deficits- Protocol for a Single Blinded Randomized
Controlled Trial
Authors: Prakash Nithin , Cleland Joshua , Harikesavan Karvannan
Published: May 2023

Background:

Neck pain with mobility deficits is a common non-specific disorder often
observed in younger individuals. The abnormal position of the scapula has also been identified as a
risk factor in individuals with neck pain and mobility deficits. Though literature exists regarding
the effects of scapular strengthening exercises, there is a lack of studies that have examined the
effects of scapular strengthening exercises in individuals with neck pain and mobility deficits. This
randomized controlled trial aims to examine the effects of scapula-focused exercises on pain and
disability in individuals with neck pain and mobility deficits.

Methods:

A single-blind (assessor-blinded) randomized controlled trial will be performed. One
hundred and eight participants will be recruited and randomly assigned into two groups. The
intervention group will receive scapula-focused exercises, and the control group will receive neckspecific
exercises. Both groups will receive supervised sessions 3 days per week for 6 weeks and
unsupervised sessions for the remaining weeks. Disability, pain, range of motion, pain pressure
threshold, muscle strength, EMG activity, and sensory-motor functions will be assessed at the
baseline, the 6th week, and the 12th week.

Result:

This study aims to provide the effectiveness of scapular-focused exercises and its effect on
neck pain with mobility deficits.

Conclusion:

Analyzing the results can provide insight into how effective scapular-focused
exercises are when compared to neck exercises.

Clinical Trial Registration Number:

The trial is registered with CTRI India- with clinical trial
registration number CTRI/2021/10/037543.
Extension of PIV methods
Authors: Pisarek J.
Published: May 2023

Abstract. The process of the measurement of the fluid speed by use of PIV method consists most often of several stages: the insertion of the fluid markers of movement, the stimulation of these markers to lucency, the registration of the image of markers, the quantitative analysis of registered images for the purpose of finding the parameters of their movement. Every one of these stages can be realized in many ways. This creates the possibility of adjustment of the measuring-process to realized exploratory tasks. The present article shows possibilities existing in this area, significantly transcending the offer of producers of the measuring apparatus dominant on the market. Additionally, sources of measuring errors ignored usually in manuals of commercial equipment sets are evidenced.
Analytical, numerical and bench tests of axles in rail vehicles
Authors: Lau P.
Published: May 2023

Abstract. On the basis of experimental, analytical and numerical tests, a strength analysis of a rail vehicle axle was presented, as well as an alternative approach to this type of issue. The axle of the wheelset was tested on the experimental stand. Then, analytical calculations of the tested axis were performed in accordance with the EN 13 103-1 standard in the sections where strain gauges were located during the stand test. A numerical model was also created in a program based on the Finite Element Method. The obtained results were compared and summarized. It turned out that the results from all studies coincided, which suggests that each of the methods used is correct. None of the obtained values exceeded the permissible fatigue stresses.
How the American dollar exchange effect on foreign direct investment and trade balance?
Authors: Santanu I Gede , Wardani Kadek Dian Jati
Published: May 2023

This study aims to determine the direct and indirect effects between the variables that are the object of research, namely the US Dollar exchange rate, foreign direct investment, and the trade balance in Indonesia. The data used is secondary data for the period 2000-2019. The data analysis technique used is path analysis with the help of the SPSS 27.00 program. Based on the results of the analysis of the variable US dollar exchange rate which has a negative effect on foreign direct investment, the US dollar exchange rate has a positive effect on the trade balance and foreign direct investment does not affect the trade balance. The US Dollar exchange rate has no indirect effect on the trade balance through foreign direct investment in Indonesia from 2000-2019.
Rebranding Samosir Island As City of Foreign Tourists
Authors: Simandjorang Bonataon Maruli Timothy Vincent , Syah Robby Firman , Permatasari Citra , Azanda Siti Hanifa , Mudrawan Indra , Fahrani Novi Savarianti
Published: May 2023

Tourism contributes greatly to a developing country as one of the driving sectors of the economy. The government and the management of tourist destinations must consistently improve the quality of tourism in terms of destinations, industries, institutions, and marketing because of the scope of tourism and the movement of millions of people on indirect tourist trips. So far, foreign tourists have become familiar with tourist destinations in Bali and Lombok. However, many tourist destinations in Indonesia have not been maximally introduced, like Samosir Island at Lake Toba Region. In 2016, the Government of Indonesia envisioned making Toba become the Monaco of Asia. This article examines the factors affecting how long visitors from other countries remain when vacationing in Samosir, a popular international travel destination in Indonesia. Using 100 hundred samples of international travelers' empirical modeling is carried out using a quantitative approach through Ordinary Least Squares (OLS) and descriptive analysis. The quality of the accommodations, infrastructure, and rising travel costs contribute to longer travel time for tourists. Although it does not considerably shorten the length of stay in Samosir, rising vacation expenditures in other locations are a bonus for adventurous foreign tourists in Indonesia. Although the appeal of nature and its peace appeal to visitors from abroad, income levels do not greatly raise demand for international visitors to Samosir. As an effort, brand management is needed to improve the image of Samosir Island as the city of foreign tourists in Indonesia.
Using a Clinical Data Warehouse to Calculate and Present Key Metrics for the Radiology Department: Implementation and Performance Evaluation
Authors: Liman Leon , May Bernd , Fette Georg , Krebs Jonathan , Puppe Frank
Published: May 2023

Background

Due to the importance of radiologic examinations, such as X-rays or computed tomography scans, for many clinical diagnoses, the optimal use of the radiology department is 1 of the primary goals of many hospitals.

