bluuebunny/crossref_metadata_2025 huggingface dataset:
STRATEGI POLITIK DALAM PENGENTASAN DESA TERTINGGAL
Authors: Padilah Ahirul Habib , Yursa Dadi Sunarya Usfa , Alamri Annisa Rizqa , Apriyani Eka
Published: March 2024

The village development program run by the government in reducing poverty in rural areas, in its implementation, especially for all parties, is still in doubt. The village categories based on the Highly Underdeveloped Village Index (IDM) and Disadvantaged Villages show a correlation with the condition of the poor population in these village categories. For this reason, demands for a joint political strategy between the government and the community are urgently needed, related to strengthening decentralization, changing the role of the local bureaucracy and building community participation in efforts to alleviate underdeveloped villages or poor villages in order to contribute to reducing poverty in rural areas. This study uses a qualitative research method with a descriptive approach with a purposeito make a charmisystematically,ifactual andiaccurate factsiand population traitsior certain areas. The results of the research show that on the Village Government service side it is still not on target, programs that should be for the poor are also enjoyed by the rich. So that the poor do not develop and do not increase their standard of living, this causes the village to still be in the category of underdeveloped villages, even very underdeveloped.
Kearifan Lokal Suku Manggarai Neka Gaku Ngo Data Sebuah Model Pendidikan Anti Korupsi
Authors: Asror M. Zainul
Published: March 2024

Penelitian ini bertujuan untuk mengetahui nilai kearifan lokal “neka gaku ngo data” pada Suku Manggarai dan bagaimana nilai tersebut dapat diadopsi sebagai sebuah model pendidikan anti korupsi. Untuk mencapai tujuan tersebut, data penelitian dikumpulkan dengan observasi dan wawancara. Data dianalisis menggunakan pendekatan deskriptif kualitatif. Dari penelitian tersebut ditemukan: 1) Neka Gaku Ngo Data merupakan sebuah sistem nilai yang telah tertanam kuat pada masyarakat. 2) Penanaman nilai tersebut dilakukan dengan pola tuing (nasihat) yang disampaikan secara terus menerus dalam berbagai kesempatan. 3) Struktur budaya memegan peranan penting menjadi control dalam menjaga nilai-nilai tersebut dapat dijalankan dan dipatuhi oleh segenap anggota masyarakat. Dengan demikian kearifan neka gaku ngo data tersebut dapat menjadi nilai universal yang bisa diadopsi dengan perumusan pola dan sistem seperti yang berkembang pada masyarakat Manggarai.
KEPEMIMPINAN KHARISMATIK, BUDAYA ORGANISASI DAN KOMITMEN ORGANISASI JAMA’AH NW DI LOMBOK TIMUR
Authors: Huspiani Huspiani , Hadiyati Ernani , Muawanah Umi
Published: March 2024

The aim of the research is to analyze and explain the influence of charismatic leadership style and organizational culture on organizational commitment of the Nahdlatul Wathan congregation in the district. East Lombok. The population in this research is all people in East Lombok who claim or declare themselves to be citizens or congregations of Nahdatul Wathan (NW). with purposive and random sampling techniques, the number of samples in this study was 211 respondents. This type of research is causal associative research which aims to analyze the relationship between one variable and other variables. The research results show: 1). Charismatic Leadership Style has a variably positive influence on Organizational Commitment, 2). And Organizational Culture has a variably positive influence on Organizational Commitment and is significant, 3.) Charismatic Leadership Style and Organizational Culture are simultaneously positive on Organizational Commitment, 4). Organizational Culture has more influence on Organizational Commitment compared to Charismatic Leadership.
KOMPETENSI, KOMPENSASI, KOMITMEN ORGANISASI DAN KINERJA PERANGKAT DESA DI KECAMATAN KERUAK LOMBOK TIMUR
Authors: Luksanti Nirmala Rahayu , Hadiyati Ernani , Muawanah Umi
Published: March 2024

The aim of this research is to examine and analyze the influence of competence, compensation and organizational commitment on the performance of village officials in Keruak District, East Lombok Regency. The data analysis technique uses multiple linear regression. The results of the analysis show that simultaneously it has a significant influence on the performance of village officials. Partially, the variables of competence and organizational commitment each have a significant positive influence on the performance of village officials. Meanwhile, the compensation variable has no influence on the performance of village officials in Keruak District, East Lombok Regency. The coefficient of determination value on the adjusted R square was obtained at 30.1%. This means that 30.1% of the performance of village officials in Keruak District, East Lombok Regency is influenced by the variables of competency, compensation and organizational commitment.
New options in drug discovery: Endophyte technology
Authors: Ifeoma Sandra Asogwa  , Christopher Osita Eze  , Anthony Ikechukwu Onah  , Chukwuemeka Anthony Agbo  , Somtochukwu Amuche Evurani  , Anthony Amaechi Attama
Published: March 2024

