bluuebunny/crossref_metadata_2025 huggingface dataset:
A Komparasi Image Matching Menggunakan Metode K-Nearest Neightbor (KNN) dan Support Vector Machine (SVM)
Authors: Umar Rusydi , Riadi Imam , Faroek Dewi Astria
Published: March 2022

Pencocokan gambar adalah proses menemukan gambar digital yang memiliki tingkat kesamaan. mencocokkan gambar menggunakan metode klasifikasi. Dalam mengukur pencocokan gambar, gambar yang digunakan adalah gambar logo asli dan gambar logo hasil manipulasi. Perbandingan algoritma klasifikasi dari dua metode yaitu K-Nearest Neighbor (KNN) dan Support Vector Machine dengan optimasi Sequential Minimal Optimization (SMO) yang digunakan untuk menghitung kecocokan berdasarkan nilai akurasi. Metode klasifikasi K-Nearest Neighbor (KNN) didasarkan pada kedekatan atau perhitungan K sedangkan metode klasifikasi Support Vector Machine (SVM) mengukur jarak antara hyperplane dan data terdekat. Nilai kecocokan gambar diukur dengan Precision, Recall, F1-Score, dan Accuracy. Langkah-langkah pencocokan gambar mulai dari persiapan pemrosesan data, ekstraksi fitur dan bentuk warna HSV, kemudian tahap klasifikasi. Gambar digital digunakan sebanyak 10 gambar yang terdiri dari satu logo asli dan 9 logo yang dimanipulasi. Pada tahap pengujian klasifikasi, menggunakan aplikasi WEKA dengan menerapkan metode validasi silang 10 kali lipat. Dari hasil tes yang dilakukan bahwa metode klasifikasi k-neighbor (KNN) terdekat adalah 80% dan memiliki k = 0,889 yang cukup baik dalam mengukur kedekatan, sedangkan metode klasifikasi SVM adalah 70%. Hasil perbandingan pencocokan gambar ini dapat disimpulkan bahwa metode klasifikasi K-Nearest Neighbor bekerja lebih baik daripada SVM untuk pencocokan gambar.
Pengembangan Fitur Video Pembelajaran untuk Mendukung Meteri Pembelajaran Digital Secara Online pada SMK Miftahul Huda
Authors: Solikin Imam
Published: March 2022

This research is a development from previous research in the form of digital module learning media, the development carried out is in the form of adding features that contain learning videos to support digital learning materials online. This research was conducted at SMK Miftahul Huda, which is located at Jalan Lintas Timur Km 124, Tugu Agung Village, Lempuing District, Ogan Komering Ilir Regency. During the Covid 19 pandemic, the teaching and learning process at many schools was hampered in the delivery of material, because there were no meetings. face to face to convey material. Most of the delivery of material currently only uses WhatsApp in the form of photos of the material and examples of this make students confused in understanding the material, examples and doing their assignments. The method used in the development of the instructional video features to support online digital learning materials at Miftahul Huda Vocational High School is linear sequential model. The solution to the problems faced by SMK Miftahul Huda is by developing learning media in the form of a learning system equipped with videos and online digital materials that can be accessed using a smartphone. This developed learning system can make it easier to get material and examples that are attached with learning videos so that it makes it easier for students to learn and increase interest in learning
Klasifikasi Penyakit Hipertensi dan Diabetes Berbasis Web Pada Klinik Pratama Rumkitban 01.08.03 Batam
Authors: Kirana Mira Chandra , K Michel
Published: March 2022

The management of outpatient medical records at the Rumkitban Primary Clinic 01.08.03 Batam is still manual and causes many limitations and problems. This problem resulted in the inability of the clinic to run the Chronic Disease Treatment Program (PROLANIS) organized by BPJS-Health. The purpose of the study is to facilitate data processing and then from that data it can be used to classify hypertension and diabetes then the results of the classification are displayed in graphical form. This study discusses 2 diseases, namely hypertension and diabetes. The system uses the C45 Tree Decision Algorithm for automatic data processing. The attributes used are glucose, diastolic, systolic, insulin, and age to support the decision-making system. The system can make a decision whether the patient has hypertension, diabetes or not. The results of this study are the accuracy of classification accuracy in the system for hypertension shows 16.667% accuracy and 83.333% accuracy is not correct, then the calculation of diabetes classification accuracy shows 96.667% accuracy, and 3.333% accuracy is incorrect. This system is integrated with Mysql database to store the results.
Naïve Bayes and SMART Metods to Determine Toddler Development and Status
Authors: Dewi Qomariah Kumala , Al Amin Imam Husni
Published: March 2022

Integrated Service Post (Posyandu) is a forum used for health services carried out from and for the community under the guidance of health workers. Currently, toddlers need to be given more attention to monitor their growth and development. The number of children under five who are monitored by posyandu cadres and puskesmas officers will certainly take a lot of time and require maximum accuracy in classifying the status of each toddler. The purpose of the design of this decision support system is to assist posyandu cadres in determining the developmental decisions of active and inactive toddlers. This research is very important to assist posyandu cadres in providing proper analysis of the developmental status of each toddler. The results of this study are an application that can be used to determine the criteria for growth and development of toddlers using the Naive Bayes and SMART methods so that they can help posyandu cadres in determining the development of toddler status.
Perbandingan Algoritma K-Means dan K-Medoids Untuk Pengelompokkan Data Obat dengan Silhouette Coefficient di Puskesmas Karangsambung
Authors: Farissa Riva Arsyad , Mayasari Rini , Umaidah Yuyun
Published: March 2022