Objective

This study aims to calculate the key metrics of this use by creating a radiology data warehouse solution, where data from radiology information systems (RISs) can be imported and then queried using a query language as well as a graphical user interface (GUI).

Methods

Using a simple configuration file, the developed system allowed for the processing of radiology data exported from any kind of RIS into a Microsoft Excel, comma-separated value (CSV), or JavaScript Object Notation (JSON) file. These data were then imported into a clinical data warehouse. Additional values based on the radiology data were calculated during this import process by implementing 1 of several provided interfaces. Afterward, the query language and GUI of the data warehouse were used to configure and calculate reports on these data. For the most common types of requested reports, a web interface was created to view their numbers as graphics.

Results

The tool was successfully tested with the data of 4 different German hospitals from 2018 to 2021, with a total of 1,436,111 examinations. The user feedback was good, since all their queries could be answered if the available data were sufficient. The initial processing of the radiology data for using them with the clinical data warehouse took (depending on the amount of data provided by each hospital) between 7 minutes and 1 hour 11 minutes. Calculating 3 reports of different complexities on the data of each hospital was possible in 1-3 seconds for reports with up to 200 individual calculations and in up to 1.5 minutes for reports with up to 8200 individual calculations.

Conclusions

A system was developed with the main advantage of being generic concerning the export of different RISs as well as concerning the configuration of queries for various reports. The queries could be configured easily using the GUI of the data warehouse, and their results could be exported into the standard formats Excel and CSV for further processing.
Examining Patient Engagement in Chatbot Development Approaches for Healthy Lifestyle and Mental Wellness Interventions: Scoping Review
Authors: Sadasivan Chikku , Cruz Christofer , Dolgoy Naomi , Hyde Ashley , Campbell Sandra , McNeely Margaret , Stroulia Eleni , Tandon Puneeta
Published: May 2023

Background

Chatbots are growing in popularity as they offer a range of potential benefits to end users and service providers.

Objective

Our scoping review aimed to explore studies that used 2-way chatbots to support healthy eating, physical activity, and mental wellness interventions. Our objectives were to report the nontechnical (eg, unrelated to software development) approaches for chatbot development and to examine the level of patient engagement in these reported approaches.

Methods

Our team conducted a scoping review following the framework proposed by Arksey and O’Malley. Nine electronic databases were searched in July 2022. Studies were selected based on our inclusion and exclusion criteria. Data were then extracted and patient involvement was assessed.

Results

16 studies were included in this review. We report several approaches to chatbot development, assess patient involvement where possible, and reveal the limited detail available on reporting of patient involvement in the chatbot implementation process. The reported approaches for development included: collaboration with knowledge experts, co-design workshops, patient interviews, prototype testing, the Wizard of Oz (WoZ) procedure, and literature review. Reporting of patient involvement in development was limited; only 3 of the 16 included studies contained sufficient information to evaluate patient engagement using the Guidance for Reporting Involvement of Patients and Public (GRIPP2).

Conclusions

The approaches reported in this review and the identified limitations can guide the inclusion of patient engagement and the improved documentation of engagement in the chatbot development process for future health care research. Given the importance of end user involvement in chatbot development, we hope that future research will more systematically report on chatbot development and more consistently and actively engage patients in the codevelopment process.
Development of a risk assessment model for multimorbidity of diabetes, hypertension, and coronary heart disease with XGBoost in Primary Care in Shanghai, China: Retrospective Study (Preprint)
Authors: Chen Ning , Ding Yan , Zhu Wenqing , Fan Feng , Jin Hua , Chen Yanying , Liu Jing , Chen Lin , Wan Xiaoguang , Guo Jing , Yang Zaijia , Sun Lei , Shan Houqian , Yu Dehua , Shi Jianwei , Wang Zhaoxin
Published: May 2023

BACKGROUND

Multimorbidity has become an escalating health issue worldwide. Among various heterogeneous patterns of common multimorbidity, the cardiometabolic cluster is one of the most prevalent ones. Evaluating the risk of multimorbidity of the cardiometabolic pattern from the perspective of general practice has become a crucial agenda in primary care.

OBJECTIVE

The aim of this study was to develop a comprehensive risk assessment model for multimorbidities of diabetes, hypertension, and coronary heart disease of the elderly in the community based on big data in Shanghai, China.

METHODS

Retrospective data of 40,261 residents from 47 community health centers from 2017 to 2019 were extracted, including the residents' health records and health examination data, the hospital management information system data (HIS), and the imaging examination database. The machine learning algorithm, XGBoost was utilized for the construction of the comprehensive risk assessment model for multimorbidities of diabetes, hypertension, and coronary heart disease. Area under the receiver operating characteristic curve, accuracy, precision, recall, F1 Score and other indicators were used for model evaluation.

