bluuebunny/crossref_metadata_2025 huggingface dataset:
Enhancing the Properties of Liquid Crystal Polymers and Elastomers with Nano Magnetic Particles
Authors: Reeves Sarah J , Patel Dil , Harris Peter JF , Mitchell Geoffrey robert , Davis Fred J
Published: August 2024

Side-chain liquid crystal polymers have been mixed with ferromagnetic particles, and the for-mation of a monodomain in magnetic fields studied. At relatively low concentrations, the presence of ferroparticles substantially speeds up the rate of formation of a monodomain with the magnetic field and at a given concentration of ferrofluid that rate is independent of the magnetic field strength. In this way, rapid formation of a monodomain is possible at magnetic field strengths far lower than required for the liquid crystal polymer alone. This is anticipated to very helpful in the fabrication of devices based on monodomain liquid crystal elastomers. Wide angle x-ray scattering has been used to monitor the formation of the monodomain and small angle x-ray scattering can give some indication of the ferroparticle behaviour. A model is developed to explain the behaviour. The alignment properties of the ferroparticles is related to their ability to form chains under the influence of very low magnetic fields; these chains are of relatively low stability and may become disrupted after long times, high magnetic fields, or high concentrations. In general, the best results for alignment were at volume fractions below 1%, and under these con-ditions there is the potential for producing monodomain samples with improved properties; in particular shape changes with temperature are significantly larger as a result of improved backbone orientation. Experiments involving monodomain formation and director realignment suggest that the presence of ferroparticles results in a modification in the mechanism for alignment development driven by the organisation of the polymer backbone as a consequence of the con-straints offered by the morphology of the chains of ferroparticles.
IV-YOLO: A Lightweight Dual-Branch Object Detection Network
Authors: Yan Xin , Tian Dan , Zhou Dong , Wang Chen , Zhang Wenshuai
Published: August 2024

With the increasing demand for security surveillance, assisted driving, and remote sensing, target detection networks with rich environmental perception capabilities and high detection accuracy have become a research hotspot. However, detection techniques based on single-modality images face limitations in environmental adaptability, as they are easily affected by lighting conditions, as well as obstacles such as smoke, rain, and vegetation, leading to information loss and failing to meet the required accuracy. To address these issues, we propose a target detection network—IV-YOLO, which integrates features from both visible and infrared images. We built a dual-branch fusion network based on YOLOv8 (You Only Look Once v8) that combines infrared and visible images for target detection. On this foundation, we designed a Bidirectional Pyramid Feature Fusion structure (Bi-Fusion) to fully integrate complementary features from different modalities, reducing detection errors caused by feature redundancy and extracting fine-grained features of small targets through dual-modal fusion. Additionally, we developed the Shuffle-SPP structure, which combines channel and spatial attention mechanisms to enhance focus on deep features and further aggregate upsampling, extracting richer features. To improve the model’s expressive power, we designed a loss function tailored for multi-scale target detection boxes, accelerating the network’s convergence during training. Experimental results show that the proposed IV-YOLO network achieves an average precision (mAP) of 74.6% on the UAV remote sensing dataset, 75.4% on the KAIST pedestrian dataset, and 84.8% on the FLIR dataset. While ensuring detection accuracy, our model significantly reduces computational load, making it well-suited to meet real-time requirements. This architecture is expected to find broad application in fields such as autonomous driving, public safety, and others.
Design of a Novel Multiepitope Vaccine against Glioblastoma by In-Silico Approaches
Authors: Mirzaie Sako , Yuan Kevin Da , Ni Heyu , Wu Xiao Yu
Published: August 2024

Glioblastoma (GBM) is the most common malignant primary brain tumor, with a median survival rate of less than two years. Currently, there is no cure for GBM, underscoring the urgent need for innovative treatment approaches. Vaccine design emerges as a crucial strategy, offering a safe and effective means for both preventive and therapeutic interventions against GBM. In this study, we targeted four GBM-associated mutated surface proteins—urokinase plasminogen activator sur-face receptor (PLAUR), integrin beta-3 (ITGB3), and the B-41 alpha chain (HLA-B) and A-24 alpha chain (HLA-A) of the HLA class I histocompatibility antigens—to design a peptide-based vaccine. The vaccine construct includes cytotoxic T lymphocyte (CTL) and T helper cell (Th cell) epitopes, and was meticulously evaluated for antigenicity, allergenicity, and toxicity. The results indicate that the vaccine is antigenic and non-allergenic, making it a promising candidate. Additionally, the physico-chemical properties of the vaccine suggest stability and suitability for further de-velopment. Immune simulation studies predict efficient immune responses upon vaccine ad-ministration. Our vaccine shows promise as a potential tool in the fight against GBM, offering new hope for patients facing this devastating disease.
Development and Applications of Somatic Embryogenesis in Grapevine (Vitis spp.)
Authors: Carra Angela , Wijerathna-Yapa Akila , Pathirana Ranjith , Carimi Francesco
Published: August 2024

