bluuebunny/crossref_metadata_2025 huggingface dataset:
REPOSISI PERAN KELUARGA DALAM MEMBENTUK KARAKTER ANAK
Authors: Karunia Tumangger  , Kristina Simanjuntak  , Lestari Sinaga  , Maria Manurung  , Meysa Nababan  , Damayanti Nababan
Published: December 2022

This study aims to determine the effect of Christian Religious Education in the Family on the Character of Children aged 10-12 Years in Tinada Village, Tinada District, Pakpak Bharat Regency in 2022, with the hypothesis that there is a positive and significant influence between Christian Religious Education in the Family on the Character of Children aged 10-12 years in Tinada Village, Tinada District, Pakpak Bharat Regency in 2022. This study uses a descriptive quantitative approach, with a population of all children aged 10-12 years who are Protestant Christians in Tinada Village, amounting to 35 people with a sample of 35 people. Data were collected using a closed questionnaire of 46 items compiled by the author based on variable indicators according to expert theory. The results of data analysis show that there is a positive and significant influence of Christian Religious Education in the Family on the Character of Children aged 10-12 Years in Tinada Village, Tinada District, Pakpak Bharat Regency in 2022 with a coefficient of determination (r2) = 40.57% and a significant test of the effect is obtained. Fcount>Ftable of 22.60>4.15, meaning that Ho is rejected and Ha is accepted.
PENGARUH KADEK SUSI TERHADAP TINGKAT PENGETAHUAN DI PIK-R SMPN 2 MENGWI, BALI
Authors: Astuti Ni Luh Indri , Sri Wulandari Made Ririn , Sumawati Ni Made Risna
Published: December 2022

HIV dan AIDS, Infeksi Menular Seksual (IMS) dan Kehamilan Tidak Diinginkan (KTD) adalah dampak dari kurangnya pendidikan kesehatan reproduksi. Remaja merupakan kelompok yang paling rentan mengalami ketiga permasalahan diatas, sehingga diperlukan informasi terkait kesehatan reproduksi yang komprehensif dengan metode edukasi yang lebih variatif. Dalam penelitian ini dibentuk suatu program yaitu KADEK SUSI (Kader Remaja Sadar Kesehatan Reproduksi) yang menggabungkan metode peer educator dengan materi GenRe (Generasi Berencana) dalam meningkatkan pengetahuan responden. Jenis penelitian ini adalah penelitian kuantitatif dengan desain penelitian one-group pretest-postest design. Responden diukur tingkat pengetahuannya dengan menggunakan kuesioner, kemudian diberikan intervensi dan diukur kembali tingkat pengetahuannya setelah diberikan intervensi. Intervensi diberikan satu minggu sekali selama empat kali pertemuan dengan waktu 45 menit. Hasil penelitian menunjukkan bahwa KADEK SUSI meningkatkan pengetahuan responden di PIK-R SMPN 2 Mengwi dengan nilai Pvalue=0,000 yang diperoleh melalui uji Wilcoxon. KADEK SUSI dapat digunakan sebagai acuan atau pedoman dalam meningkatkan pengetahuan remaja terkait dengan kesehatan reproduksi serta dijadikan sebagai tambahan literatur.
ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI PENGETAHUAN ANAK USIA SEKOLAH TENTANG COVID-19
Authors: Utario Yossy , Khorini Fatimah
Published: December 2022

Anak usia sekolah merupakan populasi yang rentan untuk terinfeksi COVID-19. Pengetahuan anak tentang COVID-19 dipengaruhi oleh beberapa faktor. Penelitian ini bertujuan untuk mengetahui faktor-faktor yang mempengaruhi pengetahuan anak usia sekolah tentang COVID-19. Penelitian ini menggunakan desain cross sectional. Pengumpulan data menggunakan kuesioner. Teknik pengambilan sampel menggunakan non probability sampling dengan metode purposive sampling dengan kriteria anak usia sekolah kelas 5 SD, mampu membaca dan menulis, bersedia menjadi responden.. Sampel pada penelitian ini berjumlah 92 anak usia sekolah dari tiga Sekolah Dasar yang ada di Kabupaten Rejang Lebong. Analisis data bivariate menggunakan Chi Square dan multivariate dengan menggunakan regresi logistic. Hasil penelitian menunjukkan faktor yang paling dominan mempengaruhi pengetahuan anak usia sekolah tentang COVID-19 adalah pengalaman terkena penyakit COVID-19 pada anak atau keluarga serumah. Saat sakit anak dan keluarga merasakan secara langsung serta melakukan tindakan pencegahan dan penanganan COVID-19, disamping mendapatkan informasi dari berbagai sumber. Perlu dilakukan edukasi terus menerus pada anak usia sekolah untuk pencegahan COVID-19 terutama dilingkungan sekolah, dengan metode yang sesuai dengan karakteristik anak usia sekolah.
MODEL PREDIKSI: PERBEDAAN IURAN DAN STRATA SOSIAL YANG BERISIKO BAGI PENGGUNA BPJS KESEHATAN
Authors: Lubis Yusuf Hanafi , Maretta Betty , Lubis Raihan Melisa , Gurning Fitriani Pramita
Published: December 2022