Antimicrobial discovery has traditionally focused on sources from plants, animals and microorganisms. However, with the reoccurring incidences of multidrug-resistant organisms (MDROs) towards the in-use antibiotics and the problem of over- exploration of plants that is heavily altering the ecosystem, the need for other sustainable means of acquiring novel drugs becomes imperative. In a bid to ameliorate these issues, researchegrs have resorted to the use of some endosymbiotic microorganisms, known as endophytes. These are microorganisms inhabiting the internal part of plants, which have been verified to possess great potentials to bioengineer novel products, for therapeutic purposes. The discovery of endophytic microorganisms has come with so many promises of alleviating the challenges of an increasingly daunting multidrug- resistant strain of pathogenic microbes, which have become a global issue in health care delivery. They can be harnessed and utilized in the generation of active ingredients for drug production, instead of the incessant cutting down or harvesting of plants or plant parts, which destroys nature, resulting in global warming and world climate problems. This systematic review is on endophytic technology as a new alternative in drug discovery.
Emotion analysis based on belief of targeted individual supporting insider threat detection
Authors: Jason Slaughter  , Carole E. Chaski  , Kellep Charles
Published: March 2024

Unintentional Insider Threat is the concept that an insider threat event may occur unintentionally versus maliciously. Individuals who believe they are being targeted may be at increased risk of being insider threats. Based on a previous survey titled A Survey of Unintentional Medical Insider Threat Category, it was found that both medical and psychological problems may lead to feeling targeted. It was further found that Insider Threat programs should be updated to include trained personnel in both medicine and psychology in addition to cybersecurity to address the risk.
The role of AI-enhanced tools in overcoming socioeconomic barriers in education: A conceptual analysis
Authors: Chima Abimbola Edeni  , Olabisi Oluwakemi Adeleye  , Idowu Sulaimon Adeniyi
Published: March 2024

This conceptual analysis explores the transformative potential of AI-enhanced tools in addressing socioeconomic barriers within the educational landscape. By leveraging artificial intelligence (AI) technologies, the paper aims to examine how such tools can mitigate disparities arising from economic, social, and cultural factors. Through a critical analysis, it seeks to elucidate the role of AI in promoting equitable access, enhancing learning outcomes, and fostering inclusivity in education. The executive summary encapsulates the essence of the conceptual analysis. It provides a concise overview of the paper's objectives, methodology, expected outcomes, and implications. In recent years, the intersection of artificial intelligence (AI) and education has garnered significant attention as a potential solution to address persistent socioeconomic barriers within the educational landscape. The executive summary outlines the imperative to explore how AI-enhanced tools can serve as transformative agents in mitigating disparities arising from economic, social, and cultural factors. By leveraging AI technologies, educators and policymakers have the opportunity to revolutionize traditional educational practices and foster more inclusive learning environments. The summary highlights the urgent need to examine the role of AI in promoting equitable access, enhancing learning outcomes, and fostering inclusivity across diverse socioeconomic backgrounds. Through a critical analysis of existing literature, case studies, and empirical research, the conceptual analysis seeks to elucidate the potential of AI to bridge the digital divide and advance educational equity. It emphasizes the importance of identifying actionable strategies and best practices for leveraging AI technology to address systemic inequalities in education.
Saberes de professoras
Authors: Santos Edvan de Souza , Pereira Aurea da Silva
Published: March 2024

Discutir conceitos e perspectivas sobre a deficiência, mesmo com tantos avanços, ainda é um “tabu” social. E quando essa discussão envereda pelos caminhos da educação torna-se ainda mais complexo, já que os olhares e práticas aplicadas, mesmo com tantas diretrizes, leis, regimentos, decretos e prerrogativas, devem ser individuais, atendendo as subjetividades de cada sujeito. Diversos autores sociais são inseridos nesse processo, além da pessoa com deficiência, mas também a família, os gestores escolares e as professoras e professores. Desta forma, a presente pesquisa busca, através do olhar das professoras, conhecer o funcionamento da educação especial, na perspectiva da educação inclusiva, em uma escola da rede municipal de Alagoinhas, agenciando uma escuta sensível das envolvidas nesse processo. A pesquisa tem como problema a seguinte questão: Em que medida se dá a o funcionamento da educação especial, na vertente da educação inclusiva, no ambiente escolar? Para responder esse questionamento, optamos pela realização de uma investigação de abordagem qualitativa, com ênfase no método (auto) biográfico, tendo a entrevista narrativa como instrumento de pesquisa e documental, com a exploração de documentos oficiais que “estruturam” a educação inclusiva nas escolas. Na construção do embasamento teórico recorremos aos autores, Aranha (2001), Barthes (1981), Cruz (2009), Foucault (1979;2008), Minayo (2011), Oliveira (2016), Pereira (2015;2018) entre outros. Como principais resultados após análise de dados, podemos destacar: dificuldades da aplicabilidade das políticas nas realidades escolares, além das dificuldades no processo de formação docente para a educação especial. Desse modo, buscamos dar visibilidade as histórias de vida das docentes, revelando as dificuldades, retrocessos, sucessos e expectativas. Ao analisar como ocorre o funcionamento da educação especial, na vertente da educação inclusiva, através do olhar das colaboradoras da pesquisa, podemos compreender a aplicabilidade e efetividade das práticas profissionais, frente a este objeto.
ATP1A3-alternating hemiplegia
Authors: Afanasyeva M. P. , Belousova E. D. , Sharkov A. A.
Published: March 2024

Alternating hemiplegia (AH) is a rare and little researched disease. AH is characterized with early episodes of hemiplegia (from a few minutes to a few days), abnormal movements and cognition, and probable development of neurological defi ciency. Studies of genetic basis have led to discovery of mutations in gen ATP1A3, which codes alfa-3 subunit of Na+/K+-ATPase. For research, genetic data are considered most important prognostic information. Its diagnostics is diffi cult due to similarity of some symptoms to epilepsy and absence of deviations at neuro-visualisation. This article is an attempt to generalize world scientifi c experience and to determine most important research derections.
In-hospital ischemic stroke in ophthalmic patients
Authors: Kolomentsev S. V. , Voznjouk I.  A. , Shermatyuk E. I. , Kolomentseva A. V. , Polezhaev P. A. , Yaroslavtseva M. S. , Kirpichenko A. A. , Tsygan N.  V. , Litvinenko I. V.
Published: March 2024

Justifi cation. Due to the high prevalence of diseases of the visual organs (cataracts, glaucoma, etc.) and the large number of surgical interventions performed annually in elderly and senile people, the prevention of in-hospital ischemic stroke (IHS) is an urgent task.