Somatic embryogenesis (SE) provides alternative methodologies for the propagation of grapevine (Vitis spp.) cultivars, conservation of its germplasm resources and for crop improvement. In this review, the current state of knowledge regarding grapevine SE as applied to these technologies is presented, with a focus on the benefits, challenges, and limitations of this method. The paper provides a comprehensive overview of the different steps involved in the grapevine SE process, including callus induction, maintenance of embryogenic cultures, and the production of plantlets. Additionally, the review explores development of high-health plant material through SE, the molecular and biochemical mechanisms underlying SE, including the regulation of gene expression, hormone signalling pathways, and metabolic pathways as well as its use in crop improvement programmes. The review concludes by highlighting the future directions for grapevine SE research, including the development of new and improved protocols, the integration of SE with other plant tissue culture techniques, and the application of SE for the production of elite grapevine cultivars, for the conservation of endangered grapevine species as well as for cultivars with unique traits that are valuable for breeding programs.
3D Reconstruction of Indoor Scenes Based on Neural Implicit
Authors: Lin Zhaoji , Huang Yutao , Yao Li
Published: August 2024

Reconstructing 3D indoor scenes from 2D images has always been an important task in computer vision and graphics applications. For indoor scenes, traditional 3D reconstruction methods suffer from the lack of surface details, poor reconstruction of large flat surface textures and areas with uneven lighting, and many falsely reconstructed floating debris noises in the reconstructed models. We add adaptive normal priors to the neural implicit reconstruction process to optimize the network, and improve the accuracy of volume density prediction by adding regularization terms to the neural radiation field to constrain the volume density obtained by weight distribution, and learn a smooth SDF surface from the network to obtain an explicit mesh model. Experiments show that the method proposed in this paper outperforms the state-of-the-art methods on ScanNet, Hypersim, and Replica datasets.
Olive Growing Farming System and Damage by Cicadas
Authors: González-Ruiz Ramón , Cueva-López Valentina , Sainz-Pérez María , Cuesta Cocera Francisco , García-Fuentes Antonio
Published: August 2024

Although cicadas have traditionally been considered pests of little or no importance, since the beginning of this century, an increase in damages is being recorded in olive groves of southern Spain. According to our hypothesis, the new agricultural practices would be behind it. During 2024, Intensive sampling has been carried out in organic grove, with herbaceus cover (VC2), and a second one with mixed vegetation cover (VC1, in which the crushed remains of the annual pruning are added). In both ecological groves, inventories of the vegetation have been carried out, as well as intensive sampling in the olive canopy, with the densities of oviposition injuries being recorded and compared with respect to conventional management (CONV). The objectives of this study: (1) to quantify the density of oviposition lesions under these three different farming systems; (2) to determine priority areas for cicadas oviposition within trees; (3) to develop a sampling method to assess damage over large areas. The results show significant increases in density of injuries in organic groves, with maximum values recorded in the olive grove with mixed cover. Oviposition injuries show an altitudinal gradient distribution, with maximum values in the lower zone. The factors involved are discussed.
Unique Features of Extremely Halophilic Microbiota Inhabiting Solar Saltwork Fields of Vietnam
Authors: La Cono Violetta , La Spada Gina , Smedile Francesco , Crisafi Francesca , Marturano Laura , Modica Alfonso , Nhu Khanh Huynh Hoang , Thinh Pham Duc , Thuy Hang Cao Thi , Selivanova Elena A. , Bản Ninh Khắc , Yakimov Michail M.
Published: August 2024

The artificial solar saltwork fields of Hon Khoi are important industrial and biodiversity resources in southern Vietnam. Most hypersaline environments in this area are characterized by saturated salinity, nearly neutral pH, intense ultraviolet radiation, elevated temperatures and fast desiccation processes. However, the extreme halophilic prokaryotic communities associated with these stressful environments remain uninvestigated. To fill this gap, a metabarcoding approach was conducted to characterize these communities by comparing them with solar salterns in northern Vietnam as well as with Italian salterns. Sequencing analyses revealed that the multiple reuses of crystallization ponds apparently create significant perturbations and structural instability in prokaryotic consortia. However, some interesting features were noticed when we examined the diversity of ultra-small prokaryotes belonging to Patescibacteria and DPANN Archaea. Surprisingly, we found at least five deeply branched clades, two from Patescibacteria and three from DPANN Archaea, which seem to be quite specific to Hon Khoi saltwork fields ecosystem and can be considered as a part of biogeographical connotation. Further studies are needed to characterize these uncultivated taxa, to isolate and cultivate them, which will allow us to elucidate their ecological role in these hypersaline habitats and to explore their biotechnological and biomedical potential.
Affective Computing Using an Emotion-Perception System for Interactive Experiences with Multi-Sensing Interfaces
Authors: Wang Chao-Ming , Lee You-Chieh
Published: August 2024

