bluuebunny/crossref_metadata_2025 huggingface dataset:
Pelatihan Keterampilan Pengelolaan Homestay bagi Pengelola dan Pemilik Homestay di Kawasan Desa Cipanas, Cianjur, Jawa Barat
Authors: Vanesa Valentina Happy , Yusuf Muhamad , Juniaty Novida , Indriani Nunik , Rahayu Sapti , Saida Yulianti , Darmawan Wendy
Published: December 2024

Kegiatan pengabdian kepada masyarakat diadakan dalam rangka upaya peningkatan kualitas pengelolaan homestay di Kawasan Desa Cipanas, Cianjur, Jawa Barat, pentingnya para pemilik dan pengelola Homestay untuk menyadari pentingnya kualitas layanan yang diberikan kepada pelanggan. Hal ini berfungsi untuk menunjang perkembangan sektor pariwisata yang berkelanjutan yang menjadi agenda dunia. Pelatihan keterampilan bagi para pemilik dan pengelola dan homestay di daerah Cipanas ini diharapkan dapat meningkatkan kualitas pelayanan, manajemen, serta keterampilan teknis dalam pengelolaan homestay. Metode yang dilakukan pada pelatihan ini yaitu Dosen dan Mahasiswa Politeknik Jakarta International Program Studi Pengelolaan Perhotelan memberikan sosialisasi pentingnya menciptakan kualitas dalam Pelayanan homestay, Kebersihan kamar, Kerapian kamar, Keramah Tamahan, Keamanan dan Pemasaran Homestay. Berdasarkan hasil survey yang dilakukan maka disimpulkan bahwa peserta sangat puas dengan pelatihan yang dilakukan dan materi yang disampaikan. Jurnal ini bertujuan untuk mengeksplorasi efektivitas pelatihan keterampilan pengelolaan homestay dalam meningkatkan kapasitas pengelola homestay dan dampaknya terhadap kepuasan wisatawan serta keberlanjutan usaha homestay yang ada di Desa Cipanas, Cianjur, Jawa Barat.
Analisis Penerapan Sistem Informasi Manajemen Rumah Sakit (SIMRS) Guna Meningkatkan Mutu Pelayanan di RSUD Cililin
Authors: Astri Astri Aprilliani , Agustina Fransiska
Published: December 2024

Tujuan penelitian ini adalah untuk mengkaji bagaimana penerapan SIMRS untuk meningkatkankualitas pelayanan di RSUD Cililin. Pelayanan kesehatan pada hakikatnya merupakan investasisumber daya manusia untuk membangun masyarakat sejahtera. Pelayanan medis rumah sakitdiperlukan untuk memelihara dan meningkatkan kesehatan individu, keluarga, kelompok, danmasyarakat, mencegah dan mengobati penyakit, serta memulihkan kesehatan. Penelitian ini dilakukansecara bertahap dalam kurun waktu tertentu. Peneliti terjun ke lapangan dan mencoba mengumpulkandata melalui wawancara langsung dan observasi. Dalam penelitian ini peneliti mendeskripsikanpenerapan sistem informasi manajemen rumah sakit untuk meningkatkan kualitas pelayanan RSSirilin. Data yang diperoleh disajikan dalam format deskriptif agar mudah dipahami jika dibandingkandengan data yang diperoleh di lapangan. Untuk memperjelas hasil akhir penelitian, peneliti juga akanmenyajikan data berupa dokumen foto. Temuan penelitian ini menunjukkan bahwa implementasisistem informasi manajemen di RSUD Cililin sudah sangat baik dan menyimpulkan bahwa informasimanajemen adalah semua sistem yang mempengaruhi proses bisnis baik pelayanan maupun pelayanan.Proses pelaporan dilakukan oleh pasien dan pegawai RSUD Cililin. Sistem informasi manajemenrumah sakit juga memegang peranan penting dalam pelaksanaan proses yang dilakukan olehpelayanan di dalam suatu rumah sakit. Sebagaimana disampaikan oleh pelapor, rumah sakitdiwajibkan oleh Kementerian Kesehatan sendiri untuk menerapkan sistem informasi manajemenrumah sakit untuk mengatur prosedur dan proses pelayanan yang ada di Rumah Sakit Daerah Cililin.
Determinasi Keputusan Berinvestasi pada Generasi Sandwich di Surakarta dengan Literasi Keuangan Sebagai Variabel Moderasi
Authors: Octavia Dewi Ika , Saputra Era Trianita , Susanti Ari , Sari Leni Nita
Published: December 2024

Penulis melakukan penelitian ini dengan tujuan mengetahui pengaruh pendapatan, persepsi risiko terhadap keputusan berinvestasi pada generasi sandwich di Surakarta dengan literasi keuangan sebagai variabel moderasi. Penelitian ini termasuk penelitian kuantitatif dimana generasi sandwich di Surakarta menjadi objek penelitiannya. Pengumpulan data dengan cara membagikan kuesioner  kepada responden yang diambil dengan memperhatikan beberapa kriteria yang menunjukkan bahwa responden tersebut merupakan generasi sandwich. Pengambilan sampel menggunakan Lemeshow karena jumlah populasi tidak dapat diketahui. Metode analisis data Structural Equation Modeling-Partial Least Square (SEM-PLS) menggunakan program SmartPLS 4.0. Hasil penelitian ini memperlihatkan bahwa pendapatan dan literasi keuangan berpengaruh positif terhadap keputusan berinvestasi, namun persepsi risiko tidak berpengaruh positif terhadap keputusan berinvestasi. Literasi keuangan tidak berhasil memoderasi pengaruh positif pendapatan, persepsi risiko terhadap keputusan berinvestasi pada generasi sandwich di Surakarta.
Ebû İshâk eş-Şîrâzî’ye Göre Fiilî Sünnet ve Delâleti
Authors: Deniz Şakir
Published: December 2024