The purpose of the work. To study the risk factors of development, characteristics of care and outcomes of IHS in ophthalmic patients.

Material and methods. The study was performed in the period from 01.01.2022 to 31.12.2022 on the basis of ophthalmological departments specializing in the performance of planned vitreoretinal surgical interventions, two large multidisciplinary hospitals in St. Petersburg.

Results. It has been established that perioperative ischemic stroke (included in the structure of the IHS) is a rare complication of minimally invasive ophthalmic operations. Its share was 0.07% (n = 5) of the total number of patients who underwent elective ophthalmological intervention during the year; the total share of patients with IHS (taking into account 4 cases of ischemic stroke in the preoperative period) was 0.13%. Most strokes (n = 5; 55.6%) belonged to the cardioembolic subtype, the proportion of using reperfusion techniques was high and amounted to 33.3% (2 endovascular interventions, 1 systemic thrombolysis); the proportion of adverse outcomes was 22.2% (n = 2). A distinctive characteristic of patients with IHS was a combination of high comorbidity with insuffi  cient antithrombotic prophylaxis, which consisted in the cancellation of antiplatelet agents and anticoagulants in the preoperative period.

Conclusion. Current recommendations on perioperative management of patients indicate the need to continue taking antiplatelet and anticoagulant drugs for most ophthalmic operations, due to the predominance of threats of thromboembolic complications over the risk of retrobulbar bleeding.
Plausible alternative future of mangroves and their ecosystem services: Case studies from Asia-Pacific region
Authors: Hashimoto Shizuka , Dasgupta Rajarshi , Saito Osamu , Johnson Brian Alan , Takahashi Yasuo , Kumar Pankaj , Yoshida Takehito , Huang Wanhui , B. Mathur Vinod , Talukdar Goutam , Ghosh Sonali , Nath Anukul , Joshi Chitiz , Pujari Paras , Dhyani Shalini , Kadaverugu Rakesh , Peng Lipei , Macandog Damasa , Robaigau Apolosa
Published: March 2024

Over the past few decades, Scenario analysis emerged as a useful tool for environmental decision-making amidst multiple uncertainties. Using the influential drivers of change, Scenarios portray the range of plausible alternative futures useful for quantifying the synergies and trade-offs of vital ecosystem services across multiple development trajectories. In this research, we demonstrate two case examples of the application of Scenarios in quantifying current and future mangrove ecosystem services. The case studies are selected from two representative sites: Tamsui River Estuary in Taiwan and Bhitarkanika mangroves in Odisha, India. Using the combination of Land Change Modeller (LCM) and InVEST ecosystem services simulation Tool, the research demonstrates the application and use of spatially explicit Scenarios for mangroves’ current and future conservation. As such, the case studies identify an ameliorative way of future planning, particularly with respect to the eco-sensitive development of coastal regions and small islands.
Strategi Penyelesaian Pembiayaan Bermasalah Pada Bank Syariah
Authors: Amelia Lili , Syahpawi Syahpawi , Nurnasrina Nurnasriana
Published: March 2024

Tujuan – Tujuan daripada penulisan ini untuk memahami pembiyaan bermasalah padaperbankkan syariah, beserta bagaimana cara menanganinya.
Metode – Metode penulisannya yaitu kualitatif literatur, dengan mengumpulkan referensi dari literatur serta undang –undang dan peraturan pemerintah mengenai perbankkan.
Hasil – Penelusuran menunjukkan bahwa pembiayaan bermasalah pada bank syariah dapat merugikan pendapatan dan kontribusi nasional. Penanggulangan dapat dilakukan oleh bank sendiri dengan pendekatan persuasif, termasuk tahapan seperti debt collector, Kantor Lelang, badan peradilan (al-qadha), badan arbitrase (tahkim), dan Direktorat Jenderal Piutang dan Lelang Negara (DJPLN) untuk bank-bank BUMN."
Originalitas (Novelty) – sebelumnya penelitian ini juga telah dilakukan oleh Aye Sudarto tahun 2020 membahas mengenai Penyelesaian Pembiayaan Bermalah Pada Lembaga Keuangan Syariah Studi BMT Al Hasanah Lampung Timur yang dimana menjadi pembaharuan dari penelitian sebelumnya ialah pada penelitian ini sama-sama meneliti mengenai pembiayaan bermasalah pada lembaga keuangan syariah, yang menjadi perbedaanya ialah terletak pada lokasi penelitian serta permasalahan pada kedua penelitian ini.
Implikasi – implikasi dari penelitian ini secara teoritis berdasarkan hasil penelitian Dapat dijadikan sebagai bahan evaluasi mengenai bagaimana menangani pembiayaan bermasalah pada Bank Syariah sesuai aturan yang telah berlaku. Sedangkan secara praktis dapat digunakan sebagai bahan informasi peneliti lainnya dengan permasalahan yang sama. Dapat dijadikan sebagai bahan referensi dalam meningkatkan wawasan dan dapat menunjang perkembanagn ilmu penegtahuan.
Legal Protection For Sharia Banking Customers
Authors: Lu'luul Karimah Luluk , Syahpawi Syahpawi , Nurnasrina Nurnasrina
Published: March 2024

