bluuebunny/crossref_metadata_2025 huggingface dataset:
Metabolic Insight Into the Neuroprotective Effect of Tao-He-Cheng-Qi (THCQ) Decoction on ICH Rats Using Untargeted Metabolomics
Authors: Yang Rui-Pei , Cai Da-Ke , Chen Yu-Xing , Gang Hai-Ning , Wei Mei , Zhu De-Quan , Li Su-Mei , Yang Jiu-Mei , Luo Si-Ni , Bi Xiao-Li , Sun Dong-Mei
Published: May 2021

Tao-He-Cheng-Qi decoction (THCQ) is an effective traditional Chinese medicine used to treat intracerebral hemorrhage (ICH). This study was performed to investigate the possible neuroprotective effect of THCQ decoction on secondary brain damage in rats with intracerebral hemorrhage and to elucidate the potential mechanism based on a metabolomics approach. Sprague-Dawley (SD) rats were randomly divided into five groups: the sham group, collagenase-induced ICH model group, THCQ low-dose (THCQ-L)-treated group, THCQ moderate-dose (THCQ-M)-treated group and THCQ high-dose (THCQ-H)-treated group. Following 3 days of treatment, behavioral changes and histopathological lesions in the brain were estimated. Untargeted metabolomics analysis with multivariate statistics was performed by using ultrahigh-performance liquid chromatography–mass spectrometry (UPLC-Q-Exactive Orbitrap MS). THCQ treatment at two dosages (5.64 and 11.27 g/kg·d) remarkably improved behavior (p < 0.05), brain water content (BMC) and hemorheology (p < 0.05) and improved brain nerve tissue pathology and inflammatory infiltration in ICH rats. Moreover, a metabolomic analysis demonstrated that the serum metabolic profiles of ICH patients were significantly different between the sham group and the ICH-induced model group. Twenty-seven biomarkers were identified that potentially predict the clinical benefits of THCQ decoction. Of these, 4 biomarkers were found to be THCQ-H group-specific, while others were shared between two clusters. These metabolites are mainly involved in amino acid metabolism and glutamate-mediated cell excitotoxicity, lipid metabolism-mediated oxidative stress, and mitochondrial dysfunction caused by energy metabolism disorders. In addition, a correlation analysis showed that the behavioral scores, brain water content and hemorheology were correlated with levels of serum metabolites derived from amino acid and lipid metabolism. In conclusion, the results indicate that THCQ decoction significantly attenuates ICH-induced secondary brain injury, which could be mediated by improving metabolic disorders in cerebral hemorrhage rats.
A Survey Among Italian Physicians During COVID-19 Outbreak. Could Bacillus Calmette–Guérin Vaccine Be Effective Against SARS-CoV2?
Authors: Patella Vincenzo , Sanduzzi Alessandro , Bruzzese Dario , Florio Giovanni , Brancaccio Raffaele , Fabbrocini Gabriella , Delfino Gabriele
Published: May 2021

Background: Epidemiological studies show that BCG-vaccinated population seems to be more likely protected from COVID-19 infection, but WHO gave a stark warning on use of BCG vaccine without confirmed COVID-19 trials. The aim of the study is to evaluate whether TB vaccination, performed several years earlier, could confer protection against COVID-19.

Methods: After the Ethical Committee authorization, professional orders were used to contact physicians with an online survey. Specialty, COVID-19 infection and previous BCG vaccination were recorded. Statistical data analysis was performed.

Results: 1906 physicians answered the questionnaire, (M = 1068; F = 838; mean age 50.7 ± 13.3 years; range 24–87), more than half (1062; 55.7%) experienced BCG vaccination. Professional activity was recorded, and only 49 subjects (2.6%) of them were infected by SARS-CoV2. Among the group of infected people, asymptomatic form occurred in 12 subjects (24.5%); a pauci-symptomatic form in 24 subjects (49.0%); and a severe form (pneumonia and/or respiratory distress) in 13 (26.5%). Considering only the clinically relevant form of COVID-19, period prevalence was 2.2% (23/1062) in the vaccinated group and 1.7% (14/844) in the unvaccinated group (OR: 1.31, 95% C.I.: 0.68–2.63, p = 0.427).

Conclusion: Our experience does not confirm the possible protective role of BCG vaccination, performed years earlier, against COVID-19. Although recent epidemiological studies point out in BCG-vaccinated population a lower prevalence of SARS-CoV2 infection, in our cohort of physicians no significant difference was found in terms of prevalence of COVID-19 infection. Our data underline the necessity to follow the WHO warning about the indiscriminate use of BCG vaccine, until clear evidence of protection by BCG vaccination against COVID-19 is fully demonstrated.
Amphetamine Induces Oxidative Stress, Glial Activation and Transient Angiogenesis in Prefrontal Cortex via AT1-R
Authors: Basmadjian Osvaldo M. , Occhieppo Victoria B. , Marchese Natalia A. , Silvero C. M. Jazmin , Becerra María Cecilia , Baiardi Gustavo , Bregonzio Claudia
Published: May 2021

Background: Amphetamine (AMPH) alters neurons, glia and microvessels, which affects neurovascular unit coupling, leading to disruption in brain functions such as attention and working memory. Oxidative stress plays a crucial role in these alterations. The angiotensin type I receptors (AT1-R) mediate deleterious effects, such as oxidative/inflammatory responses, endothelial dysfunction, neuronal oxidative damage, alterations that overlap with those observed from AMPH exposure.