RESULTS

A total of 46 features was incorporated into the final comprehensive risk assessment model for multimorbidities of diabetes, hypertension, and coronary heart disease. The micro-average AUC value of the optimal model was 0.822. The macro average AUC value was 0.795. The weighted average AUC value was 0.784. These parameters showed a high superiority of the constructed model.

CONCLUSIONS

The comprehensive risk assessment model for multimorbidities of diabetes, hypertension, and coronary heart disease based on XGBoost integrated medical and public health data of residents in community and uncovered multidimensional risk factors from four dimensions. It is of high directive value to implement the comprehensive risk assessment in improving the corresponding health management strategies for residents with multimorbidities.
RE: Sequence variants in the CLDN14 gene associate with kidney stones and bone mineral density (Preprint)
Authors: Wu Chen-Han Wilfred , Su Ethan Tze-Yan , Hoying David , Bodner Donald , Schumacher Fredrick
Published: May 2023

UNSTRUCTURED

Previously, Thorleifsson et al. published a paper on Nature Genetics titled "Sequence variants in the CLDN14 gene associate with kidney stones and bone mineral density" which did not use standard HGVS nomenclature to report their data, causing confusion among the genetics community. In this paper, we proposed to re-represent the data complying with HGVS standards. More specifically, to report all variants using the forwards strand.
PEMETAAN POLA SUHU PERMUKAAN TUBUH KUDA MENGGUNAKAN KAMERA TERMAL INFRAMERAH
Authors: Santoso Koekoeh , Hendika Rivangga Yuda , Ulum Mokhamad Fakhrul , . Amrozi , Arif Ridi , Suprayogi Agik , Seminar Kudang Boro
Published: May 2023

Infrared thermal camera is an alternative and non-invasive method used to identify various physiological and pathological process related to body surface temperature changes.  The aim of this research was to study the body surface temperature pattern based on the observed regios. Three horses were randomly selected as animal experiments. Thermal image data was collected at 17.00 – 19.00 WIB for five days. Images were retrieved from seven regios: head, thorax, abdomen, and four lower legs. The result of horse A’s surface temperature in five days on head, thorax, abdomen, front left leg, front right leg, rear left leg, and rear right leg regios were 33.42, 33.49, 33.56, 31.30, 31.48, 31. 33.14, 31.34 °C, respectively. The resulf of horse B’s surface tempereture were 33.55, 33.65, 33.64, 31.45, 31.35, 31.53, 31.48 °C, respectively. The resulf of horse C’s surface tempereture were 33.45, 33.55, 33.60, 31.37, 31.45, 31.34, 31.42 °C, respectively. The result showed that difference on horse A’s rear left leg (p<0.05) because of inflamation. Inflamation recovery process on horse A occured on the fifth day, indicated by a drop in temperature and a change in colors on thermal image. Color noises on some images were color difference between objects and poor color saturation. Color noises on thermal images did not affect the results of temperature interpretation.
POTENSI ANESTETIKA KET-A-XYL® PADA KUCING JANTAN DOMESTIK DI YOGYAKARTA INDONESIA
Authors: Maryatmo Maria Angelica , Rosetyadewi Antasiswa Windraningtyas , Septana Aria Ika , Wijayanti Agustina Dwi
Published: May 2023

Ket-A-Xyl® (Ket-A-Xyl® 20 ml, AgroVet, Peru) merupakan sediaan anastetika jadi yang telah banyak dipasarkan di Indonesia untuk induksi anastesi pada anjing. Studi ini menguji penggunaan obat Ket-A-Xyl® untuk kastrasi pada kucing. Tujuan dari penelitian ini adalah untuk mengetahui pengaruh pemberian Ket-A-Xyl® terhadap parameter fisiologis kucing jantan domestik. Sebanyak 53 ekor kucing jantan domestik dengan berat badan berkisar 1,5 – 5,68 kg dipuasakan selama 8 jam kemudian ditimbang untuk menentukan dosis anestesi. Kucing diinjeksikan sediaan Ket-A-Xyl® secara intramuskular, kemudian diamati dan dicatat perubahan fisiologisnya. Demikian juga untuk onset dan durasi obat dicatat saat kucing memasuki stadium anestesi I hingga tahap recovery. Analisis data parameter fisiologis dilakukan menggunakan aplikasi SPSS dengan uji paired sample t-test. Kelompok yang dibandingkan dalam uji paired sample t-test tersebut adalah kelompok data fisiologis kucing pada tahap stadium III dengan tahap recovery. Hasil analisis data menunjukkan bahwa sediaan Ket-A-Xyl® menimbulkan efek yang signifikan terhadap frekuensi napas (p<0,05), tetapi tidak pada suhu dan frekuensi pulsus. Rata-rata onset dan durasi obat Ket-A-Xyl® menunjukkan waktu yang lebih singkat dibanding studi sebelumnya yang menggunakan obat atropin-ketamin-xylazin. Sediaan anastesi Ket-A-Xyl®  berpotensi  sebagai  obat anestetika yang baik  pada  kucing  domestik  karena  lebih  efisien,  onset dan durasi singkat, serta tidak menimbulkan respon fisiologis yang fatal selama penggunaannya.
Isolasi dan Identifikasi Agen Etiologi Gejala Snot pada Ayam Broiler di Kabupaten Kupang
Authors: Tangkonda Elisabet , Widi Antin Yeftanti Nugrahening , Soge Bergita
Published: May 2023

