bluuebunny/crossref_metadata_2025 huggingface dataset:
Smart Helmet for Motorcycles
Authors: Bendigeri Deepa
Published: June 2023

Abstract: Our India, the world's second-most populous nation, has a sizable young population. Today's youth like riding bikes, and due to fashion, they often choose not to wear helmets. Due to them, the number of fatal bike accidents is rising daily. Even triple riding causes a lot of fatalities. Head injuries are a major cause of fatalities and can be avoided by using a helmet. A helmet is a type of head protection equipment that prevents head injuries. The helmet primarily helps the skull protect the brain. Various sensors are used to build the smart helmet. The study also sheds light on how the smart helmet system has changed through time and how it functions now utilising cutting-edge technologies like the Internet of Things. Also, this paper discusses the intelligent helmet technology that warns the rider of approaching large vehicles or buses in order to prevent crashes.
MapBlood: An Intelligent Blood Bank System with Integrated Google Maps
Authors: Chawhan Achal , Kuhikar Hima , Katekhaye Sharvari , Dongre Dr. P. B.
Published: June 2023

Abstract: One of the most crucial services that can save lives in emergency situations is blood donation.However, due to the intricacy of the procedure and the requirement to keep an adequate supply of blood for patients in need, maintaining blood donation centres and blood banks can be difficult. In this study, we suggest a smart blood bank system that enhances blood donation and management procedures by utilising cutting-edge technology like artificial intelligence and machine learning. Blood screening, donor registration, inventory control, and blood transfusion are just a few of the processes that the suggested system attempts to automate and streamline. Blood donation facilities will be able to manage their operations effectively and efficiently thanks to the system's user-friendly interface. In order to guarantee a sufficient supply of blood for patients in need, the system will also incorporate an intelligent algorithm that forecasts the demand for blood and automatically replaces the inventory. In orderto analyse donor data and find potential donors, the system will also use machine learning techniques, which will eliminate the need for expensive advertising efforts. The proposed intelligent blood bank system is anticipated to save costs, boost blood availability for patients in need, and enhance the effectiveness of blood donation and management procedures. We think the system will have a big impact on the healthcare sector and could perhaps save a lot of lives in dire circumstances.
Pengaruh Model Pembelajaran Blended Learning dan Kreativitas Siswa Terhadap Hasil Belajar IPA Siswa Kelas VII
Authors: Irwansyah Andri Irwansayah , Lukman Nulhakim  , Suherman
Published: June 2023

Latar Belakang: Penelitian ini bertujuan untuk menganalisis perbedaan hasil belajar siswa antara siswa yang pembelajarannya menggunakan model pembelajaran (blended learning) dan memiliki kreativitas siswa yang tinggi dengan siswa yang pembelajarannya menggunakan model pembelajaran (discovery learning) dan memiliki kreativitas siswa yang tinggi. Metode: Penelitian ini menggunakan pendekatan metode kuantitatif. Jenis penelitian ini menggunakan metode eksperimen faktorial 2x2. Populasi penelitian yang digunakan adalah seluruh siswa kelas VII SMPN Labuan. Hasil: Hasil penelitian menunjukkan bahwa: 1) Terdapat perbedaan hasil belajar IPA antara siswa yang kegiatan pembelajarannya menggunakan model blended learning dan siswa yang menggunakan model pembelajaran discovery learning. 2) Terdapat perbedaan hasil belajar IPA antara siswa yang memiliki kreativitas tinggi dan siswa yang memiliki kreativitas rendah. 3) Terdapat perbedaan hasil belajar IPA antara siswa yang menggunakan model blended learning dan memiliki kreativitas tinggi dengan siswa yang menggunakan model pembelajaran discovery dan kreativitas tinggi. Kesimpulan: Terdapat perbedaan hasil belajar IPA antara siswa yang menggunakan model blended learning dan memiliki kreativitas rendah dengan siswa yang menggunakan model pembelajaran discovery dan memiliki kreativitas rendah.
Phitoremidiation of Combination Pistia Stratiotes and Eichhornia Crassipes Towards Changes in Waste Liquid Waste Changes and Plant Morphological Structure
Authors: Endah Rita Sulistya Dewi  , Nur Kayati  , Maria Ulfah
Published: June 2023

Background: Tofu liquid waste tofu contains a low pH of 3 (acidic), because in the manufacturing process there is the addition of a prickly heat, it will cause pollution. One of the efforts to minimize pollution is by doing phytoremediation by combining Pistia stratiotes and Eichornia crassipes. The purpose of this study was to determine the effect of phytoremediation Pistia stratiotes and Eichornia crassipes on changes in pH and plant morphology. Methods: The method used was an experiment with four treatments and three replications by combining 0 g (control) biomass (P0), 75 g Pistia stratiotes and 25 g Eichhornia crassipes (P1), 50 g Pistia stratiotes and 50 g Eichhornia crassipes (P2), and 25 g of Pistia stratiotes and 75 g of Eichhornia crassipes (P3) which will be phytoremediated into four liters of waste with a concentration of 25%. The experimental data were processed by analysis of variance at the 5% level. Results: The results showed that the four treatments were able to increase the pH value of tofu liquid waste for P1 with an average of 6.0 while P0, P2 and P3 had an average pH of 5.7. Conclusions: The morphological structure that showed the best results was P3 with green leaves and stems.
Minería, pirquineros y la crisis en una localidad del Norte Chico
Authors: Tapia Maturana Benjamín
Published: June 2023