Affective computing has emerged as a prominent technology in recent years, driven by the increasing demand for machines capable of understanding and interpreting emotions. The COVID-19 pandemic has intensified this need by reducing physical interactions and increasing reliance on digital communication, which often involves complex emotional exchanges. To enhance social interactions by identifying and addressing negative emotions, an interactive emotion-perception system based on multi-sensing interfaces and affective computing has been proposed. Integration of gesture, voice, and brainwave sensors is employed to provide users with a rich sensory experience and immersive environment. Design principles and system development processes are derived from the affinity diagram method and prototype development approach. The proposed system was constructed, and experiments were conducted with 60 participants. Interpersonal interaction scenarios were explored to understand emotional transmission mechanisms, aiming to enhance user satisfaction and positive interpersonal experiences. Data were collected through indirect observation and questionnaires, followed by evaluation and statistical analysis. Findings include: (1) The emotion-perception system enhances positive interpersonal interactions by identifying 36 distinct emotions, with overall user emotions being positive but exhibiting notable individual variations; (2) The system effectively stimulates positive emotions and strengthens interpersonal interactions, with affective computing technology fostering enjoyable emotional resonance and high-quality relationships; (3) A positive correlation was observed between semantic analysis and brainwave metrics of relaxation and concentration, showing increased concentration and enhanced positive emotional interactions during message transitions; and (4) The multi-sensing and affective computing technology provides a pleasant and relaxing emotional journey, with interactions shifting from enthusiasm to comfort, demonstrating the system’s capacity for a satisfying and enjoyable experience.
Step-by-Step Development of a Recombinase Polymerase Amplification (RPA) Assay for Sex Identification in Papaya
Authors: Ávila-Hernández José Guadalupe , Coreño-Alonso Alejandro , Pantoja-Alonso Mario Alberto , Córdoba-Andrade Francisco Javier , Camas-Reyes Alberto , Martínez-Antonio Agustino
Published: August 2024

Papaya is a globally important crop, with production primarily based on hermaphrodite plants. Papaya has three sex types: male, female, and hermaphrodite, determined by flower morphology until the flowering stage. In this study, a recombinase polymerase amplification (RPA) assay was developed and optimized to identify the three sexes of papaya. Recombinant uvsX, uvsY, gp32, and Bsu DNA polymerase were used to study the effects of temperature, reaction time, and sensitivity conditions for RPA reaction efficiency. The optimal conditions were found to be 41°C and a 30-minute reaction time, allowing the detection of the target sex from specific DNA markers, even when using crude extract. The study shows that RPA could be used for sex determination in papaya, and the findings could contribute to developing a point-of-need strategy due to their sensitivity and specificity.
Is There a Relationship between the Concentration of Phenolic Compounds and the Versatility of Medicinal Plants in the Caatinga Biome?
Authors: Albuquerque-Silva Marcela Maria , Oliveira Marciel Teixeira de , de Oliveira Antônio Fernando Morais , Albuquerque Ulysses Paulino
Published: August 2024

This study explored the correlation between concentrations of phenolic compounds (phenols, tannins, and flavonoids) and the versatility of woody medicinal plants in the Caatinga, a seasonally dry forest region in Brazil. We examined whether these compounds influence the versatility of plants used by populations, given their known therapeutic properties. Plants were categorized as high or low versatility based on their relative importance (RI) values ​​at the regional level. Samples collected in Catimbau National Park, Pernambuco, were analyzed using colorimetric methods: Folin-Ciocalteu reagent for total phenols, casein precipitation for tannins, and aluminum chloride complexation for flavonoids. Contrary to expectations, no significant differences in phenolic compound concentrations were found between the high and low versatility groups. Higher levels of total phenols and tannins were observed in Myracrodruon urundeuva and Anadenanthera colubrina, both highly versatile species. However, less versatile species, such as Mimosa tenuiflora and Schinopsis brasiliensis, also showed high levels. Flavonoid content, notably lower than phenols and tannins, did not show significant variation between groups. Although phenolic compounds contribute to the therapeutic properties of medicinal plants, their concentration alone does not determine the versatility of plants in the Caatinga. Versatility is more likely influenced by ecological conditions, cultural practices, and species availability. This study highlights the need to integrate multiple perspectives in ethnopharmacological research.
Optimizing Pancreatic Cancer Therapy: The Promise of Immune Stimulatory Oncolytic Viruses
Authors: Thoidingjam Shivani , Bhatnagar Aseem Rai , Sriramulu Sushmitha , Siddiqui Farzan , Nyati Shyam
Published: August 2024

Pancreatic cancer presents formidable challenges due to rapid progression and resistance to conventional treatments. Oncolytic viruses (OVs) selectively infect cancer cells and cause cancer cells to lyse, releasing molecules that can be identified by the host’s immune system. Moreover, OV can carry immune-stimulatory payloads such as interleukin-12 which when delivered locally can enhance immune system-mediated tumor killing. OV’s are very well tolerated by cancer patients due to their ability to selectively target tumors without affecting surrounding normal tissues. OV’s have recently been combined with other therapies including chemotherapy and immunotherapy to improve clinical outcomes. Several OVs including adenovirus, herpes simplex viruses (HSV), vaccinia virus, parvovirus, reovirus, and measles virus have been evaluated in preclinical and clinical settings for the treatment of pancreatic cancer. We evaluated the safety and tolerability of a replication-competent oncolytic adenoviral vector carrying two suicide genes (thymidine kinase, TK; and cytosine deaminase, CD) and human interleukin-12 (hIL12) in metastatic pancreatic cancer patients in a phase 1 trial. This vector was found to be safe and well-tolerated at the highest doses tested without causing any significant adverse events (SAE). Moreover, long-term follow-up studies indicated an increase in the overall survival (OS) in subjects receiving the highest dose of the OV. Our encouraging long-term survival data provide hope for patients with advanced pancreatic cancers, a disease that has not seen a meaningful increase in OS in the last five decades. In this review article, we highlight several preclinical and clinical studies and discuss future directions for optimizing OV therapy in pancreatic cancer. We envision OV-based gene therapy to be a game changer in the near future with the advent of newer generation OVs that have higher specificity and selectivity combined with personalized treatment plans developed under AI guidance.
Approximate Solutions for Horizontal Unconfined Aquifers
during pure Drainage Phase
Authors: Akylas Evangelos , Gravanis Elias
Published: August 2024