Snot adalah salah satu gejala infeksi saluran pernafasan atas pada ayam, yang biasanya ditandai oleh kesulitan bernafas, eksudat dari rongga hidung, pembengkakan sinus infraorbital, ngorok, dan bersin. Meskipun seringkali dihubungkan dengan snot, tidak semua kejadian penyakit dengan gejala snot disebabkan oleh Avibaterium paragallinarum. Penyakit unggas dengan gejala snot sulit untuk diberantas karena manajemen peternakan yang kurang baik, variasi umur unggas dalam peternakan yang sama, fluktuasi suhu, dan kelembaban yang lebih tinggi, seperti yang sering ditemui Indonesia. Penyakit unggas dengan gejala snot telah dilaporkan dari berbagai provinsi di Indonesia. Penelitian ini bertujuan untuk mengisolasi dan mengidentifikasi bakteri penyebab snot pada ayam broiler di Kabupaten Kupang. Sebanyak 4 sampel swab eksudat sinus infraorbital dan trakea dari unggas yang menunjukkan gejala khas snot diambil dari 2 peternakan broiler komersial di Kabupaten Kupang, dikultur pada agar darah dan agar coklat (disiapkan dengan 5% darah domba), dan diinkubasi pada suhu 37ºC selama 18-24 jam pada kondisi aerob dan anaerob. Sejumlah 23 isolat dimurnikan pada media nutrient agar kemudian dilanjutkan dengan untuk uji biokimia (katalase, oksidase, uji motilitas dan produksi indol) dan uji fermentasi gula. Hasil pengamatan menunjukkan, dari 23 isolat yang diuji, 17 isolat (73,91%) teridentifikasi sebagai Avibacterium paragallinarum (4 isolat), Ornithobacterium rhinotracheale (4 isolat), Pasteurella multocida (3 isolat) dan Mycoplasma sp. (6 isolat), sedangkan 6 isolat (26,09%) tidak teridentifikasi.. Dapat disimpulkan bahwa Avibacterium paragallinarum, Ornithobacterium rhinotracheale, Pasteurella multocida, dan Mycoplasma sp adalah penyebab gejala snot pada ayam broiler di Kabupaten Kupang.
Laporan Kasus Auricular Hematoma pada Singa Afrika (Panthera leo) di Taman Margasatwa Ragunan
Authors: Simarmata Maria Yohana , . Rantimah , Edwar Syafri , Mohamad Kusdiantoro
Published: May 2023

Singa afrika merupakan salah satu hewan yang dikategorikan rentan terhadap kepunahan (vulnerable) menurut IUCN. Kebun Binatang Ragunan merupakan lembaga konservasi ex-situ yang memiliki peran penting dalam upaya konservasi satwa liar. Seekor singa afrika di Taman Margasatwa Ragunan bernama Suki, berumur ± 14 tahun, betina, dilaporkan mengalami pembengkakan di telinga kanannya. Pembengkakan sudah berlangsung sekitar seminggu dan singa sering menggosokkan telinganya ke dinding kandang. Hasil pemeriksaan menunjukkan singa tersebut menderita auricular hematoma (othematoma). Perawatan pilihan adalah metode bedah dengan sayatan linier untuk menghilangkan cairan hematoma. Singa Suki diberi antibiotik, antiradang, dan multivitamin untuk perawatan pascabedah. Auricular hematoma pada singa Suki mengalami proses penyembuhan yang lambat dan sembuh setelah 47 hari pascabedah.
Karakteristik Calving Interval pada Sapi Jawa-Brebes di Kabupaten Brebes Jawa Tengah Indonesia
Authors: Budiyanto Agung , Hartanto Slamet , Prasetya Imawan Daru , Subroto Ismu , Asy'ari Zulfianto Hadratus , Sihombing Erent Sahat Timotius , Mabel Yaflet Elifelet , Orintamara Annisa Sonia , Nasir Muhammad Wildan
Published: May 2023

Sapi Jabres sebagai sumber daya genetik ternak lokal Indonesia harus dilindungi dan dilestarikan. Namun, kajian karakteristik kinerja reproduksi terutama calving interval pada sapi Jabres pada berbagai umur masih terbatas. Tujuan dari penelitian ini adalah untuk mengetahui calving interval sapi Jabres di kabupaten Brebes. Metode yang digunakan adalah survei dengan purposive sampling. Data diolah secara statistik menggunakan analisis deskriptif. Data disajikan dengan nilai rata-rata ± standar deviasi. Sampel data diambil dari catatan penampilan reproduksi dari 90 ekor sapi Jabres. Hasil analisis pada penelitian ini menunjukkan bahwa calving interval sapi Jawa Brebes di desa Pangerasan Kecamatan Bantarkawung Kabupaten Brebes pada umur 3-5 tahun sebesar 399,2±8,5 hari, umur 6-8 tahun sebesar 416,1±11,0 hari, dan umur lebih dari 9 tahun sebesar 408,0±12,6 hari. Kesimpulan penelitian ini adalah calving interval pada sapi Jabres pada semua umur cukup baik tetapi belum ideal.
Konstruksi Plasmid pET-15b dengan Gen tat Virus Penyakit Jembrana
Authors: Kusumawati Asmarani , Unsunnidhal Lalu , Budiyanto Agung , Setyawan Erif Maha Nugraha , Gustari Sri
Published: May 2023