BPJS Kesehatan diharapkan dapat menyelenggarakan program jaminan sosial kesehatan yang berkualitas dan berkesinam-bungan. Namun, faktanya setiap tahun, defisit BPJS Kesehatan selalu mengalami kenaikan. Tujuan penelitian yaitu agar mengetahui resiko apa yang akan terjadi jika adanya perbedaan iuran dan strata sosial bagi pengguna BPJS kesehatan. Metode penelitian menggunakan metode kuantitatif dengan desain studi cross sectional yang dilakukan pada bulan juni 2022 di Kota Medan. Jumlah responden sebanyak 53 orang dari perwakilan populasi yaitu pengguna BPJS kesehatan dengan rentang umur 15-25 tahun diambil dengan cara non random sampling. Analisis dilakukan secara univariat, bivariat dan multivariat dengan nilai parameter dan ROC. Hasil studi menunjukkan bahwa ada resiko dan hubungan yang signifikan antara variabel dependen dan independen (p<0,05). Analisis lanjutan dilakukan melalui parameter, residu matrix dan lack of fit (RM; 38,993, LAF; 50,000, Parameter; 4,66-11,46, P-Value; 0,000 (<0,05), 95% CI; 0,95-2,38). Hasil AUC didapatkan sebesar 0,316 (p-value; 0,144, 95% CI; 0,083-0,548). Sensitifitas dan spesifisitas didapat sebesar 0,298 dan 0,667 melalui titik potong >1,5. Kesimpulan pada studi ini ialah adanya hubungan antara resiko perbedaan iuran dan strata sosial dengan pengguna BPJS kesehatan. Saran bagi kepala BPJS kesehatan sebaiknya ditiadakan kelas pelayanan kesehatan agar tidak terjadi perbedaan iuran dan strata sosial di masyarakat.
ANALYSIS OF DENTAL EROSION IN LOCAL SCHOOL CHILDREN
Authors: Agrawal Abhishek , Agrawal Deepshri
Published: December 2022

Introduction : Tooth wear has recognized a major problem in both children and adults for many years, which includes
the triad of erosion, attrition, and abrasion, but the contribution of erosion to tooth wear is increasing. There is a limited
literature with regard to the prevalence of dental erosion in school going children. Hence, this study was undertaken to assess the prevalence and
severity of erosive tooth wear in local school going children. The present Cross Se Methods: ctional analytical study is carried out on 100
subjects. A descriptive cross-sectional survey was designed to estimate the prevalence and severity of dental erosion in one year duration in 10-
12-year old local school children of the city. The schoolchildren were clinically examined as per the American Dental Association Type 3 criteria
using mouth mirrors while seated on the chair under natural light. The four upper incisors were examined A total of 32 children had Results:
dental erosion. A signicant association was recorded between the intake of fruit juice & Consumption of Carbonated Drinks (P < 0.05*) and
occurrence of dental erosion. The frequency of erosion (35.5%) observed in maxillary central incisors was high when compared to maxillary
lateral incisors (7%). The predominance of erosion sites on the labial surfaces was noted for both the maxillary central and lateral incisors.Matt
appearance of the enamel was the most prevalent type of dental erosion (23.4% for central incisors and 7.9% for lateral incisors) The surface area
affected by erosion was 26.25% for central incisors and 4.83% for lateral incisors. Dent Conclusions : al erosion among 10-12-year old children
was found to be 32%. It provides evidence that dental erosion is becoming a signicant problem in schoolchildren. In this study, labial surfaces
were the most affected and matt appearance of the enamel was the most prevalent type of dental erosion. In most of the involved cases, more than
half of their surfaces were diagnosed as affected by erosion, which is frequently associated with the increased consumption of fruit juices and
carbonated beverages.
COAGULOPATHY IN CHRONIC LIVER DISEASE. A DISTURBED COAGULATION HARMONY IN RELATION TO SEVERITY OF LIVER DISEASE.
Authors: NH Rekha , Divya Gottimukkala , Gowda S Jashwanth
Published: December 2022

Coagulation of blood is the most important vital function to obviate excessive bleeding. Many coagulation factors are
involved in this process, among which most of them are synthesised in liver. Cirrhosis is dened as a nal stage of chronic
liver disease. It is associated with disturbances in the synthetic and metabolic function of liver and can leads to abnormalities in the coagulation
process. The hemostatic system is a delicate balance between prothrombotic and antithrombotic processes. Liver acts as a key organ in the
synthesis of various coagulation factors and hence participate in both primary and secondary haemostasis. Identication of specic biochemical
markers that can predict the severity of liver cirrhosis and the probability of bleeding tendency can help the physician in early identication of
complications. This study was done to analyse the efcacy of coagulation tests like PT, APTT, brinogen and platelets in predicting the severity
of liver disease and its complications, to study the relevance and signicance of coagulation tests in relation to bleeding complications in patients
with CLD. We conducted a cross sectional observation study involving 100 patients diagnosed with CLD. The mean levels of PT and Results:
APTT found to have positive association and a strong correlation with increasing grades of MELD and Child Pugh score, whereas the mean
platelet count and serum brinogen levels showed a strong negative association. Signicant correlations between PT, APTT, and declining
brinogen and platelet levels and GI bleeding were observed. Coagulation parameters like PT, APTT, brinogen and platelet levels can be used
for grading the severity of CLD and also predict the propensity of a patient with CLD to bleed.
CORRELATION BETWEEN OXYGEN SATURATION OF BLOOD AND FRONTAL TEMPERATURE IN SCREENING FOR COVID-19 IN A TERTIARY HEALTH CARE CENTRE
Authors: George Jinu , Shaji Dhanya , R Christalin . , Narayanan Kutty Subija . K.
Published: December 2022

As the COVID19 cases with new variants are on the rise, methods to screen individuals before entering a hospital or public
areas have become pivotal for the control of its spread. For these cases noncontact frontal temperature readings by infrared
thermometers are widely used in many places. But the accuracy and reliability of these are questionable due to the environmental interractions,
which were corrected by the use of pulse oximeters. Pulse oximeters transcutaneously measure the functional oxygen saturation of arterial blood
(PaO2). This is simply a reection of oxygen saturation curve. In patients with a baseline SO2 of 91% at body temperature of 370C, an increase in
body temperature to 400C is anticipated to cause a 5% decrease in SO21. This decrease has major potential implication concerning diagnosis.
EVALUATION OF RESULTS OF LAPAROSCOPIC DONOR NEPHRECTOMY
Authors: Mishra Anurag , K Singh Rana A
Published: December 2022

