bluuebunny/crossref_metadata_2025 huggingface dataset:
U-Plume: Automated algorithm for plume detection and source quantification by satellite point-source imagers
Authors: Bruno Jack , Jervis Dylan , Varon Daniel , Jacob Daniel
Published: August 2023

Abstract. Current methods for detecting atmospheric plumes and inferring point source rates from high-resolution satellite imagery are labor intensive and not scalable to the growing satellite dataset available for methane point sources. Here we present a two-step algorithm called U-Plume for automated detection and quantification of point sources from satellite imagery. The first step delivers plume detection and delineation (masking) with a machine learning U-Net architecture for image segmentation. The second step quantifies point source rate from the masked plume using wind speed information and either a convolution neural network (CNN) or a physics-based Integrated Mass Enhancement (IME) method. The algorithm can process 62 128×128 images per second on a single core. We train the algorithm with large-eddy simulations of methane plumes superimposed on noisy and variable methane background scenes from the GHGSat-C1 satellite instrument. We introduce the concept of point source observability Ops = Q/(UWΔB) as a single dimensionless number to predict plume detectability and source rate quantification error from an instrument as a function of source rate Q, wind speed U, instrument pixel size W, and instrument-dependent background noise ΔB. We show that Ops can powerfully diagnose the ability of an imaging instrument to observe point sources of a certain magnitude under given conditions. U-Plume successfully detects and masks plumes from sources as small as 100 kg h-1 over surfaces with low background noise and succeeds for larger point sources over surfaces with substantial background noise. We find that the IME method for source quantification is unbiased over the full range of source rates while the CNN method is biased toward the mean of its training range. The total error in source rate quantification is dominated by wind speed at low wind speeds and by the masking algorithm at high wind speeds. A wind speed of 2–4 m s-1 is optimal for detection and quantification of point sources from satellite data.
Molecular Analysis of Secondary Organic Aerosol and Brown Carbon from the Oxidation of Indole
Authors: Jiang Feng , Siemens Kyla , Linke Claudia , Li Yanxia , Gong Yiwei , Leisner Thomas , Laskin Alexander , Saathoff Harald
Published: August 2023

Abstract. Indole (ind) is a nitrogen-containing heterocyclic volatile organic compound commonly emitted from animal husbandry and from different plants like maize with global emissions of 0.1 Tg y-1. The chemical composition and optical properties of indole secondary organic aerosol (SOA) and brown carbon (BrC) are still not well understood. To address this, environmental chamber experiments were conducted to investigate the oxidation of indole at atmospherically relevant concentrations of selected oxidants (OH radicals and O3) with/without NO2. In the presence of NO2, the SOA yields decreased by more than a factor of two but the mass absorption coefficient at 365 nm (MAC365) of ind-SOA was 4.3 ± 0.4 m2 g-1, which was 5 times higher than that in experiments without NO2. In the presence of NO2, C8H6N2O2 (identified as 3-nitroindole) contributed 76 % to the all organic compounds detected by a chemical ionization mass spectrometer, contributing ~50 % of the light absorption at 365 nm (Abs365). In the absence of NO2, the dominating chromophore was C8H7O3N contributing to 20–30 % of Abs365. Indole contributes substantially to the formation of secondary BrC and its potential impact on the atmospheric radiative transfer is further enhanced in the presence of NO2, as it significantly increases the specific light absorption of ind-SOA by facilitating the formation of 3-nitroindole. This work provides new insights into an important process of brown carbon formation by interaction of two pollutants, NO2 and indole, mainly emitted by anthropogenic activities.
Application of machine learning for integrated flood risk assessment: Case study of Hurricane Harvey in Houston, Texas
Authors: Bidadian Behrang , Maxwell Aaron E. , Strager Michael P.
Published: August 2023

Abstract. Flood risk, encompassing hazard, exposure, and vulnerability is defined concerning potential losses. Machine learning techniques have gained traction among researchers to address the complexities of multi-variable flood risk assessment models and overcome issues associated with non-linear relationships. However, the focus has primarily been on flood hazard prediction rather than comprehensive risk assessment and damage estimations. Therefore, there is a need for experiments that combine risk elements using such methods. To address this need, this study utilized the Random Forest algorithm to analyze the correlations between the physical flood damage caused by Hurricane Harvey in 2017 in Houston, Texas and certain hazard, exposure, and vulnerability-related variables. The study identified poorly drained soils as the primary contributor to the losses, followed by population density and the ratio of developed lands with medium intensity. The study's findings also explored the reasons for the unexpectedly low importance of social vulnerability factors compared to the environmental justice concept. These findings and conclusions can provide insights to planners and stakeholders enhancing their understanding of the underlying causes contributing to flood risk. Future research can expand upon this study's methodology and findings by incorporating additional factors related to climate change.
Snow Water Equivalent Retrieval Over Idaho, Part B: Using L-band UAVSAR Repeat-Pass Interferometry
Authors: Hoppinen Zachary Marshall , Oveisgharan Shadi , Marshall Hans-Peter , Mower Ross , Elder Kelly , Vuyovich Carrie
Published: August 2023

Abstract. This study evaluates using interferometry on low frequency synthetic aperture radar (SAR) images to monitor snow water equivalent (SWE) over seasonal and synoptic scales. We retrieved SWE changes from nine pairs of SAR images, mean 8 days temporal baseline, captured by an L-band aerial platform, NASA's UAVSAR, over central Idaho as part of the NASA SnowEx 2020 and 2021 campaigns. The retrieved SWE changes were compared against coincident in situ measurements (SNOTEL and snow pits from the SnowEx field campaign) and to 100 m gridded SnowModel modeled SWE changes. The comparison of in situ to retrieved shows a strong Pearson correlation (R = 0.80) and low RMSE (0.1 m, n = 64) for snow depth change and similar results for SWE change (RMSE = 0.04 m, R = 0.52, n = 57). The comparison between retrieved SWE changes to SnowModel SWE change also showed good correlation (R = 0.60, RMSD = 0.023 m, n = 3.2e6) and especially high correlation for a subset of pixels with no modeled melt and low tree coverage (R = 0.72, RMSD = 0.013 m, n = 6.5e4). Finally, we bin the retrievals for a variety of factors and show decreasing correlation between the modeled and retrieved values for lower elevations, higher incidence angles, higher tree percentages and heights, and greater cumulative melt. This study builds on previous interferometry work by using a full winter season time series of L-band SAR images over a large spatial extent to evaluate the accuracy of SWE change retrievals against both in situ and modeled results and the controlling factors of the retrieval accuracy.
Apresentação de dossiê: o campo teórico da Pedagogia e seus desdobramentos na formação de pedagogos(as)
Authors: Mascarenhas Aline Daiane Nunes , Moreira Jefferson da Silva
Published: August 2023

