bluuebunny/crossref_metadata_2025 huggingface dataset:
Investigating the Effectiveness of Modifying the Parent-Child Interaction Pattern Based on Filial Play Therapy on Internet Addiction, Sleep Quality, and Self-efficacy in 9-12-Year-Old Children
Authors: Danesh Fereshteh , Mohammadi Masoud , Naziri Ghasem , Fath Najmeh
Published: January 2024

Background: Despite all the positive features of the internet, the risk of addiction threatens users. Sleep disorders and the negative effects on self-efficacy are important risks of this technology. Accordingly, the present study aimed to investigate the effectiveness of modifying the parent-child interaction pattern based on play therapy (filial therapy) on internet addiction, sleep quality, and self-efficacy in 9-12-year-old children. Methods: This quasi-experimental study was conducted using a pre-test-post-test design with a control group. The statistical population of the study consisted of all 3617 boys and girls aged 9-12 years studying in selected schools in Kerman, Iran (12 elementary schools) in the academic year 2020-2021. A total of 72 students were randomly selected from among the children who met the benchmark score of internet addiction and were not under medical and psychological treatment. The participants were divided into two experimental and control groups (36 students each). A demographic information questionnaire, the Internet Addiction Scale (YIAS), the Self-Efficacy Questionnaire for Children (SEQ-C), and the Pittsburgh Sleep Quality Index (PSQI) were used to collect data. Data were analyzed using SPSS software. Findings: The mean scores of internet addiction in the pre-test and post-test were 86.67 and 86.23 in the control group and 88.14 and 75.14 in the experimental group, respectively, which showed a decrease in internet addiction. The scores of sleep quality in the pre-test and post-test were 1.81 and 1.78 in the control group and 1.75 and 0.5 in the experimental group, respectively. Moreover, the overall scores of self-efficacy in the pre-test and post-test were 63.64 and 63.94 in the control group and 62.08 and 81.75 in the experimental group, respectively. The results indicated an improvement in the overall quality of sleep and selfefficacy. Conclusion: The results showed that the severity of internet addiction in children decreased after the treatment based on modifying the parent-child interaction, and this treatment was also effective on self-efficacy and sleep disorders.
Effects of Nicotine Administration in an Enriched Environment on the Behavior of Male MK-801-Exposed Rats
Authors: Salmani Neda , Darvishzadeh Mahani Fatemeh , Parvan Mahdieh , Nozari Masoumeh
Published: January 2024

Background: Smoking is more common in patients with schizophrenia than in healthy populations. Some controversial hypotheses connect the disease with the high prevalence of smoking. Moreover, environmental factors affect the severity of the positive and negative symptoms of schizophrenia. The current study aimed to assess the effect of enriched environment (EE) and nicotine on the MK-801 animal model of schizophrenia. Methods: Male Wistar rat pups randomly received saline or MK-801 (dose:1 mg/kg) for five days from the sixth postnatal day (P) until the tenth. The pups were placed in EE or standard cages (SCs) after weaning (P21). Morris water maze (MWM) was used to assess spatial learning and memory. The rats received 0.6 mg/kg nicotine twice for three days at the end of the second month and were examined in an open-field box and three-chamber social interaction test. Findings: MK-801 rats’ behaviors were the same as those of the saline rats when they were exposed to nicotine. No positive effects of EE were observed when the animals were exposed to nicotine. Conclusion: The results suggested that nicotine decreased schizophrenia-like symptoms and covered the positive effects of EE.
Comparative and Predictive Analysis of Clinical and Metabolic Features of Anorexia Nervosa and Bulimia Nervosa
Authors: Dönmez Reyhan Betül , Demirel Tuğba Nur , Bilgin Cem , Tarhan Nevzat , Örkçü Özden , Ceylan Zeynep , Guleken Zozan
Published: January 2024

Background: Eating disorders have become increasingly prevalent over the years; the age at which they appear has decreased, and they can lead to serious illness or death. Therefore, the number of studies on the matter has increased. Eating disorders like anorexia nervosa (AN) and bulimia nervosa (BN) are affected by many factors including mental illnesses that can have serious physical and psychological consequences. Accordingly, the present study aimed to compare the clinical and metabolic features of patients with AN and BN and identify potential biomarkers for distinguishing between the two disorders. Methods: Clinical data of 41 participants who sought treatment for eating disorders between 2012 and 2022, including 29 AN patients and 12 BN patients, were obtained from NPIstanbul Brain Hospital in Istanbul, Turkey. The study included the clinical variables of both outpatient and inpatient treatments. Principal component analysis (PCA) was utilized to gain insights into differentiating AN and BN patients based on clinical characteristics, while machine learning techniques were applied to identify eating disorders. Findings: The study found that thyroid hormone levels in patients with AN and BN were influenced by non-thyroidal illness syndrome (NTIS), which could be attributed to various factors, including psychiatric disorders, substance abuse, and medication use. Lipid profile comparisons revealed higher triglyceride levels in the BN group (P<0.05), indicating increased triglyceride synthesis and storage as an energy source. Liver function tests showed lower levels of aspartate aminotransferase (AST) and alanine aminotransferase (ALT) in BN patients (P<0.05), while higher prolactin levels (P<0.05) suggested an altered hypothalamic-pituitary-gonadal axis. Imbalances in minerals such as calcium and magnesium (P<0.05) were observed in individuals with eating disorders. PCA effectively differentiated AN and BN patients based on clinical features, and the Naïve Bayes (NB) model showed promising results in identifying eating disorders. Conclusion: The findings of the study provide important insights into AN and BN patients’ clinical features and may help guide future research and treatment strategies for these conditions.
Effect of Filling Ratio-Pattern Parameters on Mechanical Properties of PLA Filaments Used in 3D Printing
Authors: KARTAL Fuat , KAPTAN Arslan
Published: January 2024