Aims: The aim of this study was to evaluate the AT1-R role in AMPH-induced oxidative stress and glial and vascular alterations in the prefrontal cortex (PFC). Furthermore, we aimed to evaluate the involvement of AT1-R in the AMPH-induced short-term memory and working memory deficit.

Methods: Male Wistar rats were repeatedly administered with the AT1-R blocker candesartan (CAND) and AMPH. Acute oxidative stress in the PFC was evaluated immediately after the last AMPH administration by determining lipid and protein peroxidation. After 21 off-drug days, long-lasting alterations in the glia, microvessel architecture and to cognitive tasks were evaluated by GFAP, CD11b and von Willebrand immunostaining and by short-term and working memory assessment.

Results: AMPH induced acute oxidative stress, long-lasting glial reactivity in the PFC and a working memory deficit that were prevented by AT1-R blockade pretreatment. Moreover, AMPH induces transient angiogenesis in PFC via AT1-R. AMPH did not affect short-term memory.

Conclusion: Our results support the protective role of AT1-R blockade in AMPH-induced oxidative stress, transient angiogenesis and long-lasting glial activation, preserving working memory performance.
Novel Pan-Pim Kinase Inhibitors With Imidazopyridazine and Thiazolidinedione Structure Exert Potent Antitumor Activities
Authors: Sawaguchi Yuichi , Yamazaki Ryuta , Nishiyama Yukiko , Mae Masayuki , Abe Atsuhiro , Nishiyama Hiroyuki , Nishisaka Fukiko , Ibuki Tatsuya , Sasai Toshio , Matsuzaki Takeshi
Published: May 2021

Pim kinases are overexpressed in various types of hematological malignancies and solid carcinomas, and promote cell proliferation and survival. Here in this study, we investigated the preclinical profile of novel pan-Pim kinase inhibitors with imidazopyridazine and thiazolidinedione structure. Imidazopyridazine-thiazolidinediones inhibited activities of Pim kinases with IC50 values of tens to hundreds nanomolar. With YPC-21440 and/or YPC-21817, which exhibited especially high inhibitory activities against Pim kinases, we investigated in vitro and in vivo activities of imidazopyridazine-thiazolidinediones. In silico analysis of binding mode of YPC-21440 and Pim kinases revealed that it directly bound to ATP-binding pockets of Pim kinases. In the kinase panel tested, YPC-21440 and YPC-21817 were highly specific to Pim kinases. These compounds exerted antiproliferative activities against various cancer cell lines derived from hematological malignancies and solid carcinomas. Furthermore, they suppressed phosphorylation of Pim kinase substrates, arrested cell cycle at the G1 phase, and induced apoptosis in cultured cancer cells. In tumor xenograft models, YPC-21440 methanesulfonate and YPC-21817 methanesulfonate exerted antitumor activities. Furthermore, pharmacodynamic analysis with a xenograft model suggested that YPC-21817 methanesulfonate inhibited Pim kinases in tumors. In conclusion, our data revealed that imidazopyridazine-thiazolidinediones are novel Pim kinases inhibitors, effective on various types of cancer cell lines both in vitro and in vivo.
Study of Coronary Atherosclerosis Using Blood Residence Time
Authors: Hashemi Javad , Patel Bhavesh , Chatzizisis Yiannis S. , Kassab Ghassan S.
Published: May 2021

Computational fluid dynamic-based modeling is commonly used in stenosed and stented coronary artery to characterize blood flow and identify hemodynamics factors that could lead to coronary stenosis. One such factor is the residence time (RT), which is important for investigating stenosis and restenosis progression. The current method to calculate RT, known as the relative residence time (RRT) method, does not provide the original scale of RT and only provides a relative value. We recently introduced a novel method, designated as RT method, based on developing the advection-diffusion equation with a scalar to calculate the absolute residence time. The goal of this study was to compare both methods. Our results show that both could detect regions with a high risk of stenosis and restenosis, but the RT method is also able to show the recirculation zone using pathlines in the lumen and quantify actual RT. Moreover, RT method also provided blood flow pathlines, and is correlated to wall shear stress (WSS), oscillatory shear index (OSI), RRT, and Localized Normalized Helicity (LNH) which are other critical factors to gauge stenosis severity and assess stenting in bifurcations coronary.
Genetic Variation in Root Architectural Traits in Lactuca and Their Roles in Increasing Phosphorus-Use-Efficiency in Response to Low Phosphorus Availability
Authors: Beroueg Amira , Lecompte François , Mollier Alain , Pagès Loïc
Published: May 2021