Virus Penyakit Jembrana adalah virus yang menyebabkan jembrana pada sapi bali. Vaksin protein rekombinan dibuat dengan memasukkan DNA atau gen yang mengkode protein imunogenik ke dalam vektor ekspresi prokariotik sehingga dapat mengekspresikan protein rekombinan yang akan dijadikan vaksin. Salah satu gen struktural virus penyakit jembrana adalah gen tat yang mengekspresikan protein tat yang digunakan sebagai vaksin protein rekombinan. Tujuan dari penelitian ini adalah untuk mengkloning pET15b dengan gen tat. Konfirmasi gen pET-15b pada bakteri transforman dilakukan dengan koloni PCR, kemudian dilakukan isolasi plasmid dan dilaksanakan konfirmasi menggunakan metode PCR dengan primer untuk deteksi gen tat dan primer sekuensing untuk vektor pET15b. Hasilnya menunjukkan bahwa bakteri transforman sudah berisikan DNA rekombinan pET15b-tat yang terkonfirmasi melalui koloni PCR dengan band sebesar 179 bp, kemudian dikonfirmasi lanjut melalui PCR pada hasil isolasi plasmid dari bakteri transforman yang didapatkan band sebesar 179 bp untuk primer deteksi gen tat dan 514 bp untuk primer sekuensing pada vektor pET15b, 179 bp dan 514 bp sesuai dengan target amplikasi untuk primer deteksi dan primer sekuensing yang digunakan.
Hybrid Electric with a Smart Platform Source Modeling
Authors: Junior Zoe Tigana Mandimby , Rakotoarimanana Liva Graffin , Rafanjanirina Eulalie Odilette , Rakotomalala Minoson , Randriamanantany Zely Arivelo
Published: May 2023

This paper develops how to manage and to save electric energy produced by hybrid sources. Research focuses on the detailed hybrid system component modeling. HOMER software is used for study feasibility and RETScreen software for results validation. Smart platform automatically chooses energy sources to be used by a home electric system in prioritizing renewable energy. Multi-sources system includes photovoltaic, wind turbine and generator. Switching and control between thermal and renewable energy sources are ensured by a microcontroller. Based on electric energy need, modeling can manage various energy sources by running each source independently showing its best performance. Therefore, this research allows the chosen villages to get out of blackout stress thanks to smart platform which is able to provide high availability of electricity from a hybrid system combined with battery storage.
Graphene oxide nanoparticles and graphite microparticles on seeds germination and growth of Solanum lycopersicum seedlings
Authors: Vera-Reyes Ileana , López-García Mariana , Ruiz-Torres Norma Angélica , Méndez-Argüello Bulmaro , Lira-Saldivar Ricardo Hugo
Published: May 2023

Nanotechnology (NT) can modernize agriculture with new tools that allow better nourished and protected crops. Graphene oxide (GO) is a new kind of carbon-based nanomaterial with unique structural and physicochemical properties, which is very useful for many agricultural applications. GO, the two-dimensional carbon nanoparticles, have attracted increasing attention in the last few years because these contain large amounts of functional oxygen groups; therefore, they could be used as a fertilizer carrier to slow the release rate and improve the nutrients use efficiency, which makes this material suitable for developing new slow-release fertilizers. In this study, the application of GO nanoparticles (NPs) and graphite microparticles were compared as potential promoters of tomato seed germination and seedlings growth. Concentrations of 0, 50, 100, 200, and 500 mg L–1 were applied, using distilled water and micro-size graphite as controls. GO treatments improved root growth dose-dependently by increasing the seed vigor and showing significant differences (P ≤ 0.05) between treatments applied, increasing antioxidant enzymes activities. When using the dose of 200 mg L–1 GONPs, the radicle length was stimulated (31%) compared to the control seedlings. The graphite NPs performed better than the control in all variables; however, they were surpassed by the treatments with GONPs.
Tuberculosis Detection Using Chest X-Ray with Deep Learning and Visualization
Authors: Shirsat Amit , Kute Saniket , Haral Rahul , Patil Aishwarya , Ubale Dr. S. A.
Published: May 2023

Abstract: One of the top 10 main causes of mortality is tuberculosis (TB), a bacterial infection-related chronic lung disease. A bacteria known as Mycobacterium tuberculosis is the cause of the infectious illness tuberculosis (TB). TB must be accurately and quickly identified in order to be treated; else, it might be fatal. Chest X-rays (CXR) are frequently utilized for pulmonary TB identification and screening. Chest radiographs are evaluated for the presence of TB by skilled doctors in clinical practice. But this is a subjective and time-consuming procedure. It's important to note that CXR pictures of TB are frequently misclassified to other diseases with similar radiologic patterns, which may cause patients to receive the wrong medicine, deteriorating their health. In this work, we have detected TB reliably from the chest X-ray images using image pre-processing, data augmentation, image segmentation, and deep-learning classification techniques.
Token Generation through Cashless Transaction with RFID
Authors: Shreekumar T
Published: May 2023