This research primarily focuses on the mechanical properties of specimens produced using Polylactic Acid (PLA) through the Fused Deposition Modeling (FDM) technique, a method of 3D printing. Within the scope of this study, specimens were fabricated using various fill percentages and different infill patterns. The simultaneous effect of variable parameters on mechanical properties is a challenging task, and it is aimed to rank the importance of the parameters, model the process, and finally validate the models using tensile and bending experiments. The results show that samples with a Concentric pattern and 95% fill rate exhibited the highest tensile strength with an average of 48.67 MPa. In contrast, the Triangle pattern with 20% infill ratio showed the lowest tensile strength with an average of 14.15 MPa. When evaluating flexural strength values, the Concentric design with a 95% fill ratio stood out once again, recording an average peak value of 79.94 MPa. Meanwhile, the Honeycomb pattern at 20% infill ratio exhibited the lowest strength value measured with an average of 23.3 MPa. Scanning Electron Microscope images taken according to infill rates confirm each other with the voids formed and mechanical performance outputs. These findings underscore that the mechanical attributes of PLA specimens produced using 3D printing technology can significantly vary based on the chosen fill rate and pattern.
Legal relations related to Artificial Intelligence
Authors:   LAW RESEARCH INSTITUTE CHUNGBUK NATIONAL UNIVERSITY, Oh Ji-Yong
Published: January 2024

When economic value is created by an Artificial Intelligence, the acquisition of that value is generally attributed to the owner of the AI. At the same time, even if damage is caused to others due to autonomous judgment or malfunction of the AI, civil liability is generally imposed on the owner. However, even in cases where the AI commits legal or illegal acts beyond human control, will the effects be attributable to the AI itself and will the legal responsibility can be imposed on the AI itself? It is not clear whether it is. In that case, although researchers are discussing how to control the interests of the other party who engages in legal acts with AI or is harmed by illegal acts by AI, no concrete legal or institutional mechanism has been established. Since the degree of evolution of AI is still within the control of humans, these discussions have not yet begun in earnest, but considering the speed of its development, this problem will become a reality in the near future. If social necessity and social value judgment are premised, it will be possible to proceed with legislative procedures to grant the legal personhood to the AI, which is a new entity. However, even if the AI has the legal personhood, the scope of it should be limited, as seen in corporations. Since the scope of the legal personhood of the AI is the one of the owner’s need or convenience, it is reasonable to ensure that the scope is specified in the AI register upon the application of the owner, and to grant the legal personhood only within that scope. In addition, it is appropriate to allow the AI to be granted legal personhood on the condition that it maintains registered minimum liability property, and to deny legal personhood in cases where the minimum liability property cannot be maintained due to the actions of AI. In this way, by setting the minimum liability property and ensuring that the specified property is maintained, it is possible to protect the other party transacting with the AI or the victims who have suffered damage due to the actions of AI.
Strategy for the Treatment of Chronic Heart Failure in a Specialized Hospital
Authors: Агабабян И.Р. , Исмоилова Ю.А.
Published: January 2024

Цель. Оценить роль специализированного стационара в комплексном лечении пациентов с хронической сердечной недостаточностью. Материалы и методы. В 1-ю группу вошли 150 пациентов (мужчин – 84 (56%), женщин – 66 (44%); средний возраст – 55,8±1,98 года), которые поступили в специализированное отделение хронической сердечной недостаточности (ХСН) с острой декомпенсацией сердечной недостаточности (ОДСН). Во 2-ю группу вошли 150 пациентов (мужчин – 78 (52%), женщин – 72 (48%); средний возраст – 55,88±1,62 года), наблюдавшихся в амбулатории по месту жительства после выписки из стационара. Результаты. Пациенты с ХСН, поступившие в специализированный стационар, которые находились под постоянным патронажем специализированного кабинета ХСН, имели лучшие показатели по качеству жизни и количеству госпитализаций. В течение года смертность пациентов по причине тяжелой ХСН или ОДСН в группе наблюдения составляла 4,2%, а смертность пациентов, которые не наблюдались, составила 17,4%. Заключение. По итогам лечения было выявлено, что те пациенты, которые получали квадротерапию (в лечение обязательно входили иАПФ или блокаторы АРА, далее при стабилизации состояния их переводили на антагонисты ренина и неприлизина ингибиторы, препарат юперио, β-адреноблокаторы, антагонисты минералокортикоидных рецепторов и ингибиторы натрий-глюкозного котранспортера второго типа) с титрацией препаратов и находились на контроле кабинета ХСН, имели лучшие показатели по прогнозу и качеству жизни.

