bluuebunny/crossref_metadata_2025 huggingface dataset:
Hemorrhagic cervical juxta-facet cyst presenting with Brown-Séquard syndrome: illustrative case
Authors: Shimura Shigeyoshi , Saito Ryu , Yagi Takashi , Yoshioka Hideyuki , Kinouchi Hiroyuki
Published: May 2023

BACKGROUND

Intraspinal juxta-facet cysts of the spine are known to predominate at the lumbar level and is relatively rare at the cervical level. Most cervical spinal lesions are found incidentally, but they sometimes cause myelopathy or radiculopathy in a chronic course.

OBSERVATIONS

The authors present a rare case of hemorrhagic cervical juxta-facet cyst presenting with Brown-Séquard syndrome. An 86-year-old woman presented with acute-onset right hemiparesis following neck pain and was admitted to the local hospital. She was started on antithrombotic therapy with a suspected diagnosis of cerebral infarction, but quadriplegia progressed 2 days later. Cervical magnetic resonance imaging revealed an intraspinal mass at the C4–5 level and she was referred to the authors’ hospital. Her neurological findings on admission revealed right Brown-Séquard syndrome. In emergency surgery, the mass was resected with a posterior approach. Pathological findings showed hemosiderin deposition and fibroblast proliferation, consistent with a juxta-facet cyst with intracystic hemorrhage. The patient recovered well and returned to an independent daily life.

LESSONS

Rarely, juxta-facet cyst of the cervical spine can cause acute Brown-Séquard syndrome due to intraspinal hemorrhage. In a case of hemiparesis that develops following neck pain, hemorrhagic cervical juxta-facet cyst should be taken into consideration as a differentiation.
Uniportal full endoscopic spinous process–preserving laminectomy for bilateral decompression in cervical stenotic myelopathy: patient series
Authors: Ma Hyun-Jin , Lee Sang-Ho , Park Chan Hong
Published: May 2023

BACKGROUND

Endoscopic decompression for cervical stenotic myelopathy has several advantages over conventional open surgery. However, sometimes performing bilateral decompression, especially contralateral decompression, can be dangerous. The cervical spine has specific characteristics, including a shallower lamina angle and thinner lamina than the lumbar or thoracic lamina. These characteristics may cause cord compression when instruments approach the contralateral side of the lamina. This article introduces a novel surgical technique that can overcome the specificities of the cervical spine and discusses the efficacy and safety of uniportal full endoscopy for cervical decompression.

OBSERVATIONS

Fourteen patients underwent uniportal full endoscopic spinous process–preserving laminectomy (ESP-L) for bilateral decompression of multilevel cervical stenotic myelopathy. The mean follow-up period was 13.44 months (range: 4–17 months). The preoperative and postoperative cervical spine angle and cervical range of motion did not differ significantly. The Japanese Orthopaedic Association score significantly improved postoperatively. The numeric rating scale scores significantly improved postoperatively. The mean duration of postoperative hospitalization was 2.3 days.

LESSONS

ESP-L is a new, safe, effective, and noninvasive technique that can achieve complete decompression of multilevel cervical stenotic myelopathy.
Urgencias en Psiquiatría de la Infancia y la Adolescencia: ¿Dónde está el límite?
Authors: Morer Liñán Astrid
Published: May 2023

El incremento de las urgencias hospitalarias de psiquiatría de niños y adolescentes ha sido continúo en la última década (1) y en muchos casos puede considerarse el reflejo de la necesidad no cubierta por recursos asistenciales comunitarios. Este incremento se venía observando ya en los años previos a la pandemia (2,3), pero la crisis postCOVID-19 lo ha acelerado (llegándose a cifras del 50% de aumento durante el 2021 y de hasta del 83% respecto a cifras previas a la pandemia en la provincia de Lleida) (4,5). Este incremento parece que se ha estabilizado en los últimos meses. Sin duda la pandemia ha ayudado a aumentar la conciencia social de la salud mental de niños y adolescentes, pero el dato relevante es que el incremento de las visitas a urgencias sigue una pendiente continua desde la crisis económica de 2009 y no en forma de “oleada” derivada de la pandemia (1,3,6) . Aún así, son escasos los estudios longitudinales publicados al respecto y es difícil contrastar los datos generados en diferentes entornos geográficos y sociales. Aunque parece claro que ha habido aumento de casos tanto en niños como en adolescentes, más del 90% de estas consultas suelen ser en jóvenes mayores de 12 años.
Abuso sexual infantil y consecuencias psicopatológicas en la vida adulta
Authors: Real-López M. , Peraire M. , Ramos-Vidal C. , Llorca G. , Julián M. , Pereda N.
Published: May 2023

Introducción: El abuso sexual infantil (ASI) es una forma de maltrato universal e infraestimado que constituye un problema de salud pública. Afecta a la adaptación psicológica y mental de las víctimas, a corto y largo plazo, generando problemas físicos, emocionales, sociales y conductuales. Se pretende estudiar el impacto del ASI en cuanto a psicopatología del adulto, detallando aquellas características que determinan la tipología y gravedad de la sintomatología. Metodología: Se lleva a cabo una revisión a través de bases de datos y revistas especializadas, en un intervalo temporal que abarca de enero de 2010 a septiembre de 2021, utilizando las palabras clave: ‘child sexual abuse’, ‘child sex abuse’, ‘psychopathology’, ‘psychopathological consequences’. Se preseleccionan 114 artículos, que se filtran según muestra analizada y calidad metodológica, escogiendo 21 para revisar. Resultados: Se evidencia que el ASI se asocia de forma determinante con clínica de inicio en la etapa adulta que incluye ansiedad, trastornos del estado de ánimo, quejas somáticas, abuso de sustancias e ideación suicida. La psicopatología es más grave en contexto intrafamiliar, dado que la ruptura de confianza y apego resulta traumática. Aun así, no existe una psicopatología unívoca que pueda constituir un ‘síndrome post-abuso’. Conclusiones: El abuso sexual infantil es una experiencia vital compleja que se asocia a consecuencias severas. Sería recomendable elaborar programas de prevención y detección precoz, aumentando las campañas de sensibilización y replicando ensayos longitudinales y prospectivos que contribuyan a ampliar el conocimiento sobre sus consecuencias.
Lo que aprendí del Dr. Joseph Biederman (1947-2023)
Authors: Soutullo Cesar A.
Published: May 2023