Este trabajo busca dar cuenta de aproximaciones preliminares del estado de los trabajadores de la minería y su producción en el valle de Cogotí hacia finales del siglo XIX. A través de este, se logra demostrar de que existen dos importantes variables que condicionan parte de la crisis de producción minera. En primer lugar, las malas condiciones de vida que tienen los trabajadores y que también lo tienen la élites terratenientes del lugar. Sumado a esto, los problemas de conectividad, la falta de instalaciones de fundición y la distancias con los centros de exportación, dificultaron, ante una crisis global de la minería, la inversión en mejores condiciones de extracción, dejando a la suerte de los trabajadores la producción minera de la zona.
THE DESCRIPTION OF SELF CONTROL IN PERPETRATORS OF CYBERBULYING
Authors: Anastasya Yara Andita , Julistia Rini , Astuti Widi
Published: June 2023

Peningkatan penggunaan teknologi dan informasi dapat meningkatkan resiko terjadinya fenomena cyberbullying. Salah satu faktor dari cyberbullying adalah kontrol diri. Individu yang memiliki kontrol diri tinggi akan mampu untuk mengarahkan dan mengendalikan diri jika dihadapkan pada situasi yang tidak sesuai dengan harapan. Sebaliknya, individu yang memiliki kontrol diri rendah kurang mampu untuk mengarahkan dan mengendalikan diri sehingga cenderung berperilaku negatif. Metode yang digunakan dalam penelitian ini yaitu kuantitatif deskriptif dengan pengambilan sampel menggunakan cluster random sampling dengan jumlah sampel sebanyak 88 siswa. Instrumen yang digunakan dalam penelitian ini adalah skala kontrol diri. Teknik analisis data yang digunakan dalam penelitian ini merupakan analisis deskriptif. Hasil penelitian ialah pelaku cyberbullying berada pada kontrol diri sedang. Kontrol diri tinggi mengartikan siswa mampu mengontrol perilaku, kognitif dan keputusan sehingga mampu mengendalikan tingkah laku dalam berbagai situasi agar memperoleh konsekuensi positif. Kontrol diri rendah mengindikasikan siswa melakukan hal-hal yang kurang dapat diterima oleh lingkungan sekitar khususnya lingkungan sekolah. Semakin tinggi kontrol diri seseorang maka semakin menurun pula perilaku atau tindakan negatif yang dilakukan. Kontrol diri yang belum optimal disebabkan oleh rendahnya aspek-aspek kontrol diri berupa kontrol perilaku, kontrol kognitif dan kontrol keputusan. Aspek yang paling rendah ialah kontrol perilaku, menyatakan bahwa pelaku cyberbullying memiliki kecenderungan untuk menghabiskan waktu bersama teman sebaya sehingga tidak mampu mengontrol perilaku diri dengan optimal.
EFFECT OF JOB DEMAND ON TURNOVER INTENTION WITH WORKPLACE WELL-BEING AS MODERATOR OF DOCTOR AND NURSE AT PT. X
Authors: Fitriani Rahmadita Anisa , - Zamralita , Idulfilastri Rita -
Published: June 2023

Tujuan penelitian ini adalah untuk mengetahui pengaruh job demands terhadap turnover intention dengan workplace well-being sebagai moderator pada dokter dan perawat di PT. X. Penelitian ini menyertakan 90 karyawan. Karakteristik dalam penelitian ini, yaitu (a) dokter dan perawat, (b) sudah bergabung dengan kontrak kerja minimal 1 tahun, (c) berjenis kelamin pria dan wanita, dan (d) berusia 20-45 tahun. Teknik sampling yang digunakan ialah purposive sampling. Variabel job demands dalam penelitian ini diukur dengan menggunakan The Job Demands-Resources Questionnaire. Variabel turnover intention karyawan dalam penelitian ini diukur dengan menggunakan Turnover Intention Questionnaire. Variabel workplace well-being dalam penelitian ini diukur dengan menggunakan Workplace Well-Being Questionnaire (WWQ). Hasil penelitian ini menunjukkan bahwa ada adanya pengaruh job demands terhadap turnover intention dengan workplace well-being sebagai moderator. Kesimpulan dari hasil penelitian ini adalah workplace well-being memoderasi pengaruh job demands terhadap turnover intention, yang berarti workplace well-being dapat menurunkan pengaruh job demands terhadap turnover intention.
ASSERTIVE BEHAVIOR OF ADOLESCENTS IN PSYCHOLOGY PERSPECTIVE OF THE QUR'AN
Authors: Mela Lita Mela , Ichsan Ichsan
Published: June 2023

Adolescents experience a transitional phase from childhood to early adolescents from middle adolescents must experience a transition to adulthood. In the transition phase, assertive behavior is very important for adolescents to have in expressing feelings and thinking of them as an effort to reduce the perpetrators of deviance and psychically strengthen the victims of adolescent deviance. The purpose of this study is to analyze the assertive behavior of adolescents in psychology as well as analyze the assertive behavior of adolescents from the perspective of the Qur'an. The technique used is a literature review by collecting several previous articles. The results of this study show that having Assertive behavior makes the individual understand himself, and his purpose in life, and assertive behavior make adolescents able to say right this is in line with the commands in Surah Al-Azhab verse 70 and Surah Al-Baqarah verse 42.  Able to reject and express his disapproval of the opinions of others, without offending them in line with QS. Ali Imran verse 159. Able to express pleasant and unpleasant feelings honestly in harmony with QS. An-Anfal verse 125.
THE EFFECTIVENESS OF FAMILY INTERVENTION MODEL ON PARENTS EFFECTIVE COMMUNICATION SKILLS IN SEXUAL VIOLENCE
Authors: Dewi Nur Kumala , Jati Sri Nugroho , Trisnawati Elly
Published: June 2023