Context: Chronic kidney disease is a major cause of mortality and morbidity in the world today. Diseases like diabetes
mellitus, hypertension and glomerulonephritis more commonly lead to CKD, which in later stages (stage V CKD) may
require renal replacement therapy through hemodialysis, peritoneal dialysis or renal transplant. Renal transplantation offers best form of renal
replacement therapy. It can be performed by open or laparoscopic methods. Laparoscopic donor nephrectomy is associated with decrease post
operative pain, lesser duration of hospitalization, etc. for donors, thus, leading to more number of people opting for kidney donation and
augmenting the donor pool. To assess the impact of laparoscopic donor nephrectomy on graft func Aims: tion in recipient of kidney
transplantation and to evaluate the advantages of laparoscopic surgery on donor. Settings and Design: A prospective observational study
conducted at a tertiary care hospital of New Delhi. A total of 33 transpla Methods and Material: nt pairs were studied. Results of laparoscopic
donor nephrectomies were assessed by graft function and donor well being. We studied operative time, warm ischemia time, length of
hospitalization, post operative pain and return to work in donors and graft function along with time taken by serum creatinine to normalize in
recipients. Statistical analysis used: Data entry was done on Microsoft Excel and was analysed over SPSS version 21.0. A short Results:
duration of hospitalisation, low analgesics requirement, lesser post-operative pain, early oral intake, small scar, less chances of wound infection
and better cosmesis were seen with laparoscopic donor nephrectomy. We observed that mean duration of donor nephrectomy was 365±73.09
mins with blood loss of 150ml and rst warm ischemia time of 6±0.92mins. Two patients had delayed graft function (DGF). Trend in serum urea
and creatinine normalization and post-transplant urine outputs were similar to open donor nephrectomy group. Laparoscopic Conclusions:
donor nephrectomy as a minimally invasive procedure is safe and effective. It leads to short hospitalisation, less post-operative pain, better
cosmesis etc. for donor without affecting immediate or late graft function in recipient.
COMPARISON OF 2 METHODS OF BLOOD LOSS CALCULATION AGAINST THAT BY VISUAL OBSERVATION BY ANAESTHETIST IN MAJOR SURGERIES
Authors: Himanshu Kiran Khanvelkar , Shenava Arpith , Singh Shubhra
Published: December 2022

Introduction: Accurate assessment of blood loss is a problem in specialities like neurosurgery and orthopaedic surgeries
where large volume of uid is used for irrigating wounds during surgery. Blood loss quantication remains unreliable and
inaccurate and hence the debate between surgeons and anaesthetist pertaining to whether to transfuse or not and on what basis remains a
problem.We studied 2 methods of blood loss calculation based on observation and calculation and compared them with visual blood loss. Aims:
“Comparison of 2 methods of blood loss formula and their comparison based on visual observation by anaesthetist in major surgeries.”
Objectives :(1)Calculation of blood loss based on haematocrit. (2) Calculate blood loss based on haemoglobin (3)Persistence of anaemia based
on lab haemoglobin values in patients pre and post operatively (4) Comparing formula 1 & 2 to nd the appropriate formula for blood loss against
visual loss on gauze and mops and suction. This randomised trial was conducted Materials And Methods: on 85 patients at Dr. D.Y.Patil medical
college ,pune. Since different methods were used we dened 2 units measured blood volume loss which was calculated by the Blood volume loss
formula and measured hemoglobin mass loss calculated by the hemoglobin mass loss formula. The actual blood loss was assessed Result:
visually in terms of number of gauze pieces and mops used. In patients with preoperative hemoglobin less than 12g the mean actual blood loss is
statistically similar to Blood volume loss formula while in patients with preoperative hemoglobin more than 12 the mean actual blood loss is
statistically similar to hemoglobin mass loss formula The mean actual blood loss is statistically si Conclusion: milar to Hemoglobin mass loss in
patients with preoperative hb more than 12 and blood volume loss in patients with preoperative hemoglobin less than 12.
Interpretation and Further Development of the Hypnodensity Representation of Sleep Structure
Authors: Huijben Iris , Hermans Lieke WA , Rossi Allessandro C , Overeem Sebastiaan , Gilst Merel M van , van Sloun Ruud JG van
Published: December 2022

Objective: The recently-introduced hypnodensity graph provides a probability distribution over sleep stages per data window (i.e. an epoch). This work explored whether this representation reveals continuities that can only be attributed to intra-and inter-rater disagreement of expert scorings, or also to co-occurrence of sleep stage-dependent features within one epoch.

Approach: We proposed a simplified model for time series like the ones measured during sleep, and a second model to describe the annotation process by an expert. Generating data according to these models, enabled controlled experiments to investigate the interpretation of the hypnodensity graph. Moreover, the influence of both the supervised training strategy, and the used softmax non-linearity were investigated. Polysomnography recordings of 96 health sleepers (of which 11 were used as independent test set), were subsequently used to transfer conclusions to real data.

Main results: A hypnodensity graph, predicted by a

supervised neural classifier, represents the probability with which the sleep expert(s) assigned a label to an epoch. It thus reflects annotator behavior, and is thereby only indirectly linked to the ratio of sleep stage-dependent features in the epoch. Unsupervised training was shown to result in hypnodensity graph that were slightly less dependent on this annotation process, resulting in, on average, higher-entropy distributions over sleep stages (Hunsupervised = 0.41 vs Hsupervised = 0.29). Moreover, pre-softmax predictions were, for both training strategies, found to better reflect the ratio of sleep stage-dependent characteristics in an epoch, as compared to the postsoftmax counterparts (i.e. the hypnodensity graph). In real data, this was observed from the linear relation between pre-softmax N3 predictions and the amount of delta power.