Es difícil resumir en pocas palabras lo que Joe Biederman ha sido para tantos psiquiatras de niños y adolescentes en todo el mundo. Seguramente cada uno tendremos una experiencia diferente según haya sido nuestro contacto con él. Para mí Joe ha sido un referente y un ejemplo, y gran parte de lo que sabemos sobre el Trastorno por Déficit de Atención con Hiperactividad (TDAH), los Trastornos del humor en niños y adolescentes, y su evaluación y tratamiento farmacológico, lo hemos aprendido de él/de su equipo. También es muy difícil escribir esto, y lo he dejado cocer a fuego lento varias semanas en mi cabeza, antes de sacarlo al papel.
BIMBINGAN PEMBUATAN GELANG MANIK PADA SISWA SLBN PEMBINA PROVINSI KALIMANTAN TIMUR 2023
Authors: Afdal Afdal
Published: May 2023

Kegiatan ini bertujuan untuk meningkatkan keterampilan belajar siswa melalui kegiatan meronce, yaitu membuat gelang manik dengan model pembelajaran langsung pada mata pelajaran Seni Budaya dan Prakarya di SLBN Pembina Provinsi Kalimantan Timur. Kegiatan ini dilaksanakan sebanyak dua siklus, setiap siklus dilakukan dua kali pertemuan melalui tahapan perencanaan, pelaksanaan, observasi dan refleksi. Dari hasil observasi pada siswa mengalami peningkatan dari hasil siklus I sampai siklus II yaitu, siklus I pertemuan pertama rata-rata nilai yaitu 67 dengan persentase ketuntasan 0%, pada siklus I pertemuan kedua dengan nilai rata-rata 72,8 dengan persentase ketuntasan 50%, Pada siklus II pertemuan pertama nilai rata-rata 78 dengan persentase ketuntasan 66%, Pada siklus II pertemuan kedua rata-rata yaitu 81 dengan persentase ketuntasan 83%. Kata Kunci : Bimbingan, Pembuatan, Gelang Manik
Manfaat Senam Untuk Meningkatkan Kualitas Tidur Ibu Hamil Pada Masa Pandemik Covid-19
Authors: Kadir Arisna , Yun Diniaty Rosidi Indah
Published: May 2023

Kehamilan normal adalah suatu proses alamiah yang dimulai dari pertemuan sperma dan ovum, nidasi, konsepsi hingga lahirnya bayi dengan lama 280 hari atau 40 hari terhitung dari hari pertama haid terakhir. Dalam proses kehamilan terjadi perubahan anatomi fisiologi dan adaptasi psikologi yang memerlukan dukungan, suplai nutrisi dan istirahat yang optimal. Kualitas tidur yang baik adalah suatu kondisi tidur dimana seseorang memperoleh kesegaran dan kebugaran saat terbangun merupakan prinsip dasar dari istirahat yang optimal. Beberapa aspek dapat menjadi cakupan kuantitatif dari kualitas tidur diantaranya yaitu durasi, latency, serta aspek subjektif lainnya yang dapat ditingkatkan melalui aktifitas fisik seperti senam. Tujuan penelitian ini yaitu untuk mengkaji perubahan pola tidur ibu hamil trimester tiga selama pelaksanaan senam hamil. Metode penelitian yang digunakan yaitu deskriptif kualitatif dengan menggunakan teknik purposive random sampling dengan total sample sebanyak 5 orang. Hasil penelitian menunjukkan bahwa terjadi peningkatan yang signifikan terhadap kualitas tidur ibu hamil trimester tiga setelah mengikuti senam hamil sebanyak dua kali, awalnya keseluruhan responden memiliki kualitas tidur kurang, namun setelah senam kualitas tidur tiga responden menjadi cukup. Penelitian ini terlaksana di wilayah kerja puskesmas pattingalloang
PENERAPAN MANAJEMEN RISIKO OPERASIONAL PADA BANK NAGARI SYARIAH CABANG PEMBANTU PADANG PANJANG
Authors: Saputri Wulan , Putri Yola yudia putri Yudia , Wulan Wulan saputri Wulan
Published: May 2023

Today, Islamic banking has a weakness that is the lack of public trust in Islamic banks and prefer to transact in conventional banks. So a new strategy or paradigm is needed to build the image of Islamic banks in order to increase the capacity of banking institutions. New strategies or paradigms in building the image of Islamic banks can be done through the application of banking operational risk management in Islamic state banks.
Pengaruh Marketing Mix Yang Di Mediasi Oleh Kualitas Pelayanan Terhadap Keputusan Pembelian Pada Surya Naufal Farm
Authors: Saputra Yusuf , Khairunnisa Khairunnisa
Published: May 2023