Low phosphorus (P) bioavailability in the soil and concerns over global P reserves have emphasized the need to cultivate plants that acquire and use P efficiently. Root architecture adaptation to low P can be variable depending on species or even genotypes. To assess the genetic variability of root architectural traits and their responses to low P in the Lactuca genus, we examined fourteen genotypes including wild species, ancient and commercial lettuce cultivars at low (LP, 0.1 mmol. L–1) and high P (HP, 1 mmol. L–1). Plants were grown in cylindrical pots adapted for the excavation and observation of root systems, with an inert substrate. We identified substantial genetic variation in all the investigated root traits, as well as an effect of P availability on these traits, except on the diameter of thinner roots. At low P, the main responses were a decrease in taproot diameter, an increase in taproot dominance over its laterals and an increase in the inter-branch distance. Although the genotype x P treatment effect was limited to root depth, we identified a tradeoff between the capacity to maintain a thick taproot at low P and the dominance of the taproot over its laterals. Regardless of the P level, the phosphorus-use-efficiency (PUE) varied among lettuce genotypes and was significantly correlated with total root biomass regardless of the P level. As taproot depth and maximum apical diameter were the principal determinants of total root biomass, the relative increase in PUE at low P was observed in genotypes that showed the thickest apical diameters and/or those whose maximal apical diameter was not severely decreased at low P availability. This pre-eminence of the taproot in the adaptation of Lactuca genotypes to low P contrasts with other species which rely more on lateral roots to adapt to P stress.
Physical Activity, Boredom and Fear of COVID-19 Among Adolescents in Germany
Authors: Bösselmann Vincent , Amatriain-Fernández Sandra , Gronwald Thomas , Murillo-Rodríguez Eric , Machado Sergio , Budde Henning
Published: May 2021

Background

The effectiveness of physical activity (PA) as an intervention against anxiety disorders and depression is undeniable in clinical psychology. Therefore, the question arose whether these effects also occur when a fear stimulus, like the COVID-19 pandemic, affects otherwise healthy adolescents. Boredom is closely linked to symptoms of fear and anxiety, but the connection between PA, boredom and fear is partly unclear.

Methods

A cross-sectional online study was conducted that involved 122 students. Participants were 13–19 years old (Mage = 15.83, SD = 1.73). The survey was available online from April 27th to May 3rd, 2020. At this time, schools in Germany had already been closed for 6 weeks. A self-report questionnaire was used to measure physical activity, boredom, and fear of COVID-19. A multiple linear regression model was conducted.

Results

The reported fear of COVID-19 significantly correlates with total PA, quantity of strenuous PA, and boredom. Furthermore, a significant regression equation was found. The variables boredom, PA, and age contribute significantly to predicting the fear of COVID-19 [R2 = 0.127, F(3,118) = 6.876, p < 0.000], among adolescents.

Conclusion

Our results indicate that there is an association between PA, boredom and the quarantine experience of adolescents. Students who were physically more active, especially with strenuous intensity, did not feel bored and showed less fear of COVID-19.
Multiplatform storytelling: Are photojournalists taking advantage?
Authors: García-Taboada Estíbaliz , Larrondo-Ureta Ainara , Peña-Fernández Simón
Published: May 2021

With the expansion of connected devices (tablets, smartphones, etc.), a leap in multiplatform technologies is occurring, bringing about changes in many areas of the communications professions. In this context, values based on flexible, multiplatform, cooperative work that takes the audience into consideration are increasingly important. Professional photography coexists with — and is even rivaled by — images taken by citizens, which are often used by the mass media. For that reason the need is greater than ever for photographers and graphic professionals who, in one way or another, adapt to the new media Using a multiple case study method, this article examines the digital resources used by photographers who have won a World Press Photo Award. It studies the ways in which they exploit the medium, extending the photographic narrative beyond the website, to promote themselves and their personal brand. The results show photographers’ preference for unidirectional communication models and superimposed strategies that have limited engagement and viralisation. The acquisition of digital expertise by photojournalists is at an intermediary stage, since the cases analyzed reveal that these professionals’ web 2.0 activity is limited or underexploited.
Stakeholder-Guided Development of Dialysis Vascular Access Education Materials
Authors: Dorough Adeline , Narendra Julia H. , Wilkie Caroline , Hegde Akhil , Swain Kawan , Chang Emily H. , Oliver Terence , Flythe Jennifer E.
Published: May 2021

Key Points

Guided by 105 stakeholders, we developed mixed-media vascular access education materials that acknowledge common patient concerns.

Preliminary findings suggest that the education materials are promising to improve vascular access understanding among patients.

Background

Initiating hemodialysis via an arteriovenous (AV) access is considered best practice for most patients. Despite the well-recognized advantages of AV access, 80% of US patients start hemodialysis with a catheter. Limited patient knowledge about vascular access, among other factors, may play a role in this high rate. We used iterative stakeholder input to develop novel, mixed media vascular access education materials and evaluated their preliminary acceptability.

Methods

We conducted preliminary focus groups and interviews with key stakeholders to assess patient vascular access understanding and elicit perspectives on existing education materials. We then used stakeholder input to inform initial development and iterative updates to the content and design of an animated video and complementary brochure. Video development (scripting, storyboarding, animation) was guided by an evidence-based framework and two health behavior change models. We assessed acceptability of the completed materials with patients and medical providers/personnel via interviews.

Results

Overall, 105 stakeholders participated in education materials development and review (80 patients/care partners, 25 medical providers/personnel). Preliminary qualitative work included 52 patients/care partners and 16 providers/personnel; video development included 28 patients/care partners and nine providers/personnel. The video script, storyboards, and animation underwent 14, four, and nine stakeholder-guided iterations, respectively. Responsive changes included aesthetic modifications, technical updates, and content additions (e.g., HD circuit, access self-monitoring, enhanced patient testimonials). The final 18-minute video and complementary brochure define vascular access types, describe care processes, outline potential complications, and address common patient concerns. Interviews with 28 patients/care partners and nine providers/personnel from diverse geographic regions revealed preliminary acceptability of, and enthusiasm for, the materials by patients and providers.