We introduce and analyze conceptual approximations of the Boussinesq equation for horizontal unconfined aquifers during the pure drainage phase, without any reharge and zero-inflow conditions. We employ a variety of methods, which include wave solution, variable separation and series expansion to constract a new model and explore its behavior and performance against the Boussinesq equation and its exact (non-closed form) solution, at early and later times. The modeled non-linear forms are finally linearized concluding with explicit analytical expressions that incorporate most of the basic characteristics regarding the evolution of the water table and the outflow from the exact Boussinesq equation under different initial conditions. The endeavors of this work might be useful for theoretical and modeling purposes related to this problem.
Synthesis and Characterization of Mono- and Biphasic Ca1−xMnxHPO4·nH2O Compounds
Authors: Alyami Mohammed , Alsunaidi Haya Ali , Al-Kafawein Juma'a , Alanazi Abdulaziz A. , Alotibi Satam , Abdulaziz Fahad , Mahmoud Nada T. , Alshaaer Mazen
Published: August 2024

Calcium phosphates and manganese phosphates play a significant role in biomedical and engineering applications, and these compounds are both synergistic. These compounds could have great potential for use in different applications, particularly as precursors of biomaterials. Therefore, the aim of this study was to explore the effect of the gradual replacement of Ca2+ with Mn2+ on the phase composition and crystal structure of brushite (CaHPO4·2H2O), which could be useful for the production of Mono- and Biphasic Ca1−xMnxHPO4·nH2O Compounds. In order to prepare the starting solutions required for this study, Ca(NO3)2·4H2O, (NH4)2·HPO4, and Mn(NO3)2·4H2O were used at various molar concentrations. Afterwards, the Ca1−xMnxHPO4·nH2O compounds were prepared using dissolution and precipitation methods. These compounds were characterized using XRD, SEM, FT-IR, XPS, and TGA techniques. The findings revealed that Mn substituted Ca partially at low Mn/Ca molar ratios, 0.25, and Mn doping increased the unit cell of CaHPO4·2H2O. The produced biphasic compound was composed of monoclinic CaHPO4·2H2O and nanostructured orthorhombic MnHPO4·(H2O)3 after a continuous increase in the Mn/Ca molar ratio to 1.5. When the Ca/Mn molar ratio was above 1.5, a monophasic compound of the MnHPO4·(H2O)3 phase was formed. The MnHPO4·(H2O)3 compound was successfully prepared for the first time using this dissolution-precipitation method. It was also established that the Mn/Ca ratio of the starting solution can be modified to produce CaHPO4·2H2O and MnHPO4·(H2O)3 phases with specific weight percent compositions.
Federated Learning in Dynamic and Heterogeneous Environments: Advantages, Performances, and Privacy Problems
Authors: Liberti Fabio , Berardi Davide , Martini Barbara
Published: August 2024

Federated Learning (FL) represents a promising distributed learning methodology, particularly suitable for dynamic and heterogeneous environments characterized by the presence of Internet of Things (IoT) devices and Edge Computing infrastructures. In this context, FL allows you to train machine learning models directly on edge devices, mitigating data privacy concerns and reducing latency due to transmitting data to central servers. However, the heterogeneity of computational resources, the variability of network connections, and the mobility of IoT devices pose significant challenges to the efficient implementation of FL. This work explores advanced techniques for dynamic model adaptation and heterogeneous data management in edge computing scenarios, proposing innovative solutions to improve the robustness and efficiency of federated learning. We present an innovative solution based on Kubernetes which enables the fast application of FL models to Heterogeneous Architectures. Experimental results demonstrate that our proposals can improve the performance of FL in IoT and edge environments, offering new perspectives for the practical implementation of decentralized intelligent systems.
Impact of Operating Table Height on the Difficulty of Mask Ventilation and Laryngoscopic View
Authors: Ikeda Tsuyoshi , Miyoshi Hirotsugu , Xia Guo-Qiang , Kido Kenshiro , Sumii Ayako , Watanabe Tomoyuki , Kamiya Satoshi , Narasaki Soshi , Kato Takahiro , Tsutsumi Yasuo M
Published: August 2024

Background/Objectives: Airway management techniques, including mask ventilation and tracheal intubation, are vital across medical settings. However, these procedures can be challenging, especially when environmental conditions are less than ideal. This study explores how the height of the operating table affects the difficulty of surgical procedures involving mask ventilation and tracheal intubation. Methods: Twenty anesthesiologists participated in this study. We assessed the difficulty of procedures- such as mask ventilation, Macintosh laryngoscopy, and video laryngoscopy with McGRATH and AWS- on a four-level scale. The operating table’s height was adjusted at four points: operator's umbilicus, inferior margin of the 12th rib, xiphoid process, and nipple. Results: Mask ventilation was easiest at the operating table’s height aligned with the inferior margin of the 12th rib. Conversely, direct laryngoscopic exposure was perceived easier at higher table heights, with nipple height being optimal. McGRATH laryngoscopy showed consistent difficulty across table height, whereas AWS tended to be somewhat more difficult at greater heights. Conclusions: The optimal bed height for video laryngoscopy coincided with that for mask ventilation. Video laryngoscopy offers enhanced flexibility in optimal patient positioning compared to Macintosh laryngoscopy, contributing to its advantages in tracheal intubation procedures.
Digital Tools for Climate Health: Empowering Advocates in the Age of Environmental Challenges
Authors: Fabuluje Joy
Published: August 2024