Abstrak
Tujuan: Penelitian ini bertujuan untuk menganalisis perlindungan hukum yang diberikan kepada nasabah perbankan syariah dalam kerangka hukum yang berlaku. Tujuan utama penelitian ini adalah untuk mengidentifikasi kejelasan dan keefektifan kerangka hukum yang mengatur transaksi perbankan syariah, melibatkan analisis terhadap aspek-aspek seperti transparansi, hak dan kewajiban nasabah, serta penanganan sengketa.
Metode – Penelitian ini menggunakan metode library research untuk mendalami dan menganalisis perlindungan hukum terhadap nasabah perbankan syariah.
Hasil –
Hasil penelitian menunjukkan bahwa perlindungan hukum terhadap nasabah perbankan syariah memiliki peran krusial dalam menjaga keadilan dan keamanan transaksi finansial berbasis syariah. Ditemukan bahwa kerangka regulasi yang jelas dan proaktif diperlukan untuk memberikan kepastian hukum bagi nasabah, sekaligus mendorong pertumbuhan sektor perbankan syariah. Selain itu, perlindungan hukum terhadap nasabah juga perlu mencakup mekanisme penyelesaian sengketa yang efektif dan efisien, guna meminimalkan potensi ketidakharmonisan antara pihak-pihak yang terlibat.
Originalitas (Novelty) - Penelitian ini memfokuskan perhatian pada hukum serta hak dan kewajiban nasabah dalam kerangka perlindungan hukum terhadap nasabah perbankan syariah.
Implikasi – Penelitian ini memiliki implikasi praktis yang berpotensi meningkatkan perlindungan nasabah perbankan syariah melalui perbaikan kebijakan dan prosedur, mencakup perluasan mekanisme penyelesaian sengketa yang dapat diakses dengan mudah oleh nasabah, seiring dengan promosi transparansi dan edukasi kepada mereka tentang hak dan kewajiban mereka dalam transaksi perbankan syariah. Sementara juga memberikan kontribusi teoritis terhadap pemahaman lebih dalam tentang dimensi hukum dalam konteks perbankan syariah.
РОЛЬ ВЧИТЕЛЯ-ЛОГОПЕДА У ПСИХОЛОГО-ПЕДАГОГІЧНОМУ СУПРОВОДІ ДІТЕЙ ДОШКІЛЬНОГО ВІКУ З ТЯЖКИМИ ПОРУШЕННЯМИ МОВЛЕННЯ
Authors: Цегельник Тетяна , Поліщук Віра
Published: March 2024

Проблематика тяжких порушень мовлення (ТПМ) у дошкільнят позиціонується однією з найактуальніших для сучасних закладів дошкільної освіти, адже мовленнєва діяльність виступає базисом процесу набуття знань та загального розвитку в цілому. Своєчасна ідентифікація порушень мовленнєвої діяльності, ефективне дослідження їх особливостей, диференціація ТПМ ідентифікуються основою системи логопедичної роботи. Метою роботи є аналітика функціоналу вчителя-логопеда в команді психолого-педагогічного супроводу дітей  дошкільного віку з ТПМ. У процесі досягнення цілей дослідження було використано ряд загальнонаукових методів дослідження, зокрема, методи аналізу, синтезу, абстрагування, індукції та дедукції, конкретизації та формалізації, порівняння. У дослідженні доведено безпрецедентну роль вчителя-логопеда в межах психолого-педагогічного супроводу дітей з ТПМ з метою їх успішної соціальної інтеграції. Виокремлено можливі наслідки для процесу психічного розвитку дітей, зумовлені ТПМ, обґрунтовано важливість їх усвідомлення у ході реалізації психолого-педагогічного супроводу дітей окресленої категорії у закладі дошкільної освіти. Встановлено, що роль логопеда у супроводі дітей дошкільного віку з тяжкими мовленнєвими порушеннями включає етапи діагностичної та корекційної роботи не лише безпосередньо з дитиною, але, також, з її оточенням. У процесі дослідження доведено, що, маючи на меті успішну інтеграцію дитини з ТПМ у суспільне середовище, необхідно на ранньому етапі розвитку ефективно діагностувати специфічні аспекти її психічного розвитку, котрі значно ускладнюють проблематику в мовленнєвій сфері, а також надавати спеціалізовану професійну допомогу дитині.
How multistakeholder governance can shape reponsible AI
Authors: Braga Juliao , Stiubiener Itana , Henriques Percival , Cananea Helena
Published: March 2024

This paper introduces a unique approach to AI overnance, drawing inspiration from the successful multitakeholder model of Internet governance. This model balances innovation, accessibility, and ethics, providing a valuable framework for AI development and deployment. Internet governance has fostered a diverse digital landscape, promoting global connectivity, economic growth, and social progress through collaboration among governments, industry leaders, civil society, and technical experts. This paper advocates for adapting this approach to AI governance, prioritizing responsible development and human well-being. Like Internet governance, AI governance should extend beyond algorithms and data to address ethical concerns, human rights impacts, and environmental sustainability. The paper explores how Internet governance principles can mitigate AI risks, including algorithmic bias and discrimination. By leveraging the successes and lessons of Internet governance, we can navigate the complex AI landscape towards a future where AI benefits humankind. The paper further discusses the potential of applying Internet governance frameworks to AI, highlighting future challenges and opportunities. It proposes steps to establish a collaborative and effective AI governance model, ensuring that AI continues to drive positive progress.
Method of the corrected distance for the valuation of real estate
Authors: Chacón Mateos Manuel
Published: March 2024