The problem this research is how much influence the marketing mix mediated by service quality has on purchasing decisions at Surya Naufal Farm. The purpose of writing this thesis is to determine the effect of the marketing mix mediated by service quality on purchasing decisions at Surya Naufal Farm. The type of research conducted is field research using a quantitative approach. Data collection techniques using a questionnaire. The population in this study are all Surya Naufal Farm consumers who are domiciled in Koto VII District. The sample in this study was determined by the Cochran formula as many as 97 respondents. The data analysis technique used path analysis. Based on the results of research that has been carried out, it shows that there is a significant influence between the marketing mix variable (X) on the service quality variable (Z) at Surya Naufal Farm, there is a significant influence between the marketing mix variable (X) on the purchasing decision variable (Y) at Surya Naufal Farm, there is a significant influence between the service quality variable (Z) on the purchasing decision variable (Y) at Surya Naufal Farm and there is a significant influence between the marketing mix variable (X) mediated by service quality (Y) on purchasing decisions ( Y) at Surya Naufal Farm.
Characterizing PRN Use of Psychotropic Medications for Acute Agitation in Canadian Long-Term Care Residents with Dementia Before and During COVID-19
Authors: Wang Hui Jue , Kusumo Raphael W. , Kiss Alex , Tennen Gayla , Marotta Giovanni , Viaje Shirley , Lanctôt Krista L.
Published: May 2023

Background:

Agitation is a disabling neuropsychiatric symptom of dementia. Pro re nata (PRN) injections of psychotropics can be administered for severe acute agitation, but little is known about the frequency of their actual use.

Objective:

Characterize actual use of injectable PRN psychotropics for severe acute agitation in Canadian long-term care (LTC) residents with dementia and compare use before and during the COVID-19 pandemic.

Methods:

Residents from two Canadian LTC facilities with orders for PRN haloperidol, olanzapine, or lorazepam between January 1, 2018– May 1, 2019 (i.e., pre-COVID-19) and January 1, 2020– May 1, 2021 (i.e., COVID-19) were identified. Electronic medical records were reviewed to document PRN injections of psychotropic medications and collect data on reason and demographic characteristics. Descriptive statistics were used to characterize frequency, dose, and indications of use, and multivariate regression models were used to compare use between time periods.

Results:

Of the 250 residents, 45 of 103 (44%) people in the pre-COVID-19 period and 85 of 147 (58%) people in the COVID-19 period with standing orders for PRN psychotropics received ≥1 injections. Haloperidol was the most frequently used agent in both time periods (74% (155/209 injections) pre-COVID-19; 81% (323/398 injections) during COVID-19). Residents in the COVID-19 period were almost two times more likely to receive injections compared with those in the pre-COVID-19 period (odds ratio = 1.96; 95% CI = 1.15–3.34; p = 0.01).

Conclusion:

Our results suggest that use of PRN injections increased in LTC during the pandemic and contribute to the mounting evidence that agitation worsened during that time.
Hypofractionated Radiation Therapy (Hypo-RT) for the Treatment of Localized Bladder Cancer
Authors: Moore Assaf , Lobaugh Stephanie M. , Zhang Zhigang , Rosenberg Jonathan E. , Iyer Gopa , Teo Min Yuen , Bochner Bernard , Donahue Timothy , Nunez David Aramburu , Dreyfuss Alexandra , Gorovets Daniel , Zelefsky Michael J. , Kollmeier Marisa A.
Published: May 2023

BACKGROUND:

Various radiotherapeutic regimens are used in the treatment of bladder cancer.

OBJECTIVE:

We aimed to evaluate early toxicity and outcomes associated with hypofractionated radiation therapy (Hypo-RT), 55Gy in 20 fractions.

MATERIAL AND METHODS:

We identified 40 patients who received definitive Hypo-RT for localized bladder cancer. Most patients were men (62.5%), elderly (median age 82), had high Charlson Comorbidity Index score (median 7, range 4–9) and were nonsurgical candidates (80%). Sixty-eight percent had a macroscopically complete transurethral resection of bladder tumor (TURBT) and 33 patients (82.5%) received concurrent chemotherapy. Acute (< =3mo) and late (>3mo) toxicities were assessed according to CTCAE v4.0. Survival outcomes were estimated using the Kaplan-Meier method. Median follow up after Hypo-RT was 32 months (95% CI: 28–49 months).

RESULTS:

Overall rates of acute grade 2 genitourinary (GU) and gastrointestinal (GI) toxicities were 40% each, most commonly urinary frequency and diarrhea. Two cases of acute grade 3 GU/GI toxicity occurred. Late grade 2+ toxicity occurred in 3 patients (7.5%): 2 grade 2 GU and 1 grade 3 GI. Seventy-seven percent achieved a complete response (CR). Six patients (20%) developed disease recurrence at a median time of 9.1 months. The estimated 2-year DFS and 2-year DSS rate were 59% (95% CI, 45–78%) and 78% (95% CI, 65–93%), respectively. Receipt of concurrent chemotherapy ( p = 0.003) and achieving a CR ( p = 0.018) were univariably associated with improved DSS. Tis component was associated with worse DSS ( p = 0.015).

CONCLUSION:

Hypo-RT had a favorable toxicity profile and encouraging cancer control outcomes in this mostly elderly and frail patient cohort.
Defective vertex and stable connectivity of a fuzzy graph and their application to identify the chickenpox
Authors: Sivasankar S. , Bera Sanchari , Maaz Syed Ibrahim , Pal Madhumangal
Published: May 2023

A new concept of vertices in a fuzzy graph known as defective vertices is introduced here. A vertex in a fuzzy network is called defective if no edges incident with it are strong. Defective vertex cannot be ignored when determining dominance in a fuzzy network because they are a part of the network. Finding defective vertices in a network is not much difficult when the adjacency matrix is given. In this paper, the novel concept of defective vertices of a fuzzy graph is introduced. Based on this idea a stable domination set and a stable domination number are defined. This also optimised the network by establishing minimal connectivity. We have proposed three algorithms for finding the defective vertices, establishing stable connectivity, and determining the stable domination number for a given graph. An application of stable domination in the diagnosis of chickenpox disease is demonstrated to show the effectiveness of the proposed algorithms.
Blind source separation of electromagnetic signals based on deep focusing U-Net
Authors: yang Chen , Jinming Liu , Jian Mao
Published: May 2023