Hadis usulü eserlerinde fiilî sünnet kavramıyla ifade edilen Hz. Peygamber’in (s.a.s.) fiilleri, fıkıh usulünde ef‘âlu’r-Resûl kavramıyla ele alınmaktadır. Hz. Peygamber’e aidiyetinin tespit edilmesi açısından kavlî ve takrîrî sünnetle aynı kriterlere sahip olan fiilî sünnet, delâletinin tespiti açı-sından farklı olmaktadır. Bu farklılık ilk dönemden itibaren İslam âlimleri tarafından tartışıla gelmiştir. Bu âlimlerden biri olan Ebû İshâk eş-Şîrâzî (ö. 476/1083), günümüze ulaşan ilk usûlü fıkıh eserlerinden bir kısmının müellifi olması hasebiyle onun fiilî sünnetin delâletiyle ilgili gö-rüşleri önem arz etmektedir. Konuya dair ihtilafları eserlerinde Ef‘âlu’r-Resûl başlığı altında zik-reden Şîrâzî, tercih ettiği görüşleri naklî ve aklî delillerle savunmuş; karşıt görüşleri eleştirmiştir. Ona göre fiilî sünnet, delâlet açısından ibadet maksadıyla yapılan ve ibadet maksadıyla yapılma-yan olmak üzere iki türlüdür. İbadet maksadıyla yapılan fiiller ise bir emre ittibâ, bir emrin beya-nı ve ibtidâi/mücerred yani yeni bir hükmün inşası maksadıyla yapılan fiiller şeklinde üç kısma ayrılır. Bu son kısımdaki fiiller, şer‘î hükmü bilinen ve şer‘î hükmü bilinmeyen olmak üzere iki şekildedir. Bu itibarla fiilî sünnetin delâlet ettiği hükümler, bu kısımlara göre değişmektedir. Bu çalışmada bunlara temas edilmiştir.
ENTREPRENEURIAL ENVIRONMENTS AND GROWTH IN PAKISTAN
Authors: Iffat Mahnoor
Published: December 2024

This study aims to assess the current state of the entrepreneurial environment in Pakistan and its significant effects on economic growth. The challenges encountered during this research process have provided valuable insights into the entrepreneurial landscape. Gratitude is extended to all those who contributed to the completion of this study. Data was collected at the national level, focusing on Karachi, to evaluate the entrepreneurial environment in the country. The results highlight the dynamic and fluctuating nature of Pakistan's early-stage entrepreneurial development, indicating lower levels of entrepreneurial activity compared to other emerging nations. Significant challenges faced by entrepreneurs include inadequate entrepreneurial training and insufficient access to physical infrastructure and services. Despite these challenges, the research identifies encouraging aspects of the entrepreneurial environment, such as supportive entrepreneurial policies and favorable conditions for entrepreneurship. These findings are crucial for policymakers in developing strategies to improve the local entrepreneurial climate and foster economic growth. It is emphasized that institutional enhancements are necessary before fully utilizing entrepreneurial resources for economic development. This study contributes to a better understanding of the entrepreneurial environment in Pakistan and provides valuable insights for policymakers and stakeholders aiming to promote entrepreneurship and drive economic growth.
ECONOMIC PROGRESS, SAVINGS PATTERNS, AND POVERTY IN SAARC NATIONS: EXPLORING THROUGH PANEL ARDL ANALYSIS
Authors: Meer Shumaila
Published: December 2024

This research investigates the interplay of financial sector development, saving mobilization, and poverty reduction efforts in the SAARC region. Utilizing strongly balanced panel data spanning from 1969 to 2020 from World Development Indicators, the study employs the Pooled Mean Group (PMG) estimation method to account for cross-sectional variations and distinguish between long-run equilibrium and short-run dynamics. The findings reveal a negative substitution effect of increased capital on broad money in the long run. Moreover, a decrease in interest rates is associated with significant growth in broad money, facilitating borrowers with affordable funds and enhancing their ability to fulfill financial obligations, both in the long and short run. The study also underscores the positive impact of the total population on the demand for money to sustain businesses in the long run. Furthermore, addressing creditworthiness concerns, the research suggests that insurance firms can play a pivotal role in mitigating credit risks for less creditworthy entrepreneurs by providing coverage for loans extended to private sectors. These insights contribute valuable perspectives on the intricate relationships between financial development, savings, and poverty alleviation in the SAARC region.
CORPORATE GOVERNANCEMODEL:APRACTICALINFERENCEAPPROACH
Authors: Mubashir Shariq , Khan M. Mubashir Qadir
Published: December 2024

Most reputable businesses rely on corporate ownership and good governance practices. Following corporate governance guidelines helps companies that support them gain a larger market share and encourages strategic company growth. Good governance relies upon the practical implication of standards and methods to control corporate fraud and corruption. Treating corporate businesses with an innovative approach is necessary to overcome bribery and its intensive control. This study highlights the family's business issues and the fraudulent practices followed for many years. The empirical analysis provides extensive support for implementing good governance practices in corporate culture and the strong implementation of audit engagement. Furthermore, this study confers with the exploratory research in relationship with the governance practices and audit control, which expanded towards the governance model. The empirical description provided by this study shows how audit engagement and independent professionalism can lead to actual productivity. In addition, secretarial audits and aerial views of the corporate sector's performance by authorities and regulatory bodies are critical in the fight against corruption
THE INTERPLAY BETWEEN CONSUMER BEHAVIOR, BRAND EQUITY, AND ECONOMIC STABILITY IN THE DIGITAL AGE
Authors: Khan Sherbaz , Haque Irfan ul , Qazi Faheem
Published: December 2024