Sexual violence that occurs in children's classrooms places them with a significant impact on their health and lifelong well-being. This study aimed to identify the Family Intervention Model's effectiveness on parents' practical communication skills in preventing children from acts of sexual violence in border areas. This research comprised 23 wives and 23 husbands from Kecamatan Sajingan Besar. Qualitative data was collected with observations. During the research, the Parents Effective Communication Scale was used as means of quantitative data collection. The pre-test scale was given in the rapport-building session, and the post-test for the last session of intervention. The data has been analyzed using Wilcoxon Test. The Wilcoxon test showed the Z value is -5.437 with a significance value (p-value) of 0.000. The test significance value (p-value) is smaller than 0.05 (0.000 < 0.05), so there was a significant difference in parents' effective communication after the intervention.Keywords: effective communication; family intervention models; sexual violence
Evaluating the combustion process of methane fired cross draft ceramic kiln for efficiency and sustainability
Authors: Abubakar Ezra , Mbidomti Sunday , Lawan Mary , Abubakar Nasruddeen
Published: June 2023

Sustainable ceramic production is not only dependent on the adoption of renewable fuel, but also on combustion proficiency, efficient fuel utilization, and thermal energy released. This study reports on the thermal evaluation of a cross-draft ceramic kiln, with a view to determine the efficiency of the combustion process. The methodology involved firing the kiln to determine the equivalent ratio, stoichiometric air-methane ratio, enthalpy of formation of reactants and products, and the thermal energy liberated from the firing process. The results indicated that: 1000°C is attainable in 7 hours and 30 min at a firing rate of 136.97 sec/°C, fuel consumption rate of 1L/61.6 sec and average temperature of 613.4°C. The results also showed that, enthalpies of formation of products and reactants of -74,897 and -557,376.843 were generated at air-methane equivalent ratio of 1 : 5 and stoichiometric ratio of 9.818. This translated to 57.18% of air available for the combustion process and a 42.82% deficiency. The study concluded that though the combustion process of the methane fired kiln was weak, resulting in thermal energy loss of 39.9%, there was an energy utilization of up to 60.1%.
Proteomic, miRNA and bacterial biomarker patterns in atopic dermatitis patients and their course upon anti-IL-4Rα therapy
Authors: Francuzik Wojciech , Pazur Kristijan , El-Mahmoud Hanin , Kraft Magdalena , Worm Margitta
Published: June 2023

Background: Identification of biomarkers is required for a
systems medicine approach and personalized treatment in AD. These
biomarkers may not only aid in diagnosing but also might be suitable to
predict the effectiveness of targeted treatment. Objective: We
aimed to identify proteomic, microbial, and miRNA biomarkers in atopic
dermatitis patients and investigated their course in relation to the
clinical response upon anti-IL-4Rα therapy. Methods: Proteomic
and miRNA screening was performed in AD patients in comparison to
healthy controls. Differentially regulated serum proteins, miRNA, and
selected skin microbiota were measured consecutively in 50 AD patients
before and upon systemic dupilumab treatment. A random forest classifier
was used to predict the outcome of dupilumab therapy based on the
initial biomarker patterns. Results: We identified 27 proteomic
candidates, miRNA, and 3 microbial strains to be dysregulated in AD.
Besides the well-known chemokine CCL17 other proteins i.e., CCL13,
CCL22, E-selectin and BDNF were differently regulated and significantly
associated with treatment response. By contrast neither the microbial
changes nor the miRNA pattern were found to be associated with treatment
response upon dupilumab treatment. Conclusion: AD patients
display defined dysregulations regarding their systemic proteomic serum
profile, miRNA patterns, and their skin microbiome. The proteomic
profile and selekted skin bacteria changed profoundly upon anti-IL-4Rα
therapy which was associated with an overall clinical response. This was
not seen in miRNA-related biomarkers. Our findings support the
hypothesis that biomarker profiles reflect treatment responses and may
in the future be used to develop a personalized medicine approach for
the treatment of atopic dermatitis patients.
Zoonotic Hantaviridae with global public health significance
Authors: Chen Ji-Ming , Chen Rui-Xu , Gong Huan-Yu , Wang Xiu , Sun Ming-Hui , Ji Yu-Fei , Tan Su-Mei , Shao Jian-Wei
Published: June 2023

Hantaviridae currently encompasses seven genera and 54 species.
Multiple hantaviruses, such as Hantaan virus, Seoul virus,
Dobrava-Belgrade virus, Puumala virus, Andes virus,
and Sin Nombre virus, are highly pathogenic to humans. They cause
hemorrhagic fever with renal syndrome (HFRS) and hantavirus
cardiopulmonary syndrome or hantavirus pulmonary syndrome (HCPS/HPS) in
many countries. Some hantaviruses infect wild or domestic animals
without causing severe symptoms. Rodents, shrews, and bats are
reservoirs of various mammalian hantaviruses. Studies on the genomics,
taxonomy, evolution, replication, transmission, pathogenicity, and
control of hantaviruses, as well as patient treatment, have made
significant advances in recent years. Meanwhile, novel hantaviruses
infecting bats, rodents, shrews, amphibians, and fish have been
identified. This systematic review compiles these advancements to aid
researchers and the public in better recognizing this zoonotic virus
family with global public health significance.
Antihypertrophic effects of the seed ethanolic extract of Aframomum pruinosum Gagnep. (Zingiberaceae) against isoproterenol-induced cardiac hypertrophy in male Wistar rat
Authors: Nguelefack Telesphore , Goumtsa Ariane Falone , Nguelefack-Mbuyo Elvine Pami , Nokam Florence , Koho Cédric Wamba , Dial Cherif Mouhamed Moustapha
Published: June 2023