Apresentação de dossiê: o campo teórico da Pedagogia e seus desdobramentos na formação de pedagogos(as).
Development of Smart Apps Creator Application-Based Learning Media in Production Orale Élémentaire Course
Authors: Friska Junita , Syahrin Elvi , . Fauzia
Published: August 2023

This study aims to design and develop learning media in the Production Orale Élémentaire course using the Smart Apps Creator media. The research method used is the ADDIE Research and Development (R&D) model proposed by Dick and Carry by involving five stages namely analysis, design, development, implementation, and evaluation. However, this research is limited to the development stage. The material validation results were 97% while the media validation results were 95%. The average percentage of scores obtained from the two experts is 96% very good category. So, Smart Apps Creator learning media is valid for use in Production Orale Élémentaire course.

Keywords: Learning Media, Smart Apps Creator, Production Orale Élémentaire
Diabetes Mellitus and Periodontal Disease
Authors: Fitriana Asis , Prajitno Jongky Hendro , Susanto Hermawan
Published: August 2023

Periodontitis is a disease affecting tissue surrounding the tooth structure. Systemic diseases like diabetes mellitus can have an impact on the severity of periodontitis. Diabetes is a chronic disease that develops either when there is insufficient insulin secretion by the pancreas or when the body fails to utilize the insulin it produces. Insulin is a hormone that regulates glucose levels in the blood. A rise in blood glucose levels can lead to manifestations in the oral cavity in the form of inflammation of the gingival tissue, attachment loss and alveolar bone deterioration. There is substantial evidence that diabetes is a risk factor for gingivitis and periodontitis, and the level of glycaemic control appears to be a significant determinant in this relationship.

Keywords: Periodontitis, diabetes mellitus, hyperglycemia
Articulate Storyline-Based E-Module to Improve Social Studies Learning Outcomes for Class V Elementary School
Authors: Septiana S Anastasia Anindia , Atmaja Hamdan Tri , Widiarti Nuni
Published: August 2023

The Problems at SDN Sukorejo 02 regarding the need for more utilization of technology-based teaching materials and learning outcomes are less than optimal in social studies learning. The formulation of the problem in this research is how to develop, validate and improve student learning outcomes after using e-module teaching materials based on Articulate Storyline materials on human interaction with the environment. This development research aims to develop instructional media and determine the feasibility and effectiveness of e-module media based on articulate storylines. This research was conducted using the research model R & D (Research and Development) in Sugiono, which includes ten stages, namely: (1) potential and problems; (2) data collection; (3) product design; (4) design validation; (5) design revisions; (6) product testing (7) product version; (8) trial use; (9) product revisions; (10) produce products. The research objective was to determine the results of the development and effectiveness of the articulate storyline-based module. The results of this study indicate that e-module teaching materials based on articulate storylines are teaching materials that can be used in human-environment interaction material in Social Studies class V SD. E-module teaching materials based on articulate storylines were developed by looking at the feasibility assessment by material, media and language experts in very feasible criteria. The percentage of material eligibility is 95% with possible standards, the rate of media eligibility is 94% with very achievable criteria, and the portion of language eligibility is 93% with very feasible measures. They increased student learning outcomes by 16.9%. At the same time, the results of the n-gain test on the pretest-posttest obtained an average difference in learning outcomes of 0.4922 in the medium criteria. Thus, e-module teaching materials based on articulate storylines can be used as supporting teaching materials in learning to improve student learning outcomes. The following research is expected to produce more compatible media with each device and improve students' affective and psychomotor skills.

Keywords: Social, Contextual learning, E-module, Articulate Storyline.
MENGATASI TRANSFORMATOR OVERLOAD DENGAN METODE UPRATING TRANSFORMATOR PADA GARDU DISTRIBUSI
Authors: Yasa I Wayan Sugara
Published: August 2023

Di PT. PLN (Persero) ULP Karang terdapat gardu distribusi yang mengalami masalah beban lebih (overload). Beban lebih (overload) merupakan suatu gangguan yang biasa terjadi pada transformator distribusi, namun jika dalam keadaan tersebut dibiarkan maka akan dapat berdampak dengan rusaknya peralatan listrik apabila ada arus yang mengalir. Terdapat beberapa solusi penanganan transformator apabila mengalami keadaan beban lebih (overload), yang dimana adalah sebagai berikut : Rekonfigurasi Jaringan,Pemasangan Gardu Sisip,Uprating Tranformator. Kondisi Pembebanan Transformator Sebelum Uprating sebesar 288, 67 A, Perhitungan Persentase Pembebanan Sebesar, 95%. Kondisi Pembebanan Transformator Sesudah Uprating sebesar 360,8 A. Perhitungan persentase pembebanan setelah oprating sebesar 73%. hasil analisis beserta perhitungan yang didapatkan setelah menggunakan metode ini, presentase pembebanan transformator berkurang hingga 73% dengan penambahan daya ke transformator sebesar 250 kVA. Presentase pembebanan ini berkurang dari persentase sebelumnya dengan pembebanan sebesar 95,05% dari kapasitas transformator 200 kVA. Cara penanggulan apabila terjadinya transformator yang overload salah satu metodenya yaitu uprating transformator dimana metode ini merupakan salah satu metode yang dapat digunakan khususnya pada gardu KRGK 0136 dikarenakan metode ini merupakan suatu metode penambahan daya transformator yang lebih besar dari daya sebelumnya sehingga tidak perlu membutuhkan lahan yang luas bahkan material tambahan lainnya, selain itu metode ini merupakan suatu metode yang paling efisien serta ekonomis.Kata kunci, overload, metode operating system.
Más ingenioso que ingenuo:
Authors: Amblard de Elía Susana
Published: August 2023