Significance: This study provides insights in, and proposes new, representations of sleep that may enhance our comprehension about sleep and sleep disorders.
Active Learning Framework to Automate Network Traffic Classification
Authors: Pesek Jaroslav , Soukup Dominik , Čejka Tomáš
Published: December 2022

Recent network traffic classification methods benefit from machine learning (ML) technology. However, there are many challenges due to use of ML, such as: lack of high-quality annotated datasets, data-drifts and other effects causing aging of datasets and ML models, high volumes of network traffic etc. This paper argues that it is necessary to augment traditional workflows of ML training&deployment and adapt Active Learning concept on network traffic analysis. The paper presents a novel Active Learning Framework (ALF) to address this topic. ALF provides prepared software components that can be used to deploy an active learning loop and maintain an ALF instance that continuously evolves a dataset and ML model automatically. The resulting solution is deployable for IP flow-based analysis of high-speed (100 Gb/s) networks, and also supports research experiments on different strategies and methods for annotation, evaluation, dataset optimization, etc. Finally, the paper lists some research challenges that emerge from the first experiments with ALF in practice.
An L-Band Leaky-Wave Array Antenna for High Power Microwave Applications
Authors: Bi Shaofeng , Yuan Chengwei , Zhang Qiang , Sun Yunfei
Published: December 2022

This work seeks a novel design for a compact leaky-wave array antenna for high-power microwave (HPM) applications. The leaky-wave waveguide antenna is made of rectangular waveguide with groups of non-resonant closely-spaced slots in the waveguide’s broad-wall. By this means, more slots can be set in a unit length with lower radiation power through each slot, then higher power-handling capacity and a compact longitudinal dimension and height can be achieved. An L-band leaky-wave waveguide antenna centered at 1.57 GHz has been designed and experimentally studied. The results show that the radiation efficiency of the antenna is more than 97% and the power-handling capacity of a single waveguide exceeds 1.3 GW. In addition, a 5-waveguide array antenna was also designed. The array antenna has an aperture efficiency of 76.6% and the beam scanning range can reach ±40° in H-plane, which would be suitable for many HPM applications.
Shared Autonomy Locomotion Synthesis with a Virtual Powered Prosthetic Ankle
Authors: Hodossy Balint , Farina Dario
Published: December 2022

Virtual environments provide a safe and accessible way to test innovative technologies for controlling wearable robotic devices. However, to simulate devices that support walking, such as powered prosthetic legs, it is not enough to model the hardware without its user. Predictive locomotion synthesizers can generate the movements of a virtual user, with whom the simulated device can be trained or evaluated. We implemented a Deep Reinforcement Learning based motion controller in the MuJoCo physics engine, where autonomy over the humanoid model was shared between the simulated user and the control policy of an active prosthesis. Despite not optimising the controller to match experimental dynamics, realistic torque profiles and ground reaction force curves were produced by the agent. A data-driven and continuous representation of user intent was used to simulate a Human Machine Interface that controlled a transtibial prosthesis in a non-steady state walking setting. The continuous intent representation was shown to mitigate the need for compensatory gait patterns from their virtual users, and halve the rate of tripping. Co-adaptation was identified as a potential challenge for training human-in-the-loop prosthesis control policies. The proposed framework outlines a way to explore the complex design space of robot-assisted gait, promoting the transfer of the next generation of intent driven controllers from the lab to real-life scenarios.
Mitigating Nonlinear Distortions of High-Powered LEDs for VLC using Deep Neural Networks
Authors: K S Abhaynarasimha , Vakamulla Venkata Mani , Sellathurai Mathini
Published: December 2022

In this paper, we present a hardware implementation of a Deep Neural Network (DNN) based receiver for Visible Light Communication (VVLC) application. The presented system can combat the effects such as non-linear behavior, attenuation at higher frequencies, ambient noise, and property differences observed in high-power Commercial-off-the-shelf Light Emitting Diodes (LED).
Narrative Paragraph Generation for Photo Stream Using Neural Networks
Authors: N Anjali M , More Tejash , Misa Kumari , Nath Keshab
Published: December 2022

Humans have the innate ability to perceive an image just by looking at it, for us images are not just a collection of objects but a network of interconnected object relationships. The problem arises when a machine tries to inspect an image, hence we try to convert image data to textual data. Despite major achievements in the image captioning field, there is a lack of models that provide concise captions of a given image, moreover, already existing models are so much bigger in size that the number of learning parameters is very high. The objective of this paper is to fill that gap, hence we provide an image captioning model that will be utilizing a small and good CNN architecture which is relatively new in the research field and is not used much. Our model incorporates an advanced Deep Convolution Neural Network to extract image features and an Attention GRU with a local attention network to generate captions. We have also identified a class imbalance problem with this popular dataset so we tried to rectify this problem by adding some images of some specific classes, hence improvising the dataset as well. The model has been trained on this improvised Flickr Dataset.
A Low-Complexity Coding Scheme for NOMA
Authors: Abd-Alaziz Wael , Jebur Bilal , Fakhrey Harih , Mei Zhen , Rabie Khaled
Published: December 2022

This work focuses on exploiting the constructive interference among different users’ data waveforms to introduce new coding and decoding techniques, which are specifically designed for non-orthogonal multiple access (NOMA) systems. In this paper, a structured coding scheme is devised. In essence, the proposed technique focuses on finding a relationship between the sent users’ data waveforms and then uses this relationship in the decoding process at the receiving destination. It is worth pointing out that the proposed coding and decoding techniques exhibit better performance and reduced the complexity compared with the conventional uncoded NOMA. The complexity order evaluation shows that the proposed scheme attains a reduction in the required number of the floating point operations (FLOPs) of 5N and 6N at the second and third users, respectively, compared with that of the uncoded NOMA. Moreover, we have derived a closed-form expression for the bit-error rate (BER), which is verified using the Monte Carlo simulation. To demonstrate the practicality of the proposed system, the obtained results are compared with those of the uncoded and convolutional coding NOMA systems. Finally, the performance of the proposed system outperformed conventional systems by an average of 5 dB in the case of two users and an average of 15 dB in the case of three users in the same work environment.
CNN-Based Hybrid Precoding Design with Geometric Mean Decomposition
Authors: Abugubba Mahmoud A. , Gaboua Nagia M. , Elganimi Taissir , Rabie Khaled
Published: December 2022