Conclusions

In collaboration with key stakeholders, we developed mixed media vascular access education materials that were well-received by patients and providers. Preliminary findings suggest that the materials are promising to improve vascular access understanding among patients.
Equitable and Effective Distribution of the COVID-19 Vaccines – A Scientific and Moral Obligation
Authors: Binagwaho Agnes , Mathewos Kedest , Davis Sheila
Published: May 2021

The rapid development of coronavirus disease 2019 (COVID-19) vaccines has not been met with the assurance of an effective and equitable global distribution mechanism. Low-income countries are especially at-risk, with the price of the vaccines and supply shortages limiting their ability to procure and distribute the vaccines. While the COVAX initiative is one of the solutions to these challenges, vaccine nationalism has resulted in the hoarding of vaccines and the signing of parallel bilateral deals, undermining this formerly promising initiative. Moreover, inequity in local distribution also remains a problem, with clear discrimination of minorities and lack of logistical preparation in some countries. As we continue to distribute the COVID-19 vaccines, pharmaceutical companies should share their technology to increase supply and reduce prices, governments should prioritize equitable distribution to the most at-risk in all nations and low-income countries should bolster their logistical capacity in preparation for mass vaccination campaigns.
Composición primaria de los rayos cósmicos de ultra alta energía y estudios de modelos hadrónicos en el desarrollo de cascadas en el Observatorio Pierre Auger
Authors:   , Vergara Quispe Indira Dajhana
Published: May 2021

El trabajo de la presente tesis se centra en el problema de la determinación de la masa de las partículas de rayos cósmicos ultra energéticos y la relación con distintos modelos de interacción hadrónica. A estas energías es necesario deducir la composición a partir de la detección de la cascada de partículas secundarias producidas en la atmósfera. Por otro lado, la interpretación de los datos se realiza en la mayoría de los casos utilizando simulaciones Monte Carlo, dependiendo entonces de los modelos que se utilizan, con el agravante del desconocimiento de la naturaleza de los procesos que se producen en la cascada a estas ultra-altas energías, dado que no pueden ser contrastados directamente con resultados de experimentos controlados en aceleradores de partículas. En esta tesis se analizaron distintos observables obtenidos tanto del sistema de detección híbrido como del Detector de Superficie del Observatorio Pierre Auger. Los análisis realizados corresponden a discriminación de primarios fotón-protón, busqueda de fotones y determinación del límite superior de la fracción de fotones, así como la actualización de resultados correspondiente al análisis de primarios de naturaleza hadrónica.
La complejidad: una perspectiva filosófica y multidisciplinar en las ciudades inteligentes
Authors: Urrego-Marín María Lucelly , Ocampo Osorio Cristina
Published: May 2021

La concepción de complejidad es una variable inherente a las ciudades inteligentes, por ello debe establecerse la diferencia entre los diferentes predecesores de la cultura occidental y oriental, y cómo aportan los pensadores que podrían considerarse pioneros de la complejidad a tales teorías, desplegados a través del tiempo. En este sentido, el artículo consideró una revisión literaria en torno a las teorías de diversas culturas y los periodos filosóficos y corrientes que, desde su intencionalidad, expresan un tipo de contexto frente a la concepción de las ciudades inteligentes; concepciones de nuevo conocimiento que de alguna forma sobrepasan, en diversos aspectos y formas, la manera de ver la realidad, y están encaminados a identificar el azar, la incertidumbre o el devenir. Para ello, se planteó una metodología que se ejecutó en 5 fases (referenciación, evaluación, propuesta metodológica, formulación y validación), identificando teorías, en la fase de referenciación, tales como la teoría del caos, la teoría algorítmica de la información, la teoría de simplicidad y la teoría general de sistemas; todas ellas contribuyeron a entender las diversas dinámicas presentes y posibles de las ciudades inteligentes, al tiempo que favorecieron la comprensión de las problemáticas sociales y retos que deben enfrentar estos territorios urbanos.
Cartografías e imaginarios sociales como metodologías de diagnóstico para plan de ordenamiento territorial en Mesetas – Meta
Authors: Rodríguez Aura Luz , Pineda Martínez Edgar Oswaldo
Published: May 2021

Este artículo presenta un diagnóstico territorial sustentado en variables resultantes de un proceso de cartografía social, donde los imaginarios colectivos de campesinos, del municipio de Mesetas, permitieron establecer, de una manera disruptiva, participante y comunitaria las bases para la formulación de un plan de ordenamiento territorial ambiental, social y productivo, en una zona que ha sido históricamente afectada por el conflicto armado del país y que ahora se configura como espacio territorial para la reconciliación y construcción de paz territorial. La metodología que se uso es del tipo descriptiva– exploratoria con enfoque cualitativo, haciendo uso de la investigación acción participativa -IAP-; se dio preponderancia a los juicios, valoraciones, acciones y necesidades concretas del municipio desde el saber de los campesinos. La investigación permitió vislumbrar un territorio cambiante bajo mapas de temporalidad, donde la familia, la tierra y la riqueza ecosistémica del municipio emergieron como fuentes del desarrollo económico, social y agropecuario del territorio. Dicho desarrollo se vio reflejado posterior al Acuerdo de Paz, por lo que la seguridad - paz territorial se determinó como una variable de gran influencia en el territorio, especialmente sobre el turismo comunitario; una actividad potencial en el municipio dependiente de que perdure la paz, de mejoras en infraestructura e implementación de prácticas sostenibles.
THE PATRIOTISM APPLICATION AMONG SECONDARY SCHOOL HISTORY TEACHERS IN SABAH
Authors: Abdul Hamid Jais , Esa Mohd Sohaimi , Ationg Romzi , Othman Irma Wani , Sharif Adam Sharifah Darmia , Mohd Tamring Budi Anto , Hajimin Mohd Nur Hidayat Hasbollah
Published: May 2021