Abstract: Digital transformation means the adaptation of the power of new technology to create a better experience for users. As part in the digital world our project aims to create a payment system for students inside the college. So, we have developed a payment system that enables students to pay with their ID cards inside the campus like stationary, canteens, food courts and hostellers can pay their mess bill. Our project utilizes RFID technology and Raspberry Pi to create a seamless payment experience for students using their NFC-enabled student ID cards. Students and cashier can also track their transaction in mobile application that are developed. Also, Students can easily recharge their ID cards using the mobile application. This system provides a user-friendly, efficient, and secure payment option that reduces the need for physical exchange of cash or sensitive payment information while using third party apps.
Secure Decentralized Vehicle Sharing System Using Blockchain
Authors: V Deekshith B , J Harsha H , S Hitesh B , N Jayanth , P Prof. Vanitha G
Published: May 2023

Abstract: Shared vehicles provided by car-sharing systems can help address several issues in cities, such as reducing the use of personal cars. The popularity of the Internet of Things has made it easier for people to access shared cars through simple mobile operations. However, the car-sharing system has vulnerabilities in terms of security, such as sensitive user data transmitted through public channels, which could be accessed by attackers for illegal purposes. Therefore, it's crucial to establish a secure authentication protocol. In addition, the traditional centralized car-sharing system has a single point of failure, necessitating a decentralized car-sharing scheme, which was proposed in this study using blockchain technology. This model ensures data integrity and offers a decentralized vehicle-sharing service with anonymous authentication of participating entities. The proposed car-sharing system provides mutual authentication, protects against several attacks, and was analyzed for computation and communication costs. The proposed blockchain-based decentralized car-sharing scheme has several advantages over the traditional centralized model. For example, it eliminates the need for a trusted third party. the proposed blockchain-based decentralized car-sharing scheme offers a more secure and efficient approach to car-sharing, addressing several security issues associated with traditional centralized models. It ensures data integrity and provides mutual authentication while offering anonymity to participating entities, making it a promising solution for car-sharing systems in smart cities. to maintain the integrity of the system, as blockchain technology is based on a distributed ledger that allows participants to validate transactions. Additionally, the anonymity of the participating entities ensures privacy while providing security against unauthorized access to sensitive data. Moreover, the proposed scheme's security was analyzed using several methods, such as informal analysis, AVISPA simulation, and BAN logic evaluation, to ensure the system's resilience to various attacks.
Critical Patient Monitoring and Alerting System
Authors: Giri Arundhati , Hamand Srushti , Hiremath Sakshi , Jadhav Gajanan , Jadhav Sahil
Published: May 2023

Abstract: In recent times as the world is facing many challenges in the sector of politics, economy, weather, social etc health still remains the top priority for everyone. In the field where the need of the professionals is always rising no one can get constant surveillance .For the very need we have come up with a system that can help us with the surveillance of the critical patients. The system that we suggest can help us with the finding the needs of the patients.The system has an alerting feature as well that will alert the doctor on call or the person in charge if the heartbeat of the patient is disrupted.
Design of BCD Adder Using QCA Technology
Authors: Kalyan Enugula
Published: May 2023

Abstract: Quantum-dot Cellular Automata (QCA) technology is a promising alternative to traditional complementary metaloxide-semiconductor (CMOS) technology for implementing digital circuits due to its potential for high speed, low power consumption, and small size. In this paper, we present a design for a Binary Coded Decimal (BCD) adder using QCA technology. The BCD adder is a crucial building block for arithmetic operations in decimal representation. The proposed design uses QCA cells to perform the addition operation of two BCD digits, which are encoded as a 4-bit binary number. The design includes a full-adder circuit, a BCD-to-binary converter, and a carry-lookahead adder. Simulation results using QCA Designer software demonstrate the functionality and feasibility of the proposed BCD adder design. The proposed design provides a promising alternative to traditional CMOS-based BCD adders and can contribute to the development of QCA-based digital circuits
Crop Prediction using NPK sensors and Machine Learning for Agriculture
Authors: Naik Bhoomika Ramesh
Published: May 2023

Abstract: It is difficult for farmer to choose the right crops based on the soil nutrients like Nitrogen, Phosphorus, Potassium, and other contents in the soil. The process of manually testing the soil takes several weeks to arrive back from the lab and even after the soil sampling, the right crop is not predicted only the nutrients present in them are reported which is a time-consuming process. To overcome this problem, we propose this system of crop prediction using machine learning which contains sensors that can predict the Nitrogen(N), Phosphorus(P), Potassium(K), pH, temperature, Humidity and other contents in the soil and transmit time - stamped live data to the python and use machine learning algorithms to analyse the data and predict the fertilizers and crops suitable for the area to increase the quality and yield of the crop.
House Price Prediction System Using Machine Learning
Authors: Dhakne Dr. Amol
Published: May 2023