The unintentional electromagnetic radiation of digital electronic devices during operation can cause information leakage and threaten the information security of the system. In order to explore the leakage level of important information, it is necessary to separate the electromagnetic leakage signal from the complex environmental electromagnetic wave, so the blind source separation technology is studied.Traditional blind source separation methods are mainly unsupervised learning methods, and their separation results are not as expected. In recent years, deep learning technology based on supervised learning has achieved good results in speech separation and other fields, indicating that it is a feasible method.In order to solve the problem of separating source signals from mixed electromagnetic radiation signals and reducing noise interference in electromagnetic safety detection. this paper proposes a Deep Focusing U-Net neural network, which makes the model pay more attention to the features at deeper layer. The network is applied to the blind separation of LCD electromagnetic leakage signals, and the good separation performance proves the effectiveness of this method.
Characterizations of generalized fuzzy ideals in ordered semigroups
Authors: Davvaz Bijan , Chinram Ronnason , Lekkoksung Somsak , Lekkoksung Nareupanat
Published: May 2023

Ideals play an essential part in studying ordered semigroups. There are several generalizations of ideals that are used to investigate ordered semigroups. It is known that (m, n)-ideals are an abstraction of bi-ideals, and n-interior ideals are an abstraction of interior ideals. This paper introduces a generality of (m, n)-ideals and n-interior ideals, so-called (α, β)-fuzzy (m, n)-ideals and (α, β)-fuzzy n-interior ideals. Furthermore, we discuss our current notions with those that already exist. We examine connections between (m, n)- (resp., n-interior) ideals and (α, β)-fuzzy (m, n)- (resp., n-interior) ideals. A characterization of (α, β)-fuzzy (m, n)- (resp., n-interior) ideals, by a particular product, in ordered semigroups is provided. We demonstrate that our results generalize the known results through specific settings.
Sinkhole detection and prediction using watermarking (SNDW)
Authors: Ramachandran Dhanagopal , Venkatesh J. , Jothilakshmi R. , Gugapriya G.
Published: May 2023

Since there is no central controller, preserving the security and energy efficiency of wireless sensor networks (WSN) is challenging. They also have a flexible configuration. A network of this type is vulnerable to several attacks. The main goal of this paper is to focus on a well-known attack known as the sinkhole attack. Sensors are installed and positioned equally in a WSN to communicate sensed data to a centralized station regularly. So, the sinkhole attack is a big danger to the WSN network layer, and it is still a difficult issue on sensor networks, where even the malicious node collects packets from other regular sensor nodes and dumps them. To maintain the integrity and authentication of data during its travel in wireless sensor networks overcoming sinkhole attacks we propose a novel approach. In our approach besides overcoming sinkhole attack using a threshold-based method, authentication, and data integrity is maintained using a watermarking-based technique.
Robust semi-supervised classification for imbalanced and incomplete data
Authors: Chen Mengxing , Dou Jun , Fan Yali , Song Yan
Published: May 2023

Self-training semi-supervised classification has grown in popularity as a research topic. However, when faced with several challenges including outliers, imbalanced class, and incomplete data in reality, the traditional self-training semi-supervised methods might adversely damage the classification accuracy. In this research, we develop a two-step robust semi-supervised self-training classification algorithm that works with imbalanced and incomplete data. The proposed method varies from traditional self-training semi-supervised methods in three major ways: (1) The method in this paper does not necessitate the balance and complete assumption in traditional semi-supervised self-training methods, since it can complete and rebalance the dataset simultaneously. (2) This method is compatible with many classifiers, so it can handle multi-classification and non-linear classification cases. (3) The classifier in this paper is resistant to outliers during semi-supervised classification. Furthermore, several numerical simulations were performed in this research to illustrate the quality of our method to synthesized data, as well as multiple experiments to demonstrate our method superior classification performance on various real datasets.
Worsening of Parkinson’s Disease After Termination of COVID-19 Quarantine Cannot Be Reversed Despite Resumption of Physiotherapy
Authors: Ineichen Christian , Vogel-Baumann Heide , Sitzler Matthias , Deuschl Günther , Baumann Christian R.
Published: May 2023

In a retrospective analysis, we recently reported findings on the detrimental motor effects of interrupted physiotherapy following the COVID-19 pandemic in parkinsonian patients. Using an extended follow-up period, we investigated the beneficial effect of reinstated physiotherapy on patients’ disease severity and reversal of interruption-induced motor deterioration. Compared to before the COVID-19 outbreak, we observed persistence of motor disease worsening despite full resumption of state-of-the-art physical therapy suggesting that motor deterioration after discontinuation of physical therapy could not be compensated for. Therefore, and considering possible future crises, establishing means to safeguard continuation of physical therapy and to foster remote provision of care should be major goals.
Community structure of the football transfer market network: the case of Italian Serie A
Authors: Palazzo Lucio , Rondinelli Roberto , Clemente Filipe Manuel , Ievoli Riccardo , Ragozini Giancarlo
Published: May 2023

The men’s football transfer market represents a complex phenomenon requiring suitable methods for an in-depth study. Network Analysis may be employed to measure the key elements of the transfer market through network indicators, such as degree centrality, hub and authority scores, and betweenness centrality. Furthermore, community detection methods can be proposed to unveil unobservable patterns of the football market, even considering auxiliary variables such as the type of transfer, the age or the role of the player, and the agents involved in the transfer flow. These methodologies are applied to the flows of player transfers generated by the 20 teams of the Italian first division (Serie A). These flows include teams from all over the world. We consider the summer market session of 2019, at the beginning of the season 2019-2020. Results also help to better understand some peculiarities of the Italian football transfer market in terms of the different approaches of the elite teams. Network indices show the presence of different market strategies, highlighting the role of mid-level teams such as Atalanta, Genoa, and Sassuolo. The network reveals a core-periphery structure splitted into several communities. The Infomap algorithm identifies 14 single team-based communities and three communities formed by two teams. Two of the latter are composed of a top team and a mid-level team, suggesting the presence of collaboration and similar market behavior, while the third is guided by two teams promoted by the second division (Serie B).
ALK-Negative Inflammatory Myofibroblastic Tumor: A Challenging Case in a Premature Newborn
Authors: Regaieg C. , Triki M. , Cheikrouhou T. , Thabet A.B. , Charfi S. , Dhaou M.B. , Boudawara T. , Hamed A.B. , Hmida N.
Published: May 2023