Este libro pretende resaltar el juego en la infancia y quitarle toda connotación de ingenuidad: lo lúdico en la niñez le aportará al observador un riquísimo relato, según el contexto, la propuesta, el tiempo y el espacio en los que surja. A través del juego la subjetividad se constituye, la identidad se define, lo traumático se elabora y la producción simbólica se enriquece. En tanto lenguaje, en su despliegue podrá apreciarse cómo el niño a través del juego organiza su pensamiento, sintetiza, categoriza, infiere, metaforiza, diferencia entre fantasía y realidad, muestra sus límites, sus capacidades e incapacidades. Estas líneas profundizan conceptos respecto al juego y al jugar. Consideramos su importancia tanto para profesionales de educación y salud en general, como para los psicopedagogos en particular.
The Effect of Foreign Debt on the Nigerian Economy
Authors: Sylvanus Ushie Oko
Published: August 2023

This study evaluated the effect of foreign debt on the Nigerian economy. Ex-post facto research design was adopted for the study and secondary data were used. A regression model was adopted for the analysis. The population of the study was three hundred and fifty staff of the debt management office Abuja. The sample size for the study was one hundred and fifty respondents that were selected scientifically from various departments of the debt management office. The study revealed that foreign debt has a positive and significant effect on the Nigerian economy. The study concluded that foreign debt is an important factor for the economic growth of developing nations like Nigeria if well managed. It was recommended that financial experts, policy makers, and Central Bank of Nigeria (CBN) should integrate suitable as well as appropriate measures towards ensuring effective management of foreign debt in order to enhance gross domestic product as well as the economic growth and development of Nigeria. That the Nigerian government should put in place more management techniques and restriction on access to external or foreign debt as most of the external debt cannot be accounted for in the infrastructural projects claimed by successive administrations and that external debts should be directed towards encouraging real investment so as to increase capital formation and achieve sustainable economic growth and development in the country.
Theory and Application of Two (2) Iterative Imputation Approaches to Nigeria Annual Rainfall Data Reported
Authors: E.M. Ogbeide , M. Shuaibu , U.I. Siloko
Published: August 2023

This research work is based on missing data statistics. Missing data occur where one or more of the observations in a dataset are completely not available. This work focuses on two (2) iterative imputation approaches. These are the Regression approach and the Expectation Maximization iterative imputation. These approaches were used to analyze the secondary data of the thirty-six (36) states in Nigeria on the rainfall data collected from the Annual Abstract of Statistics 2016. The evaluation criteria and comparison of these two approaches were done based on the error efficiency using the Raw Bias (RB), Mean Squared Error (MSE), Root Mean Squared Error (RMSE) and variance. The analysis of the result showed that the Expectation Maximization (EM) method was better for this specific data as reported in the Annual Abstract of Statistics 2016, compared to the other approaches. This was seen in the smaller errors values from the computed cases. It is therefore recommended that this approach should be used for obtaining missing data like other rainfall data in Nigeria. These two imputation approaches are good for making available missing data in observations.
Halkla İlişkiler ve Stratejik Sessizlik: Kurumsal Niyetler Üzerine Nitel Bir Analiz
Authors: AKÇAY Ebru
Published: August 2023

Bir halkla ilişkiler stratejisi olarak sessizlik, halkla ilişkilerin görmezden geldiği konuların başında gelmektedir. Kriz iletişiminde kurumların ve markaların sessizlik stratejilerinden ziyade ne söylediklerine odaklanması, bu suskunluğun en açık örneği konumundadır. Ne var ki, mükemmel halkla ilişkilerin şeffaflık ve dürüstlük gibi normatif değerlerinin karşıtı olarak konumlandıran sessizlik, halkla ilişkiler pratiğinin temelinde yer almaktadır. Kamuların beklentileri olduğu halde sessizliğin kasıtlı ve bilinçli olarak tercih edilmesi anlamına gelen “stratejik sessizlik” kavramı; toplumsal, çevresel ve politik sorunların yaşandığı toplumsal infial dönemlerinde daha kritik hale gelmektedir. Afet dönemlerinde sessiz kalan markalara yönelik kamuoyu baskısı, markaların ve kurumların sessizliklerini bozmalarına yol açmaktadır. Çalışma, 6 Şubat 2023’te meydana gelen depremin ilk üç günü sessiz kalan dokuz markanın, kamuoyu tepkilerinin ardından sessizliklerini nasıl açıkladıklarını ve sessizliklerini ne şekilde çerçevelediklerini araştırmayı amaçlamaktadır. Bu amaç doğrultusunda, çalışmada söz konusu dokuz markanın Twitter’da 9 Şubat 2023 tarihinde yaptıkları kamuoyu açıklamaları bir halkla ilişkiler faaliyeti olarak ele alınmış ve açıklamaların tematik analizi gerçekleştirilmiştir. Tematik analizde, sessizliğin işlevleri olarak tanımlanan “bağlantı”, “etkileme”, “ifşa”, “yargılama” ve “harekete geçme” işlevleri analiz kategorileri olarak kullanılmıştır. Analiz sonucunda; sessizliklerini duyarsızlık ve duygusuzluk ile ilişkilendiren kamu kategorilerinin tepkilerine karşılık, markaların sessizliklerini etik değerlerle ilişkilendirdikleri yani sessizliklerini “törensel sessizlik” olarak işaretledikleri ortaya konmuştur.
Nefret Söylemi Mecrası Olarak Sosyal Medya: Ekşi Sözlük’te “Bizim Çocuklar” Örneği
Authors: GÜMÜŞ Samet
Published: August 2023