This article presents a novel valuation model by market comparison that requires a minimum application of criteria by the appraiser, thus seeking the highest degree of objectivity possible. The premise that supports the model is that the price differences observed between comparable assets of the same market must be proportional to the dissimilarities (distances) between those same assets, but it shows that not every distance implies a price gap, so a corrected distance is used. The solution of the model requires the use of non-linear programming, and an example shows that the results are very similar to those obtained by applying Goal Programming, which is another optimization method applicable to the valuation of real estate.
Effect of moral stereotypes on the formation and persistence of group preferences
Authors: Rösler Inga K. , Kerber Isabel , Amodio David
Published: March 2024

Do stereotypes have a stronger and more persistent effect on impressions when they are moral in tone? In two experiments (N = 187), participants interacted with members of two groups in an interactive social decision task. Prior to the task, participants were exposed to positive or negative group stereotypes that were moral or nonmoral in content. Although players from each group were, on average, equally likely to provide reward feedback, participants formed choice preferences for players from positively-stereotyped over negatively-stereotyped groups. Importantly, this effect was stronger and more resistant to change when stereotypes contained moral content. Computational modeling indicated that moral stereotypes induced more extreme initial reward expectancies and influenced how reward associations were updated over time. Additionally, moral stereotypes generalized more strongly to subsequent evaluations of novel group members, suggesting that the biasing effect of moral stereotypes on learning contributed to group-level prejudice.
Use of the Patient Generated Index to Identify Physical Health Challenges Among People Living with HIV: A Cross-Sectional Study
Authors: Quigley Adria , Brouillette Marie-Josée , Fellows Lesley , Mayo Nancy
Published: March 2024

Many people living with HIV experience physical health challenges including mobility problems, pain, and fatigue.

Purpose:

To estimate how many people living with HIV identify physical health challenges as important using the patient generated index (PGI). Secondary Objectives: (1) Identify factors associated with reporting physical health challenges; (2) Identify relationships between reporting physical health challenges and standardized health-related quality of life (HRQOL) items; and (3) Estimate the extent to which reporting a physical health challenge explains downstream HRQOL outcomes.

Method:

Cross-sectional data came from a large Canadian cohort. We administered the PGI and three standardized HRQOL measures. PGI text threads were coded according to the World Health Organization's International Classification of Functioning, Disability, and Health. Regression, discriminant analysis, and chi-square tests were used.

Results:

Of 865 participants, 248 [28.7%; 95% CI (25.7%, 31.8%)] reported a physical health challenge on the PGI. Participants with better pain (OR: 0.81, 95% CI: 0.71, 0.90) and vitality (OR: 0.71, 95% CI: 0.63, 0.80) by 20 points had lower odds of reporting a physical health challenge. Those who reported a physical health challenge had significantly lower HRQOL on some standardized items.

Conclusions:

The PGI is well-suited to identify the physical challenges of people living with HIV.
INFLUÊNCIA DA ALTITUDE EM CAFÉS PRODUZIDOS NA SERRA DA CANASTRA UTILIZANDO MODELOS COM COVARIÂNCIAS ESPACIAIS
Authors: Calcagnoto Laryssa Ribeiro , Del Rocío Rebaza Fernández Diana , Ângelo Cirillo Marcelo , Ramos Alves Helena Maria , Meira Borém Flávio
Published: March 2024

Este estudo investiga a qualidade sensorial dos cafés produzidos na região da Serra da Canastra, em Minas Gerais, Brasil, considerando a influência da altitude e métodos de processamento. Utilizando um modelo linear misto, que incorpora efeitos aleatórios e fixos, analisou-se a nota final atribuída na análise sensorial dos cafés. O objetivo foi avaliar a estrutura de correlação espacial no modelo, considerando a pontuação final > 83 pontos. Os resultados indicaram que o modelo com a estrutura de correlação espacial obtida por meio do semivariograma exponencial proporcionou uma melhor explicação para as variações entre as unidades. Isso sugere que a variabilidade espacial desempenha um papel importante na determinação da qualidade sensorial dos cafés, particularmente em relação à pontuação final na análise sensorial. Este estudo destaca a relevância dos modelos mistos na análise sensorial de cafés, especialmente quando consideram a estrutura de correlação espacial.
 Palavras-chave: análise sensorial; modelo linear misto; correlação espacial.
 