This research investigates the transformative role of digital health solutions in tackling climate-related health challenges. The study underscores the potential of digital health innovations to empower individuals and communities, fostering resilience and collective action in addressing the health impacts of climate change. By enhancing the accessibility of critical health information and enabling real-time responses, these digital tools not only mitigate immediate risks but also contribute to long-term public health strategies. The findings highlight the importance of integrating digital health solutions into broader climate health initiatives, demonstrating their capacity to bridge gaps in public health infrastructure, especially in vulnerable populations. This research calls for continued investment and innovation in digital health technologies as a vital component of global efforts to combat the growing challenges posed by climate change
Paleoenvironmental reconstruction of Lake Vrana on the Island of Cres (Croatia) based on geochemistry and mineralogy of the Late Pleistocene and Holocene sediments
Authors: Ilijanić Nikolina , Miko Slobodan , Hasan Ozren , Brunović Dea , Miko Martina Šparica , Mesić Saša
Published: August 2024

A 7.4 m long sediment core has been retrieved from the central part of Lake Vrana on the Island of Cres to reconstruct the paleoenvironmental conditions. Lake Vrana is the deepest freshwater lake in Croatia, located in the karst region of the eastern Adriatic coast. A dated sediment sequence in Lake Vrana of 4.4 m spans the past 16.4 kyr, and features a dynamic sediment deposition until the beginning of the Holocene, including strong sediment input and supply to the lake by runoff sediments of dolomitic origin from the catchment in the period 16.4-14.4 cal kyr BP. High organic carbon content, which originates from mixed terrestrial and aquatic origins in the periods 14.4-13.3 cal kyr BP and 12.7-11.7 cal kyr BP, indicates fluctuating lake levels in shallow water environments during the late glacial to Holocene transition. The Holocene sequence indicates the development of more stable conditions and continuous sediment deposition, characterized by increasing trend of siliciclastic sediments delivered into the lake during the early Holocene (11.7-10 cal kyr BP), and dominantly from 8 to 4.4 cal kyr BP, indicating enhanced input and erosion, which coincides with humid and pluvial period, recorded in the central Mediterranean region. It is followed by sediments with high organic carbon content between 4.4 to 1.6 cal kyr BP, which points to higher lake productivity. Calcite sedimentation prevail between 1.6 to 0.4 cal kyr BP, indicating stable deeper-lake conditions, while dominantly siliciclastic sediments in the period 0.4-0.1 cal kyr BP indicate erosion during Little Ice Age (LIA), with enhanced precipitation and sediment discharge from the catchment. The re-establishment of calcite sedimentation has been observed over the last 100 years.
Upaya Hukum dalam Strategi Perlindungan Data pada Penggunaan Internet Studi Kasus : Hacker Bjorka
Authors: Putri Annisa Nadya
Published: August 2024

Kasus peretasan yang dilakukan oleh Bjorka telah menimbulkan kontroversi dan menarik perhatian publik karena aksi meretasnya terhadap berbagai data penting dan penyebarannya melalui media sosial. Artikel ini bertujuan untuk mengkaji upaya hukum yang dapat diterapkan dalam strategi perlindungan data terkait penggunaan internet, dengan fokus pada kasus peretasan oleh Bjorka. Penelitian ini membahas kerangka hukum dan regulasi di Indonesia yang relevan dengan tindakan peretasan Bjorka. Selain itu, penulis mengeksplorasi solusi dan upaya yang dapat diambil oleh pemerintah, lembaga yang bertanggung jawab, dan masyarakat dalam menanggulangi ancaman keamanan siber. Penelitian ini menggunakan pendekatan kualitatif dengan literature review sebagai metode pengumpulan data. Artikel ini disusun secara deskriptif, mengintegrasikan berbagai data primer dan data sekunder untuk mendukung analisis. Dengan merinci peraturan UU ITE, KUHP Baru, aspek-aspek kejahatan siber, dan kasus peretasan Bjorka, penelitian ini diharapkan memberikan kontribusi pada pemahaman mendalam tentang kerangka hukum dan strategi perlindungan data di era digital.
Analisis Soal pada Buku Tematik Kelas VI Tema 6 Menuju Masyarakat Sejahtera Berdasarkan Tingkat Kognitif Anderson dan Krathwohl
Authors: Rida Amri Muhammad , Atmojo Idam Ragil Widianto , Ardiansyah Roy
Published: August 2024

