bluuebunny/crossref_metadata_2025_split huggingface dataset:
Approaches to Diagnostic Automation for Mental Health in Operators of Certain Occupations
Authors: Корнетов А.Н. , Старикова Е.Г. , Каверина И.С. , Стариков Ю.В. , Солдатов А.А. , Потапова Н.Е. , Толмачев И.В. 
Published: February 2023

Ошибки в работе операторов некоторых профессий (пилоты, водители, работники технических объектов) могут привести к человеческим жертвам, техногенным катастрофам. Внимание, скорость реакции, сосредоточенность на выполнении служебных обязанностей напрямую зависят от соматического и психического здоровья операторов. Контроль состояния здоровья лиц, чья профессиональная деятельность связана с безопасностью большого количества людей, проводится как ежегодно, так и непосредственно перед работой (предрейсовые и предвахтовые осмотры). Для диагностики психического здоровья традиционно используются следующие методы: общение с пациентом, заполнение опросников, психологическое тестирование. При этом анализ смертельных авиаинцидентов показывает, что психические отклонения не всегда корректно определяются с помощью традиционных методов. В частности, человек может скрывать проблемы с психическим здоровьем из-за опасений потери карьерных возможностей и перспектив. Ведущими проблемами операторов, как и в общей популяции, являются депрессия и тревога. В связи с этим представляется перспективной разработка аппаратно-программного комплекса ранней диагностики этих и других психических расстройств. В настоящее время разработаны методы анализа аудио- и видеоинформации, основанные на алгоритмах искусственного интеллекта и позволяющие объективно оценивать психическое здоровье человека по речи и экспрессии эмоций.
Operators’ errors in some occupations (i.e. pilots, drivers, technical facility workers) can lead to human and technogenic disasters. Attention, reaction rate, concentration on performing work duties directly depend on operators’ somatic and mental health. Health control of persons, whose professional activities are associated with safety of a large number of persons, is carried out both annually and immediately before starting work ("pre-trip" and "pre-duty" check-ups). The following methods are conventionally used to diagnose mental health: communicating with the patient, questionnaires, and psychological testing. At the same time, fatal air accidents analysis suggests that mental deviations are not always correctly identified using traditional methods. In particular, a person may hide mental health problems for fear of losing career opportunities and prospects. The leading problems in operators, as well as in the general population, are depression and anxiety. In this connection, the elaboration of a hardware and software complex for early diagnostics of these and other mental disorders seems promising. Nowadays, methods of audio and video information analysis based on artificial intelligence algorithms have been developed, allowing an objective assessment of individual’s mental health by speech and emotional expression.
Tejido y texto: actualidad de un entramado de relaciones
Authors: Avalos Itzel Casillas 
Published: February 2023

En este texto se abordan las complejas relaciones entre texto y el tejido, que ha rebasado claramente la alusión etimológica, para abrir todo un campo de reflexión desde el á´mbito educativo y pedag´ógico. A partir del contexto de la pandemia por COVID-19, se lleva a cabo la identificación de modos en que principalmente se ha expresado en espacios museísticos mexicanos este entramado y cómo el interés por lo textil ha evidenciado cuatro ejes de abordaje: La relación texto/tejido desde lo etimológico, Tejer/bordar historias y las historias del tejido/bordado, El tejido y el bordado en relación con el género, La enseñanza y la transmisión de las actividades textiles.
Conservación ecológica: caso Los Pantanos de Villa
Authors: Tafur Anzualdo Vicenta Irene 
Published: February 2023

Desde el enfoque de la Economía Ambiental, se analiza la relación existente entre la sociedad y el entorno natural que constituye el soporte de la vida y de las actividades económicas. Se examina el concepto de desarrollo sostenible y se enfatiza en el mal uso de los recursos y en la generación de desperdicios difíciles de controlar que caracteriza la situación actual del crecimiento económico en el Perú. En este contexto, el análisis se centra en la problemática que reduce y deteriora las características y funciones de la Zona Reservada de Refugio de Vida Silvestre “Los Pantanos de Villa” para extraer lecciones de cómo enfrentar la conservación ecológica en el proceso de desarrollo de la nación.
El legado de Paulo Freire. Redimensiones en época de crisis.
Authors: Llanos Zuloaga Martha 
Published: February 2023