Purpose. To evaluate the role of a specialized hospital in the complex treatment of patients with CHF. Materials and methods. Group I included 150 patients (men 84 (56%), women 66 (44%), average age 55.8±1.98) who were admitted to the specialized department of chronic heart failure (CHF) with acute decompensation of heart failure (CHF). Group II included 150 patients (men 78 (52%), women 72 (48%), mean age 55.88±1.62) who were observed in an outpatient clinic at the place of residence after discharge from the hospital. Results. Patients with CHF who were admitted to a specialized hospital, who were under the constant patronage of a specialized CHF cabinet, had better indicators in terms of quality of life and the number of hospitalizations. During the year, the mortality of patients due to severe CHF or ADHF in the observation group was 4.2%, and the mortality of patients who were not observed was 17.4%. Conclusion. Based on the results of treatment, it was found that those patients who received quadruple therapy, that is, the treatment necessarily included ACE inhibitors or ARA blockers, then, when their condition stabilized, they were transferred to renin antagonists and neprilysin inhibitors (ARNI), β-blockers, mineralocorticoid receptor antagonists and inhibitors sodium glucose co-transporter of the second type with titration of drugs and were under the control of the CHF cabinet had the best indicators in terms of prognosis and quality of life.
Trabajo Social frente a las nuevas derechas.
Authors: Servio Mariana
Published: January 2024

El presente escrito recoge las reflexiones compartidas en el Ciclo de Conversatorios organizado por el Departamento de Trabajo Social de la Universidad Nacional de Catamarca, con motivo del Día del Trabajo Social Argentino, el 10 de diciembre de 2023. Su propósito es apelar a la memoria histórica de la profesión, así como al diálogo con otros movimientos y experiencias populares, que funcionen como herramientas para la construcción de resistencia y lucha frente el avance de proyectos neoliberales y neoconservadores, como el que nos toca atravesar actualmente en Argentina, donde acaba de asumir la presidencia de la Nación el candidato del partido autodenominado libertario La Libertad Avanza.
Gestionar el conflicto:
Authors: Rovetto Florencia , Santervas Georgina
Published: January 2024

En este artículo nos proponemos abordar el problema de las violencias por razones de género en el ámbito universitario revisando conceptos, datos y prácticas de intervención en las políticas universitarias. Para ello nos centramos en la institucionalización del proceso en la Universidad Nacional de Rosario a partir de la creación del Área de Género y Sexualidades en el máximo nivel de su estructura organizacional. Por último, nos adentraremos en la descripción de las políticas y líneas de trabajo de la Dirección de Abordaje de las violencias sexistas, explorando a partir de las mismas los avances alcanzados, pero también los obstáculos y desafíos pendientes.
Soplan nuevos vientos
Authors: Morbiducci Pía
Published: January 2024

"En el marco del proyecto de investigación sobre la agenda temática promovida por los estados miembros de BRICS en materia de energía, propiedad intelectual y defensa en el período 2003-2018, acreditado por la Universidad Nacional de Rosario y dirigido por la Dra. Clarisa Giaccaglia, surge este destacado trabajo que aborda la acción de las potencias emergentes referenciadas por el acrónimo, en el contexto de una transición hegemónica mundial caracterizada por el ascenso de China y el declive de los Estados Unidos..."
Gondolatok a mesterséges intelligencia, a gépi tanulás kapcsán (III. rész)
Authors: Gyarmati Péter
Published: January 2024

A Gondolatok… előző részeire számos észrevétel és gondolat érkezett, melyek alapján újabb aspektusból közelítjük meg a mesterséges intelligencia forrásait, várható fejlődését. Kiinduló álláspontunk változatlanul az emberi alkotás, amelyet a józan ész, a hatalom mindenhatóságra törekvése és a kapitalista gazdaság korlátlansága mozgat. A mesterséges intelligencia a tudomány mai állása szerinti antropomorf modell alapján építkezik, azaz utánozni igyekszik az emberi gondolkodást, viselkedést. A humán intelligencia bázisa az emberi agy, a mesterségesé a számítógép. Az emberek társadalmakba szerveződnek szabályok és az erkölcs szerint. A józan ész ellentmond a gépek ilyen önszervező képességgel való ellátásának és az emberi célok ezt nem is teszik szükségessé. A tanulmány a modell részei alapján igyekszik feltárni a két intelligencia különbözőségét, lehetséges konvergenciáját. Ezen közben mindig megállapítva az ember felsőbbrendűségét és felelősségét. Az etikátlant, a pusztítást, az ember – a hatalom – okozza, még ha intelligenciával is rendelkező gépekkel végzik. Most a modellnek „Az agy és működése” fejezete kerül tárgyalásra.
“Grandpa, I want to be adult!” : The significance of Karaba’s kiss or threefold revelation of puberty rite in Kirikou and the Sorceress
Authors: Csiha Tünde Noémi
Published: January 2024

My study deals with the French-Belgian-Luxembourgish co-production Kirikou and the Sorceress, a film adaptation of a West African folktale. I examine in it the elements that go back to the archaic age and are related to the customs of the archaic age society, they lead us all the way to the initiation ceremonies. I outline the path traveled by the hero, I present the important stations, through witch Kirikou acquires sacred knowledge, faces death, fights against evil, and by reaching these milestones – symbolically – undergoes the temporary initiation rite of adolescence. In the study, following Eliade, I describe the trinity characteristic of puberty initiation rites of archaic societies, as well as its appearance in the film.
Ungár Margit, az első magyar ügyvédnő emlékezete
Authors: Bóka Zsolt
Published: January 2024