Nefret söylemi kavramı ile günlük hayatta sıklıkla karşılaşılmakta ve bu durum sıradanlaşmış bir hal almaktadır. İnternet dünyasındaki gelişmeler ve yeni medyanın kullanıcılara sağladığı imkanlar neticesinde günlük hayatta yer edinen nefret söylemi çevrimiçi dolaşıma sokulmakta, yeniden üretilmekte ve niceliği artarak yayılmaktadır. Türkiye’deki internet siteleri içerisinde en çok ziyaret edilen ve en popüler sosyal medya platformları arasında bulunan Ekşi Sözlük’te her gün yüz binlerce entry (içerik) girilmekte ve yaklaşık iki milyon sayfa görüntülenmektedir. Entry sayısının fazlalığı, denetim mekanizmasının olmaması ve kullanıcıların anonim kimlikli olması Ekşi Sözlük’te nefret söylemi içeren paylaşımların yer almasına neden olmaktadır. Bu çalışmada Ekşi Sözlük’teki Türkiye A Milli Erkek Futbol Takımı’nı tanımlayan “Bizim Çocuklar” başlığında bulunan entrylerdeki nefret söylemi içerikleri belirlenmekte ve kategorilendirme yapılmaktadır. Veri analiz programı Nvivo12 kullanılarak entryler ve nefret söylemi unsurları sayısal içerik analizi yöntemiyle incelenmektedir. Araştırma sonucunda Ekşi Sözlük’teki “Bizim Çocuklar” başlığında yer alan entrylerdeki nefret söylemi içeren unsurların EURO 2020 Futbol Şampiyonası’nda Türkiye A Milli Erkek Futbol Takımı’nın oynadığı maçlarda aldığı yenilgilere bağlı olarak arttığı gözlemlenmektedir.
The Mediating Role of Perceived Overqualification in the Effect of the Dark Triad on Organizational Cynicism
Authors: CANBOLAT Mehmet Ali , BEDÜK Aykut
Published: August 2023

It is observed in the organizational behaviour literature that negative organizational behavior variables are among the current issues that have emerged to occupy it. The dark triad (Machiavellianism, narcissism, and psychopathy), organizational cynicism, and perceived overqualification are some of these negative organizational behavior variables. The main purpose of this study is to examine the mediating role of perceived overqualification in the effect of the dark triad on organizational cynicism. Quantitative research design is employed for this study, where data is gathered from 453 academics working in a public university in Turkey. Descriptive statistics, confirmatory factor analysis, exploratory factor analysis, correlation analysis and Hayes Process Model 4 are used to analyze the data. The results reveal that the variables are interrelated and perceived over-efficacy plays a mediating role in the effect of the dark triad on organizational cynicism. At the same time, it has been determined that the dark triad has a direct effect on perceived overqualification, perceived overqualification has a direct effect on organizational cynicism and the dark triad has a direct effect on organizational cynicism.
Looming another global crisis-Monkeypox: Plan of action for third world countries
Authors: Varala Ravi , Madhavedi Sudhakar
Published: August 2023

Earlier than shielding the entire world from Covid-19, another crisis is looming around the globe due to the Monkeypox virus (MPXV). In recent times, the sudden rise of Monkeypox (MPX) epidemic cases is now a cause of concern for countries around the globe. Globally, the number of new weekly cases fell by 5% from November 14 to November 20, 2022. More than 62,000 confirmed cases have been reported to WHO from 105 countries and territories since the outbreak began few months ago, along with 23 fatalities. The current outbreak primarily affects guys who have sex with other men and is disseminated primarily via sexual contact. "Just because a condition like monkeypox seems manageable does not guarantee it will remain manageable." The poor dissimilation of knowledge about viral zoonosis, disease investigation, and scientific research about MPX outbreaks can deteriorate the current situation into a deep crisis in the near future. Hence, the present case study focuses on the origin, detection, investigation, prevention, and therapeutic measures of MPX disease in the rising situation of cases. In addition, it proposes various public health measures, policy actions to prevent the transmission of the virus, medical support, and scaling up infrastructure, which are the desperate needs of the hour.
A Novel Route of Synthesis of High Efficiency Pharmaceutical Intermediate and Insecticide Chemical 2, 6-Difluoroaniline
Authors: Krishna Samala Shiva Rama , Surana Menka , Sreenivasulu R.
Published: August 2023

Novel simple efficient hazardous free and cost-effective process for the synthesis of 2, 6-Difluoroniline. This compound is highly efficient Pharmaceutical intermediate and insecticide chemical. All the synthesized intermediates and target compound were characterized by NMR and mass analysis.
Reverse Phase High Performance Liquid Chromatography for Validation of Epinastine Hydrochloride in Bulk and Pharmaceutical Dosage Form
Authors: Rele. Rajan V. , Tiwatane Prathamesh P.
Published: August 2023

The validation method of epinastine hydrochloride from combined dosage form i.e. eye drops was described by high performance liquid chromatography method with separation of drugs on Water symmetry RP18 (150 x 4.6 mm i.d.) and 5 µ particle size. A mixture of buffer and acetonitrile (73:27 % (v/v)) was constituted as mobile phase. The chromatograms were studied at 220 nm as wavelength. The mobile phase was also used as a diluent. A validated of method was studied for linear regression, accuracy, method as well as system precision. The robustness study was done for change in wavelength, mobile phase composition and flow rate as per ICH guidelines. The method has been successfully used to analyze epinastine hydrochloride from dosage form i.e. eye drops.
Comparative acute toxicity study of Syringodium isoetifolium on aquatic and rodent experimental animals
Authors: KAVİTHA Dhanaraju , PADMİNİ Ramakrishnan , ALEKHYA Veramaneni , GOPİ Chandravadivelu , DHANARAJU Magharla Dasaratha
Published: August 2023