The seeds of ethanolic extract Aframomum pruinosum (EE) are
popularly used in the management of cardiovascular conditions. This
study was undertaken to evaluate the capacity of EE to prevent the
development of cardiac hypertrophy in rats. Isoproterenol (0.3
mg/kg/day, sc) was injected to male rats alone or concomitantly
with EE (37.5, 75, or 150 mg/kg, per os) or propranolol (20
mg/kg/day, per os) for 7 consecutive days and Systolic blood
pressure (SBP), diastolic blood pressure (DBP), and heart rate
measurements were performed. Cardiac homogenates were used to assay
myeloperoxidase (MPO), superoxide dismutase (SOD), catalase, nitric
oxide (NO) and reduced glutathione (GSH). Also, sections of heart tissue
were stained with Hematoxylin-Eosin, Masson trichrome, or for
immunohistological labelling of atrial natriuretic peptide (ANP).
Chemical profiling of EE was done by gas chromatography-mass
spectrometry (GC-MS). Isoproterenol administration caused a decline in
SBP and DBP (p < 0.001). Heart rate, cardiac mass,
cardiomyocyte surface, and MPO levels were significantly (p <
0.001) increased. All these alterations were significantly prevented (p
< 0.01 and p < 0.001) by EE. EE inhibited immune
cell infiltration and cardiac fibrosis elicited by isoproterenol
injection. The overexpression of ANP in the atrium and ventricle induced
by the isoproterenol was significantly (p < 0.001) prevented
by EE. GC-MS analysis showed that EE possesses many compounds mainly
nerolidol 2. EE possesses antihypertrophic effect against
isoproterenol-induced cardiac hypertrophy that may result from its
antifibrotic, anti-inflammatory properties, as well as its capacity to
down regulate the expression of ANP.
Induced Seismicity Forecasting with Uncertainty Quantification: Application to the Groningen Gas Field
Authors: Kaveh Hojjat , Batlle Pau , Acosta Mateo , Kulkarni Pranav , Bourne Stephen J , Avouac Jean Philippe
Published: June 2023

Reservoir operations related to natural gas extraction, fluid disposal,
carbon diox-

ide storage, or geothermal energy production, are capable of inducing
seismicity. Mod-

eling tools have been developed that allow for quantitative forecasting
of seismicity based

on operations data, but the computational cost of such models and the
difficulty in rep-

resenting various sources of uncertainties make uncertainty
quantification challenging.

We address this issue in the context of an integrated modeling
framework, which com-

bines reservoir modeling, geomechanical modeling, and stress-based
earthquake forecast-

ing. We use the Groningen gas field as a case example of application.
The modeling frame-

work is computationally efficient thanks to a 2-D finite-element
reservoir model which

assumes vertical flow equilibrium, and the use of semi-analytical
solutions to calculate

poroelastic stress changes and predict seismicity rate. The earthquake
nucleation model

is based on rate-and-state friction and allows for an initial strength
excess so that the

faults are not assumed initially critically stressed. The model
parameters and their un-

certainties are estimated using either a Poisson or a Gaussian
likelihood. We investigate

the effect of the likelihood choice on the forecast performance and we
estimate uncer-

tainties in the predicted number of earthquakes as well as in the
expected magnitudes.

We use a synthetic catalog to estimate the improved forecasting
performance that would

have resulted from a better seismicity detection threshold. Finally, we
use tapered and

non-tapered Gutenberg-Richter distributions to evaluate the most
probable maximum

magnitude over time and account for uncertainties in its estimation. We
show that the

framework yields realistic estimates of the seismicity model
uncertainties and is appli-

cable for operational forecasting or to design induced seismicity
monitoring. It could also

serve as a basis for probabilistic traffic-light systems.
An investigation into some misconceptions about Mass and Volume by Junior Secondary School learners in Eswatini
Authors: Olayinka Adesola A. , Akintola Timothy
Published: June 2023

Mass and Volume are important fundamental concepts in Mathematics and
they are normally introduced at the Junior Secondary School level across
Swaziland. However, simple as the concepts  appear to be, it has been
observed, as presented in recent annual diagnostic reports, that
learners repeatedly make some errors  informed by their misconception
about these measurements. This paper investigates the causes of the
common errors with a view to arresting the trend. 200 students and 15
science teachers were randomly selected from 5 secondary schools in
Manzini region as a representation of the other three regions in
Swaziland. A combination of cluster sampling and rating scale analysis
was employed. Responses collected from questionnaires administered in
the course of the work were thoroughly analyzed and interpreted. Some
recommendations were also suggested.
IFMN Model: An Advanced Classification Architecture for Intrusion Detection with HYFSPSO Method
Authors: Kumar Neeraj , Sharma Sanjeev
Published: June 2023

Intrusion Detection Systems (IDSs) are crucial in protecting IoT
networks from unauthorized access and security threats. The ability to
detect anomalies and suspicious activities in real-time is vital for
preventing cyber-attacks and minimizing the damage caused by them.
Traditional IDSs have relied on signature-based approaches, which are
limited in their ability to detect novel and unknown attacks. To
overcome these limitations, this paper proposes a novel deep learning
architecture named as Inverted Funnelized Multilayer Network (IFMN) for
detecting intrusions in IoT networks. The proposed approach for
intrusion detection employs a feature selection model that uses a Hybrid
Yellow saddle goatfish algorithm and Particle Swarm Optimization
algorithm for Feature Selection (HYFSPSO) to identify the optimal
features. The effectiveness of the selected features is evaluated using
a decision tree (DT) classification method, ensuring only the most
informative features are used in the deep learning architecture for
intrusion detection. For analyzing and proving the effectiveness of our
scheme the current research have used three benchmark datasets i.e.
KDD-CUP99, NSL-KDD and UNSW-NB15 datasets. The simulations of the
proposed architecture are conducted in MATLAB and evaluated using
performance matrices. While comparing the outcomes on 3 datasets results
revealed that proposed HYSGPSO-DL based IDS approach is more effective
on NSL-KDD and UNSW-NB15 datasets with an accuracy of 99.96% and
99.80%, while as it achieved an accuracy of 99.53% on KDD-CUP99
dataset. Additionally, comparative analysis with existing intrusion
detection systems shows that our proposed scheme outperforms the
state-of-the-art methods.
Density-Driven Gravity and Layer Formation - A New Framework for Understanding Matter in the Universe
Authors: Schouw Wesley Jason
Published: June 2023