Puskesmas merupakan unit pelaksana fungsional yang berperan sebagai pusat pembangunan kesehatan, pusat partisipasi masyarakat bidang kesehatan dan pusat pelayanan kesehatan primer. Masalah yang dialami puskesmas ini adalah perecanaan kebutuhan obat yang tidak efektif dan efisien. Penggunaan data mining ini dapat mengendalikan stok obat agar tidak terjadi penumpukan stok serta kehabisan stok obat. Clustering adalah teknik pengelompokan record dalam database berdasarkan kondisi tertentu. Metode yang akan digunakan untuk clustering data obat-obatan adalah algoritma K-Means dan K-Medoids yang merupakan metode clustering non hirarki yang mempartisi data ke dalam cluster sehingga data yang memiliki karakteristik yang sama akan dikelompokkan ke dalam cluster yang sama. Tujuan dari penelitian ini adalah untuk mengelompokkan data obat-obatan di Puskesmas Karangsambung yang dapat digunakan sebagai referensi untuk perencanaan obat yang akan datang di puskesmas tersebut. Pengelompokkan data dibagi menjadi tiga yaitu lambat, sedang dan cepat. Hasil yang didapatkan yaitu kedua algoritma tersebut menunjukan bahwa algoritma K-Means mendapatkan hasil Silhouette Coefficient lebih tinggi yaitu sebesar 0,627 sedangkan K-Medoids sebesar 0,536.
Klasifikasi K-NN dalam Identifikasi Penyakit COVID-19 Menggunakan Ekstraksi Fitur GLCM
Authors: Nafisah Nisa , Adam Riza Ibnu , Carudin Carudin
Published: March 2022

Covid-19 merupakan penyakit yang sedang mewabah diberbagai belahan duni ae trmasuk Indonesia, penyakit ini menginfeksi saluran pernapasan yang disebabkan  oleh jenis virus corona baru. Untuk mengetahui adanya virus ini diddalam tubuh  dapat dilakukan pemeriksaan medis seperti cek darah, pemeriksaan radiologi  rontgent (x-ray) dan swab. Oleh karena itu pda penelitian ini dilakukan identifikasi  penyakit covid-19 berdasarkan citra rongen yang mana citra tersebut di ekstraksi  menggunakan metode fitur ekstraksi GLCM yaitu contrast, correlation, energy, dan  homogeneity, setelah didapat nilai dari ekstraksi lalu di klasifikasikan menggunakan metode klasifikasi data mining yaitu k-nearest neighbor dengan melakukan 3  pemodelan nilai inputan k. hasil yan diperoleh dari pengklasifikasian didapat akurasi  sebesar 80%pada model 3 dengan nilai k = 5 dan pada model 1 dan 2 diperoleh hasil  akurasi sebesar 90% dengan niali k = 1 dan k = 3.
Komparasi Algoritma K-Means dan K-Medoids Untuk Pengelompokkan Penyebaran Covid-19 di Indonesia
Authors: Fira Anisa , Rozikin Chaerur , Garno Garno
Published: March 2022

COVID-19 merupakan bagian dari keluarga virus penyebab Severe Acute Respiratory Syndrome (SARS) dan Middle East Respiratory Syndrome (MERS), beberapa gejala yang dialami apabila terinfeksi virus ini antara lain batuk, demam, letih, sesak nafas, dan mengalami penurunan nafsu makan. Pada Penelitian ini data yang digunakan tahun 2019 - Februari 2021 yang bersumber pada website resmi www.covid19.go.id. Dalam upaya menemukan daerah yang memiliki kasus penyakit Covid-19 dapat menggunakan Data Mining. Negara indonesia merupakan salah satu dari negara di dunia yang cukup tinggi terkena virus covid-19. Tujuan penelitian ini yaitu untuk mengelompokan provinsi yang memiliki penyakit covid-19 dengan tingkat tinggi dan rendah di indonesia dan melakukan perbandingan dengan metode algoritma yang digunakan yaitu K-Means dan K-Medoids. hasil yang didapatkan pada penelitian ini adalah memiliki cluster optimal sebanyak 2 cluster, dengan menggunakan algoritma K-Means dimana cluster 1 beranggotakan 2 wilayah dan dikategorikan tinggi, sedangkan untuk cluster 2 sebanyak 32 wilayah dan dikategorikan rendah. Sedangkan menggunakan algoritma K-Medoids yaitu untuk cluster 1 beranggotakan 4 wilayah dan dikategorikan tinggi, sedangkan untuk cluster 2 sebanyak 30 wilayah dan dikategorikan rendah. Dari kedua perbandingan tersebut menghasilkan nilai Silhouette Coefficient dengan metode K-Means adalah sebesar 0,207. Sedangkan Nilai Silhouette Coefficient dengan metode K-Medoids adalah sebesar 0,347.
Deteksi Microaneurysm Pada Mata Sebagai Langkah Awal Untuk Penentuan Diabetic Retinophaty Menggunakan Pengolahan Citra Digital
Authors: Habsari Anisa , Harsono Tri , Yuniarti Heny , Tjandra Rita
Published: March 2022