Inflammatory myofibroblastic tumors (IMT) are rare borderline tumors with a variable histological appearance that may mimic multiple mesenchymal tumors. We present a rare case of a challenging abdominal mass discovered in a premature newborn. The histopathology showed a bland myofibroblastic proliferation associated with an inflammatory infiltrate that was positive for smooth muscle actin and desmin but negative for anaplastic lymphoma kinase (ALK) protein. The diagnosis of an ALK-negative IMT was established. The tumor was partially resected. After six months of follow-up, the residual tumor remained stable, and the patient was asymptomatic. The correct diagnosis and subsequent treatment of ALK-negative IMT require appropriate histopathological, immunohistochemical, and sometimes genetic examination. Further research has to be conducted to help clinicians make an appropriate treatment plan.
RFID-enabled localization system for mobile robot in the workshop
Authors: Ma Haishu , Ma Zongzheng , Li Lixia , Gao Ya
Published: May 2023

The development of RFID enabled intelligent localization system in the workshop is of great importance for reducing the operation cost, increasing production efficiency and improving management capabilities. From the aspects of feature extraction of RF fingerprint and localization algorithm, the scheme of mobile target tracking based on the fusion of inertial navigation and fingerprinting is explored. The deep neural network is used to establish the nonlinear relationship between fingerprint and coordinates. After the initial position of the mobile robot is obtained, Kalman filter is used to fuse the data collected by IMU and wheel encoder. Experimental results show that the proposed method is feasible and be able to track the mobile robot accurately.
A secure authentication protocol for healthcare service in IoT with Q-net based secret key generation
Authors: Mahajan Rupali , Chavan Smita , Ajalkar Deepika Amol , SV Balshetwar , Khadkikar Prajakta Ajay
Published: May 2023

The major intention of this research is to propose a secure authentication protocol for healthcare services in IoT based on a developed Q-Net-based secret key. Nine phases are included in the model. The sensor node, IoT device center, gateway node, and medical professional are the four entities involved in the key generation process. The designed model derived a mathematical model, which utilized hashing function, XOR, Chebyshev polynomial, passwords, encryption algorithm, secret keys, and other security operations for performing effective authentication. Here, the secret key is generated with the Deep Q-Net-based sub-key generation approach. The proposed method achieved the minimum computation time of 169xe9 ns, minimum memory usage is 71.38, and the obtained maximum detection rate is 0.957 for 64 key lengths. The secure authentication using the proposed method is accurate and improves the effectiveness of the system’s security.
Debriefing auf der Intensivstation – Methode, Implementierung, Benefit
Authors: Schönhuth Johann , Müller-Wolff Tilmann
Published: May 2023

Zusammenfassung Die Methode des Debriefings ist in Trainingssituationen von medizinischen Teams anerkannt. Die Methode wird zur kritischen Reflektion von Teamperformance, strukturierter Arbeitsweise und der Zusammenarbeit in der Patientenversorgung eingesetzt. In Trainings sind Debriefings gut etabliert und werden von Trainern und Lernenden regelmäßig eingesetzt, insbesondere auch in Trainings der medizinischen Simulation. Auf Intensivstationen sind kritische Situationen in der Patienten- versorgung häufig und von den Intensivteams regelmäßig zu bewältigen. Kritische Situationen treten auf durch patientenseitige, organisatorische oder kapazitätenbedingte erhöhte und akute Anforderungen an das Team. Die Methode des regelmäßigen Debriefings nach solchen kritischen Situationen ist in deutschen Intensivstationen noch nicht etabliert. Die Durchführung von Debriefings nach kritischen oder Akutsituationen kann dabei helfen, die unvermeidlich auftreten- den Situationen mit erhöhten Anforderungen strukturiert und lösungsorientiert zu betrachten und zu analysieren. Der Artikel stellt Bedingungen und Voraussetzungen dar, die eine Implemen- tierung von Debriefings ermöglichen sollen. Hieraus können verbesserte Handlungsmuster abge- leitet werden, die den Teams helfen, zukünftige Akutsituationen strukturierter und sicherer zu be- wältigen. Mit der Übertragung einer Debriefing-Methode aus dem Trainingssetting in die zeitweise auftretenden eher chaotischen Situationen der Intensivbehandlung soll die im Training eingeübte Methode den Teams helfen, Versorgungssicherheit in der Patientenbetreuung zu erhöhen. Schlüsselwörter Debriefing; Intensivstation; Patientensicherheit; Simulationstraining; Implementierung; kritische Situationen; Teamperformance
Criminal liability for illegal possession of cryptocurrency in Ukraine
Authors: Kozii Vasyl
Published: May 2023