The main purpose of this study is to identify the level of patriotism application in secondary school history teachers in Sabah. This study is a survey study using a questionnaire for the purpose of collecting data. The sample of the study consists of history teachers involving a total of 367 respondents throughout Sabah. Study variables were tested using descriptive and inferential statistics involving t-tests. The findings of the study indicate that the patriotism application is at a high level. The results of the t-test showed that there was a significant difference in the mean score of the patriotism application between the respondents of history specialization and non-history specialization. These findings provide useful input, especially to the Ministry of Malaysia Education, the State Education Department, and the school administration to plan professional development programs.
Mujeres que leen, escriben y calculan para participar en la economía familiar y local
Authors: Solares Diana , Block David
Published: May 2021

Este artículo da cuenta de conocimientos matemáticos de dos grupos de mujeres indígenas en dos territorios mexicanos, con una escolaridad mínima o nula. Dichos conocimientos se pusieron de manifiesto en situaciones exploratorias diseñadas a partir de una caracterización de actividades cotidianas y laborales de las mujeres de ambos grupos. Damos cuenta también del cruce de miradasteóricas y analíticas que subyace a la metodología utilizada en el estudio. Nuestra finalidad es aportar elementos para el diseño de situaciones didácticas que, por una parte, consideren conocimientos construidos por las participantes en sus actividades sociales y culturales y, por otra parte, propicien la construcción progresiva de nuevos aprendizajes matemáticos
From everyday to scientific (mathematical) concepts
Authors: Farrugia Marie Therese
Published: May 2021

In Early Childhood settings, children are considered to learn through play. In this paper I report on a case-study of a four-year-old boy playing with loose parts. As he played, I interacted with him by commenting and asking questions. My aim was to include mathematics in his play. My analysis involved a micro-examination of the interaction to trace the child’s language over the sessions. The theoretical framework employed was Vygotsky’s distinction between everyday and scientific concepts and his theory of play. I noted that the interactive contexts supported the child to use certain words in association with others. In particular, he started to link the words big/small with numbers, thus quantifying size, which is the foundation of measurement. In line with the importance afforded to speech by Vygotsky, I was able to trace the role played by words in the child’s progression from everyday (play) concepts to scientific (mathematical) concepts.
ALOKASI TENAGA KERJA RUMAHTANGGA TANI PENERIMA BANTUAN MODAL TERNAK SAPI DI KECAMATAN KAWANGKOAN BARAT
Authors: Tendean Mardy , Umboh S. J.K , Wantasen E , Elly F H
Published: May 2021

FACTORS AFFECTING MAN LABOR ALLOCATION ON HOUSEHOLDS RECEIVING CATTLE CAPITAL INVESTMENT AID IN WEST KAWANGKOAN DISTRICT OF MINAHASA REGENCY. Study was conducted to analyze factors affecting man labor allocation on households receiving cattle capital investment aid in west kawangkoan district of minahasa regency. Study was done by survey method involving 30 samples of household farmers during September to November 2018. The specific model was applied with the household economic model in form of simultaneous regression system. Involving man labor at household was significantly affected by labor cost, amount of involving woman labor at household, amount of capital aid allocation for cattle farm, amount of cattle sold, and amount of household income. Household farmers positively gave response by doing allocation of man labor for cattle farm at household in the increasing occurrence of labor cost, capital aid and household income.Keywords : Household, capital aid, labor
ANALISIS USAHA TERNAK BABI DI KECAMATAN SONDER KABUPATEN MINAHASA
Authors: Sarajar Marsel J , Elly F H , Wantasen E , Umboh S J.K
Published: May 2021

ANALYSIS OF PIG FARMING IN SONDERDISTRICTMINAHASA REGENCY. Pigs are developed by the community in Minahasa Regency as a business that supports the livestock farmers' economy. The development of pig farming in this area was carried out in order to increase consumption of animal protein. The problem is that the development of pig farms is not continuous and there have not known factors that influence pork production. This research was conducted with the aim of analyzing production factors that influence the production of pig farming in Sonder District, Minahasa Regency. Survey method was  used with direct observation in the field. Sources of data collected are primary and secondary data. Location samples and respondents were determined by using of Cluster Random Sampling metho. Data analysis was conducted by useing descriptive analysis. The results showed that pigs were sold in the form of seeds (starter period pigs) and pork per kg. The price of seeds is Rp. 900,000 per head and the price of pork is Rp. 60,000 per kg. Based on the study  results showed that the factors such as feed, labor and cage  simultaneously had a significant effect on pig production. Keywords: Pigs, cages, labor, feed
DIVERSIFIKASI OLAHAN IKAN PADA WANITA KAUM IBU GPIJS KOTA BITUNG PROVINSI SULAWESI UTARA
Authors: Dotulong Verly , Montolalu Lita
Published: May 2021