Diabetic Retinopathy is a microvascular complication of diabetes mellitus. According to WHO (World Health Organization), there are more than 347 billion people who suffer from diabetes. This disease will become the seventh leading cause of death in the world in 2030. Based on research in Indonesia, it is estimated that there are 42.6% of diabetic retinopathy. Therefore, this final project plans a system to assist doctors in identifying diabetic retinopathy through its characteristics, namely microaneurysm. This system begins with an input retinal image from the fundus camera. Then the input will be processed in preprocessing to increase the contrast using the green channel. The next stage is segmentation. This is used to detect candidates from blood vessels and microaneurysms that use morphology operations. The next step is feature extraction, where it uses the features of glcm and white pixels detected in the image resulting from segmentation. The value of the white pixels and the values in the glcm feature are used as parameters in determining whether the classification process will be used as a determination of a Diabetic Retinopathy image or not. The success rate of the system using the SVM (Support Vector Machine) method is 88.4%.
Security Guard Scheduling System Using Genetic Algorithm and Tournament Selection
Authors: Ashari Ilham Firman , Manalu Ardi Gaya , Setiawan Rahmat , Praseptiawan Mugi , Alviuni P Dita , Juli A Sisilia
Published: March 2022

Institut Teknologi Sumatera (ITERA) is one of the new state universities on the island of Sumatra. ITERA has developed and has a large area and many buildings, of course it requires a lot of security guards to maintain security and order in the campus environment. The working hours of security guards at ITERA are from morning to night. ITERA is required to make a watch or shift schedule for security guards, where currently the scheduling is still done manually and has not been systemized automatically. Genetic Algorithm can be used in the scheduling process automatically and optimally by going through several stages. The result of the research is that the automatic scheduling system was successfully built, from the security data used as many as 16 data obtained scheduling from Monday to Sunday along with its working hours.
Diagnóstico participativo comunitario Huexca, municipio de Yecapixtla, Morelos
Authors: Gómez Alegría Leticia , González Chévez Lilián
Published: March 2022

Este libro presenta un diagnóstico participativo comunitario de la localidad de Huexca, municipio de Yecapixtla, Morelos. Fue elaborado con el apoyo de los estudiantes de la Licenciatura de Comunicación y Gestión Interculturales de la UAEM y construido a través de una estrategia metodológica participativa basada en cartografías sociales, observación participante y entrevistas en profundidad. En ese proceso participó tanto la población adulta como los adolescentes de la Telesecundaria Himno Nacional Mexicano. La obra reúne la perspectiva local sobre las principales problemáticas que afectan a su territorio y busca ser una herramienta de reflexión y acción colectiva, a fin de que habitantes y autoridades del pueblo visualicen y reflexionen sobre los problemas más significativos de la comunidad así como sobre sus causas y posibles soluciones. Destacan entre estos problemas la división comunitaria y polarización social causadas por la imposición de la termoeléctrica del Proyecto Integral Morelos en su territorio, la cual, en un primer momento, afectó su derecho humano a la información, a la participación y a la consulta y, posteriormente, durante el periodo de pruebas de la termoeléctrica en 2015, su derecho a la salud, a un medio ambiente sano y a un desarrollo sustentable. Por otra parte, entre las problemáticas más sentidas, se encuentran también la escasez de servicios públicos −como drenaje y recolección de basura− y la inseguridad actual. Dichas problemáticas, a menudo soslayadas en las políticas públicas, demandan con apremio la actuación responsable y eficaz de las autoridades locales y estatales, así como la no menos importante participación comunitaria.
Investigation of the Relationships between Self-Confidence Levels and Job Finding Anxiety of Faculty of Sports Sciences Students
Authors:   The University of Bayburt, Turkey, Karatas Ismail , Oktem Tuncay
Published: March 2022

In this study, it was aimed to investigate the relationship between the self-confidence levels and job finding anxiety of the students of the faculty of sports sciences within the framework of Bayburt University. In this context, the relational survey model, which is consistent with the main purpose, was used in this quantitative study. The sample of the study consists of a total of 311 students, 113 females and 198 males, at the Faculty of Sports Sciences of Bayburt University. Convenience sampling method, one of the non-probabilistic sampling approaches, was used in the selection of the sample. Questionnaire form was used as data collection tool and this form consists of three parts. In the first part of the questionnaire form includes “Personal Information Form,” in the second part includes “Self-Confidence Scale” and in the third part includes “Sports Sciences Students' Job Finding Anxiety Scale.” First of all, descriptive statistics were calculated by considering the data type of the raw data obtained through this form. Then, the reliability of the dimensions of the scales related to the data obtained were investigated, and difference and correlation tests were used in statistical evaluations. In this direction, significant differences were determined in terms of the variables of gender, department, grade and place of residence. In addition, it was observed that there were significant correlations within the scope of the age and monthly average family income level of the participants regarding the scales. On the other hand, no significant correlation was found between the monthly average personal income level and the dimensions of the scales. As a result, it was found that there was a negative and significant correlation between the external self-confidence mean scores and job finding anxiety mean scores of the participants. However, no significant correlation was found between the participants' inner self-confidence mean scores and their job finding anxiety mean scores.
Pendidikan Kesehatan Patuh Minum Obat: Jurnal Refleksi
Authors: Hulu Febri
Published: March 2022