This study investigated the criminal liability for illegal acquisition of cryptocurrency in Ukraine, which is relevant in connection with the considerable spread of cryptocurrencies and cases of their illegal acquisition, as a result of which significant material damage is caused to the victims. Specifically, this is explained by the collapse of cryptocurrency exchanges and hacker attacks on cryptocurrency wallets. The purpose of this study was to investigate what criminal liability is prescribed for illegal possession of cryptocurrency in Ukraine. The study employed a dialectical approach and methods of system and technical and legal analysis, as well as a formal and logical method. Approaches to understanding the term “cryptocurrency” were defined, and its types were specified. The features of the functioning of blockchain technology were covered. This paper analysed the legal regulation of virtual assets in Ukraine, their relationship with cryptocurrency. It is noted that at its core, cryptocurrency is not a virtual asset and that it is advisable to consider it an electronic asset based on the blockchain – a decentralized public register of all cryptocurrency transactions conducted on the network. Shortcomings in the legal regulation of cryptocurrencies in Ukraine were highlighted, specifically, it was noted that the signs of virtual assets do not fully coincide with the signs of cryptocurrencies. The most common ways of illegal possession of cryptocurrency were specified, and problematic issues of bringing individuals who have come into illegal possession of cryptocurrency to criminal responsibility were outlined. This paper substantiated the impossibility of bringing individuals who have come into illegal possession of cryptocurrency to criminal responsibility in Ukraine, considering the principle of legal certainty and avoiding analogy in criminal law. The necessity of criminalizing illegal possession of cryptocurrency was proved. Practical recommendations on making appropriate amendments to the Criminal Code of Ukraine were formulated. The theoretical value of this study lies in the formation of an approach to the need to criminalize the illegal possession of cryptocurrencies, and its results can be used in law-making activities.
Study On Waste Water Treatment Installation And Its Electricity Distribution
Authors: Salim Noor
Published: May 2023

Hospital wastewater is a source of pollutants for the environment that can have a negative impact. Hospital waste can contain various kinds of microorganisms depending on the type of hospital and the level of treatment carried out after the waste is disposed of. Therefore, it is necessary to conduct a study on Wastewater Treatment Plants so that the discharged wastewater meets the requirements of wastewater discharged from the hospital. From the results of this study it can be concluded that the initial process to the final process and after that it is necessary to check the quality of wastewater to determine the efficiency of treatment at least 2 times a year. The results of the Domestic WWTP engineering design are a capacity of 150 m3 per day, BOD of wastewater average 300 mg / l, SS concentration of 300 mg / l, total processing efficiency of 90-95%, BOD of treated water is 20 mg / l and SS treated water by 20 mg / l. Meanwhile, the distribution of electric power is in the form of MCB 1 phase 6 Amp - 220 Volt with a power of 1122 watts which is used to supply 1 unit of 250 watts of recycler pumps and 4 units of air / blower pumps of 800 watts or a total requirement of 1050 watts. Whereas for the MCB 3 phase 32 Amp - 380 Volt with a power of 17,902,478 watts, it is used to supply 10 units of the pump for collecting tubs of 3500 watts and 1 unit of wastewater pumps of 350 watts or a total requirement of 3,850 watts. It is recommended that the fat filter tub be transported every day so that grease and other impurities do not accumulate., The sewage pipe that is found to have leaks should be repaired immediately and there is a need for fish in the control tub which functions as a control medium as an indicator that the waste treatment process is going well.
Alat Bantu Pendeteksi Objek Untuk Tuna Netra Berbasis Ai Mobilenet Pada Raspberry Pi 3B
Authors: Ariyani Sofia , Nugroho Aji Brahma , Mubarok Ahmad Syarif Toyyib
Published: May 2023

Abstract - Over time, technology for disability aids is also growing rapidly around the world. One of the technologies that has a function like the eye is the camera. While in other technologies, now has been created a small PC / computer that can be used as a microcontroller, called a Mini PC modeled Raspberry Pi, but if only using these two tools simple object detection system becomes less complete because the system can only detect objects without knowing the distance, therefore, in order for the distance from an object to be read by the system, the HC SR04 sensor is used which is compatible with raspberry pi, to make this system also needed a data image processing system so that the system can detect objects, in this final task using a pre-trained model of mobilenet, mobilnet is one of the convolutional neural network (CNN) architectures that can be used to overcome the need for excessive computing resources. In this final task the system can detect as many as 80 objects, but in the system test used 5 objects with 50 types of variants, namely bottle objects, glass objects, book objects, people objects, and mobile phone objects, testing was conducted as much as 3 times from each variant of the object with 3 different distances as a determining factor of accuracy, namely distance 100cm, distance 150cm, and distance 200cm, From the results of object detection tests that have been done obtained the average percentage of object detection by 67%, the most accurate objects that can be read by the system at all distances are people's objects, while for other objects only read accurately at a distance of 100cm only.
Optimasi Battery Energy Storage System Dalam Mengatasi Renewable Energy Intermittency dan Load Leveling
Authors: Indriani Novi , Garniwa Iwa
Published: May 2023

Perkembangan pemanfaatan energi terbarukan di Indonesia saat ini tumbuh pesat, salah satunya adalah penggunaan Photovoltaic (PV). Namun masalah intermittency masih menjadi isu dari sisi pengoperasian PV. Untuk itu diperlukan adanya suatu storage system yang dapat mensuplai daya dengan cepat ketika PV tidak dapat beroperasi karena kondisi cuaca. Battery Energy Storage System (BESS) merupakan salah satu teknologi Energy Storage System yang dapat beroperasi dengan cepat untuk mensuplai kebutuhan listrik guna menjaga kehandalan sistem dan menstabilkan penggunaan listrik dari energi terbarukan, seperti panel surya dan turbin angin. Battery Energy Storage System (BESS) sebagai alternatif dari teknologi penyimpanan jangka pendek yang berfungsi untuk meningkatkan suplai daya pada saat beban puncak dan curtailment sistem PV serta jangka panjang sebagai penyimpanan energi pada sistem kelistrikan di Pulau Timor. Pada studi ini diusulkan model yang mengintegrasikan PV System dan BESS terhadap sistem kelistrikan Pulau Timor dimana saat ini kebutuhan listriknya disuplai dari Pembangkit Listrik Tenaga Uap (PLTU), Leasing Marine Vessel Power Plant (LMVPP), Pembangkit Listrik Tenaga Diesel (PLTD) dan Pembangkit Listrik Tenaga Surya (PLTS). Model ini digunakan untuk mengetahui dampak integrasi PV-BESS terhadap Biaya Pokok Produksi (BPP) sistem. Meskipun harga BESS ini masih relatif mahal namun diharapkan dengan penggunaan BESS ini dapat meningkatkan kehandalan sistem, meningkatkan bauran EBT dan mengurangi dampak lingkungan karena emisi. Simulasi dilakukan dengan membandingkan BPP sistem pada kondisi normal, kondisi intermitensi PV dan load leveling. Nilai BPP sistem dari hasil simulasi intermitensi PLTS dengan menggunakan BESS sebesar Rp 2.188,9/kWh dan simulasi Load leveling dengan BESS sebesar Rp. 2.174,11/kWh. BPP sistem untuk kedua simulasi tersebut masih lebih rendah jika dibandingkan dengan BPP sistem tanpa BESS yang berkisar Rp 2.202,01/kWh. Secara keekonomian BESS dapat menurunkan BPP sistem setempat.
Simulasi PMDC Menggunakan PID dengan Tuning Ziegler Nichols dan Algoritma Genetika
Authors: Ningtias Dieta Wahyu Asry , Syafrudi Syafrudi
Published: May 2023