This study explores the intricate relationships between Social Media Marketing Activities (SMAs), brand variables (awareness, image, and loyalty), and their impact on economic stability in Pakistan's digital marketplace. By analyzing data from 399 Pakistani social media users collected between March and May 2022, using Structural Equation Modeling (SEM) with Smart-PLS 3, the research examines how SMAs influence brand metrics and how these metrics, in turn, affect broader economic contexts. The findings demonstrate that SMAs—such as entertainment, engagement, trendiness, advertising, and word-of-mouth—positively affect brand awareness, image, and loyalty, creating connections that potentially influence economic stability. Specifically, significant relationships were found from brand awareness and image to brand loyalty, highlighting a tripartite interaction among the brand variables. While the study offers valuable insights, its focus on Pakistani social media users may limit its generalizability, and the rapidly changing social media landscape adds complexity to its temporal relevance. This research provides a framework for brand managers and policymakers to develop SMA strategies that enhance brand metrics and contribute to economic stability through improved consumer engagement and spending. It advances our understanding of the interplay between SMAs, brand equity, and economic outcomes in the digital age.
ANALISIS SISTEM PENDIDIKAN: PERBANDINGAN SISTEM PENDIDIKAN DI INDONESIA DAN MALAYSIA
Authors: Rajagukguk Mutiara , Susanti LR Retno , Safitri Erna Retna , Gulo Fakhili
Published: December 2024

Penelitian ini bertujuan untuk memberikan analisis komparatif yang mendalam antara sistem pendidikan di Indonesia dan Malaysia melalui pendekatan studi literatur yang menyeluruh. Dengan mengumpulkan data dari berbagai sumber seperti buku, jurnal ilmiah, dan dokumen kebijakan, studi ini menyajikan pemahaman komprehensif mengenai perbedaan dan persamaan dalam berbagai aspek penting dari kedua sistem pendidikan. Fokus utama penelitian ini meliputi analisis pada beberapa elemen kunci: pertama, struktur sistem pendidikan di Indonesia dan Malaysia; kedua, tujuan utama pendidikan di masing-masing negara yang dipengaruhi oleh konteks sosial-budaya yang berbeda; ketiga, kebijakan kurikulum yang mencerminkan pendekatan pedagogis dan prioritas pembelajaran di kedua negara; keempat, kebijakan pendidikan yang diterapkan oleh pemerintah untuk mendukung pencapaian tujuan pendidikan nasional; dan kelima, evaluasi sistem pendidikan masing-masing negara berdasarkan efektivitas dalam mencapai standar pendidikan global. Melalui kajian komparatif ini, diharapkan dapat diperoleh wawasan yang lebih mendalam tentang bagaimana setiap negara membentuk sistem pendidikannya dalam menghadapi tantangan kontemporer, sekaligus memberikan rekomendasi kebijakan yang relevan bagi pengembangan pendidikan di kawasan Asia Tenggara.
A Comparative Analysis of Machine Learning Models for Predicting Thyroid Disorders in Type 1 and Type 2 Diabetic Patients
Authors: Sayyid Hiba O. , Mahmood Salma A. , Hamadi Saad S.
Published: December 2024

Machine learning (ML) is increasingly indispensable in modern medicine, particularly for disease prediction and improving patient outcomes. This study applies ML techniques to predict thyroid disorders in diabetic patients, a critical task given the frequent co-occurrence and complex interplay between these conditions. six ML classifiers namely Random Forest (RF), Decision Tree (DT), K-Nearest Neighbors (KNN), Support Vector Machine (SVM), Logistic Regression (LR), and Naive Bayes (NB) were evaluated across three experiments on a local dataset: (1) a balanced dataset using Random Under-Sampling (RUS), (2) a subset of Type 2 diabetes (T2D) patients, and (3) a subset of Type 1 diabetes (T1D) patients. Random Forest classifier consistently outperformed other classifiers, achieving the highest accuracy (0.85) and F1-score (0.83) in the T2D-focused dataset and showing robust performance on the balanced dataset using RUS. These results highlight the suitability of Random Forest for deployment in clinical settings and underscore the importance of balancing techniques like RUS in improving predictive accuracy. However, challenges remain in predicting thyroid disorders among T1D patients due to the low prevalence of thyroid disorders in this group. The findings reinforce the potential of ML in advancing diagnostics and personalized care in diabetic populations.
Soft Clustering Techniques: An In-Depth Analysis of GMM and FCM Algorithms and Comparative Performance
Authors: Gatea Ali Noori , AL-Asadi Hamid Ali Abed
Published: December 2024

Clustering is one of the modern techniques that have been discovered to solve the problem of the degree of similarity and dissimilarity between data within the network. Clustering originates from unsupervised techniques whose main function is to organize data into subsets based on the degree of similarity between these data. The research conducted an analytical study on Fuzzy C-Means (FCM) and Gaussian Mixture Model (GMM), which are considered the most prominent clustering techniques and aims to compare them in terms of the time taken by each algorithm to cluster the data and the energy consumed. Experiments were conducted in four different scenarios. The experiments concluded that GMM showed variation in energy consumption when the number of clusters gradually increased, while FCM showed clear stability in most cases. In terms of time, GMM was generally faster with fluctuations in performance, while FCM's performance was stable but relatively slower. Ultimately, each algorithm is used in a specific environment. GMM is fast with fluctuations in performance, which is useful in applications that require speed in performance, unlike FCM, which is relatively stable but slower, which is useful in applications that require accuracy in results at the expense of time.
Novel Insights into the optical Properties of Poly (3-Hexylthiophene-co-Thiophene) with Varying Monomer Percentages
Authors: Ismael Ahmed , Hussein Hussein F. , Al-luaibi Salah S.
Published: December 2024