Puji syukur saya ucapkan kepada Tuhan Yang Maha Esa, dimana karena berkat dan kasihnya saya mampu melakukan intervensi yaitu pendkes pemberian obat pada pasien. Awalnya saya rasa pasien akan menolak, apalagi pasien yang ingin saya terapkan tindakan ini adalah pasien baru dengan masalah keperawatan jiwa yaitu halusinasi pendengaran. Pasien ini berkata bahwa dia sudah bosan minum obat, dan sebelum kembali masuk rumah sakit lagi, pasien memang jarang minum obat, alasannya karena tidak ada yang mengawasi dia untuk minum obat. Pasien berkata dia lelah minum obat, penyakit nya juga tidak sembuh.
Constancy of the Cluster Gas Mass Fraction in the R_h = ct Universe
Authors: Melia Fulvio
Published: March 2022

The ratio of baryonic to dark matter densities is assumed to have remainedconstant throughout the formation of structure. With this, simulationsshow that the fraction $f_{\rm gas}(z)$ of baryonic mass to total mass ingalaxy clusters should be nearly constant with redshift $z$. However,the measurement of these quantities depends on the angular distance to the source,which evolves with $z$ according to the assumed background cosmology. An accuratedetermination of $f_{\rm gas}(z)$ for a large sample of hot ($kT_e> 5$ keV),dynamically relaxed clusters could therefore be used as a probe of thecosmological expansion up to $z< 2$. The fraction $f_{\rm gas}(z)$would remain constant only when the ``correct" cosmology is used to fit the data.In this paper, we compare the predicted gas mass fractions for both $\Lambda$CDMand the $R_{\rm h}=ct$ Universe and test them against the 3 largest cluster samples\cite{1,2,3}. We show that $R_{\rm h}=ct$ is consistent with a constant$f_{\rm gas}$ in the redshift range $z\lesssim 2$, as was previously shownfor the reference $\Lambda$CDM model (with parameter values $H_0=70$ km s$^{-1}$Mpc$^{-1}$, $\Omega_m=0.3$ and $w_\Lambda=-1$). Unlike $\Lambda$CDM, however,the $R_{\rm h}=ct$ Universe has no free parameters to optimize in fitting thedata. Model selection tools, such as the Akaike Information Criterion (AIC)and the Bayes Information Criterion (BIC), therefore tend to favor$R_{\rm h}=ct$ over $\Lambda$CDM. For example, the BIC favours $R_{\rm h}=ct$with a likelihood of $\sim 95\%$ versus $\sim 5\%$ for $\Lambda$CDM.
Low IL13RA1 expression distinguishes basal-like human breast cancer.
Authors: Mamoor Shahan
Published: March 2022

Patients diagnosed with basal-like breast cancer face a more aggressive disease course and more dismal prognosis than patients diagnosed with luminal A and luminal B breast cancer molecular subtypes (1-4). We mined published microarray data (5, 6) to understand in an unbiased fashion the most distinguishing transcriptional features of tumors from patients with basal or basal-like subtype breast cancer. We observed transcriptome-wide differential expression of interleukin 13 receptor subunit alpha 1, IL13RA1, when comparing tumors of patients with basal-like breast cancer with that of other PAM50 molecular subtypes. IL13RA1 mRNA was present at significantly lower quantities in the tumors of patients with basal-like breast cancer. Analysis of patient survival data revealed that IL13RA1 primary tumor expression was correlated with overall survival in luminal A and luminal B subtype breast cancer. Low IL13RA1 expression appears to distinguish basal-like human breast cancer from the other molecular subtypes.
Examination of the Relationship Between Social Appearance Anxiety and Communication Skills of Faculty of Sport Sciences Students
Authors: Öcal Tuncay , Metin Serkan Necati
Published: March 2022

Concerns about social appearance, which are common especially among young people, and their preferences in communication based on these concerns have come to a remarkable level. From this point of view, the study aimed determined to examine the relationship between social appearance anxiety and communication skills levels on the students in the faculties of sports sciences. Following the aim, the research was performed on 220 students in total, and male and female students were selected randomly. The sample of the study, in which the relational screening model, which is one of the quantitative research methods, was used as a method. Besides, the "Social Appearance Anxiety Scale" (SAAS) and the " Communication Skills Assessment Scale (CSAS) was used, and ANOVA and t-tests were used in the statistical evaluation of the data. In the evaluation of the data, it was determined that there was a statistically significant difference between the groups in the sub-dimensions of communication skills in terms of communication skills depending on gender (p<0.05). Moreover, it was understood that there was no statistically significant difference between the groups in terms of social appearance anxiety related to the gender variable (p>0.05).
The bayesvl method paper in Software Impacts ‘most cited’ list
Authors: Quang-Loc Nguyen
Published: March 2022

Some remarks on bayesvl package
Elevated RASAL1 expression distinguishes basal-like human breast cancer.
Authors: Mamoor Shahan
Published: March 2022

Patients diagnosed with basal-like breast cancer face a more aggressive disease course and more dismal prognosis than patients diagnosed with luminal A and luminal B breast cancer molecular subtypes (1-4). We mined published microarray data (5, 6) to understand in an unbiased fashion the most distinguishing transcriptional features of tumors from patients with basal or basal-like subtype breast cancer. We observed transcriptome-wide differential expression of RAS protein activator-like 1, RASAL1, when comparing tumors of patients with basal-like breast cancer with that of other PAM50 molecular subtypes. RASAL1 mRNA was present at significantly higher quantities in the tumors of patients with basal-like breast cancer. Analysis of patient survival data revealed that RASAL1 primary tumor expression was correlated with overall survival in human breast cancer. Elevated RASAL1 expression appears to distinguish basal-like human breast cancer from the other molecular subtypes.
Relaksasi Nafas Dalam: Jurnal Refleksi
Authors: Hulu Febri
Published: March 2022