Ikan mengandung  protein yang tinggi , murah harganya, mudah diperoleh dan halal untuk semua golongan ditinjau dari segi kesehatan maupun agama, oleh karena itu  Gerakan Memasyarakatkan Makan Ikan (GEMARIKAN) harus dilaksanakan, salah satu cara adalah dengan melakukan diversifikasi produk olahan hasil perikanan. Berdasarkan hal ini maka FPIK Unsrat, khususnya  Program Studi Teknologi Hasil Perikanan  melakukan Program Kemitraan Masyarakat pada  Kelompok Wanita Kaum Ibu (WKI) Gereja Pekabaran Injil Jalan Suci (GPIJS) Kota Bitung. Kelompok ini berdomisili di Kelurahan Manembo-Nembo Kecamatan Matuari, termasuk di wilayah Kota Bitung berjarak ± 51  km dari kampus Unsrat dengan Jumlah jiwa 59, sebagian besar adalah remaja dan anak-anak. Pekerjaan sambilan kepala keluarga sebagian besar adalah nelayan dengan hasil tangkapan ikan yang sering melimpah dan tidak bisa dimanfaatkan maksimal. Diversifikasi produk olahan ikan merupakan salah satu cara untuk mempertahankan mutu ikan dan meningkatkan konsumsi makan ikan terutama bagi remaja dan anak-anak untuk peningkatan gizi. Program kemitraan ini melaksanakan pelatihan dan pendampingan tentang pengolahan nugget dan kakinaga ikan layang (Decapterus sp) dengan porsi ikan 60 dan 80%. Hasil kegiatan menunjukkan bahwa penerimaan konsumen terbanyak terhadap nugget dan kakinaga ikan dari segi warna, tektur, citarasa dan tingkat kesukaan ditemukan pada produk nugget dan kakinaga ikan dengan konsentrasi ikan 80%.
IoT Based Smart Bottle Sensor for Health Care
Authors:   Department of Biomedical Engineering, Parul Institute of Technology (PIT), Parul University, Vadodara, Gujarat, India., Azairwe Herbert , Eddie Mudingoto ,   Department of Biomedical Engineering, Parul Institute of Technology (PIT), Parul University, Vadodara, Gujarat, India., Humayoon Rashid ,   Department of Biomedical Engineering, Parul Institute of Technology (PIT), Parul University, Vadodara, Gujarat, India., Khambhati Dimpal ,   Department of Biomedical Engineering, Parul Institute of Technology (PIT), Parul University, Vadodara, Gujarat, India.
Published: May 2021

Electrolyte bottle monitoring has become difficult due to tight schedules most especially during these pandemic times that have left health workers with little or no time. Improper monitoring of electrolyte bottles can result into serious life-threatening risks. We intend to design a reusable electrolyte level sensor using Ultrasonic sensor and Arduino Nano. The project will have a transmitter circuit that will use Rf communication to send the data to receiver circuit for processing. The transmitter circuit has an ultrasonic sensor that will be used to measure the distance of electrolyte level in bottle. The data is then sent wirelessly to the receiver circuit where percentage of the electrolyte level is shown on LCD module. If it shows 100% electrolyte consumed, then an alarm is sent off alerting the health worker in charge. It is also our aim to develop an electrolyte level detector that is reusable, efficient and most importantly affordable for health care industries. Building such a monitoring system, will reduce patient hazards and also improve health care service delivery in terms of accuracy. Health care workers will not need to constantly or manually assess the level of electrolyte left in the bottle most especially during night shifts. Air particles or bubbles can enter the patient’s blood stream if electrolyte bottle gets empty and still attached to patient. If these particles enter, it can result into immediate death. With further developments, it can be upgraded to send message to a doctor/nurse’s phone, along with the patient’s room number and other specifications.
Accounting and Privacy Preserving of Data Owner in Cloud Storage
Authors:   Asst. professor, Department Computer Science and Engineering, CBIT, Hyderabad, (Telangana), India., Mohan A. , Vamshikrishna P. ,   PG Student, Department Computer Science and Engineering, CBIT, Hyderabad, (Telangana), India.
Published: May 2021

People use the support of distributed computing however can’t completely believe the cloud suppliers to have protection and confidential information. To guarantee secrecy, data owners relocate encoded information rather than plain texts. To divide the encoded documents with different clients, Ciphertext-Policy Attribute-based Encryption (CP-ABE) can be utilized. But this cannot become secure against some other assaults. Many other schemes did not gave guarantee that the cloud provider has the power to check whether a downloader can unscramble or not. Consequently, these files are accessible to everybody who is approachable to the cloud storage. An intentionally harmful assailant can download a great many records to start Economic Denial of Sustainability (EDoS) attacks, it will to a great extent expend the cloud asset. The owner will bear all the expenses for the cloud storage but the cloud provider doesn’t provide the whole information about the access or usage. There is no transparency for the owner. We have to solve these concerns. In order to this we are going to propose a solution for securing the encrypted data from EDoS attacks and providing the owner whole usage information about the cloud storage. We are implementing by using the arbitrary access policy of CP-ABE.
Low Noise and high linearity Wide band Low Noise Amplifier for 5G Receiver Front End System
Authors:   Department of ECE, Chaitanya Barathi institute of Technology, Osmania University, Hyderabad (Telangana), India., Reddy M. Ramana
Published: May 2021