Communications over millimeter-wave (mmWave) frequencies is a key technology for the fifth generation (5G) cellular networks due to the large bandwidth available at mmWave bands. The short wavelength of mmWave bands enables large antenna arrays to be placed on the transceivers which forms massive multiple-input multiple-output (MIMO). Massive MIMO with conventional fully-digital (FD) beamforming is difficult to be implemented due to high power consumption and hardware cost. One of the most effective solutions to this problem is hybrid beamforming which can be used to balance the beamforming gain, hardware implementation cost, and the power consumption. However, due to the non-convex constraints imposed by phase shifters, finding the global optima for the hybrid beamforming system is very challenging with high computational complexity. To address this issue, deep learning (DL)-based hybrid precoding with geometric mean decomposition (GMD) algorithm for narrowband mmWave massive MIMO system is proposed in this paper, where it can directly estimate the hybrid analog and digital precoders (combiners) from a given optimal FD precoder (combiner). Simulation results demonstrated that the proposed hybrid precoding model can more accurately approximate the FD precoding performance.
Blood pressure estimation from photoplethysmography by considering intra- and inter-subject variabilities: guidelines for a fair assessment
Authors: Bulhões da Silva Costa Thiago , Dias Felipe Meneguitti , Cardenas Diego Armando Cardona , Toledo Marcelo Arruda Fiuza de , Lima Daniel Mário de , Krieger José Eduardo , Antonio Gutierrez Marco
Published: December 2022

Cardiovascular diseases are the leading causes of death, and blood pressure (BP) monitoring is essential for prevention, diagnosis, assessment, and treatment. Photoplethysmography (PPG) is a low-cost opto-electronic technique for BP measurement that allows the acquisition of a modulated light signal highly correlated with BP. There are several reports of methods to estimate BP from PPG with impressive results; in this study, we demonstrate that the previous results are excessively optimistic because of their train/test split configuration. To manage this limitation, we considered intra- and inter-subject data arrangements and demonstrated how they affect the results of feature-based BP estimation algorithms (i.e., XGBoost, LightGBM, and CatBoost) and signal-based algorithms (i.e., Residual U-Net, ResNet-18, and ResNet-LSTM). Inter-subject configuration performance is inferior to intra-subject configuration performance, regardless of the model. We also showed that, using only demographic attributes (i.e., age, sex, weight, and subject index number), a regression model achieved results comparable to those obtained in an intra-subject scenario. Although limited to a public clinical database, our findings suggest that algorithms that use an intra-subject setting without a calibration strategy may be learning to identify patients and not predict BP.
Network Structure Engineering for Dissemination Amplification in Social Networks using Reinforcement Learning
Authors: Ghasemi Abdorasoul , Karami Mohammad Ali
Published: December 2022

Network structure engineering aims to intervene in the network structure to improve a specific underlying process and has applications in many research fields like biology, transportation, and network design. Here we address the problem of online social networks (OSNs) engineering by link addition through the friend suggestion for an efficient dissemination process. We propose an end-to-end machine learning framework called GCQL for optimizing or generating an effective network structure to improve the dissemination process in OSNs. We first propose a dissemination model called Complex-SII, combining two widely used dissemination models in OSNs, SIR and IC, and complex contagion. The GCQL next uses a reinforcement learning algorithm called Neural Fitted Q-Iteration for optimizing a network structure for the dissemination process and uses a graph convolution network called GCN for graph embedding and learning the important patterns and characteristics of network structure for efficient spreading. The GCQL is trained with small-sized graphs and uses the learning outcomes for medium/large-sized graphs. Our simulation results show that GCQL can generate relatively more efficient network structures than the greedy approach for small-sized networks. GCQL also uses these results to develop relatively more efficient networks than the greedy approach for medium/large-sized network structures at a much higher speed. 
Cliëntenparticipatie in de ggz tegen het licht van empowerment: Een lange weg in de geschiedenis
Authors: Meijer Angeliek
Published: December 2022

Waardoor komen veel hulpverleners in de geestelijke gezondheidszorg bij de vraag naar cliëntenparticipatie op hun werkplek niet verder dan een medezeggenschapsraad, soms nog aangevuld met huiskamergesprekken, en behandelplanbesprekingen? In dit artikel pleiten we ervoor om participatie van de cliënt te zien in functie van empowerment. Participeren – meedoen – is geen doel op zich. Het gaat om kwaliteit van leven en volwaardig burgerschap. Participatie en empowerment zijn hierbij geen processen van de cliënt en cliëntorganisaties alleen, ook de maatschappelijke omgeving speelt daarin een wezenlijke rol.
Hoe scholing in ervaringskennis en ervaringsdeskundigheid bijdraagt aan empowerment van mensen met ggz-problematiek en hun naasten
Authors: Knooren Jean
Published: December 2022

Een rijkdom aan ervaringen bij betrokkenen en hun familie Mensen maken veel mee in hun dagelijkse bestaan. Van ervaringen leert een mens, ze maken hem deskundig om met vergelijkbare of nieuwe situaties om te gaan. De kennis die iemand met die ervaringen opdoet, is persoonlijk en verborgen, (Polanyi, 1967). Wat hij ervan leert en hoe deskundig iemand wordt, kan heel verschillend zijn. Mensen die last hebben van psychiatrische beperkingen, hebben veel ervaringen die met die problematiek samenhangen; met wat geest en lichaam kunnen bewerkstelligen en welke invloed iemand daar zelf op kan uitoefenen; met wat helpt om staande te blijven of de situatie te verbeteren. Velen van hen hebben ook ervaringen met hulpverleners en allerlei instanties en maken mee hoe de samenleving op psychiatrie reageert. En in al die ervaringen zit persoonlijke impliciete kennis opgesloten. Al sinds jaar en dag helpen mensen elkaar op grond van eigen ervaringen en de kennis die dat oplevert. En dat is ook zo in de cliëntenbeweging van ggz en verslavingszorg. Een aantal cliënten wil hun ervaringskennis inzetten om medecliënten te helpen en te ondersteunen, de hulpverlening te verbeteren en drempels in de samenleving te slechten. Om de in de ervaringen opgebouwde kennis deskundig te kunnen gebruiken, heeft de cliëntenbeweging de afgelopen decennia eigen scholingen en trainingen ontwikkeld. En sinds de jaren negentig van de vorige eeuw heeft ze opleiding- en onderzoeksinstituten benaderd om dat samen met hen te doen.
Sociaalagogisch onderwijs met empowerment als gemeenschappelijke stam
Authors: Terhaag Jos
Published: December 2022