A tanulmány a hazánkban végzett első női ügyvédnek állít emléket, az ő életútját mutatjuk be. Mivel Ungár Margit élettörténete szinte ismeretlen, ezért idő- és célszerű, hogy személye és tevékenysége újra előtérbe, a feledés homályából napvilágra kerüljön. A központi témát elsődleges források felhasználásával ismertetjük, amelyek elősegítik az eddig csak töredékesen feltárt életút állomásainak a bővebb kifejtését, ennek könnyebb megértését. Így részletesebb, ezáltal árnyaltabb, de még mindig csak vázlatos képet kapunk az első női ügyvéd életéről, hivatásáról és munkásságáról. Végigkísérjük a címszereplőt a szülői háztól az elemi és középfokú iskolai tanulmányokon át az egyetemig, a jogi doktorrá avatásig. Bemutatjuk a küzdelmét – az addig kizárólag férfiaknak fenntartott Jogi pályán –, amit az ügyvédi kamarai felvételéért, a gyakorlati ismeretek megszerzéséért és a sikeres ügyvédi vizsgák abszolválásáért tesz. Feltárjuk, hogy Ungár Margit milyen empátiával és szolidaritással fordul a jogi ügyekben őt megkeresőkhöz, illetve, hogy a nők egyenjogúságának kérlelhetetlen szószólója. Még akkor is, amikor őt a zsidó származása miatt jogfosztó intézkedések érik, és ezáltal szinte megsemmisül az ő és a szerettei élete. Kiderítjük a második világháború utáni évei nehézségeit, bánatait és örömeit, illetve az példája egyúttal buzdítóan hat a mai kor embere számára is, hogy az áldozathozatal előbb-utóbb be fog érni, meg fog térülni. Munkánk eredményeként reméljük, hogy Ungár Margit újra visszakerül a(z első) jogász- és ügyvédnők Pantheonjába, az őt megillető helyre, ezáltal pedig a közéleti, szakmai és tudományos diskurzus folyamába.
THE RELATIONSHIP BETWEEN TIME FACTOR AND FIGURATIVE FACTOR IN CHINESE AND ITALIAN FIGURE PAINTING IN THE 15TH CENTURY
Authors: Shi Xueyan , Abindinhazir Zainuddin
Published: January 2024

The Time factor used or emerged in painting is an issue that has been discussed for almost 1 century. However, there has never been any specific study related to time and figure painting. In addition, the author finds the time factor used in Italian and Chinese painting in the 15th century, which always depends on the figurative factor of the painting. So, this study is to explore the presentation of time factors in figure paintings in Italy and China from the 15th century to the 16th century and find out the rules between figurative factors and time factors in figure painting during this period.
TEACHERS' PERCEPTIONS TOWARDS THE USE OF TEACHING AIDS TO BUILD MALAY SENTENCES LEVEL 1
Authors: Mohamad Hanapi Mazarul Hasan , Saban Susana , Zakaria Norazimah , Yusuf Abu Bakar
Published: January 2024

The use of Teaching Aids (TEAs) in the Teaching and Learning (PdP) process is very important so that everything taught is more clear and systematic and can be followed by the students better. This study was conducted to find out the teacher's perception of the effectiveness of using teaching aids for the teaching of constructing sentences in Bahasa Melayu level 1. This study was conducted using a survey method in the form of a questionnaire. The data obtained through this questionnaire will be analyzed using (SPSS). This study involved 50 respondents, consisting of Level 1 Malay teachers in the Julau District of Sarawak. The results of the study are reported in the form of mean, standard deviation and percentage. Overall, teachers need to be aware that the use of BBM in PdP is important to attract interest and improve students' performance and achieve the teacher's teaching objectives for a subject.
PROJECT-ORIENTED PROBLEM BASED LEARNING (POPBL): AN INITIATIVE TO ENHANCE SELF-ESTEEM AMONG ORPHANS
Authors: Latada Fatmawati , Hashim Husna
Published: January 2024

Self-esteem is embodied by a person when he feels capable of handling life's basic challenges and being worthy of happiness. Countless studies unfortunately indicated that orphans are often deficient of this quality. This paper explores and discusses the implementation of Project-Oriented Problem Based Learning (POPBL) in an orphanage to boost the participants’ self-esteem. The study involved 32 male orphans aged 9 to 16 years old, coming from diverse backgrounds and originated from various parts of Malaysia. Participants were divided into three groups of 11 and 10 members, and each led by a male supervisor or warden. Each group was required to manage and participate in a program called “Sayyidul Ayyam’. The program took place on specified Fridays, and all three POPBL sessions were completed within two months. Each orphan in each group was entrusted with specific roles such as master of ceremony (MC), reciter of the Quran, reciter of the meaning of the Quran, storytellers, Nasyid presenters and finally Doa reciter. Each group was given two weeks to practice prior to their designated Friday and were given the freedom to choose their own roles, their own nasyid etc. Participants’ self-esteem levels were assessed using The Rosenberg Self-Esteem Scale (RSES) before and after completing their tasks. To ensure RSES items were understood by minor participants, individual interviews were conducted to collect data. The RSES uses a scale of 0–30, where a score less than 15 suggested low self-esteem. The findings indicated that after completing the POPBL program, 62.63% (N=20) of the participants demonstrated improved self-esteem, 21.22% (N=7) reported no change, and 15.15% (N=5) experienced a decrease in their self-esteem level. The findings were shared with the Pahang Orphan Welfare Association (PEKAYA) aiming to facilitate its members to adopt the Problem-Based Project-Based Learning (POPBL) module as a tool to strengthen their residents’ self-esteem.
EXPLORING METACOGNITIVE AWARENESS IN DIGITAL ENVIRONMENT: A STUDY OF ASASI STUDENTS' PERCEPTIONS
Authors: Suyansah Ameera Irdena , Ismail Norhiza , Said Noraini , Jawing Esther
Published: January 2024