Abstract: When individuals are in the market for a new home, they often display a more cautious approach when it comes to their budgets and overall market strategies. However, the current system for determining house prices typically lacks the essential element of predicting future market trends and potential price increases. The existing system Give the functionality for buyers, allowing them to search for houses by features or address. Machine Learning has significantly contributed to various areas such as natural language processing, product recommendations, healthcare, customer service, and automotive safety. Its widespread adoption in these fields highlights its trendiness and its potential for transformative impact. In light of this, we are incorporating Machine Learning into our project. Predicting the selling price of houses in cities such as Bengaluru remains a complex and intricate task. Numerous interrelated factors influence the property prices in these cities. Essential elements that impact the price comprise the property's size, its location, and its characteristics, including the number of rooms and bathrooms.
Nueva normalidad hídrica en Chile: Sequía meteorológica en la región de Ñuble
Authors: Zapata Márquez Nicole
Published: May 2023

El estudio revisa la situación de sequía en la región de Ñuble, se examina el comporta­miento meteorológico mediante la recopilación y análisis de datos de agua caída, dispuestos por la Dirección Meteorológica de Chile (DMC) en base a 42 estaciones distribuidas en la región. Se identifi­can dificultades en el acceso a datos, se evidencia la existencia de sesgo en la distribución de las es­taciones, asociado principalmente a favorecer la in­dustria agrícola y no a mantener información terri­torial para verificar efectos del cambio climático, en este sentido no es posible hacer una trazabilidad al agua caída en la región ya que solo una estación ubicada en la depresión intermedia es considerada como información oficial de la región. El estudio realiza una caracterización cualitativa en poblado­res de las localidades con menor precipitación his­tórica en la región, para verificar su percepción frente a la sequía.
Economic and environmental impacts of agricultural non-tariff measures: evidence based on ad valorem equivalent estimates
Authors: Mao Rui , Liu Yuhang , Wang Xiaoxi
Published: May 2023

Non-tariff measures as hidden barriers to agricultural trade would not only result in production and welfare distortions due to the international relocation of activities along the agricultural value chain, but also yield subsequent consequences to both the scale and distribution of carbon emissions from the agri-food system. This paper estimates ad valorem equivalents of non-tariff measures using a gravity model in combination with detailed bilateral trade data of 2001-2019, and incorporates the estimations in the Global Trade Analysis Project model and a multi-regional input-output table of Eora26 to quantify economic and environmental impacts of non-tariff measures. We show that while tariff equivalents are on average positive for all types of non-tariff measures, there are substantial heterogeneities across countries and products. The extra trade barriers imposed by these measures would increase the scale of domestic agriculture-related sectors for most agriculture importing countries, and vice versa for major exporters. Meanwhile, they would reduce the global welfare at amount of 16 millions US dollars on average and in particular, the welfare of key imposers and targeting markets of non-tariff measures. Carbon emissions from the agri-food system tend to increase about 1% around the world, especially due to the larger food processing industry in developed countries. Our paper confirms that non-tariff measures lead to both welfare distortions and carbon emissions in the agri-food system. It thus calls for urgent needs to promote further reforms of the agricultural trade regime and the policy coordination across countries to facilitate agri-food system transformation with more integration and sustainability.
Skin Repair and Immunoregulatory Effects of Myeloid Suppressor Cells from human cord blood on Atopic Dermatitis
Authors: Hong Seung-Min , Kim Chang-Hyun , KIM SUEON , Yoo Jae-Ik , Jung Soo-Hyun , Bang Chul Hwan , Lee Ji hyun , Kim Tai-Gyu
Published: May 2023

Background: In our previous study, we achieved large-scale
expansion of bone marrow-derived suppressor cells (MDSCs) derived from
CD34+ cells cultured in human umbilical cord blood (hUCB) and
demonstrated the immunomodulatory properties of these cells. This study
aimed to assess the therapeutic efficacy of hUCB-MDSCs in the treatment
of atopic dermatitis (AD). Methods:Dermatophagoides
farinae(Df)-induced NC/Nga mice (clinical score of 7) were
treated with hUCB-MDSCs or control drug. The mechanisms underlying the
therapeutic effects of hUCB-MDSCs were evaluated using dermatitis
scores, immunological parameters, skin histology, and skin barrier
function analysis. Results: hUCB-MDSCs demonstrated
immunosuppressive effects on both human and mouse CD4+ T cells.
hUCB-MDSC administration significantly reduced the clinical severity
scores and was associated with histopathological changes, such as
reduced inflammatory cellular infiltration, epidermal hyperplasia, and
fibrosis. hUCB-MDSC administration decreased the serum levels of IgE,
IL-4, IL-5, IL-13, IL-17, thymus- and activation-regulated chemokine
(TARC), and thymic stromal lymphopoietin (TSLP). Additionally,
hUCB-MDSCs altered the expression of skin barrier function-related
proteins such as filaggrin, involucrin, loricrin, and cytokeratin 10 and
suppressed Df restimulated T-cell activation through cell–cell
interactions. Furthermore, hUCB-MDSCs promote skin recovery and maintain
their therapeutic effect even after recurrence. Conclusions:
hUCB-MDSC administration improved Df-induced AD-like skin lesions and
led to the restoration of skin barrier function. Furthermore, hUCB-MDSC
treatment inhibited inflammatory responses and suppressed T-cell immune
function. Therefore, the results of this study support the potential for
hUCB-MDSCs as a novel treatment for AD.
Highly efficient construction of multi-substituted aminopyrazoles derivatives via iodine-mediated three-components reaction as potential anticancer agents
Authors: Gao Zilin , Huang Wenbo , Liu Manli , Chen Yu , Shi Liqiao , Zhang Zhigang , Yang Fei , Cao Xiufang , Wang Kaimei , Ke Shaoyong
Published: May 2023