Esta publicación es un tributo al legado de Paulo Freire, educador brasilero y referente mundial en el campo de la Educación liberadora, con propuestas en el contexto de un énfasis en el pensamiento crítico, inclusivo, con la reflexión acción, el uso de la pregunta y el diálogo esenciales para un desarrollo de autonomía, de democracia y ciudadanía.
Freire principalmente identificado por la educación de adultos, lo conocimos en Perú por su aporte a la alfabetización en la Reforma Educativa peruana, posteriormente compartimos en Nicaragua en donde fui solicitada por la Unicef para desarrollar los Centros de educación infantil no escolarizados CEPNES.
Estando próxima la celebración del 91 aniversario del primer jardín de infantes en el Perú y 50 aniversario de la oficialización de la Educación Inicial en el Perú, presento la visión de Paulo Freire para la educación infantil, priorizando la comprensión y escucha de las voces de la niñez. Especialmente en esta crisis mundial por la Pandemia COVID 19 redimensiono las propuestas de la Educación Comunitaria y Popular fundamentadas en el aporte de Paulo Freire y las implicancias en las interacciones con la comunidad y las perspectivas de formación docente.
Los temas arriba mencionados son en la actualidad de urgente reflexión, la crisis del sistema educativo, las realidades del contexto nacional implican la búsqueda de respuestas a la gran pregunta ¿qué es la educación? qué rol juega, que visión tenemos que se enseña para que sirve cuanto conocemos nuestra realidad.
Diseño y validación de un cuestionario para evaluar la competencia emocional
Authors: Arias Sáciga July Mirtha 
Published: February 2023

El presente artículo tiene como objetivo presentar el proceso de diseño y validación de un cuestionario que recoge información del nivel de logro de la competencia emocional en niños, a partir de un análisis cualitativo y cuantitativo. Se presenta, la construcción, validez y confiabilidad del Cuestionario de autovaloración de la Competencia Emocional para niños que evalúa cinco dimensiones: Conciencia emocional, regulación emocional, autonomía emocional, habilidades socioemocionales, y habilidades de vida y bienestar. La construcción del instrumento ha considerado los siguientes procesos: Definición conceptual y operacional del constructo, elaboración de los ítems, análisis de la validez de contenido mediante juicio de expertos, análisis de confiabilidad del instrumento. Los resultados muestran evidencias satisfactorias con relación a la validez de contenido y confiabilidad, lo que convierte en una herramienta valiosa para ser utilizado por diversos investigadores.
Editorial
Authors: Aguirre Chávez Felipe 
Published: February 2023

Los contextos históricos sociales tienen por sí rostros genuinos e irrepetibles y, por eso, cada generación, cada ser humano ubicado en su época y situación ha enfrentado sus propios problemas y sueños.
El contexto de pandemia, desde una mirada optimista, además de sus días negros, nos ha traído luces; detrás de sus gigantescas dificultades, aparentemente insalvables, también nos ha regalado perspectivas; ha reconfigurado nuestra forma de ver la vida y nuestros planes y también ha fortalecido nuestra fe en ese amor reconfortante y salvador que nuestra comunidad universitaria expresa en su lema institucional Super petram aedificabo, es decir, mientras se construya la casa sobre la roca de un Dios vivo y amoroso, toda aspiración humana positiva será sólida ante cualquier día negro y turbulento.
Nuestra Revista EDUCA UMCH, adherida a la iniciativa de Budapest para el acceso abierto, publicado en el 2002, asume el acceso abierto, sin restricciones a su contenido bajo el principio de que el trabajo colaborativo contribuye al intercambio global y producción del conocimiento al servicio del desarrollo de todos.
Faktor Risiko Kejadian Anemia pada Ibu Hamil di BPM Bunda Helena Bukit Cimanggu Kota Bogor
Authors: Lestari Fitria , Zakiah Lela , Ramadani Fikria Nur 
Published: February 2023

Anemia dalam kehamilan merupakan permasalahan klasik yang tidak pernah terselesaikan, terutama di negara berkembang. Kebutuhan zat besi saat hamil lebih besar dibandingkan kondisi tidak hamil. Zat besi perlu ditingkatkan saat kehamilan untuk memenuhi kebutuhan janin dan sebagai persiapan proses persalinan. Secara global, diperkirakan lebih dari 5% populasi di dunia mengalami anemia dan 56% nya terjadi di negara berkembang, sedangkan di indonesia prevalensi anemia sebesar 42%. Penelitian ini dilakukan untuk mengetahui Faktor Risiko yang berhubungan dengan kejadian anemia pada ibu hamil. Penelitian ini menggunakan metode penelitian kuantitatif dengan pendekatan cross sectional dengan jumlah sampel 105 orang Ibu Hamil. Penelitian dilakukan di BPM Bunda Helena Jalan Bukit Cimanggu Kota Bogor Tahun 2022. Hasil analisis data didapatkan faktor sosioekonomi sangat mempengaruhi angka kejadian pada ibu hamil.
Hubungan Pengetahuan Dengan Praktik Pencegahan dan Pengendalian Infeksi Dalam Pemberian Pelayanan Kebidanan Masa Pandemi Covid-19 Pada Praktik Mandiri Bidan
Authors: Sulistyorini Etik , Palupi Fitria Hayu 
Published: February 2023