In language learning, there are four skills that a learner must master to be proficient in the language and one of the skills that is hardest to master is writing skills. Being aware of your thinking during writing is beneficial for the learner. This study aimed to investigate the students’ perception of Metacognitive Awareness (MA) in writing. This study employed a quantitative research design which utilised a questionnaire. The questionnaire used is the Metacognitive Awareness Inventory that was developed by Schraw and Dennison. The findings from the questionnaire discovered that ASASI students’ perspective towards Debugging strategies has the highest influence in their writing performances. The overall results indicated that MA had a positive effect on the ASASI students’ writing performances and that they perceived Debugging Strategies to be the most crucial subscale in MAI. The findings from the study are beneficial towards lecturers who teach MUET and students who will be sitting for MUET.
DINAMIKA PERILAKU POLITIK MASYARAKAT MENJELANG PEMILIHAN KEPALA DAERAH SERENTAK 2024 DI KECAMATAN LAWA KABUPATEN MUNA BARAT
Authors: Iriyani Astuti Arief  , Muhammad Ishak Syahadat  , M. Najib Husain
Published: January 2024

This research reviews the dynamics of the political behaviour of the people of Lawa District in the 2024 West Muna Regency regional head election, with a focus on Latugho Village, Lalemba Village, Wamelai Village, and Lapadaku Village. Through the concept of political behaviour, this research explores socio-political factors that influence political participation, especially the phenomenon of high abstention. Data was collected through questionnaires, literature studies, and documentation, and analyzed in three stages: data reduction, data presentation, and drawing conclusions. The research results show that the dynamics of political behavior are influenced by sociological, psychological and rational choice factors. Ethnicity is not dominant, while psychological factors (family) dominate with 27.5% influence. Rational choices, especially the vision and mission of the Regent candidate, influence 22.5% of the community. In conclusion, psychological factors are key in shaping political behaviour in Lawa District, where the family has a significant influence in political decision-making.
Formation of Al-incorporated SiC thin films by chemical vapor deposition of vinylsilane mixed with trimethylaluminum
Authors: Tsuchiizu Yuuki , Ono Koki , Uehara Kenichi , Taoka Noriyuki , Yasuhara Shigeo , Takeuchi Wakana
Published: January 2024

We demonstrated the synthesis of Al-incorporated amorphous SiC thin films with a vinylsilane precursor, which were grown at a growth temperature of 800 °C using a hot-wall CVD system with a simultaneous supply of vinylsilane and trimethylaluminum (TMA). The SiC films were characterized by scanning electron microscopy, X-ray photoelectron spectroscopy, Fourier-transform IR spectroscopy, and X-ray diffraction. The introduction of TMA was controlled by a needle valve, and the Al composition ratio increased with the amount of TMA introduced. The Si–C bond in the thin films was dominant up to 0.25 mm aperture length of the needle valve (ALNV), and the amorphous structure was maintained up to an Al composition ratio of approximately 20%. The Al–C bond became dominant for samples with a 0.50 mm ALNV, and the crystalline Al4C3 phase was observed. Al-incorporated amorphous SiC films could also be obtained if no excess TMA was introduced into vinylsilane.
Anti-relaxation of tensile lattice strain in Si-embedded Ge strip structure for photonic device applications
Authors: Chombo Joshua , Bin Amin Mohd Faiz , Piedra-Lorenzana Jose A. , Hizawa Takeshi , Yamane Keisuke , Jiang Mingjun , Ahn Donghwan , Wada Kazumi , Ishikawa Yasuhiko
Published: January 2024

This paper reports an anti-relaxation of tensile lattice strain in a narrow Ge strip epitaxially grown on Si by CVD. In an ordinary Ge mesa strip as narrow as 1 μm or below, an in-plane tensile strain as high as 0.2% due to the thermal expansion mismatch with the Si substrate is relaxed by edge-induced relaxation. Such a relaxation is significantly prevented by embedding the Ge strip entirely in Si, as supported by Raman and photoluminescence spectra as well as theoretical strain analysis. This anti-relaxation is effective for efficient optical absorption and light emission at around 1.55 μm.
Compact thermally stable high voltage FinFET with 40 nm tox and lateral break-down >35 V for 3D NAND flash periphery application
Authors: Spessot A. , Matagne P. , Arimura H. , Ganguly J. , Ritzenthaler R. , Bastos J. , Sarkar R. , Capogreco E. , Chen Y. , Horiguchi N.
Published: January 2024

We propose for the first time a dedicated FinFET technology with specific optimization for tox >40 nm and lateral breakdown >35 V to replace the conventional planar high voltage transistors in the 3D NAND Flash periphery. We show significant current increase (>x2) and area saving per footprint, solving one of the key bottlenecks of future 3D NAND nodes. Fabrication of thermally stable prototypes is shown, with no significant impact on the overall fabrication complexity.
Using medical big data for clinical research and legal considerations for the protection of personal information: the double-edged sword
Authors: Kim Raeun , Shinn Jiwon , Kim Hun-Sung
Published: January 2024