Penelitian ini bertujuan untuk menganalisis sebaran soal yang terdapat dalam Buku Tematik Kelas VI Tema 6 Menuju Masyarakat Sejahtera Berdasarkan Tingkat Kognitif Anderson dan Krathwohl. Penelitian ini merupakan jenis penelitian analisis isi dengan pendekatan kualitatif deskriptif. Data dalam penelitian ini adalah sebaran soal yang dikategorikan menurut tingkatannya berdasarkan Tingkat Kognitif Anderson dan Krathwohl. validasi instrumen menggunakan teknik FGD dan rumus Aiken. Sedangkan keabsahan data menggunakan peningkatan ketekunan dan triangulasi penyidik. Sumber diperoleh dari buku guru dan buku siswa. Teknik pengumpulan data yang digunakan adalah studi dokumen. Teknik analisis data yang digunakan adalah model analisis interaktif dari Miles dan Huberman. Hasil penelitian ini diperoleh persentase sebesar 44,77% untuk C1, 40,12% untuk C2, 0% untuk C3, 8,72% untuk C4, 1,74% untuk C5, dan 4,65% untuk C6. Dari hasil tersebut dapat disimpulkan bahwa soal-soal dalam buku tidak memenuhi kriteria sebaran soal yang baik berdasarkan pendapat Helmawati (2019) dan Sudjana (2016), dan hanya memberikan soal dengan kategori HOTS 15,11 %.
Persepsi guru mengenai kurikulum merdeka di sekolah dasar
Authors: Hemaswitary Kartika Chandra , Mahfud Hasan , Supianto Supianto
Published: August 2024

The goal of this study is to learn how the autonomous curriculum being used in Indonesia is seen by the instructors at SD N Tunggulsari II. Descriptive techniques are used in this study's qualitative methodology. Five instructors from SD N Tunggulsari II served as the study's subjects. Interviews, observation, and documentation are used for data collection. Sugiyono's theory, which encompasses data reduction, data presentation, and conclusionmaking, is used in data analysis. The study's findings show that teachers have a positive opinion of the autonomous curriculum, but there are still many areas that need to be changed in order for it to be used more successfully.
Preoperative Nutrition Impacts Retear Rate After Arthroscopic Rotator Cuff Repair
Authors: Shitara Hitoshi , Ichinose Tsuyoshi , Sasaki Tsuyoshi , Hamano Noritaka , Kamiyama Masataka , Miyamoto Ryosuke , Ino Fukuhisa , Nakase Kurumi , Honda Akira , Yamamoto Atsushi , Takagishi Kenji , Chikuda Hirotaka
Published: August 2024

Background:

A rotator cuff retear following arthroscopic rotator cuff repair (ARCR) is a concern in older patients. However, only a few of its risk factors are amenable to preoperative intervention. We aimed to elucidate the relationship between preoperative nutritional status and rotator cuff retears after ARCR.

Methods:

This single-center retrospective study included patients aged ≥65 years with rotator cuff tears who underwent ARCR. The Geriatric Nutritional Risk Index (GNRI) was used to assess preoperative nutritional status. Data collection encompassed patient demographics, clinical assessments, and surgical specifics. Patients were divided into healed and retear groups based on 2-year post-ARCR magnetic resonance imaging results. Logistic regression analysis was conducted to adjust for confounding factors and detect independent risk factors for retears. The GNRI cutoff value for retear prediction was determined by a stratum-specific likelihood ratio; clinical outcomes were compared based on the cutoff values obtained.

Results:

Overall, 143 patients were included. The retear rate was 20.3%. The albumin level, GNRI, postoperative shoulder strength of abduction and external rotation, and postoperative Japanese Orthopaedic Association and Constant scores in the retear group were significantly lower than those in the healed group. The logistic regression analysis showed that low risk of morbidity and mortality (compared with no risk) based on the GNRI (odds ratio [OR], 3.39) and medial-lateral tear size per mm (OR = 1.10) were independent risk factors for a retear 2 years after ARCR. Stratum-specific likelihood ratio analysis identified data-driven strata as GNRI < 103, 103 ≤ GNRI < 109, and GNRI ≥ 109. Univariate analysis showed that patients with GNRI < 103 had a significantly higher retear risk than those with 103 ≤ GNRI < 109 and those with GNRI ≥ 109. Logistic regression analysis showed that GNRI < 103 compared with 103 ≤ GNRI < 109 (OR = 3.88) and GNRI < 103 compared with GNRI ≥ 109 (OR = 5.62), along with the medial-lateral tear size per mm (OR = 1.10), were independent risk factors for a retear at 2 years after ARCR.

Conclusions:

When assessing the risk of a retear after ARCR, GNRI ≥ 103 may indicate good preoperative nutritional status. However, more data are essential to ascertain the importance of this finding.