Kecepatan motor DC Permanen Magnet (PMDC) dapat dikontrol menggunakan Proportional Integral Derivative (PID) kontroler. PID merupakan sebuah pengontrol yang paling banyak digunakan dalam bidang sistem kontrol di dunia industri yang dapat meningkatkan respon dinamik, mengurangi steady-state error, dan meningkatkan performa motor PMDC. Parameter aksi kontrol berupa KP, KI, dan KD dapat diperoleh melalui tuning. Tuning Ziegler Nichols dipilih karena rising time yang cepat dan steady-state error yang kecil. Sedangkan tuning Algoritma Genetika dipilih karena menciptakan KP, KI, dan KD terbaik secara otomatis. Metode penelitian yang digunakan adalah metode penelitian eksperimen dengan membandingkan performa antara tuning Ziegler Nichols dan Algoritma Genetika. Parameter performa motor PMDC berupa overshoot, rise time, settling time, dan steady-state error. Kontrol terbaik dari tuning Ziegler Nichols adalah PID dengan nilai KP = 1,2; KI = 6,108424536; dan KD = 0,058935 yang menghasilkan respon kecepatan dengan nilai overshoot 9,25%; rise time 0,04 detik; settling time 0,9 detik; dan steady-state error 0,008%. Sedangkan kontrol terbaik dari tuning Algoritma Genetika adalah PID dengan nilai KP = 0,426; KI = 4,468; dan KD = 0 yang menghasilkan respon kecepatan dengan nilai overshoot 0%; rise time 0,4 detik; settling time 0,4 detik; dan steady-state error 0,00016%. Sehingga kontrol terbaik adalah kontrol PID dengan metode tuning Algoritma Genetika.
Implementasi Algoritma Naïve Bayes dan Support Vector Machine (SVM) Pada Klasifikasi Penyakit Kardiovaskular
Authors: Desiani Anita , Akbar Muhammad , Irmeilyana Irmeilyana , Amran Ali
Published: May 2023

Penyakit kardiovaskuler adalah penyakit yang diakibatkan penyempitan atau penyumbatan pembuluh darah di jantung penyakit ini disebabkan gangguan fungsi jantung dan pembuluh darah. Sistem kardiovaskular terdiri dari jantung dan pembuluh darahnya. Penelitian ini bertujuan melakukan klasifikasi penyakit kardiovaskular untuk memprediksi suatu pola. Pada penelitian ini akan menggunakan metode support vector machine dan naïve bayes dengan metode latih percentage split dan k-fold cross validation. Hasil akurasi pengolahan menggunakan Algoritma Naïve Bayes adalah sebesar 70% untuk metode latih percentage split dan 71% untuk metode latih k-fold cross validation. Kemudian dengan menggunakan algoritma support vector machine didapat akurasi 61% untuk metode latih percentage split dan 65% untuk metode latih k-fold validation. Hasil tersebut menunjukkan bahwa algoritma naïve bayes dengan metode latih k-fold validation cukup baik dalam melakukan klasifikasi penyakit kardiovaskular.
Implementasi Data Mining Clustering Data Penduduk Miskin Menggunakan Metode Algoritma C4.5 Untuk Merekomendasikan Bantuan Sosial Pada RT. 05/01 Kelurahan Jati Mekar Kecamatan Jati Asih Kota Bekasi
Authors: Lestari Sri , Agustiansyah Sony
Published: May 2023

Kemiskinan merupakan persoalan dua dimensi yang berkaitan dengan ketidakmampuan individu secara finansial, budaya sosial, politik dan pergaulan sosial. Untuk mengatasi kemiskinan, otoritas publik melakukan berbagai cara dengan menyelenggarakan program bantuan seperti program keluarga harapan (PKH). Program keluarga harapan (PKH) merupakan program kesejahteraan sosial bersyarat pemerintah yang diperuntukkan kepada masyarakat kurang mampu yang telah terdaftar dalam kumpulan informasi tersusun yang memenuhi syarat dan kriteria. Pada penelitian ini dilakukan kualifikasi data mining memakai perhitungan C4.5 untuk menentukan kelayakan penerima bantuan program keluarga harapan (PKH). Tindakan dalam penelitian ini adalah pengumpulan informasi yang didapat dari kepala RT. 05/01 Kelurahan Jatimekar Bekasi. selanjutnya penentuan informasi yaitu dengan kriteria jumlah anak usia dini, ibu hamil, siswa sekolah dasar, siswa sekolah menengah pertama, siswa sekolah menengah atas, pekerjaan, lansia, cacat berat, status tempat tinggal, jenis dinding terluas, terima raskin, fasilitas toilet, tempat pembuangan sampah dengan kriteria layak dan kriteria tidak layak. Setelah penentuan informasi maka dilakukan pra-pemrosesan informasi sebanyak 2.244 catatan informasi yang mecakup pengecekan informasi kosong, informasi ganda dan kesalahan penulisan. selanjutnya transformasi untuk memudahkan pengolahan informasi. Selanjutnya proses data mining dengan perhitungan C4.5 hingga terbentuknya pohon keputusan. Pengujian memakai confusion matrix menghasilkan ketepatan senilai 86,37% dengan pembandingan 90% informasi latih dan 10% informasi uji. Berdasarkan hasil pengujian tersebut perhitungan C4.5 termasuk pada tingkat Klasifikasi Bagus.
Klasifikasi Citra Burung Jalak Bali dengan Menggunakan Algoritma K-Nearest Neighbor (KNN)
Authors: Mulyana Dadang Iskandar , Zuhari Ahmad Bustomi , Yel Mesra Betty
Published: May 2023