This study was intended to assess the acute toxicity of hydroalcoholic leaf exact of Syringodium isoetifolium seagrass on brine shrimp, zebrafish and Wistar albino rats. The extract of different concentrations were used for brine shrimp (0.01-5 mg/ml in propylene glycerol/Tween 80/ water (4:1:4), zebrafish (12.5, 25, 50, 100, 200, 400 mg/ml), and female albino Wistar rat (500, 1000, 2000, 2500 and 5000 mg/kg) study. The control group received distilled water and the studies were carried out as per the OECD guidelines. The experimental subjects were observed individually for the first 24 hours, with special attention given during the first four hours, thereafter for a prescribed duration. The results of brine shrimp exhibited increased mortality with increasing concentration of the extract. Maximum mortality occurred at 1000 µg/ml and the least mortalities happened at 1 µg/ml concentration. Whereas no mortality and physical damage were identified in the zebrafish and Wistar albino rats irrespective of the concentration. The study revealed that the extract was found to be a toxic effect on brine shrimp due to the poor elimination of cytotoxic substances from the body at high concentrations and elimination freely at low concentrations. No toxicity was exerted on other study subjects.
The Relationship Between Husband's Support With Pregnant Women's Compliance In Pregnancy Checks In The Palaran Area Samarinda
Authors: Purnamawaty Endang Wiwiek , Utami Sri
Published: August 2023

Antenatal care is a checkup for optimizing the mental and physical health of an expectant mother, to the extent of childbirth, kala nifas, breast-feeding preparations and a reasonable return to reproductive health. The husband may play a part in supporting the mother with a prenatal visit.The purpose of this study is to know the description of a husband's support in wife obedience to an alliance of pregnancies in palaran samarinda. Research methods used are observational analytics using a sectional study design. Studies show there is a supportive husband in wife obedience performed a prenatal marriage in the area of samarinda with p value (0.006) < α (0,05),There's a relationship between a mother's age and obedience that conducts a pregnancy with p value results (0,042) < α (0,05),The level of education is there's no link between a mother's education and obedience to performing a pregnancy with p value results (0,425) > α (0,05),There's no correlation between your parity factors to obedience that you conduct a pregnancy with p value  (0,029) < α (0,05),There is no correlation between a mother's work factor in obedience to compliance makes an alliance with p value  (0,547) > α (0,05).
Generation and Detection of Deepfakes
Authors: Dantcheva Antitza
Published: August 2023

Generative adversarial networks have made remarkable progress in generating realistic images of high quality. While video generation is the natural sequel, it entails a number of challenges w.r.t. complexity and computation, associated to the simultaneous modeling of appearance, as well as motion.

I will talk about our work related to design of generative models, which allow for realistic generation of face images and videos. We have placed emphasis on disentangling motion from appearance and have learned motion representations directly from RGB, without structural representations such as facial landmarks or 3D meshes. In our latest work, we have aimed at constructing motion as linear displacement of codes in the latent space. Based on this, our model LIA (Latent Image Animator) is able to animate images via navigation in the latent space. While highly intriguing, video generation has thrusted upon us the imminent danger of deepfakes, which can offer unprecedented levels of increasingly realistic manipulated videos. Deepfakes pose an imminent security threat to us all, and to date, deepfakes are able to mislead face recognition systems, as well as humans. Hence, we design generation and detection methods in parallel. In the second part of my talk, I will discuss our associated work, where in our latest work, we explore attention mechanisms in 3D CNNs.
The Super Neuron Model - A new generation of ANN-based Machine Learning and Applications
Authors: Gabbouj Moncef
Published: August 2023

Operational Neural Networks (ONNs) are new generation network models targeting to address two major drawbacks of conventional Convolutional Neural Networks (CNNs): the homogenous network configuration and the “linear” neuron model that can only perform linear transformations over previous layer outputs. ONNs can perform any linear or non-linear transformation with a proper combination of “nodal” and “pool” operators. This is a great leap towards expanding the neuron’s learning capacity in CNNs, which thus far required the use of a single nodal operator for all synaptic connections for each neuron. This restriction has recently been lifted by introducing a superior neuron called the “generative neuron” where each nodal operator can be customized during the training in order to maximize learning.

As a result, the network is able to self-organize the nodal operators of its neurons’ connections. Self-Organized ONNs (Self-ONNs) equipped with superior generative neurons can achieve diversity even with a compact configuration. We shall explore several signal processing applications of neural network models equipped with the superior neuron.
Confidence Distributions for Skew Normal Change Point Model Based on Modified Information Criterion
Authors: Ning Wei
Published: August 2023

In this paper, we consider a skew normal change-point model. Instead of only providing the point estimate of the change location, we propose an estimating procedure based on the confidence distribution combining with the modified information criterion to construct the confidence set for the change location. The simulations indicate the advantages of the proposed method comparing to the existing method in terms of coverage probabilities and average lengths of the confidence sets, especially when the change occurs at the very beginning or in the very end. The proposed method is applied to two stock market data to illustrate the detection and the estimation procedures.
Learning coalitions: how AI and experts can improve their collective decisions from images
Authors: Macq Benoit
Published: August 2023

Deep learning technologies have enabled the development of artificial intelligence systems for the recognition of anomalies in images or for predicting possible effects on the imaged object. For the application to medicine, we propose a new approach to learning and continuous improvement of models, based on a coalition of heterogeneous hospitals sharing the same care methods and continuously improving decisions in a common way to achieve the same quality of clinical decisions for all.