Level of Evidence:

Prognostic Level III. See Instructions for Authors for a complete description of levels of evidence.
Pengembangan Kualitas Pribadi Konselor Secara Profesional dalam Pelayanan Bimbingan Konseling
Authors: Insani Nurul , Astuti Budi
Published: August 2024

The personal qualities of a counselor are crucial in the implementation of guidance and counseling. A counselor must demonstrate themselves as a whole and authentic individual, capable of building unique, harmonious, dynamic, persuasive, and creative interpersonal relationships. These qualities serve as the driving force behind the success of counseling services. The purpose of this study is to describe the Development of Counselor's Personal Qualities Professionally in Counseling Services. The findings of this research indicate that a counselor's personal qualities encompass not only individual aspects such as empathy, patience, and integrity but also contextual factors like culture, religious values, and professionalism within the counseling practice context
Development of State Green Sukuk as A Government Effort to Realize Green Environment
Authors: Yulitasari Lis , Tresiana Novita , Ekawati Evi
Published: August 2024

Along continued issue development of green and sustainable development, fundraised for finance project greening keep going increase. Principle invests in Islamic finance combined with a draft-friendly environment and sustainability. The instrument of innovative Islamic finance-based continuity, like Green Sukuk in Indonesia, offers potential and importance for supporting the development economy in line with the effort protection environment. This study aims to know the development of green sovereign Sukuk as part of creative and innovative financial market financing Islamic (financing development).The method used by the author is qualitative, with a review of the literature. Literature research is a way to find relevant references to problems that arise.Research results show that the issuance of green Sukuk is an effort application sustainability in Indonesia. Green Sukuk is significant in Indonesia because this country is one of the countries with a level of vulnerability and high disaster. Disaster frequently happens in Indonesia. Tragedy growing hydrometeorology increase consequence change, and increasing climate increase consequence development sustainability, which is not noticed environment. The more many developments continuously neglect the environment and influence change climate with the way it cause droughts and floods, which then influence the economy.
Understanding Strain Signals from Low-Frequency Distributed Acoustic Sensing In-Well Measurements: Experimental and Numerical Modeling
Authors: Bradley N. A. , Haavik K. E. , Landrø M.
Published: August 2024

Over the past few decades, the potential of distributed measurements using in-well fiberoptic data has been demonstrated. In particular, low-frequency distributed acoustic sensing (LF-DAS) has experienced rapid growth toward monitoring wells for integrity and production purposes. Despite technological advancements, applications in this space have been hindered by a limited understanding of the data. The richness of detail in the data is a double-edged sword; while it provides substantial amounts of information to guide the operator, it simultaneously complicates the task of deciphering the underlying signals. To address this issue, it would be advantageous to devise a straightforward approach to understand the nature of common signals due to strain encountered during routine well operations.

We present an experimental method for interpreting tubing strain signals using a long spring that is fixed at both ends, mimicking the tubing in a well. Tracking the position of coils over time allows us to record the displacement when a force is applied to the spring. We show that the displacement observed from such an experiment is similar to what we observe in LF-DAS data from wells in operation. Typical signals, such as the pistoning effect on a valve or strain caused by fluid flow, are compared with experimental data. More complex phenomena, such as stick/slip friction and thermal expansion, are modeled using a mass-spring system and compared with wellbore examples. Developing a fundamental understanding of the signals will allow for real-time identification of events, facilitated by fiber-optic data, substantially enhancing operational outcomes by preempting integrity issues and promoting production optimization.
Stacking model based on six base classifiers to improve prediction of soil liquefaction: a multi-dataset study
Authors: Yao Xiaofei , Chen Yumin , Gao Hongmei , Sarajpoor Saeed , Li zhenxiong , Han Yi
Published: August 2024

Prediction of soil liquefaction during earthquake is a crucial task to mitigate or avoid damage caused by liquefaction. The existing machine learning methods have achieved satisfactory prediction accuracy on specific datasets, but they are unable to perform well on other datasets. To overcome the limitation, a novel prediction method based on stacking strategy are proposed to evaluate earthquake-induced liquefaction potential of soil, which is composed of six base classifiers and secondary classifier. The hyperparameters are tuned by grid search algorithm and the AUC value under ten folds cross validation are utilized as the basis for obtain the optimal hyperparameters. The applicability of stacking model was verified using three widely used datasets. Six performance metrics are utilized to analyze and compare the performance of base classifiers and stacking model. The result indicates proposed model outperforms base classifier in all three datasets in terms of the metrics mentioned above. Furthermore, the proposed method underwent a comparative evaluation against other existing machine learning techniques, revealing that the prediction accuracy achieved by the proposed model surpasses that of the existing methods. Also, this study investigated the importance of input parameters so as to interpret the complicated relationship between liquefaction potential and input parameters.
Analysis of CO2 Emissions by Selected Sri Lankan Apparel Industry Factories Across Economic Shifts (2019-2022)
Authors: Dissanayake Thilina , Lokupitiya Erandathie
Published: August 2024

The effects of economic growth on environmental well-being are frequently examined, but it is equally crucial to evaluate the impact of economic downturns. This study aims to address this gap by focusing on Sri Lanka’s export-based apparel manufacturing sector. Due to global concern on climate change and related impacts, there is an urgent need to reduce industry sector emissions of greenhouse gases, including CO2. The study investigates monthly CO2 emissions from 2019 to 2022, covering pre-COVID-19 (Jan 2019 - Jan 2020), COVID-19 (Feb 2020 - May 2021), and the economic crisis (Jun 2021 - Dec 2022) periods. Data from six major export-oriented apparel factories were analyzed for their CO2 emissions, using IPCC (2006) guidelines for national greenhouse gas inventories. The monthly CO2 emissions showed a significant disparity across the considered economic periods (χ² = 23.44, p<0.001). Notably, Scope 1 emissions, entailing onsite direct emissions from fuel combustion, witnessed a distinct mean increase of 126% during the economic crisis period (241.47 ± 62.25 t CO2) compared to the mean COVID-19 period (106.78 ± 40.61 t CO2, p<0.001) and a 78% rise compared to pre-COVID-19 levels (135.17 ± 30.64 t CO2, p<0.001). Multiple linear regression on monthly average exchange rates and monthly production revealed a significant impact on monthly emissions (Adj. R² = 0.761, p<0.001), with both factors showing positive influences. The current study highlights the importance of incorporating greener solutions in industries and countries facing similar economic challenges.
Simulation of nitrate nitrogen concentration and DOM characteristics in southwest karst wetlands using an improved GMS model
Authors: Gong Chunjin , Dai Junfeng , Wan Zupeng , Zhang Hongyan
Published: August 2024