Latar Belakang: Pemerintah mewajibkan semua fasilitas kesehatan untuk menerapkan upaya pengendalian dan pencegahan infeksi. Penerapan pengendalian dan pencegahan infeksi di fasilitas Kesehatan tingkat pertama dan di praktik mandiri bidan sangat strategis karena terkait erat dengan pencegahan penyakit infeksi yang bersumber dari masyarakat.Tujuan: Untuk mengetahui hubungan pengetahuan dengan praktik pencegahan dan pengendalian infeksi dalam pelayanan kebidanan masa pandemi Covid-19 pada praktik mandiri bidan.Metode: Penelitian ini merupakan penelitian Descriptive Correlative dengan metode pendekatan Cross Sectional. Populasi penelitian ini seluruh Praktik Mandiri Bidan yang ada diwilayah Kabupaten Sukoharjo pada tahun 2021 sebanyak 101. Sampel diambil secara Accidental Sampling, dan diperoleh sejumlah 32 responden.Hasil: Karakteristik responden mayoritas berusia 41-50 tahun (53,1%), mayoritas berpendidikan DIV/S1 Kebidanan (50%), dan mayoritas lama menyelenggarakan praktik mandiri bidan > 10 tahun (68,8%). Pengetahuan tentang pengendalian dan pencegahan infeksi mayoritas baik (71,9%), Praktik pengendalian dan pencegahan infeksi mayoritas cukup (87,5%). Hasil Analisa bivariat tidak ada hubungan antara pengetahuan dengan praktik pengendalian dan pencegahan infeksi pada praktik mandiri bidan dengan nilai signifikansi 0,314 dimana lebih besar dari nilai p value 0,05.Kesimpulan: Tidak ada hubungan antara pengetahuan Bidan tentang pengendalian dan pencegahan infeksi dengan praktik pengendalian dan pencegahan infeksi pada praktik mandiri bidan. Kata Kunci: Pengetahuan, Praktik, Pencegahan Infeksi, Bidan
INTERVENSI MINDFULLNESS SPIRITUAL ISLAM UAPAYA PENURUNAN KECEMASAN PADA LANSIA HIPERTENSI ERA NEW NORMAL COVID 19 DI DESA BANGUNREJO NGAWI
Authors: Herfita Kusnul Efa , Maryatun Maryatun , Hidayah Alfina 
Published: February 2023

Pasca pandemic covid 19 tetap membutuhkan upaya pencegahan terhadap penyebaran virus dengan menerapkan protocol kesehatan. Akan tetapi melihat fenomena di masyarakat pedesaan akan sangat berbeda. Masyarakat mempersepsikan pandemic covid 19 telah hilang sehingga perilaku masyarakat di pedesaan sebagian besar tidak melakukan protocol kesehatan dalam aktivitas sehari hari. Hal ini tentunya akan sangat beresiko kepada bayi atau lansia yang mempunyai kormobid penyakit yang mempunyai daya imunitas rendah.Lansia hipertensi sebagian besar akan mengalami masalah psikologis yaitu kecemasan yang membutuhkan pengobatan lama. Pada penelitian ini bertujuan menerapkan intervensi Mindfulness Spiritual Islam dalam menurunkan kecemasan pada lansia dengan hipertensi Penelitian dilakukan untuk mengetahui pengaruh intervensi Mindfulness Spiritual Islam terhadap penurunan kecemasan pada lansia hipertensi pasca pandemic covid-19. Metode yang digunakan dalam penelitian yaitu metode kuantitatif Quasy eksperiment dan menggunakan rancangan Pretest-Posttest Without Control. Jumlah sampel 30 orang. Penelitian dilakukan di daerah pedesaan Bangunrejo Ngawi. Kuesioner yang digunakan untuk pengumpulan data kecemasan yaitu DASS atau Despression Anxiety Stress Scale. Analisa data dilakukan dengan cara uji Paired t-test. Hasil penelitian yaitu Ada pengaruh yang signifikan pada intervensi Spiritual Islam pada penurunan kecemasan pada lansia hipertensi.
Performance improvement of a Ag-ion controlled molecular-gap atomic switch by reducing a switching area for applying to a deep learning system
Authors: Tanimoto Naonari , Hasegawa Tsuyoshi 
Published: February 2023