As an important class of natural products, pyrazole alkaloids have a
large number of applications in various aspects such as medicines and
pesticides. Due to the special position of its amino group,
3-aminopyrazole is easy to form a hydrogen bond donor-acceptor-donor,
and the hydrogen bond “zipper” structure enhances the binding ability
of such compounds to receptors. This work provides a new one-pot
three-components reaction for the efficient construction of
multi-substituted aminopyrazoles derivatives via iodine-mediated
cyclization in the presence of ethanol. After that, the potential
mechanism of the reaction was explored based on the control
transformation experimental and density functional theory (DFT)
calculations. In addition, all obtained multi-substituted aminopyrazole
derivatives were fully investigated for their application as potential
anti-cancer agents, and some of which have been proved to exhibit
excellent anti-cancer activity against A875, HepG2, and HL-7702 cell
lines, and the possible structure-activity relationships also has been
discussed based on the screening results. The kinase assay and molecular
docking experimental indicate that this class of compounds may be a
potential CDK1 inhibitors.
Novel TBG-based Guidance Law against Maneuvering Target with Prescribed Performance under Input Saturation
Authors: Jianfeng Li , Song Shen-min , Shi Xiaoping
Published: May 2023

To achieve a fast engagement satisfying the desired terminal LOS angles,
transit performance, and anti-saturation properties, a novel time base
generator (TBG)-based sliding mode guidance law with prescribed
performance is proposed for intercepting a maneuvering target. A
modified TBG-based Lyapunov function is constructed, based on which a
novel non-singular fast terminal sliding manifold with adjustable
temporal behavior is designed, and the reaching phase and sliding phase
of SMC are regulated by two TBG functions, which brings about a lower
risk of input saturation and a faster convergence rate of LOS angle
tracking error. The transformed variables are incorporated into guidance
law to ensure the tracking errors are always within a prescribed bound.
To further handle the input saturation problem, a modified anti-windup
compensator is designed, and the external disturbances derived from the
maneuvering target are estimated and compensated adaptively. The
simulation results show the effectiveness of the proposed method by
comparison with other guidance laws.
Infection-induced seroconversion and seroprevalence of SARS-CoV-2 among a cohort of children and youth in Montreal, Canada
Authors: Zinszer Kate , Charland Katia , Pierce Laura , Saucier Adrien , Hamelin Marie-Ève , Torre Margot Barbosa Da , Carbonneau Julie , Nguyen Cat Tuong , Serres Gaston De , Papenburg Jesse , Boivin Guy , Quach Caroline
Published: May 2023

The EnCORE study is a prospective serology study of SARS-CoV-2 in a
cohort of children from Montreal, Canada. Based on data from our fourth
round of data collection (May-October 2022), we estimated SARS-CoV-2
seroprevalence and seroconversion. Using multivariable regression, we
identified factors associated with seroconversion. Our results show that
previously seronegative children were approximately 9-12 times more
likely to seroconvert during the early Omicron-dominant period compared
to pre-Omicron rounds. Unlike the pre-Omicron rounds, the adjusted rate
of seroconversion among 2- to 4-year-olds was higher than older age
groups. As seen previously, higher seroconversion rates were associated
with ethnic/racial minority status.
Spatial distance, not environmental heterogeneity, explains fine-scale patterns of ß-diversity in multiple life stages of logged tropical forest trees
Authors: Cannon Patrick , Edwards David , Yusah Kalsum , Freckleton Robert
Published: May 2023

Selective logging of tropical forests substantially alters the
composition and spatial arrangement of plant communities. Previous
studies examining logged-forest tree assemblages have focused primarily
on adult communities, leaving major knowledge gaps regarding the
diversity patterns of earlier life stages. A key question is to
elucidate the temporal dynamics of community assembly in human-modified
forests. Sampling 8,664 sapling, juvenile, and adult trees from a
heavily logged forest in Sabah, Malaysian Borneo, we tested whether
compositional variation and the relative importance of different
environmental and spatial factors explaining patterns of ß-diversity
differed between life stages, and whether dissimilarity was driven by
species turnover or nestedness. We found positive ß-deviations in all
communities, consistent with a strong influence of assembly processes
that result in aggregated spatial distributions of individual species.
Across life stages, ß-diversity was largely explained by spatial
distance, rather than measures of environmental heterogeneity.
Dissimilarity was driven by species turnover not nestedness, with
compositional variation in early life stages strongly correlated with
turnover in adult communities. Collectively, our findings indicate that
despite increased spatial heterogeneity in forest structure, liana
infestation, and canopy openness post-logging, these factors do not
sufficiently explain fine-scale patterns of tree composition.
Alternatively, diversity patterns of earlier life stages more closely
reflect potential assembly processes related to aggregated adult
distributions and associated dispersal limitations resulting from
spatial variation in logging activity.