The study explains the effect of the copolymer overlay ratio on optical properties that can be utilized in solar cell applications. Copolymers prepared by additive polymerization were characterized. The X-ray examination results characterized the samples and showed that the prepared samples of pure and composite polymers possess a high degree of crystallinity. The prepared samples were also characterized by FT-IR spectroscopy, which showed that these films had clear active groups. The optical properties of all prepared films were also studied, such as absorbance within the spectrum range (200 - 800 nm) as a function of wavelength, and Band gab Energy Eg, Excitation Energy Eo, Dispersion Energy Ed, Refractive index (no) 2, Dielectric constant at high frequencies E∞, Moments of The Optical Spectra for Crystal M-1 M-3, The Average Oscillator So, Third-order visual effect X^3. The study showed that the absorbance spectrum of the films of the materials under study is within the visible spectrum region, where the most significant peak was recorded for the pure and composite polymers at the wavelength of 485 - 495 nm. The study showed that the optical energy gap of P3HT polymer (2.78 eV) and for Thiophene (2.3 eV) and the value of the gap decreased with the doping rate increased until it reached (1.88 eV) at the copolymer rate of 70 % P3HT 30% thiophene. It showed varying thicknesses ranging from approximately 49.1 to 10.2 nanometers, and the recorded roughness of the polymer surfaces ranged from 20.7 to 5.19 nanometers
The Role of cGMP in the Manufacturing Unit of a Pharmaceutical Industry
Authors: Ahmed Rashed
Published: December 2024

The Role of Current Good Manufacturing Practices (cGMP) in the manufacturing unit of a pharmaceutical industry is pivotal for ensuring the quality, safety, and efficacy of pharmaceutical products. cGMP regulations, enforced by regulatory agencies like the FDA, outline stringent requirements for the design, monitoring, and control of manufacturing processes and facilities. These practices encompass various aspects, including the validation of manufacturing equipment, proper documentation, employee training, and robust quality control systems. In the manufacturing unit, adherence to cGMP ensures that products are consistently produced and controlled according to quality standards. It involves meticulous documentation of every step in the manufacturing process, from raw material procurement to final product release. cGMP also mandates regular audits and inspections to identify and rectify any deviations or non-compliance issues promptly. Implementing cGMP minimizes the risk of contamination, mix-ups, and errors, thereby safeguarding public health. It fosters a culture of continuous improvement, where feedback and corrective actions are integral to the manufacturing process. Moreover, compliance with cGMP enhances the credibility and marketability of pharmaceutical products globally, as it aligns with international quality standards. Thus, cGMP is essential for maintaining the integrity of the pharmaceutical manufacturing process, ensuring that the end products are safe, effective, and of high quality.
Microorganismos del ciclo del nitrógeno en el tratamiento de lixiviados de residuos orgánicos municipales
Authors: Martínez-Jardines Miguel Ángel , Moreno-Quirós Roberto Carlos , Martínez-Hernández Sergio
Published: December 2024

Los lixiviados contienen altos niveles de materia orgánica y compuestos nitrogenados peligrosos para el ambiente. Los procesos biológicos microbianos asociados al ciclo del nitrógeno han mostrado altas eficiencias de remoción de materia orgánica y amonio, marcando un avance clave en la protección de los ecosistemas. Este estudio revela como una diversidad de bacterias ha sido identificada en laboratorio durante el tratamiento de lixiviados provenientes del centro de compostaje de la ciudad de Xalapa, Veracruz utilizando procesos como la nitrificación, desnitrificación y anammox (oxidación anaerobia del amonio), en los cuales, las bacterias son capaces de transformar los compuestos contaminantes en otros inocuos. Durante la investigación se emplearon diferentes configuraciones de reactores, logrando remociones de materia orgánica superiores al 75% y de nitrógeno mayores al 69%. Diversos géneros de bacterias como Nitrosomonas, Nitrospira, Pseudomonas y Candidatus kuenenia pudieron ser detectadas en estos procesos. Los avances de estas investigaciones resaltan el potencial de tecnologías basadas en microorganismos para el tratamiento de lixiviados de los residuos orgánicos municipales.
Adverse effects of doping on human health: A sistematic review
Authors: Jumareng M. Taqwal , Suherman Wawan Sundawan , Sukarmin Yustinus , Jumareng Hasanuddin , Prayudho Sandi
Published: December 2024

Drugs that fall into the category of doping are not only a problem in the world of sports but also a problem for humans involved in the world of sports, namely athletes, especially problems for their health. Currently, the substances contained in these dangerous drugs are also found in supplements, food, and drinks. Consuming these things poses a risk to the health of these athletes. The purpose of this literature review is to provide an explanation of the dangers of the effects of drugs that fall into the category of doping in preventing diseases that can attack as a result of the use of these drugs. The research method used is a systematic review (PRISMA) and the selection of study sources used is Scopus, PubMed, and Google Scholar. The results in this systematic review found several types of doping category drugs that are most often obtained, such as (1) Anabolic Androgenic Steroids (AAS), (2) Beta-2 Agonists, and (3) Stimulants. The conclusion of this study is that researchers hope this systematic review can be an education about the dangers or impacts that can be caused by the use of drugs or supplements that are included in the doping category.
Innovative infographics-assisted sports education: augmenting cognitive retention in prospective PE teachers
Authors: Nirmaladevi G , Prabha R. Saravana
Published: December 2024