This work Demonstrates a wideband LNA for 5G receiver front end modules with high linearity, Low noise reused topology has an inter stage wideband inductor based two common source cascade stages. The configuration provides the bias current; better Noise figure increases the forward gain. By providing RC Series network at gate terminal of second stage the return losses are reduced and stability will be increased. After pre and post simulation all parameters are better than the existing LNAS. After post simulation results, the Noise figure is achieved less than 1dB and forward gain as flat 16dB for wide band width of 1.5 – 5.5 GHz. At the 1dB compression point the output is 20dbm achieved and OIP3 IS +40dbm is achieved. The chip size of an LNA along with pad is 0.64mm2. The design is GaAsp HEMT process at 50nm technology.
Design and Implementation of Solar Based Dc Grid using Arduino Uno
Authors:   Chaitanya Bharathi Institute of Technology, Hyderabad, India., Thirupathaiah M
Published: May 2021

Renewable Energy Sources (RES) such as Solar Photovoltaic (PV) became more popular over the last decade due to increasing environmental awareness and tax exemption policies on the solar PV systems. Integration of solar PV using various smart load management techniques will boost the efficiency of the overall system by reducing the massive cost of electricity bills. There is a need to find efficient and expert ways to enjoy these RES exclusively. Besides providing the connection between different loads, this system has the ability to collect information and execute control commands for the households by providing continuous observations and information about both load and supply profile, convincing the end user to take preventive measures by switching the auxiliary load to save power. This paper presents implementation of a low cost Solar based DC grid using Arduino. In the proposed system, the node which acts as a microcontroller reads the power consumption by the loads in each unit through current sensor. When the excess amount of power is consumed at particular unit, the controller makes the relay cut off the supply to the loads, which will be continuously displayed through LCD. This DC based power system helps to eliminate the requirement of converters systems, reducing converter cost, power system complexity, improve efficiency and reliability.
Fuzzification Based Osteoporosis Prediction Model
Authors:   Department of CSE, PDA College of Engineering, Kalaburagi, India., Shilpa Kumar , D C Shubangi ,   Head of the Department & Professor, Department of Computer Science, Visvesvarya Technological University, Kalaburagi, India.
Published: May 2021

Osteoporosis is a disease in which bones become fragile and more likely to break. Osteoporosis can progress painlessly until it causes a bone fracture or a bone break. Dual Energy X-ray Absorptiometry (DEXA) is more costly and not accessible easily so we are using Fuzzy Inference system to predict osteoporosis. In this fuzzy logic, we collect risk factors and rules for osteoporosis and build a interface which take inputs and predicts if a person has osteoporosis. In the following Literature survey, we will take risk factors, rules, and ways to implement them. Around the world, 33% of women and 20% men over the age of 50 will suffer a fracture caused by Osteoporosis. Osteoporosis is a disease in which Bones become shallow and are fractured. If predicted before, quality of life will increase and severe surgery may be avoided.
Envision Foundational of Convolution Neural Network
Authors:   Asst. Professor, CSE Dept, Chaitanya Bharathi Institute of Technology, Hyderabad, India., Reddy M Venkata Krishna , Pradeep Dr. S. ,   Associate Professor, CSE Dept, Siddhartha Institute of Engineering and Technology, Hyderabad, India.
Published: May 2021

Profound learning’s goes to the achievement of spurs in a large number and understudies to find out about the energizing innovation. At this regular process of novices to venture the multifaceted nature of comprehension and applying profound learning. We present Convolution Neural Network (CNN) EXPLAINER, an intelligent representation instrument intended for non-specialists to learn and inspect (CNN)-Convolution Neural Network a fundamental profound learning model engineering. Our apparatus tends to key difficulties that fledglings face in finding out about Convolution Neural Network, it can be distinguish from pointing with educators and input with past understudies. Convolution Neural Network firmly incorporates representation outline that sums up the construction of CNN, and on-request, dynamic visual clarification sees that assist clients with understanding the hidden parts of CNNs. Constantly polished changes across levels of deliberation, our device empowers clients to examine the exchange between low-level numerical activities and undeniable level model designs. A subjective client study shows that Convolution Neural Network EXPLAINER helps clients all the more effectively comprehend the inward operations of CNNs, and is drawing in and agreeable to utilize. We additionally determine plan exercises from our examination. Created utilizing current web innovations, CNN EXPLAINER runs locally in clients’ internet browsers without the requirement of establishment or particular equipment, widening the general preparation with current profound learning strategies.
Autonomous Recognition Model
Authors:   SCSE, Galgotias University, Greater Noida, India., Gupta Akash , Ali Rahat ,   SCSE, Galgotias University, Greater Noida, India., Singh Abhay Pratap ,   SCSE, Galgotias University, Greater Noida, India., Kumar P.Raja ,   SCSE, Galgotias University, Greater Noida, India.
Published: May 2021