Seseorang yang mengalami perilaku kekerasan sering menunjukkan perubahan perilaku seperti intonasi suara keras, mengancam, ekspresi tegang, gaduh, gelisah, tidak bisa diam, mondar-mandir, agresif, bicara dengan semangat, nada suara tinggi dan gembira berlebihan.
A Physical Basis for the Symmetries in the Friedmann-Robertson-Walker Metric
Authors: Melia Fulvio
Published: March 2022

Modern cosmological theory is based on the Friedmann-Robertson-Walker (FRW) metric. Oftenwritten in terms of co-moving coordinates, this well-known solution to Einstein's equationsowes its elegant and highly practical formulation to the Cosmological principle and Weyl'spostulate, upon which it is founded. But there is physics behind such symmetries, and not allof it has yet been recognized. In this paper, we derive the FRW metric coefficients from thegeneral form of the spherically-symmetric line element, and demonstrate that, because theco-moving frame also happens to be in free fall, the symmetries in FRW are valid only for a mediumwith zero active mass. In other words, the spacetime of a perfect fluid in cosmology may becorrectly written as FRW only when its equation-of-state is $\rho+3p=0$, in terms of the{\it total} pressure $p$ and {\it total} energy density $\rho$. There is now compelling observationalsupport for this conclusion, including the Alcock-Paczy\'nski test, which shows that only an FRWcosmology with zero active mass is consistent with the latest model-independent BaryonAcoustic Oscillation data.
The Course on Norm-referenced Academic Assessment: A Survey of Special Education Faculty
Authors: Lockwood Adam , Farmer Ryan L.
Published: March 2022

Special education teachers play a key role in educational assessment practices, includingfrequently administering norm-referenced tests (NRTs) of academic achievement. This studyexamined the course on norm-referenced assessment provided in special education trainingprograms. Data regarding course a) structure; b) assignments; c) test administrationrequirements; and d) content were collected from one hundred forty-two special educationinstructors. Results suggest that norm-referenced assessment is not heavily emphasized in specialeducation programs and that the practical application of assessment skills is limited.Additionally, instructors appear to experience a shortage of support and materials compared toother assessment trainers, such as school psychologists. Implications for future research, practiceand training are discussed.
Manajemen Asuhan Keperawatan Jiwa Dengan Masalah Halusinasi Pendengaran Pada Penderita Skizofrenia: Studi Kasus
Authors: Silitonga Jesika Serevin
Published: March 2022

Skizofrenia mempengaruhi sekitar 24 juta orang atau 1 dari 300 orang (0,32%) di seluruh dunia. Angka ini adalah 1 dari 222 orang (0,45%) di antara orang dewasa. Ini tidak umum seperti banyak gangguan mental lainnya. Onset paling sering selama masa remaja akhir dan dua puluhan, dan onset cenderung terjadi lebih awal di antara pria daripada di antara wanita
ẢNH HƯỞNG CỦA CHỈ THỊ 16 ĐẾN NỀN KINH TẾ VIỆT NAM P2
Authors: Xuan Dang Thanh
Published: March 2022

ẢNH HƯỞNG NẶNG NỀ CỦA CHỈ THỊ 16 ĐẾN KINH TẾ VIỆT NAM
The Effect of Sustained Transparency on Electoral Accountability
Authors: Grossman Guy , Michelitch Kristin Grace , Prato Carlo
Published: March 2022

Transparency is expected to strengthen electoral accountability. Yet, initiatives disseminating politician performance information directly prior to elections have reported disappointing results. We argue that to be effective transparency needs to be sustained: the dissemination of politician performance information needs to occur early, regularly, and predictably throughout the term. Using a formal model of electoral accountability under non-programmatic and uneven party competition, we study how sustained transparency impacts a string of decisions by various actors in advance of elections: incumbents' running choices, party nomination strategies, and potential challengers' entry decisions. We show how these effects shape the candidate slate and ultimately electoral outcomes, conditional on incumbent performance and the incumbent party's relative strength. We test our theory using a field experiment involving 354 subnational constituencies in Uganda, and find robust support to the idea that sustained transparency can improve electoral accountability even in weakly institutionalized electoral settings.
Manajemen Asuhan Keperawatan Psikososial Dengan Masalah Ketidakberdayaan Pada Penderita Stroke
Authors: Hulu Febri
Published: March 2022

Prevalensi stroke menurut data World Stroke Organization menunjukkan bahwasetiap tahunnya ada 13,7 juta kasus baru stroke, dan sekitar 5,5 juta kematianterjadi akibat penyakit stroke. Sekitar 70% penyakit stroke dan 87% kematiandan disabilitas akibat stroke terjadi pada negara berpendapatan rendah danmenengah
Mindfulness, Resilience, Perceived Social Support, and Emotional Well-being for Santri During the Covid-19 Pandemic
Authors: Yahya Ahmad Hanif Nur , Andiarna Funsu , Kumalasari Mei Lina Fitri , Muhid Abdul
Published: March 2022