Purpose. To assess the influence of innovative infographics-assisted sports education, augmenting prospective PE teachers’ cognitive retention of selected badminton laws. Material and Methods. Samples pursuing bachelor’s and master’s in physical education who opted for badminton as a specialization course were selected as samples from ten physical education colleges affiliated with Tamil Nadu Physical Education and Sports University (TNPESU), Tamil Nadu, India. Out of 110 prospective PE teachers, seventy-two males and thirty-eight women were randomly allocated into two groups: Baseline Group (BG) with fifty participants and Intervention Group (IG) with sixty participants. A researcher-made achievement test and retention questionnaires were used to assess types of faults in badminton, which served as quantitative components. The intervention group was interviewed to ascertain their opinions regarding using infographics in learning badminton laws through a semi-structured Interview Form. A mixed research model that consists of both qualitative and quantitative data collection was adopted in this study. The study followed an experimental posttest-only control group design. The BG and IG post-test outcomes were compared using statistical computations consisting of mean, standard deviation, coefficient of variance, and t-tests. Results. Overall, results revealed that information embedded with infographics mode has deepened prospective physical education teachers’ retention capacity. Conclusion. The learner’s cognitive domain positively impacts learning new skills and concepts through infographics implementations and instructional processes to elevate learner outcomes.
Correlation between dyspnea, risk of falling and quality of life in different age groups
Authors: Soliman Amir , Abdelsamee Mohamed Y , Mohammed Amira H. , Eid Elsayed A. , Ramadan Amira , Hasan Judy , Al Rashedy Shady , Galal Mahmoud A.
Published: December 2024

Background. Functional mobility and impaired balance are significant risk factors for falls. Many research studies investigate the link between falling and contributing variables. Dyspnea has been linked to emotional, cognitive, and physical problems such as memory loss, poor concentration, sweating, anorexia, weariness, sadness, panic, suffocating, anxiety, and diminished mastery. These findings indicate that “dyspnea is caused by both physiological and psychological alterations that could be addressed to assist in reducing these unpleasant manifestations.” Methods. An observational cross-sectional study was designed to assess breathlessness, fall risk, and quality of life in 638 participants across various age groups. The Dyspnea-12 Items Questionnaire, Fall Efficacy Scale, and Short Form-36 Items were administered in Arabic to collect data. Results. Analysis revealed a lack of correlation between dyspnea scale scores and all aspects of the SF-36 quality of life scale in adolescents. Conversely, a significant negative correlation emerged between the Fall Efficacy Scale and SF-36 scores across all age groups, suggesting that heightened fear of falling is associated with diminished quality of life. In geriatrics, both dyspnea and fall efficacy scores exhibited negative correlations with SF-36 scores, indicating that difficulties with breathing and fear of falling adversely impact quality of life. When analyzing all groups collectively, negative correlations persisted between dyspnea, fall efficacy, and SF-36 scores. Conclusion. Dyspnea and fear of falling are critical factors influencing quality of life across different age groups, with pronounced effects in geriatrics. The findings reveal that while fear of falling adversely impacts quality of life for adolescents, youth, and older adults alike, dyspnea is significantly correlated with quality of life only in the geriatric population. Trial registration. This study was retrospectively registered with Clinicaltrials.gov under the identifier NCT06303700 on 12 March 2024.
Effect of dynamic neuromuscular stabilization training on postural control in patients with essential hypertension
Authors: Taha Shimaa Taha Mohamed , Ali Shymaa Mohamed , El-Nahas Nesreen Ghareeb Mohamed , Abdellatif Ahmed Rabiee , ELsagher Momen ELsaied , Soliman Gaber Sayed
Published: December 2024

Purpose. To explore the efficacy of dynamic neuromuscular stabilization (DNS) on postural stability in hypertensive patients. Methods. 60 hypertensive patients, aged 54-64, years were split randomly into two groups. Group A (study group): 30 patients (13 females and 17 males) received DNS training, routine medical treatment, and a dietary approach to stop hypertension (DASH) diet. Group B, the control group, comprised 30 patients (16 females and 14 males) who received diaphragmatic breathing and balance training, routine medical treatment, and the DASH diet. Outcome measures: The Biodex Balance System (BBS), the Timed-Up-and-Go test (TUG), and the Modified Star excursion balance test (mSEBT) were all employed to assess postural control; the Pittsburgh Sleep Quality Index (PSQI) was utilized to measure sleep quality, and the 12-item Short Form Health Survey was utilized to quantify quality of life. Results. The stability index, TUG, and PSQI significantly reduced in both groups, while the mSEBT composite score and SF-12 significantly increased. However, Group A achieved further improvements in all measurements compared to Group B (p < 0.01), except in the Physical Component Summary (PCS) (p > 0.05). Conclusion. DNS training improves hypertensive patients’ postural control, sleep quality, and overall quality of life.
Annotated Checklist of Rhopalocera of Himachal Pradesh, India (Insecta: Lepidoptera)
Authors: Garlani Lovish
Published: December 2024

The checklist includes all known Rhopalocera species ever recorded in the state of Himachal Pradesh. All previously published literature, research papers, and reference material were referred and a complete bibliographic reference of all the species mentioned in the checklist is incorporated. This checklist covers 437 species, belonging to 184 genera under 19 subfamilies and 6 families. Moreover, a list of doubtful or misidentified Rhopalocera species reported from Himachal Pradesh is also provided with relevant details in the discussion section. Comments on taxonomic insights and distribution are provided for some species and a list of expected Rhopalocera species is also provided in the discussion section.
Imma phuocbuu Buchsbaum, Chi & Chen, sp. nov. from south Vietnam (Lepidoptera: Immidae)
Authors: Buchsbaum Ulf , Chen Mei-Yu , Minh Chi Nguyen
Published: December 2024