The models developed and the humans constitute a learning coalition and the progresses in the quality of the decisions made by the models and by the human experts are quantified in the respect of ethical rules adopted by the coalition.
Firearms legislative review
Authors: Davies Megan , Mouzos Jenny
Published: August 2023

This review examines the extent to which Australian, state and territory government legislation complies with the resolutions of the National Firearms Agreement (1996), National Firearms Trafficking Agreement (2002), and the Council of Australian Governments Agreement on Handguns (2002). It discusses the consolidated resolutions of the agreements, assesses the extent of compliance of each state and territory and highlights the relevant areas of divergence. It further identifies potential legislative anomalies and summarises the implications for firearm policy across Australia.
Brief review of contemporary sexual offence and child sexual abuse legislation in Australia
Authors: Boxall Hayley
Published: August 2023

The report provides an overview of the offences that an individual who sexually abuses a child in an institutional setting may be charged with in the nine Australian jurisdictions. These include contact and non-contact sexual offences, child pornography offences and offences for which institutions and/or their representatives that were aware of child sexual abuse may be charged.
Precio de la publicidad en los medios: análisis de la evolución de los precios de compra de espacios publicitarios y condicionantes de negociación en España
Authors: Ortega Fernández Eglée , Arranz Rodríguez Inés , Martín-García Noemí
Published: August 2023

Este trabajo se plantea con el objetivo de conocer la evolución de los precios de compra de los espacios publicitarios en medios convencionales en la última década y descubrir los condicionantes que facilitan una buena negociación publicitaria. Se lleva a cabo una doble metodología cuantitativa a través del análisis fuentes secundarias y cualitativa desarrollada con un panel de expertos. Los resultados ponen de manifiesto un importe cada vez menor por la compra del espacio publicitario, a pesar de la subida de tarifas oficiales y el alcance del medio o soporte, junto con la rentabilidad y el tiempo de gestión como los condicionantes de una buena negociación publicitaria, además de un cambio hacia una compra más flexible y enfocada en los resultados, más allá de la visibilidad de la marca. La investigación muestra el cambio de la comercialización de todos medios hacia una compra similar a la programática utilizada en el entorno en línea.
Review: Discogenic Back Pain: Update on Treatment
Authors: Remotti Edgar , Nduaguba Chinoso , Woolley Parker A. , Ricciardelli Ryan , Phung Anh , Kim Rosa , Urits Ivan , Kaye Alan David , Hasoon Jamal , Simopoulos Thomas , Yazdi Cyrus , Robinson Christopher L.
Published: August 2023

Purpose of Review

Lower back pain (LBP) has a lifetime prevalence of 80% in the United States population. Discogenic back pain (DBP), a subcategory of LBP, occurs as a result of the interverbal disc degeneration without disc herniation. Diagnosis relies on history, physical exam, and imaging such as MRI, provocative discography, or CT discography.

Recent Findings

Treatment of DBP involves a multifaceted approach with an emphasis on conservative measures including behavioral modification, pharmacologic management, and other non-pharmacologic interventions with invasive therapy reserved for select patients. Due to the paucity of data on the treatment of DBP, treatment also relies on data derived from treatment of chronic LBP (CLBP).

Despite the scarcity of data for the treatment of DBP, treatments do exist with varying efficacy for DBP. Novel techniques such as the use of biologics may provide another avenue for treatment though further studies are needed to better evaluate the most efficacious regimen for both novel and existing treatments.
A study on the reduction of heavy metal ions (Cd2+ and Cr3+) in waste water from chemistry laboratory by Pericopsis elata adsorbent
Authors: B. N Hikon  , J. Gani  , A. Hyelalibiya  , B. Garindo  , B. G. Haruna
Published: August 2023

This research was aimed the at preparation and application of Pericopsis elata adsorbent in reducing the concentration of heavy metal ions present in waste water obtained from chemistry laboratory. Atomic Absorption Spectroscopy (AAS) was used to determine the concentration of heavy metal ions (Cd2+ and Cr3+) in laboratory waste water. The concentration of Cd and Cr were 155 and 122 mg/L. At a dosage of 0.25, 0.5 and 0.75 g the concentration ranged from 21.55 25.65 mg/L for Cr and 12.90 14.32 mg/L for Cd. At pH value of 2, 7 and 11, the concentration were 11.30, 20.33 and 39.50 mg/L for Cr and 15.30, 28.20 and 24.80 mg/L for Cd respectively. The concentration of Cr and Cd on adsorption increases with an increase in contact time of the adsorbate. At contact time of 20, 40 and 60, the adsorption concentration were 16.60, 19.30 and 29.40 (mg/L) for Cr and 10.50, 20.40, 48.10 (mg/L) for Cd. The results indicate that as the pH, contact time and temperature increases, the percentage removal of Cr and Cd also increases. As adsorbent dosage increased the percentage removal of Cr and Cd also increased. The result of the morphology showed a porous, rough and irregular surface with crystalline structure which indicated more macro pores for adsorption. It can be deduced that the Pericopsis elata adsorbent provides an external surface of porous and more reactive sites, which enhanced its adsorption capacity.
Analisis Hasil Belajar Ditinjau dari Kedisiplinan Belajar Siswa Mata Pelajaran IPS Siswa Kelas V SDN 58 Tambana
Authors: Subhan Subhan
Published: August 2023

Pada hakikatnya pendidikan adalah cermin suatu bangsa. Baik tidaknya kuliatas suatu bangsa dapat di lihat dari pendidikan yang ada pada negara tersebut. Dewasa ini banyak negara- negara yang terus berusaha meningkatkan pembangunan di bidang pendidikan salah satunya Indonesia. Tujuan dari penelitian ini adalah untuk mengetahui hasil belajar ditinjau dari kedisiplinan belajar siswa pada mata pelajaran IPS kelas V di SDN 58 Tambana. Metode penelitian yang dilakukan adalah jenis penelitian deskriptif kualitatif dan sumber data diperoleh dari data primer dan data sekunder yang dikumpulkan dengan menggunakan metode observasi, wawancara, dan dokumentasi. Hasil temuan menunjukan rendahnya hasil belajar siswa kelas V di sebabkan kurang perhatian dan kedisiplinan saat proses pembelajaran yang berlangsung di kelas, hal ini terlihat pada saat guru sedang menjelaskan materi pembelajaran IPS, para siswa lebih sibuk dengan aktifitasnya sendiri. Kesimpulan Faktor-faktor yang mendukung kedisiplinan adalah kesadaran yang tinggi untuk berdisiplin dari semua warga sekolah baik dari guru, pegawai dan juga dari diri siswa sendiri untuk mematuhi aturan sekolah yang telah dibuat. Selain itu orang tua juga menjadi faktor pendorong seorang siswa untuk selalu memiliki kedisiplinan belajar yang tinggi, yaitu dengan cara orang tua selalu memperhatikan dan memantau perkembangan pendidikan anak. Sedangkan faktor-faktor yang menghambat kedisiplinan belajar siswa adalah kurangnya kesadaran dari diri siswa untuk disiplin.
Kronik Hastalığı Olan Bireylerin COVID-19 Aşısına Yönelik Tutumları ve Etkileyen Faktörlerin İncelenmesi
Authors: SESCİ Aysel , SAYIN KASAR Kadriye
Published: August 2023