Influence of altitude on coffee quality in the Serra da Canastra region: spatial analysis with a mixed model
 
ABSTRACT: This study investigates the sensory quality of coffee produced in the Serra da Canastra region of Minas Gerais, Brazil, considering the influence of altitude and processing methods. Using a mixed linear model that incorporates random and fixed effects, the final score assigned in the sensory analysis of the coffees was analyzed. The objective was to evaluate the spatial correlation structure in the model, considering the final score > 83 points. The results indicated that the model with the spatial correlation structure obtained through the exponential semivariogram provided a better explanation for the variations among the units. This suggests that spatial variability plays an important role in determining the sensory quality of coffees, particularly concerning the final score in sensory analysis. This study highlights the relevance of mixed models in the sensory analysis of coffees, especially when considering spatial correlation structure.
Keywords: sensory analysis; mixed linear model; spatial correlation.
The application of positive psychology in English learning for students of MTsN 3 Sleman
Authors: Faraz Faraz , Anisa Dian Dwi , Ramadhani Dwiansari
Published: March 2024

This community service (PkM) aims to introduce the concept of Positive Psychology (PP) theory into English learning classroom to junior high school students. The method used is through direct teaching and training in the classroom over the course of four meetings. The teaching is carried out in several sessions consisting of material delivery on psychological factors of learning, easy steps to write, the application of positive psychology in relation to learning English, and the theory of writing in English. The teaching series was attended by grade 8 students at MTsN 3 Sleman whose English language skills were relatively low. The result obtained from this community service is that students can apply positive psychology theory in classroom by writing a gratitude journal as the main outcome.
Персоналізація як стратегія лояльності в електронній комерції
Authors: КОНОПЛЯННИКОВА Маріанна
Published: March 2024

Проведено комплексне дослідження впливу стратегій персоналізації в електронній комерції на лояльність клієнтів. Елект­ронна комерція стала важливим сегментом бізнесу, і важливо усвідомити, як персоналізація може впливати на поведінку та лояльність клієнтів. Проаналізовано різні аспекти персоналізації, включно з індивідуалізованими рекомендаціями, персоналі­зованими пропозиціями й адаптивним веб­дизайном. Конкуренція в електронній комерції росте, і компанії шукають способи виокремитися та привернути й утримати клієнтів. Висунуто гіпотезу, що чим вищий рівень персоналізації, тим більше клієнтів стають лояльними бренду. Методологія містить комбінований підхід, поєднуючи кількісні дані з анкетування та якісний аналіз інтервʼю. Отримані результати підтверджують, що компанії, які успішно впроваджують персо­налізацію, спостерігають зростання лояль­ності своїх клієнтів.
Optimal convergence rate for homogenization of convex Hamilton–Jacobi equations in the periodic spatial-temporal environment
Authors: Nguyen-Tien Hoang
Published: March 2024

We study the optimal convergence rate for the homogenization problem of convex Hamilton–Jacobi equations when the Hamitonian is periodic with respect to spatial and time variables, and notably time-dependent. We prove a result similar to that of (Tran and Yu (2021)), which means the optimal convergence rate is also O ( ε ).
Effective medium theory for second-gradient elasticity with chirality
Authors: Nika Grigor , Muntean Adrian
Published: March 2024

We derive effective models for a heterogeneous second-gradient elastic material taking into account chiral scale-size effects. Our classification of the effective equations depends on the hierarchy of four characteristic lengths: The size of the heterogeneities ℓ, the intrinsic lengths of the constituents ℓ SG and ℓ chiral , and the overall characteristic length of the domain L. Depending on the different scale interactions between ℓ SG , ℓ chiral , ℓ, and L we obtain either an effective Cauchy continuum or an effective second-gradient continuum. The working technique combines scaling arguments with the periodic homogenization asymptotic procedure. Both the passage to the homogenization limit and the unveiling of the correctors’ structure rely on a suitable use of the periodic unfolding operator.
Novel high-resolution contrast agent ultrasound techniques HiFR CEUS and SR CEUS in combination with shear wave elastography, fat assessment and viscosity of liver parenchymal changes and tumors
Authors: Jung Ernst Michael , Kaiser Ulrich , Herr Wolfgang , Stroszczynski Christian , Jung Friedrich
Published: March 2024

BACKGROUND: The continuous development of ultrasound techniques increasingly enables better description and visualization of unclear lesions. New ultrasound systems must be evaluated with regard to all these diagnostic possibilities. METHODS: A multifrequency C1-7 convex probe (SC7-1M) with the new high-end system Resona A20 Series was used. Modern technologies, including HiFR CEUS, SR CEUS and multimodal tissue imaging with shear wave elastography (SWE), fat evaluation and viscosity measurements (M-Ref) were applied. RESULTS: Of n = 70 (mean value 48,3 years±20,3 years, range 18–84 years) cases examined, a definitive diagnosis could be made in n = 67 cases, confirmed by reference imaging and/or follow-up. Of these, n = 22 cases were malignant changes (HCC (hepatocellular carcinoma) n = 9, CCC (cholangiocellular carcinoma) n = 3, metastases of colorectal carcinomas or recurrences of HCC n = 10). In all 12 cases of HCC or CCC, the elastography measurements using the shear wave technique (with values >2 m/s to 3.7 m/s) showed mean values of 2.3±0.31 m/s and a degree of fibrosis of F2 to F4. In n = 14 cases, changes in the fat measurement (range 0.51 to 0.72 dB/cm/MHz, mean values 0.58±0.12 dB/cm/MHz) in the sense of proportional fatty changes in the liver were detected. In the 4 cases of localized fat distribution disorders, the values were >0.7 dB/cm/MHz in the sense of significant fatty deposits in the remaining liver tissue. Relevant changes in the viscosity measurements with values >1.8 kPa were found in n = 31 cases, in n = 5 cases of cystic lesions with partially sclerosing cholangitis, in n = 13 cases of malignant lesions and in n = 9 cases post-interventionally, but also in n = 4 cases of benign foci with additional systemic inflammation. CONCLUSIONS: The results are promising and show a new quality of ultrasound-based liver diagnostics. However, there is a need for further investigations with regard to the individual aspects, preferably on a multi-center basis.
The Hippocampal Subfield Volume Reduction and Plasma Biomarker Changes in Mild Cognitive Impairment and Alzheimer’s Disease
Authors: Cao Jing , Tang Yating , Chen Shujian , Yu Siqi , Wan Ke , Yin Wenwen , Zhen Wenhui , Zhao Wenming , Zhou Xia , Zhu Xiaoqun , Sun Zhongwu
Published: March 2024

Background:

The hippocampus consists of histologically and functionally distinct subfields, which shows differential vulnerabilities to Alzheimer’s disease (AD)-associated pathological changes.