In this manuscript, I introduce an alternative hypothesis concerning the
nature of gravity and its influence on the interactions between
celestial objects. I propose that gravity is not an attractive force
between objects with mass but arises from differences in the density of
a fluid-like substance permeating the universe [1][2]. This
hypothesis offers a potentially unifying explanation for gravitational
effects and carries significant implications for our understanding of
the universe and the development of new technologies [3]. Moreover,
I discuss the formation of density layers as high-density points extend
into space.
Sarcosaprophagous dipterans associated with differentially-decomposed substrates in Atlantic Forest environments
Authors: Barbosa Taciano Moura , Jales Jessica Teixeira , Medeiros Jucélia Rossana , Gama Renata Antonaci
Published: June 2023

Sarcosaprophagous flies may show temporal variations in terms of their location and colonization in ephemeral resources, in addition to their richness and abundance changing according to the substrate age. The present study examined the influence of decomposition time on the: (i) composition of the sarcosaprophagous dipterofauna; (ii) sexual proportion of the collected specimens; and (iii) the stage of sexual maturity of female flies (Calliphoridae and Sarcophagidae). For this, we used chicken liver with different decomposition times (0h, 24h, 48h, and 76h) for the collection of adult flies. The results showed that: i) the assemblages were most diverse and abundant in more decomposed baits; ii) Calliphoridae was the most abundant taxa in all treatments; iii) the reproductive stage varied according to the age of the substrate, with high rates of mature or pregnant females in the older substrates; and iv) the number of males blowflies was higher in older baits, but it did not vary for flesh flies. Thus, this work demonstrates experimentally that the substrate age is an influencing factor in the composition of sarcosaprophagous flies’ assemblage, and it indication of the dipterans potential as primary or secondary colonizers throughout colonization of ephemeral resources.
Climatic niche as a modeler of the distribution pattern of Schinopsis brasiliensis in the Neotropical
Authors: De Medeiros Ana Paula , Mariano Erich De Freitas , Alves Marcelo Menezes , De Araújo Maria De Fátima
Published: June 2023

Schinopsis brasiliensis Engl. (Anacardiaceae) is a woody medicinal plant interesting to research and conservation due to timber extraction, high pharmacological potential and cultural value in the Brazilian semi-arids. In this research, we modeled the potential distribution of the species in the Neotropical, identified the climate limiting factors of its distribution and measured the percentage of adequate protected areas. The model was generated in the Maxent software, through the combination of 469 registers of the species occurrence and nine climate variables from the WorldClim data base and presented good development  (AUC = 0.976).  The potentially adequate areas were estimated along the dry diagonal in South America, in addition to fragmented areas at the coast of Peru and Ecuador. Precipitation, temperature and atmospheric humidity were the most influential variables on the prediction of climatically viable areas for the species. The results indicate low representation of protected areas (0.003%) in highly adequate areas, which demonstrates the necessity of expansion, implementation of measures of conservation and management of S. brasiliensis. The findings in this study, therefore, can be used for scientific support on delineating these measurements.
New records and frugivory diet of the Pionus maximiliani (Aves: Psittacidae) for Pernambuco, Brazil
Authors: Da Silva Leonardo Barbosa
Published: June 2023

The occurrence of Pionus maximiliani (Kuhl, 1820) in the state of Pernambuco is characterized by few documented reports and little ecological information. Therefore, the aim of this study is to describe new records of the species and provide information about its frugivorous diet and foraging behavior (consumption of pulp and seeds). The observations were carried out in the municipality of Olinda. During the months of November and December 2020 and January 2021 (38 events) The birds were monitored during foraging activity on the fruits of five tree species, including Mangifera indica L. and Psidium guajava L. These observations contribute to a better understanding of the occurrence and feeding ecology of the Scaly-headed Parrot in the state of Pernambuco.
First record of Sphaerobolus stellatus Tode (Basidiomycota, Geastraceae) from the Amazon, Brazil
Authors: Santana Marcos Diones Ferreira , Couceiro Sheyla Regina Marques
Published: June 2023

Sphaerobolus stellatus Tode is a fascinating gasteroid fungus that is distinguished from other fungi by the diminutive morphology of the starry basidiome when mature and its peculiar strategy of spore’s dispersion. This taxon ejects the gleba for a considerable distance as if it was cannon, and therefore is popularly known as artillery fungus. Although the species is cosmopolitan, records are seldom in regions such as South America, and many of them require greater attention due to the absence of important morphological characters. In Brazil, the South American country with most records, the distribution was restricted to a few sites, none of them in the Amazon. This study describes the occurrence of S. stellatus from the Amazon, contributing to the understanding of its geographical distribution and making the material available for future diversity studies.
Atividade Predatória de Insetos Aquáticos (Odonata: Libellulidae e Coleóptera: Hydrophilidae) em Condições Laboratoriais
Authors: Reis Karina Suelen Santana , Braga Cesar França , Santos Thuareag Monteiro Trindade dos
Published: June 2023