ÖZ

Amaç: Bu çalışma, kronik hastalığa sahip bireylerin COVID-19 aşısına yönelik tutumları ve etkileyen faktörleri incelemek amacıyla yapılmıştır.

Yöntem: Tanımlayıcı ve kesitsel tipteki bu araştırmanın örneklemi, 1 Ocak -1 Şubat 2022 tarihleri arasında bir eğitim ve araştırma hastanesinin dahiliye kliniklerinde yatan, dahiliye polikliniklerine başvuran ve dahil edilme kriterlerine uyan 224 bireyden oluşmaktadır. Verilerin toplanmasında, ‘Kişisel Bilgi Formu’ ve ‘COVID-19 Aşısına Yönelik Tutumlar Ölçeği’ kullanılmıştır. Verilerin değerlendirilmesinde Shapiro Wilk, Mann-Whitney U testi, Kruskal-Wallis testi, Spearman sıra korelasyonu ve çoklu doğrusal regresyon modeli kullanılmıştır.

Bulgular: Araştırmaya katılan kronik hastalıklı bireylerin yaşları 18-91 yaş aralığında ve medyan yaş 62 olup %59.8’i kadındır. Katılımcıların %26.8’i KOAH ya da astım, %23.7’si hipertansiyon ve %20.5’i diyabet hastalığına sahiptir. Çalışmaya katılan bireylerin %37.1’i COVID-19 geçirmiş olup %96’sı COVID-19 aşısı olmuştur. Katılımcıların COVID-19 Aşısına Yönelik Tutumlar Ölçeği toplam puanı 4.44 olarak bulunmuştur ve erkeklerin aşı ortalama puanları kadınlara göre 0.363 puan yüksektir. Aşı ortalaması üzerine etkili olan faktörlerin çoklu doğrusal regresyon analizine göre hasta yaşı arttıkça aşı ortalaması 0.013 puan artmaktadır.

Sonuç: Sonuç olarak katılımcıların büyük bir çoğunluğunun en az bir doz COVID-19 aşısı olduğu ve COVID-19 aşısına yönelik olumlu yönde tutumlarının yüksek olduğu görülmektedir.Bununla birlikte; yaş,cinsiyet,meslek ve COVID-19 aşısı olma durumu aşı tutumu üzerinde etkili olduğu belirtilmektedir. Bu kapsamda kronik hastalığı olan bireylere yönelik düzenli COVID-19 aşılama programlarının yapılması önerilmektedir.

Anahtar Kelimeler: COVID-19; kronik hastalık; covid-19 aşısı; aşı tutumu.
Gebelerin COVID-19 Aşısı Olma Durumları ve Aşı Karşıtlığının Belirlenmesi
Authors: BAYKAL AKMEŞE Zehra
Published: August 2023

GEBELERİN COVİD-19 AŞISI OLMA DURUMLARI VE AŞI KARŞITLIĞININ BELİRLENMESİ

ÖZ

Amaç: Bu araştırmanın amacı gebelerin Covid-19 aşısı olma durumları ve aşı karşıtlığının belirlenmesidir.

Yöntem: Tanımlayıcı tipteki araştırmanın örneklemini ulaşılması gereken en az gebe sayısı hesaplanarak (n=150) ulaşılan 165 gebe oluşturmuştur. Google anket yöntemi ile gebelere Gebe Veri Toplama Formu ve Aşı Karşıtlığı Ölçeği gönderilerek veri toplanmıştır. Aşı karşıtlığı ölçek puanına göre aşı karşıtı olduğu saptanan gebelere “Gebelerde Covid-19 Aşısı “ bilgilendirme broşürü gönderilmiştir. Sosyo- demografik özelliklere ilişkin değişkenler, sayı ve yüzde dağılımı ile gösterilmiştir. Aşı karşıtı olma durumunu etkileyebileceği düşünülen kategorik özellikteki değişkenlerin etkisi bağımsız gruplarda t testi ve anova çözümlemesi ile değerlendirilmiş, p
Covid-19 Pandemi Sürecinde Eğitim Gören Sağlık Bilimleri Fakültesi Son Sınıf Öğrencilerinin Uzaktan Eğitime İlişkin Görüşleri ve Tutumları
Authors: HADIMLI Aytül , ERSÖZ Hilal , İLDAŞ Büşra , KARDEŞ Güzin , ÖZTÜRK CAN Hafize
Published: August 2023

Amaç: Bu çalışmanın amacı, COVİD-19 Pandemi sürecinde eğitim gören sağlık bilimleri fakültesi son sınıf öğrencilerinin uzaktan eğitimin mesleki yeterliliklerine etkisi hakkındaki görüşleri ile uzaktan eğitime yönelik tutumlarını belirlemektir.