This study aims to simulate and predict the nitrate nitrogen (NO3−-N) concentration in groundwater using a Gaussian function model combined with the Groundwater Modeling System (GMS) identification model. Additionally, the components of dissolved organic matter (DOM) in groundwater were measured using fluorescence spectroscopy to analyze their variation characteristics and effects on NO3−-N. The results demonstrated that the Gaussian curve fitting method accurately simulates NO3−-N concentration. For the southwest karst wetland, coupling the Gaussian function model with the GMS model effectively simulates and predicts changes in groundwater NO3−-N concentrations. The simulation indicates that NO3−-N concentrations are lower in the northern region and higher in the central area, with peak values at lower elevations reaching 20.732 mg/L. NO3−-N is primarily concentrated in the southwestern region of the study area and the upper part of Mudong Lake, showing a diffusion trend from west to east. Analysis of DOM characteristics reveals significant contributions from autochthonous sources, primarily endogenous metabolic products of microbial decomposition. The total fluorescence intensity and its components generally increase downstream, being lowest at the source and highest at river confluences. The humification index (HIX) indicates that groundwater with lower NO3−-N concentrations has lower HIX values, while higher NO3−-N concentrations correspond to higher HIX values. In summary, this study provides new insights into the simulation and prediction of NO3−-N in groundwater and the characteristics of DOM, serving as a reference for the protection of groundwater systems in the southwest karst basin.
Livestock Feeding Practices in South Kivu, Eastern Democratic Republic of Congo: Challenges and Opportunities
Authors: Azine Pascaline Ciza , Mugumaarhahama Yannick , Mutwedu Valence Bwana , Baenyi Simon Patrick , Kunde Emmanuel Amani , Mwanga Jean-Claude Ithe Mwanga , Bacigale Samy Bashizi , Karume Katcho , Ayagirwe Rodrigue Basengere-Balthazar
Published: August 2024

Livestock production in South Kivu is a major source of rural income. Increasing livestock productivity through improved livestock feeding is critical to alleviating poverty among smallholder farmers. The study aims to provide evidence-based recommendations for improving livestock productivity in South Kivu. It assesses the availability and use of feeds for livestock in Kabare, Uvira and Walungu. Current feeding practices are traditional, resulting in suboptimal animal nutrition. Livestock diets consist mainly of fodder and crop residues. Different botanical families provide essential fodder for livestock in the region. Disparities in forage availability affect animal nutrition and productivity, requiring targeted interventions. Additionally, a comprehensive SWOT and NOISE analysis were conducted to assess the current state and potential approaches for improving livestock feeding practices. Strengths include farmers' expertise and strategies to cope with forage scarcity, particularly in the dry season. Weaknesses include limited land tenure and limited adoption of intensive systems. Opportunities include diversification of food sources and farmer training. Challenges include climate variability and socioeconomic constraints. Proposed improvements focus on feed quality, nutritional supplements, and training. Strategic actions include policy advocacy and community involvement. Exceptions highlight the importance of tailoring practices to local contexts.
Investigation of the impact of diverse climate conditions on the cultivation suitability of Cinnamomum cassia using the MaxEnt model, HPLC and chemometric methods in China
Authors: Li Yanqun , Yang Yang , Gu Dingze , Cheng Yanrong , Lv Xuejuan , Huang Yan , Ye Peng , Liu Xiaomin , Tan Huiping , Liu Yujie , Guo Yongtong , Bai Mei , Huang Rongshao , Wu Hong
Published: August 2024

Cinnamomum cassia Presl. is a subtropical plant that is used for food and medicine. Climate change has changed the suitable habitats of medicinal plants, which might have repercussions for the efficacy of herbal remedies. In this study, the potential distribution in each period of Cinnamomum cassia was predicted and the quality in different suitable habitats was evaluated. According to the results, (1) precipitation, temperature, and soil are the primary environmental variables influencing C. cassia distribution. (2) The high-suitable habitats of current climate scenarios were predominantly located in the southern regions (Guangdong and Guangxi etc.) of China. Under future climate scenarios, suitable habitats will increasingly move northward, with a greater concentration south of the Yangtze River. (3) HPLC and FTIR, combined with chemometrics, can be effective methods for identifying different suitable habitats of C. cassia. The content of trans-cinnamaldehyde is significantly higher in the high suitability habitat compared to the medium-low suitability habitat. Our findings can offer valuable guidance for the identification of suitable C. cassia cultivation areas in China, as well as for the evaluation of C. cassia resource quality and the rational use of resources in different suitable habitats.