The purpose of this study was to determine whether there is a relationship between mindfulness, resilience, and perceived social support with emotional well-being in santri during the COVID-19 pandemic. This study is quantitative. Data collection tools in this study used a mindfulness scale, resilience scale, perceived social support scale and emotional well-being scale. Subjects in this study amounted to 363 of the total population of 965 santri through the purposive accidental sampling technique. The method used in this study is a quantitative method with Structural Equation Modeling (SEM) techniques. The results of this study show the R Square value of 0,166 which means that the variables of mindfulness, resilience, and perceived social support have an effect of 16,6% on emotional well-being, while 83.4% is influenced by other variables. So that the proposed hypothesis is accepted, meaning that the higher the mindfulness, resilience, and perceived social support, the higher the perceived emotional well-being.
Merging affordances and (abstract) concepts
Authors: Borghi Anna M.
Published: March 2022

The notion of affordance posits important challenges for the investigation of language and abstractconcepts. Studies on affordances and language indicate that language is grounded in the sensorimotorsystem and also that language filters and selects information derived from affordances. Literature onaffordances can be relevant for the comprehension of concepts, and particularly of abstract ones, for atleast two reasons. First, affordances might play a role in the emergence of abstract concepts (e.g.,freedom). When forming abstract concepts, we avoid focusing on object affordances and collect thecategorical exemplars based on affordances relying on common sociocultural practices. Second, because tolearn and use abstract concepts we might need other people more than to acquire and use concreteconcepts, other people might evoke social affordances. These processes might be differently modulated byvarious kinds of affordances (e.g., motor, sociocultural) and vary depending on the considered kind ofabstract concepts.
When it’s not easy to do the right thing: Developmental changes in understanding cost drive evaluations of moral praiseworthiness
Authors: Zhao Xin , Kushnir Tamar
Published: March 2022

Recent work (Starmans & Bloom, 2016) identified a shift in judgments of moral praiseworthiness that occurs late in development: adults recognize the virtue of moral actions that involve resolving an inner conflict between moral desires and selfish desires. Children, in contrast, praise agents who do the right thing in the absence of inner conflict. This finding stands in contrast with other work showing that children incorporate notions of cost and effort into their social reasoning. Using a modified version of Starmans & Bloom’s (2016) vignettes, we show that understanding the virtue of costly moral action precedes understanding the virtue of resolving inner conflict. In two studies (N=192 children, Range=4.00-9.95 years; and N=193 adults), we contrasted a character who paid a personal cost (psychological in Study 1, physical in Study 2) to perform a moral action with another who acted morally without paying a cost. We found a developmental progression; 8- and 9-year-old children and adults recognized the praiseworthiness of moral actions that are psychologically or physically costly. Six- and 7-year-old children only recognized the praiseworthiness of moral actions that are physically costly, but not actions that are psychologically costly. Moreover, neither adults nor children inferred that paying a cost to act morally required having a moral desire or resolving inner conflict. These results suggest that both adults and children conceptualize obligation as a direct motivational force on actions. They further suggest that costly choice – a hallmark of moral agency – is implicated in judgments of praiseworthiness early in development.
Will Work-Family Guilt Experiences during the COVID-19 Pandemic Straitjacket Women into Prioritizing their Family?
Authors: Kruger Johanna S. W. , Derks Belle , Manzi Francesca , Aarntzen Lianne , Domen Ilona , Riedijk Larisa , Rijshouwer Carina Dominique Nadine , van Veelen Ruth , Vink Melissa , van der Wal Reine C
Published: March 2022

The onset of the COVID-19 pandemic drastically changed the circumstances for parents to combine work and care. We examined work-family guilt among working parents in the Netherlands during the first year of the COVID-19-pandemic (2020). In a cross-sectional survey study with two time points (March and December 2020) in a sample of working parents (N = 574) in the Netherlands, we revealed three key findings. (1) On average, mothers experienced more guilt towards their family for time and energy invested in work instead of family (work-family guilt) than fathers. (2) Parents with essential occupations (regardless of gender) reported significantly stronger experiences of work-family guilt during the first year of the pandemic compared to parents with non-essential occupations. (3) Parents who experienced stronger work-family guilt were more likely to compensate for their guilt by prioritizing family over work and self (by foregoing their leisure time or intending to reduce workhours in order to be with their family). Together these findings show that in terms of combining work and family, the situation is clearly harder on some more than others, namely mothers and essential workers. These findings demonstrate the gendered experience of work-family guilt and the asymmetrical impact of the COVID-19 pandemic on the work-family experiences of parents.
Viral Viruses and Modified Mobility: Cyberspace Disease Salience Predicts Human Movement Patterns
Authors: Folwarczny Michal , Larsen Nils Magne , Otterbring Tobias , Gasiorowska Agata , Sigurdsson Valdimar
Published: March 2022

Humans have a motivational system that influences cognition and behavior to minimize the risk of contact with pathogens whenever cues to disease emerge. The current research examines the relationship between cyberspace disease salience and mobility behavior at the macro and micro levels. Across three studies, we predict and find that people adjust their mobility behavior to minimize the risk of close physical contact with strangers when cyberspace disease salience is high (vs. low). Study 1 examines web searches for terms related to the pandemic to determine relatively high and low disease salience periods in cyberspace. In Study 2, we analyze hourly sales data from five grocery stores and find that when cyberspace disease salience is high (vs. low), consumers spend 28% more money on each shopping trip and that grocery stores sell 10% more items per hour despite 10% fewer shoppers per hour. Finally, in Study 3, we test the generalizability of these results by analyzing the Google Community Mobility Reports. Here we find that high (vs. low) cyberspace disease salience is associated with an overall decrease in mobility in contexts where the risk of close contact with strangers is high--but not low, whereby we observe an increase in mobility.
The Norm of Wage Negotiations in the United States
Authors: Demirović Melisa , Robbins Blaine G
Published: March 2022