In deze bijdrage gaan we in op wat de meerwaarde kan zijn van het denken vanuit empowerment voor studenten en docenten in het sociaalagogisch onderwijs. De opbouw is als volgt. We verplaatsen ons eerst in de student die blanco en onervaren begint aan de studie. Hoe kan een student geïnteresseerd raken in het beroep en wat is de rol van een sociaalagogische opleiding hierin? Ons vertrekpunt is dat een opleiding dient te werken vanuit een krachtige visie die in het onderwijscurriculum herkenbaar terug te vinden is. Vervolgens wordt aangegeven wat de bijdrage kan zijn van lectoraten, kenniskringen, promovendi en docenten in het sociaalagogisch onderwijs. Als voorbeeld nemen we het lectoraat ‘Empowerment en maatschappelijk kwetsbare groepen’ van de Fontys Hogeschool Sociale Studies. We onderbouwen waarom het werken vanuit het empowermentparadigma een passende visie kan zijn voor het sociaalagogisch onderwijs. Verder geven we vanuit Fontys Hogeschool Sociale Studies voorbeelden van bestaande empowerende activiteiten. Tot slot benoemen we de uitdagingen die er liggen voor het sociaalagogisch onderwijs, ondersteund vanuit het lectoraat waarin docenten, promovendi en studenten een rol kunnen spelen.
Armoede van ‘binnenuit’ bekeken. Participatie van mensen in armoede in onderzoek en beleid: veerkrachtige processen
Authors: Heuver Annemarie
Published: December 2022

Op dit moment heerst er een wereldwijde economische crisis. Vaststaande zekerheden verdwijnen. Wie rijk was, kan arm worden. Het omgekeerde lijkt niet het geval te zijn. Het enige voordeel voor degene die al weinig geld had, is dat deze zich geen extra zorgen hoeft te maken over het verlies van bezit. Hoewel zelfs dat de vraag is. Maatregelingen die regeringen nemen blijken nogal eens onbedoeld slecht uit te vallen voor mensen met het minste geld. In Vlaanderen wordt dit ook wel het Matteüseffect genoemd: zo worden rijken rijker en armen armer, (Deleeck, 2008).
Steun voor processen van onderop: Over beleid en participatie van kwetsbare burgers
Authors: Paes Mariet
Published: December 2022

Mensen met een fysiek, psychisch of sociaal gezondheidsprobleem worden tegenwoordig aangeduid met de term ‘zorgvragers’. Als het daarbij gaat om een langdurend probleem of beperking dan worden zij ook wel ‘kwetsbare mensen’ genoemd. Mensen zijn echter in relatie tot zorg niet alleen vragers; de term zorgvragers is beperkend. Kwetsbare mensen zijn ook niet alleen kwetsbaar. Mensen hebben in relatie tot hun gezondheid en tot zorg een breder rolrepertoire. Mensen ‘dokteren’ zelf met een advies van een hulpverlener of met informatie van een lotgenoot; mensen krijgen of bieden hulp aan een naaste als het niet helemaal zelf lukt; mensen zoeken steun bij anderen als ze beter willen worden; mensen bekommeren zich om anderen als dat nodig is
Kwartiermaken en ervaringsdeskundigheid in maatschappelijke steunsystemen in Eindhoven en de regiogemeenten
Authors: Henkens Hanneke
Published: December 2022

Persoonlijke steun hebben we allemaal nodig. Deze steun bestaat uit een aantal mensen die om ons heen staan, waar we een beroep op kunnen doen, die er zijn als we ze nodig hebben. Mensen voor wie we zelf ook iets kunnen betekenen. Dit kunnen buren, vrienden, familie of kennissen zijn die we bijvoorbeeld in verenigingsverband ontmoeten of met wie we een praatje maken als we ze op straat of in de winkel tegenkomen. Steun leidt tot acceptatie en geborgenheid, waarbij men het gevoel krijgt bij een sociaal systeem te horen. Steun is een basisbehoefte voor iedereen, maar voor kwetsbare mensen is deze vorm van persoonlijke steun niet vanzelfsprekend. Sommigen hebben slecht één persoon in hun persoonlijk netwerk of helemaal niemand. In het bovenstaande citaat wordt duidelijk dat kwetsbare mensen met psychische problemen ook veel contacten kunnen verliezen, waardoor ze er erg alleen voor komen te staan.
De kracht van zelfhulpgroepen
Authors: Lok Annemargriet
Published: December 2022

In dit artikel belichten we de kracht van zelfhulpgroepen voor kwetsbare burgers en voor de reguliere zorg. We zoomen in op vier aspecten. In het eerste deel maken we de verbinding tussen zelfhulp en zelfhulpgroepen met het empowermentparadigma. Als rode draad hanteren we de volgende definitie van Tine Van Regenmortel (2008) van het begrip empowerment. Een proces van versterking waarbij individuen, organisaties en gemeenschappen greep krijgen op de eigen situatie en hun omgeving en dit via het verwerven van controle, het aanscherpen van kritisch bewustzijn en het stimuleren van participatie. Vervolgens schetsen we de omschrijving en de belangrijkste kenmerken van zelfhulpgroepen met een korte historische schets. De elementen van slagkracht en effecten van zelfhulpgroepen komen in een derde deel aan bod. We ronden af met een stand van zaken over de relatie tussen zelfhulp en de reguliere ggz-instellingen.
Kennis persoonlijk maken: Cliëntenparticipatie in onderzoek
Authors: van Haaster Harrie
Published: December 2022

Kennis is een van de belangrijkste bronnen voor ontplooiing en voor de realisatie van kwaliteit van leven. De verlichtingsfilosoof Francis Bacon (circa 1561-1626) gaf aan dat kennis macht is. Kennis is met andere woorden een belangrijk onderdeel van empowerment. Wie kennis vergaart en kennis heeft, ontwikkelt meer macht, niet alleen maatschappelijk, maar ook bijvoorbeeld over het eigen leven, de eigen geest en over het eigen handelen. Met kennis kan men zowel het individuele als het collectieve handelen verbeteren. De verdeling van kennis is daarom een belangrijk onderwerp geworden in emancipatiebewegingen en zo ook in de cliëntenbeweging. Er zijn twee benaderingen van hoe die kennis tot stand komt en bij de mensen komt.
Professionele ondersteuning vanuit het perspectief van kwetsbare ouderen
Authors: Janssen Bienke
Published: December 2022