Yöntem: Kesitsel ve analitik tipteki araştırma Mart 2021-Ekim 2021 tarihleri arasında Türkiye’de yedi coğrafi bölgede, kuruluşu en eski olan üniversitelerin sağlık bilimleri fakültesi son sınıf öğrencileri ile yapılmıştır. Çalışma 450 öğrenci ile gerçekleştirilmiştir. Çalışmada istatistiksel hesaplamalar SPSS 26.0 paket programında analiz edildi. Sonuçlar p
EVOLUTION AND ADVANCEMENTS IN THE DEVELOPMENT OF PHARMACEUTICAL CARE SERVICES
Authors: Maha Mohammed AL Mogrin, , Aseel Abdulziz Al Khleb, , Bshayer Mohammed Al Shehri, , Khalid Abdulrahman Al Shreeaf, , Khaled Farhan Al Busaysi, , Ahmed Mueallath Al Rashidi, , Abdulmohsen Hamdan Al Harbi,
Published: August 2023

The evolution of pharmaceutical care services has undergone a significant transformation, shifting from a product-focused approach to a patient-centered model. This article explores the historical development, patient-centered approach, Medication Therapy Management (MTM) programs, collaborative care, technological integration, challenges, and future directions in pharmaceutical care services. Pharmacists now play a pivotal role in optimizing medication therapy, conducting comprehensive assessments, and working collaboratively with healthcare providers. Advancements in technology, such as electronic health records and automated systems, have further enhanced the quality of care provided. Despite challenges related to reimbursement and scope of practice, the trajectory of pharmaceutical care services is moving toward greater recognition and integration within healthcare systems.
PELATIHAN PEMBUKUAN SEDERHANA UNTUK PENINGKATAN PENDAPATAN USAHA KECIL DI JEMAAT GPM SILO KLASIS KOTA AMBON
Authors: Grace Persulessy  , Nicoline Hiariej  , Beatrix A Talakua
Published: August 2023

Small businesses need skills to make financial records so that they can increase family income. This service activity aims to provide knowledge in carrying out financial records for small businesses in the GPM Silo Klasis in Ambon City. The method used is lecture, practice and evaluation. The result of this activity is that the training participants can make financial records for small businesses.

 

berisi tentang isu dan fokus pengabdian, tujuan pengabdian, metode/pendekatan/strategi riset pengabdian, dan hasil pengabdian masyarakat (maksimal 150 kata).

(Cambria, size 12 font Italic)
OPTIMALISASI PEKARANGAN DI MASA PANDEMI COVID-19 DENGAN TANAMAN HORTIKULTURA
Authors: Yusmia Widiastuti
Published: August 2023

Kegiatan pengabdian masyarakat yang bertajuk Optimalisasi Lahan Pekarangan di Masa Pandemi Covid-19 diikuti sebanyak 20 ibu rumah tangga di Desa Penganjuran, Kecamatan Banyuwangi, Kabupaten Banyuwangi. Kegiatan ini berupa penyuluhan secara terbatas dengan mengikuti protokol kesehatan selama masa pandemic covid 19. Berawal dari keluhan ibu-ibu tentang kondisi di masa pandemi dan juga sulitnya memperoleh bahan pangan secara bebas, maka diadakan kegiatan pengabdian ini. Kegiatan ini dilakukan dengan menggunakan metode ceramah, diskusi, dan praktek. Peserta sangat antusias dalam mengikuti kegiatan ini, karena tidak hanya diajarkan memanfaatkan lahan pekarangan mereka yang terbatas, tapi juga bagaimana memilih tanaman, merawat tanaman, dan menata pekarangan dengan tanaman tersebut supaya lebih menarik dipandang. Tanaman yang diusahakan adalah tanaman yang murah, mudah ditanam,  dan sesuai dengan iklim seperti cabe, tomat, kemangi, bayam, kangkung, buncis, dan kacang-kacangan, tanaman herbal, mentimun, dan terung. Diperlukan proses pendampingan sehingga pemanfaatan lahan pekarangan dengan tanaman hortikultura lebih optimal lagi
PELATIHAN DIGITAL SKILL KEAMANAN DATA PRIBADI BAGI MASYARAKAT DESA JATI INDAH LAMPUNG SELATAN
Authors: Melda Agarina  , Sutedi  , M Said Hasibuan
Published: August 2023

Data pribadi sebagaimana yang dimaksud dalam Pasal 1 angka 29 PP PSTE ialah setiap data tentang seseorang, baik yang teridentifikasi maupun dapat diidentifikasi secara tersendiri atau dikombinasi dengan informasi lainnya, baik secara langsung maupun tidak langsung melalui Sistem Elektronik atau non-elektronik. Adapun contoh data pribadi yang ada yaitu, identitas pribadi seperti data KTP,data kependudukan dan kewarganegaraan, data komunikasi, data perjalanan, data medis, dan data ekonomi. Perlindungan data pribadi sangat perlu dilakukan baik bagi individu ataupun perusahaan. Mengingat aktivitas kehidupan saat ini terekam digital, perlindungan data wajib jadi prioritas. Sebagian besar aktivitas menggunakan teknologi digital, mulai dari belajar, bekerja, bertransaksi, hingga mencari hiburan. Dalam era pandemic ini juga banyak kegiatan yang dilakukan secara online seperti rapat melalui konferensi video, panggilan web, atau perpesanan, yang meningkatkan data untuk dibuat dan disimpan. Salah satu metode yang paling sering ditemui dalam mempraktikkan keamanan data pribadi maupun perusahaan adalah penggunaan otentikasi. Praktik tersebut mengharuskan pengguna memberikan kata sandi, kode, data biometrik, atau beberapa bentuk data lainnya untuk memverifikasi identitas sebelum mendapatkan akses ke sistem atau data. Dan dalam kegiatan pelatihan ini masyarakat desa jadi indah diberikan pemahaman serta praktek langung dalam pengamanan data pribadi. Metode pelatihan yang diberikan yaitu dengan praktek pendampingan secara langsung dalam memanfaatkan fitir-fitur keamanan data priibadi di aplikasi media social dan aplikasi berbasis android mobile. Dengan terlaksananya Kegiatan ini diharapkan dapat membantu meningkatkan pemahaman masyarakat kabupatan jati indah dalam perlindungan data pribadi serta pemanfaatan  teknologi informasi