The moral economy is a set of institutionalized rules, norms, and values that guide action in market economies. Historically, the norm of wage negotiations has been a central pilar of the U.S. moral economy, but extant research suggests that this may be changing. In the present study, we seek to evaluate whether the norm of wage negotiations is decoupled from the U.S. moral economy. To do so, we map the character of the norm of wage negotiations, and identify the extent to which the norm is strong or weak along four dimensions: polarity, conditionality, intensity, and consensus. Results of a factorial survey experiment administered to a quota sample of U.S. adults (N = 707) indicate that the norm of wage negotiations is weak: it is largely bipolar, conditional, and of a low-to-moderate intensity, with disagreement over the norm as well as the circumstances demarcating the norm. These deep social cleavages, however, do not fall along demographic lines: the character of the norm is comparable across demographic groups. Overall, our findings support the idea that there has been an erosion of the distributional norms underlying the U.S. moral economy.
Climatic Variability and Cause-Specific Migration in Rural and Urban India
Authors: Reyes Carolyn B. , Thiede Brian C.
Published: March 2022

A growing literature on the demographic impacts of climate change has shown that temperature and precipitation variability disrupts migration patterns throughout the developing world. The empirical record today represents a significant improvement over what was available just a decade ago, but it is nonetheless characterized by important gaps that limit the substantive interpretation of observed patterns. In the current study of climate-related migration in India, we aim to address at least two of these limitations by analyzing the effects of climate variability on cause-specific migration and decomposing migration outcomes between rural and urban origins and destinations. We leverage data from three rounds of the Indian Socio-Economic Survey (ISES) fielded between 1983 and 1999, which provide unique details on individuals’ pre- and post-migration locations and their self-reported reasons for migration. We find temperature and precipitation variability to be associated with reduced migration, particularly labor- and family-related moves. The relationship between climate variability and migration outcomes is not found to vary significantly between rural and urban areas. Migration outcomes among women are found to be more sensitive to climate variability than among men, particularly for family- and marriage-related migration.
Legal AI Systems in the EU’s proposed Artificial Intelligence Act
Authors: Schwemer Sebastian Felix , Tomada Letizia , Pasini Tommaso
Published: March 2022

In this paper we examine how human-machine interaction in the legal sector is suggested to be regulated in the EU’s recently proposed Artificial Intelligence Act. First, we provide a brief background and overview of the proposal. Then we turn towards the assessment of high-risk AI systems for the legal tasks as well as the obligations for such AI systems in terms of human-machine interaction. We argue that whereas the proposed definition of AI system is broad, the concrete high-risk area of ‘administration of justice and democratic processes’, despite coming with considerable legal uncertainty, is narrow and unlikely to extent into many uses of legal AI and IA systems. Nonetheless, these regulatory developments may be of great relevance for current and future legal AI and IA systems.
The Pull of the Plateau and the Sway of the Mode: Formal Relationships to Estimate the Pace of Senescence
Authors: Vaupel James W.
Published: March 2022

BACKGROUNDHow rapidly does the risk of death due to old age rise with age? It has been hypothesized that this pace of senescence is constant over age, time, and place for every human, today and in the past. Attempts to empirically test this superficially preposterous theory have not been successful—the theory has not yet been proven or disproven. OBJECTIVETake advantage of theory about heterogeneous populations, and in particular the gamma-Gompertz model, and the knowledge that death rates approach a plateau to develop formal relationships that can be used to estimate the pace of senescence, i.e., the rate of mortality increase with age for individuals because of deterioration with age, and also to estimate how disparate the risk of senescent death is for individuals of the same age.RESULTSProofs are given for new formal relationships that depend on the level of the mortality plateau, the modal age of death or both. These equations hinge on—and might be useful in testing—the hypothesis that senescent mortality can be described by a gamma-Gompertz model. CONTRIBUTIONDiscovering that there is (1) an invariant pace of senescence for individuals and (2) an invariant distribution of relative risk of senescent death across individuals—for all humans (and perhaps for some other species)—would be of fundamental physiological, evolutionary, and demographic significance. The formal relationships presented here may further empirical research to find such physiological invariants—or to disprove their existence.
AI Ethics Training in Higher Education: Competency Framework
Authors: Bruneault Frédérick , Laflamme Andréane Sabourin , Mondoux André
Published: March 2022

Since any training in AI ethics is first and foremost indebted to a conception of ethics training in general, we identify the specific requirements related to the ethical dimensions of this cutting-edge technological innovation. We show how a pragmatist approach inspired by the work of John Dewey allows us to clearly identify both the essential components of such training and the specific fields related to the development of AI systems. More precisely, by focusing on some central characteristics of such a pragmatist approach, namely anti-foundationalism, anti-dualism and anti-skepticism, characteristics shared by the philosophies of the main representatives of the pragmatist movement, we will see how the different components of the ethical competence - namely ethical sensitivity, reflexive capacities and dialogical capacities - can be conceived in a dynamic and interdependent way. We will then be able to examine the specific fields of training in AI ethics, insisting on the necessary complementarity between the specific moral dilemmas associated with this technology and the technical, social and normative (especially legislative) aspects in order to adequately grasp the ethical issues related to the design, development and deployment of AI systems. In doing so, we will be able to determine the requirements that should guide the implementation of an adequate training in AI ethics, by providing benchmarks for the teaching of these issues.
The problem of commercialization of Olympic equestrian sport in Russia
Authors:   INION RAN, Petushkova Vlada
Published: March 2022