Het is algemeen bekend dat het aandeel ouderen in westerse samenlevingen toeneemt. Zo zijn er in Nederland momenteel 2,4 miljoen mensen die 65 jaar of ouder zijn, (Van Campen, 2008). Dit komt overeen met 14 procent van de bevolking. De verwachting is dat dit aandeel toe zal nemen tot ongeveer 4 miljoen ouderen in 2030 (Van Campen, 2008). Niet alleen komen er meer ouderen, ze worden ook ouder. Zorgafhankelijkheid neemt exponentieel toe naarmate men ouder wordt. Personen van 75 jaar en ouder maken relatief veel gebruik van publieke voorzieningen, in het bijzonder van de gezondheidszorg, (De Boer, 2006; Van Campen & Den Draak, 2007). De verwachting is dat de komende decennia de vraag naar publieke voorzieningen alleen maar verder zal stijgen, (Eggink, 2008). Uit onderzoek blijkt dat er een tekort verwacht wordt aan verpleegkundigen en verzorgenden in alle sectoren, maar specifiek ook in de ouderenzorg, (Van der Windt, 2008). Ook de vraag naar betaalbaarheid van de zorg doet zich voor. Naast ziekenhuiszorg neemt ouderenzorg het grootste deel van de zorguitgaven van de overheid voor haar rekening. Ongeveer een kwart van het Budgettair Kader Zorg wordt momenteel besteed aan verpleging en verzorging, (Westert, 2008). Onder andere door de vergrijzende samenleving kunnen deze zorguitgaven in de toekomst verder toenemen, (Westert, 2008). Dit alles maakt dat de kwaliteit van de ouderenzorg hoog op de agenda staat, (zie onder andere het Nationaal Programma Ouderenzorg, 2008). De Nederlandse overheid heeft als doel ouderen zo lang mogelijk onafhankelijk te laten zijn en ze zo lang mogelijk in hun eigen woning te laten wonen, (VROM/VWS, 2001). Dit roept de vraag op of het mogelijk is om de autonomie van oudere mensen te versterken in een situatie van groeiende afhankelijkheid en kwetsbaarheid en wat hulpverleners kunnen doen om deze ouderen te ondersteunen in hun empowermentproces. In dit artikel gaan we in op de vraag hoe zorg, vanuit een empowerment perspectief hulpbehoevende, zelfstandig wonende ouderen kan versterken.
PENINGKATAN KEMAMPUAN BERPIKIR GEOMETRI SISWA KAM TINGGI DENGAN MODEL PROCESS ORIENTED GUIDED INQUIRY LEARNING (POGIL)
Authors: Hardianti Desrina , Priatna B A , Priatna N
Published: December 2022

Penelitian ini bertujuan untuk menganalisis peningkatan kemampuan berpikir geometri siswa KAM tinggi. Pendekatan yang digunakan dalam penelitian ini adalah pendekatan kuantitatif dengan metode kuasi eksperimen. Sample dalam penelitian ini adalah siswa kelas VII sebanyak 63 siswa di salah satu SMP di kota Bandung. Instrumen yang digunakan untuk mengumpulkan data adalah dengan tes. Sebelum dilakukan uji hhipotesis, data terlebih dahulu dianalisis dengan melakukan uji prasyarat yaitu, uji normalitas dan uji homogenitas. Setelah dilakukan uji prasyarat, selanjutny dilakukan uji hiipotesis dengan uji perbedaan. Hasil penelitian dan uji hipotesis menunjukan bahwa peningkatan kemampuan berpikir geometri siswa KAM tinggi yang memperoleh pembelajaran dengan model POGIL lebih tinggi secara signifikan daripada siswa yang memperoleh pembelajaran biasa. Hal ini terlihat dari jawaban-jawaban siswa dan peningkatan level berpikir siswa. Sebanyak 74% siswa dengan KAM tinggi meningkat level berpikirnya dari level 1 ke level 2 dan 25% siswa tetap berada pada level 1. Oleh karena itu model POGIL dapat digunakan dalam pembelajaran geometri, serta bagi peneliti yang akan melakukan penelitian sejenis sebaiknya juga menganalisis kemampuan berpikir geometri siswa dengan KAM sedang dan rendah
MODEL FLU EPIDEMI DENGAN DUA STRAIN VIRUS DAN VAKSINASI TUNGGAL
Authors: Noprisa Noprisa , Aryati L
Published: December 2022

Pada paper ini, dibentuk model epidemi  dengan vaksinasi hanya terhadap virus strain pertama. Analisis kestabilan pada model dilakukan dengan memperhatikan nilai parameter ambang batas . Model yang dibentuk menunjukkan adanya penyebaran strain virus kedua yaitu dampak dari pelaksanaan vaksinasi tunggal pada dinamika infeksi dua strain virus. Pada nilai parameter ambang batas tertentu, terdapat titik ekuilibrium bebas penyakit dan titik ekuilibrium endemik yang stabil asimtotik global. Simulasi numerik diberikan untuk mempermudah dalam interpretasi hasil analisisnya.
PENERAPAN METODE MENGAJAR BERVARIASI DALAM MENINGKATKAN HASIL BELAJAR MATEMATIKA SISWA
Authors: Apriyanti Apriyanti , Chandra Zakiyah
Published: December 2022