Jalak Bali (Leucopsar rothschildi) juga dikenal sebagai Rothschild's mynah, Bali starling, atau Bali mynah merupakan burung endemik bali dan penyebarannya hanya terdapat di Taman Nasional Bali Barat, Keunikan dan keindahan bulunya serta suaranya yang berkicau membuat Jalak Bali diminati banyak orang. Banyaknya jenis burung jalak yang ada terkadang masih sulit untuk diidentifikasi atau dikenali oleh manusia. maka perlu dilakukan penelitian dan pengembangan dengan menggunakan Algoritma K-Nearest Neighbors (KNN) untuk memudahkan manusia dalam mengidentifikasi burung jalak bali. Objek yang digunakan dalam penelitian ini adalah burung jalak bali dan burung jalak nias yang menunjukkan perbedaan  signifikan pada motif dan warna. Ekstraksi ciri RGB digunakan untuk mendapatkan ciri pada citra warna, kemudian diklasifikasikan menggunakan algoritma K-Nearest Neighbors. Citra yang digunakan untuk data latih sebanyak 2000 citra, dan untuk data uji sebanyak 400 untuk 2 jenis citra. Hasil nilai evaluasi menunjukkan nilai akurasi pelatihan sebesar 98,95% dan untuk nilai akurasi pengujian adalah 98.50% pada algoritma K-Nearest Neighbors.
Best Practice: Profil Pelajar Pancasila in English Teaching of SMAN 2 Pare
Authors: Indriana Sisilia Candra Hadi
Published: May 2023

The introduction of a new curriculum, known as the Merdeka curriculum, has fundamentally altered various vital aspects, including character education. Merdeka curriculum provides Indonesian character education with a new paradigm, Profil Pelajar Pancasila. However, it can be challenging for English teachers to include activities based on the Pancasila ideals and the foreign culture in their lessons. The study portrays how English teachers of SMAN 2 Pare plan, carry out, and evaluate Profil Pelajar Pancasila in teaching activities. This descriptive qualitative study collected data from three English teachers of SMAN 2 Pare through interviews, classroom cobservations, and document analysis. The findings showed that the teachers conducted the application of Profil Pelajar Pancasila in teaching in three steps: planning, classroom practice, and assessment. Various learning activities and forms of tasks were synced with the profile elements in targeted materials. For the assessment, the teachers used self-designed rubric to regularly observe the students’ engagement in Profil Pelajar Pancasila before releasing the numerical and descriptive report. Although facing difficulties to implement values of morals to nation and global diversity, the teachers could familiarize the pupils with the foreign culture while ensuring they maintained their identity as Pancasila students. Furthermore, the result helps English teachers acquire practical advice regarding using Profil Pelajar Pancasila in foreign language teaching.
A liberális világrend napirendalkotói: az Európai Unió és az Egyesült Államok kapcsolatai
Authors: Rada Péter
Published: May 2023

Az Európai Unió (EU) és az Amerikai Egyesült Államok kapcsolata nem egyenlő az európai–amerikai kapcsolatokkal. Az utóbbi jóval bővebb, és tradicionálisan hangsúlyos védelmi együttműködési és biztonsági eleme van. A tanulmány célja, hogy körüljárja azokat az ügyeket, amelyek a két fél kapcsolatainak napirendjén vannak, és a legfontosabb, trendeket meghatározó kérdésterületek alapján csoportosítva adjon logikát az EU és az Egyesült Államok kapcsolatai elemzésének. Ha leszűkítjük a kérdésterületet, akkor a napirenden lévő ügyek alapján a kapcsolatokat három nagyobb dimenzióba sorolhatjuk. Ezek egymással is átfedést mutatnak, és egyes ügyek nem egyértelműen tartoznak kizárólagosan csak egy csoportba. Ezek a kérdéscsoportok: a biztonsági jellegű kérdések; a gazdasági kapcsolatok; illetve azok a globálisan jelen lévő ügyek, amelyekben a két fél kölcsönösen egymásra van utalva. A napirend leíró bemutatása azért érdekes, mert az EU és az Egyesült Államok a liberális világrend legbefolyásosabb szereplői és annak alakítói.
Alkustratégiák az Európai Tanácsban
Authors: Kalas Vivien
Published: May 2023

Az Európai Unió hosszú távú jövőjével kapcsolatos legfontosabb döntések az Európai Tanácsban (EiT) születnek. Az állam- és kormányfők határozzák meg az új politikai irányvonalakat és döntenek a szerződésmódosításról. Az EiT döntéshozatali folyamatáról mégis nagyon keveset tudunk, így arról is, hogy a tagországok milyen módon igyekeznek érdekeiket érvényre juttatni a tárgyalások során. Jelen tanulmány azokat az alkustratégiákat tárja fel, amelyeket az államok visszatérően alkalmaznak az Európai Tanács ülésein, illetve a kormányközi konferenciákon.