The advent of medical big data has increased the scope of the clinical use of such data; however, these data have raised serious concerns regarding personal privacy protection, which hinders their usage. For instance, as the pseudonymization or anonymization of data increases, the quality of its clinical use decreases. Thus, a balanced approach is required to maximize clinical data use while protecting personal information as much as possible. However, Korea’s existing laws mandate several kinds of consent; soliciting some of these types of consent can be cumbersome. Moreover, while the collection of medical data by hospitals requires considerable time and money, its ownership is difficult to ascertain. To bridge the enormous gap between the protection of personal information and the use of clinical data, the European Union and countries such as Finland have already proposed various modes of guaranteeing the free movement of personal information that simultaneously strengthen people’s personal rights. Similarly, Korea has initiated the MyData Service, although it faces several limitations. Therefore, this study reviews Korea’s current healthcare big data system, the laws governing data sharing and usage, and compares them with similar laws enacted by the European Union and Finland. It then provides future direction for Korea’s personal information protection legislation. Ultimately, governments must expand and elaborate upon the scope and content of personal information protection laws to enable the development of healthcare and other industries without sacrificing either personal information protection or clinical use of medical data.
Modeling the characteristics of a bottom trawl
Authors: Nedostup A. A. , Razhev A. O. , Nasenkov P. V.
Published: January 2024

The purpose of the work is to create software for calculating the structural, geometric and strength characteristics of mesh bottom trawl structures, intended for modeling technological and hydrodynamic processes of trawl structures.

Methods used: The software “Calculation of the structural, technological and power characteristics of a bottom mesh trawl” is written in C++ in the Embarcadero RAD Studio software development environment and is designed to run on the Microsoft Windows 10 operating system.

Novelty: based on the results of experimental studies, mathematical and simulation models of the mechanics of trawl structures were analyzed for the first time and software was developed that allows calculating the characteristics of mesh trawl structures, including material costs for the manufacture of trawl structures.

Result: The software displays the static process of trawling a mesh bottom trawl, as well as the output technological (for the technologist), geometric and power (for the designer) characteristics.

Practical significance: the developed software is expected to be used in the future as a simulator module for training aquatic organisms getters, trawl masters and assistant captains for production.
Dynamics and prospects of development of China’s fishing industry and its role in the global economy
Authors: Loseva A. V. , Gadzhimirzoev G. I.
Published: January 2024

Objective: to reflect the retrospective, current and prospective state of the fishing industry in China, to assess the existing trends and highlight their key factors.

Method: general scientific methods of analysis and synthesis, as well as methods of statistical processing, analysis and visualization of data were used.

Novelty: the main factors and conditions that ensure the progressive growth of the fishing industry in China are identified; a forecast model for the growth of fish production is constructed.

Results: The key indicators of China’s fishing industry in retrospect and the current state are analyzed; a quantitative characteristic of China’s position in the global fishing industry and trade in fish products is given; a quarterly forecast of the output of the country’s fishing industry is constructed based on modeling of dynamics series with seasonal components. The key guidelines of the Chinese government regarding the development of the industry, implemented within the framework of five-year planning, aimed at reducing the burden on the environment, restructuring the industry towards increasing the scale of aquaculture, qualitative improvement of the industry on the basis of innovative technological potential and scientific developments, are disclosed.

Conclusions are drawn about the multiplicative effect of modern transformations in the fishing industry of China, significant both for the national and for the global economy as a whole.
Identifikasi Mahang (Macaranga gigantea) Dan Puspa (Schima wallichii) Menggunakan Foto Drone Di KHDTK Diklat Kehutanan, Fakultas Kehutanan, Universitas Mulawarman
Authors: Ulandari Ita , Siswanto Hari , Ruslim Yosep , Aquastini Dwinita
Published: January 2024

Inventarisasi hutan yang merupakan bagian penting dalam perencanaan hutan dapat dilakukan secara terestris dan penginderaan jauh. Teknologi penginderaan jauh terus berkembang diantararanya drone. Dengan resolusi spasial yang tinggi menjadikan citra drone semakin banyak dimanfaatkan pada berbagai bidang termasuk kehutanan dalam hal mengidentifikasi jenis vegetasi. Pada penelitian ini citra drone digunakan untuk mengidentifikasi jenis vegetasi Mahang (Macaranga gigantea) dan Puspa (Schima walichii).Tujuan penelitian yaitu mengetahui informasi dari kunci interpretasi vegetasi Mahang dan Puspa, Mengetahui informasi dari hasil persentase uji akurasi vegetasi Mahang dan Puspa, Melakukan pemetaan sebaran dari vegetasi Mahang dan Puspa. Metode analisis yang digunakan adalah deskriptif kantitatif dengan mengelola hasil uji akurasi dengan membandingkan hasil interpretasi dan pengecekan  lapangan.  Pada uji akurasi dibuktikan bahwasannya hanya vegetasi Mahang yang dapat teridentifikasi yang menghasilkan persentase uji akurasi sebesar 93%, sedangkan vegetasi puspa tidak dapat teridentifikasi dikarenakan persentase uji akurasi hanya mencapai 20%. Berdasarkan hasil identifikasi dibuktikan bahwasannya jumlah populasi mahang yang terdapat di kawasan KHDTK yaitu sebanyak 3469 individu, dimana jumlah rata-rata individu dari vegetasi Mahang yaitu sebanyak 11 individu/hektar dimana individu paling sedikit yaitu sebanyak 1 individu dan jumlah individu terbanyak yaitu sebanyak 43 individu. Kesimpulan dari penelitian ini yaitu hanya vegetasi Mahang yang dapat teridentifikasi dikarenkan korelasi antara persentase uji akurasi dan keberhasilan kunci interpretasi, dimana persentase uji akurasi vegetasi Mahang mencapai 93% .
Makanan Tradisional Pendamping Nasi Berbahan Baku Hewan di Kabupaten Tuban Jawa Timur
Authors: Rahmawati Annisa , Kurniahu Hesti , Andriani Riska
Published: January 2024