A predação regula o funcionamento das comunidades e afeta a dinâmica populacional dos organismos no ambiente. Os principais predadores aquáticos estão representados pelos invertebrados da classe Insecta, que se alimentam de organismos vertebrados e/ou invertebrados. Dentre os vertebrados, os girinos são os mais consumidos. Este experimento estudou a atividade predatória dos insetos aquáticos (Odonata: Libellulidae e Coleóptera: Hydrophilidae) sobre girinos de Rhinella sp. e Physalaemus sp. na cidade de Capitão Poço, Pará, Brasil. O experimento contou com seis tratamentos realizados em duas fases (dia e noite). Foram observadas diferenças significativas somente entre os tratamentos 1 (controle) e 2 (Libellulidae) (F= 7,21; p= 0,00). A atividade predatória dos insetos foi realizada em ambas as fases, não havendo diferenças significativas (F= 1,33; p= 0,26). O sucesso da família Libellulidae está relacionado as estratégias e aspectos morfológicos que suas larvas utilizam no ato de predação. Diferentemente, a família Hydrophilidae, possui características que podem ter colaborado na baixa atividade predatória observada.
Fluoride removal from phosphogypsum: A study on pre-industrial scale and its mathematical analysis
Authors: Avşar Cemre , Ertunç Suna
Published: June 2023

This study discusses fluoride removal efficiency from phosphogypsum (PG) on a lab-scale experiment matrix designed by the Box-Behnken method. Temperature, solid/liquid ratio, and time were supposed to influence fluoride removal efficiency from PG by various salt solution media. Experiment matrices were designed according to salt solution types: seawater, 5% NaCl, and 10% NaCl solutions. The factor-response analysis showed a direct proportionality between fluoride removal efficiency and temperature. The optimum fluoride removal conditions based on the experimental data obtained by the multi-variable design matrix were determined by the Design Expert v.12 software. The optimum temperature, time, and solid/liquid ratio were 80 ?C, 3 h, and 0,174 for seawater. The software predicted a 73,31% fluoride removal efficiency at the optimum conditions, whereas the experimental value was 74,99%. Since the actual vs. predicted data show high consistency, results might also be useful when industrial-scale fluoride removal to a predetermined level is required prior to a particular use of PG. PG has a high potential as an alternative raw material, and fluoride removal might be important in recycling applications. This study provides a novel pre-industrial scale fluoride removal inventory, especially for the fertilizer and cement industry.
Molecular characterization of Dittrichia viscosa (L.) greuter (Asteraceae) populations revealed by ISSR markers and chloroplast (CPDNA) tRNL intron sequences
Authors: Sevindik Emre , Bozkurt Makbule , Yilmaz Mehmet , Şenyüz Ezginur , Paksoy Mehmet
Published: June 2023

In this study, molecular characterization of Dittrichia viscosa (L.) Greuter
populations collected from Ayd?n province was carried out based on ISSR
technique and chloroplast DNA trnL intron sequences. 10 ISSR primers were
used to determine the molecular characterization among the populations. For
cpDNA trnL intron amplification, trnC and trnD primers were used. In ISSR
analysis, a total of 70 bands were obtained. The polymorphism rate was
determined to be approximately 94.28%. According to the ISSR analysis, the
UPGMA dendrogram consisted of three groups. For cpDNA trnL intron sequences,
phylogenetic analyses were obtained along with genetic distances. For
populations, cpDNA trnL intron sequences were determined between 454 and 472
bases. The maximum likelihood phylogenetic tree consist of two clades. In
addition, cpDNA trnL intron sequences of some species (Chrysophthalmum
Pulicaria Inula Jasonia Stenachaenium Carpesium Blumea Iphiona Limbarda
Rhanterium Lifago Duhaldea Chiliadenus) of Asteraceae family from NCBI with
Dittrichia viscosa populations phylogenetic tree was constructed. As a
result of the study, it was determined that the polymorphism rate of
Dittrichia viscosa populations obtained by ISSR-PCR was higher than the
results obtained from trnL intron sequences.
Akıllı Mobil Cihazlarda YOLOv7 Modeli ile Nesne Tespiti
Authors: KARADAĞ Batuhan , ARI Ali
Published: June 2023

Derin öğrenmeye dayalı güncel nesne tespit algoritmalarından biri olan YOLOv7 modelinin Microsoft COCO verisetinde aldığı %51.2’lik ortalama kesinlik başarısı, diğer nesne tespit yöntemlerinin ilerisinde olduğunu kanıtlamıştır. YOLO ilk sunulduğu dönemden itibaren, hız ve doğruluk açısından etkili olması sebebiyle ticari alandaki nesne tespit problemlerinde tercih edilen bir model olmuştur. Genellikle derin öğrenmeye dayalı sistemlerin çalıştırılabilmesi için yüksek kapasitede donanımlara ihtiyaç duyulmaktadır. Bu çalışmada, günümüzde ticaretin önemli araçlarından biri haline gelen akıllı mobil cihazlarda nesne tespiti yapılabilmesi için YOLOv7 modelinin sunucuda aktif edilmesi ile akıllı mobil cihazlarda grafik işlemci birimi kullanılmadan nesne tespiti yapılabilmesi amaçlanmıştır. Yapılan çalışma ile YOLOv7 nesne tespit algoritması, iOS işletim sistemine sahip mobil cihazlarda başarı ile çalıştırılmıştır. Bu sayede mobil cihazlarda çekilen bir görüntü veya halihazırda galeride bulunan herhangi bir görüntü sunucuya aktarıldıktan sonra, doğruluk ve hız açısından etkili bir şekilde görüntü içerisinde bulunan nesnelerin tespitinin gerçekleştirilmesi sağlanmıştır.
The Valuable Plurality of the Citizen Sciences
Authors: Van Oudheusden Michiel , Berti Suman Anna , Huyse Tine , Huyse Huib , Medvecky Fabien
Published: June 2023