During a faunal survey of Lepidoptera in 2023, Imma phuocbuu Buchsbaum, Chi & Chen, sp. nov. was discovered and represents the first record of the genus in Vietnam. A single male specimen was collected from a transitional  biotype between mangrove and semi-deciduous dry lowland forest habitats near the coast. The new species is distinguished from Imma transversella (Snellen, 1878), I. semicitra Meyrick, 1937 and I. semiclara Meyrick, 1929 by differences in wing pattern and genitalia morphology.
New Larval Host Plant of Nausinoe perspectata (Fabricius, 1775) from Kolkata, West Bengal, India (Lepidoptera: Crambidae)
Authors: Das Srinjoy , Ghosh Biswatosh
Published: December 2024

Jasmin acts as a larval host plant and nectar plant for many insects including different Lepidoptera. Nausinoe perspectata (Fabricius, 1775) a particular species in common mostly feeds on leaves of Jasminum sambac (L.) Aiton. Jasminum multiflorum (Burm. f.) Andrews, under family Oleaceae popularly known as winter jasmine, Indian jasmine, and / or star jasmine is hereby reported as a new larval food plant or host plant for this species, Nausinoe perspectata (Fabricius, 1775) for 1st time from India.
Efektivitas Edukasi Kesehatan Berbasis Partisipatif Dalam Meningkatkan Pengetahuan Masyarakat Desa Rua Tentang Tanaman Obat Keluarga
Authors: Burhan Hesti Trisnianti , Rerun Lola Tulak , Sahrianti Nini , Marhamah Marhamah , Passi Nurul Izzah HL , Sunusi Happy Cahyani , Fajri Muh Daniel , Buamona Elvira , Prsetya Fiki Febrian Dwi , Yainahu Hairani , Utama Nugraheni Putri , Sulastri Teraika Sri , Fitriani Dwi , Hamid Abdul
Published: December 2024

Indonesia memiliki keanekaragaman hayati yang melimpah, termasuk tanaman obat keluarga (TOGA), yang dapat mendukung kesehatan masyarakat secara mandiri. Namun, pengetahuan masyarakat, khususnya di Desa Rua, Ternate, masih rendah terkait pemanfaatan, pengolahan, dan penggunaan TOGA. Penelitian ini bertujuan untuk meningkatkan pengetahuan masyarakat Desa Rua tentang tanaman obat keluarga melalui kegiatan edukasi kesehatan berbasis partisipatif. Penelitian ini menggunakan desain quasi-experimental dengan metode pre-test dan post-test pada kelompok kontrol dan intervensi. Sebanyak 40 peserta dipilih secara purposive sampling, dengan 20 orang dalam setiap kelompok. Intervensi berupa penyuluhan, demonstrasi pengolahan tanaman obat, dan penyediaan media pembelajaran. Pengetahuan peserta diukur dengan kuesioner sebelum dan setelah intervensi, dan data dianalisis menggunakan paired t-test. Hasil menunjukkan peningkatan signifikan (p<0,05) pada kelompok intervensi, dengan nilai rerata pre-test 50 yang meningkat menjadi 85, dibandingkan kelompok kontrol yang menunjukan peningkatan tidak signifikan (p>0,05) hanya naik dari 48 menjadi 52. Kesimpulan menunjukan bahwa edukasi Kesehatan berbasis partisipasi efektif dalam meningkatkan pengetahuan Masyarakat Desa Rua tentang TOGA.
Penyuluhan Pencegahan Anemia Pada Remaja Putri Di SMA Negeri 8 Konawe Selatan
Authors: Muchtar Febriana
Published: December 2024

Anemia terjadi akibat defisiensi zat gizi mikro, khususnya kekurangan zat besi sehingga menyebabkan kadar hemoglobin darah lebih rendah dari jumlah normalnya. Kelompok usia yang berisiko mengalami anemia adalah remaja putri. Remaja putri dikatakan anemia jika jumlah hemoglobin <12g/dl. Tujuan kegiatan pengabdian adalah untuk memberikan informasi kepada remaja putri tentang anemia dan upaya pencegahan anemia. Khalayak sasaran pada kegiatan ini adalah remaja putri SMA Negeri 8 Konawe Selatan. Kegiatan dilakukan dalam bentuk penyuluhan menggunakan metode ceramah, yaitu penjelasan tentang anemia yang diikuti oleh 30 siswi SMA Negeri 8 Konawe Selatan. Pemaparan materi menggunakan powerpoint yang disertai dengan diskusi dalam bentuk tanya jawab. Materi tentang anemia dapat dipahami oleh remaja putri yang ditandai dengan menjawab pertanyaan dengan benar selama tahap diskusi. Kegiatan berjalan lancar dan mendapatkan apresiasi dari pihak sekolah. Diharapkan remaja putri mampu memahami dengan baik materi yang diberikan sehingga dapat menerapkan dalam kesehariannya sebaga tindakan dalam mencegah anemia dan mewujudkan remaja putri yang sehat, aktif dan bebas anemia. Diharapkan peran serta instansi terkait dalam melakukan upaya untuk pencegahan anemia pada remaja putri.
Datificação do trabalho de comunicação
Authors: Figaro Roseli , Gonçalves Luis
Published: December 2024

Discutimos o processo de datificação da interação humano-computador (IHC), com foco no trabalho dos comunicadores. Trata a datificação como processo produtivo que envolve diferentes níveis de coleta e tratamento de dados. As materialidades sensíveis são a tradução do que se transforma em dados. O conceito recobre os dados captados no ato do trabalho e toda a subjetividade de quem trabalha; as etapas, métodos e formas técnicas do processo produtivo; e seus produtos. Essa riqueza alimenta bancos de dados que compõem os bens de capital das poderosas empresas que monopolizam a infraestrutura de conexão à internet.
Perceptions of Faculty Members and Graduate Students on Guidelines in the Face of Use of Text Generative Artificial Intelligence
Authors: Torres Rai G. , Linhalis Flavia
Published: December 2024