Dalam penelitian ini metode yang digunakan adalah metode deskriptif kuantitatif, analisis data menggunakan rumus statistik. Populasi dalam penelitian ini yaitu seluruh siswa kelas VII SMP Taruna Jaya Jati Agung Lampung Selatan yang terdiri dari 2 kelas dengan jumlah 60 siswa, sedangkan sampel yaitu kelas VII.A sebagai kelas eksperimen dan kelas VII.B sebagai kelas kontrol. Untuk mengetahui hasil belajar siswa penulis melakukan tes essay. Berdasarkan hasil perhitungan didapatkan hit t = 3,57,untuk uji kesamaan dua rata-rata untuk  = 0,05 diperoleh daf t = 2,00, jadi dapat dikatakan bahwa hit t > daf t hal menunjukan bahwa “ada pengaruh metode mengajar bervariasi dalam meningkatkan hasil belajar matematika pada siswa kelas VII semester genap SMP Taruna Jaya Jati Agung Lampung Selatan dan pada uji perbedaan dua rata-rata untuk  = 0,05 diperoleh daf t = 1,67, diperoleh thit > tdaf, dengan demikian dapat disimpulkan bahwa: “Ratarata hasil belajar matematika siswa yang diajar dengan menggunakan metode mengajar bervariasi lebih tinggi dari rata-rata hasil belajar matematika siswa yang tidak diajar dengan menggunakan metode mengajar bervariasi”. Dengan demikian dapat disimpulkan bahwa penerapan metode menga-jar bervariasi berpengaruh positif atau dapat meningkatkan hasil belajar matematika
PENINGKATAN KEMAMPUAN PEMAHAMAN MATEMATIS PESERTA DIDIK MENGGUNAKAN MEDIA VIDEO PEMBELAJARAN PASCA COVID-19
Authors: Nurshifa Nurshifa , Desmayanasari Dwi , Noprisa Noprisa , Lestari Fitria
Published: December 2022

This study aims to determine the improvement of students' mathematical understanding skills using instructional video media. This research was conducted at one SMP Negeri 3 Tanjung Bintang, South Lampung 2021/2022. The subjects in this study were students of class VIII consisting of an experimental class and a control class, each of which was opened by 30 students. The samples were taken in this study using a purposive sampling technique. Data collection in the form of pretest and posttest. Pretest and posttest were used to measure mathematical understanding ability. The results showed an increase in the mathematical understanding of the experimental class 81,187 and the control class 71,349 t test resulted in a value of sig (2-tailed ) = 0.000 < 0.05 then H0 was rejected so that the average score for increasing the understanding of mathematical concepts in the experimental class was better than the average score. control class improvement.
Combat Art: An Avant-Garde Approach to Developing Critical Thinkers
Authors: Cash Eric
Published: December 2022

Combat art—in this case, paintings and sketches created by Marines and drawn from lived combat experience—is a unique form of fine art. A body of research suggests that studying fine art can develop critical thinking skills that transfer across numerous disciplines. For U.S. Marines, engaging combat art improves the critical thinking skills and creative problem-solving abilities needed to succeed in future wars. Moreover, as fine art created by Marines in war, combat art also prepares a Marine’s mind for the physical and emotional realities of combat.
MOTIVASI BELAJAR SISWA KELAS 4 SD MUHAMMADIYAH 3 SURABAYA PADA PELAKSANAAN PERTEMUAN TATAP MUKA (PTM ) TERBATAS
Authors: Aprelia Dwi Ulfa , Setiawan Fajar , Minarwati Lilik Binti
Published: December 2022

Tujuan dari penelitian ini adalah untuk mengetahui motivasi belajar siswa kelas 4 pada pelaksanaan pembelajaran tatap muka (PTM) secara terbatas di SD Muhammadiyah 3 Surabaya. Metode yang digunakan dalam penelitian ini adalah metode kualitatif. Teknik pengumpulan data menggunakan teknik observasi, wawancara dan dokumentasi. Subyek penelitian ini adalah guru kelas 4 di SD Muahmmadiyah 3 Surabaya. Data berdasarkan hasil penelitian menunjukan bahwa pembelajaran jarak jauh atau daring ini berpengaruh terhadap motivasi belajar siswa. Dikarenakan  siswa menjadi mudah bosan, kurang disiplin dan kurang bersosialisasi saat proses pembelajaran jarak jauh berlangsung. Pembelajaran kurang menarik tidak seperti pembelajaran tatap muka dikelas. Oleh karena itu, dengan adanya rencana pembelajaran pertemuan tatap muka (PTM) secara terbatas membuat semangat motivasi belajar siswa meningkat. cara untuk menumbuhkan motivasi belajar siswa dapat dilakukan dengan memberikan motivasi – motivasi belajar kepada siswa dengan perkataan positif dan membangun suasana pembelajaran yang nyaman, aman, tenang dan memberikan perhatian kepada siswa saat pembelajaran pertemuan tatap muka (PTM) terbatas berlangsung.

Kata kunci: Motivasi Belajar; Pertemuan Tatap Muka (PTM).
PENGEMBANGAN LKPD LIVEWORKSHEETS BERBASIS DISCOVERY LEARNING PADA PEMBELAJARAN TEMATIK TERPADU DI KELAS IV SD
Authors: Fitri Dola Azhari , Reinita Reinita
Published: December 2022

Penelitian ini dilatar belakangi oleh pemanfaatan teknologi yang belum digunakan secara maksimal dalam pembelajaran tematik terpadu di Sekolah Dasar. Jenis penelitian ini adalah penelitian pengembangan dengan metode research and development (R&D). Penelitian ini menggunakan model pengembangan 4-D (four- D) yaitu tahap pendefinisian (define), perancangan (design), pengembangan (develop) dan penyebaran (disseminate). Subjek uji coba penelitian ini adalah siswa kelas IV SDN 10 Lubuk Begalung yang berjumlah 27 orang untuk mengetahui praktikalitas produk yang dikembangkan. Hasil penelitian ini adalah produk berupa LKPD menggunakan Liveworksheets berbasis Discovery Learning untuk siswa kelas IV SD. Hasil analisis terhadap instrumen validasi materi adalah 88,8%, validasi kebahasaan adalah 90%, dan validasi media adalah 92,70%, maka LKPD yang dikembangkan berkategori sangat valid. Tingkat praktikalitas LKPD dari guru sebesar 97,14% (sangat praktis) dan tingkat praktikalitas LKPD oleh peserta didik mencapai nilai praktikalitas sebesar 92,86% (sangat praktis).