Nasi merupakan sumber karbohidrat masyarakat Indonesia dan dikonsumsi bersama makanan lain sebagai sumber protein, lemak, vitamin, mineral dan serat. Beberapa makanan tradisional pendamping nasi diolah dari hewan dari lingkungan masyarakat lokal. Penelitian ini bertujuan untuk mendokumentasikan makanan tradisional pendamping nasi khas Tuban sebagai upaya awal konservasi pengetahuan lokal masyarakat Tuban khususnya budaya kuliner dan menjaga keberlanjutan sumber daya hewan dalam bahan baku makanan tradisional pendamping nasi khas Tuban. Metode penelitian ini adalah melalui survey, wawancara dan partisipasi secara langsung (participant observation) terhadap 120 responden pada 20 kecamatan di Kabupaten Tuban. Data yang diperoleh berupa jenis makanan, jenis hewan, cara memperoleh, habitat, organ yang digunakan dan preparasi kemudian dianalisis secara kualitatif, sedangkan data kuantitatif berupa persentase penggunaan hewan. Hasil penelitian didapatkan 8 jenis makanan tradisional pendamping nasi yaitu becek menthog, sate menthog, krengsengan bekicot, garang asem manyung, kare rajungan, ulas-ulas pe, nus ireng, dan krengsengan welut yang diolah dari 7 jenis hewan yaitu entog, bekicot, ikan jambal roti, rajungan, ikan pari, cumi-cumi dan belut. Habitat hewan tersebut adalah di darat, laut dan air tawar serta diperoleh dengan cara budidaya lokal maupun menangkap langsung di alam. Seluruh tubuh hewan dapat diolah menjadi masakan kecuali bagian yang tidak dapat dikonsumsi. Proses preparasi hewan sebelum dimasak diantaranya direbus, diasap, dan digoreng. Entog merupakan hewan yang dimanfaatkan sebagai bahan makanan tradisional pendamping nasi khas Tuban paling tinggi yaitu 28%.
Terahertz Meets Untrusted UAV-Relaying: Minimum Secrecy Energy Efficiency Maximization via Trajectory and Communication Co-design
Authors: Mamaghani Milad Tatar , Hong Yi
Published: January 2024

Unmanned aerial vehicles (UAVs) and Terahertz (THz) technology are
envisioned to play paramount roles in next-generation wireless
communications. In this paper, we present a novel secure UAV-assisted
mobile relaying system operating at THz bands for data acquisition from
multiple ground user equipments (UEs) towards a destination. We assume
that the UAV-mounted relay may act, besides providing relaying services,
as a potential eavesdropper called the untrusted UAV-relay (UUR). To
safeguard end-to-end communications, we present a secure two-phase
transmission strategy with cooperative jamming. Then, we devise an
optimization framework in terms of a new measure − secrecy energy
efficiency (SEE), defined as the ratio of achievable average secrecy
rate to average system power consumption, which enables us to obtain the
best possible security level while taking UUR’s inherent flight power
limitation into account. For the sake of quality of service fairness
amongst all the UEs, we aim to maximize the minimum SEE (MSEE)
performance via the joint design of key system parameters, including
UUR’s trajectory and velocity, communication scheduling, and network
power allocation. Since the formulated problem is a mixed-integer
nonconvex optimization and computationally intractable, we decouple it
into four subproblems and propose alternative algorithms to solve it
efficiently via greedy/sequential block successive convex approximation
and non-linear fractional programming techniques. Numerical results
demonstrate significant MSEE performance improvement of our designs
compared to other known benchmarks.
Secure Short-Packet Communications via UAV-Enabled Mobile Relaying: Joint Resource Optimization and 3D Trajectory Design
Authors: Mamaghani Milad Tatar , Zhou Xiangyun , Yang Nan , Swindlehurst A. Lee
Published: January 2024

Short-packet communication (SPC) and unmanned aerial vehicles (UAVs) are
anticipated to play crucial roles in the development of 5G-and-beyond
wireless networks and the Internet of Things (IoT). In this paper, we
propose a secure SPC system, where a UAV serves as a mobile
decode-and-forward (DF) relay, periodically receiving and relaying small
data packets from a remote IoT device to its receiver in two hops with
strict latency requirements, in the presence of an eavesdropper. This
system requires careful optimization of important design parameters,
such as the coding blocklengths of both hops, transmit powers, and the
UAV’s trajectory. While the overall optimization problem is nonconvex,
we tackle it by applying a block successive convex approximation (BSCA)
approach to divide the original problem into three subproblems and solve
them separately. Then, an overall iterative algorithm is proposed to
obtain the final design with guaranteed convergence. Our proposed
low-complexity algorithm incorporates robust trajectory design and
resource management to optimize the effective average secrecy throughput
of the communication system over the course of the UAV-relay’s mission.
Simulation results demonstrate significant performance improvements
compared to various benchmark schemes and provide useful design insights
on the coding blocklengths and transmit powers along the trajectory of
the UAV.
Joint Trajectory and Power Allocation Design for Secure Artificial Noise aided UAV Communications
Authors: Mamaghani Milad Tatar , Hong Yi
Published: January 2024