Major scientific institutions worldwide have integrated ethics into their policies to promote sound scientific writing practices and to guide authors in the AI era. This article summarizes initial discussions on academic writing and presents a comparison of perspectives on the development of guidelines for scholars across four distinct academic disciplines in higher education. Additionally, we underscore the importance of understanding the perceptions of these academic participants, as this insight can support decision-making by academic leaders. Furthermore, this understanding is essential for reassessing technology literacy within the academic community, with the goal of preserving academic integrity.
Generative Models Ethical Evaluation Approach: Industry Case Studies
Authors: Souza Cristian , Nascimento Diogo T. , Ramalho Lucas L. , Collins Eliane
Published: December 2024

The advance of AI, mainly in image and text generative models, has accelerated the AI presence in many applications in our daily lives. However, the access to this tool for a large audience implies rigorous evaluation to avoid output biases, discrimination and other ethical problems. This paper describes the evaluation method focused on generative AI and LLM to identify toxicity of outputs. The case studies showed the importance of model evaluation approach from identification of gender biases in an image generative model, and demonstrated that it’s quite simple to circumvent the guardrails of State of The Art LLMs in order to obtain harmful outputs.
Artificial Intelligence in Brazilian Law Courts: risks and governance standards
Authors: Santos Taina T. C. dos , Wassermann Renata , Maranhao Juliano
Published: December 2024

This paper examines the present application of Artificial Intelligence (AI) systems in Brazilian law courts, focusing on potential risks and ethical concerns associated with its integration. While AI has the potential to enhance productivity, its application in sensitive domains like criminal justice demands rigorous Verification and Validation (V&V) processes to mitigate biased outcomes. The study argues for classifying AI tools used in law enforcement as high-integrity systems and advocates adherence to standards such as IEEE 1012-2016. It underscores the need for comprehensive regulation and specialized training to address issues related to bias and privacy breaches, ensuring the responsible deployment of AI systems in the activities of law courts.
Por uma formação ética não prescritiva: agência e responsabilidade moral na Computação
Authors: Silva Roberto Cardoso Freire da , Carvalho Jaciara de Sá
Published: December 2024

O artigo ressalta a relevância da formação ética não prescritiva na Computação para a promoção agentes morais responsáveis. Nesse contexto, destaca o papel das Diretrizes Curriculares Nacionais em fomentar caminhos e experiências formativas que priorizem a dimensão humana da formação, constituídas sob propostas dialógicas transepistêmicas.
Avaliação do Desempenho de Abordagens Computacionais para Inferência Automática de Tons de Pele
Authors: Costa Igor Joaquim da S. , Silva Thais F. , Vasconcelos Marisa , Reis Julio C. S. , Almeida Jussara M. , Almeida Virgílio
Published: December 2024

Estimativas automáticas do tom de pele enfrentam desafios devido a vieses raciais e de gênero em abordagens de aprendizado de máquina. Neste trabalho, exploramos um conjunto de dados rotulado e avaliamos duas abordagens computacionais amplamente exploradas na literatura, ITA e CASCo, a fim de investigar a robustez e limitações nessa tarefa. Nossos resultados mostram que essas abordagens ainda apresentam falhas significativas, comprometendo sua aplicação em contextos reais onde a precisão é essencial.
Considerações sobre a regulação da Inteligência Artificial no Poder Judiciário e sua aplicação na Plataforma +Acordo
Authors: Celecia Alimed , Frajhof Isabella Z. , Mangeth Ana Lara , Lima Maria Julia , Nasser Rafael
Published: December 2024

O artigo visa apresentar propostas de regulação da Inteligência Artificial, focando na análise normativas que regulam a IA no Poder Judiciário a partir da +Acordo, uma plataforma de ODR do Tribunal de Justiça do Rio de Janeiro.
Responsabilidade Epistêmica: os processos de conhecer mediados por sistemas de inteligência artificial
Authors: Jesus Elizabeth Maria Freire de , Fróes Maira Monteiro , Dias Angélica Fonseca
Published: December 2024

Tecnologias de inteligência artificial cada vez mais medeiam e moldam as nossas práticas epistêmicas contemporâneas. O objetivo deste trabalho é contribuir com reflexões sobre as responsabilidades nos processos de conhecer, considerando as responsabilidades epistêmicas distribuídas pelas perspectivas individual e da governança de ambientes e sistemas.
Facing constitutive and normative aspects of different philosophical currents when approaching AI Ethics
Authors: Pinto Fernando , Garcia Ana Cristina
Published: December 2024

Integrating artificial intelligence (AI), particularly machine learning, into legal decision-making is gaining prominence across various jurisdictions. While AI systems can offer efficiency and support in legal decisions, they also raise significant ethical concerns. This paper explores how AI systems, designed with underlying philosophical frameworks such as deontology and utilitarianism, can lead to conflicting outcomes when applied to legal judgments. The paper argues for a multidimensional ethical approach to AI in law that aligns with the legal philosophy of the respective jurisdiction while ensuring transparency, auditability, and fairness in decision-making processes.
AI, Society and Environment: a Possible Complex System Framework
Authors: Costa Kleyton da , Modenesi Bernardo , Blay Enio Alterman , Munoz Cristian
Published: December 2024

The large-scale deployment of AI models introduces significant uncertainty regarding their systemic behaviour. While these models have the potential to boost productivity and advance fields such as health and climate science, they also pose risks, including the reinforcement of biases, the spread of misinformation, and support for autocratic regimes. This paper examines the interaction between social, environmental, and AI systems from the perspective of a complex system’s agent framework, using a resource-impact lens to explore these dynamics.
Effectiveness of Mindfulness-Based Interventions on Pain Intensity in Patients with Chronic Low Back Pain: A Systematic Review
Authors: Alipour Faeze , Norouzi Asghar , Hasannezhad Reskati Maryam , Hosseini Seyed Hamzeh
Published: December 2024