Abstract
In today’s advanced information society, hardware-based neuromorphic systems attract much attention for achieving more efficient information processing. Hardware-based neuromorphic systems need devices that change their resistance in an analog manner like biological synapses. A molecular-gap atomic switch exhibits analog resistance change over a wider range compared to other non-volatile memory devices. However, several issues remain with the device, such as in cyclic endurance and retention. In this study, we fabricated a molecular-gap atomic switch with a reduced switching area. We expected that the reduction would limit the number of Ag+ cations that contribute to a switching phenomenon and solve the remaining issues. The fabricated devices endured 1000 switching cycles and exhibited stable analog resistance change. Deep learning was successfully demonstrated using 293 fabricated devices as synapses, which resulted in the accuracy of 93.65% in 26th epoch in a 5 × 5 pixel image classification task.
Characteristics of c-axis oriented GeAlN films and applications to higher-order mode BAW resonators
Authors: Suzuki Masashi , Sekimoto Jun , Kakio Shoji 
Published: February 2023

Abstract
AlN film bulk acoustic wave (BAW) resonators and filters that operate at frequencies above 5 GHz are required for 5G and beyond 5G communication applications. However, the power-handling capability, Q factor, and electromechanical coupling in high-frequency AlN film BAW resonators will be degraded as a result of the significantly reduced thickness and volume of the devices. Higher-order mode BAW resonators with polarity inverted (PI) multilayered films can operate at high frequencies while maintaining the thickness and volume of the devices. In this study, we fabricated an eight-layered PI GeAlN/AlN film BAW resonator by alternately growing Al-polar AlN layers and N-polar GeAlN layers. The PI GeAlN/AlN film BAW resonator resonated in the 8th-order mode. The film thickness of the PI GeAlN/AlN film BAW resonator was approximately thirteen times larger than that of a single-layer AlN film BAW resonator operating in the same frequency range.
A high-efficiency, reliable multilevel hardware-accelerated annealer with in-memory spin coupling and complementary read algorithm
Authors: Wang Yun-Yuan , Lin Yu-Hsuan , Lee Dai-Ying , Lu Cheng-Hsien , Wei Ming-Liang , Tseng Po-Hao , Lee Ming-Hsiu , Hsieh Kuang-Yeu , Wang Keh-Chung , Lu Chih-Yuan 
Published: February 2023

Abstract
We proposed an in-memory spin coupler based on the 55 nm NOR flash technology to tackle the combinatorial optimization problems. The high-density and cost-effective floating-gate (FG) devices can overcome the capacity limitation in the conventional annealing machines based on static random access memory. In addition, the FG devices featuring high endurance and excellent data retention provide more robust annealing computation as compared to resistive random access memory. A novel complementary read algorithm is further developed to increase the tolerance on threshold voltage (V
th) variation by 60%. Demonstrations show that the proposed in-memory spin coupling architecture with high efficiency and scalability has great potential for solving the combinatorial optimizations regardless of the problem size.
Improvement of extinction in optically-controlled silicon thermo-optic switch based on micro-ring resonator with distinct probe signal
Authors: Liang Zhu , Liu Shuyuan , Shoji Yuya 
Published: February 2023

Abstract
Herein, an optically-controlled thermo-optic switch based on a micro-ring resonator is proposed and demonstrated. The latter converts pump light to heat using a metal layer close to the waveguides to generate a phase shift based on the thermo-optic effect, thereby realizing the switching operation. By using the probe and pump lights of the transverse electric and transverse magnetic modes, respectively, optical absorption is properly designed and an extinction ratio higher than that reported in the previous study is achieved. Further, 10%–90% switching times are measured to be 0.71 μs and 2.66 μs for the rising time and cooling time of temporal response, respectively. The burst-switching measurements reveal an on/off switching ratio of 7.3 dB at the through-port and 7.2 dB at the drop port, with a pump power of 16.8 mW.
Estimation of the effective irradiance and bifacial gain for PV arrays using the maximum power current
Authors: Abe Caio Felippe , Dias João Batista , Notton Gilles , Faggianelli Ghjuvan Antone , Pigelet Guillaume , Ouvrard David 
Published: February 2023