Citizen science is a multilayered concept. Although it is generally understood as a form of public engagement with science and technology, it can take various forms, with widely different roles for citizens. Despite this vastness, a “contributory” strand of citizen science dominates the field, which formally limits citizens’ roles to those of data gatherers for professional scientists or experts. This has led critics to argue that citizen science is not as inclusive, socially transformative, or democratizing as its advocates claim, and to appeals by scholars, practitioners, and policymakers for more dialogue and deliberation in all stages of citizen science processes. In this piece, we share our reflections on these questions drawing on our experiences as participant observers in contributory citizen science projects in various parts of the world. Responding to the above critiques, we illustrate how such projects can have emancipatory potential in terms of impacting policy agendas, inciting behavioral change, and engaging hard-to-reach societal groups. We argue that the future of citizen science lies in pluralizing the citizen sciences by experimenting with various modes of democratic representation, participation, and deliberation.
PENGARUH SOLVABILITAS, PREMI, DAN BEBAN KLAIM TERHADAP PROFITABILITAS PERUSAHAAN ASURANSI YANG TERDAFTAR DI BEI
Authors: Tanujaya Steven Putra , Rochdianingrum Widhi Ariestianti
Published: June 2023

Industri asuransi hadir sebagai wadah pertanggungan risiko bagi masyarakat. Sebagai suatu industri yang aktif, tentunya keuntungan menjadi salah satu  elemen yang menggerakkan kinerja operasinya. Penelitian ini ditulis dengan tujuan untuk menguji pengaruh solvabilitas, premi dan beban klaim terhadap kinerja profitabilitas perusahaan asuransi. Penelitian ini dilakukan selama periode 5 tahun yaitu dari tahun 2017-2021. Populasi penelitian ini adalah sebanyak 18 perusahaan asuransi yang terdaftar di Bursa Efek Indonesia (BEI). Teknik pengambilan sampel yang digunakan pada penelitian ini menggunakan teknik purposive sampling. Terdapat 10 perusahaan asuransi yang digunakan sebagai sampel dalam penelitian ini. Metode analisis yang digunakan dalam penelitian ini adalah metode analisis regresi linier berganda. Data yang digunakan dalam penelitian ini menggunakan data sekunder yang berupa laporan keuangan perusahaan asuransi tahun 2017-2021 yang diolah dengan menggunakan program SPSS 25. Hasil dari penelitian ini adalah kesimpulan bahwa solvabilitas dan premi tidak berpengaruh signifikan terhadap profitabilitas. sedangkan variabel beban klaim berpengaruh negatif signifikan terhadap profitabilitas.
Evaluasi Penerapan CDOB Obat Narkotika pada salah satu PBF di Jakarta Timur
Authors: Priandana Muhamad Fikri Satria , Aulifa Diah Lia
Published: June 2023

Distribusi obat harus memenuhi aspek yang tercantum pada Cara Distribusi Obat yang Baik (CDOB) agar obat dapat ditangani dengan baik untuk menghindari kerusakan atau penyalahgunaan obat. Produk obat narkotika merupakan obat yang dapat menyebabkan penurunan kesadaran dan hilangnya rasa nyeri serta menyebabkan kecanduan sehingga berpotensi tinggi untuk disalahgunakan diluar tujuan medis. Produk obat narkotika memerlukan perhatian khusus dalam penanganannya mulai dari pengadaan, penerimaan, penyimpanan sampai penyaluran ke instalasi farmasi  dibandingkan dengan obat regular. Artikel ini akan membahas evaluasi penerapan CDOB pada produk narkotika di salah satu pedangang besar farmasi (PBF) di Jakarta Timur. Penelitian dilakukan di bulan November 2022. Penelitian ini bersifat deskriptif, evaluatif serta wawancara langsung. Hasil penelitian mengenai penerapan CDOB pada produk narkotika pada salah satu PBF di Jakarta Timur menunjukan bahwa pelaksanaan aspek CDOB telah dilaksanakan dengan sangat baik dengan nilai kesesuaian 100% dari semua poin yang diamati.
Analisis ROA dan ROE Terhadap Kinerja Keuangan Pada PT. Bank Negara Indonesia (BNI) Periode 2017-2021
Authors: Agnesia Tamara , Situngkir Tiar Lina
Published: June 2023

ABSTRAKRiset ini dilaksanakan dengan maksud untuk memahami bagaimana kinerja keuangan dari PT.BNI pada periode 2017-2021 dengan menggunakan alat analisis keuangan yaitu rasio ROA dan ROE. Laporan keuangan dari PT.BNI periode 2017-2021 yang terdapat pada BEI adalah data yang digunakan pada riset ini. Riset ini menggunakan teknik analisis deskriptif kuantitatif. Dari hasil analisis rasio yang telah dilakukan, nilai yang didapatkan dari menghitung rasio ROA dan ROE pada PT.BNI berfluktuasi, artinya nilai rasio mengalami kenaikan dan penurunan.  Rasio ROA yang diperoleh dari PT.BNI pada periode 2017-2021 dikatakan kurang baik, karena perolehan nilai rata-rata ROA kurang dari ketetapan standar rata-rata industri sebesar 1,5%. Selain itu Rasio ROE yang diperoleh oleh PT.BNI pada periode 2017-2021 dikatakan kurang baik, dikarenakan nilai rata-rata ROA juga kurang dari ketetapan standar rata-rata industri sebesar 40%. Oleh karena itu, PT.BNI harus dapat meningkatkan kinerja keuangannya dengan optimal dan maksimal.Kata Kunci : ROA, ROE, Kinerja Keuangan
Early detection of phosphorus deficiency stress in cucumber at the cellular level using chlorophyll fluorescence signals
Authors: Sieczko Leszek , Dąbrowski Piotr , Kowalczyk Katarzyna , Gajc-Wolska Janina , Borucki Wojciech , Janaszek-Mańkowska Monika , Kowalczyk Waldemar , Farci Domenica , Kalaji Hazem M.
Published: June 2023