Basic Olympic principles and commerce have gone a long way from complete incompatibility to the successful coexistence. Equestrian sport can be considered a good model for examining the process of commercialization that has permeated sports in Russia in the last few decades, as it is one of the five most expensive Olympic disciplines.
Jak pisać prace licencjackie i magisterskie z geografii? Poradnik bardzo praktyczny
Authors: Plit Florian , Jędrusik Maciej
Published: March 2022

A practical guide to writing geography BA and MA theses, prepared by outstanding authors, which contains general guidelines on scientific works from various disciplines as well as detailed advice on the research field of the authors: socio-economic geography and the earth and environmental sciences. The book, written in clear and accessible language and humorous tone, will certainly prove to be useful in preparing and editing other geographical academic texts as well as theses in the geography related subjects, such as tourism, spatial economics, environmentalism and urban studies.
Towards Harmonisation of Language Teacher Education Programmes in Malawi: An Analysis of Language Teacher Programmes
Authors: KİSHİNDO-MAFUTA Lydia
Published: March 2022

This study aims at analysing language teacher education programmes from three secondary school teacher training institutions in Malawi. It also discusses the possibility of having a consolidated language teacher education programme for all institutions. The data were generated through document analysis of the language teacher education programmes and route maps. The data shows that the three programmes have a four-part kind of teacher programme which has courses in education foundation, teaching methodology, content and teaching practice. The courses offered are basically similar in all the three institutions with minor differences, especially in terms of the number of courses and the level at which they are offered. Considering the fact that these three institutions aim at producing teachers that will handle the secondary school English curriculum there is a possibility of having a consolidated language teacher education programme.
The tachinid Riedelia bicolor Mesnil new to the fauna of Japan (Diptera: Tachinidae)
Authors: Richter V.A.
Published: March 2022

Riedelia bicolor Mesnil known up to the present from Primorsk Territory and China is for the first time recorded from Japan.
Geology and minerageny of the Bestobe deposit (Central Kazakhstan)
Authors:   Karaganda Technical University, Karaganda, Kazakhstan, Askarova N.S. , Portnov V.S. ,   Karaganda Technical University, Karaganda, Kazakhstan, Blyalova G.G. ,   Karaganda Technical University, Karaganda, Kazakhstan, Madisheva R.K. ,   Karaganda Technical University, Karaganda, Kazakhstan, Dyakonov V.V. ,   Sergo Ordzhonikidze Russian State University for Geological Prospecting, Moscow, Russia
Published: March 2022

Polygenic stratiform deposits are the largest in the world in terms of barite and manganese reserves, as well as lead and zinc reserves. In the mineral resource complex of the Republic of Kazakhstan, they are of great importance and are distinguished as an independent genetic Atasu type. In the article, the deposits of the Zhailma graben-syncline in a large riftogenic structure are considered as a reference for the Atasu type. The geological structure of the Bestobe stratiform polymetallic deposit located in the eastern part of the Zhailma synclinorium is presented. The stratigraphy of ore formations, mineralization features, morphology of the ore body and the pattern of zoning the distribution of elements in the ore-bearing rocks of the Bestobe deposit are shown. A feature of the deposit is the combination of layered iron-manganese and lead-zinc ores and superimposed zinc-lead-barite mineralization; the sharply subordinate role of hydrothermal-sedimentary ores in the total reserves of lead and zinc; comparative abundance of lead, copper and silver sulfosalts. The analysis of the materials indicates that mineralization at the Bestobe deposit is complex. Its main value is polymetallic ores. The role of iron ore mineralization of the deposit is insignificant. Manganese mineralization is practically absent. Polymetallic ores are conventionally subdivided into lead-zinc-barite, lead-barite, barite and lead-zinc. Strontium is a constant impurity in barites. Lead is mainly concentrated in galena; its insignificant amount is found in geocronite, boulangerite, jamsonite, bournonite, cerussite, anglesite, pyromorphite, plumboyarosite. The bulk of zinc is concentrated in the form of sphalerite.
Black Lives Matter, a Princess from Zanzibar, Bismarck, and German Memorial Hygiene
Authors: Neumann Klaus
Published: March 2022

Following the surge of the Black Lives Matter movement in the wake of George Floyd’s murder on 25 May 2020, memorials in remembrance of individuals implicated in colonialism or slavery have come under increasing attack. This article discusses and contextualizes challenges in 2020 to the memorialization of Otto von Bismarck (1815–1898) and Emily Ruete née Salama bint Said (1844–1924) in Hamburg, where the legacy of the German colonial past is particularly palpable. The article argues that proposed solutions—be it the demolition of the city’s main Bismarck monument, its restoration and the erection of a counter-memorial adjacent to it, or the un-naming of a street named after Ruete—potentially erase the complexities and contradictions of the lives of historical actors, are often informed by a desire to quarantine the past, and, just as often, fail to engage with its continuation in the present.