Context: Chronic low back pain (CLBP) is the most prominent cause of disability worldwide. For the treatment of CLBP, Mindfulness-based Interventions (MBIs) such as mindfulness-based stress reduction (MBSR), mindfulness-based cognitive therapy (MBCT), mindfulness meditation (MM) are often used; however, their exact effect on pain intensity has not yet been determined for these people. Objectives: This study aimed to evaluate the effectiveness of MBIs on pain intensity in people with CLBP. Data Sources: In this systematic review, all of the randomized controlled trials available on PubMed, PsycInfo, Cochrane Library, Google Scholar, Scopus, and ProQuest databases from 2014 to 2020 were reviewed. This study is also the first review article in the field of chronic low back pain that reviews the databases of Google Scholar, Irandoc, and SID in Persian. Study Selection: Studies were included if they were: (1) RCT; (2) had patients with chronic low back pain; (3) made a comparison between MBIs and a passive comparator (usual care) or an active comparator (such as cognitive-behavioral therapy (CBT) or health education); (4) examined pain intensity. Results: In the initial search, we found 297 trials in total databases. After removing duplicates and applying all inclusion and exclusion criteria, 9 RCT (totaling 959 patients) with CLBP were included for this systematic review. Conclusions: MBIs are effective solutions for coping with CLBP, and their effects are maintained for a long time. No significant difference was found between the effectiveness of these treatments and CBT treatment on pain intensity of patients with CLBP.
Investigating the Factors Related to Gastric Cancer with Conditional Logistic Regression Model: A Cross-Sectional-Retrospective Study
Authors: Naghipour Armin , Moghimbeigi Abbass , Poorolajal Jalal , Sadighi-Pashaki Abdolazim
Published: December 2024

Background: The incidence of stomach cancer in Iran, especially in the western and northwestern regions, has increased in recent years. Objectives: This study aimed to report the identified factors related to stomach cancer in Hamadan province. Methods: In this retrospective descriptive study, the data were collected by a researcher-made checklist. The 1: 2 matched controls were considered for each patient. Controls were age (± 5 years) and sex-matched. The control group was selected from a hospital sample with and without a family history of cancer. The data analysis was analyzed using a conditional logistic regression model under Stata software. Results: A total of 100 patients (male n = 77 and female n = 23) with gastric cancer (cases) were studied. The results showed that many variables such as smoking (P < 0.05), blood type (P < 0.05), job (P < 0.05), red meat (P < 0.05), pickle (P < 0.05), hot food (P < 0.05), salt (P < 0.05), alcohol (P < 0.05), and black tea (P < 0.05) were risk factors and variables such as education (P < 0.05), vegetables (P < 0.05), fruit (P < 0.05), fish (P < 0.05), physical activity (P < 0.05), broccoli (P < 0.05), and garlic (P < 0.05) were the preventive factors for gastric cancer. There was no difference between the investigated factors of controls with a family history of cancer and those without one. Conclusions: Health and treatment organizations and health policymakers are expected to reduce the incidence of stomach cancer by raising awareness and promoting proper diet by reporting the preventive and risk factors.
Does Embryo Transfer in the Blastocyst Stage Increase the Chance of Implantation and Live Birth? A Study in an Identical Population of Mice
Authors: Asgari Rezvan , Azami Shiva , Abdolmaleki Amir , Khazaei Mozafar , Sajadi Soraya , Maleki Hassan , Bakhtiari Mitra
Published: December 2024

Background: Based on the laboratory assays, there is no definitive decision about embryo selection with the proper embryogenic stage for successful transfer in the in vitro fertilization (IVF) technique leading to live birth. Objectives: This experimental study critically aimed to evaluate the efficacy of embryo transfer in cleavage and blastocyst stages based on the identical population (IP) concept. Methods: The IP concept was explained based on several critical points, including the strain (Balb/c), weight (30 g), age (six and eight weeks for females and males, respectively), number of previous sexual cycles, and the same generation. All embryos in each group were divided into grades A, B, and C. Finally, the produced embryos were transferred by trans-cervical procedure, and the mortality rate was recorded. Results: The number of implantation sites and live births increased in all grades of the blastocyst stage compared to the cleavage stage. The number and percentage of implantation sites in blastocyst and cleavage stages were: [11 (45.83%) vs. 3 (8.57%), P < 0.05] for grade A, [8 (29.62%) vs. 1 (5.26%), P > 0.05] for grade B, [2 (10%) vs. 0 (0%), P > 0.05] for grade C, and number and percentage of live births in blastocyst and cleavage stages were [5 (20.83%) vs. 1 (2.85%), P < 0.05] grade A, [3 (11.11%) vs. 0 (0%), P > 0.05] grade B, and [1 (5%) vs. 0 (0%), P > 0.05] grade C. Conclusions: Based on the results, the frequency of implantation sites and the live birth was higher in blastocyst transfer than in the cleavage stage in IVF.
Between ideals and reality. Critical reflections on basic training in Italian social work in the light of the results of research involving a group of municipal social workers
Authors:   University of Verona, Department of Human Sciences, Verona, Italy, Cecchi Sergio
Published: December 2024

Is the Italian social work today capable of developing its own cultural and scientific knowledge? What conditions influence this internal production process within the professional community of social workers? These questions are the focus of a reflection conducted with a group of 70 social workers from the municipal social services. More than twenty years after the inclusion of social work within university education, the discussion on the ability of this discipline to produce original scientific knowledge is intense in Italian social work. Caught between an operation increasingly guided by bureaucratic models and an increasingly complex social reality, social work must find a way to produce knowledge through reflective processes that often find little space in the institutions in which social workers operate.