Abiotic stressors contribute to growth restriction and developmental disorders in plants. Early detection of the first signs of changes in plant functioning is very important. The objective of this study was to identify chlorophyll fluorescence parameters that change under phosphorus deficiency stress in cucumber. In this work, a trail to study the early changes caused by phosphorus deficiency in cucumber plants by analysing their photosynthetic performance is presented. Chlorophyll- a fluorescence (ChF) parameters were measured every 7 days for a period of 28 days. Measurements were made separately on young and old leaves and on cucumber fruit. Parameters that decreased during the stress were: p2G, PI abs, PI total, REo/CS o, and TRo/CSo. P deficiency decreased total electron carriers per RC ( ECo/RC), yields ( TRo/ABS ( Fv/Fm), ETo/TRo, REo/ETo, ETo/ABS and REo/ABS), fluxes ( REo/RC and REo/CSo) and fractional reduction of PSI end electron acceptors, and damaged all photochemical and non-photochemical redox reactions. Principal component analysis revealed a group of ChF parameters that may indicate early phosphorus deficiency in cucumber plants. Our results are used in the discovery of sensitive bioindicators of phosphorus deficiency in cucumber plants. Most JIP test parameters are linked to mathematical equations, so we recommend using of advanced statistical tools, such as principal component analysis, which should be considered very useful for stress identification. It has also been shown to be more effective in multivariate methods compared to univariate statistical methods was demonstrated.
Construction of Sports Management System Based on Multi-Layer Neural Network Model
Authors: Wen Jiaqi , Liang Dong
Published: June 2023

Sports administrators must do an excellent job of preparation before the game. The goal is to keep the game safe. This paper uses the BP neural network to establish the danger warning system for sports competitions. The aim is to reduce the probability of dangerous incidents in sports competitions. Then this paper determines the relevant evaluation indexes of the risk warning mode of sports competition activities. Finally, this paper makes an empirical study of the risk warning model of sports events. The results show that the risk prediction of sports matches based on the BP neural network is accurate.
Effect of IMB model nursing on patients’ self-perceived burden and cognitive function
Authors: Zhang Xiaojing
Published: June 2023

The purpose of this study is to investigate the effectiveness of a nursing intervention based on the Information-Motivation-Behavioral Skills Model(IMB Model) in patients with chronic heart failure. An average of 100 patients with chronic HF admitted to our hospital from January 2020 to December 2021 were divided into two groups. 50 patients in the experimental group were given IMB model care, and 50 patients in the control group underwent routine care measures. Patients were evaluated both before and after the intervention using the self-perceived burden scale and the Montreal Cognitive Assessment Scale. The experimental results showed that after 6 months of intervention, the self-perceived burden scores of both groups decreased, with the experimental group significantly lower than the control group. The cognitive function was higher in the experimental group than in the control group. This experiment concludes that the IMB model nursing intervention can relieve the burden of chronic heart failure, and improve the cognitive function of the disease in patients with chronic heart failure.
Títul Automatic Extraction and Discrimination of Vocal Theme Based on Quadratic Wave Equation
Authors: Liu Juan
Published: June 2023

Tune is the essential music component. Melody extraction is a crucial technique in music retrieval. The pitching order of polyphonic music is the main feature of vocal music. This paper presents an improved method of extracting vocal themes based on the quadratic wave equation. This paper presents a new algorithm based on the frequency spectrum characteristics of verbal signals. This method can effectively reduce the amount of computation and shorten the time of the primary melody extraction. This paper proposes a new fundamental frequency recognition model based on BP neural network, which has a good ability for secondary wave transformation. This method can improve the recognition accuracy of the primary melody model while reducing the error of melody location. This can improve the overall vocal music of the leading melody extraction precision. The analysis results of MIR-1K data show that the overall recognition accuracy of the improved theme is 2.13% higher than that of the original method. Compared with the traditional way, the average time of theme extraction is shortened by 0.06 seconds.
Application of the ADDIE Model in the Teaching Practice of Basketball Skills
Authors: Gong Wei
Published: June 2023

This paper establishes a mathematical model of basketball sports based on an ADDIE model. This paper takes basketball players’ pitching as the research object. Then use the ADDIE model method to analyze the best angle of the goal to improve the accuracy of basketball throwing. Firstly, this paper establishes the dynamic model of basketball movement and then shows the equation of basketball movement trajectory. Then this paper uses the ADDIE model to optimize and solve the best angle of basketball. At the same time, this paper proposes a motion control of basketball rotation motion using adaptive trajectory correction technology. Finally, this paper analyzes the optimal angle of a basketball's rotation projection. The numerical simulation proves that it is feasible to use the ADDIE model to solve the optimal angle of the basketball's rotating body. The method proposed in this paper achieves good results in angle correction and trajectory tracking. This method has a good application prospect in establishing the rotational projection motion model of sports tourism basketball.
Analysis of bridge foundation pile detection based on convolutional neural network model
Authors: Chen Aiping
Published: June 2023

In order to quickly and accurately detect the instability of foundation piles on concrete Bridges, an improved convolutional neural network based image recognition method for concrete bridge pile foundations was proposed. In order to improve the image quality, the entropy threshold method is used to process the image, and the two-channel convolutional neural network is designed to extract the image features fully. The improved traditional Relu activation function avoids model underfitting. Support vector machine (SVM) was used to replace Softmax classifier to improve computing efficiency. The experiment of bridge pile foundation image recognition shows that the improved convolutional neural network has significantly improved the recognition rate of the real bridge pile foundation. No matter how many degrees the image is rotated, the method in this article always maintains a high recognition rate, and the recognition rate does not fluctuate much, indicating that the algorithm in this article has good robustness to rotation and translation. In summary, the average recognition rate of the 5 groups was 96.26%. The feasibility of this method in identifying bridge pile foundation is proved.