This paper investigates an average secrecy rate (ASR) maximization
problem for an unmanned aerial vehicle (UAV) enabled wireless
communication system, wherein a UAV is employed to deliver confidential
information to a ground destination in the presence of a terrestrial
passive eavesdropper. By employing an artificial noise (AN) injection
based secure two-phase transmission protocol, we aim at jointly
optimizing the UAV’s trajectory, network transmission power, and AN
power allocation over a given time horizon to enhance the ASR
performance. Specifically, we divide the original non-convex problem
into four subproblems, and propose a successive convex approximation
based efficient iterative algorithm to solve it suboptimally with
guaranteed convergence. Simulation results demonstrate significant
security advantages of our designed scheme over other known benchmarks,
particularly for stringent flight durations.
Improving PHY-Security of UAV-Enabled Transmission with Wireless Energy Harvesting: Robust Trajectory Design and Communications Resource Allocation
Authors: Mamaghani Milad Tatar , Hong Yi
Published: January 2024

In this paper, we consider an unmanned aerial vehicle (UAV) assisted
communications system, including two cooperative UAVs, a
wireless-powered ground destination node leveraging simultaneous
wireless information and power transfer (SWIPT) technique, and a
terrestrial passive eavesdropper. One UAV delivers confidential
information to destination and the other sends jamming signals to
against eavesdropping and assist destination with energy harvesting.
Assuming UAVs have partial information about eavesdropper’s location, we
propose two transmission schemes: friendly UAV jamming (FUJ) and
Gaussian jamming transmission (GJT) for the cases when jamming signals
are known and unknown a priori at destination, respectively. Then, we
formulate an average secrecy rate maximization problem to jointly
optimize the transmission power and trajectory of UAVs, and the power
splitting ratio of destination. Being non-convex and hence difficult to
solve the formulated problem, we propose a computationally efficient
iterative algorithm based on block coordinate descent and successive
convex approximation to obtain a suboptimal solution. Finally, numerical
results are provided to substantiate the effectiveness of our proposed
multiple-UAV schemes, compared to other existing benchmarks.
Specifically, we find that the FUJ demonstrates significant secrecy
performance improvement in terms of the optimal instantaneous and
average secrecy rate compared to the GJT and the conventional single-UAV
counterpart.
Auditing geospatial datasets for biases: using global building datasets for disaster risk management
Authors: Gevaert Caroline , Buunk Thomas , Homberg Marc J C Van Den
Published: January 2024

The presence of biases has been demonstrated in a wide range of machine
learning applications, yet it is not yet widespread in the case of
geospatial datasets. This manuscript illustrates the importance of
auditing geospatial datasets for biases with a particular focus on
disaster risk management applications, as lack of local data may direct
humanitarian actors to utilize global building datasets to estimate
damage and the distribution of aid efforts. It is important to ensure
there are no biases against the representation of vulnerable populations
and that they are not missed in the distribution of aid. This manuscript
audits four global building datasets (Google Open Buildings, Microsoft
Bing Maps Building Footprints, Overture Maps Foundation, and
OpenStreetMap) for biases with regard to Relative Wealth Index,
population density, urban/rural proportions, and building size in
Tanzania and the Philippines. Dataset accuracies for these two countries
are lower than expected. Google Open Buildings (with a confidence above
0.7) and OpenStreetMap demonstrated the best combinations of False
Negative and False Discovery, though Google Open Buildings was more
consistent across tiles. The equality of opportunity was lowest for the
urban/rural proportions, whereas OpenStreetMap and Overture Maps
Foundation displayed particularly low equality of opportunity for
population density and RWI in Tanzania. These results demonstrate that
there are biases in these geospatial datasets. The types of biases are
not consistent across datasets and the two study areas which emphasizes
the importance of auditing these datasets for biases for new
applications and study areas.

Note

This work has been submitted to the IEEE for possible publication.
Copyright may be transferred without notice, after which this version
may no longer be accessible.
Multimodal Video Intelligence Framework
Authors: Akewar Mayur
Published: January 2024

Analyzing videos presents a unique challenge due to their rich content
compared to images. Furthermore, processing lengthy videos efficiently
necessitates segmenting them into scenes. Focusing on individual scene
analysis offers an efficient alternative to analyzing entire videos. To
facilitate this approach, images are extracted from these scenes, and
each image is subjected to processing and analysis. In this study, we
introduce a novel framework for video analysis employing
state-of-the-art open-source models, including Contrastive
Language–Image Pre-training (CLIP) for image classification,
Bidirectional and Auto-Regressive Transformer (BART) language model for
text classification, WHat-If Scenario Planning for Event Recognition
(WHISPER) for Speech Recognition, and Yet Another Multiscale
Convolutional Neural Network (YAMNET) audio model for audio
classification. The proposed methodology starts with a video, and then,
audio features are harnessed to extract scenes. A multimodal approach is
applied to these scenes, capturing audio features, and text features
through Automatic Speech Recognition (ASR), and image classification
using CLIP. This fusion of multimodal features enhances the video
intelligence process, making it a highly effective approach. The
application of this approach extends to a variety of Video Intelligence
tasks, from surveillance applications to comprehensive video analytics.
By capitalizing on opensource foundation models and leveraging audio and
text features, our framework offers a versatile solution to the
intricate task of video analysis, catering to a multitude of real-world
applications. We published the code at https URL
[https://github.com/akewarmayur/VideoIntelligence] for future
consideration and study.