<p>Manuscript Version 3 - accepted by the IEEE Journal of Photovoltaics. </p>
<p><br></p>
<p>The final version is available at https://doi.org/10.1109/JPHOTOV.2023.3242117</p>
<p><br></p>
<p>Abstract: Bifacial photovoltaic modules are able to convert the solar radiation reaching their front and rear-sides, which means that more electricity can be produced using the same array area as monofacial modules with similar ratings. In some locations, the cost per power unit for such a technology has already become cost-competitive with conventional monofacial modules. The so-called effective irradiance and the bifacial gain are useful metrics, respectively, to assess the solar resource and the performance of bifacial arrays. To calculate the effective irradiance, studies previously published employ rear-side irradiance measurements, whereas to compute the bifacial gain, other works make use of monofacial modules with rating similar to those of the bifacial modules under analysis. In this paper, a straightforward method is presented, allowing to calculate the effective irradiance from the maximum power current, and to calculate the bifacial gain using a power scaling relation. The proposed method was experimentally tested using an outdoor platform with a dual-axis tracking system with bifacial modules. The effective irradiance calculated using the novel method presented nRMSE of 2.88 %, relative to the results obtained using the consolidated method. The bifacial gains obtained were 6.24 % and 6.69 %, respectively, using the proposed and traditional calculation methods. The procedure presented in this study might be useful for the quantification of the effective irradiance and the bifacial gain for PV installations which do not have extensive monitoring hardware. </p>
Full-pose Trajectory Tracking of Overactuated Multi-Rotor Aerial Vehicles with Limited Actuation Abilities
Authors: Hamandi Mahmoud , Al-Ali Ismail , seneviratne lakmal , Franchi Antonio , Zweiri Yahya 
Published: February 2023

<p>This paper presents a novel optimization-based full-pose trajectory tracking method to control overactuated multi-rotor aerial vehicles with limited actuation abilities. </p>
<p>The proposed method allocates feasible control inputs to track a reference trajectory, while ensuring the tracking of the reference position, and while tracking the closest feasible attitude.</p>
<p>The optimization simultaneously searches for a feasible trajectory and corresponding feasible control inputs from the infinite possible solutions, while ensuring smooth control inputs. The proposed real-time algorithm is tested in extensive simulation on multiple platforms with fixed and actuated propellers. The simulation experiments show the ability of the proposed approach to exploit the complex set of feasible forces and moments of overactuated platforms while allocating smooth feasible control inputs.</p>
Relative Learning Rate Adaptation on Loss Feedback
Authors: BISWAS SAPTARSHI , DEY SUMAGNA 
Published: February 2023

<p>In the realm of Deep Learning (DL), optimization of hyperparameters like learning rate has been one of the well-known challenges. To address this problem, previous works have introduced Learning Rate Scheduling (LRS) and Adaptive Learning Rate (ALR) algorithms that used different learning rates at distinct phases of the training process to enhance the performance of DL models. But, these algorithms exhibit their own set of drawbacks. Most of the LRS techniques do not consider the learning behavior of those models while determining the learning rate. On the other hand, standard ALR algorithms such as RMSprop, Adam, and their variants optimize the training by consid- ering the local gradient patterns. However, these patterns are insufficient to determine the training efficiency when multiple local optima exist concentrated around the global optima. In this context, the proposed work introduces a new ALR method known as the Learning Rate Tuner with Relative Adaptation (LRT-RA), which decides the learning rate per training iteration based on the global loss curve. Lastly, the proposed algorithm (1) prevents a premature convergence of the training process and (2) intends to remove the cross-validation overhead to determine the precise learning rates required for the model’s training. </p>
Artificial neural network based optimal feedforward torque control of electrically excited synchronous machines
Authors: Monzen Niklas , Hackl Christoph 
Published: February 2023

<p>An Artificial Neural Network (ANN) based Optimal Feedforward Torque Control (OFTC) strategy for electrically excited synchronous machines (EESMs) is proposed. After design, data set creation, training and validation of the ANN, the analytical computation of the optimal stator and exciter currents is achieved which allows to minimize copper and iron losses and to produce the desired (or maximally feasible) machine torque. Voltage and currents constraints of stator and exciter are considered as well. In contrast to conventional OFTC, the proposed ANN-based OFTC strategy does not require iterations nor a decision tree to find the optimal current triple while machine nonlinearities, magnetic cross-coupling, saturation and speed-dependent iron losses are taken into account. In addition, the proposed ANN design procedure allows to consider <em>measurable </em>OFTC goals and computational resources that ensures a real-time capable implementation. Comprehensive simulation results for a real and nonlinear EESM clearly show these benefits by comparing the proposed ANN-based OFTC with results of a nonlinear optimization problem (NLP) solver (which cannot be used in real-time). </p>