Objective:

To investigate the atrophy patterns of the main hippocampal subfields in patients with mild cognitive impairment (MCI) and AD and the relationships among the hippocampal subfield volumes, plasma biomarkers and cognitive performance.

Methods:

This cross-sectional study included 119 patients stratified into three categories: normal cognition (CN; N = 40), MCI ( N = 39), and AD ( N = 40). AD-related plasma biomarkers were measured, including amyloid-β (Aβ)42, Aβ40, Aβ42/Aβ40 ratio, p-tau181, and p-tau217, and the hippocampal subfield volumes were calculated using automated segmentation and volumetric procedures implemented in FreeSurfer.

Results:

The subiculum body, cornu ammonis (CA) 1-head, CA1-body, CA4-body, molecular_layer_HP-head, molecular_layer_HP-body, and GC-ML-DG-body volumes were smaller in the MCI group than in the CN group. The subiculum body and CA1-body volumes accurately distinguished MCI from CN (area under the curve [AUC] = 0.647–0.657). The subiculum-body, GC-ML-DG-body, CA4-body, and molecular_layer_HP-body volumes accurately distinguished AD from MCI (AUC = 0.822–0.833) and AD from CN (AUC = 0.903–0.905). The p-tau 217 level served as the best plasma indicator of AD and correlated with broader hippocampal subfield volumes. Moreover, mediation analysis demonstrated that the subiculum-body volume mediated the associations between the p-tau217 and p-tau181 levels, and the Montreal Cognitive Assessment and Auditory Verbal Learning Test recognition scores.

Conclusions:

Hippocampal subfields with distinctive atrophy patterns may mediate the effects of tau pathology on cognitive function. The subiculum-body may be the most clinically meaningful hippocampal subfield, which could be an effective target region for assessing disease progression.
Multi scale encoder-decoder network with Time Frequency Attention and S-TCN for single channel speech enhancement
Authors: Parisae Veeraswamy , Nagakishore Bhavanam S.
Published: March 2024

The goal of speech enhancement is to restore clean speech in noisy environments. Acoustic scenarios with low signal-to-noise ratios (SNR) make it quite challenging to extract the target speech from its noise. In the current study, to enhance noisy speech, we propose a feature recalibration based multi-scale convolutional encoder-decoder architecture with squeeze temporal convolutional networks (S-TCN) bottleneck. Each multi-scale convolutional layer in encoder and decoder is followed by time-frequency attention module (TFA). The recalibration based multi-scale 2D convolution layers are used to extract local and contextual information. Additionally, the recalibration network is equipped with a gating mechanism to control the flow of information among the layers, enabling weighting of the scaled features for noise suppression and speech retention. The fully connected layer (FC) in the bottleneck part of encoder-decoder contains a few neurons, which capture the global information from the multi-scale 2D convolution layer and reduce parameters. A S-TCN, inspired by the popular temporal convolutional neural network (TCNN), is inserted between the encoder and the decoder to model long-term dependencies in speech. The TFA is a highly efficient network component, that operates through two simultaneous attentions, one focused on time frames, and the other on frequency channels. These attentions work together to explicitly exploit positional information to create a two-dimensional attention map to effectively capture the significant time-frequency distribution of speech. Utilizing the common voice dataset, our proposed model consistently enhances results compared to the current benchmarks, as demonstrated by two extensively utilized objective measures PESQ and STOI. The proposed model shows significant improvements, with average PESQ and STOI scores increasing by 45.7% and 23.8% respectively for seen background noises, and by 43.5% and 21.4% for unseen background noises, when compared to the quality of noisy speech. Tests validate that the proposed approach outperforms numerous cutting-edge algorithms.
RETRACTED: Object pose estimation method for robotic arm grasping
Authors: Huang Cheng , Hou Shuyu
Published: March 2024

This article has been retracted. A retraction notice can be found at https://doi.org/10.3233/JIFS-219433.
Adaptive solar power generation forecasting using enhanced neural network with weather modulation
Authors: Sujeeth T. , Ramesh C. , Palwe Sushila , Ramu Gandikota , Basha Shaik Johny , Upadhyay Deepak , Chanthirasekaran K. , Sivasankari K. , Rajaram A.
Published: March 2024