Nowdays we are witnessing the technology transforming everything the way we used to do things and how the automobile industry is transforming itself with the use of technology IOT, Artificial intelligence, Machine learning. Companies shifting its products and its utilities in diferent way and they now want to acquire and introduce level-5 autonomous to future generation and big automobile companies are trying to achieve autonomous vechicles and we have researhed about the model that will help in assisting autonomous vechicles and trying to achieve that. We will develop this model with help of technologies like Artificial intelligence, Machine learning, Deep learning. Autonomous vehcicles will become a reality on our roads in the near future. However, the absence of a human driver requires technical solutions for a range of issues, and these are still being developed and optimised. It is a great contribution for the automotive industry which is going towards innovation and economic growth. If we talking about some past decade the momentum of new research and the world is now at the very advanced stage of technological revolution. “Autonomous-driving” vehicles. The term Self-driving cars, autonomous car, or the driverless cars have different name with common objective. The main focus is to keep the human being out of the vehicle control loop and to relieve them from the task of driving. Everyday automotive technology researchers solve challenges. In the future, without human assistance, robots will produce autonomous vehicles using IoT technology based on customer needs and prefer that these vehicles are more secure and comfortable in mobility systems such as the movement of people or goods. We will build a deep neural network model that can classify traffic signs present in the image into different categories. With this model, we are able to read and understand traffic signs which are a very important task for all autonomous vehicles .This model we have tested it and resulted in 95% accuracy.
Emergent use of Social Media on Elections: the use of Data Mining and Social Network Analysis for Political Purposes
Authors:   Laboratory of Materials Physics and Subatomics. Faculty of Sciences- Ibn Tofail University, Kenitra, Morocco., Zakia Acharoui , Badia Ettaki ,   Laboratory of Research in Computer Science, Data Sciences and Knowledge Engineering, School of Information Sciences Rabat, Morocco., Jamal Zerouaoui ,   Laboratory of Materials Physics and Subatomics. Faculty of Sciences- Ibn Tofail University, Kenitra, Morocco.
Published: May 2021

People spend more time on social media either for personal or social interest which generates an expanding amount of Data. This paper is written for researchers seeking to have an overview of the different technical methods used for political purposes principally Data Mining and Social Network Analysis. Hence, the first part introduces the impact of Social Media on politics for different aims such as communicating with voters, promoting participation, and predicting election results, then the two main methods to achieve political purposes were presented. Data mining approaches is likely to be used on political context to classify citizen’s opinion or predicting results thus by using methods such as term occurrence, mentions, Support Vector Machine, Machine Learning, and Artificial Neural Networks. The Social Network Analysis approaches are used to retrieve data about influencers, their role during a period, and the nature of the information shared.
Social Mobilization and Migration Predictions by Machine Learning Methods: A study case on Lake Urmia
Authors:   Political Science Faculty, International Relation Dept. Istanbul University, Istanbul, Turkey., Khangahi Fatemeh Dehghan , Kiani Farzad ,   Engineering and Architecture Faculty, Computer Engineering Dept. Istanbul Arel University, Istanbul, Turkey.
Published: May 2021

Voluntary or compulsory immigration of people to other regions or countries for different reasons can lead to social, cultural, and economic problems. In recent years, especially the rate of forced migration has increased and it is sometimes chosen as a last resort for social mobilization. Scientists and governments who have gathered data on migration for years have recently realized that Artificial Intelligence (AI) and Machine Learning (ML) methods are important in analyzing this data and developing utility models and systems. It has been gradually understood that these new technologies are very important in recent years, but studies have either only been done in the field of social sciences or only in the field of engineering. In this study, a comprehensive interdisciplinary study covering both dimensions is prepared. In this study, a machine learning-based model is presented by making a multidisciplinary study and exemplifying the Lake Urmia case study. The proposed method can be used in the decision-making process in the migration management. In our study, is proposed a model using three different algorithms (Support Vector Machine (SVM), Random Forest (RF), and K-Nearest Neighbors (KNN)). According to the results, the SVM-based model outperforms others in accuracy and validations. The trained model of SVM has a success rate on mean accuracy as near to 86% with 4,00E-02 standard deviation rate. SVM ranked first and this method was followed by RF and KNN methods, respectively. In this context, this model can make forward-looking predictions and, like an expert system, can guide the relevant researchers and even state or form ideas according to the results obtained from it.
Tactile Maps and New Technologies for Blind and People with Visual Impairments
Authors:   Department of Primary Education, National and Kapodistrian University of Athens, Greece., Gkanidi* Maria I. , Drigas Athanasios ,   Research Director at N.C.S.R. ‘Demokritos’, Institute of Informatics and Telecommunications, 153 10, Athens, Greece.
Published: May 2021

Until recently, the medical model of disability has dominated, but times and views change so that the model of social inclusion is now the guideline. It is therefore the broad acceptance of the social model of disability that leads to these changes and assistive technology is the main tool that allows social inclusion. In this paper an attempt is made to investigate greek and international bibliography regarding the design, the use and the effectiveness of haptic maps. This bibliographic research is divided into two main parts, each of whom divided into sub-chapters. The first part includes definitions and researches related to the structure, form and operation of the tactile maps and, more generally, of the individual characteristics taken into account in their creation. In the second part, there is a brief presentation of the new technologies for the blind and visually impaired people.