Solar power generation forecasting plays a vital role in optimizing grid management and stability, particularly in renewable energy-integrated power systems. This research paper presents a comprehensive study on solar power generation forecasting, evaluating traditional and advanced machine learning methods, including ARIMA, Exponential Smoothing, Support Vector Regression, Random Forest, Gradient Boosting, and Physics-based Models. Moreover, we propose an innovative Enhanced Artificial Neural Network (ANN) model, which incorporates Weather Modulation and Leveraging Prior Forecasts to enhance prediction accuracy. The proposed model is evaluated using real-world solar power generation data, and the results demonstrate its superior performance compared to traditional methods and other machine learning approaches. The Enhanced ANN model achieves an impressive Root Mean Square Error (RMSE) of 0.116 and a Mean Absolute Percentage Error (MAPE) of 36.26%. The integration of Weather Modulation allows the model to adapt to changing weather conditions, ensuring reliable forecasts even during adverse scenarios. Leveraging Prior Forecasts enables the model to capture short-term trends, reducing forecasting errors arising from abrupt weather changes. The proposed Enhanced ANN model showcases its potential as a promising tool for precise and reliable solar power generation forecasting, contributing to the efficient integration of solar energy into the power grid and advancing sustainable energy practices.
An novel SDA-CNN few shot domain adaptation framework for silent speech recognition
Authors: Ramkumar N. , Karthika Renuka D.
Published: March 2024

In BCI (brain-computer interface) applications, it is difficult to obtain enough well-labeled EEG data because of the expensive annotation and time-consuming data capture procedure. Conventional classification techniques that repurpose EEG data across domains and subjects lead to significant decreases in silent speech recognition classification accuracy. This research provides a supervised domain adaptation using Convolutional Neural Network framework (SDA-CNN) to tackle this problem. The objective is to provide a solution for the distribution divergence issue in the categorization of speech recognition across domains. The suggested framework involves taking raw EEG data and deriving deep features from it and the proposed feature selection method also retrieves the statistical features from the corresponding channels. Moreover, it attempts to minimize the distribution divergence caused by variations in people and settings by aligning the correlation of both the source and destination EEG characteristic dissemination. In order to obtain minimal feature distribution divergence and discriminative classification performance, the last stage entails simultaneously optimizing the loss of classification and adaption loss. The usefulness of the suggested strategy in reducing distributed divergence among the source and target Electroencephalography (EEG) data is demonstrated by extensive experiments carried out on KaraOne datasets. The suggested method achieves an average accuracy for classification of 87.4% for single-subject classification and a noteworthy average class accuracy of 88.6% for cross-subject situations, which shows that it surpasses existing cutting-edge techniques in thinking tasks. Regarding the speaking task, the model’s median classification accuracy for single-subject categorization is 86.8%, while its average classification accuracy for cross-subject classification is 87.8%. These results underscore the innovative approach of SDA-CNN to mitigating distribution discrepancies while optimizing classification performance, offering a promising avenue to enhance accuracy and adaptability in brain-computer interface applications.
Investigating the efficiency of Photo-Fenton (UV/H2O2/Fe2+) in removing the indomethacin antibiotic from aqueous solutions
Authors: Azizpour Mostafa , Ghaedi Hamed , Yengejeh Reza Jalilzadeh , Saberi Masoud
Published: March 2024

Water pollution caused by antibiotics is one of the major challenges in the world today. The current research aims to investigate the effect of the Photo-Fenton process in removing indomethacin antibiotics from aqueous solutions. This experiment-based study was conducted on a laboratory scale and discontinuous manner. The influential variables affecting the removal efficiency of indomethacin include initial antibiotic concentration, pH, time, hydrogen peroxide concentration, and iron ion. The study was conducted base on standard methods (APHA, AWWA, CFWP, 2005). The Design Expert software was used to analyze the effect of independent variables on the removal efficiency of indomethacin antibiotics in the Photo-Fenton process (UV/H2O2/Fe2+) using response surface methodology (RSM) and central composite design (CCD). To ensure the repeatability of the results, each experiment was repeated three times and the reported the average. The results showed that the optimal removal conditions for indomethacin antibiotics were pH = 4, H2O2 oxidant concentration = 50 ppm, Fe2+catalyst concentration = 50 ppm, time = 75 minutes, and initial antibiotic concentration = 20 ppm, with a removal efficiency of 91.03%. The variables of initial antibiotic concentration, H2O2 concentration, and pH had the greatest impact on the removal efficiency of indomethacin. The results of this study indicate that under optimal conditions, more than 90% of indomethacin antibiotics can be removed from aqueous solutions using the Photo-Fenton process, which is a significant result for removing this pharmaceutical pollutant from aquatic environments.
The mediating role of psychological safety on humble leadership and presenteeism in Japanese organizations1
Authors: Matsuo Akiko , Tsujita Masaki , Kita Kotoko , Ayaya Satsuki , Kumagaya Shin-ichiro
Published: March 2024

BACKGROUND: Presenteeism-induced productivity loss is a global concern. This issue is equally serious in Japan. As a “super-aged society,” maintaining and promoting Japanese employees’ health is an urgent issue. The combination of these factors makes it imperative to identify the factors that affect presenteeism and clarify the mechanisms driving these factors in Japanese organizations. OBJECTIVE: Only a few extant studies address presenteeism as a performance variable. Presenteeism can create serious productivity losses in Japan, as it is a “super-aged society.” Hence, this study aims to clarify the relationships between humble leadership, psychological safety, and presenteeism in Japanese organizations. METHODS: We hypothesized that psychological safety mediated the effect of humble leadership on presenteeism. The data of 462 employees from 11 companies were analyzed. RESULTS: The results supported our hypothesis. Additionally, leader humility, as perceived by the followers, was positively correlated with leaders’ own psychological safety in their teams. CONCLUSIONS: Our findings contribute to the existing literature by highlighting the roles of humble leadership and psychological safety in health and productivity management while accounting for cultural influences. The practical implications of our findings and future directions are also discussed.